Signaling theories of the pricing of initial public offerings are based on an equilibrium which separates high from low quality companies. In empirically testing these theories one issue which needs addressing is how to identify high and low quality companies. This paper develops a new test of...

Contributing to the debate on the nominal price puzzle, we show that higher stock price level is associated with lower noise trading level which confirms Black's (1986) conjectures that noise traders prefer low-priced stocks to high-priced stocks. The result is robust after controlling for...

Why do firms manage their stock price levels? Building on the catering hypothesis and institutional investor preference literature, we propose a generalized catering hypothesis that managers cater their share price level to different types of investor (individual vs institutional) in order to...

"Experts Versus the Evidence: A Practical Guide to Stock Investing brings together the ideas and successes of experts and the potential of data to give readers the opportunity to learn from the best and to put their insights into practice. Readers will learn two important aspects of financial...

We study the information content of the mutual-fund investor mix at the fund level. Building on the fund-flow determinant literature, we develop a method to attribute the proportion of fund net-in-flow explained by a fund's fundamental characteristics and past performance as smart and dumb money...

We argue that arbitrageurs will strategically limit their initial investment in an arbitrage opportunity in anticipation of further mispricing caused by the deepening of noise traders' misperceptions. Such ‘noise momentum' is an important determinant of the overall arbitrage process. We design...

We investigate the agency costs of corporate ownership structure and the role of audit committees in mitigating their effect. Using China as a laboratory, where audit committees are voluntary, we study the demand for and value relevance of audit committees conditional on the various agency costs...

Using 278 economic and financial variables we study the power of machine learning (ML) in predicting the daily CBOE implied volatility index (VIX). Designing and applying an automated three-step ML framework with a large number of algorithms we identify Adaptive Boosting as the best...

We show that the cross-autocorrelation also exists in the global CDS markets and develop an econometric model to capture the global correlation structure. We study implications on the credit risk transmission and contagion risk. We find four main results: (i) credit risk transmission is through...