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

Über die Autorin bzw. den Autor

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.

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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.

Aus dem Klappentext

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.