Posts Tagged ‘trading’

Autocorrelation: What It Is, How It Works, Tests

Written by admin. Posted in A, Financial Terms Dictionary

Autocorrelation: What It Is, How It Works, Tests

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What Is Autocorrelation?

Autocorrelation is a mathematical representation of the degree of similarity between a given time series and a lagged version of itself over successive time intervals. It’s conceptually similar to the correlation between two different time series, but autocorrelation uses the same time series twice: once in its original form and once lagged one or more time periods. 

For example, if it’s rainy today, the data suggests that it’s more likely to rain tomorrow than if it’s clear today. When it comes to investing, a stock might have a strong positive autocorrelation of returns, suggesting that if it’s “up” today, it’s more likely to be up tomorrow, too.

Naturally, autocorrelation can be a useful tool for traders to utilize; particularly for technical analysts.

Key Takeaways

  • Autocorrelation represents the degree of similarity between a given time series and a lagged version of itself over successive time intervals.
  • Autocorrelation measures the relationship between a variable’s current value and its past values.
  • An autocorrelation of +1 represents a perfect positive correlation, while an autocorrelation of -1 represents a perfect negative correlation.
  • Technical analysts can use autocorrelation to measure how much influence past prices for a security have on its future price.

Understanding Autocorrelation

Autocorrelation can also be referred to as lagged correlation or serial correlation, as it measures the relationship between a variable’s current value and its past values.

As a very simple example, take a look at the five percentage values in the chart below. We are comparing them to the column on the right, which contains the same set of values, just moved up one row.

 Day  % Gain or Loss Next Day’s % Gain or Loss
 Monday  10%  5%
 Tuesday  5%  -2%
 Wednesday  -2%  -8%
 Thursday  -8%  -5%
 Friday  -5%  

When calculating autocorrelation, the result can range from -1 to +1.

An autocorrelation of +1 represents a perfect positive correlation (an increase seen in one time series leads to a proportionate increase in the other time series).

On the other hand, an autocorrelation of -1 represents a perfect negative correlation (an increase seen in one time series results in a proportionate decrease in the other time series).

Autocorrelation measures linear relationships. Even if the autocorrelation is minuscule, there can still be a nonlinear relationship between a time series and a lagged version of itself.

Autocorrelation Tests

The most common method of test autocorrelation is the Durbin-Watson test. Without getting too technical, the Durbin-Watson is a statistic that detects autocorrelation from a regression analysis.

The Durbin-Watson always produces a test number range from 0 to 4. Values closer to 0 indicate a greater degree of positive correlation, values closer to 4 indicate a greater degree of negative autocorrelation, while values closer to the middle suggest less autocorrelation.

Correlation vs. Autocorrelation

Correlation measures the relationship between two variables, whereas autocorrelation measures the relationship of a variable with lagged values of itself.

So why is autocorrelation important in financial markets? Simple. Autocorrelation can be applied to thoroughly analyze historical price movements, which investors can then use to predict future price movements. Specifically, autocorrelation can be used to determine if a momentum trading strategy makes sense.

Autocorrelation in Technical Analysis

Autocorrelation can be useful for technical analysis, That’s because technical analysis is most concerned with the trends of, and relationships between, security prices using charting techniques. This is in contrast with fundamental analysis, which focuses instead on a company’s financial health or management.

Technical analysts can use autocorrelation to figure out how much of an impact past prices for a security have on its future price.

Autocorrelation can help determine if there is a momentum factor at play with a given stock. If a stock with a high positive autocorrelation posts two straight days of big gains, for example, it might be reasonable to expect the stock to rise over the next two days, as well.

Example of Autocorrelation

Let’s assume Rain is looking to determine if a stock’s returns in their portfolio exhibit autocorrelation; that is, the stock’s returns relate to its returns in previous trading sessions.

If the returns exhibit autocorrelation, Rain could characterize it as a momentum stock because past returns seem to influence future returns. Rain runs a regression with the prior trading session’s return as the independent variable and the current return as the dependent variable. They find that returns one day prior have a positive autocorrelation of 0.8.

Since 0.8 is close to +1, past returns seem to be a very good positive predictor of future returns for this particular stock.

Therefore, Rain can adjust their portfolio to take advantage of the autocorrelation, or momentum, by continuing to hold their position or accumulating more shares.

What Is the Difference Between Autocorrelation and Multicollinearity?

Autocorrelation is the degree of correlation of a variable’s values over time. Multicollinearity occurs when independent variables are correlated and one can be predicted from the other. An example of autocorrelation includes measuring the weather for a city on June 1 and the weather for the same city on June 5. Multicollinearity measures the correlation of two independent variables, such as a person’s height and weight.

Why Is Autocorrelation Problematic?

Most statistical tests assume the independence of observations. In other words, the occurrence of one tells nothing about the occurrence of the other. Autocorrelation is problematic for most statistical tests because it refers to the lack of independence between values.

What Is Autocorrelation Used for?

Autocorrelation can be used in many disciplines but is often seen in technical analysis. Technical analysts evaluate securities to identify trends and make predictions about their future performance based on those trends.

