Hedge Funds February 11, 2005

Total Page:16

File Type:pdf, Size:1020Kb

Hedge Funds February 11, 2005 Alternative Investment Spotlight: Hedge Funds February 11, 2005 Report Prepared by: Research Marketing Group TD Waterhouse Private Investment Advice TD Bank Tower 66 Wellington Street West, 7th Floor Toronto, ON M5K 1A2 • The purpose of this report is to provide clients an introduction to hedge funds. • We provide an overview of hedge fund strategies and their structure, and outline the benefits and drawbacks to investing in hedge funds. • The goal of this report is to communicate the diversification and risk reduction benefits available to high net worth clients by employing hedge funds in portfolio construction. • In making our case for hedge funds, we introduce our approach of maintaining two hedge fund lists — 1 for equity-oriented investors and another for more conservative clients. • Our fund selections will be reviewed and updated on a quarterly basis. Full disclosure on any securities mentioned in this report are available from your Investment Advisor. This newsletter is for distribution to Canadian clients only. Please see the final pages of this report for important disclosures. Private Investment Advice For some time, institutions have used alternative investments such as hedge funds to diversify their portfolios, help reduce risk and generate returns. While universities such as Harvard and Yale were early adopters of alternative investments, increased interest from corporate pension plans and other institutions, as well as heightened media attention, have prompted individual investors to ask themselves whether hedge funds are the answer to immunize their portfolios from the volatility of equity investing, while seeking to bolster the paltry returns currently offered by fixed income markets. While there is no doubt that many institutions are moving aggressively to add alternative investments to their existing portfolios, a lack of understanding among individuals has largely kept higher net worth investors from capitalizing on what we believe to be an attractive opportunity to help reduce portfolio risk and increase diversification by adding a non-correlated asset to a traditional portfolio of stocks and bonds. The focus of this report will be to both explain alternative investment funds (specifically, hedge funds) and present our case for their inclusion in individual high net worth client portfolios. What are Hedge Funds? The term hedge fund dates back to 1949 when a sociologist by the name of Alfred Winslow Jones, while working on a project for Fortune Magazine, devised a system of investing that involved buying securities while selling short other companies to neutralize overall exposure to the market. Mr. Jones’s goal was to purchase undervalued equities, while hedging his market exposure by selling shares in less attractive companies with similar attributes. His success was touted by Fortune Magazine, his former employer, in a 1966 article which highlighted his unique investment style and other factors that are still prominent in hedge funds today. These included his performance based compensation, the investment of nearly his entire net worth in his own fund and most importantly, his stunning outperformance of his long-only peers and the index. Comment: Long-only pertains to investors, who do not short stocks, and only hold long positons — mutual funds Today, the term hedge fund has become a homogenous term that has been used to label are long-only investments. investment pools that utilize strategies that are not eligible to be used in the strictly regulated mutual fund industry. These strategies include the use of leverage, derivatives and short selling. Comment: Leverage is calculated by While many people view the use of these investment tools as being speculative in nature, the taking the net assets invested in the fund and dividing it by the fund’s capital base. funds we highlight will focus on funds that use alternative strategies to help reduce risk in a portfolio — not add to it. Comment: Derivatives of equity and bond markets include options and futures. By buying an option or a future, one is Hedge funds have been largely unregulated and have been known to provide little in the way receiving levered exposure to the returns of transparency to investors. While a push by the Securities and Exchange Commission in the or losses of an underlying security. United States is forcing every hedge fund to register itself with the agency and follow more Comment: Short selling involves borrowing an asset in the hope that its stringent reporting rules, the lack of transparency in the area continues, as many hedge fund price will decline. In hedge funds, managers believe that disclosing their holdings and current trades will rob them of their however, short selling can be used as a competitive advantage. tool to mitigate risk on another position that is held in the portfolio. With nearly a trillion dollars in assets and an estimated 7000 funds globally, alternative investment funds are on the cusp of becoming mainstream in Canada. Hedge fund providers have answered the demand and interest in hedge funds with, literally, thousands of new products globally. While many talented investment managers have started up hedge funds in the past, there have also been a number of companies in the hedge fund space that are looking to capitalize on the current market trend. TD Waterhouse Private Investment Advice – Research Marketing Group 2 Private Investment Advice Global Hedge Fund Industry - Assets and Funds $1,000 8000 Estimate Dec 2004; $900 7000 7000 Funds, USD1 Trillion $800 6000 ) $700 5000 $600 $500 4000 $400 Estimate 3000 Assets (000,000 USD (000,000 Assets $300 2000 $200 1000 $100 $- 0 1990 1992 1994 1996 1998 2000 2002 2004 Source: Hedge Fund Research Inc. & Research Marketing Group For investors looking to invest in hedge funds, we believe a disciplined and stringent due diligence process of both the manager and the potential benefits of a strategy