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https://hdl.handle.net/2142/85539
Description
Title
Essays on Banking and Option Pricing
Author(s)
Toros, Fernanda
Issue Date
2003
Doctoral Committee Chair(s)
Villamil, Anne P.
Department of Study
Economics
Discipline
Economics
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Business Administration, Banking
Language
eng
Abstract
This thesis contains three papers. The first paper examines how the level of legal protection to creditors may affect the degree of credit market development, measured by the cost, the level, and the variability of credit in the market. The model predicts that high legal protection tends to increase the cost and decrease the level of credit in the economy. The relevance of these effects may vary according to whether the economy is in a recession or a boom. The effect on credit volatility is ambiguous and depends on parametric assumptions. In the second paper, we test the predictions of the model. We take different regions in the U.S., each with its own level of exemption in case of bankruptcy, in two different points in time: 1993, when the U.S. was still facing mild economic conditions, and 1998, a year of the golden era of economic boom. The empirical evidence confirms the predictions of the model. The third paper introduces a nonparametric procedure to estimate state-price densities from option prices. The existing nonparametric kernel regression estimator in Ait-Sahalia and Lo (1998) does not satisfy a requirement of a probability density function: that it be non-negative on its domain. In this paper, we implement a one-step estimation and smoothing procedure based on constrained quantile smoothing splines. It is inherently robust to extreme observations and the structure of the minimization problem makes it quite simple to add shape restrictions. Monte Carlo simulations show that this estimator performs well in small samples and satisfies the required constraints.
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