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Estimating Daily Volatility from Intraday Data

Author

Listed:
  • Bollen, B.
  • Kofman, P.

Abstract

This study proposes a new approach to the estimation of daily volatility. This approach is different ( in the sense of using all available intraday price data) and unbiased ( in the sense of accounting for the high levels of autocorrelation found in intraday price data).

Suggested Citation

  • Bollen, B. & Kofman, P., 1996. "Estimating Daily Volatility from Intraday Data," Monash Econometrics and Business Statistics Working Papers 13/96, Monash University, Department of Econometrics and Business Statistics.
    • Handle: RePEc:msh:ebswps:1996-13
    as

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    More about this item

    Keywords

    EVALUATION; STATISTICS;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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