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Examining the Hedging Effectiveness of Futures Contracts over Pre and Post Financial Crisis Period:Evidence from National Stock Exchange of India


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1 Punjab Institute of Management (PIM), I. K. Gujral Punjab Technical University, Kapurthala, Punjab, India
     

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Present study examines the efficiency of futures contracts in hedging unwanted price risk over highly volatile period i.e. June 2000-December 2007 and January 2008-June 2014, pre and post-financial crisis period, by using S&PCNXNIFTY, CNXIT and BANKNIFTY for near month futures contracts. The hedge ratios have been estimated by using five methods namely Ederington's Model, ARMA-OLS, GARCH (p,q), EGARCH (p,q) and TGARCH (p,q). The study finds that hedging effectiveness increased during post crisis period for S&PCNXNIFTY and BANKNIFTY. However, for CNXIT hedging effectiveness was better during pre crisis period than post crisis. The study also finds that time-invariant hedge ratio is more efficient than time-variant hedge ratio.

Keywords

Hedge Ratio, Hedge Horizon, Basis Risk, Heteroscedasticity, Conditional Volatility.
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  • Abdulnasser Hatemi-Ja, E. R. (2006). Calculating the optimal hedge ratio constant, time varying and the kalman filter approach. Applied Economics Letters , 13, 293–299.

  • Aggarwal, R., & DeMaskey, A. L. (1997). Using derivatives in major currencies for cross-hedging currency risks in asian emerging markets. The Journal of Futures Markets , 17(7), 781–796.

  • Ali, R., & Afzal, M. (2012). Impact of global financial crisis on stock markets: Evidence from Pakistan and India. Journal of Business Management and Economics. 3(7), 275-282.

  • Alizadeh, A., & Nomikos, N. (2004). A markov regime switching approach for hedging stock indices. The Journal of Futures Market , 24(7), 649-674.

  • Anshuman, R., & Goswami, R. (2000). Day of the week effects on the bombay stock exchange. Research Paper Presented in UTI Capital Market Conference Proceedings, 1-33.

  • Awang, N., Azizan, N. A., Ibrahim, I., & Said R. M. (2014). Hedging effectiveness of stock index futures market: An analysis on malaysia and singapore futures markets. Research Paper Presented in International Conference on Economics, Management and Development Proceedings, 24-34.

  • Barua, S. K. (1981). The short-run price behaviour of securities: Some evidence on efficiency of indian capital market. Vikalpa, 16(2), 93-100.

  • Bhaduri, S. N., & Durai, S. R. (2007). Optimal hedge ratio and hedging effectiveness of stock index futures: Evidence from India. NSE Research Paper. India: NSE.

  • Bhargava, V., & Malhotra, D. (2007). Determining the optimal hedge ratio: Evidence from cotton and soybean markets. Journal of Business and Economic Studies , 13(1), 38-57.

  • Bose, S. (2006). The Indian derivatives market revisited. ICRA Bulletin: Money and Finance, 81-112.

  • Brooks, C., Cerny, A., & Miffre, J. (2012). Optimal hedging with higher moments. The Journal of Futures Markets , 32(10), 909-944.

  • Butterworth, D., & Holmes, P. (2001). The hedging effectiveness of stock index futures: Evidence for the FTSE-100 and FTSE-mid250 indexes traded in the UK. Applied Financial Economics , 11, 57-68.

  • Carlton, D. (1984). Futures markets: Their purpose, their history, their successes and failures. The Journal of Futures Markets , 4(3), 237-271.

  • Castelino, M. G. (1992). Hedge effectiveness: Basis risk and minimum-variance hedging. The Journal of Futures Markets , 20(1), 89-103.

  • Chan, L., & Lien, D. (2001). Cash Settlement and Price Discovery in Futures Market. Quarterly Journal of Business and Economics , 40 (3/4), 65-77.

  • Chang. C. Y., Lai. J. Y., & Chuang I. Y. (2010). Futures hedging effectiveness under the segmentation of bear/bull energy markets. Energy Economics, 32, 442-449.

  • Chang, E., Chou, R. Y., & Nelling, E. (2000). Market volatility and the demand for hedging in stock index futures. The Journal of Futures Markets , 20(2), 105–125.

  • Chaudhuri, S. K. (1991). Short-run behaviour of industrial share price indices: An empirical investigation. Prajnan, 22(2), 169-183.

  • Ping, C. (1996). A random-walk or color-chaos on the stock market?- Time- frequency analysis of S & P indexes. Studies in Nonlinear Dynamics & Econometrics, 1(2), 87-103.

