使用VaR模型研究股指期货的基差风险：中国期货市场的证据
Using the VaR Model to Study Basis Risk in Stock Index Futures: Evidence from the Chinese Futures Market
DOI: 10.12677/ORF.2024.141043, PDF,   
作者: 陈文杰, 郑浩, 周天宝：上海理工大学能源与动力工程学院，上海
关键词: VaR模型；股指期货；基差风险；VaR Model； Stock Index Futures； Basis Risk
摘要: 本论文以沪深300期货指数为研究对象，探讨VaR-GARCH模型能否成为评估期货市场的有效工具。以往的研究结果主要集中在VaR模型和GARCH模型中的一个，很少有研究将两者联系起来。本论文的研究结果表明GARCH(1, 1)能以较高的精确度预测期货的波动性，这可以作为风险价值的输入值。此外，TGARCH模型的结果表明，负面信息比正面信息的影响更大，而使用EGARCH模型估计的风险价值都小于原始GARCH和TGARCH。
Abstract: This paper takes the CSI 300 futures index as the research object to explore whether the VaR-GARCH model can become an effective tool for evaluating the futures market. Previous research results have mainly focused on one of the VaR model and the GARCH model, and few studies have linked the two. The research results of this paper show that GARCH (1, 1) can predict future volatility with high accuracy, which can be used as an input value for risk value. In addition, the results of the TGARCH model show that negative information has a greater impact than positive information, and the values at risk estimated using the EGARCH model are smaller than the original GARCH and TGARCH.
文章引用：陈文杰, 郑浩, 周天宝. 使用VaR模型研究股指期货的基差风险：中国期货市场的证据[J]. 运筹与模糊学, 2024, 14(1): 456-473. https://doi.org/10.12677/ORF.2024.141043

参考文献

[1] Carter, C.A. (2007) Futures and Options Markets: An Introduction. Waveland Press.
[2] Chen, J. (2020) Index Futures. https://www.investopedia.com/terms/i/indexfutures.asp
[3] Chu, Q.C., Hsieh, W.-L.G. and Tse, Y. (1999) Price Discovery on the SandP 500 Index Markets: An Analysis of Spot Index, Index Futures, and SPDRs. Interna-tional Review of Financial Analysis, 8, 21-34. [Google Scholar] [CrossRef] 
[4] Booth, G.G., Lee, T.-H. and Tse, Y. (1996) International Linkages in Nikkei Stock Index Futures Markets. Pacific-Basin Finance Journal, 4, 59-76. [Google Scholar] [CrossRef] 
[5] Booth, G.G., So, R.W. and Tse, Y. (1999) Price Dis-covery in the German Equity Index Derivatives Markets. Journal of Futures Markets: Futures, Options, and Other Derivative Products, 19, 619-643. [Google Scholar] [CrossRef] 
[6] Ryoo, H.-J. and Smith, G. (2004) The Impact of Stock Index Futures on the Korean Stock Market. Applied Financial Economics, 14, 243-251. [Google Scholar] [CrossRef] 
[7] Roope, M. and Zurbruegg, R. (2002) The In-tra‐Day Price Discovery Process between the Singapore Exchange and Taiwan Futures Exchange. Journal of Futures Markets: Futures, Options, and Other Derivative Products, 22, 219-240. [Google Scholar] [CrossRef] 
[8] Hodgson, A., Masih, A. and Masih, R. (2003) Price Discovery between Informationally Linked Markets during Different Trading Phases. Journal of Financial Research, 26, 77-95. [Google Scholar] [CrossRef] 
[9] Darrat, A.F. and Zhong, M. (2002) Permanent and Transitory Driving Forces in the Asian‐Pacific Stock Markets. Financial Review, 37, 35-51. [Google Scholar] [CrossRef] 
[10] Sadorsky, P. (2006) Modeling and Forecasting Petroleum Fu-tures Volatility. Energy Economics, 28, 467-488. [Google Scholar] [CrossRef] 
[11] Agnolucci, P. (2009) Volatility in Crude Oil Futures: A Comparison of the Predictive Ability of GARCH and Implied Volatility Models. Energy Economics, 31, 316-321. [Google Scholar] [CrossRef] 
[12] Li, M. and Yang, L. (2013) Modeling the Volatility of Futures Return in Rubber and Oil—A Copula-Based GARCH Model Approach. Economic Modelling, 35, 576-581. [Google Scholar] [CrossRef] 
[13] Giot, P. (2003) The Information Content of Implied Volatility in Agricultural Commodity Markets. Journal of Futures Markets, 23, 441-454. [Google Scholar] [CrossRef] 
[14] Charfeddine, L. (2016) Breaks or Long Range Dependence in the En-ergy Futures Volatility: Out-of-Sample Forecasting and VaR Analysis. Economic Modelling, 53, 354-374. [Google Scholar] [CrossRef] 
[15] Dahl, R.E. (2017) A Study on Price Volatility in the Aquaculture Market Using Value-at-Risk (VaR). Aquaculture Economics and Management, 21, 125-143. [Google Scholar] [CrossRef] 
[16] Du, S., Tang, G. and Li, S. (2019) Risk Measurement of Chinese Stock Market Based on GARCH Model and Extreme Value Theory. Open Journal of Business and Man-agement, 7, 963-975. [Google Scholar] [CrossRef] 
[17] Zhang, C., Cheng, X.-J. and Wang, M.J.O.R. (2005) An Empirical Research in the Stock Market of Shanghai by GARCH Model. Operations Research and Management Science, 4, 144-146.
