Hidden Markov Models in Finance金融业中的隐马尔可夫模型 pdf mobi 下载 kindle 115盘 chm 阿里云 rb

A number of methodologies have been employed to provide decision *** soluti*** to a w*** 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 opti*** and variance swaps, valuation of life insurance policies, interest rate theory, credit risk modeling, risk management, ***ysis 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 ***yses that allow them to sort through the random "noise" of financial markets (i.e., turbulence, volatility, emotion, chaotic events, etc.) and ***yze 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.

1　An Exact Solution of the Term Structure of Interest Rateunder Regime.Switching Risk Shuwz.Yong Zeng

1.1　Introduction

1.2　A new representation for modeling regime shift

1.3　The model

1.3.1　TWO state variables

1.3.2　Pricing kernel

1.3.3　The risk.neutral probability measure

1.3.4　The term structure of interest rates

1.4　A tractable specification with exact solution

1.4.1　Affine regimeswitching models

1.5　Conclusi***

References

2　The Term Structure of Interest Rates in a Hidden MarkovSetting

Robert，Elliott.Craig A.WiIson

2.1 Introduction

2.2　The Model

2.2.1　The Markov chain

2.2.2　The shortterm interest rate

2.2.3　The zerOcoupon bond value

2.3　Implementation

2.4　Results

2.5　Conclusion

References

3　On Fair Valuation of Participating Life Insurance Policies With Regime Switching Tak Kuen Siu

3.1 Introduction

3.2 The model dynamics

3.3　Dimension reduction to regime-switching PDE

3.4　Further investigation

References.

4　Pricing Opti*** and Variance Swaps in Markov-Modulated Brownian Markets

Robert，Elliott.Anatoliy矿Swishchuk

4.1 Introduction

4.2　Li***ture review

4.3　Martingale characterization ofMarkov processes

4.4　Pricing opti*** for Markovmodulated security markets

4.4.1　Incompleteness of Markovmodulated Brownian security markets

4.4.2　The Black-Sc***s formula for pricing opti*** in a Markovmodulated Brownian market

4.5　Pricing opti*** for Markov-modulated Brownian markets with jumps

4.5.1　Incompleteness of Markovmodulated Brownian （B，S）-security markets withjumps

4.5.2　BlackSc***s formula for pricing opti*** in Markovmodulated Brownian fB，S）-security market with jumps

4.6 Pricing of Variancev swaps for stochastic volatility driven by Markov process.

4.6.1 Stochastic volatility driven by Markov process.

4.6.2　Pricing of variance swaps for stochastic volatility driven by Markov process

4.6.3 Example of variance SWap for stochastic volatility driven by tw0state COntinuous Markov chainA

A Some auxiliary results.

A.1 A FeynmannKac formula for the Markovmodulated

process（Ys（t），Xs（t））t＞s

A.2 Formula for the option price FT（ST） for the market

combined Markovmodulated（B，Sl-security market and

compound geometric Poisson process（see Section 4.4.2）

Referrences

　……

5 Smoothed Parameter Estimation for a Hidden Markov Model of Credit Quality

6 Expectde Shortfall Under a Model With Market and Credit Risks

7 Filtering of Hidden Weak Markov Chain-Discrete Range Observati***

8 Filtering of a Partially Observed Inventory Sytem

9 An empirical investigation of the unbiased forward exchange rate hypothesis in a regime switching market

10 Early Warning Systems for Currency Crises：A Regime-Switchng Approach

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