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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/4906

Google™ Scholar. Others By: Ruiz, Esther
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Title: An overview of probabilistic and time series models in finance
Author(s): Ruiz, Esther [ortega]
Publisher: Springer
Issued date: 2005
Citation: Recent Advances in Applied Probability, 2005, p. 27-63
URI: http://hdl.handle.net/10016/4906
ISBN: 978-0-387-23378-9
Abstract: In this paper, we partially review probabilistic and time series models in finance. Both discrete and continuous .time models are described. The characterization of the No- Arbitrage paradigm is extensively studied in several financial market contexts. As the probabilistic models become more and more complex to be realistic, the Econometrics needed to estimate them are more difficult. Consequently, there is still much research to be done on the link between probabilistic and time series models.
Table of contents: Modeling Text Databases.- An Overview of Probabilistic and Time Series Models in Finance.- Stereological Estimation of the Rose of Directions.- Approximations for Multiple Scan Statistics.- Krawtchouk Polynomials and Krawtchouk Matrices.- An Elementary Rigorous Introduction to Exact Sampling.- On the Different Extensions of the Ergodic Theorem of Information Theory.- Dynamic Stochastic Models for Indexes and Thesauri.- Stability and Optimal Control.- Statistical Distances Based on Euclidean Graphs.- Implied Volatility.- On the Increments of the Brownian Sheet.- Compound Poisson Approximation.- Penalized Model Selection for Ill-posed Linear Problems.- The Arov-Grossman Model.- Recent Results in Geometric Analysis.- Dependence or Independence of the Sample Mean.- Optimal Stopping Problems for Time-Homogeneous Diffusions.- Criticality in Epidemics.- Acknowledgments.- Reference.- Index.
Review: PeerReviewed
Version of: http://hdl.handle.net/10016/194
Publisher version: http://www.springer.com/math/probability/book/978-0-387-23378-9?detailsPage=toc
Keywords: Asset Pricing
CAPM
Choquet integral
Diffusion process
GARCH
Stochastic Volatility
Term Structure
Value at Risk
Rights: ©Springer
Appears in Collections:DES - Capítulos de Monografías
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