  • Chen, C.-C., & Tsay, W.-J. (2011). A markov regime switching arma approach for hedging stock indices. The Journal of Futures Market , 31(2), 165-191.

  • Chen, S.-S., Lee, C.-F., & Shrestha, K. (2004). An empirical analysis of the relationship between the hedge ratio and hedging horizon: A simultaneous estimation of the short- and long-run hedge ratios. The Journal of Futures Markets , 24(4), 359-386.

  • Chen, S. Y., Lin, C. C., Chou, P. H., & Hwang, D. Y. (2002). A comparison of hedge effectiveness and price discovery between TAIFEX TAIEX index futures and SGX MSCI Taiwan index futures. Review of Pacific Basin Financial Markets and Policies, 5(2), 277-300.

  • Chen, S.-S., Lee, C.-F., & Shrestha, K. (2001). On a meangeneralized semivariance approach to determining the hedge ratio. The Journal of Futures Markets , 21(6), 581–598.

  • Cox, C. C. (1976). Futures trading and market information. The Journal of Polotical Economy , 84(6), 1215-1237.

  • Crowder, W. J., & Phengpis, C. (2005). Stability of the S&P 500 futures market efficiency conditions. Applied Financial Economics, 15, 855-866.

  • Diagler, R. T., & Wiley, M. K. (1999). The impact of trader type on the futures volatility-volume relation. The Journal of Finance, 54(6) 2297-2316.

  • Dimson, E., & Mussavian, M. (1998). A brief history of market efficiency. European Financial Management, 4(1), 91-104.

  • Ederington, L. H. (1979). The hedging performance of the new futures markets. The Journal of Finance , 34(1), 157-170.

  • Evans, T. (2006). Efficiency tests of the U.K. financial futures markets and the impact of electronic trading systems. Applied Financial Economics, 16, 1273-1283.

  • Fama, E. F. (1965). The behavior of stock-market prices. The Journal of Business, 38(1), 34-105.

  • Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. Journal of Finance, 25(2), 383-417.

  • Figlewski, S. (1984). Hedging performance and basis risk in stock index futures. The Journal of Finance , 39(3), 657-669.

  • Floros, C., & Vougas, D. V. (2004). Hedge Ratio in Greek Stock Index Futures Market. Applied Financial Economics , 14, 1125-1136.

  • Floros, C., & Vougas, D. V. (2006). Hedging effectiveness in greek stock index futures market, 1999-2001. International Research Journal of Finance and Economics , 5, 7-18.

  • Garbade, K. D., & Silber, W. L. (1983). Price movement and price discovery in futures and cash markets. The Review of Economis and Statistics , 65(2), 289-297.

  • Goudarzi, H., & Ramanarayanan, C. S. (2011). Modeling asymmetric volatility in the Indian stock market. International Journal of Business and Management, 6(3), 221-231.

  • Gupta, K., & Singh, B. (2006a). Random walk and indian equity futures market. ICFAI Journal of Derivatives Market, 3(3), 23-42.

  • Gupta, K., & Singh, B. (2006b). Investigating the price discovery efficiency of Indian equity futures market. PARADIGM, 10(2), 33-45.

  • Gupta, K., & Singh, B. (2009). Estimating the optimal hedge ratio in Indian equity futures market. Journal of Financial Risk Management, 6 (3 & 4), 38-98.

  • Gupta, O. P. (1985). Behaviour of share prices in India: A test of market efficiency. National Publications, New Delhi.

  • Harris, R. D. F., & Shen, J. (2003). Robust estimation of the optimal hedge ratio. Journal of Futures Markets, 23(8), 799-816.

  • Hatemi-J, A., & Roca, E. (2006). Calculating the optimal hedge ratio: Constant, time varying and the Kalman Filter approach. Applied Economics Letters, 13(5), 293-299.

  • Holmes, P. (1995). Ex ante hedge ratios and the hedging effectiveness of the FTSE-100 stock index futures contracts. Applied Economics Letters , 2, 56-59.

  • In, F., & Kim, S. (2006). The hedge ratio and the empirical relationship between the stock and futures markets: A new approach using wavelet analysis. The Journal of Business , 79(2), 799-820.

  • Johnson, L. (1960). The theory of hedging and speculation in commodity futures. Review of Economic Studies , 27, 139-151.

  • Joshi, P. (2012). Financial crisis and volatility behaviour of stock markets of Asia. TIMS - QUEST, 2(2).

