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Dynamic Markov Bridges and Market Microstructure: Theory and Applications 2018 Edition
Contributor(s): Çetin, Umut (Author), Danilova, Albina (Author)
ISBN: 1493988336     ISBN-13: 9781493988334
Publisher: Springer
OUR PRICE:   $132.99  
Product Type: Hardcover
Published: October 2018
Qty:
Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - General
- Mathematics | Applied
- Business & Economics | Statistics
Dewey: 330.015
Series: Probability Theory and Stochastic Modelling
Physical Information: 0.63" H x 6.14" W x 9.21" (1.16 lbs) 234 pages
 
Descriptions, Reviews, Etc.
Publisher Description:
This book undertakes a detailed construction of Dynamic Markov Bridges using a combination of theory and real-world applications to drive home important concepts and methodologies. In Part I, theory is developed using tools from stochastic filtering, partial differential equations, Markov processes, and their interplay. Part II is devoted to the applications of the theory developed in Part I to asymmetric information models among financial agents, which include a strategic risk-neutral insider who possesses a private signal concerning the future value of the traded asset, non-strategic noise traders, and competitive risk-neutral market makers. A thorough analysis of optimality conditions for risk-neutral insiders is provided and the implications on equilibrium of non-Gaussian extensions are discussed.

A Markov bridge, first considered by Paul L vy in the context of Brownian motion, is a mathematical system that undergoes changes in value from one state to another when the initial and final states are fixed. Markov bridges have many applications as stochastic models of real-world processes, especially within the areas of Economics and Finance. The construction of a Dynamic Markov Bridge, a useful extension of Markov bridge theory, addresses several important questions concerning how financial markets function, among them: how the presence of an insider trader impacts market efficiency; how insider trading on financial markets can be detected; how information assimilates in market prices; and the optimal pricing policy of a particular market maker.
Principles in this book will appeal to probabilists, statisticians, economists, researchers, and graduate students interested in Markov bridges and market microstructure theory.