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.
ISBN: | 9781493988334 |
Publisher: | Springer New York |
Imprint: | Springer |
Published date: | 26 Oct 2018 |
Language: | English |
Number of pages: | 234 |
Weight: | 528g |
Height: | 163mm |
Width: | 243mm |
Spine width: | 17mm |