should precede any thoughts of investment. The Anatomy of a Hedge Fund While it is true that hedge funds differ significantly from mutual funds, investors’ familiarity with mutual funds allows us an opportunity for comparison. Factor Hedge Funds Mutual Funds Return Targets Absolute Relative Strategies Flexible (leverage, shorting) Constrained by a Benchmark Diversification Benefits Low Correlation to Market High Correlation to Benchmark Liquidity Less Liquid Daily Liquidity Regulation Less Transparent Strictly Regulated Fees Performance Based Asset Based Source: Research Marketing Group Absolute Returns The central reason that investors are contemplating investing in hedge funds is the potential Comment: Page: 2 for absolute, positive returns through all market environments. Equity mutual funds tend to be A statistic that measures the strength of highly levered to the returns of the stock market. Certain hedge fund’s strategies aim to generate the relationship between two series of data. Strong positive correlation (close to absolute returns with low correlation through the use of alternative strategies such as shorting, the +1) indicates assets whose prices move in use of derivatives for hedging purposes, and leverage. the same direction. Conversely, negative correlation indicates assets whose price move in opposite directions. Low correlation (close to 0) is optimal for diversification purposes. TD Waterhouse Private Investment Advice – Research Marketing Group 3 Private Investment Advice In the mutual fund arena, portfolio managers’ performance is typically measured against a benchmark index, such as the S&P/TSX Composite or the S&P 500. For this reason, mutual fund managers tend to make investments in companies and sectors relative to their tracking benchmark. A manager can be deemed successful, having lost money, if they lose less than their tracking benchmark. Losing only 10% when the index a fund manager is tracking has lost 20% is an example of value being added on a relative basis. Typically, value is attempted to be added as the fund manager will have a view of over, or underweighting certain companies or sectors relative to their weighting in the index. Hedge fund managers tend to pay far less attention to the benchmark weighting of companies as they are focused, and compensated on absolute returns, not their performance compared to an index. Flexibility The flexibility afforded alternative investment fund managers, shorting specifically, allows managers to diversify the source of their returns away from that of the stock market by neutralizing the systematic risk in a portfolio by offsetting market exposure with appropriate Comment: Idiosyncratic risk is the short positions. Hedge managers can employ a diverse number of strategies including unique risk of a specific security. Systematic risk is the risk inherent in the capitalizing on corporate events and arbitrage opportunities as a means of generating return. entire market. Equity long/short strategies, despite having varying levels of market exposure, use the ability to short securities as a means to immunize a portfolio from market risk. A prototypical “pairs trade” Comment: A pairs trade involves the for a long/short equity manager could be to purchase the strongest company in a sector while purchase of one security and the simultaneous sale (shorting) of another. shorting a company in the same sector with weaker fundamentals. These companies are generally in the same industry and have similar attributes. These trades are typically viewed as a To carry our example one step further, we could hypothesize that a long/short fund manager market neutral. operating in the Canadian market had a view in March 2003 that Telus would outperform BCE. Due to the fact that the two companies operate in the same environment with similar core businesses, one could argue that their individual businesses would be affected by economic and overall market forces in a similar fashion. The fund manager’s investment return, by being long one telecom company and short the other in the same proportions, would be based on the performance of the firms with respect to one another, and would be insulated, for the most part, from exogenous market factors.
Recommended publications
  • Can Pairs Trading Act Like Arbitrage to Enforce the Law of One Price?
    This thesis is presented for the degree of Doctor of Philosophy of The University of Western Australia Can pairs trading act like arbitrage to enforce the law of one price? Keith R L Godfrey BE(Hons) MFinMath December 2012 Financial Studies Business School The University of Western Australia Abstract This thesis confirms empirically that a pairs trading strategy can act to enforce a market price ratio between two closely-related securities, thereby behaving like arbitrage enforcing the law of one price. Any empirical study of arbitrage and pairs trading is difficult because security exchanges report trades anonymously. Trades in two securities cannot be identified as originating from the same trader, nor can the entry and exit trades of a strategy be matched. Much of this thesis is spent designing a methodology for detecting pairs trading through statistical techniques and testing its accuracy in situations where pairs trading can be anticipated. The approach works pleasingly despite being imprecise. It can isolate closely-related pairs in pseudo-random sets of similarly-traded pairs and locate fundamentally similar pairs among large sets formed by pairing index constituents. It can even detect pairs involved in merger arbitrage many months ahead of company mergers. The evidence then shows pairs trading in the twin depositary receipts of BHP Billiton (the world’s largest mining conglomerate with dual-listed company structure) act to push the prices apart when the difference falls below a recent measure, instead of reinforcing their trend towards equality. The detected pairs trades enforce the price difference: reducing it when it becomes too large and increasing it when too small.
