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The Adaptive Curve Evolution Model for Interest & FX Rates (Paperback)

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Description


The ACE model - in its original form developed by Gregory Pelts and now carefully rephrased, refined, and made more accessible by Matthias Heymann in the present book - is the first to combine all of the most desirable analytical properties in one interest rate model. In addition, the second edition of the book presents an extension of the ACE model that covers the interest rates and bond prices of multiple currencies, along with each currency pair's spot and forward exchange rates. The model is low-dimensional (with the dimension n=1,3,4,5... of its state space coinciding with the one of the driving Brownian motion), complete (i.e., it models all tenors), consistent (i.e., arbitrage-free), highly flexible (it provides 2n+1 discrete parameters in addition to the functional noise parameter sigma(x, t)), and time homogeneous if desired, and it imposes a lower bound on rates. Moreover, it has the rare feat of being unspanned (i.e., its bond price function does not depend on sigma), which can increase calibration leverage, and which allows the yield curve calibration to be separated from the calibration to caps, swaptions, and other interest rate or FX derivatives. Chapter 1 explains all of our desired model features and provides a detailed comparison with other models. Chapters 2-3 ("A Fast Track To ACE"), which are tailored to the reader who merely wishes to understand the ACE model well enough to use it in practice, lay out all of the results in an easily understandable R n-based formulation, along with some straightforward proofs that require only standard knowledge in analysis, stochastic processes, and mathematical finance. Finally, Chapters 4-7 contain the original derivation of the model equations, utilizing a variety of compelling non-standard mathematical techniques - carefully introduced along the way - that may well hold the key also to other financial modeling problems.

Product Details
ISBN: 9798621598266
Publisher: Independently Published
Publication Date: June 18th, 2018
Pages: 346
Language: English