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Addressing the Investors Dilemma Using Pairs Trading - Co-Integrational Study of Indian Stocks


Affiliations
1 Department of Finance, International School of Business and Media, India
2 Department of Finance, Hazrat Khajar Bashir Unani Ayurvedic Medical College and Hospital Foundation, Bangladesh
3 Department of Management, Institute of Innovation in Technology and Management, India
     

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The increasing volatility in stock, commodities and foreign exchange markets compel investors and scholars to look for strategies which would immunize the investors against the unprecedented movement of the markets. Investors are often at dilemma to take correct positions to offset the risks in the market. This effort to offset market risk led to discovery of several market-neutral investment strategies of which a very popular one is Pairs Trading. It essentially involves taking opposite positions in two highly correlated assets. This study is on identifying pairs of stocks in the National Stock Exchange (NSE) which are suitable for pairs trading. The method of cointegration, both in long and short run, have been utilized in this study. Related statistical concepts of autocorrelation and stationarity have also been used in the study.

Keywords

Pairs Trading, NSE, Cointegration, Autocorrelation, Stationarity
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  • Bernhard Pfaff, “VAR, SVAR and SVEC Models: Implementation within R Package Vars”, Journal of Statistical Software, Vol. 27, No. 4, pp. 1-13, 2008.

  • Do Binh Do, &Robert Faff, “Does Simple Pairs Trading Still Work?”, Financial Analysts Journal, Vol. 66, No. 4, pp. 83-95, 2018.

  • Christian L. Dunis, Jason Laws and Adam Shone, “Cointegration-Based Optimisation of Currency Portfolios”, Journal of Derivatives and Hedge Funds, Vol. 17, No. 2, pp. 86-117, 2011.

  • Evren Bolgun, Engin Kurun and Serhat Guven, “Dynamic Pairs Trading Strategy for the Companies Listed in the Istanbul Stock Exchange”, Munich Personal RePEc Archive, Vol. 23, No. 3, pp. 1-15, 2009.

  • R.S. Tsay, “Analysis of Financial Time Series”, Wiley, 2005.

  • Franco Ho Ting Lin, “Dynamic Asset Allocation for Pairs Trading”, Available at https://francohtlin.github.io, Accessed at 2018.

  • Jan Broel Plater and Khurram Nisar, “A Wider Perspective on Pairs Trading, A Trading Application with Non-Equity Assets”, Master Thesis, Department of Economics, School of Economics and Management Lund University, pp. 1-145, 2010.

  • João F. Caldeira and Guilherme V. Moura, “Selection of a Portfolio of Pairs Based on Cointegration: A Statistical Arbitrage Strategy”, SSRN, Vol. 12, No. 2, pp. 1-13, 2013.

  • Jose Balarezo, “International Diversification Using Cointegration and Modern Portfolio Theory”, Master Thesis, Department of Management Studies, Copenhagen Business School, pp. 1-145, 2010.

  • Markus Harlacher, “Cointegration Based Algorithmic Pairs Trading”, Ph.D. Dissertation, School of Management, University of St. Gallen, pp. 1-207, 2016.

  • B. Pfaff, “Analysis of Integrated and Cointegrated Time Series with R”, 2nd Edition, Springer, 2008.

  • Ravi Bansa and Dana Kiku, “Cointegration and Long-Run Asset Allocation”, Journal of Business and Economic Statistics, Vol. 29, No. 1, pp. 1-11, 2011.

  • RStudio Team, “RStudio: Integrated Development for R. RStudio”, Available at http://www.rstudio.com/, Accessed at 2005.

  • Samar Habibi and Kamran Pakizeh, “Profitability of the Pair Trading Strategy across Different Asset Classes”, International Research Journal of Finance and Economics, Vol. 13, No. 2, pp. 1-17, 2017.


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  • Addressing the Investors Dilemma Using Pairs Trading - Co-Integrational Study of Indian Stocks

Abstract Views: 156  |  PDF Views: 0

Authors

Rajib Bhattacharya
Department of Finance, International School of Business and Media, India
Shuvashish Roy
Department of Finance, Hazrat Khajar Bashir Unani Ayurvedic Medical College and Hospital Foundation, Bangladesh
Sarmistha Sarma
Department of Management, Institute of Innovation in Technology and Management, India

Abstract


The increasing volatility in stock, commodities and foreign exchange markets compel investors and scholars to look for strategies which would immunize the investors against the unprecedented movement of the markets. Investors are often at dilemma to take correct positions to offset the risks in the market. This effort to offset market risk led to discovery of several market-neutral investment strategies of which a very popular one is Pairs Trading. It essentially involves taking opposite positions in two highly correlated assets. This study is on identifying pairs of stocks in the National Stock Exchange (NSE) which are suitable for pairs trading. The method of cointegration, both in long and short run, have been utilized in this study. Related statistical concepts of autocorrelation and stationarity have also been used in the study.

Keywords


Pairs Trading, NSE, Cointegration, Autocorrelation, Stationarity

References