We develop a novel approach to identify characteristics of images that are likely to, and found to, affect investment decisions. We also create new methodologies to quantify these characteristics. We hypothesize and find that our newly developed machine learning-based measure of...

We develop a novel approach to identify characteristics of images that are likely to, and found to, affect investment decisions. We also create new methodologies to quantify these characteristics. We hypothesize and find that our newly developed machine learning-based measure of...

The paper investigates the effects of mark-to-market write-downs by financial institutions on market prices and volumes, as well as the prominent role that illiquidity plays in exacerbating the direct and spillover effects of exit valuation on equity and credit default swaps markets. Using a...

Key Features:Presents novel papers and a different outlook on microstructureUnique in bringing together contributions from the leading authors in the fieldComprehensive coverage of a broad range of diversified subtopicsScholarly book for academicians, regulators, policy makers and practitioners...