Bolgun, Evren and Kurun, Engin and Guven, Serhat (2009): Dynamic Pairs Trading Strategy For The Companies Listed In The Istanbul Stock Exchange.
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In this research we performed pairs trading strategy based on a comparative mean reversion of asset prices with daily data over the period 2002 through 2008 in Istanbul Stock Exchange. We did not categorize stock pairs by sectors and therefore it is possible to observe mean reversion characteristics of different stocks that are selected from ISE-30 index. The initial formation period is 125 days (approx. 6 months) while we measure the performance results daily. Then both formation process and trading strategies have been structured as dynamic (rolling windows) market trading model through 2008. The results indicate that pairs produced average returns of % 3.36 daily comparing with the naïve buy and hold strategy. However ISE30 daily average return performance % 0.038 between 2002-2008 period. Our trading constraints and trading commissions take away the excess return on pairs mostly. Furthermore, the performance analysis reveals that the pairs trading strategy yields excess returns with less volatility than the market portfolio.
|Item Type:||MPRA Paper|
|Original Title:||Dynamic Pairs Trading Strategy For The Companies Listed In The Istanbul Stock Exchange|
|Keywords:||mean reversion, pairs trading, distance method, market neutral portfolio, Istanbul Stock Exchange, trading strategies|
|Subjects:||G - Financial Economics > G1 - General Financial Markets
G - Financial Economics > G1 - General Financial Markets > G11 - Portfolio Choice; Investment Decisions
|Depositing User:||Serhat Guven|
|Date Deposited:||11. Jan 2010 17:37|
|Last Modified:||12. Feb 2013 04:02|
 Alexander, C. and Dimitriu, A., “The cointegration alpha: enhanced index tracking and long-short equity market neutral strategies”, Discussion Papers in Finance ISMA Center 2002-08, University of Reading. 2002.
 Andrade, S.C., Northwestern, V.P. and Seasholes, M.S., “Understanding the Profitability of Pairs Trading”, WP, 2005
 Block Franc, Pair Trading and Portfolio Construction, Application Note, pg.3, Insightful
 Chng, M.T., “Understanding the risks in and rewards for pairs-trading”, June 2007, ICBME
 Fama, E. “Efficient Capital Markets”, II. Journal of Finance, v. 46, p. 1575-1617, 1991.
 Gatev, E.G., Goetzmann, W.N. and Rouwenhorst, K.G., “Pairs trading: performance of a relative average arbitrage rule” NBER Working Paper 7032, National Bureau of Economic Research Inc., 1999. Available online at: http://www.nber.org/papers/w7032.
 Goetzmann, W.N and Ross, S. “Hedge Funds:Theory and Performance”, Yale Universtiy, Working Paper, 2000
 Herlemont, D. “Pairs Trading, Convergence Trading, Cointegration”, 2003
 Maddala, G. S. Introduction to Econometrics. John Wiley & Sons, 2001.
 Perlin, M.S., “Evaluation of Pairs Trading Strategy at the Brazilian Financial Market”, Unpublished working paper, 2007. Available online at: http://ssrn.com/abstract=952242
 Perlin, M.S., M of a kind: A Multivariate Approach at Pairs Trading, 2007
 Purnendu, Nath, “High Frequency Pairs Trading with U.S. Treasury Securities: Risks and Rewards for Hedge Funds”, Working Paper, London Business School. 2003
 Vidyamurthy, G., Pairs Trading—Quantitative Methods and Analysis, 2004 (Wiley: New York).
 Whistler, M., Trading Pairs—Capturing Profits and Hedging Risk with Statistical Arbitrage Strategies, 2004 (Wiley:New York). 20
 Elliott, R.J. Hoek, J. van der and Malcolm. W.P. Pairs trading. Quantitative Finance, pages 271–276, 2005.
 Triantafyllopoulos, K and Montana, G. Dynamic modeling of mean-reverting spreads for statistical Arbitrage, August 2008. (stochastic process example)
 Do.Bihn, Faff.Robert, Hamza.Kais.(2006); A New Approach to Modelling and Estimation for Pairs Trading,pg.2.