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This thesis consists of two chapters that study separate subjects in the area of corporate finance.The first chapter, titled âEconomic Gains in Bank Mergers and Acquisitions â Evidence from Targetsâ, investigates economic gains in bank mergers and ac ...
This paper examines the financial consequences that inventory leanness has on firm performance. We conduct an econometric analysis using 4324 publicly traded US manufacturing companies for the period 1980-2008. Using an instrumental variable fixed effects ...
We propose a novel Continuation Multi Level Monte Carlo (CMLMC) algorithm for weak approximation of stochastic models that are described in terms of differential equations either driven by random measures or with random coefficients. The CMLMC algorithm so ...
Energy market liberalization is changing pricing mechanisms for wholesale electricity. This work shows that it is essential to appreciate and mirror these changes in the modeling of electricity markets for policy assessment. We develop a framework composed ...
While traditional research in operations management has focused on mathematical models for improving the flow of physical goods and information, this dissertation takes a quantitative empirical approach. With three distinct research projects it revisits ce ...
Vehicle sharing systems (VSSs) allow users to rent vehicles for a short period of time, in a more flexible and convenient manner compared to the traditional vehicle rental services. The long-term VSS subscription replaces the need for contract signing for ...
In the first chapter of this thesis, I empirically show that the time delay firms face in raising outside capital affects cash holdings. I exploit the 2005 US Securities Offering Reform (the Reform) as a quasi-natural experiment. For a subset of large publ ...
We propose a novel Continuation Multi Level Monte Carlo (CMLMC) algorithm for weak approximation of stochastic models. The CMLMC algorithm solves the given approximation problem for a sequence of decreasing tolerances, ending when the required error tolera ...
Spatial filtering is the fundamental characteristic of microphone array based signal acquisition, which plays an important role in applications such as speech enhancement and distant speech recognition. In the array processing literature, this property is ...
We propose and analyze a novel Multi Index Monte Carlo (MIMC) method for weak approximation of stochastic models that are described in terms of differential equations either driven by random measures or with random coefficients. The MIMC method is both a s ...
