In order to explain cross-country differences in the effects of capital market liberalization, this paper proposes a model of international asset markets in which investors in different countries each face constraints on portfolio choice. The model demonstrates that liberalization, i.e. the...

This paper develops a new approach for variance trading. We show that the discretely-sampled realized variance can be robustly replicated under very general conditions, including when the price can jump. The replication strategy specifies the exact timing for rebalancing in the underlying. The...

Institutional investors' role in shareholder voting is among the most hotly debated subjects in corporate governance. Some argue that institutions lack adequate incentives to effectively monitor managers; others contend that the largest institutions have developed analytical resources that...

Currently financial stress test simulations that take into account multiple interacting contagion mechanisms are conditional on a specific, subjectively imposed stress-scenario. Eigenvalue-based approaches, in contrast, provide a scenario-independent measure of systemic stability, but only...

Generally, information provision and certification have been identified as the major economic functions of rating agencies. This paper analyzes whether the watchlistʺ (rating review) Instrument has extended the agencies' role towards a monitoring position, as proposed by Boot, Milbourn, and...

Generally, information provision and certification have been identified as the major economic functions of rating agencies. This paper analyzes whether the "watchlist" (rating review) instrument has extended the agencies' role towards a monitoring position, as proposed by Boot, Milbourn, and...

We examine the out-of-sample performance of 240 stock market anomalies enhanced by 49 machine learning algorithms and over 260 individually trained models across an international data sample of nearly 1.9 billion stock-month-anomaly observations from 1980 to 2019. We demonstrate significant...

We examine the value of analyst recommendations across 45 countries and 3.8 million firm-month observations from 1994 to 2019. Recommendation-based portfolio strategies lead to highly significant (insignificant) abnormal returns in international markets (in the U.S.). In line with...

We examine the impact of stock exchange trading rules and surveillance on the frequency and severity of suspected insider trading cases in 22 stock exchanges around the world over the period January 2003 through June 2011. Using new indices for market manipulation, insider trading, and...

We examine the impact of changes in market microstructure, particularly algorithmic trading (AT) and high frequency trading (HFT), on trade size across 24 stock exchanges around the world. Using colocation services as a proxy for AT and HFT, we find mixed results on the impact of AT and HFT on...