Description

Book Synopsis
A compilation of technical papers from the first year of "Wilmott" magazine, complementing the lectures presented at the Quantitative Finance Review in November 2003. This work includes articles from such researchers as Hyungsok Ahn and Jean Philippe Bouchaud.

Table of Contents
Introduction (Paul Wilmott).

I. Education in Quantitative Finance (Riaz Ahmad).

II. FinancialCAD (Owen Walsh).

III, Quantitative Finance Review 2003 (Dan Tudball).

Chapter 1: Rewind (Dan Tudball)

Chapter 2: In for the Count (Dan Tudball).

Chapter 3: A Perspective on Quantitative Finance: Models for Beating the Market (Ed Thorp).

Chapter 4: Psychology in Financial Markets (Henriëtte Prast).

Chapter 5: Credit Risk Appraisal: From the Firm Structural Approach to Modern Probabilistic Methodologies (Hugues E. Pirotte Spéder).

Chapter 6: Modelling and Measuring Sovereign Credit Risk (Ephraim Clark).

Chapter 7: The Equity-to-credit Problem (or the Story of Calibration, Co-calibration and Re-calibration) (Elie Ayache).

Chapter 8: Measuring Country Risk as Implied Volatility (Ephraim Clark).

Chapter 9: Next Generation Models for Convertible Bonds with Credit Risk (E. Ayache, P. A. Forsyth and K. R. Vetzal).

Chapter 10: First to Default Swaps (Antony Penaud and James Selfe).

Chapter 11: Taken to the Limit: Simple and Not-so-simple Loan Loss Distributions (Philipp J. Schönbucher)

Chapter 12: Sovereign Debt Default Risk: Quantifying the (Un)Willingness to Pay (Ephraim Clark).

Chapter 13: Chord of Association (Aaron Brown).

Chapter 14: Introducing Variety in Risk Management (Fabrizio Lillo, Rosario N. Mantegna, Jean-Philippe Bouchaud and Marc Potters).

Chapter 15: Alternative Large Risks Hedging Strategies for Options (F. Selmi and Jean-Philippe Bouchaud).

Chapter 16: On Exercising American Options: The Risk of Making More Money than You Expected (Hyungsok Ahn and Paul Wilmott).

Chapter 17: Phi-alpha Optimal Portfolios and Extreme Risk Management (R. Douglas Martin, Svetlozar (Zari) Rachev, and Frederic Siboulet).

Chapter 18: Managing Smile Risk (Patrick S. Hagan, Deep Kumar, Andrew S. Lesniewski and Diana E. Woodward).

Chapter 19: Adjusters: Turning Good Prices into Great Prices (Patrick S. Hagan).

Chapter 20: Convexity Conundrums: Pricing CMS Swaps, Caps, and Floors (Patrick S. Hagan).

Chapter 21: Mind the Cap (Peter Jäckel).

Chapter 22: The Art and Science of Curve Building (Owen Walsh).

Chapter 23: Stochastic Volatility Models: Past, Present and Future (Peter Jäckel).

Chapter 24: Cliquet Options and Volatility Models (Paul Wilmott).

Chapter 25: Long Memory and Regime Shifts in Asset Volatility (Jonathan Kinlay).

Chapter 26: Heston’s Stochastic Volatility Model: Implementation, Calibration and Some Extensions (Sergei Mikhailov and Ulrich Nögel).

Chapter 27: Forward-start Options in Stochastic Volatility Models (Vladimir Lucic).

Chapter 28: Stochastic Volatility and Mean-variance Analysis (Hyungsok Ahn and Paul Wilmott).

Index.

The Best of Wilmott 1

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    A Hardback by Paul Wilmott

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      Publisher: John Wiley & Sons Inc
      Publication Date: Publication Date: 27/10/2004
      ISBN13: 9780470023518, 978-0470023518
      ISBN10: 0470023511

      Description

      Book Synopsis
      A compilation of technical papers from the first year of "Wilmott" magazine, complementing the lectures presented at the Quantitative Finance Review in November 2003. This work includes articles from such researchers as Hyungsok Ahn and Jean Philippe Bouchaud.

      Table of Contents
      Introduction (Paul Wilmott).

      I. Education in Quantitative Finance (Riaz Ahmad).

      II. FinancialCAD (Owen Walsh).

      III, Quantitative Finance Review 2003 (Dan Tudball).

      Chapter 1: Rewind (Dan Tudball)

      Chapter 2: In for the Count (Dan Tudball).

      Chapter 3: A Perspective on Quantitative Finance: Models for Beating the Market (Ed Thorp).

      Chapter 4: Psychology in Financial Markets (Henriëtte Prast).

      Chapter 5: Credit Risk Appraisal: From the Firm Structural Approach to Modern Probabilistic Methodologies (Hugues E. Pirotte Spéder).

      Chapter 6: Modelling and Measuring Sovereign Credit Risk (Ephraim Clark).

      Chapter 7: The Equity-to-credit Problem (or the Story of Calibration, Co-calibration and Re-calibration) (Elie Ayache).

      Chapter 8: Measuring Country Risk as Implied Volatility (Ephraim Clark).

      Chapter 9: Next Generation Models for Convertible Bonds with Credit Risk (E. Ayache, P. A. Forsyth and K. R. Vetzal).

      Chapter 10: First to Default Swaps (Antony Penaud and James Selfe).

      Chapter 11: Taken to the Limit: Simple and Not-so-simple Loan Loss Distributions (Philipp J. Schönbucher)

      Chapter 12: Sovereign Debt Default Risk: Quantifying the (Un)Willingness to Pay (Ephraim Clark).

      Chapter 13: Chord of Association (Aaron Brown).

      Chapter 14: Introducing Variety in Risk Management (Fabrizio Lillo, Rosario N. Mantegna, Jean-Philippe Bouchaud and Marc Potters).

      Chapter 15: Alternative Large Risks Hedging Strategies for Options (F. Selmi and Jean-Philippe Bouchaud).

      Chapter 16: On Exercising American Options: The Risk of Making More Money than You Expected (Hyungsok Ahn and Paul Wilmott).

      Chapter 17: Phi-alpha Optimal Portfolios and Extreme Risk Management (R. Douglas Martin, Svetlozar (Zari) Rachev, and Frederic Siboulet).

      Chapter 18: Managing Smile Risk (Patrick S. Hagan, Deep Kumar, Andrew S. Lesniewski and Diana E. Woodward).

      Chapter 19: Adjusters: Turning Good Prices into Great Prices (Patrick S. Hagan).

      Chapter 20: Convexity Conundrums: Pricing CMS Swaps, Caps, and Floors (Patrick S. Hagan).

      Chapter 21: Mind the Cap (Peter Jäckel).

      Chapter 22: The Art and Science of Curve Building (Owen Walsh).

      Chapter 23: Stochastic Volatility Models: Past, Present and Future (Peter Jäckel).

      Chapter 24: Cliquet Options and Volatility Models (Paul Wilmott).

      Chapter 25: Long Memory and Regime Shifts in Asset Volatility (Jonathan Kinlay).

      Chapter 26: Heston’s Stochastic Volatility Model: Implementation, Calibration and Some Extensions (Sergei Mikhailov and Ulrich Nögel).

      Chapter 27: Forward-start Options in Stochastic Volatility Models (Vladimir Lucic).

      Chapter 28: Stochastic Volatility and Mean-variance Analysis (Hyungsok Ahn and Paul Wilmott).

      Index.

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