Name: Handbook of Computational Finance (Springer Handbooks of Computational Statistics) (en Inglés)
Price: 597491.00 COP
Availability: InStock
Author: Duan Jin-Chuan,Härdle Wolfgang Karl,Gentle James E.
ISBN: 9783662507070

portada Handbook of Computational Finance (Springer Handbooks of Computational Statistics) (en Inglés)

Handbook of Computational Finance (Springer Handbooks of Computational Statistics) (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Duan Jin-Chuan,Härdle Wolfgang Karl,Gentle James E.

Idioma

Inglés

N° páginas

804

Encuadernación

Tapa Blanda

ISBN13

9783662507070

N° edición

Handbook of Computational Finance (Springer Handbooks of Computational Statistics) (en Inglés)

Duan Jin-Chuan,Härdle Wolfgang Karl,Gentle James E. (Autor) · Springer · Tapa Blanda

Libro Nuevo Importado

Envío: 14 a 20 días háb.

$ 1.194.983$ 597.491

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 597.491

¡Envío Gratis! Llega entre el 05 Ago y el 18 Ago a Bogota, Cundinamarca. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Handbook of Computational Finance (Springer Handbooks of Computational Statistics) (en Inglés)"

Any financial asset that is openly traded has a market price. Except for extreme market conditions, market price may be more or less than a "fair" value. Fair value is likely to be some complicated function of the current intrinsic value of tangible or intangible assets underlying the claim and our assessment of the characteristics of the underlying assets with respect to the expected rate of growth, future dividends, volatility, and other relevant market factors. Some of these factors that affect the price can be measured at the time of a transaction with reasonably high accuracy. Most factors, however, relate to expectations about the future and to subjective issues, such as current management, corporate policies and market environment, that could affect the future financial performance of the underlying assets. Models are thus needed to describe the stochastic factors and environment, and their implementations inevitably require computational finance tools.