This paper investigates the impact of ESG divestments on the share prices of listed equities. The study employs a two-fold approach: (i) an event study analyzing divestment announcements and (ii) a panel regression covering a longer divestment period, considering the actual purchase/sale of...

This paper investigates the impact of ESG divestments on the share prices of listed equities. The study employs a two-fold approach: (i) an event study analyzing divestment announcements and (ii) a panel regression covering a longer divestment period, considering the actual purchase/sale of...

The decision process of an investor who must screen information of varying quality in a stock market with heterogeneous investors leads to new dimensions to consider in the risk-return space. More volatile forecast errors make it more difficult to properly form expectations from forecasts....

Evidence suggests that arbitragers exchange investment ideas. We analyze why and under what circumstances sharing occurs. Our model suggests that sharing ideas will lead to the following: more efficient asset prices, larger arbitrager profits, and correlated arbitrager returns. We predict that...

À l’origine de cette thèse se trouve la question suivante : « Qu’est-ce qui rend possible et justifie que les licenciements économiques soient de plus en plus nombreux dans les entreprises en bonne santé ? » Autrement dit : « en quoi les décisions de licenciement sont-elles des...

Using the CEM pension fund data set, we document the cost structure and performance of a large sample of US pension funds. To date, self-reporting biases and a deficiency of comprehensive return and cost data have severely hindered pension fund performance studies. The bias-free CEM dataset...

Portfolio traders may split large orders into smaller orders scheduled over time to reduce price impact. Since handling many orders is cumbersome, these smaller orders are often traded in an automated (“algorithmic”) manner. We propose metrics using these orders to help measure various...

Portfolio traders may split large orders into smaller orders scheduled over time to reduce price impact. Since handling many orders is cumbersome, these smaller orders are often traded in an automated (“algorithmic”) manner. We propose metrics using these orders to help measure various...

This paper analyses the intraday co-movements between returns on several commodity markets and on the stock market in the United States over the 1997-2011 period. By exploiting a new high frequency database, we compute various rolling correlations at (i) 1-hour, (ii) 5-minute, (iii) 10-second,...

This study assesses the relative performance of Greek equity funds employing a non-parametric method, namely Data Envelopment Analysis (DEA). Specifically, we evaluate the funds’ total productivity change using the DEA-based Malmquist Index. Our results reveal significant losses in funds’...