Kindly note that we have put a lot of effort into researching the best books on Financial Engineering subject and came out with a recommended list of top 10 best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on "Financial Engineering" as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.
|1. “Financial Engineering” by Marshall
“Financial Engineering” Book Review: Studying the important field of financial engineering, this book explores its products, growth, conceptual tools, instruments, strategies, processes and future directions. Starting from the basics of financial engineering to the intricate processes of creating new financial instruments, this book determines both conceptual and practical frameworks for understanding the field.
|2. “Financial Engineering for Low-Income Households” by Bindu Ananth
“Financial Engineering for Low-Income Households Book Review: This book is a modified collection of articles that focuses on using financial engineering- which is a versatile field that utilises technical methods from the fields of finance, mathematics and economics-to design financial services for low-income households. This manual gives the reader an understanding of multiple risk-reward trade-offs faced by low-income households and how principles of financial engineering are used to understand financial and non-financial assets, including human capital, insurance, annuities and loans. It provides numerous illustrations, caselets, and exercises to improve learning and helps in developing an understanding of the relative concepts.
|3. “Principles of Financial Engineering” by Neftki
“Principles of Financial Engineering” Book Review: This book focuses on financial engineering and the use of derivative instruments to the standard introductions to derivative pricing and financial mathematics. It includes five chapters on structured products and credit derivatives and an expanded collection of questions and exercises. It can be used as a reference text for financial engineering practitioners and academics and to solve problems in risk management, taxation, regulation, and pricing. It’s importance to structured products engineering, helps readers in creating financial assets in static and dynamic environments.
| 4. “Project Financing: Asset-Based Financial Engineering” by John D Finnerty
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“Project Financing: Asset-Based Financial Engineering” Book Review: This book is written to reflect current conditions of the financial environment using updated examples and case studies, and explains how to use the given techniques for project financing, how to prepare the financial plan, assess the risks, design the financing mix, raise the funds, etc. It covers the financing of sustainable projects as well as Sharia-compliant (Islamic) project financing and it discusses financial modeling and international debt financing, along with analyzing the shortcomings of unsuccessful project financing attempts.
|5. “Engineering Economics and Financial Accounting” by R Kesavan and C Elanchezhian|
| 6. “Monte Carlo Methods in Financial Engineering: Volume 53 (Stochastic Modelling and Applied Probability)” by Paul Glasserman
“Monte Carlo Methods in Financial Engineering” Book Review: This book is divided into three parts. It is a complete text for those who are interested in implementing Monte Carlo methods in a financial context. It develops the use of Monte Carlo methods in finance and it also uses simulation as a vehicle for presenting models and ideas from financial engineering. This book explains the development of the fundamentals of Monte Carlo methods, the foundations of derivatives pricing, and the implementation of important models used in financial engineering. The book includes topics such as estimating price sensitivities, valuing American options, and measuring market risk and credit risk in financial portfolios.
| 7. “Numerical Optimization (Springer Series in Operations Research and Financial Engineering)” by Jorge Nocedal and Stephen Wright
“Numerical Optimization” Book Review: This book provides an extensive description of methods in continuous optimization. It includes a thorough study of nonlinear interior methods and derivative-free methods for optimization. It also includes practical methods, as well as various illustrations and exercises. This book can be utilised in the field of engineering, operations research, mathematics, computer science, and business.
|8. “Credit Derivatives and Synthetic Structures: A Guide to Instruments and Applications (Wiley Series in Financial Engineering)” by Janet M Tavakoli|
| 9. “Schaum’s Outline of Advanced Mathematics for Engineers and Scientists (Schaums’ Outline Series)” by Murray R Spiegel
“Schaum’s Outline of Advanced Mathematics for Engineers and Scientists (Schaums’ Outline Series)” Book Review: This Outline provides various practice exercises to solidify the mechanics of working with advanced math concepts. It is a supplemental resource for engineering students in graduate level courses, scientists, economists,and every doctoral student. Topics in this book include- differential equations; linear differential equations, Laplace transformations, vector analysis, multiple, line and surface integrals with the theorems, Fourier series and integrals and gamma and beta functions.
| 10. “Perturbation Analysis of Optimization Problems (Springer Series in Operations Research and Financial Engineering)” by J Frederic Bonnans and Alexander Shapiro
“Perturbation Analysis of Optimization Problems (Springer Series in Operations Research and Financial Engineering)” Book Review: This book discusses general results of local optimality and computation of the expansion of value function and approximate solution of optimization problems, along with their application to various fields, like physics, economics, mechanics, statistics, finance. It can be used by research professionals, and graduate students at an advanced level. The progressive setting of this book allows the consideration and analysis of problems like semi definite and semi infinite programming, optimal control and variational inequalities.
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