Mathematical Techniques in Finance: An Introduction (Wiley Finance) - Hardcover

Sadr, Amir

Hardcover

ISBN 10: 1119838401 ISBN 13: 9781119838401

Publisher: Wiley, 2022

Synopsis

Explore the foundations of modern finance with this intuitive mathematical guide

In Mathematical Techniques in Finance: An Introduction, distinguished finance professional Amir Sadr delivers an essential and practical guide to the mathematical foundations of various areas of finance, including corporate finance, investments, risk management, and more.

Readers will discover a wealth of accessible information that reveals the underpinnings of business and finance. You’ll learn about:

• Investment theory, including utility theory, mean-variance theory and asset allocation, and the Capital Asset Pricing Model
• Derivatives, including forwards, options, the random walk, and Brownian Motion
• Interest rate curves, including yield curves, interest rate swap curves, and interest rate derivatives

Complete with math reviews, useful Excel functions, and a glossary of financial terms, Mathematical Techniques in Finance: An Introduction is required reading for students and professionals in finance.

About this title

About the Author

AMIR SADR, Ph.D. is a highly sought-after expert in fixed income and interest rate derivatives. He is a university lecturer at NYU Courant and a consultant to banks and hedge funds, with a current focus on crypto derivatives. He has held senior management roles in quantitative research and trading at major banks and hedge funds including Morgan Stanley, Greenwich Capital, and Brevan Howard.

From the Back Cover

PRAISE FOR MATHEMATICAL TECHNIQUES IN FINANCE

“This is the perfect introduction to financial modeling for masters-level students or quantitatively prepared undergraduates. Sadr presents the essential toolkit of mathematical techniques clearly and accessibly, while also explaining how each model is applied in practice.”

― DARRELL DUFFIE, Adams Distinguished Professor of Management and Professor of Finance at the Graduate School of Business, Stanford University

“An easy to read and self-contained textbook on quantitative finance - indeed, the perfect senior level undergraduate introduction to this fascinating field!”

― PETTER N. KOLM, Professor, Courant Institute of Mathematical Sciences, New York University, Awarded “Quant of the Year” 2021 by PMR

“This comprehensive and practical textbook introduces the mathematical techniques used in financial markets and products. It has a very clear and accessible presentation of the relevant topics. Ideal for students who want to pursue careers in quantitative finance.”

― ROBERT JARROW, Professor of Investment Management at the Samuel Curtis Johnson Graduate School of Management, Cornell University

From the Inside Flap

If accounting is the language of business, then finance is its culture. Finance touches all of our lives and businesses with an impact in every conceivable branch of economic activity, including banking, investing, financial planning, risk management, taxation, and more. And, underlying it all? Mathematics.

In Mathematical Techniques in Finance: An Introduction, accomplished author Amir Sadr delivers an accessible and robust treatment of the mathematics underlying some of finance’s most foundational subject areas. From bonds to investment theory to options, the author introduces and explores the mathematical techniques commonly employed in their modeling, pricing, and risk management.

Starting with simple formulas for compound interest and time value of money, the author systematically introduces mathematical techniques from calculus, probability theory, optimization methods to build a robust toolkit to tackle the major asset classes: bonds, stocks, options, interest rates. The techniques include calculus and differentiation rules, convex functions, numerical recipes, optimization algorithms, probability theory and regression analysis, partial differential equations, and stochastic processes.

This comprehensive textbook includes many examples and exercises drawn from real-world financial markets and products, useful Excel functions that are applicable to a wide range of finance problems, and Python coding snippets for longer projects.

Perfect for students in MBA and undergraduate mathematics, computer science, engineering, economics, and business programs, Mathematical Techniques in Finance: An Introduction is also an ideal refresher and reference source for early career practitioners in business- and finance-related roles.

Edition details

• Publisher: Wiley
• Publication date: 2022
• Language: English
• ISBN 10: 1119838401
• ISBN 13: 9781119838401
• Binding: Hardcover
• Edition number: 1
• Number of pages: 272