JFRM  Vol.3 No.4 , December 2014
Quantitative Risk Analysis of the Futures Company’s Own Business Based on VaR Model
Abstract: In this paper, we use the futures exchange copper trading data of Shanghai as a sample for the VaR quantitative analysis. Through empirical analysis, the results showed that VaR method based on GARCH model can be a good fit in the insurance value of copper futures. Therefore, we can consider it as an important means of futures risk management in our country, and with reference t to establish corresponding risk warning system.
Cite this paper: Len, J. F., Gao, X., & Jia, G. R. (2014) Quantitative Risk Analysis of the Futures Company’s Own Business Based on VaR Model. Journal of Financial Risk Management, 3, 143-150. doi: 10.4236/jfrm.2014.34012.

[1]   Cuoco, He, & Issaenko (2001). Foundations of Risk Measurement. Encyclopedia of Statistical Sciences, 8, 485-495.

[2]   Ding, Z.X., et al. (1993). A Long Memory Property of Stock Market Returns and a New Model. Journal of Empirical Finance, 1, 83-106.

[3]   Ederington, H. L. (1994). The Hedging Performance of the New Futures Markets. The Journal of Finance, 34, 157-170.

[4]   Hu, G. J. (1999). Introduction to Securities Companies Risk Management. Shanghai: Fudan University Press.

[5]   Jorion, P. (2005). How Investment Bankers Determine the Offer Price and Allocation of New Issues. Journal of Finance Economics, 23, 43-162.

[6]   Khindanova, Rachev, & Schwartz (1999). A Theory of Perceived Risk and Attractiveness. Organizational Behavior and Human Decision Processes, 52, 92-98.

[7]   Kupiec, P. (1995). Techniques for Verifying the Accuracy of Risk Measurement Models. Journal of Derivatives, 3, 73-84.

[8]   Li, J.N. (2005). Securities Companies Risk Management Research. Nanjing: Nanjing Agricultural University.

[9]   Nelson, D. (1990). ARCH Models as Diffusion Approximations. Journal of Econometrics, 31, 307-327

[10]   Yao, X. Y., Teng, H. W., & Chen, C. (2002). The Size Risk Control of the Asset Management Business. The Number of Economic and Technical Economic Research, 5, 65-67.

[11]   Zakoian, J. M. (1990). Threshold Heteroskedastic Model. Journal of Economic Dynamics and Control, 18, 931-955.