    [Show full text]
  • Pairs Trading the Commodity Futures Curve
    1-0 FACULTY OF ECONOMICS AND BUSINESS ADMINISTRATION ANTTI NIKKANEN PAIRS TRADING THE COMMODITY FUTURES CURVE Master’s thesis Finance Department August 2012 1-1 UNIVERSITY OF OULU ABSTRACT OF THE MASTER'S THESIS Oulu Business School Unit Finance Author Supervisor Antti Nikkanen Hannu Kahra Title Pairs trading the commodity futures curve Subject Type of the degree Time of publication Number of pages Finance M.Sc October 2012 64 Abstract I create a pairs trade on the commodity futures curve, which captures the roll returns of commodity futures and minimizes the standard deviation of the returns. The end results is a strategy that has an annualized arithmetic return of 6,04% and an annualized standard deviation of 2,01%. Transaction costs and liquidity are also accounted for. The goal was to create and backtest a trading strategy that tries to capture the roll return component of commodity futures returns. In order to reduce the very high spot price volatility of commodity returns a market neutral systematic arbitrage was introduced through a pairs trade. The pairs trade involves taking a counter position relative to the position that is designed to capture the roll return, with as small of a negative expected return as possible. In practice capturing the roll return component means taking a long position into the largest dollar difference of a backwarded futures curve. And the pairs trade component is then a short position into the same curve, but with the smallest dollar difference. If the commodity futures curve was in contango, the procedure was reverts. It can be concluded, that both of the targets of this research were reach; capturing the roll returns of the commodity futures and minimizing volatility through a statistical arbitrage pairs trade.
    [Show full text]
  • PAIR TRADING STRATEGY in INDIAN CAPITAL MARKET: a COINTEGRATION APPROACH Prof
    International Journal of Accounting and Financial Management Vol.1, Issue.1 (2011) 10-37 © TJPRC Pvt. Ltd., PAIR TRADING STRATEGY IN INDIAN CAPITAL MARKET: A COINTEGRATION APPROACH Prof. Anirban Ghatak, Asst. Professor, Christ University Institute of Management, Bangalore Email I.D : [email protected] Ph No: +91 80 40109816 (Office) Mob No : +91 9886555253 ABSTRACT Pairs trading methodology was designed by a team of scientists from different areas to use statistical methods to develop computer based trading platforms, where the human subjectivity had no influence whatsoever in the process of making the decision of buy or sell a particular stock. Such systems were quite successful for a period of time, but the performance wasn’t consistent after a while. The objective of this study was to analyze the univariate and multivariate versions of the classical pairs trading strategy. Such framework is carefully exposed and tested for the Indian financial market by applying the trading algorithm over the researched data. The performance of the method regarding return and risk was assessed with the execution of the trading rules to daily observations of 26 assets of the Indian financial market using a database from the period of 2008 to 2010. The research shows that the return from the pair trading strategy is much higher than the return from naïve investment. Key Words: Pairs Trading, Multivariate, Bivariate, Hedgers INTRODUCTION The market efficiency theory has been tested by different types of research. Such concept assumes, on its weak form, that the past trading information of a 10 Anirban Ghatak, stock is reflected on its value, meaning that historical trading data has no potential for predicting future behavior of asset’s prices.
