Modelling of conditional volatilities and correlations across asset returns is an integral part of portfolio decision making and risk management. Over the past three decades there has been a trend towards increased asset return correlations across markets, a trend which has been accentuated...

We reexamine long-term abnormal returns for portfolios sorted on governance characteristics. Firms with strong shareholder rights and firms with weak shareholder rights differ from the population of firms and from each other in how they cluster across industries. Using well-specified tests under...

This paper examines stapled and traditional A-REITs, and their long-run relationships to common stocks, bonds, direct commercial real estate investments, and changes to consumer price inflation from December 1979 to June 2009. Stapled and traditional A-REIT indices are constructed from a sample...

In this paper, we use multivariate GARCH models to analyze dynamic linkages between gold and equity price returns. We model dynamic conditional correlations and volatility spillovers between these assets. Our results indicate that spot gold can be an effective hedge against stock prices. A $1...

We seek fundamental risks from news text. Conceptually, news is closely related to the idea of systematic risk, in particular the "state variables" in the ICAPM. News captures investors' concerns about future investment opportunities, and hence drives the current pricing kernel. This paper...

Nowadays, modeling and forecasting the volatility of stock markets have become central to the practice of risk management; they have become one of the major topics in financial econometrics and they are principally and continuously used in the pricing of financial assets and the Value at Risk,...

This purpose of this paper is to present the expected equity returns for the Indian stock market for the benefit of investors, who may then compare such returns with actual market returns to evaluate whether the Indian stock market provides returns in excess of expectations. Both the capital...

This study predicts stock market volatility and applies them to the standard problem in finance, namely, asset allocation. Based on machine learning and model averaging approaches, we integrate the drivers’ predictive information to forecast market volatilities. Using various evaluation...

Modelling of conditional volatilities and correlations across asset returns is an integral part of portfolio decision making and risk management. Over the past three decades there has been a trend towards increased asset return correlations across markets, a trend which has been accentuated...