Categories
Forex Chart Basics

Dissection of a Candlestick

A candlestick is a type of price that financial markets’ charts use to display the high, low, opening, and closing prices for a particular period. It is the most commonly used price chart among financial traders nowadays. It does not only show the high, low, opening, and closing prices but also represents the true psychology of the traders. This is the main reason for the candlestick/candlestick chart being the most popular chart in the financial markets.

Let us demonstrate two typical types of candlesticks to find out how they look and how they are formed.

Let us start with a Bullish Candlestick.

In a Bullish Candlestick, the price opens at the downside; goes down and goes up again. This is what creates the lower shadow. The price continues to go upwards and goes all the way up to where the upper shadow ends. It comes down and closes at the Closing Price. This is what creates the Upper Shadow. Eventually, Opening Price and Closing Price creates Bullish Body. A Bullish Candlestick is usually represented by Green or White color.

Let’s have a look at a typical bullish market in Candlestick Chart.

The chart shows that the market is bullish. Most of the candles are bullish candlesticks. Thus the price heads towards the North. However, not all of them have Upper Shadow, Lower Shadow, or a thick Body that we have demonstrated in this lesson earlier. The market produces several types of Candlesticks, and they convey different messages to the traders.

A Bearish Candlestick is just the opposite. Let us have a look at that.

As we see here, that the price opens at the upside. Goes up and comes down to create the Upper Shadow. Comes all the way down and closes the price a bit further up. This is what creates the Lower Shadow. Difference between the Opening and Closing Price creates the Bearish Body.

Let us have a look at a bearish market in Candlestick Chart.

Same goes here. Not all the candlesticks are as typical as we have demonstrated in our lesson. However, the message is clear here. The price is bearish because of the dominance of Bearish Candles.

Not all the candles with a bearish body (or bullish body) declare the supremacy of the bearish market (or bullish market). By being able to read them well, traders can predict the market’s trend, trend continuation, and trend reversal.

In our fore coming articles, we will learn different types of candlesticks that the market produces; how they look like; what message they convey to the traders; how to read and make a profit out of them.

 

 

 

Categories
Forex Indicators

Five Great Things you’ve Never Heard about Bollinger Bands

 

Everybody knows Bollinger Bands, that kind of rivery thing surrounding prices. But almost nobody knows what to do with them. Maybe we can help a bit with that.

1 – Bollinger Bands and Trends

Bollinger Bands are based on Moving Averages. Therefore the central line is the 20-period moving average. As a corollary, if the price of an asset is above the mid-BB-Line, it usually is trending UP. Conversely, if it is below the mid-BB-Line, it tends to be trending down.

Fig 1 – Uptrends see prices moving near the +1 Bollinger line

2 – Bollinger Bands Are more Useful Customized

There is no need to use only the standard 2-StDev Bollinger bands. We, as traders, can create different band types. In my case, I use to draw 1-StDev and 3-StDev bands. The reason will come clear in the next bullet point.

Fig 2 – 1,2 and 3 sigma Bollinger Bands as a Map of the Price Action

3 – Bands and Price Action

Bollinger Bands maps the price action. By that, I mean we can assess how much the price is away from the mean. If we think of the mean price as the consensus of value at a particular moment, Bollinger bands help evaluate if the asset is overpriced or underpriced and profit from that information. That is so because the lines are pictured at a standard distance from the mean.

There is one theorem about a broad class of probability distributions called Chebyshev’s inequality (also called Bienaymé–Chebyshev inequality). The Chevyshev’s inequality guarantees that there is a minimum of data values within a certain distance from the mean value of a distribution. And it does not need to be a normal or bell-shaped distribution for this theorem to hold. It only needs to have a finite average.

From these figures, we can see that if we spot prices moving beyond the +2 Bollinger line, there is a 75% chance the price moves back. If that price extension goes to the +3 BB-Line the chance of it retracing is 89% and so on. That applies to the negative side as well so, prices below -2BB-line and -3BBline have 75% and 89% chance of reversing.

That means Bollinger bands are terrific overbought and oversold indicators. Consequently, it pays to have visible at least a couple of bands in our charts. There bands: +1, +2 and +3 Sigma bands will map your price action beautifully.

 

4 – Prices Tends to Visit the Mean

From the extremes, the price tends to find support on its Mean price. That means the price tends to visit the mean Bollinger line before resuming the trend (of course, this also happens when the trend changes). One recurring pattern is for the price to move beyond +2 BB-line, creating one or two candlesticks with a large upper wick and closing lower. Then, the following candles move steadily back (or sideways) to visit the mid-BB line, and then start a new leg up. That also applies to downward trends. The price moves below the -2BB-line and even the -3BBline and then creates a large lower wicked candlestick to, then, move back to the mean.

Since the mean is a moving average, the mean continues moving up or down in the subsequent bars, so, it is not uncommon that the price moves quite horizontally as can be seen on the chart.

 

5- From Impulses to Corrections

Bollinger Bands warns about pauses and the end of a trend. It also warns about the continuation of the trend.

Bollinger Bands expand with volatility and shrink with le lack of it. When we spot that the Bollinger bands are starting to shrink, it is almost sure the trend has stopped moving. It might be a consolidation period or a reversal. Therefore, band shrinkage is a flag for traders to take some profits out of the table.

Sideways range-bound movements make the bands shrink. When a breakout of the range occurs, the bands expand, signaling a new period of increased volatility and price movements.

 

 

Categories
Forex Daily Topic Forex Psychology

Two Mistakes Novice Traders Should Avoid

On this article we are going to discuss two mistakes novice traders should avoid to succeed in the financial markets. Reading a book about trading or a strategy article on a website makes trading the markets seem easy, But that is far away from the truth.

Judgmental errors

“We typically trade our beliefs about the market, and once we’ve made up our minds about those beliefs, we’re not likely to change them” – Van K. Tharp

 

Joe Novice comes to the markets, after reading a marvelous book explaining to him how to win easy money in the markets. The book has beautiful charts describing how. Joe has learned a lot from this book. Now he knows what bull and bear candlesticks are. He has learned to distinguish patterns. Head and shoulders, double tops and bottoms, the Morning Star and its counterpart the evening star. He also learned some handy indicators such as the Stochastics, the RSI, and the MACD. Finally, he has also get acquainted with the concepts of support, resistance, and breakout. He thought that was key to succeed

Prices Move faster in real-time than on a book illustration.

Joe founded his account with his first $1,000 to experience the exciting world of big wins. Then he downloaded his MT4 station to begin operating. He created the setup recommended in the book and started looking for major pairs and decided that for his scalping purposes, he should use 1-minute charts.