[18] Suo, Y.-Y., Wang, D.-H. and Li, S.-P. (2015) Risk Estimation of CSI 300 Index Spot and Futures in China from a New Perspective. Economic Modelling, 49, 344-353. [Google Scholar] [CrossRef] 
[19] Ma, F., Zhang, L.-Y., Huang, X.-T. and Zou, K.-L. (2012) Empirical Study on CSI 300 Stock Index Futures’ Ratio and Hedging Effectiveness. Journal of Southwest Jiaotong University, 2, 22-26.
[20] Li, Y.-S., Li, A.-H. and Liu, Z.-D. (2018) Two Ways of Calculating VaR in Risk Man-agement—An Empirical Study Based on CSI 300 Index. Procedia Computer Science, 139, 432-439. [Google Scholar] [CrossRef] 
[21] Working, H. (1953) Futures Trading and Hedging. The American Economic Review, 43, 314-343.
[22] Haushalter, G.D. (2000) Financing Policy, Basis Risk, and Corpo-rate Hedging: Evidence from Oil and Gas Producers. The Journal of Finance, 55, 107-152. [Google Scholar] [CrossRef] 
[23] Anderson, R.W. and Danthine, J.-P. (1983) The Time Pattern of Hedging and the Volatility of Futures Prices. The Review of Economic Studies, 50, 249-266. [Google Scholar] [CrossRef] 
[24] Figlewski, S. (1984) Hedging Performance and Basis Risk in Stock Index Futures. The Journal of Finance, 39, 657-669. [Google Scholar] [CrossRef] 
[25] Wang, C.-W. and Wu, T.-Y. (2011) Futures and Futures Options with Basis Risk: Theoretical and Empirical Perspectives. Quantitative Finance, 11, 477-485. [Google Scholar] [CrossRef] 
[26] Gong, Q., Tang, Z. and Xu, B. (2021) Trading Behaviors on Knowledge of Price Discovery in Futures Markets. Journal of Innovation and Knowledge, 6, 191-195. [Google Scholar] [CrossRef] 
[27] Davis, M.H. (2006) Optimal Hedging with Basis Risk. In: Kabanov, Y., Liptser, R. and Stoyanov, J., Eds., From Stochastic Calculus to Mathematical Finance, Springer, Berlin, 169-187. [Google Scholar] [CrossRef] 
[28] Fernando, J. (2021) Consumer Price Index (CPI). https://www.investopedia.com/terms/c/consumerpriceindex.asp
[29] Hinkelmann, C. and Swidler, S. (2008) Trading House Price Risk with Existing Futures Contracts. The Journal of Real Estate Finance and Economics, 36, 37-52. [Google Scholar] [CrossRef] 
[30] Forson, J.A. and Janrattanagul, J. (2014) Selected Macroeconomic Variables and Stock Market Movements: Empirical Evidence from Thailand. Contemporary Eco-nomics, 8, 154-174. [Google Scholar] [CrossRef] 
[31] Jennings, W.W. (2006) Disaggregated TIPS: The Case for Disaggregating Inflation-Linked Bonds into Bonds Linked to Narrower CPI Components Slicing and Dicing TIPS. Journal of Pension Economics Finance, 5, 325-343. [Google Scholar] [CrossRef] 
[32] Chen, X.C. and Qiao, H. (2013) Research on CPI Compi-lation with Scanner Data. Statistical Research, 30, 23-30.