  • Juhl, T., Kawaller, I. G., & Koch, P. D. (2012). The effect of the hedge horizon on optimal hedge size and effectiveness when prices are cointegrated. The Journal of Futures Markets , 32(9), 837–876.

  • Kamara, A. (1982). Issues in futures markets: A survey. The Journal of Futures Markets , 2(3), 261-294.

  • Kamara, A., & Siegel, A. F. (1987). Optimal hedging in futures markets with multiple delivery specifications. The Journal of Finance , 42(4), 1007-1021.

  • Kamath R. R. et al., (1998). Return distribution and the day-of-the-week effects in the stock exchange of Thailand. Journal of Economics and Finance, 22(23), 97-106.

  • Karpoff, J. M. (1987). The relation between price changes and trading volume: A survey. Journal of Financial and Quantitative Analysis, 22(1), 109-126.

  • Kendall, M. G., & Hill, B. A. (1953). The analysis of economic time series part I. prices. Journal of Royal Statistical Society, 96, 11-25.

  • Kenourgios, D., Samitas, A., & Drosos, P. (2008). Hedge ratio estimation and hedging effectiveness: the case of the S&P 500 stock index futures contract. International Journal of Risk Assessment and Management , 9(1/2), 121-134.

  • Kofman, P., & Patrick, M. (2005). Structurally sound dynamic index futures hedging. The Journal of Futures Markets , 25(12), 1173-1202.

  • Kroner, K. F., & Sultan, J. (1993). Time-varying distributions and dynamics hedging with foreign currency futures. The Journal of Financial and Quantitative Analysis , 28(4), 535-551.

  • Kumar S. S. S. (2012). “Financial Derivatives”, Edition 5, PHI Learning Private Limited, 1-28.

  • Kadapakkam, P. R., & Kumar, U. (2013). Impact of Liquidity on the Futures-Cash Basis: Evidence from the Indian Market. Journal of Futures Markets, 33(3), 266-298.

  • Lee, H. T. and Yoder, J. K. (2007). A Bivariate Markov Regime Switching GARCH Approach to Estimate Time Varying Minimum Variance Hedge Ratios. Applied Economics , 39, 1253–1265.

  • Lien, D. (2005). A Note on the Superiority of the OLS Hedge Ratio. The Journal of Futures Market, 25 (11), 1121–1126.

  • Lien, D., & Luo, X. (1994). Multiperiod Hedging in the Presence of Conditional Heteroskedasticity. The Journal of Futures Markets , 14(8), 927-955.

  • Longin, F., & Solnik, B. (2001). Extreme correlation of international equity markets. Journal of Finance, 56, 649-676.

  • Mangala, D., & Mittal, R. K. (2005). Efficiency of Indian stock market: An evidence of day-of-the-week effect. Gyan – A Bi-Annual Journal of Management & Technology, 1(1), 3-8.

  • Marisetty, V. B. (2003). Measuring productive efficiency of stock exchanges using price adjustment coefficients. International Review of Finance, 4(1-2), 79-99.

  • Mishra, B. (1999). Presence of friday effect in Indian stock market. Paradigm, 3(2), 57-64.

  • Moolman, H. C. (2004). An asymmetric econometric model of the South African stock market. Ph. D thesis submitted to faculty of economics and management science at University of Pretoria, 1-195.

  • Monoyios, M., & Sarno, L. (2002). Mean reversion in stock index futures markets: A nonlinear analysis. The Journal of Futures Markets , 22(4), 285-314.

  • Moschini, G., & Myers, R. J. (2002). Testing for constant hedge ratios in commodity markets: A multivariate GARCH approach. Journal of Empirical Finance , 9, 589–603.

  • Myers, R. J. (1991). Estimating time-varying optimal hedge ratios on futures markets. The Journal of Futures Markets , 20(1), 73-87.

  • Nath, G. C. (2002). Long memory and Indian stock market – An empirical evidence. Research Paper Presented in UTI Capital Market Conference Proceedings, 1-20.

  • Nelson, D. B. (1991). Conditional heteroskedasticity in asset returns: A new approach: Econometrica, 59, 347-370.

  • Neuberger, A. (1999). Hedging long-term exposures with multiple short-term futures contracts. The Review of Financial Studies , 12(3), 429-459.

  • Pant, B., & Bishnoi, R. T. (2001). Testing random walk hypothesis for Indian stock market indices. Research Paper Presented in UTI Capital Market Conference Proceedings, 1-15.

  • Park, T. H., & Switzer, L. N. (1995). Time-varying distributions and the optimal hedge ratios for stock index futures. Applied Financial Economics , 5, 131-137.