The first thing that surprises Joe is that prices are continually moving. He was switching from pair to pair on his laptop, but nothing happened until he left the chart and moved to another one. The price action seems to occur only when he wasn’t looking! That made him think that he must concentrate on just a couple of charts at a time.

Also, Joe had a hard time making decisions. For some reason, the strategy explained in the book only was evident after the fact. The right moment to trigger the trade seemed never to show. He was late to pull the trigger most of the time, and when not late, the moment to pull it did not appear right.

Representation Bias

How can a trader make money using patterns and levels everybody sees?

The fact is that all technical analysts are able to spot support and resistance levels. So why people make money trading breakouts? Or don’t they?

People believe in charts as if they were truths. They believe that charts represent the activity of the markets. In fact, bars or candlesticks are just approximations to that activity. The issue is that what we see is the representation of past action, but we do not see the reasons why the price arrived at that place.

What if most traders really didn’t have the right information to make decisions. What if only a handful of privileged traders owned that knowledge? Let’s suppose that these smart guys have the privilege to see where is the real supply zone. The zone where they’d do the worst harm to the herd of dumb traders. Wouldn’t it be logical that they tried to stretch the price to that zone to collect the best available prices, then turn back and move the price to the opposite side?

Under that assumption, the next day or week, another technical analyst would see the price extension and figure out where the stop-loss should be. It will reason the optimal place to be just below that zone. However, the fact is that there is an action-reaction phenomenon in the markets. The actions of the market participants change history. The market is an experiment, on which the scientist influences the result with his acts. If he were to trade the previous day, he might have decided the same way as did those who were that day in the market, and, so, would be wiped as the others.

So, how should we proceed?

The strategy should have clear rules of entry, stop-loss, and profit-taking

Traders should back-test the strategy and optimize some parameters. Then they should forward test it in a demo account or using one micro-lot.

After a list of 30 trades, the trader should have a minimum of data samples to approximate percent winners and reward to risk ratio: The two most critical parameters of any strategy. We do not talk about drawdown here, because drawdown is a dependent variable: it can be computed knowing the percent losers and changes with position size.

When deciding about stop-loss placement, Do not use pivot levels. These are already known to the sharks of the market, and will inevitably fail.  The best stop-loss placement is using the Maximum Adverse Excursion technique, a concept by John Sweeney.

Of course, to be able to use MAE, you should record your trades accurately, recording also the MAE information.

 

Categories
Forex Elliott Wave

Fundamentals of Elliott Wave Theory – Part 2

Waves develop in two classes, impulses and corrections. Impulsive movements are characterized by having a five-wave structure. Corrective waves, on the other hand, growth creating a three-wave structure. In this article, we will introduce the concept of motive waves, corrective waves, and cycles.

Motive waves

Motive waves receive this denomination because they create movement, or “impulse” to the price action, as it follows a trend. In the following figure examining the case of a bull market, waves 1, 3 and 5, are impulsive waves. This structure is analogous for a bear market.


Corrective waves

Corrective waves, as the name implies, are characterized by pushing back the price of the dominant trend. From the previous figure, waves 2 and 4 correspond to the corrective waves.

Cycle concept

As we have seen previously, a wave is composed of five waves, and a complete cycle is composed of eight waves, an impulsive part and a corrective part. For convenience in the identification process, we will label motive waves with numbers and corrective waves with letters. Later we will see the usefulness of wave identification to understand the stage in which the market under study is.


When an eight-wave cycle is completed, a new cycle of the same degree begins, as shown in the following figure. This formation generates a five waves sequence of a higher degree. At the moment, you should not be worried about the identification symbols. Elliott defined the labels and should be understood as a tool to help in the study, and not an objective in itself.


Recognizing this structure is essential to understanding the nature of the wave theory.

Categories
Forex Elliott Wave

Fundamentals of Elliott Wave Theory – Part 1

Ralph Nelson Elliott developed the Wave Theory in the 1930s. Elliott discovered that prices followed a sequence of repetitive patterns in form, but not in time and amplitude. He called these patterns “waves,” he also recognized that each movement was composed of five waves.

The Elliott Wave Theory is not a trading system nor a forecasting tool, but, rather, a description of market behavior. In this sense, Elliott waves enable us to understand the current price position and the scenarios that can be anticipated from it. In our first Elliott’s wave theory article, we will review its history and its underlying principles.

Nature and waves

In 1934, R.N. Elliott published his work “The Wave Principle.” It is this treatise, as he calls it, explains the basics of wave theory. In this work, Elliott explains that everything in nature is governed by a law which its causes could be unknown. However, when the law is known, forecasts can be made, regardless of whether or not the reasons that originated it are known. Both nature and universe, some phenomena are repetitive and can be predicted; for example, the lunar phases, the year seasons, the tides, and so on.

Human interactions are part of nature and are no exception in wave theory. The most common socio-economic activity is realized in the financial markets. Elliott remembers us that “there is no socio-economic activity in which so many resources have been allocated and with neither successful results as financial markets.” In this context, wave theory allows us to have an understanding of the current state of financial markets and their possible next path.

The five-wave structure

According to R.N. Elliott, the financial markets as a socio-economic activity hold a specific structure composed of five waves. These waves move in the direction of the dominant trend and are identified as wave 1, 3, and 5. Similarly, as the market is moving forward, an opposite movement is identified as wave 2 and wave 4. These movements happen against the primary trend.

Elliott, facing the question of why five waves and not another number, in his treatise explains that “it is a secret of nature” and it is not his goal to determine the origin or explanation of the five movements.

Elliott observed that wave 2 never moves beyond the beginning of wave 1, wave 3 is never the shortest, and wave 4 never enters the territory of wave 1. The following figure shows the basic structure of a five waves sequence.


Categories
Forex Harmonic

Harmonic price levels based on Music Theory

One of the most mind-boggling books regarding technical analysis and W.D. Gann was Tony Plummer’s book, The Law of Vibration – The Revelation of William D. Gann. It is easily one of the most enthralling and contemporary works for any Gannyst out there. Without going into extreme detail of the book, I want to focus on one part of this book that I found particularly interesting: Harmonics in Music. Back in the day, yours truly was a double-major in both music education and music performance (I was a Euphonium player – also the Trombone and Tuba). Anyway – on to the awesomeness of this article.

I want to stress that in the book, the author does not tell you how to apply the information into your trading or how to apply it on a chart. I think that is an homage of sorts to Gann himself (Gann also was very ‘cryptic’ about how to use his methods).

But I’m pretty sure I figured it out.

The Law of Three and Middle C

The opening of Chapter 6 in Plummer’s book begins with a quote from P. D. Ouspensky: “A study of the seven-tone musical scale gives a very good foundation for understanding the cosmic of octaves.” Plummer writes that Western music is based on a series of notes centered around the Middle C (The middle note of C on a keyboard, labeled C4). The Middle-C vibrates at a rate of 256 cycles per second. And one octave above that is the next C, C5. The rate of vibration of C5 is double that of Middle-C: 512.

