The usual measure of the undiversifiable risk of a portfolio is its beta. Recent research has allowed beta estimates to vary over time, often based on symmetric multivariate GARCH models. There is, however, widespread evidence in the literature that the volatilities of asset returns, in particular those from stock markets, show evidence of an asymmetric response to good and bad news. Using UK equity index data,, this paper considers the impact of news on time varying measures of beta. The results suggest that beta depends on two sources of news- news about the market and news about the sector. The asymmetric effect in beta is consistent across all sectors considered. Recent research provides conflicting evidence as to whether abnormalities ...
© 2017 The Author(s)This study investigates the role of time-varying betas, event-induced variance a...
The degree of co-movement signals the stock’s systematic risk, write Michela Verardo and Andrew Patt...
I use uniquely comprehensive data on financial news events to test four predictions from an asymmetr...
Using UK equity index data, this paper considers the impact of news on time varying measures of bet...
The usual measure of the undiversifiable risk of a portfolio is its beta. Recent research has allowe...
This paper investigates the effect of bad or good news (asymmetric effect) on the time-varying beta ...
This article uses a direct test of the impact of economic news on stock volatility. The main interes...
This paper examines the hypothesis that both stock returns and volatility are asymmetrical functions...
This paper investigates the effect of good or bad news (the asymmetric effect) on the time-varying b...
This paper shows that the systematic risk (or 'beta') of individual stocks increases by an economica...
We propose that covariance (rather than beta) asymmetry provides a superior framework for examining ...
This paper examines the hypothesis that both stock returns and volatility are asymmetric functions o...
The seminal study by Fama and MacBeth in 1973 initiated a stream of papers testing for the cross-sec...
I use uniquely comprehensive data on financial news events to test four predictions from an asymmetr...
The seminal study by Fama and MacBeth (1973) initiated a stream of papers testing for the cross-sect...
© 2017 The Author(s)This study investigates the role of time-varying betas, event-induced variance a...
The degree of co-movement signals the stock’s systematic risk, write Michela Verardo and Andrew Patt...
I use uniquely comprehensive data on financial news events to test four predictions from an asymmetr...
Using UK equity index data, this paper considers the impact of news on time varying measures of bet...
The usual measure of the undiversifiable risk of a portfolio is its beta. Recent research has allowe...
This paper investigates the effect of bad or good news (asymmetric effect) on the time-varying beta ...
This article uses a direct test of the impact of economic news on stock volatility. The main interes...
This paper examines the hypothesis that both stock returns and volatility are asymmetrical functions...
This paper investigates the effect of good or bad news (the asymmetric effect) on the time-varying b...
This paper shows that the systematic risk (or 'beta') of individual stocks increases by an economica...
We propose that covariance (rather than beta) asymmetry provides a superior framework for examining ...
This paper examines the hypothesis that both stock returns and volatility are asymmetric functions o...
The seminal study by Fama and MacBeth in 1973 initiated a stream of papers testing for the cross-sec...
I use uniquely comprehensive data on financial news events to test four predictions from an asymmetr...
The seminal study by Fama and MacBeth (1973) initiated a stream of papers testing for the cross-sect...
© 2017 The Author(s)This study investigates the role of time-varying betas, event-induced variance a...
The degree of co-movement signals the stock’s systematic risk, write Michela Verardo and Andrew Patt...
I use uniquely comprehensive data on financial news events to test four predictions from an asymmetr...