The Bottom Line

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The Ascending Triangle Pattern: What It Is, How To Trade It

Written by admin. Posted in A, Financial Terms Dictionary

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What Is an Ascending Triangle?

An ascending triangle is a chart pattern used in technical analysis. It is created by price moves that allow for a horizontal line to be drawn along the swing highs and a rising trendline to be drawn along the swing lows. The two lines form a triangle. Traders often watch for breakouts from triangle patterns. The breakout can occur to the upside or downside.

Ascending triangles are often called continuation patterns since price will typically break out in the same direction as the trend that was in place just prior to the triangle forming.

An ascending triangle is tradable in that it provides a clear entry point, profit target, and stop-loss level. It may be contrasted with a descending triangle.

Key Takeaways

  • The trendlines of a triangle need to run along at least two swing highs and two swing lows.
  • Ascending triangles are considered a continuation pattern, as the price will typically break out of the triangle in the price direction prevailing before the triangle, although this won’t always occur. A breakout in any direction is noteworthy.
  • A long trade is taken if the price breaks above the top of the pattern.
  • A short trade is taken if the price breaks below the lower trendline.
  • A stop loss is typically placed just outside the pattern on the opposite side from the breakout.
  • A profit target is calculated by taking the height of the triangle, at its thickest point, and adding or subtracting that to/from the breakout point.

What Does the Ascending Triangle Tell You?

An ascending triangle is generally considered to be a continuation pattern, meaning that the pattern is significant if it occurs within an uptrend or downtrend. Once the breakout from the triangle occurs, traders tend to aggressively buy or sell the asset depending on which direction the price broke out.

Image by Julie Bang © Investopedia 2019


Increasing volume helps to confirm the breakout, as it shows rising interest as the price moves out of the pattern.

A minimum of two swing highs and two swing lows are required to form the ascending triangle’s trendlines. But a greater number of trendline touches tends to produce more reliable trading results. Since the trendlines are converging on one another, if the price continues to move within a triangle for multiple swings, the price action becomes more coiled, likely leading to a stronger eventual breakout.

Volume tends to be stronger during trending periods than during consolidation periods. A triangle is a type of consolidation, and therefore volume tends to contract during an ascending triangle. As mentioned, traders look for volume to increase on a breakout, as this helps confirm the price is likely to keep heading in the breakout direction. If the price breaks out on low volume, that is a warning sign that the breakout lacks strength. This could mean the price will move back into the pattern. This is called a false breakout.

For trading purposes, an entry is typically taken when the price breaks out. Buy if the breakout occurs to the upside, or short/sell if a breakout occurs to the downside. A stop loss is placed just outside the opposite side of the pattern. For example, if a long trade is taken on an upside breakout, a stop loss is placed just below the lower trendline.

A profit target can be estimated based on the height of the triangle added or subtracted from the breakout price. The thickest part of the triangle is used. If the triangle is $5 high, add $5 to the upside breakout point to get the price target. If the price breaks lower, the profit target is the breakout point less $5.

Example of How to Interpret the Ascending Triangle

Investopedia / Sabrina Jiang


Here an ascending triangle forms during a downtrend, and the price continues lower following the breakout. Once the breakout occurred, the profit target was attained. The short entry or sell signal occurred when the price broke below the lower trendline. A stop loss could be placed just above the upper trendline.

Wide patterns like this present a higher risk/reward than patterns that get substantially narrower as time goes on. As a pattern narrows, the stop loss becomes smaller since the distance to the breakout point is smaller, yet the profit target is still based on the largest part of the pattern.

The Difference Between an Ascending Triangle and a Descending Triangle

These two types of triangles are both continuation patterns, except they have a different look. The descending triangle has a horizontal lower line, while the upper trendline is descending. This is the opposite of the ascending triangle, which has a rising lower trendline and a horizontal upper trendline.

Limitations of Trading the Ascending Triangle

The main problem with triangles, and chart patterns in general, is the potential for false breakouts. The price may move out of the pattern only to move back into it, or the price may even proceed to break out the other side. A pattern may need to be redrawn several times as the price edges past the trendlines but fails to generate any momentum in the breakout direction.

While ascending triangles provide a profit target, that target is just an estimate. The price may far exceed that target, or fail to reach it.

Psychology of the Ascending Triangle

Like other chart patterns, ascending triangles indicate the psychology of the market participants underlying the price action. In this case, buyers repeatedly drive the price higher until it reaches the horizontal line at the top of the ascending triangle. The horizontal line represents a level of resistance—the point where sellers step in to return the price to lower levels.

As the price drops downward from the horizontal resistance level, buyers begin to show their resolve, and the price fails to reach the recent low, with the trend turning upward once again at a higher swing low. In other words, the upward-sloping trendline that forms the lower boundary of the ascending triangle is acting as support—the level where buyers jump in and prevent the price from falling any lower.

In a well-defined ascending triangle pattern, the price bounces between the horizontal resistance line and the lower trendline. The lines of the triangle eventually converge, setting the stage for a showdown between upward and downward pressure that could determine which direction the price will move out of the pattern. As it approaches the vertex of the triangle, the price will either break out above the resistance level, suggesting additional gains ahead, or it will fall below the support level, increasing the likelihood that the price will decline.