In music, a scale is made up of 8 notes. In Music Theory and Aural Theory, or if you’ve watched The Sound of Music, you’re probably familiar with the song Do Re Mi. Do Re Mi is called solfege, or tonic solfa. The words: Do, Re, Mi, Fa, So, La, Ti, and Do represent the eight notes in a scale. And each one of those notes has its own rate of vibration. Here’s the table:

musicalharmonics

I’ve spent considerable time studying not only Gann’s own work, but also the work of Michael Jenkins, Constance Brown, George Bayer, James Hyerczyk, and others. One of the things I’ve learned from these Gann experts’ work was Gann’s use of Harmonics, which seems to be a broad term for calculating important price levels. There are various methods used that generally come to the same value area. Some of those methods are Gann’s Square of 9, Square of 24, natural squared numbers and others. Probably one of the most popular methods from the 1990s was a system called Murray Math. Murray simplified the application of harmonic ranges in both time and price. It’s useful, but not as accurate.

I’ve used a number of methods to apply Gann’s harmonics, and Plummer’s ratios have probably been the most effective. There is a piece of software called Optuma by Market Analyst. They actually have a tool that creates exactly what I figured out on my own. So it was pretty damn cool to use that software and see that I had come across a solution and application all on my own and have it confirmed by software created by people way smarter than me.

How I applied it

Using the vibrational number of 256, it’s easy to double that value and then double again. So 256, 512, 1024, 2048, etc, etc etc. These numbers, for whatever reason, appear everywhere in science and nature. Now, you can use these numbers for any type of stock, futures contract, forex pair or cryptocurrency. Here are some examples. Notice how much these zones act as support and resistance and how often prices trade within these zones.

Chart Examples

AUDUSD

AUDUSD

This AUDUSD chart is from using Optuma by Market Analyst. The harmonic values are starting at the octave of 65536 to 131072. I converted the 131072 to 1.31072. 65536 was converted to 0.65536.

XAUUSD (Gold)

XAUUSD

EURUSD

EURUSD

BTCUSD

BTCUSD

ETHUSD

ETHUSD

LTCUSD

LTCUSD

The rest of the images above are from Tradingview. I created a simple indicator that will plot out the lines depending on division or multiple of 256 that you want to use. You simply add the number you wish to, and it will plot out a full Octave from Do to Do.

Categories
Forex Elliott Wave Forex Market Analysis

Divergence between Gasoline and Crude Oil

A divergence between Gasoline and Crude Oil

Gasoline and Crude Oil are two energy commodities highly correlated. In the current session, Gasoline is moving bearish, but Crude Oil is moving bullish. We expect that Crude Oil would make a new lower high and continue inside the area between $70.61 to $73.06 to, then, develop a new bearish leg, with a target the zone between $63.47 to $60.28. Invalidation level is $75.24.



Forex Academy

Categories
Forex Basics

Forex And The Importance Of Education

The Importance of Forex Trading Education

This is a growing market with an average daily turnover of US$5.3 trillion! That’s around £4 trillion. So who is taking advantage of this incredibly liquid market; the biggest traded business on the planet? Large companies and institutions including banks, HNW individuals, fund managers, firms that have overseas business activities all need to hedge their currency exposure, sovereign funds and central banks, and everyday people in their bedrooms are now trading Forex, thanks to the proliferation of the internet!

However, it is well known that 95% of new Forex traders will lose their money within 6 months. In fact, according to Reuters the China Banking Regulatory Commission banned banks from offering retail Forex on margin to their clients back in 2008. The writing was on the wall!

In 2014, the French regulator conducted a survey which concluded that the average % of losing clients was 89%, with clients who squandered €11K, on average, between 2009 and 2012. Over that 4 year period, 13,224 clients lost €175M.  The estimated number of losing retail traders across Europe during this period was €1 million.

In 2015 the US National Futures Association announced a reduction on limits that US brokers could offer their retail clients to a maximum of 50:1 in 10 listed major foreign currencies, and 20:1 on some others. Similarly, The European Securities and Markets Authority (ESMA) recently confirmed stricter changes to the way brokers are able to offer retail Forex clients leveraged trading. I expect we shall see a lot more of this type of intervention in years to come.

Yet none of this really addresses the real issue, which is why people, especially new traders, lose money trading Forex? It simply comes down to education. I wouldn’t strip a car engine down without first going to mechanic classes, or operate on a human without going to medical school, or fly a plane without lessons. And yet thousands of individuals think they can open an FX account and consistently make money. Sure, they might get lucky initially and think they are on a roll, before over leveraging themselves and wiping out their accounts.

In my opinion, if governments want to intervene, they need to address education. Of course, reducing leverage and insisting on larger margin requirement will slow down the rot. But it won’t stop it, whereas insisting that traders are qualified would have a much more positive impact in the long run. Just like any profession, people need to be fully educated and a basic level of Forex trading education should be the first thing undertaken before newbies are let loose ‘trading’, a term I use loosely, under the circumstances, they are gamblers, and we all know what happens to most gamblers!

So to all you people who are thinking about becoming a currency trader, invest in a professionally put together A-Z education course and at least give yourself a chance in this volatile arena, which is fraught with danger and will think nothing of absorbing your hard earned cash into its coffers!

Here at Forex.Academy we recognise this issue and feel passionately about it. What’s more, we offer all the educational tools you will need to trade effectively!

Categories
Forex Psychology

The Importance of Mastering Trading Psychology

Introduction


As traders, we tend to learn the technical stuff and focus our attention on improving our technical analysis. Which is ok, but often, learning trading psychology is neglected. And at the end of the day, it is you who’s in charge of decision making, and you are the one entering your orders.

In my mind, mastering trading psychology is more important than learning chart patterns, complex wave theories, Fibonacci levels, etc. Even a layman can spot a trend, but then the decision has to be executed – do you buy or sell?

Our emotions govern decision making as they impact our rational thinking. You can do an exceptional technical analysis, but you may still lose money. You can do a poor technical analysis and still earn money.

The question imposes: why are traders who are knowledgeable about technical analysis still lose money?

The answer lies in the difference between real life and the markets and the ways we are conditioned to behave in real life vs. the mindset that is needed to be profitable in the markets.


Real-life vs. the markets


Cutting your loses 

In real life, people are not accustomed to losing. If your finger gets trapped inside the elevator hole, you would probably turn on the alarm, stop the entire building from using the elevator and call the fire brigade to help save your finger, right? You wouldn’t just cut it off and continue with your day because, in real life, fingers don’t grow back.

