๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Hidden Markov Models in Finance

โœ Scribed by Shu Wu, Yong Zeng (auth.), Rogemar S. Mamon, Robert J. Elliott (eds.)


Publisher
Springer
Year
2007
Tongue
English
Leaves
186
Edition
1
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


A number of methodologies have been employed to provide decision making solutions to a whole assortment of financial problems in today's globalized markets. Hidden Markov Models in Finance by Mamon and Elliott will be the first systematic application of these methods to some special kinds of financial problems; namely, pricing options and variance swaps, valuation of life insurance policies, interest rate theory, credit risk modeling, risk management, analysis of future demand and inventory level, testing foreign exchange rate hypothesis, and early warning systems for currency crises. This book provides researchers and practitioners with analyses that allow them to sort through the random "noise" of financial markets (i.e., turbulence, volatility, emotion, chaotic events, etc.) and analyze the fundamental components of economic markets. Hence, Hidden Markov Models in Finance provides decision makers with a clear, accurate picture of core financial components by filtering out the random noise in financial markets.

โœฆ Table of Contents


Front Matter....Pages I-XIX
An Exact Solution of the Term Structure of Interest Rate Under Regime-Switching Risk....Pages 1-14
The Term Structure of Interest Rates in a Hidden Markov Setting....Pages 15-30
On Fair Valuation of Participating Life Insurance Policies With Regime Switching....Pages 31-43
Pricing Options and Variance Swaps in Markov-Modulated Brownian Markets....Pages 45-68
Smoothed Parameter Estimation for a Hidden Markov Model of Credit Quality....Pages 69-90
Expected Shortfall Under a Model With Market and Credit Risks....Pages 91-100
Filtering of Hidden Weak Markov Chain -Discrete Range Observations....Pages 101-119
Filtering of a Partially Observed Inventory System....Pages 121-132
An empirical investigation of the unbiased forward exchange rate hypothesis in a regime switching market....Pages 133-153
Early Warning Systems for Currency Crises: A Regime-Switching Approach....Pages 155-184
Back Matter....Pages 185-186

โœฆ Subjects


Operations Research, Mathematical Programming


๐Ÿ“œ SIMILAR VOLUMES


Hidden Markov models in finance
โœ Rogemar S. Mamon, Robert J. Elliott ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐Ÿ› Springer ๐ŸŒ English

<P>A number of methodologies have been employed to provide decision making solutions to a whole assortment of financial problems in today's globalized markets. <EM>Hidden Markov Models in Finance</EM> by Mamon and Elliott will be the first systematic application of these methods to some special kind

Hidden Markov Models in Finance
โœ Mamon R.S., Elliott R.J. ๐Ÿ“‚ Library ๐Ÿ“… 2007 ๐ŸŒ English

A number of methodologies have been employed to provide decision making solutions to a whole assortment of financial problems in today's globalized markets. Hidden Markov Models in Finance by Mamon and Elliott will be the first systematic application of these methods to some special kinds of financi

Hidden Markov Models: Applications to Fi
โœ Ramaprasad Bhar, Shigeyuki Hamori ๐Ÿ“‚ Library ๐Ÿ“… 2004 ๐Ÿ› Springer ๐ŸŒ English

Markov chains have increasingly become useful way of capturing stochastic nature of many economic and financial variables. Although the hidden Markov processes have been widely employed for some time in many engineering applications e.g. speech recognition, its effectiveness has now been recognized

Inference in Hidden Markov Models
โœ Olivier Cappรฉ, Eric Moulines, Tobias Ryden ๐Ÿ“‚ Library ๐Ÿ“… 2005 ๐Ÿ› Springer, Berlin ๐ŸŒ English

<P>This book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory. Topics range from filtering and smoothing of the hidden Markov chain to parameter estimation, Bayesian methods and estimation of the number of states. In a unified way t