Long histories of returns are needed but often lacking when estimating the equity premium. This paper studies stock return predictability from the perspective of a Bayesian investor who has access to international data. Learning across countries arises whenever this investor believes that...

The present paper endeavours to study the trading behaviour of foreign institutional investors (FIIs) and domestic institutional investors (DIIs) in Indian stock market. The study ascertains whether the purchase trade and sale trade behaviour of foreign institutional investors is different from...

We study the effect of country-specific noise on stock price comovement. Using a sample of dual-listed stocks, we show that the effect persists over time for some largest A-shares traded in China, but diminishes quickly for their H-shares traded in Hong Kong. We then examine whether the noise...

Practitioners and academics often consider IPO activity as a gauge of investor optimism and market valuation. This study investigates the cross-sectional implications of this concept at the country level. We use sorting and cross-sectional tests to examine linkages between past share issuance...

The Johansen cointegration testing and estimation procedure is applied to examine the relationships among the stock markets, government bond markets and credit bond markets of the US, UK, Europe and Japan over the period 1985M1:2002M4. Asset class relationships are examined with returns...

We study the role of the choice of a fundamental database on the portfolio returns of a set of 74 fundamental anomalies. We benchmark Compustat by comparing it to Datastream in the US and find systematic differences in the raw financial statements across the databases. These differences only...

This study examines the impacts of the US inflation rate on the bond prices of G7 countries across different maturities using inflation-induced equity market volatility (EMV) to better account for bond price determinants. The regression model, a GED-GARCH (1,1) procedure, is adopted to deal with...

We estimate the latent factors in high-dimensional panel non-Gaussian data using Higher-order multi-cumulant Factor Analysis (HFA). HFA consists of an eigenvalue ratio test to select the number of non-Gaussian factors and uses alternating regressions to estimate both Gaussian and non-Gaussian...

This paper provides a comprehensive analysis of stock return predictability in the Indian stock market by employing both the portfolio and cross-sectional regressions methods using the data from January 1994 and ending in December 2018. We find strong predictive power of size, cash-flow-to-price...

The purpose of this study is to assess the diversification benefits resulting from international asset allocation. In this study, we examine Capital Asset Pricing Model (CAPM) in its international context (ICAPM) using the monthly equity returns for 26 countries (18 developed and 8 emerging...