In the market, if your finger gets caught and you try to save it with your other hand, the other hand will get trapped as well, and you will lose both hands. So the solution would be to just cut your finger, as in the markets, fingers do grow back!

As you may have figured, the Finger analogy is when your position is starting to go against you. If you sit there and wait for it to bounce back, hoping you wouldn’t lose your money, you will lose more money. And the only solution is to cut your losses early on and have confidence that you will be in profit next time when you will be compensated for your losses and be in profit overall.

So this response has to be learned, as we have been conditioned to behave and think differently.

You shouldn’t be right, you should be in profit. 

Traders often feed their ego with their good analysis. Your ego tends to think that you should always be right and that being wrong is a very, very bad thing. That can sometimes create a bias rationale. For example, you have done tons and tons of research, and your fundamental and technical analysis; so, you have concluded that it’s a buy. You put your buy order.

After a day or two, you are in profit, good. But on the third day, the trade is starting to go against you. You keep saying to your self “it’s only a correction” I have done my research, and this can’t go down further. But it does. Even though you see you are losing money, you tend to keep your position opened. Why is that? Your brain creates a bias. It can’t even see an alternative bearish scenario, so you become loyal to yourself, as your ego also keep you congruent.

In real life, loyalty and congruency are great. If we didn’t have those traits, we would all be unreliable and spinless beings, and society as we know it would fall apart. But in the markets, you have to be able to adapt.

This is not about being right, you are not a fortune teller, you are a trader.

Numbing your emotions and the difference between knowledge and behavior 

Expanding your knowledge about financial markets and the ways of analyzing them is great, but you have to internalize it into your behavior patterns. For example, I smoke cigarettes, and I know that they are harmful. The knowledge about the harmful effects of smoking is not overpowering my internal emotions of the desire to smoke.

Another example is exercise. We all know that we should eat healthy food and exercise. But the fast-food tastes good, and our emotions are governing our decision making, and we end eating that burger. Our laziness chains us to our beds, and we hit that snooze button and sleep an extra hour, leaving us without any time to run in the morning.

That is why we, as traders, need to suppress our emotions of greed and fear that can impact our decision making.

Patience

In the modern-day world, we are bombarded with information through social media. If something doesn’t appear interesting, we are hesitant to watch it to the end. That conditions us to follow our attention and not to be in charge of it. And that’s ok in real life, as our attention is limited, and with so much out there, it would be impossible to keep track of everything.

But in the market, you have to leave that urge behind to know if it is a buy or sell, and get it over with. Trading is an activity.


Conclusion


The market environment is diametrically different from the real-life environment – it’s totally unpredictable, and we need a totally different mindset to overcome the challenges of surviving in that environment.

In real life, you would go to a train station ask a clerk where the next train is going, and if you like the direction, you would sit on that train, take a nap, and when you wake up, you would arrive at your desired destination. It is predictable, and we are accustomed to that predictability, and our behavior has been built around that predictability.

You would check your indicators in markets, make your projections, ask people what they think, where the train is heading, and still won’t have a definitive answer.

That’s why mastering trading psychology is so important. It is the way to help you find the right mindset to manage the unpredictable nature of the markets, and here at Forex Academy, we are here to help with our services.

Categories
Forex Education Forex Educational Library

Organisation of the European Central Bank

Globalisation has led to an integration of the various aspects of people’s lives from consumer habits to cultural aspects. The economy has not been indifferent to this phenomenon and the relations between most countries have been internationalised so that there is more and more dependency between them and for that reason greater co-operation between governments and between the central banks of each country.

There are more and more processes of regional integration, which has led geographically close countries to eliminate barriers to trade between each other and generate an economic bloc that is more competitive with the rest of the world. But not all forms of integration are equal, there are some deeper ones that allow macroeconomic policies to be co-ordinated and create a single currency and other unions that simply reduce trade barriers between countries without going beyond a privilege in trade with certain countries.

The European Union has developed a legal and political system that promotes continental integration through common policies that cover different spheres of European society, although the origin of this union is especially economic. The form of integration was a monetary union where a single currency was created to facilitate transactions between countries, but some countries belonging to the European Union avoided giving up their control over their currency and therefore did not adopt the Euro as a transaction unit.

In order to achieve monetary union, certain requirements of fiscal homogeneity need to be met in order to synchronise their macroeconomic policies, which is why some European countries have first had to meet some public deficit targets in order to be part of the integration. Being part of a monetary union, the member countries give part of their sovereignty to the European Central Bank, in charge of issuing the common currency and fixing the monetary policy of the economic union.

The countries that make up this economic agreement have:

  • Preferences among members to boost trade within their borders.
  • Elimination of trade barriers for members of the agreement.
  • Common external protection.
  • Free mobility of capital, people and productive factors
  • Economic policy coordination
  • Unique economic policy

The first historic step for the consolidation of the European Central Bank occurred in 1998, where the decision was made to build an economic and monetary union with free capital mobility within Europe, a central monetary authority and a single monetary policy within the European area. But before formally taking the decision two previous events had occurred that allowed the creation of the bank.

  1. In 1990, free capital mobility is allowed among some European countries, as well as greater co-operation among central banks, which allows a convergence in the economy of several European countries.
  2. The European Monetary Institute (EMI) was established in 1994, central banks were prohibited from continuing to grant loans, monetary policy co-ordination was further increased, economic convergence followed and the establishment of central bank independence to take the necessary measures for the good performance of the economy.

Already in 1999 stronger steps were taken for the monetary and economic union, such as the introduction of the Euro, the establishment of a single monetary policy set by the European System of Central Banks (ESCB) and the conversion rates were set.

Since the 1st of January, 1999 the European Central Bank has been responsible for conducting the monetary policy for the eurozone consisting of 19 state members. To be part of this union, each country had to comply with certain economic and legal criteria. The following chart shows the main stages of the European Central Bank.

Graph 74. Stages of the European Central Bank.

 

The European Central Bank has a legal status under international law and is considered an international institution. The Euro system is composed of the European Central Bank (ECB) and the National Central Banks (NCBs) of the countries that adopted the Euro. The Euro system and the European Central Banks system will continue to co-exist as long as there are members of the economic union who have decided not to adopt the Euro. The following chart shows the member countries of the eurozone.

 

Graph 74A. Euro Area 1999-2015. Retrieved 16th February 2018, from https://www.ecb.europa.eu/euro/intro/html/map.en.html

 

Mandate

The main objective of the bank and its monetary policy is to maintain price stability. As complementary objectives, the bank must help the economies of member countries in their growth and in the dynamics of the labour market, but without these variables diverting the main objective of keeping inflation under control.

