Skip to main content
  • Book
  • © 2007

Hidden Markov Models in Finance

  • Robert J. Elliott is a distinguished research professor who has developed the area of Hidden Markov Models and Rogemar Mamon is a young researcher who is focusing his research efforts in this area. Robert Elliott has published exclusively in the area of Hidden Markov Models, and he is the author of leading books in the field — Hidden Markov Models and Mathematics of Financial Markets
  • Leading researchers have been commissioned to do chapter treatments on the following topics: Option Pricing, Interest Rate Theory, Credit Risk Modeling, Portfolio Optimization and Asset Allocation, Volatility Estimation, Electricity and other Commodity Pricing, and Real Options
  • Includes supplementary material: sn.pub/extras

Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 104)

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 119.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

This is a preview of subscription content, log in via an institution to check for access.

Table of contents (10 chapters)

  1. Front Matter

    Pages I-XIX
  2. The Term Structure of Interest Rates in a Hidden Markov Setting

    • Robert J. Elliott, Craig A. Wilson
    Pages 15-30
  3. Pricing Options and Variance Swaps in Markov-Modulated Brownian Markets

    • Robert J. Elliott, Anatoliy V. Swishchuk
    Pages 45-68
  4. Smoothed Parameter Estimation for a Hidden Markov Model of Credit Quality

    • Małgorzata W. Korolkiewicz, Robert J. Elliott
    Pages 69-90
  5. Expected Shortfall Under a Model With Market and Credit Risks

    • Kin Bong Siu, Hailiang Yang
    Pages 91-100
  6. Filtering of Hidden Weak Markov Chain -Discrete Range Observations

    • Shangzhen Luo, Allanus H. Tsoi
    Pages 101-119
  7. Back Matter

    Pages 185-186

About this book

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.

 

Editors and Affiliations

  • University of Western Ontario, London, Canada

    Rogemar S. Mamon

  • University of Calgary, Calgary, Canada

    Robert J. Elliott

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 119.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access