    [Show full text]
  • Statistical Arbitrage: a Study in Turkish Equity Market
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Istanbul Bilgi University Library Open Access STATISTICAL ARBITRAGE: A STUDY IN TURKISH EQUITY MARKET ÖZKAN ÖZKAYNAK 103622017 ISTANBUL BILGI UNIVERSITY INSTITUTE OF SOCIAL SCIENCES MASTER OF SCIENCE IN ECONOMICS UNDER SUPERVISION OF DOÇ. DR. EGE YAZGAN 2007 STATISTICAL ARBITRAGE: A STUDY IN TURKISH EQUITY MARKET İstatistiksel Arbitraj: Türk Hisse Senedi Piyasasında Bir Çalışma ÖZKAN ÖZKAYNAK 103622017 Doç. Dr. Ege Yazgan : …………………………………….. Prof. Dr. Burak Saltoğlu : …………………………………….. Yrd. Doç. Dr. Koray Akay : …………………………………….. Tezin Onaylandığı Tarih : …………………………………….. Toplam Sayfa Sayısı : 55 Anahtar Kelimeler: Keywords: 1) İstatistiksel Arbitraj Statistical Arbitrage 2) İkili Alım-Satım Pairs Trading 3) Kantitatif Portföy Quantitative Portfolio 4) Nötr Piyasa Portföyü Market Neutral Portfolio 5) Kointegrasyon Cointegration 2 ABSTRACT Statistical Arbitrage is an attempt to profit from pricing inefficiencies that are identified through the use of mathematical models. One technique is Pairs Trading, which is a non-directional strategy that identifies two stocks with similar characteristics whose price relationship is outside of its historical range. The strategy simply buys one instrument and sells the other in hopes that relationship moves back toward normal. The idea is the price relationship between two related instruments tends to fluctuate around its average in the short term, while remaining stable over the long term. From the academic view of weak market efficiency theory, pairs trading shouldn't work since the actual price of a stock reflects its past trading data, including historical prices. This leaves us the question: Does a statistical arbitrage strategy, pairs trading, work for the Turkish stock market? The main objective of this research is to verify the performance and risks of pairs trading in the Turkish equity market.
    [Show full text]
  • The Right Trading Strategy for 2017 and Beyond
    1 THE RIGHT TRADING STRATEGY FOR 2017 AND BEYOND 2 Risk Disclosure • We Are Not Financial Advisors or a Broker/Dealer: Neither TheoTrade® nor any of its officers, employees, representaves, agents, or independent contractors are, in such capaciAes, licensed financial advisors, registered investment advisers, or registered broker-dealers. TheoTrade ® does not provide investment or financial advice or make investment recommendaons, nor is it in the business of transacAng trades, nor does it direct client commodity accounts or give commodity trading advice tailored to any parAcular client’s situaon. Nothing contained in this communicaon consAtutes a solicitaon, recommendaon, promoAon, endorsement, or offer by TheoTrade ® of any parAcular security, transacAon, or investment. • SecuriAes Used as Examples: The security used in this example is used for illustrave purposes only. TheoTrade ® is not recommending that you buy or sell this security. Past performance shown in examples may not be indicave of future performance. • Return on Investment “ROI” Examples: The security used in this example is for illustrave purposes only. The calculaon used to determine the return on investment “ROI” does not include the number of trades, commissions, or any other factors used to determine ROI. The ROI calculaon measures the profitability of investment and, as such, there are alternate methods to calculate/express it. All informaon provided are for educaonal purposes only and does not imply, express, or guarantee future returns. Past performance shown in examples may not be indicave of future performance. • InvesAng Risk: Trading securiAes can involve high risk and the loss of any funds invested. Investment informaon provided may not be appropriate for all investors and is provided without respect to individual investor financial sophisAcaon, financial situaon, invesAng Ame horizon, or risk tolerance.
    [Show full text]
  • Pair Trading Educational Course – Part 1
    Pair Trading Educational Course – Part 1 Contrary to popular belief the market has logic to it. The market is efficient most of the time, which is stocks are priced accurately according to all the known and forecast information. The truest logic running through markets is that of relative value, all assets are worth something in relation to something else. Take gold for example; when you buy gold you are going short the dollar too. Stocks, when you buy stocks you are going short cash. Stocks, bonds, commodities & currencies are all inter-related markets with different themes running through them at any given time. The price of oil directly affects the profits of oil companies, hence a correlation between oil futures and oil stocks. Generally the stock market is a forecasting barometer for how the economy will perform over the next 6-12months. That’s why stocks markets always bottom before the economy does and vice versa for topping. Consider the market a big voting machine that represents the collective forecasts of every market participant. Then within the market are different industries, they are priced for their expected growth rates too, then finally within each industry stocks are priced for their individual growth prospects. Generally speaking stocks within the same industry have similar valuations; if one stock is expected to grow a lot more than another stock you will find however it has a higher valuation, a higher P/E. The stock market as a whole is affected by interest rates set by central banks, thats why they respond dramatically to changes in the expected interest rates.