For the bank, price stability is defined as an annual increase in the Harmonised Index of Consumer Prices (HICP) for the entire eurozone below 2% and a long-term target of 2%.

 

Organisation

The European Central Bank has four major subdivisions that make all the decisions to fulfil the bank’s mandate.

  • The Executive Board
  • The Governing Council
  • The General Council
  • The Supervisory Board

 

The Executive Board

All the members of the board are appointed by the European Council. Each member is chosen for a period of eight years without the possibility of renewing. The board meets normally every Tuesday and is composed of:

  • The President
  • The Vice-President
  • Four other members

The committee is responsible for the implementation of the monetary policy defined by the governing council and the instructions given by the National Central Banks (NCBs). It is also in charge of the daily management of the bank and prepares the meetings of the governing council.

 

The Governing Council

It is the decision-making body of the bank, composed of six members of the executive committee as well as the governors of the central banks of the 19-member countries of the Euro-system. It is chaired by the president of the ECB. They meet every six weeks and publish the minutes of the meetings with all the necessary information four weeks after the meeting. In total it is composed of 25 members with the accession of Lithuania in 2015 and there is a rotation of the votes in the meetings as follows:

 

Rotation of voting rights in the Governing Council

 

 

Graph 75. Rotation of voting rights in the Governing Council in 2018. Retrieved 16th February 2018, from https://www.ecb.europa.eu/ecb/orga/decisions/govc/html/votingrights.en.html

The responsibilities are to define the monetary policy of the euro area and in particular to establish the interest rate at which commercial banks will be given resources, in addition to the supply of Euro-system reserves.

 

The General Council

It is composed of the president of the ECB, vice president of the ECB and the governors of the 28 National Central Banks (NCBs) that belong to the European Union, where 19 countries are of the euro area and 9 countries of non-euro areas. Other members who attend the meetings, but without the right to vote are the president of the Council of the European Union and members of the European Commission.

The general council carries out the tasks assumed by the European Monetary Institute (EMI) that the ECB should execute as the last phase the economic and monetary union since not all the member states adopted the Euro. Its functions are the collection of statistical information, preparation of the annual report of the ECB among others. This body will be dissolved when all the members of the economic union assume the same currency.

 

The Supervisory Board

The supervisory board meets twice a month to discuss, plan and carry out supervisory tasks of the bank’s departments. It consists of, the president appointed for a period of 5 years, vice president elected from among the members of the executive board, four representatives of the ECB and representatives of national supervisors

In conclusion, there is a certain similarity between the way monetary policy decisions are made between the European Central Bank and the US Federal Reserve since it is done through voting by the governors of the banks that make up the central bank and take turns the votes in the meetings. The difference is that the rotation of the votes of the districts that make up the Federal Reserve is annual while the votes of the banks that make up the ECB are rotated monthly as shown in the graph above.

Regarding the mandate of the central banks, there is a greater similarity between the ECB and the Bank of England since both have to maintain price stability as its main objective, and the objective of the annual growth of inflation is 2%. Although they also worry about economic growth and the unemployment rate, these objectives are secondary. While for the Federal Reserve the three variables are equally important, so by mandate they are responsible for maintaining low unemployment rates, stable economic growth with good growth rates and an inflation rate that is close to 2%.

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Forex Education Forex Educational Library

Bank of Japan

The Bank of Japan is the central bank of Japan. It is a juridical entity established by the Bank of Japan Act. It has no governmental character nor is it a private corporation. The law states that the bank’s objectives are to issue banknotes, carry out monetary control and monitor the stability of Japan’s financial system. The law also stipulates price stability as the main objective of the bank which will contribute to the development of the national economy.

The Bank of Japan started its operations on the 10th of October 1882 as a central bank under the laws of that country. The original statutes were modified in 1942 due to the war situation and after this conflict ended, the bank’s regulations were modified again. In 1949 the Policy Board was set as the governing body and responsible for making the most important decisions of the bank. The law of 1942 was completely revised in 1997 and it was stipulated that the bank’s independence and transparency were fundamental pillars of the bank.

The organisation of the bank is divided as follows:

Graph 70. Organization Chart. Retrieved 15th February 2018, from https://www.boj.or.jp/en/about/organization/chart.pdf

 

The Policy Board was established as the most important bank entity for decision making. The board examines the guidelines for monetary and currency control, establishes the basic principles to carry out the operations of the bank and supervises the fulfilment of the duties of bank officials.

It is composed of 9 people. The Governor who represents the bank and exercises general control over the affairs of the bank, two Deputy Governors who assist the governor and they control some matters of the bank, and six members of the Policy Board who serve as support for the Governor and Deputy Governors. They are also in charge of other matters of the bank.

Then there are the Bank’s Officers who are made up of the Governor, the Deputy Governors, the members of the board of directors, auditors, executive directors and counsellors. These officers are responsible for managing the operations of banks, to ensure that employees comply with the required tasks and assist in the tasks of the Policy Board.

Finally, there are the Departments, Branches, Local Offices in Japan, and Overseas Representative Offices. There are 15 departments, 32 branches and 14 local offices in Japan and 7 overseas representative offices

The bank is capitalised by 100 million Yen due to the bylaws, and 55% of the capital is subscribed by the government. The law does not grant the holders of the subscription certificates the right to participate in the management of the bank and in the event of liquidation they are only granted the right to request the distribution of the remaining assets up to the sum of the paid-in capital. Dividend payments in paid-up capital are limited to 5% or less each fiscal period.

The central objective of the monetary policy of the bank is the stability of prices. It was stipulated as an objective from 2013 that the maximum rate of annual growth of prices was 2%, this rate promotes economic growth and the well-being of the population. Price stability is important because it provides the basis for the nation’s economic activity.

In a market economy where there is a diversity of markets, individuals and companies make decisions about consuming, investing or saving according to the prices of goods and services in addition to the interest rates of the financial system. When prices fluctuate beyond what is expected, it is difficult for agents to make decisions and this may hinder the efficient allocation of resources and revenues.

The Policy Board of the bank decides on the basic stance of monetary policy in its meetings, discusses the economic and financial situation and then makes an appropriate guide for monetary policy operations. After each meeting, the bank publishes its evaluations of the economic activity and the price level, as well as the position adopted by the monetary policy in the short term.

According to the guidelines stipulated by the board, the bank controls the amount of money circulating in the economy, mainly through Money Market Operations. The central bank offers funds to financial institutions through loans that are backed by guarantees given to the central bank.

The meetings of the board of the central bank are held eight times a year and each meeting takes two days of discussions. At each meeting, the members of the board of directors discuss and decide on the guidance of future operations in the money market. Monetary policy decisions are taken by majority vote of the nine members of the Policy Board.

