Thesis on "Contrarian Investment Strategies"

Thesis 73 pages (26080 words) Sources: 60

[EXCERPT] . . . .

Contrarian Investment Strategies

Over the last several decades a number of different investment strategies have evolved. All of them were designed to help investors be able to successfully time the up and down moves, that occur on the world equity markets. However, the overall results have varied dramatically as investors, traders and analysts argue about which theory is the best one to achieve this objective. At the heart of this argument, is the belief that the markets will overshoot in both directions. Where, some will claim that the markets reflect all expectations and available information in the price of the stock (commonly called the Random Walk Theory). This makes it impossible to determine if the markets will move up or down-based past market conditions. While, contrarian investors will argue that the markets are known for large amounts of volatility. This is because the markets are run by the emotions of fear and greed. During times when the economy is expanding and the averages have outperformed their historical rate of return, is when the emotions of greed will affect investor psychology. At which point, the markets will form bubbles that are created by this chasing mentality, that is affecting both the individual and professional investor. It is at this point that the market is overvalued because of these emotions from the crowd, where a major reversal is more than likely to occur at some point in time. During those times when the economy is performing poorly, is when the markets will become undervalued. This is because the emotions of fear are causing the majority of investors to become risk adverse. As a result, they sell their most liquid and volatile assets (stocks / options) first
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. Once this take place, it means that a wave of selling will drive stock prices lower. According to contrarians, these two extreme moves that are occurring in the markets allow all investor to be able to take advantage of the price irregularities that are occurring. Where, the prudent contrarian investor will short or sell stocks when the crowd is optimistic. Then, once the crowd is no longer interested in stocks, is when they are able to buy many companies at a fraction of their value. This gives them a much better return, because they were able to take advantage of these irregularities.

To determine if the contrarian investment strategy is effective requires examining how this strategy has been able to predict major market reversals. This will be accomplished by: examining the different approaches used by this investment strategy, how the use of different contrarian indicators can predict major market reversals, which contrarian tools / indicators are the most useful and analyzing the different trading strategies. Together, these elements will provide the greatest insights as to how effective the contrarian investment strategy is in determining the movements of the major stock market averages.

The Different Approaches used by the Contrarian Strategy

What is a contrarian strategy?

A contrarian investment strategy is when you are monitoring the general mood of investors to determine if market prices are over or undervalued. This is because investors / traders are affected by one of several different situations that will help contribute to the overall emotions being felt with investing to include: placing more of an emphasis on current information, panics and not being able to fully understand the financial terminology or how the various financial-based products work. Investors generally will place more importance on information that was received most recently, rather than examining the trends of the underlying stock. This means that when a company reports much better or worse earnings, there will be a sharp volatile move reflecting these emotions. Panics have the ability to feed upon themselves, where a certain amount of selling or buying will take place based on perceptions about what is going to occur. During times, when the news is negative this can cause a panic, with investors wanting to sell their stock at any price. Then, there are the programmed sells such as sell stops. This is an order to sell a stock that is determined in advance. During panics, these stops trigger even more selling, as stock prices break through key levels of support. The overall complexity of various financial products such as: swaps and derivatives trading causes even more emotionalism with investors. This is because these kinds of investment products are complicated and unknown to the average investor. When someone purchases something that they do not understand and it begins to decline, there is the possibility that investors will become worried about severe losses. Once this begins to take place, is when investors will become emotional.

At which point, the overall amounts of volatility will increase. What this shows is that the different factors can work together or separately to cause the investor to question their motivations for buying or selling a particular asset. This is when they will begin to question the decision and engage in actions to rectify the situation. When millions of investors are doing this, it means that the stock market averages will have volatile movements. At which point, the chances increase, that markets will become too expensive or to undervalued because of these emotions.

What does contrarian investing capture?

Contrarian investing captures the emotional sentiment of the investing crowd. This is important because this information is used to help make investment decisions going forward. However, in some cases these issues of sentiment that have been identified; will point to the strength or weakness of the underlying trends in the market. Where, contrarian indicators will show that the markets are overbought or oversold, yet there is enough demand for stocks from investors that the trend will continue.

What this captures, is the overall feelings from investors and traders, prior to a major reversal in the markets. This could take place over the short-term or the underlying trend could continue until the forces of supply and demand become more imbalanced.

What is the interpretation?

The interpretation of the contrarian thinking is to be able to identify changes that are taking place early in the trend. Where, contrarian thinking will help provide a general overview as to if the price of the stock / markets are over or undervalued. However, the majority of investors do not understand that when a contrarian buy or sell signal appears and that it must be correlated with other information. This is because once a buy or sell signal emerges, it could take several days or years to see the actual change in trend. An example of this occurred during the bear market of 1973 to 1974, with the Dow Jones Industrial Average, where the markets were indicating in mid-1974 that equity prices were becoming severely oversold. However, the bottom in the market averages would not occur until late 1974, as this would spark a rally in asset prices that would last until 1977.

