G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/t0132
来源IDTechnical Working Paper 0132
Filtering and Forecasting with Misspecified Arch Models II: Making the Right Forecast with the Wrong Model
Daniel B. Nelson; Dean P. Foster
发表日期1992-12-01
出版年1992
语种英语
摘要A companion paper (Nelson (1992)) showed that in data observed at high frequencies, an ARCH model may do a good job at estimating conditional variances, even when the ARCH model is severely misspecified. While such models may perform reasonably well at filtering (i.e., at estimating unobserved instantaneous conditional variances) they may perform disastrously at medium and long term forecasting. In this paper, we develop conditions under which a misspecified ARCH model successfully performs both tasks, filtering and forecasting. The key requirement (in addition to the conditions for consistent filtering) is that the ARCH model correctly specifies the functional form of the first two conditional moments of all state variables. We apply these results to a diffusion model employed in the options pricing literature, the stochastic volatility model of Hull and White (1987), Scott (1987), and Wiggins (1987).
主题Econometrics ; Estimation Methods
URLhttps://www.nber.org/papers/t0132
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/561579
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Daniel B. Nelson,Dean P. Foster. Filtering and Forecasting with Misspecified Arch Models II: Making the Right Forecast with the Wrong Model. 1992.
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