  • Pattarin, F., & Ferretti, R. (2004). The Mib30 index and futures relationship: econometric analysis and implications for hedging. Applied Financial Economics , 14, 1281-1289.

  • Penning, M. E., & Meulenberg, M. T. G. (1997). The Journal of Futures Market, 17(5), 599-615. John Wiley & Sons, Inc.

  • Pradhan, K. C. (2011). The hedging effectiveness of stock index futures: Evidence for the S&P CNX nifty index traded in India. South East European Journal of Economics & Business, 6(1), 111-123.

  • Rao, N, S. V. D., & Thakur, S. (2008). Optimal hedge ratio and hedge efficiency: An empirical investigation of hedging in Indian derivatives market. Downloaded from https://www.soa.org/library/monographs/othermonographs/2008/april/mono-2008-m as08-1thakur.pdf on January 21, 2014.

  • Rao, K. N. (1988). Stock market efficiency: Indian experience,” Proceedings of National Seminars on Indian Securities Markets: Thrust and Challenges, March 24-26, University of Delhi, 1988: New Delhi.

  • Ranjan, R., & Padhye, A. (2000). Market anomalies in emerging markets: Revisiting the calendar effect in stock prices. ICICI Research Centre. Org., 1-19.

  • Reddy, S. Y. (1997). Efficiency of Indian stock markets: An empirical analysis of weak-form EMH of the BSE. Research Paper Presented in UTI Capital Market Conference Proceedings, 91-115.

  • Sharma, J. L. (1983). Efficient capital markets and random character of stock price behaviour in developing economy. Indian Journal of Economics, 63, 395- 419.

  • Stein, J. L. (1961). The simultaneous determination of spot and futures prices. The American Economic Review , 51(5), 1012-1025.

  • Stevenson, A. R., & Bear, M. R. (1970). Commodity futures: Trends or random walks?. The Journal of Finance, 25(1), 65-81.

  • Telser, L. G. (1981). Why there are organisd futures markets. Journal of Law and Economics , 24(1), 1-22.

  • Theobald, M., & Yallup, P. (2001). Mean reversion and basis dynamics. The Journal bof Futures Markets , 21(9), 797–818.

  • Theobald, M., & Yallup, P. (1997). Hedging Ratios and Cash/Futures Market Linkages. The Journal of Futures Markets, 17(1), 101-115.

  • Thomas, S. (2006). Interdependence and dynamic linkages between S&P CNX Nifty futures and spot market: With specific reference to volatility, expiration effects and price discovery mechanism. PhD Thesis, Department of Management Studies, IIT Madras.

  • Woking, H. (1953). Futures trading and hedging. American Economic Review , 43, 314-343.

  • Working, H. (1962). New concepts concerning futures markets and prices. The American Economic Review , 52(3), 431-459.

  • Yang, M. J., & Lai, Y.-C. (2009). An out-of-sample comparative analysis of hedging performance of stock index futures: Dynamic versus static hedging. Applied Financial Economics , 19, 1059-1072.

  • Zeng, T. (2001). Mean reversion and the comovement of equilibrium spot and futures prices: Implications from alternative data-generating processes. The Journal of Futures Markets, 21(8), 769-796.


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  • Examining the Hedging Effectiveness of Futures Contracts over Pre and Post Financial Crisis Period:Evidence from National Stock Exchange of India

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Authors

Kapil Gupta
Punjab Institute of Management (PIM), I. K. Gujral Punjab Technical University, Kapurthala, Punjab, India
Mandeep Kaur
Punjab Institute of Management (PIM), I. K. Gujral Punjab Technical University, Kapurthala, Punjab, India

Abstract


Present study examines the efficiency of futures contracts in hedging unwanted price risk over highly volatile period i.e. June 2000-December 2007 and January 2008-June 2014, pre and post-financial crisis period, by using S&PCNXNIFTY, CNXIT and BANKNIFTY for near month futures contracts. The hedge ratios have been estimated by using five methods namely Ederington's Model, ARMA-OLS, GARCH (p,q), EGARCH (p,q) and TGARCH (p,q). The study finds that hedging effectiveness increased during post crisis period for S&PCNXNIFTY and BANKNIFTY. However, for CNXIT hedging effectiveness was better during pre crisis period than post crisis. The study also finds that time-invariant hedge ratio is more efficient than time-variant hedge ratio.

Keywords


Hedge Ratio, Hedge Horizon, Basis Risk, Heteroscedasticity, Conditional Volatility.

References