Essays in Derivatives

Essays in Derivatives

Author: Don M. Chance

Publisher: John Wiley & Sons

Published: 2011-07-05

Total Pages: 403

ISBN-13: 1118160649

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In the updated second edition of Don Chance’s well-received Essays in Derivatives, the author once again keeps derivatives simple enough for the beginner, but offers enough in-depth information to satisfy even the most experienced investor. This book provides up-to-date and detailed coverage of various financial products related to derivatives and contains completely new chapters covering subjects that include why derivatives are used, forward and futures pricing, operational risk, and best practices.


Modeling the Term Structure of Interest Rates

Modeling the Term Structure of Interest Rates

Author: Rajna Gibson

Publisher: Now Publishers Inc

Published: 2010

Total Pages: 171

ISBN-13: 1601983727

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Modeling the Term Structure of Interest Rates provides a comprehensive review of the continuous-time modeling techniques of the term structure applicable to value and hedge default-free bonds and other interest rate derivatives.


Essays in Honour of Fabio Canova

Essays in Honour of Fabio Canova

Author: Juan J. Dolado

Publisher: Emerald Group Publishing

Published: 2022-09-21

Total Pages: 188

ISBN-13: 1803828331

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Both parts of Volume 44 of Advances in Econometrics pay tribute to Fabio Canova for his major contributions to economics over the last four decades.


Essays in Honor of Joon Y. Park

Essays in Honor of Joon Y. Park

Author: Yoosoon Chang

Publisher: Emerald Group Publishing

Published: 2023-04-24

Total Pages: 449

ISBN-13: 1837532125

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Volumes 45a and 45b of Advances in Econometrics honor Professor Joon Y. Park, who has made numerous and substantive contributions to the field of econometrics over a career spanning four decades since the 1980s and counting.


Yield Curve Modeling and Forecasting

Yield Curve Modeling and Forecasting

Author: Francis X. Diebold

Publisher: Princeton University Press

Published: 2013-01-15

Total Pages: 223

ISBN-13: 0691146802

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Understanding the dynamic evolution of the yield curve is critical to many financial tasks, including pricing financial assets and their derivatives, managing financial risk, allocating portfolios, structuring fiscal debt, conducting monetary policy, and valuing capital goods. Unfortunately, most yield curve models tend to be theoretically rigorous but empirically disappointing, or empirically successful but theoretically lacking. In this book, Francis Diebold and Glenn Rudebusch propose two extensions of the classic yield curve model of Nelson and Siegel that are both theoretically rigorous and empirically successful. The first extension is the dynamic Nelson-Siegel model (DNS), while the second takes this dynamic version and makes it arbitrage-free (AFNS). Diebold and Rudebusch show how these two models are just slightly different implementations of a single unified approach to dynamic yield curve modeling and forecasting. They emphasize both descriptive and efficient-markets aspects, they pay special attention to the links between the yield curve and macroeconomic fundamentals, and they show why DNS and AFNS are likely to remain of lasting appeal even as alternative arbitrage-free models are developed. Based on the Econometric and Tinbergen Institutes Lectures, Yield Curve Modeling and Forecasting contains essential tools with enhanced utility for academics, central banks, governments, and industry.