    [Show full text]
  • Pairs Trading
    Pairs Trading Evaluation of profitability and risks on the Swedish stock market Master Thesis in Finance Marc Schurer Lund University, Sweden Pavel Lisev Lund University, Sweden Supervisor: Lu Liu Department of Economics Lund University, Sweden 27th May 2015 Abstract The turbulent market environment experienced over the last decades has attracted the broad interest of institutional and retail investors towards non-directional and absolute return investment strategies. The scope of this paper mainly concerns the investigation of whether a pairs trading strategy based on the cointegration approach generates excess returns on the Swedish equity market or fails to meet initial expectations. This is enhanced by an assessment of the volatility exposure relative to an investment in the corresponding benchmark. In this research, a comprehensive analysis of the pairs trading strategy is performed by (1) implementing a long-term rolling window backtest applied on the OMX, (2) a corresponding scenario analysis of the Swedish stock market including three different market environments, (3) an investigation of different in-sample pairs selection criteria and their respective impact, (4) an extended analysis of the strategy on the EUROSTOXX50 and DAX30 to support the robustness of the obtained outcomes. The empirical results suggest that the pairs trading technique is in fact profitable and superior in terms of return and risk relative to its benchmarks. KEYWORDS: cointegration, statistical arbitrage, pairs trading, market-neutrality, rolling window backtest, OMX, DAX30, EUROSTOXX50, mean reversion, risk management. i Acknowledgment We would like to take this opportunity to express the much-felt gratitude to our supervisor Lu Liu, PhD. Without her guidance and valuable insight this paper would not have been possible.
    [Show full text]
  • Foreign Exchange— the Fastest Growing Market of Our Time
    k Trim Size: 7.375in x 9.25in Lien c01.tex V2 - 10/14/2015 1:45 P.M. Page 1 CHAPTER 1 Foreign Exchange— The Fastest Growing Market of Our Time k 1 k he foreign exchange market is the largest and fastest growing market in the Tworld. Traditionally, it is the platform through which governments, businesses, investors, travelers, and other interested parties convert or ‘‘exchange’’ currency. At its most fundamental level, the foreign exchange market is an over-the-counter (OTC) market with no central exchange and clearing house where orders are matched. FX dealers and market makers around the world are linked to each other around-the-clock via telephone, computer, and fax, creating one cohesive market. Through the years, this has changed with many institutions offering exchange traded FX instruments, but all of the prices are still derived from the underlying or spot forex market. In the pastCOPYRIGHTED two decades, foreign exchange, MATERIAL also known as forex or FX, became available to trade by individual retail investors, and this access caused the market to explode in popularity. In the early 2000s, the Bank of International Settlements reported a 57% increase in volume between April 2001 and 2004. At the time more than $1.9 trillion were changing hands on a daily basis. After the financial crisis in 2008, the pace of growth eased to a still-respectable 32% between 2010 and 2013, but the actual volume that changed hands was significantly larger at an average of $5.3 trillion per day. To put this into perspective, it is 50 times greater than the daily trading volume of the New York Stock Exchange and the NASDAQ combined.
    [Show full text]
  • Day Trading the Currency Market, Kathy Lien Provides Traders with Unique, Change Market Has Evolved Over the Last Few Years and Taries, and Trading Strategies
    $70.00 USA/$77.00 CAN (continued from front flap) SECOND EDITION goes far beyond what other currency trading books DAY TRADING & SWING TRADING the CURRENCY MARKET LIEN cover. It delves into consistently critical questions such as “What Are the Most Market-Moving Indicators for the Praise for the First Edition MARKET TRADING the CURRENCY TRADING & SWING DAY SECOND EDITION n only a few short years, the currency/foreign ex- U.S. Dollar” and “What Are Currency Correlations and “I thought this was one of the best books that I had read on FX. The book should change (FX) market has grown signifi cantly. With How to Use Them,” while touching on topics like “How be required reading not only for traders new to the foreign exchange markets, to Trade like a Hedge Fund Manager” and “The Impact institutions and individuals driving daily average Technical and Fundamental Strategies to Profit from Market Moves Market from Profit to Strategies and Fundamental Technical I but also for seasoned professionals. I’ll defi nitely be keeping it on my desk for volume past the $3 trillion mark, there are many profi t- of Seasonality in the Currency Market” that could give reference. The book is very readable and very educational. In fact, I wish that able opportunities available in this arena—but only if you a distinct edge in this competitive arena. Kathy’s book had been around when I had fi rst started out in FX. It would have ;8PKI8;@E> you understand how to operate within it. Filled with proven trading strategies as well as detailed saved me from a lot of heartache from reading duller books, and would have statistical analysis, the Second Edition of Day Trad- saved me a lot of time from having to learn things the hard way.
