Name: An Introduction to the Calibration of the Schwartz (1997) Reduced-Form
Price: 251.03 MXN
Availability: InStock
Author: Carlos Armando Mejía Vega
ISBN: 9789587900286

Envío gratis

portada An Introduction to the Calibration of the Schwartz (1997) Reduced-Form

Formato

Libro Físico

Editorial

U. Externado De Colombia

Autor

Carlos Armando Mejía Vega

Categoría

Libros de Economía y Finanzas

N° páginas

143

ISBN13

9789587900286

An Introduction to the Calibration of the Schwartz (1997) Reduced-Form

Carlos Armando Mejía Vega (Autor) · U. Externado De Colombia · Libro Físico

Libro Nuevo

$ 251.03

$ 456.41

Ahorras: $ 205.39

45% descuento

Envío normal

Origen: Colombia (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Miércoles 12 de Junio y el Viernes 21 de Junio.

Lo recibirás en cualquier lugar de México entre 1 y 3 días hábiles luego del envío.

Reseña del libro "An Introduction to the Calibration of the Schwartz (1997) Reduced-Form"

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. To pursue this purpose, in chapter 1 we will revise the model formally known as the Schwartz (1997) reduced-form, no-arbitrage two-factor model, and we will give some motivation for its calibration. In chapter 2, we will develop an introduction to the state space form and the general Kalman filter algorithm. In section 3, we will join the two previous chapters by applying the Kalman filter to the Schwartz (1997) reduced-form, no-arbitrage two-factor mode! under the approach of Schwartz (1997). Finally, in chapter 4 we show the optimization procedure to obtain the parameters as well as so me features and problems with it.