Publication Type

Master Thesis

Publication Date

2007

Abstract

By decomposing close to close returns into close to open returns (overnight returns) and open to close returns (daytime returns), we test the predictability of overnight information, which is captured by absolute values of close to open returns, on daytime return volatility. Applying the stochastic volatility model, we find that overnight price changes contain important information to predict daytime volatility. The predictive power is highest at market opening and declines gradually over the trading day. Moreover, the predictive power is higher for inactive traded stocks than for actively traded stocks.

Keywords

inactive stocks, overnight information shocks, return on investment, securities analysis, stock exchanges

Degree Awarded

MSc in Finance

Discipline

Portfolio and Security Analysis

Supervisor(s)

WU, Chunchi

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