ALM Modeling and Balance Sheet Optimization
eBook - ePub

ALM Modeling and Balance Sheet Optimization

A Mathematical Approach to Banking

  1. 216 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

ALM Modeling and Balance Sheet Optimization

A Mathematical Approach to Banking

About this book

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.

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Yes, you can access ALM Modeling and Balance Sheet Optimization by Diogo Gobira,Lucas Processi in PDF and/or ePUB format, as well as other popular books in Business & Insurance. We have over one million books available in our catalogue for you to explore.

Information

Publisher
De Gruyter
Year
2023
eBook ISBN
9783110664386
Edition
1
Subtopic
Insurance

Table of contents

  1. Title Page
  2. Copyright
  3. Contents
  4. 1 Introduction
  5. 2 Modeling Guidelines
  6. 3 Fundamental Concepts: Balance Sheet Model
  7. 4 Fundamental Concepts: Mathematical Programming
  8. 5 Data Preparation Pipeline
  9. 6 Building the Model: Foundations
  10. 7 Building the Model: Business Rules
  11. 8 Running the Model
  12. 9 Adding Uncertainty
  13. 10 Troubleshooting Strategies
  14. 11 Conclusions
  15. Subject Index