One aspect that has become widespread but is still important is the independence of the central bank since the decisions made by the bank have an impact on the daily life of the Japanese people. The bank and its employees conduct economic and financial system research to be well informed about the most appropriate decision on monetary policy.

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Forex Basics

Everything you should master to Detect Trends, and more!

Introduction

In chapter 1, we’ve set the foundations of market classification, what a trend is about, and the dissection of a trend in its several phases. Then we talked about its two dissimilar wave parts: an impulsive wave, followed by a corrective wave.  We dealt with support, resistance, and breakouts. Finally, we talked about channel contractions.

In this second chapter, we’ll learn the methods available in the early discovery of trends: Trendlines, moving averages, and Bollinger band channels.

Trendlines

A trendline is a line drawn touching two or more lows or highs of a bar or candlestick chart. The convention is to draw the line touching the lows if it’s an uptrend and the tops on a downtrend. Sometimes both are drawn to form a channel where the majority of prices fit.

As we see in Fig. 1 the trendline tends to draw resistance levels or supports where the price finds it difficult to cross, bouncing from there, although not always this happens. In Fig. 1 the first trendline has been crossed over by the price, and during the following bars, the slope of the downtrend diminished.  We saw, then, that the first trendline switched its role and now is acting as price support.

When the second trendline was crossed over by the price, a bottom has been created, and a new uptrend started. After a while trending up, we might note that we needed a second trend line to more accurately follow the new bottoms because the uptrend has sped up, and the first trendline is no longer able to track them.

Fig. 2 shows two channels made of trendlines, one descending and the other ascending. The trendline allows us to watch the volatility of the trend and the potential profit within the channel. The trend, as is depicted, has been drawn after it has been developing for a long lapse. Therefore, it’s drawn after the fact.  If we look at the descending channel, we observe that during the middle of the trend, the upper trendline doesn’t touch the price highs. So, this channel would look different at that stage of the chart.

I find more reliable the use of horizontal lines at support and resistance levels and breakouts/breakdowns at the end of a corrective wave. But, if we get a well-behaved trend, such as the second leg in fig 2, a channel might help us assess the channel profitability and assign better targets to our trades. If we use horizontal trendlines together with the trend channel (see Fig 2.b) it’s possible to better visualize profitable entry points and its targets, and, then, compute its reward to risk ratio.  The use of the Williams %R indicator (bottom graph) confirms entry and exit points.

Fig. 2b graph’s horizontal red lines show how resistance becomes the support in the next leg of a trend.

As a summary:

  • A trendline points at the direction of the trend and acts as a support or as a resistance, depending on the price trend direction.
  • If a second trendline is needed, we should pay attention if it shows acceleration or deceleration of the price movement.
  • If the price crosses over or crosses under the trendline, it may show a bottom or a top, and a trend change.
  • A trendline channel helps us assess the potential profitability and assign proper targets to our next trade.

Moving Averages (MA)

Note: At the end of this document, an Appendix discusses some basic statistical definitions, that may help with the formulas presented in this section, although reading it isn’t needed to understand this section.

Some centuries back, Karl Friedrich Gauss demonstrated that an average is the best estimator of random series.

Moving averages are used to smooth the price action. It acts as a low-pass filter, removing most of the fast changes in price, considered as noise. How smooth this pass filter behaves, is defined by its period. A moving average of 3 periods smoothens just three periods, while a 200-period moving average smoothens over the last 200 price values.

Usually, a Moving Average is calculated using the close of every bar, but there can be any other of the price points of a bar, or a weighted average of all price points.

Moving averages are computationally friendly. Thus, it’s easier to build a computerized algorithm using moving average crossovers than using trendlines.

Most Popular types of moving averages

Simple Moving Average(SMA):

The simple moving average is computed as the sum of all prices on the period and divided by the period.

The main issue with the SMA is its sudden change in value if a significant price movement is dropped off, especially if a short period has been chosen.

Average-modified method (AvgOff)

To avoid the drop-off problem of the SMA, the computation of an avgOff MA is made using and average-modified method:

Weighted moving average

The weighted moving average adds a different weight to every price point in the period of calculation before performing the summation. If all weights are 1, then we get the Simple Moving Average.

Since we divide by the sum of weights, they don’t need to add up to 1.

A usual form of weight distribution is such that recent prices receive more weight than former prices, so price importance is reduced as it becomes old.

w1 < w2 < w3… < wn

Weights may take any form, most popular being Triangular and exponential weighting.

To implement triangular weighting on a window of n periods, the weights increase linearly from 1 the central element (n/2), then decrease to the last element n.

Exponential weighting is an easy implementation:

EMAt = EMAt-1 + a x (pt Et-1)

Where a, the smoothing constant, is in the interval 0< a < 1

The smoothing property comes at a price:  MA’s lags price, the longer the period, the higher the lag of the average. The use of weighting factors helps reducing it. That’s the reason traders prefer exponential and weighted moving averages: Reducing the lag of the average is thought to improve the edge of entries and exits.

Fig 3 shows how the different flavors of a 30-period MA behave on a chart. We may observe that the front-weighted MA is the one with a slope very close to prices, Exponential MA is faster following price, but Triangular MA is the one with less fake price crosses, along with simple MA: The catch is: We need to test which fits better in our strategy. The experience tells that, sometimes, the simpler, the better.

Detecting the trend using a moving average is simple. We select the average period to be about half the period of the market cycle. Usually, a 30 day/bar MA is adequate for short-term swings.

One method to decide the trend direction is to consider it a bull leg if the bar close is above the moving average; and a bear leg if the close is below the average.

Another method is to watch the slope of the moving average as if it were a trendline. If it bends up, then it’s a bull trend, and if it turns down, it’s a bear trend.

A third method is to use two moving averages:   Fast-Slow (Fast -> smaller period).

In this case, there are two variations:

  1. Moving average crossovers
  2. All the averages are pointing in the same direction.

As with the case of a single MA, a price retracement that touches the slower average is an opportunity to add to the position.

For example, using a 30-10 MA crossover: If the fast MA crosses over the slow MA, we consider it bullish; if it crosses under, bearish.

Using the method of both MA’s pointing in the same direction, we avoid false signals when the fast MA crosses the slow one, but the slow MA keeps pointing up.

When using MA crossovers, we are forbidden to take short trades if the fast MA is above the slow MA, but we’re allowed to add to the position at price pullbacks. Likewise, we’re not allowed to trade on the buy side if the fast MA is below the slow MA.

Using smaller periods, for instance, 5-10 MA, it’s possible to enter and exit the impulsive legs of a trend.  Then, the 10-30MA crossovers are used to allow just one type of trade, depending on the trend direction, and the 5-10 MA crossover is actually used as signal entry and exit (if we don’t use targets). In bull trends, for example, we may enter with the 5MA crossing over the 10MA, and we exit when it crosses under.

