This book presents an introduction to the calibration (estimation of parameters) of the Schwartz (1997) reduced-forrn, no-arbirrage two factor model by applying a combination of the Kalman f...

AN INTRODUCTION TO THE CALIBRATION OF THE SCHWARTZ (1997) REDUCED-FORM, NO-ARBITRAGE TWO-FACTOR MODEL
This book presents an introduction to the calibration (estimation of parameters) of the Schwartz (1997) reduced-forrn, no-arbirrage two factor model by applying a combination of the Kalman filter and the maximum log-likelihood method knows as the predictive er...
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This book presents an introduction to the calibration (estimation of parameters) of the Schwartz (1997) reduced-forrn, no-arbirrage two factor model by applying a combination of the Kalman filter and the maximum log-likelihood method knows as the predictive error decomposition. This book is written in such a way that a reader with primary tools in stochastic calculus and optimization (mainly the maximum log-Iikelihood method) can find the necessary tools for doing its reading without problems and understand the essential elements of the methodology.
MEJÍA VEGA, Carlos Armando
Universidad Externado de Colombia
9789587900286
Por confirmar
2018
1ª ed. 2018
144
14 X 21
Siglo del Hombre
1 a 4 días
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