Introductory Mathematical Analysis for Quantitative Finance

ISBN-13: 9781032336572 / Angielski / Miękka / 2022 / 324 str.

Daniele Ritelli; Giulia Spaletta

Opis

This textbook is designed to enable students with little knowledge of mathematical analysis to engage with modern quantitative finance. The exposition of the topics is concise as chapters are intended to represent a preliminary contact with the mathematical concepts used in QF.

Recenzje

Introductory Mathematical Analysis for Quantitative Finance is one of those rare textbooks designed to introduce upper undergraduates or beginning graduate students in Economics and Management to the indispensable analytic tools needed for approaching the technicalities of Mathematical Finance. The text assumes a minimum level of knowledge in Advanced Calculus and Linear Algebra and leads the reader to the first notions of Measure Theory and Fourier transform to arrive at the solution of the Black Scholes equation. The book is very well written and is perfect for students studying Economics and Management.

-Vincenzo Vespri, Università degli Studi di Firenze

"This book will be an invaluable support to those approaching Quantitative Finance from a non-quantitative undergraduate path, such as Economics students. It allows students to have a rigorous focus on the main subjects commonly used in applied sciences and particularly in Quantitative Finance."

-Silvia Romagnoli, Università di Bologna

Spis treści

Euclidean space.  Sequences and series of functions.  Multidimensional differential calculus.  Ordinary differential equations of first order: methods for explicit solutions. Linear differential equations of second order.  Prologue to Measure theory.  Lebesgue integral.  Radon-Nikodym theorem.  Multiple integrals. Gamma and Beta functions. Fourier ransform on the real line. Parabolic equations.

O autorze

Daniele Ritelli is associate professor of mathematical analysis at the Department of Statistical Sciences of the University of Bologna, in Italy. He teaches ordinary and partial differential equations and special functions in various three-year and magister degree courses in statistics and finance. His research interests concern special functions, ordinary differential equations and pure and applied mathematics.

Giulia Spaletta is associate professor of numerical analysis at the Department of Statistical Sciences of the University of Bologna, in Italy. She lectures in various three-year and master degree courses in computer science, statistics and economics. Her research interests include numerical error analysis in linear algebra and differential equations and numerical modeling in biomedical engineering.