Abstract

The futures transaction of bulk commodity has played an important role since China became the global manufacturing center. Taking the commodity futures market in Shanghai as the research objective, this article selects the price of silver futures, uses GARCH-VaR and Stress Testing to measure the risk tolerance of the market. The research result shows the silver price is fluctuated within the scope specified by the market and won't influence the stable operation of futures market. With the economic development, China has become the global manufacturing center. The trade volume of bulk commodity in China is increasing on a daily basis, and the status of Chinese futures market is growing rapidly in the global futures market. Futures market, similar to other financial market (such as stock market and foreign exchange market), faces a huge market risk. The key to study the dynamic risk transaction effect of the futures exchange lies in the ability to accurately measure the risks in the futures market. Therefore, we will explore the risk measurement for the futures market of bulk commodity in China. Currently, the financial risk measurement mostly uses VaR (Value at Risk) method produced by J.P.Morgan to estimate the risks.

Highlights

  • With the economic development, China has become the global manufacturing center

  • Group issued a report named Practice and Rules of Derivatives based on the research on derivative varieties, and proposed a VaR model for market risk measurement

  • VaR ZDVt Pt 1 to calculate the daily value of VaR, and select D 0.05 and ZD 1.65 there of. [5] Calculation of VaR value for futures income and inspection of its result

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Summary

Overview of VaR model

VaR refers to a method for an overall measurement of the market risks that takes the probability and mathematical statistics as the measurement basis and takes the actual market factors into account. Jorion’s(1996) standard definition of VaR was: giving the worst expected loss of assets in a certain confidence interval in a holding period. It is presented in a mathematic expression as: 9D5 The normal distribution VaR is relatively easy to be calculated, and the assets risk may be presented using the quantitative currency price, making it convenient for regular investors to control the risk. It became popular once it was released. The normal distribution VaR is only applicable for the rough management of assets risks

GARCH model
Data selection and statistical inspection
Conclusion
Findings
Stress testing for silver main contract
Full Text
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