Forecasting financial market volatility: Sample frequency vis-à-vis forecast horizon
This paper explores the return volatility predictability inherent in high-frequency speculative returns. Our analysis focuses on a refinement of the more traditional volatility measures, the integrated volatility, which links the notion of volatility more directly to the return variance over the relevant horizon. In our empirical analysis of the foreign exchange market the integrated volatility is conveniently approximated by a cumulative sum of the squared intraday returns. Forecast horizons ranging from short intraday to 1-month intervals are investigated. We document that standard volatility models generally provide good forecasts of this economically relevant volatility measure. Moreover, the use of high-frequency returns significantly improves the longer run interdaily volatility forecasts, both in theory and practice. The results are thus directly relevant for general research methodology as well as industry applications.
Duke Scholars
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- Finance
- 3801 Applied economics
- 3502 Banking, finance and investment
- 1502 Banking, Finance and Investment
- 1403 Econometrics
- 1402 Applied Economics
Citation
Published In
DOI
ISSN
Publication Date
Volume
Issue
Start / End Page
Related Subject Headings
- Finance
- 3801 Applied economics
- 3502 Banking, finance and investment
- 1502 Banking, Finance and Investment
- 1403 Econometrics
- 1402 Applied Economics