We examine the relationships among corporate governance, industry concentration and financial structure that emerge endogenously in an economy. We consider entrepreneurs whose ability to raise capital is limited by the presence of agency costs in both the equity and debt markets. We argue that...

We analyze firms' choice between exchanges to list their equity (including multiple listings), and exchanges' choice of listing standards for firms which apply for listing, in an environment of competition and co-operation among exchanges. We model an equity market characterized by asymmetric...

This paper investigates the interaction between synergies and internal agency conflicts that emerges endogenously in multi-division firms. We model internal agency activities as entrenchment: to avoid personal costs, a divisional manager can reduce the likelihood of her division being divested...

We develop a theory of innovation waves, investor sentiment, and merger activity based on Knightian uncertainty. Uncertainty-averse investors are more optimistic on an innovation when they can make contemporaneous investments in multiple uncertain projects. Innovation waves occur when there is a...

We study the classical problem of raising capital under asymmetric information. Following Myers and Majluf (1984), we consider firms endowed with assets in place and riskier growth opportunities. When asymmetric information is concentrated on assets in place (rather than growth opportunities),...

We propose a new theory of systemic risk based on Knightian uncertainty (or "ambiguity"). We show that, due to uncertainty aversion, beliefs on future asset returns are endogenous, and bad news on one asset class induces investors to be more pessimistic about other asset classes as well. This...

We present a novel source of disagreement grounded in decision theory: ambiguity aversion. We show that ambiguity aversion generates endogenous disagreement between a firm's insider and outside shareholders, creating a new rationale for corporate governance systems. In our paper, optimal...