Name: Alm Modeling and Balance Sheet Optimization: A Mathematical Approach to Banking (en Inglés)
Price: 266.78 PEN
Availability: InStock
Author: Gobira Processi, Diogo Lucas
ISBN: 9783110664225

portada Alm Modeling and Balance Sheet Optimization: A Mathematical Approach to Banking (en Inglés)

Formato

Libro Físico

Autor

Diogo Lucas Gobira Processi

Editorial

de Gruyter

Idioma

Inglés

N° páginas

216

Encuadernación

Tapa Dura

Dimensiones

24.4 x 17.0 x 1.4 cm

Peso

0.54 kg.

ISBN13

9783110664225

Categorías

Banca
Seguros

Alm Modeling and Balance Sheet Optimization: A Mathematical Approach to Banking (en Inglés)

Diogo Lucas Gobira Processi (Autor) · de Gruyter · Tapa Dura

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S/ 266,78

S/ 533,56

Ahorras: S/ 266,78

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Envío normal

Origen: Reino Unido (Costos de importación incluídos en el precio)

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Reseña del libro "Alm Modeling and Balance Sheet Optimization: A Mathematical Approach to Banking (en Inglés)"

ALM Modeling and Balance Sheet Optimization is a comprehensive book that combines theoretical exploration with practical guidance and code examples on implementing a balance sheet optimization model. The book emphasizes the use of stochastic dynamic programming to develop a deep and holistic understanding of the banking problem. Encompassing the entire implementation stack - spanning from data layers to the specification of decision variables, business and regulatory constraints, objective functions, modeling strategies, solving techniques, debugging, and reporting - this book serves as a comprehensive guide for constructing highly effective balance optimization models from scratch, enabling the maximization of banking outcomes. Readers will learn how to build a mathematical model capable of generating projections for portfolios; balance sheet, income and cash flow statements; capital, and risk measures in real-world scenarios. This practical approach is particularly valuable for professionals involved in integrated stress testing, capital adequacy assessment, financial planning, and optimization tasks. In essence, the book offers valuable insights into the challenges of balance sheet optimization, providing readers with the necessary tools to build their own dynamic and comprehensive ALM models.