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Dynamic Markov Bridges and Market Microstructure - Theory and Applications (Paperback, Softcover reprint of the original 1st ed. 2018)
Loot Price: R3,599
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Dynamic Markov Bridges and Market Microstructure - Theory and Applications (Paperback, Softcover reprint of the original 1st ed. 2018)
Series: Probability Theory and Stochastic Modelling, 90
Expected to ship within 10 - 15 working days
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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 Levy 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.
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