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Testing Martingale Hypothesis Using Variance Ratio Tests: Evidence from High-frequency Data of NCDEX Soya Bean Futures

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  • Sibanjan Mishra

Abstract

The aim of the article is to examine the martingale hypothesis of market efficiency on high-frequency data of the soya bean futures traded in National Commodity and Derivatives Exchange (NCDEX) of India using multiple variance ratio (VR) tests from February 2015 to August 2015. The study employs high-frequency future prices of 5, 10, 15, 30 and 60 min time intervals mainly to decipher the efficiency of processing information by soya bean traders during intraday sessions of futures trading. The results of VR tests confirm that except prices of 5 and 10 min intervals which displays weak form of market efficiency, all other samples follow martingale hypothesis. The findings suggest that as information gets absorbed promptly in the intraday NCDEX soya bean futures prices, there exists fairly less opportunities to explore any trading strategy for profitable outcomes in the soya bean futures market in India.

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  • Sibanjan Mishra, 2019. "Testing Martingale Hypothesis Using Variance Ratio Tests: Evidence from High-frequency Data of NCDEX Soya Bean Futures," Global Business Review, International Management Institute, vol. 20(6), pages 1407-1422, December.
    • Handle: RePEc:sae:globus:v:20:y:2019:i:6:p:1407-1422
    DOI: 10.1177/0972150919848937
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    as
    1. Jian Yang & Michael Haigh & David Leatham, 2001. "Agricultural liberalization policy and commodity price volatility: a GARCH application," Applied Economics Letters, Taylor & Francis Journals, vol. 8(9), pages 593-598.
    2. Chow, K. Victor & Denning, Karen C., 1993. "A simple multiple variance ratio test," Journal of Econometrics, Elsevier, vol. 58(3), pages 385-401, August.
    3. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    4. W. Erno Kuiper & Joost M. E. Pennings, 2002. "Identification by full adjustment: evidence from the relationship between futures and spot prices," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 29(1), pages 67-84, March.
    5. David Bigman & David Goldfarb & Edna Schechtman, 1983. "Futures market efficiency and the time content of the information sets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 3(3), pages 321-334, September.
    6. Herbert, John H & Kreil, Erik, 1996. "US natural gas markets : How efficient are they?," Energy Policy, Elsevier, vol. 24(1), pages 1-5, January.
    7. Philip Garcia, 2004. "A selected review of agricultural commodity futures and options markets," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 31(3), pages 235-272, September.
    8. Emmett Elam & Bruce L. Dixon, 1988. "Examining the validity of a test of futures market efficiency," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 8(3), pages 365-372, June.
    9. Charles, Amélie & Darné, Olivier & Fouilloux, Jessica, 2013. "Market efficiency in the European carbon markets," Energy Policy, Elsevier, vol. 60(C), pages 785-792.
    10. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    11. Chung‐Hua Shen & Lee‐Rong Wang, 1990. "Examining the validity of a test of futures market efficiency: A comment," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 10(2), pages 195-196, April.
    12. Jabir Ali & Kriti Bardhan Gupta, 2011. "Efficiency in agricultural commodity futures markets in India," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(2), pages 162-178, August.
    13. M.A. Lagesh & Mohammed Kasim C. & Sunil Paul, 2014. "Commodity Futures Indices and Traditional Asset Markets in India: DCC Evidence for Portfolio Diversification Benefits," Global Business Review, International Management Institute, vol. 15(4), pages 777-793, December.
    14. Wright, Jonathan H, 2000. "Alternative Variance-Ratio Tests Using Ranks and Signs," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(1), pages 1-9, January.
    15. A. J. Aulton & C. T. Ennew & A. J. Rayner, 1997. "Efficiency Tests Of Futures Markets For Uk Agricultural Commodities," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 408-424, January.
    16. Andrew McKenzie & Matthew Holt, 2002. "Market efficiency in agricultural futures markets," Applied Economics, Taylor & Francis Journals, vol. 34(12), pages 1519-1532.
    17. T. Randall Fortenbery & Hector O. Zapata, 1993. "An examination of cointegration relations between futures and local grain markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 13(8), pages 921-932, December.
    18. Kim, Jae H., 2006. "Wild bootstrapping variance ratio tests," Economics Letters, Elsevier, vol. 92(1), pages 38-43, July.
    19. Hochberg, Yosef, 1974. "Some generalizations of the T-method in simultaneous inference," Journal of Multivariate Analysis, Elsevier, vol. 4(2), pages 224-234, June.
    20. Stevenson, Richard A & Bear, Robert M, 1970. "Commodity Futures: Trends or Random Walks?," Journal of Finance, American Finance Association, vol. 25(1), pages 65-81, March.
