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Adopting a regulatory focus perspective, I study why people repeat a prior behavior that could be unpleasant, ineffective, or unethical. Driven by the concerns to avoid negative deviations from the status quo, the prevention aspect of self-regulation (i.e., prevention focus) is associated with the motivation to maintain the status quo (Higgins, 2005).
This dissertation addresses a number of outstanding, fundamental questions in operations management and industrial organization literature. Operations management literature has a long history of studying the competitive impact of operational, firm-level strategic decisions within oligopoly markets.
This thesis considers two applications in dynamics economic models with many agents. The dynamics of the economic systems under consideration are intractable since they depend on the (stochastic) outcomes of the agents' actions. However, as the number of agents grows large, approximations to the aggregate behavior of agents come to light. I use this observation to characterize market dynamics and subsequently to study these applications.
This dissertation analyzes hedge fund leverage and its determinants, investigates optimal hedge fund manager behavior induced by hedge fund contracts, and uncovers an evidenc
The purpose of this dissertation is to understand the risks embedded in Carry Trades. For this, we use a broad range of stochastic volatility (SV) models, estimate them using Bayesian techniques via Markov chain Monte Carlo methods, and analyze various risk measures using these estimation results.
Different fields of economics have historically tended to focus on firms' strategies in isolation. In contrast, a lot of the recent work explores how various aspects of firm behavior interact with each other.
This dissertation contains a series of essays intended to introduce strategic modeling techniques into the network design problem.
My dissertation aims at understanding the dynamics of asset prices empirically. It contains three chapters.
Financial markets, where companies are characterized by a separation of ownership from control and interactions are opaque to a large majority of uninformed investors provide a fertile ground for executives to conduct practices that push the ethical boundaries of accepted and expected behavior.