Bollinger Band Channel

We already touched channels that were made of two trendlines. There is another computationally friendly channel type that allows early trend detection and trading.

One of my favorite channel types is using Bollinger Bands as a framework to guide me.

A Bollinger Band is a volatility channel and was developed by John Bollinger, which popularized the 20-period, 2 standard deviations (SD) band.

This standard Bollinger band has a centerline that is a simple moving average of the 20-period MA. Then an upper band is drawn that is 2 standard deviations from the mean and a lower band that’s 2 standard deviations below it.

I tend to use two or three 30-period Bollinger bands. The first band is one SD wide, and the second one is two SD apart from the mean. A third band using 3 standard deviations might be, also, useful.

Fig 6 shows a very contracted chart with 3 Bollinger bands to show how it looks and distinguishing periods of low volatility.

During bull trends, the price moves above the mean of the Bollinger band.  During bear markets, the price is below the average line of the bands.

On impulsive legs of a trend, the price goes above 1-SD (or below on downtrends), and it continues moving until it crosses the 2-SD line, sometimes it even crosses the third 3-SD line. Price beyond 2 SDs is a clear sign of overbought or oversold. On corrective legs, the price goes back to the mean. During those phases volatility contracts, and is an excellent place to enter at breakouts or breakdowns of the trading range.

Below Fig. 7 shows an amplified segment of Fig 6, with volatility contractions circled. We may observe, also, how price moves to the mean, after crossing the 2 and 3 std lines.

 

Grading your performance

According to Dr. Alexander Elder, the market is testing us every day. Only most traders don’t bother looking at their grades.

Channels help us grade the quality of our trades. To do it, you may use two trendlines or some other measure of the channel. If you don’t see one, expand the view of the chart.

When entering a trade, we should measure the height of the channel from the bottom to its top.  Let’s say it’s 100 pips.  Suppose you buy at ¾ of the upper bound and sell 10 pips later. If you take 10 pips out of 100 pips, your trade quality is 10/100 or 1/10. How does this qualify?

According to Elder’s classification, any trade that takes 30% or more of a channel is credited with an A. If you make between 20 and 30%, your grade will be B. Between 10 and 20% you’re given a C and a D if you make less than 10%.  So, in this case, your grade is C.

Good traders record their performance. Dr. Elder recommends adding a column for the height of the channel and another column for the percentage your trade took out of the channel.

Monitor your trades to see if your performance improves or deteriorated.  Check if it’s steady or erratic.  The information, together with the autopsy of your past trades, helps you spot where are your failures: Entries too late? Are you exiting too soon? Too much time on a losing or an underperforming trade?  A trade against the prevailing trend?

 

The next chapter will be dedicated to chart patterns.


 

Appendix: Statistics Overview

Statistics is a branch of mathematics that gives us information about a data set. Usually, the data set cannot be described by an analytical equation because they come from unpredictable or random events. As traders, we need basic knowledge, at least, of statistics for our job.

We can express statistical data numerically and graphically. Abraham de Moivre, back in the XVII century, observed that as the number of events (coin flips) increased, the shape of the binomial distribution approached a very smooth curve. De Moivre thought that if he could find the mathematical formula for this curve, he could solve problems such as the probability of 60 or more heads out of 100 coin flips. This he did, and the curve is called Normal distribution.

This distribution plays a significant role because of the fact that many natural events follow normal distribution shapes.  One of the first applications of this distribution was the error analysis of measurements made in astronomical observations, errors due to imperfect measuring instruments.

The same distribution was also discovered by Laplace in 1778 when he derived the central limit theorem. Laplace showed the central limit theorem holds even when the distribution is not normal and that the larger the sample, the closer its mean would be to the normal distribution.

It was Kark Friedrich Gauss, who derived the actual mathematical formula for the normal distribution. Therefore, now, Normal distribution is also named as Gaussian distribution.

Although prices don’t follow a normal distribution, it’s is used in finance to extract information from prices and trading statistics.

There are two main measures we use routinely: The center of our observations and the variability of the points in our data set from that mean.

There’s one main way to compute the center of a set: the mean. But it’s handy to know also the median if the distribution isn’t symmetrical.

Mean: It’s the average of a set of data. It’s computed adding all the elements of a set and divide by the number of elements:

Mean = Sum(p1-Pn)/n

Median: The median is the value located in the middle of a set after the set has been placed in ascending order. If the set has a symmetrical distribution, the median and the mean are the same or very close to it.

The variability of a data set may be calculated using different methods. Two main ways are used in financial markets:

Range: The easiest way to measure the variability. The range is the difference between the highest and lowest data of a set. On financial data, usually, a variant of the range is calculated: Average true range, which gives the average range over a time interval of the movement of prices.

Sample Variance(Var): Variance is a measure of the mean distance of the data points around its mean. It’s computed by first subtracting the average from all points: (xi-mean) and squaring this value. Then added together and dividing by n-1.

Var = 𝝈2 =∑ (x-mean)2 / (n-1),

whereis the symbol for the sum of all members of the set

By squaring (xi-mean), it takes out the negative sign from points smaller than the mean, so all errors add-up. The division by n-1 instead of n helps us not to be too much optimistic about the error. This measure increments the error measure on small samples, but as the samples increase, its result is closer and closer to a division by n.

If we take the square root of the variance, we obtain the standard deviation (𝝈 – sigma).

 Volatility: Volatility over a time period of a price series is computed by taking the annualized standard deviation of the logarithm of price returns multiplied by the square root of time expressed in days.

𝝈T = 𝝈annually √T

 


References:

New Systems and Methods 5th edition, Perry Kaufman

Trading with the Odds, Cynthia Kase

Come into my Trading Room, Alexander Elder

History of the Gaussian distribution http://onlinestatbook.com/2/normal_distribution/history_normal.html

https://en.wikipedia.org/wiki/Volatility_(finance)

Further readings:

Profitable Trading – Chapter 1: Market Anatomy

Profitable Trading Chapter III: Chart patterns

Profitable Trading – Computerised Studies I: DMI and ADX

Profitable Trading – Computerized Studies II: MACD

https://www.forex.academy/profitable-trading-computerized-studies-iii-psar/

Profitable Trading (VII) – Computerized Studies: Bands & Envelopes

Profitable Trading VIII – Computerized Studies V: Oscillators

Categories
Forex Education Forex Educational Library

Long run Macroeconomics

Abstract

Long term is what really matters for economists. It is not enough a decade of continuous growth if an economy does not have adequate policies to perpetuate that growth. So, the models in general in macroeconomics are about the long term. As mentioned in other articles, the economy fluctuates permanently along a trend and it is normal to present crisis in certain periods of time. But to ensure production growth constantly over time, government policies must focus on variables such as savings rate, capital accumulation, human capital development among others that offer the ability to maintain stable growth.

