Amir Sadr

Mathematical Techniques in Finance

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      The Wiley Finance series contains books written specifically for finance and investment professionals as well as sophisticated individual investors and their financial advisors. Book topics range from portfolio management to e‐commerce, risk management, financial engineering, valuation and financial instrument analysis, as well as much more.

      For a list of available titles, visit our Web site at www.WileyFinance.com.

       An Introduction

       AMIR SADR

      Published by John Wiley & Sons, Inc., Hoboken, New Jersey.

      Published simultaneously in Canada.

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       Library of Congress Cataloging-in-Publication Data:

      Names: Sadr, Amir, author.

      Title: Mathematical techniques in finance : an introduction / Amir Sadr.

      Description: Hoboken, New Jersey : John Wiley & Sons, Inc., [2022] | Series: Wiley finance series | Includes index.

      Identifiers: LCCN 2022000565 (print) | LCCN 2022000566 (ebook) | ISBN 9781119838401 (cloth) | ISBN 9781119838425 (adobe pdf) | ISBN 9781119838418 (epub)

      Subjects: LCSH: Finance–Mathematical models.

      Classification: LCC HG106 .S23 2022 (print) | LCC HG106 (ebook) | DDC 332.01/5195–dc23/eng/20220112

      LC record available at https://lccn.loc.gov/2022000565

      LC ebook record available at https://lccn.loc.gov/2022000566

      Cover Design: Wiley

      Cover Image: © StationaryTraveller/Getty

      Finance as a distinct field from economics is generally defined as the science or study of the management of funds. The creation of credit, savings, investments, banking institutions, financial markets and products, and risk management all fall under the purview of finance. The unifying themes in finance are time, risk, and money.

      Mathematical or quantitative finance is the application of mathematics to these core areas. While simple arithmetic was enough for accounting and keeping ledgers and double‐entry bookkeeping, Louis Bachelier's doctoral thesis, Théorie de la spéculation and published in 1900, used Brownian motion to study stock prices, and is widely recognized as the beginning of quantitative finance. Since then, the use of increasingly sophisticated and specialized mathematics has created the modern field of quantitative finance encompassing investment theory, asset pricing, derivatives, financial data science, and the emerging area of crypto assets and Decentralized Finance (DeFi).

      This book is the collection of my lecture notes for an elective senior level undergraduate course on mathematics of finance at NYU Courant. The mostly senior and some first year graduate students come from different majors with an even distribution of mathematics, engineering, economics, and business majors. The prerequisites for the book are the same as the ones for the course: basic calculus, probability, and linear algebra. The goal of the book is to introduce the mathematical techniques used in different areas of finance and highlight their usage by drawing from actual markets and products.

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