[33] Lee, J.-P. and Yu, M.-T. (2002) Pricing Default-Risky CAT Bonds with Moral Hazard and Basis Risk. The Journal of Risk and Insurance, 69, 25-44. [Google Scholar] [CrossRef] 
[34] Bi, H. (2012) Sovereign Default Risk Premia, Fiscal Limits, and Fiscal Policy. European Economic Review, 56, 389-410. [Google Scholar] [CrossRef] 
[35] Driffill, J., Rotondi, Z., Savona, P. and Zazzara, C. (2006) Monetary Policy and Financial Stability: What Role for the Futures Market? Journal of Financial Stability, 2, 95-112. [Google Scholar] [CrossRef] 
[36] Giordano, R., Momigliano, S., Neri, S. and Perotti, R. (2007) The Effects of Fiscal Policy in Italy: Evidence from a VAR Model. European Journal of Political Economy, 23, 707-733. [Google Scholar] [CrossRef] 
[37] Shafi, M. (2014) Determinants Influencing Individual Investor Behavior in Stock Market: A Cross Country Research Survey. Nigerian Chapter of Arabian Journal of Business Management Review, 62, 1-12. [Google Scholar] [CrossRef] 
[38] Wu, B. (2020) Investor Behavior and Risk Contagion in an Infor-mation-Based Artificial Stock Market. IEEE Access, 8, 126725-126732. [Google Scholar] [CrossRef] 
[39] Briys, E., Crouhy, M. and Schlesinger, H. (1993) Optimal Hedging in a Futures Market with Background Noise and Basis Risk. European Economic Review, 37, 949-960. [Google Scholar] [CrossRef] 
[40] Cummins, J.D., Lalonde, D. and Phillips, R.D. (2004) The Basis Risk of Catastrophic-Loss Index Securities. Journal of Financial Economics, 71, 77-111. [Google Scholar] [CrossRef] 
[41] Shao, J., Papaioannou, A.D. and Pantelous, A.A. (2017) Pricing and Simulating Catastrophe Risk Bonds in a Markov-Dependent Environment. Applied Mathematics and Computation, 309, 68-84. [Google Scholar] [CrossRef] 
[42] Hull, J.C. (2003) Options Futures and Other Derivatives. Pearson Education India, Noida.
[43] Kolb, R.W. (1996) The Systematic Risk of Futures Contracts. The Journal of Futures Markets (1986-1998), 16, 631-654. [Google Scholar] [CrossRef] 
[44] Bessembinder, H. (1992) Systematic Risk, Hedging Pressure, and Risk Premiums in Futures Markets. The Review of Financial Studies, 5, 637-667. [Google Scholar] [CrossRef] 
[45] Liu, Y.-F. and Song, F.-T. (2006) An Empirical Analysis on the Basis of VaR Method for the Risk of the Opened Fund. Journal of East China University of Science Tech-nology, 2, 34-39.
[46] Jorion, P. (2000) Value at Risk.
[47] Tang, T.-L. and Shieh, S.-J. (2006) Long Memory in Stock Index Futures Markets: A Value-at-Risk Approach. Physica A: Statistical Mechanics and Its Applications, 366, 437-448. [Google Scholar] [CrossRef] 
[48] Engle, R.F. (1982) Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation. Econometrica, 50, 987-1007. [Google Scholar] [CrossRef] 
[49] Bollerslev, T. (1986) Generalized Autoregressive Conditional Het-eroskedasticity. Journal of Econometrics, 31, 307-327. [Google Scholar] [CrossRef] 
[50] Hwang, S. and Satchell, S.E. (2005) GARCH Model with Cross-Sectional Volatility: GARCHX Models. Applied Financial Economics, 15, 203-216. [Google Scholar] [CrossRef] 
[51] Zakoian, J.-M. (1994) Threshold Heteroskedastic Models. Journal of Economic Dynamics and Control, 18, 931-955.
[52] Nelson, D.B. (1991) Conditional Heteroskedasticity in Asset Returns: A New Approach. Econometrica, 59, 347-370. [Google Scholar] [CrossRef] 
[53] Antoniou, A. and Holmes, P. (1995) Futures Trading, Information and Spot Price Volatility: Evidence for the FTSE-100 Stock Index Futures Contract Using GARCH. Journal of Banking and Finance, 19, 117-129. [Google Scholar] [CrossRef] 
[54] Li, S. (2015) Volatility Spillovers in the CSI300 Futures and Spot Markets in China: Empirical Study Based on Discrete Wavelet Transform and VAR-BEKK-Bivariate GARCH Model. Procedia Computer Science, 55, 380-387. [Google Scholar] [CrossRef] 
[55] Zhang, X. (2019) Research on CSI 300 Index Volatility Based on GARCH Model. 2019 12th International Conference on Intelligent Computation Technology and Auto-mation (ICICTA), Xiangtan, 26-27 October 2019, 77-80. [Google Scholar] [CrossRef] 
[56] Manqiu, S. and Shancun, L. (2018) Study on the Volatility Stylize of Shanghai and Shenzhen 300 Index Using GARCH. 2018 Chinese Control and Decision Con-ference (CCDC), Shenyang, 9-11 June 2018, 3191-3195. [Google Scholar] [CrossRef] 
[57] Chen, Q. and Gong, Y. (2019) The Economic Sources of China’s CSI 300 Spot and Futures Volatilities before and after the 2015 Stock Market Crisis. International Review of Economics and Finance, 64, 102-121. [Google Scholar] [CrossRef] 
[58] Ali, F. and Parisa, M. (2011) Examination of Crude Oil Prices Relationship in Spot and Futures Markets Based on the Basis Risk and Crude Oil Inventory: Using GARCH Model. Journal of Economic Modeling Research, 10, 75-102.
