This paper casts the opportunity set hedging demand in terms of the certainty equivalent of wealth for an investor who considers both consumption and bequest motives and is constrained to invest his asset proportions of wealth in a convex set. We show that the hedge portfolio exactly balances...

This paper examines the information transmission between stocks and their corresponding deposit receipts (DRs) by collecting samples with good reputations and high liquidity in both markets. Using eight years of daily panel data from six cross-listed Taiwanese firms, our results show the...

In this paper we study Norwegian rights issues with focus on the announcement effects of raising seasoned equity. The abnormal returns at announcement in Norway are around −8% to −10% for rights issues, and this is much higher than what is found in other countries. The average...

Studies on real estate economics neglected the relationship between hedonic prices and capitalization rate, thus considering the hedonic models and the income approach as two separate and alternative appraisal methods. In this short theoretical paper we show that integration is possible and...

This article assesses the ability of flexible dynamic correlation specifications to improve asset allocation decisions. To that end, we use the recently proposed Rotated Dynamic Conditional Correlation (RDCC) model that enables the estimation of models with high degree of parameterization and...

In this study, we use panel cointegration methods to investigate the relationship between stock prices and earnings-per-share (EPS). Furthermore, we consider whether stock prices respond to EPS under the different level of growth rate of operating revenue. The empirical result indicated that the...

Gender differences in risk-taking and investment decisions have been widely documented in the financial markets. Utilizing trading information from individual investor brokerage accounts, this paper explores the effects of aging on gender differences in terms of portfolio turnover and returns....

This paper considers an environment where investors have limited knowledge of true systematic risks and therefore continuously re-estimate the forecasting model that they use to form expectations. Based on a parsimonious specification with learning and no conditioning information, I extract...

The frequency of financial market turmoil has been rising over the past two decades. While the incidence of market turmoil has increased, the performance of analysts during tumultuous times has not received much attention in the literature. This paper examines whether the accuracy of analyst...

We adapt a genetic-based learning classifier system to a forecast evaluation exercise by making its key parameters endogenous and taking into account the need of convergence of the learning algorithm, an issue usually neglected in the literature. Doing so, we find it hard for the algorithm to...