This study provides critical observations on the state of key global equity markets as recent developments have put into question their efficiency and effectiveness in facilitating capital formation. It covers the top 26 initial public offering (IPO) producing nations, with a particular focus on...

This report aims to provide an assessment of Turkey's corporate governance regime and practices with a view to identify key issues and obstacles to investments and growth. We will focus on two aspects of CG framework in Turkey; (i) legal and regulatory protection offered to outside investors...

We document a major mechanism – inorganic growth – which drives a wedge between micro-study effects of credit supply shocks and aggregate effects. Exploiting a quasi-exogenous positive shock to credit supply, we document that affected firms borrow larger amounts and exhibit stronger asset,...

Using the recent public health pandemic (COVID-19) as a laboratory experiment, I find evidence of an asymmetrical relation between a firm's debt maturity structure choice and its growth opportunities. Firms with high pre-pandemic exposure to growth-inducing factors obtained from 10-K filings...

This paper investigates the compensation and growth dynamics of private equity firms. Using proprietary data, I estimate that about half of their revenue is performance-related and find that current fund performance also has indirect effects on firms’ future revenue. The dynamics of these...

This study examines the impact of the prevalence of long-term equity-based CEO compensation incentives on GDP growth, and we address the moderating role of individualist versus collectivist cultures on this relationship. We argue long-term incentives given to CEOs in some firms may convey to...

I develop a model of mergers in which M&A deals are used to reallocate investment opportunities. In equilibrium, acquirers lack internal growth options and seek out projects from targets in the M&A market. The model is able to reconcile many features of the merger data that I document, including...

Artificial neural networks have become increasingly popular for statistical model fitting over the last years, mainly due to increasing computational power. In this paper, an introduction to the use of artificial neural network (ANN) regression models is given. The problem of predicting the GDP...