The Use of Different Contrarian Indicators to Predict Major Market Reversals

The continuing debate that is often very heated among Wall Street analysts, traders, investors and economists is: the overall effectiveness of contrarian thinking. This is because many investors will argue that purchasing stocks that mirror the major market movements will provide more diversification and protect for your portfolio from the volatility, which often accompanies volatile stocks. As a result, they believe that the long-term market averages will provide more consistent returns than effectively trying to time the markets. An example of this can be seen with a contrarian investment strategy called vulture investing, where investors are purchasing the common stock and the debt of those companies that are on the verge of bankruptcy. The idea is that investing in these kinds of companies, there could be possible situations such as: an acquisition or merger; that would change the fortunes of the company. Once this occurs is when these investors will see a dramatic appreciation in their investments.

While this is true to a certain extent, these skeptics are ignoring the fact that contrarian thinking is not speculation. Instead, contrarian investing is when you are using the market conditions and the emotions tied to a particular stock / the markets, to determine if it is overbought or oversold. An example of this can be seen with comments from Ben Graham (who was an advocate of the valuation / contrarian approach to investing) where he said, "What do we mean by investor? We attempted a precise formulation of the difference between the two, as follows. An investment operation is one which, upon thorough analysis promises safety of principal and an adequate return. Operations not meeting these requirements are speculative. We have clung too tenaciously to this definition over the ensuing 38 years. After the great market declines of 1929 -- 1932 all common stocks were widely regarded as speculative by nature. (a leading authority at the time stated flatly that only bonds could be bought for investment). Thus, we had then to defend our definition against such charges that gave too wide a… READ MORE

Quoted Instructions for "Contrarian Investment Strategies" Assignment:

Details for the Work:

This Academic Master Thesis is a necessary condition to finish my M.Sc. in Finance. Quantitative analysis shall be used.

Plagiarism is Heavily Punished, resulting in a failure of the master degree.

The grade is going to be given mainly based on the quality of the analysis and the arguments used.

Requirements: Have knowledge about Financial Markets in general, in particular Equity Indices ( U.S and Europe ) and Option Markets (in particular, the Put Call Ratio indicator and other Investor Sentiment Indicators)

The necessary simulations and analysis shall be done in Matlab because the code has to be introduced in the defense of the thesis.

Figures and Tables have to appear to represent some findings.

Knowledge in Time Series analysis may be needed for the statistical / econometric analysis.

Data and articles: I found some data I searched in the internet about Put-Call Ratios (from the CBOE website and iseoptions website) and about the VIX.

If more data (in variety or in length) will be needed to perform a better analysis, please contact me. I will do my best to collaborate.

I have access to Datastream database in the University. I also have access to academic journals from the university library, in case the ***** does not.

Citations, Quotations and Footnotes: My supervisors are very strict in terms of the validity and quality of the sources and require citations to be present to justify.

In terms of the number, I just ask for a good quality / high-standards work. The past thesis works I have seen from my university have in average around 60-70 Academic Articles referenced, but this is only informative.

The sources have to be official and/or academic. Please avoid to cite newspapers and blogs, only if the topic is very relevant and appropriate for the argument.

Topic*****'s Name: Contrarian Investment Strategies in Equity Indices with Sentiment Indicators based in the Option Information Sets (Volume (PC Ratios) and Volatility (VIX and others), etc.)

Goal: to Study possible strategies that use Investor sentiment in the market to predict reversals in the Equity Market and/or deliver good performance.

based on the sentiment of the stock market, which potentially determines whether the market is in overbought/oversold conditions. The goal is thus to analyze on the U.S. market and in the main European Markets.

Review of the different approaches:

-Explain what a contrarian Strategy is

-What does it Capture

-What is the interpretation

- Explain the Economic Intuition to use sentiment indicators. Refer to past research on this thematic.

Why is it likely to find good results with contrarian strategies in general? and this strategy in particular?

- > Try Several Indicators of Put-Call Ratio (CBOE Equity Put-Call Ratio, CBOE Index Put-Call Ratio, CBOE Total Put-Call Ratio)

- > Try ISEE Sentiment Indicator

- > Try VIX

- > Try VXN

Here is Some Investor Sentiment indicators that I did not find data but they might be worthwhile to be talked about (this is only my opinion, it can be discarded):

- Investor Intelligent Sentiment Index

- American Association of Individual Investors (AAII) sentiment indicator

- Nova-Ursa Ratio

- Short-Interest / Total market Float

- Sentix - Behavioral Indices

An***** Different Ways to use sentiment in trading:

- as a stand-alone approach

- as a complement to fundamental investment Analysis and Investment Decision Making

Find Stylized Facts that support the argument of using Sentiment Indicators and Contrarian Strategies

(using indicators in the derivatives markets as predictors of the equity stock market)

Focus on Put/Call Ratio as an indicator:

Basic Analysis (Indicator versus the S&P)

(Exp Moving average of the Indicator versus the S&P)

Is the Exp.MA (L= 10day ) of the indicator an appropriate smoothing factor to flag short-term market movements?

