Study on realized volatility and CVaR forecasts and its applications in Chinese Stock market

Value-at-Risk (VaR), as a risk measure, has been widely accepted all over the world. However, VaR is not the best risk measure. VaR is not sub-additive. Moreover, it doesnt indicate the size of the potential loss. CVaR is the most attractive coherent risk measure and has been studied by many authors. In this paper, CVaR calculations are studied. In addition, the issue of volatility forecasting for CVaR calculations by using realized volatility is investigated. Realized volatility is a non- parametric measure of volatility and can be modeled and forecasted with usual time series models. Furthermore, realized volatility is based on high frequency financial data and can fully take advantage of the intraday information. Finally, empirical research is made in Chinese stock market.
Realized Volatility ARFIMA VaR CVaR
Guo Mingyuan ZhanXueli ZhangShiying
School of Management, Tianjin University, P.R.China, 300072 School of Economics, Beijing Wuzi University, P.R.China, 101149
国际会议
郑州
英文
2008-09-20(万方平台首次上网日期,不代表论文的发表时间)