What Is a Continuation Pattern?

When you identify a continuation pattern on a chart, it suggests that the price of the asset has a greater likelihood of emerging from the pattern in the same direction that it was moving previously. There are several continuation patterns, including the ascending triangle, that technical analysts use as signals that the existing price trend will likely continue. Other examples of continuation patterns include flags, pennants, and rectangles.

What Are Support and Resistance Levels?

Support and resistance levels represent points on a price chart where there is a likelihood of a letup or a reversal of the prevailing trend. Support occurs where a downtrend is expected to pause due to a concentration of demand, while resistance occurs where an uptrend is expected to pause due to a concentration of supply. In an ascending triangle pattern, the upward-sloping lower trendline indicates support, while the horizontal upper bound of the triangle represents resistance.

How Do You Trade the Ascending Triangle Chart Pattern?

Traders generally enter a position on a security when its price breaks above or below the boundaries of an ascending triangle. If the price jumps above the horizontal resistance level, it may be a good time to buy, while a move below the lower trendline suggests that selling or shorting the asset could be a profitable move. Traders often protect their positions by placing a stop loss outside the opposite side of the pattern. To determine a profit target, it can be useful to start at the breakout point and then add or subtract the height of the triangle at its thickest point.

The Bottom Line

An ascending triangle is a technical analysis chart pattern that occurs when the price of an asset fluctuates between a horizontal upper trendline and an upward-sloping lower trendline. Since the price has a tendency to break out in the same direction as the trend in place before the formation of the triangle, ascending triangles are often called continuation patterns. Traders often wait for the price to break above or below the pattern before entering a position. The ascending triangle pattern is particularly useful for traders because it suggests a clear entry point, profit target, and stop-loss level.

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Arbitrageur: Definition, What They Do, Examples

Written by admin. Posted in A, Financial Terms Dictionary

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What Is an Arbitrageur?

An arbitrageur is a type of investor who attempts to profit from market inefficiencies. These inefficiencies can relate to any aspect of the markets, whether it is price, dividends, or regulation. The most common form of arbitrage is price.

Arbitrageurs exploit price inefficiencies by making simultaneous trades that offset each other to capture risk-free profits. An arbitrageur would, for example, seek out price discrepancies between stocks listed on more than one exchange by buying the undervalued shares on one exchange while short selling the same number of overvalued shares on another exchange, thus capturing risk-free profits as the prices on the two exchanges converge.

In some instances, they also seek to profit by arbitraging private information into profits. For example, a takeover arbitrageur may use information about an impending takeover to buy up a company’s stock and profit from the subsequent price appreciation.

Key Takeaways

  • Arbitrageurs are investors who exploit market inefficiencies of any kind. They are necessary to ensure that inefficiencies between markets are ironed out or remain at a minimum.
  • Arbitrageurs tend to be experienced investors, and need to be detail-oriented and comfortable with risk.
  • Arbitrageurs most commonly benefit from price discrepancies between stocks or other assets listed on multiple exchanges.
  • In such a scenario, the arbitrageur might buy the issue on one exchange and short sell it on the second exchange, where the price is higher.

Understanding an Arbitrageur

Arbitrageurs are typically very experienced investors since arbitrage opportunities are difficult to find and require relatively fast trading. They also need to be detail-oriented and comfortable with risk. This is because most arbitrage plays involve a significant amount of risk. They are also bets with regards to the future direction of markets.

Arbitrageurs play an important role in the operation of capital markets, as their efforts in exploiting price inefficiencies keep prices more accurate than they otherwise would be.

Examples of Arbitrageur Plays

As a simple example of what an arbitrageur would do, consider the following.

The stock of Company X is trading at $20 on the New York Stock Exchange (NYSE) while, at the same moment, it is trading for the equivalent of $20.05 on the London Stock Exchange (LSE). A trader can buy the stock on the NYSE and immediately sell the same shares on the LSE, earning a total profit of 5 cents per share, less any trading costs. The trader exploits the arbitrage opportunity until the specialists on the NYSE run out of inventory of Company X’s stock, or until the specialists on the NYSE or LSE adjust their prices to wipe out the opportunity.

An example of an information arbitrageur was Ivan F. Boesky. He was considered a master arbitrageur of takeovers during the 1980s. For example, he minted profits by buying stocks of Gulf oil and Getty oil before their purchases by California Standard and Texaco respectively during that period. He is reported to have made between $50 million to $100 million in each transaction.

The rise of cryptocurrencies offered another opportunity for arbitrageurs. As the price of Bitcoin reached new records, several opportunities to exploit price discrepancies between multiple exchanges operating around the world presented themselves. For example, Bitcoin traded at a premium at cryptocurrency exchanges situated in South Korea as compared to the ones located in the United States. The difference in prices, also known as the Kimchi Premium, was mainly because of the high demand for crypto in these regions. Crypto traders profited by arbitraging the price difference between the two locations in real-time.

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