Książka Essays on Using High-Frequency Data in Empirical Asset Pricing Models Qianqiu Liu

Essays on Using High-Frequency Data in Empirical Asset Pricing Models

Application of High-Frequency Data in Finance

Autor: Qianqiu Liu
Język: Angielski
Oprawa: Miękka
Wydawca: VDM Verlag
Dostępność: Dostępna u dostawcy
Wysyłamy za 14-21 dni
259.32
This dissertation explores using high-frequency data in empirical asset pricing models. It includes...

Informacje o książce

Autor
Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2009
strony
128
EAN
9783639222265
ISBN
3639222261
Enbook ID
06830056
Wydawca
Waga
200
Wymiary
152 x 229 x 8

Pełny opis

This dissertation explores using high-frequency data in empirical asset pricing models. It includes three chapters. The first chapter provides a survey on the use, analysis, and application of high-frequency data. I concentrate on the research using intraday observations on volatility measurement and forecast evaluation, especially after the realized volatility approach introduced by Andersen and Bollerslev (1998). The second chapter explores how to estimate betas from high-frequency data. I extend the market model and construct a consistent estimator of the security beta based on lead, lag and contemporaneous betas from intraday returns. In the third chapter, I consider the problem faced by a professional investment manager who wants to track the return of the S&P 500 index with 30 DJIA stocks. I investigate that under which circumstances, there is benefit in using high-frequency returns, rather than daily returns to estimate the conditional covariance matrix.

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