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The Contribution Of Trader Interaction To Market Noise

dc.contributor.authorLiu, Xiaofeien_US
dc.contributor.chairProtter, Philip E.en_US
dc.contributor.committeeMemberJarrow, Robert A.en_US
dc.contributor.committeeMemberTurnbull, Bruce Williamen_US
dc.date.accessioned2013-07-23T18:24:11Z
dc.date.available2016-09-27T05:39:50Z
dc.date.issued2011-05-29en_US
dc.description.abstractInspired by the Cucker-Smale flocking idea, we introduce a heterogeneous agent-based price model that captures explicitly the impact of trader interaction on asset price dynamics, in order to provide insights to a wide range of puzzling stylized facts observed in financial asset returns. Discrete-time models for communication among individual market participants are investigated in Chapter 3, while the role of an influential central authority, such as an equity analyst's report, is studied under a continuous-time setting in Chapter 4. In both cases, we provide limit theorems for normalized sums of dependent stochastic processes that allow us to study analytically the aggregated effect of micro-level communications among a large number of market participants. In addition, we demonstrate via numerical examples that our price model is capable of reproducing asset returns with statistical properties, such as heavy tails, aggregational Gaussianity and volatility clustering, that are in harmony with empirical observations.en_US
dc.identifier.otherbibid: 8213958
dc.identifier.urihttps://hdl.handle.net/1813/33648
dc.language.isoen_USen_US
dc.subjectStylized facts of asset returnsen_US
dc.subjectCentral Limit Theoremen_US
dc.subjectAgent Interactionen_US
dc.subjectAgent-based asset price modelen_US
dc.titleThe Contribution Of Trader Interaction To Market Noiseen_US
dc.typedissertation or thesisen_US
thesis.degree.disciplineOperations Research
thesis.degree.grantorCornell Universityen_US
thesis.degree.levelDoctor of Philosophy
thesis.degree.namePh. D., Operations Research

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