We revisit the risk-return relation using the component GARCH model and international daily MSCI stock market data. In contrast with the previous evidence obtained from weekly and monthly data, daily data show that the relation is positive in almost all markets and often statistically significant. Likelihood ratio tests reject the standard GARCH model in favor of the component GARCH model, which strengthens the evidence for a positive risk-return tradeoff. Consistent with U.S. evidence, the long-run component of volatility is a more important determinant of the conditional equity premium than the short-run component for most international markets.Stock exchanges ; Securities
This paper examines the intertemporal relation between risk and return for the aggregate stock marke...
104 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001.The third essay analyzes empi...
There is a significant foreign influence on the risk premium for US. assets. Using a bivariate GARCH...
Daily data and component GARCH (CGARCH) models strongly support a positive risk-return relation, in ...
We investigate the risk-return relation in international stock markets using realized variance const...
In this paper, we study the risk-return relationship in monthly U.S. stock returns (1928:1— 2004:12)...
Correlation, volatility, and covariance are three important metrics of financial risk. They are key ...
We study international asset pricing in a large-dimensional multivariate GARCH-in-mean framework. We...
In this paper we examine the sensitivity of stock returns to market, interest rate, and exchange rat...
This paper explores the intertemporal relationship between the expected return and risk in Chinese e...
We investigate the time-variation of the cross-sectional distribution of asymmetric GARCH model para...
The literature has so far focused on the risk-return tradeoff in equity markets and ignored alternat...
This paper shows how the dependency of time-varying conditional crosscorrelation on prevailing marke...
This paper analyzes the risk-return trade-off in European equities considering both temporal and cro...
This paper provides new evidence on the positive risk-return tradeoff in the Thai stock market using...
This paper examines the intertemporal relation between risk and return for the aggregate stock marke...
104 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001.The third essay analyzes empi...
There is a significant foreign influence on the risk premium for US. assets. Using a bivariate GARCH...
Daily data and component GARCH (CGARCH) models strongly support a positive risk-return relation, in ...
We investigate the risk-return relation in international stock markets using realized variance const...
In this paper, we study the risk-return relationship in monthly U.S. stock returns (1928:1— 2004:12)...
Correlation, volatility, and covariance are three important metrics of financial risk. They are key ...
We study international asset pricing in a large-dimensional multivariate GARCH-in-mean framework. We...
In this paper we examine the sensitivity of stock returns to market, interest rate, and exchange rat...
This paper explores the intertemporal relationship between the expected return and risk in Chinese e...
We investigate the time-variation of the cross-sectional distribution of asymmetric GARCH model para...
The literature has so far focused on the risk-return tradeoff in equity markets and ignored alternat...
This paper shows how the dependency of time-varying conditional crosscorrelation on prevailing marke...
This paper analyzes the risk-return trade-off in European equities considering both temporal and cro...
This paper provides new evidence on the positive risk-return tradeoff in the Thai stock market using...
This paper examines the intertemporal relation between risk and return for the aggregate stock marke...
104 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001.The third essay analyzes empi...
There is a significant foreign influence on the risk premium for US. assets. Using a bivariate GARCH...