## Abstract In this paper we model Value‐at‐Risk (VaR) for daily asset returns using a collection of parametric univariate and multivariate models of the ARCH class based on the skewed Student distribution. We show that models that rely on a symmetric density distribution for the error term underpe
Dynamic trading value at risk: Futures floor trading
✍ Scribed by Jongdoo Lee; Peter Locke
- Publisher
- John Wiley and Sons
- Year
- 2006
- Tongue
- English
- Weight
- 151 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0270-7314
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✦ Synopsis
Abstract
Speculative traders' dynamic trading strategies are not easy to model, because they depend on latent information flows and preferences. As a result, the risks involved in such strategies may only be revealed by examining empirical distributions of ex post returns to traders engaged in speculative activities. The authors' comprehensive data from futures floor trader's proprietary trading allows for an empirical examination of one prominent type of speculative trader risk. It is shown that floor trader “value at risk” can be predicted somewhat, using simple market variables such as volume and volatility. Although some predictability for the crosssectional distribution of floor trader income, and hence risk was found, not much was determined in terms of trader‐specific characteristics. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:1217–1234, 2006
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