[59] Moschini, G. and Myers, R.J. (2002) Testing for Con-stant Hedge Ratios in Commodity Markets: A Multivariate GARCH Approach. Journal of Empirical Finance, 9, 589-603. [Google Scholar] [CrossRef] 
[60] Jarque, C.M. and Bera, A.K. (1987) A Test for Normality of Observations and Regression Residuals. International Statistical Review, 55, 163-172. [Google Scholar] [CrossRef] 
[61] Cheung, Y.-W. and Lai, K.S. (1995) Lag Order and Critical Values of the Augmented Dickey—Fuller Test. Journal of Business and Economic Statistics, 13, 277-280. [Google Scholar] [CrossRef] 
[62] Harris, R.I.D. (1992) Testing for Unit Roots Using the Augmented Dickey-Fuller Test: Some Issues Relating to the Size, Power and the Lag Structure of the Test. Economics Letters, 38, 381-386. [Google Scholar] [CrossRef] 
[63] Harvey, A., Ruiz, E. and Sentana, E. (1992) Unobserved Component Time Series Models with Arch Disturbances. Journal of Econometrics, 52, 129-157. [Google Scholar] [CrossRef] 
[64] Duchesne, P. and Lalancette, S. (2003) on Testing for Multivariate ARCH Effects in Vector Time Series Models. Canadian Journal of Statistics, 31, 275-292. [Google Scholar] [CrossRef] 
[65] Orcutt, G.H. and James, S.F. (1948) Testing the Significance of Corre-lation between Time Series. Biometrika, 35, 397-413. [Google Scholar] [CrossRef] 
[66] Zhou, W., Pan, J. and Wu, X. (2019) Forecasting the Realized Volatility of CSI 300. Physica A: Statistical Mechanics and Its Applications, 531, Article ID: 121799. [Google Scholar] [CrossRef] 
[67] Li, Y. and Xiang, Y. (2017) The Accumulation of Index Futures Basis Risk and Its Information Transmission Effect. 2017 Interna-tional Conference on Humanities Science, Management and Education Technology (HSMET 2017), Taiyuan, 25-26 February 2017, 1115-1120. [Google Scholar] [CrossRef] 
[68] Wang, P. and Wang, P. (2001) Equilibrium Adjustment, Basis Risk and Risk Transmission in Spot and Forward Foreign Exchange Markets. Applied Financial Economics, 11, 127-136. [Google Scholar] [CrossRef] 
[69] Wei, Y., Wang, Y. and Huang, D. (2011) A Copula-Multifractal Volatility Hedging Model for CSI 300 Index Futures. Physica A: Statistical Mechanics and Its Applications, 390, 4260-4272. [Google Scholar] [CrossRef] 
[70] Lehar, A., Scheicher, M. and Schittenkopf, C. (2002) GARCH vs. Stochastic Volatility: Option Pricing and Risk Management. Journal of Banking and Finance, 26, 323-345. [Google Scholar] [CrossRef] 
[71] Liu, X.X., He, J.M. and Liu, Q.F. (2005) Volatility Analysis of Shenzheng Stock Market Based on VaR-EGARCH (1,1)-GED Model. Nankai Business Review, 8, 9-13.
[72] Huang, W., Luo, J., Qian, Y. and Zheng, Y. (2021) The Impact of Decreased Margin Requirements on Futures Markets: Evidence from CSI 300 Index Futures. Emerging Markets Finance and Trade, 57, 2052-2064. [Google Scholar] [CrossRef] 
[73] Li, Y. and Liu, C. (2021) Empirical Analysis about CSI 300 Stock Index Futures Based on GARCH-VaR Model. Proceedings of the 2012 3rd International Conference on E-Business and E-Government, Vol. 4, 421-425.
[74] Yao, J., Li, Z.-F. and Ng, K.W. (2006) Model Risk in VaR Estimation: An Empirical Study. International Journal of Information Technology and Decision Making, 5, 503-512. [Google Scholar] [CrossRef] 
[75] Lv, X., Dong, W. and Fang, F. (2015) The Asymmetric Effects of Official Interest Rate Changes on China’s Stock Market during Different Market Regimes. Emerging Markets Finance and Trade, 51, 826-841. [Google Scholar] [CrossRef] 

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