    [Show full text]
  • Financial Market Microstructure and Trading Algorithms
    Financial Market Microstructure and Trading Algorithms M.Sc. in Economics and Business Administration Specialization in Applied Economics and Finance Department of Finance Copenhagen Business School 2009 Jens Vallø Christiansen Submitted January 9, 2009 Advisor: Martin Richter 1 SUMMARY The use of computer technology has been an important part of financial markets for decades. For some time, banks, hedge funds and other sophisticated market participants have used computer programs, known as trading algorithms, to trade directly in the market. As electronic trading has become more widespread, computer‐based access to the markets has become more broadly available as well. Many banks and brokerages offer their clients, including private investors, access to the financial markets by means of advanced computer systems that route orders to the optimal price. The consequence has been increased trading volume, better liquidity, and tighter spreads. On major stock exchanges such as NASDAQ in the United States, trading algorithms now represent the majority of daily volume. This means that the majority of trading takes part without direct contact between human traders. There are two main types of trading algorithms, those that are used for optimal execution, i.e. obtaining the best possible price for an order, and those used for speculation. This paper describes both from a theoretical perspective, and shows how two types of speculative algorithms can be designed. The first is a strategy that uses exponential moving averages to capture price momentum. The second is a market neutral relative‐value strategy that trades individual stocks against each other known as pairs trading. Both are tested using empirical data and the results are encouraging.
    [Show full text]
  • Optimal Pairs Trading Strategies in a Cointegration Framework Zhe Huang, Franck Martin
    Optimal pairs trading strategies in a cointegration framework Zhe Huang, Franck Martin To cite this version: Zhe Huang, Franck Martin. Optimal pairs trading strategies in a cointegration framework. 2017. halshs-01566803 HAL Id: halshs-01566803 https://halshs.archives-ouvertes.fr/halshs-01566803 Preprint submitted on 21 Jul 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Centre de Recherche en Économie et Management Center for Research in Economics and Management University of Rennes 1 of Rennes University University of Normandie Caen University Optimal pairs trading strategies in a cointegration framework Zhe Huang Université de Rennes 1, CREM UMR CNRS 6211, France Franck Martin Université de Rennes 1, CREM UMR CNRS 6211, France July 2017 - WP 2017-08 Working Paper Optimal pairs trading strategies in a cointegration framework Zhe Huang and Franck Martin University of Rennes 1 (France) and CREM UMR CNRS 6211 This version, July 2017 Abstract Statistical arbitrage is based on pairs trading of mean-reverting returns. We used cointegration approach and ECM-DCC-GARCH to construct 98 pairs of 152 stocks of 3 currencies. Stocks trading is done by Contract for Difference, a financial derivative product which facilitates short selling and provides a leverage up to 25 times.
    [Show full text]
  • Pairs Trading: a Professional Approach
    Pairs Trading: A Professional Approach Russell Wojcik Illinois Institute of Technology What is Pairs Trading? • Pairs Trading or the more inclusive term of Statistical Arbitrage Trading is loosely defined as trading one financial instrument or basket of financial instruments against a second financial instrument or basket of financial instruments - Long one and Short the other. • This Presentation will concentrate on trading four of the major E-mini stock Index futures against each other. – S&P 500 – Nasdaq 100 – Dow Jones Industrials – Russell 2000 Trading Time Frame. • An example of the classic Pairs trade was buying Royal Dutch (RD) stock and selling Shell (SC) stock when their values got out of line and holding the trade for a period of days or even weeks. • This Pairs trade was driven by a fundamental reason. A Corporate Charter stipulated that 60% of income received went to RD and 40% went to SC. • Today, utilizing High Frequency trading techniques Pairs trades can be executed hundreds or even thousands of times in a single day and are more statistical in nature. Brief History of Statistical Arbitrage. • Nunzio Tartaglia was a ground breaking quantitative trader who led Morgan Stanley’s analytical and proprietary trading group in the mid 1980’s. • David Shaw (D.E. Shaw & Co.), moved from Morgan Stanley and started his own “Quant” trading firm in the late 1980’s. Types of Mathematical concepts used in Statistical Arbitrage. • Time Series Analysis methods like PCA, ICA, Cointegration and Autoregression. • Neural Networks and Pattern Recognition methods. • Particle Physics concept of “free energy” and and energy minimization.
    [Show full text]