In the long term of the economy, the interannual fluctuations of economic activity predominate. When recessions happen, causes consumers to be pessimistic and when the economy is expanding, consumers are optimistic and their behaviors demonstrate. But if you look to the past in long periods of time the panorama changes, and fluctuations are not important but the long-term growth is. What matters, in the long run, is the historical aggregate production, so the objective of this branch of macroeconomics is to determine which factors affect long-term growth, why some countries grow more than others and why there are more inequalities between countries. In the following graph, you can see the growth of some countries.

GDP PER CAPITA

Graph 1 GDP PER CAPITA. Data taken from the World Bank.

The reason why growth is important is that this determines the standard of living and determines whether it has improved this in time. Because of this, what matters to macroeconomics is not only aggregate production but production per person as this approximates each person’s standard of living. Economists do not ignore the fact of inequality, but studies and models try to approach reality so it is necessary to have these variables that even though they are not entirely true, they approximate to reality. At this point, there are several variables that try to measure the quality of life of people as their consumption, necessities unmet, among others, which measure the overall well-being

When you compare production per person you should adjust by purchasing power parity, in other words, the prices are adjusted in real terms to be able to compare a basket of goods that can be bought in each country, otherwise, these indicators would be affected by exchange rates. One of the great conclusions that can be seen after seeing the growth of different countries is that in general welfare in all countries has increased and in some countries, growths have converged at similar rates, but there are others in which the Growth seems to have stagnated as in Africa and some countries in South America

To analyze growth in countries, economists have used long-term models, initiated by Robert Solow at the beginning of 1950. The models consider aggregate production and try to have variables that affect production such as capital and workers in an economy. The way in which these two factors are related to the models is affected by technology, as an economy with a higher technology will be more efficient with the factors it has and thus will reach greater aggregate production. With such simplified models, graphics are very similar to reality, and it is also concluded that growth rates stop increasing in certain periods of time and by the characteristic of declining yields. What indicates declining yields of the factors is that the larger the accumulation of these factors, they cease to be so productive because the economy is saturated with these and are no longer as necessary as in the beginning.

With these concepts clear it is valid to ask yourself the question why an economy grows and which factors promote the growth. With long-term macroeconomic models, it is concluded that increases in worker output are due to increases in capital per worker, technological improvements or more skilled workers. The education is a very interesting explanation because it explains the great growth after the Second World War as technological innovations made production more efficient in all countries and the knowledge of people also had an expansion during this period. In conclusion, what determines long-term production is the relationship between production and capital as the amount of capital determines production. In graph 2, the gross capital formation is a variable of physical capital.

Gross capital formation

Graph 2 Gross capital formation. Data taken from the World Bank

Another important aspect of the long-term growth of economies is the saving rate of each economy. It has been seen in data that the most saving economies grow more in the long run and an example of this are the Asian economies that have high savings rates and thus grow more than the average of countries. Similarly, technological progress helps to grow constantly more than in the past. But here arises another concern, what determines the rate of technological progress? The answer is the projects that are carried out in an economy and the way the economy is organized, its rules and the institutions.

Governments can influence the saving rate in various ways. In the first place, they can change public savings, in other words, to have a surplus in the government budget. Moreover, governments can use taxes to influence private savings, for example, they can grant tax privileges to people who save to make more beneficial the saving. But at this point arises a problem and is that consumption suffers when there are higher rates of savings and the desire of an economy that grows is that people consume more so there should be a limit on savings rates because an economy with excessively high rates is also not ideal for economists. But if you take an economy with zero savings to invest in capital, the economy will have zero capital and consumption will also have the same value, so it is better than the saving rate is positive but not excessive as consumption will also be null and that is not the ideal of the economy. In graph 3, a gross saving rate can be observed in which the most developed countries are the ones with the highest savings rates.

Gross savings

Graph 3 Gross savings. Data taken from the World Bank

There is empirical evidence that most countries are below the optimum savings level and are therefore below their optimal capital level and their consumption is not the maximum they could get. But the savings rates that are considered in these initial models are only used to acquire physical capital, but as mentioned previously, economies have another capital that is also very important which is human capital. An economy that has many skilled workers will be much more productive than another that does not have the same types of workers. Human capital has increased as much as physical capital in the last two centuries. It is known that at the beginning of the first Industrial Revolution, 30% of the workers knew how to read and now that percentage is located at 95%. Graph 4 shows the difference in the rates of children enrolled in tertiary education.

Gross enrolment ratio

Graph 4 Gross enrolment ratio. Data taken from the World Bank

After having introduced the distinction within the capital of an economy it can be concluded that the level of production of an economy depends on physical capital, human capital, and technology present in an economy. An increase in the physical capital per worker and an increase in the average level of qualifications per worker would lead to an increase in production per worker. A problem is that the population today is so educated and the yields of this are also decreasing the most children now know how to read, write and have the possibility of going to college so it is no longer so representative the education as it was in the last century. Savings also influence human capital as an increase in savings in this capital increases production per worker.

Considering another important variable in long-term growth the technological progress will be exposed. Technological progress helps economic growth at least in the short term because it makes the economy more efficient and allows new objects to be produced at higher speeds. But it is not a permanent effect because after the economy is accustomed to these innovations, its effect on growth disappears. Technological progress reduces the number of workers needed to achieve a certain amount of production, in other words, it allows to produce more without having to increase the factors already exposed.

Technological progress has made great strides throughout history from finding sources of energy to the understanding of the human body. In modern economies, most of the technological progress comes from investment in research and development, which is commonly denoted (R&D). According to some estimates, countries allocate between 3% and 5% of GDP and modern companies allocate large resources to this in order to be at the forefront of the market. For a company to have incentives to invest in research and development there must be clear rules such as proprietary rights and patents that guarantee companies to receive returns on investment in R&D. In Figure 5, the difference in research between countries can be seen.

Researchers in R&D

Graph 5 Researchers in R&D. Data taken from the World Bank.

There is data showing that the recorded growth from 1950 to the present has been generated by the technological process rather than the accumulation of physical capital, but without the latter being negligible for economic growth. Throughout history it has been seen that the poorest countries have less physical capital initially but then converge their growth rates with the most developed because they implement the technological progress of the most advanced countries, in other words, they take advantage of the progress of developed countries and as the technological levels converge, the production per worker is also converging. This is one of the central ideas about technological progress, as the most advanced countries are on the technological frontier and must innovate more, while lagging countries can mimic the technology of the advanced countries and close the gap between them without having to innovate. While this occurs in some countries, not all are able to do so due to inefficient policies and institutions.

 

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