Abstract
This paper aims to estimate the dependency between spot rubber price and futures prices using the copula-extreme value theory based on semi-parametric approaches, which combine copula functions with the conditional extreme value theory to construct the dependence models. The C-EVT model is used to estimate the marginal distributions of the returns of rubber spot price and futures prices that enable the model’s flexibility for the tail behavior. Both static and time-varying copulas are applied to construct the dependence structure between the returns of the rubber spot price and the futures prices. The empirical results showed weak spotfutures dependence between the spot rubber price and the futures prices of Thai markets, implying that we could not accept the efficient market hypothesis. However, we found symmetric tail dependence between the spot rubber price and the futures prices of the Singapore, Tokyo, and Shanghai markets. This means that cash rubber price is do minated by the futures prices of the Singapore, Tokyo, and Shanghai markets. The best-fitting dependence models are the time-varying t-copulas, but the tail dependence for all pairs is relatively low. This result means that the futures prices are weak in explaining the changes in spot prices under extreme events.
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References
WFE, IOMA. IOMA/IOCA Derivatives Market Survey 2010. World Federation of Exchanges (2011)
Yang, J., Bessler, D.A., Leatham, D.J.: Asset storability and price discovery in commodity futures markets: A new look. Journal of Futures Markets 21(3), 279–300 (2001)
Kaur, G., Rao, D.N.: Do the Spot Prices Influence the Pricing of Future Contracts? An Empirical Study of Price Volatility of Future Contracts of Select Agricultural Commodities Traded on NCDEX, India (2009), http://dx.doi.org/10.2139/ssrn.1469700
Hernandez, M., Torero, M.: Examining the dynamic relation between spot and futures prices of agricultural commodities. Commodity Market Review. FAO, Rome (2010)
Chang, C.L., Khamkaew, T., McAleer, M., et al.: Modelling conditional correlations in the volatility of Asian rubber spot and futures returns. Mathematics and Computers in Simulation 81(7), 1482–1490 (2011)
Kuiper, W.E., Pennings, J.M.E., Meulenberg, M.T.G.: Identification by full adjustment: evidence from the relationship between futures and spots prices. European Review of Agricultural Economics 29, 67–84 (2002)
Mohan, S., Love, J.: Coffee futures: role in reducing coffee producers’ price risk. Journal of International Development 16(7), 983–1002 (2002)
Wang, H.H., Ke, B.: Efficiency tests of agricultural commodity futures markets in China. The Australian Journal of Agricultural and Resource Economics 49, 125–141 (2005)
Sriboonchitta, S., Nguyen, H.T., Wiboonpongse, A., et al.: Modeling volatility and dependency of agricultural price and production indices of Thailand: Static versus time-varying copulas. International Journal of Approximate Reasoning 54(6), 793–808 (2013)
Nguyen, C.C., Bhatti, M.I.: Copula model dependency between oil prices and stock markets: Evidence from China and Vietnam. Journal of International Financial Markets, Institutions and Money 22(4), 758–773 (2012)
Patton, A.J.: Modelling asymmetric exchange rate dependence. International Economic Review 47(2), 527–556 (2006)
Glosten, L.R., Jagannathan, R., Runkle, D.E.: On the Relation between Expected Value and the Volatility of the Nominal Excess Return on Stocks. The Journal of Finance 48, 1779–1801 (1993)
McNeil, A.J., Frey, R., Embrechts, P.: Quantitative Risk Management: Concepts, Techniques and Tools. Princeton University Press (2005)
Hsu, C.P., Huang, C.W., Chiou, W.J.: Effectiveness of copula-extreme value theory in estimating value-at-risk: empirical evidence from Asian emerging markets. Rev. Quant. Finan. Acc. 39(4), 447–468 (2012)
Brechmann, E.C.: Truncated and simplied regular vines and their applications. Technische Universitaet Muenchen (2010)
Bhatti, M.I., Nguyen, C.C.: Diversification evidence from international equity markets using extreme values and stochastic copulas. Journal of International Financial Markets, Institutions and Money 22(3), 622–646 (2012)
Genest, C., Rémillard, B., Beaudoin, D.: Goodness-of-fit tests for copulas: A review and a power study. Insurance: Mathematics and Economics 44(2), 199–213 (2009)
McNeil, A.J., Frey, R.: Estimation of tail-related risk measures for heteroscedastic financial time series: an extreme value approach. Journal of Empirical Finance 7(3-4), 271–300 (2000)
Fernandez, V.: Extreme value theory and value at risk. Revista de Analisis Economico 18(1), 86–102 (2003)
Diebold, F.X., Gunther, T.A., Tay, A.S.: Evaluating Density Forecasts with Applications to Financial Risk Management. International Economic Review 39(4), 863–883 (1998)
Siamwalla, A., Pomlaktong, N., Panpiemras, J., et al.: Evaluation of the success in the establishment of the Agricultural Futures Exchange of Thailand. Agricultural Futures Trading Commission, Thailand (2007)
Garcia, P., Irwin, S.H., Smith, A.: Futures Market Failure (2011), http://dx.doi.org/10.2139/ssrn.1950262
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Boonyanuphong, P., Sriboonchitta, S. (2014). An Analysis of Volatility and Dependence between Rubber Spot and Futures Prices Using Copula-Extreme Value Theory. In: Huynh, VN., Kreinovich, V., Sriboonchitta, S. (eds) Modeling Dependence in Econometrics. Advances in Intelligent Systems and Computing, vol 251. Springer, Cham. https://doi.org/10.1007/978-3-319-03395-2_27
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DOI: https://doi.org/10.1007/978-3-319-03395-2_27
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03394-5
Online ISBN: 978-3-319-03395-2
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