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https://hdl.handle.net/2142/85682
Description
Title
Essays on Semiparametric Methods in Finance
Author(s)
Weikel, Brian Keith
Issue Date
2000
Doctoral Committee Chair(s)
Koenker, Roger W.
Department of Study
Economics
Discipline
Economics
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Economics, Finance
Language
eng
Abstract
With the proliferation of computing power and storage capabilities, financial data can be collected at shorter intervals than just a few years ago; for example, each transaction from an exchange can be recorded. Unlike previous studies that model the time between transactions completely parametrically, in this paper we use the semiparametric survival model of Kooperberg, Stone, and Troung (1995). The primary objective of this paper is to examine how important trade characteristics are on the prices spacings and a measure of instantaneous volatility using the semiparametric survival model. Graphical methods and specification tests indicate the significant dependence between arrival times can be sufficiently modeled in the semiparametric framework. When the semiparametric model is compared to a theoretical model of geometric Brownian motion, diagnostics reveal the semiparametric model outperforms the hypothetical model. The empirical findings are that information flow variables, such as volume, spreads and trading imbalances, predict more rapid price revisions. Tests of different market microstructure models lends credence to the theoretical assertions that movement in prices are due to informed traders and not liquidity traders.
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