If not, is there any good L that can provide that insight?

Is the Simple MA (L=20day) of the indicator a good tool for identifying persistent extremes in Put and Call activity?

Understand the relations between measures of Put-Call Ratios and Equity market indices to predict trend reversals.

How can we find a Strategy?

-Raw Data?

- MA Data?

- %Change Data? => test stationarity of the %Change Data of the indicator

Simulating Trading Strategies:

In backtesting trading strategies attention to the possible econometric issues the can occur

Calculate Profit and Loss of the strategies

When I am not invested in the index, should I be invested in T-Notes?

Have the possibility of leverage

Include Transaction costs in the study (only indicative values for a conservative analysis)

Start With a constant boundary, first.

In backtesting the trading strategies, use different types of possible thresholds:

(1) *****"Mean + k * Std.Dev.*****" and *****"Mean - k * Std.Dev.*****" (from an estimation sample) for the upper and lower boundary

(2) *****"Top Decile and Bottom Decile*****"

Is the prediction Good?

An***** whether we need a time-varying boundary

Find out at which frequency, if there is one, should the trading occur.

Should we use some econometric technique? AR(1) process? or something else more complex?

If we can prove that the indicators are leading, maybe we should.

After finding a trading Strategy that worked in a part of the sample period, analyze why did it work, at what times did it work.

When find some possible trading strategies, test on other markets (Dax, FTSE, Eurostoxx)

Notes and plots that I constructed:

code and notes written until the moment:

- function that creates a matrix of moving averages for different Lags: ma_matrix_creator.m

- function that creates a matrix of %changes for different time intervals: pc_matrix_creator.m

- function with a trading rule (using mu +/- k * sigma): EPCR.m

- function using the opposite trading rule (using mu +/- k * sigma): ISEE.m

- trading scripts with some plots

a trading strategy that simulates a combination of possibilities for HP and k and estimates the parameters in one period and trades based on the estimated parameters in the rest of the sample: Restart_V11humb.m

a trading strategy that uses a moving window to change the upper and lower boundary: Restart_V12 humb.m

a trading strategy that simulates the combination of possibilities of transformations of the Raw Data (%changes in this example) and HP and k and estimates the parameters in one period and trades on the estimated parameters for the rest of the sample:

Restart_V11silver.m

- Basic Analysis: CBOE Equity Put Call Ratio

- Basic Analysis: ISEE all Securities

- trade 1 - (the problem of this file is that we are using also future information to backtest present trading strategies)

- trade 2 - 2-Step Trading Strategy (having an estimation period for the inputs and apply them for the rest of the sample)

- trade 3 - Simple Strategy with a Moving Window (50 days)

Thoughts:

Understand if there is under- or over- reaction to new information

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Some Important References: I was told that these can be good Reference Papers for the topic of my master thesis:

Simon, D. and Wiggins III, R., 2001, S&P futures returns and contrary sentiment indicators, Journal of Futures Markets, Volume 21 Issue 5, Pages 447 - 462

Billingsley, ***** S., Chance, Don M. ,1988, . Journal of Portfolio Management. New York: Fall 1988. Vol. 15, Issue. 1;pg. 25

Pan, Jun and Poteshman, Allen M. (2006): The Information in Option Volume for Future Stock Prices, Review of Financial Studies , volume 19, pages 871--908, 2006.

Wang, Y., Keswani, A., and Taylor, S., 2006, The relationships between sentiment, returns and volatility, International Journal of Forecasting 22 109��*****" 123

Easley, D., M. O*****Hara, and P. Srinivas, 1998, *****˜*****˜Option Volume and Stock Prices: Evidence on Where Informed Traders Trade,***** Journal of Finance, 53, 431��*****"465.

Brown, G. and Cliff, M., 2004, Investor sentiment and the near-term stock market, Journal of Empirical Finance 11 (2004) 1��*****"27

Manaster, Stephen, and Richard J. Rendleman, 1982, Option prices as predictors of equilibrium stock prices. Journal of Finance 37, 1043-1057.

Potheshman (2006), Unusual Option Market Activity and the Terrorist Attacks of September 11, 2001,2006, Journal of Business, vol. 79, no. 4

KUMAR, A. and LEE, C. ,2006 , Retail Investor Sentiment and Return Comovements THE JOURNAL OF FINANCE VOL. LXI, NO. 5

(Less relevant, but maybe interesting to consult)

Brennan, M. and H. Cao, 1996, ***** Information, Trade, and Derivative Securities,***** Review of Financial Studies, 9, 163-208

Anthony, Joseph H., 1988, The interrelation of stock and option market trading-volume data. Journal of Finance 43, 949-961.

Stephan, Jens A., and Robert E. Whaley, 1990, Intraday price change and trading volume relations in the stock and stock option markets. Journal of Finance 45, 191-220

De Bondt, W. Schiereck, D., and Weber, M.,1999, Contrarian and Momentum Strategies in Germany, Financial Analysts Journal, November/December 1999 *****

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