    21. Politis, D. N. & Romano, Joseph P. & Wolf, Michael, 1997. "Subsampling for heteroskedastic time series," Journal of Econometrics, Elsevier, vol. 81(2), pages 281-317, December.
    22. Neil Kellard & Paul Newbold & Tony Rayner & Christine Ennew, 1999. "The relative efficiency of commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(4), pages 413-432, June.
    23. Crain, Susan J & Lee, Jae Ha, 1996. "Volatility in Wheat Spot and Futures Markets, 1950-1993: Government Farm Programs, Seasonality, and Causality," Journal of Finance, American Finance Association, vol. 51(1), pages 325-343, March.
    24. Kushankur Dey & Debasish Maitra, 2012. "Price discovery in Indian commodity futures market: an empirical exercise," International Journal of Trade and Global Markets, Inderscience Enterprises Ltd, vol. 5(1), pages 68-87.
    25. Martina, Esteban & Rodriguez, Eduardo & Escarela-Perez, Rafael & Alvarez-Ramirez, Jose, 2011. "Multiscale entropy analysis of crude oil price dynamics," Energy Economics, Elsevier, vol. 33(5), pages 936-947, September.
    26. Kim, Hongseok & Oh, Gabjin & Kim, Seunghwan, 2011. "Multifractal analysis of the Korean agricultural market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4286-4292.
    27. Pravakar Sahoo & Rajiv Kumar, 2009. "Efficiency and Futures Trading-Price Nexus in Indian Commodity Futures Markets," Global Business Review, International Management Institute, vol. 10(2), pages 187-201, July.
    28. Roll, Richard, 1972. "Interest Rates on Monetary Assets and Commodity Price Index Changes," Journal of Finance, American Finance Association, vol. 27(2), pages 251-277, May.
    29. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    30. Amélie Charles & Olivier Darné, 2009. "Variance‐Ratio Tests Of Random Walk: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 503-527, July.
    31. Whang, Yoon-Jae & Kim, Jinho, 2003. "A multiple variance ratio test using subsampling," Economics Letters, Elsevier, vol. 79(2), pages 225-230, May.
    32. Edwin D. Maberly, 1985. "Testing futures market efficiency—A restatement," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 5(3), pages 425-432, September.
    33. Richardson, Matthew & Smith, Tom, 1991. "Tests of Financial Models in the Presence of Overlapping Observations," The Review of Financial Studies, Society for Financial Studies, vol. 4(2), pages 227-254.
    34. Larson, Arnold B., 1960. "Measurement of a Random Process in Futures Prices," WAEA/ WFEA Conference Archive (1929-1995) 323441, Western Agricultural Economics Association.
    35. Danthine, Jean-Pierre, 1977. "Martingale, market efficiency and commodity prices," European Economic Review, Elsevier, vol. 10(1), pages 1-17.
    36. Sushil Mohan & James Love, 2004. "Coffee futures: role in reducing coffee producers' price risk," Journal of International Development, John Wiley & Sons, Ltd., vol. 16(7), pages 983-1002.
    37. Hernandez, Manuel & Torero, Maximo, 2010. "Examining the dynamic relationship between spot and future prices of agricultural commodities," IFPRI discussion papers 988, International Food Policy Research Institute (IFPRI).
    38. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
    39. Wang, Yudong & Liu, Li, 2010. "Is WTI crude oil market becoming weakly efficient over time?: New evidence from multiscale analysis based on detrended fluctuation analysis," Energy Economics, Elsevier, vol. 32(5), pages 987-992, September.
    40. Kim, Min Jae & Kim, Sehyun & Jo, Yong Hwan & Kim, Soo Yong, 2011. "Dependence structure of the commodity and stock markets, and relevant multi-spread strategy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(21), pages 3842-3854.
    41. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    42. Zunino, Luciano & Tabak, Benjamin M. & Serinaldi, Francesco & Zanin, Massimiliano & Pérez, Darío G. & Rosso, Osvaldo A., 2011. "Commodity predictability analysis with a permutation information theory approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(5), pages 876-890.
    43. Tabak, Benjamin M. & Cajueiro, Daniel O., 2007. "Are the crude oil markets becoming weakly efficient over time? A test for time-varying long-range dependence in prices and volatility," Energy Economics, Elsevier, vol. 29(1), pages 28-36, January.
    44. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    45. Kian‐Ping Lim & Robert Brooks, 2011. "The Evolution Of Stock Market Efficiency Over Time: A Survey Of The Empirical Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 69-108, February.
    46. Faust, Jon, 1992. "When Are Variance Ratio Tests for Serial Dependence Optimal?," Econometrica, Econometric Society, vol. 60(5), pages 1215-1226, September.
    47. Kon S. Lai & Michael Lai, 1991. "A cointegration test for market efficiency," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(5), pages 567-575, October.
    48. Larson, Arnold B., 1960. "Measurement of a Random Process in Futures Prices," Food Research Institute Studies, Stanford University, Food Research Institute, vol. 1(3), pages 1-12.
    49. Dusak, Katherine, 1973. "Futures Trading and Investor Returns: An Investigation of Commodity Market Risk Premiums," Journal of Political Economy, University of Chicago Press, vol. 81(6), pages 1387-1406, Nov.-Dec..
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