Designed to form the basis of an undergraduate course in mathematical finance, this book builds on mathematical models of bond and stock prices and covers three major areas of mathematical finance that all have an enormous impact on the way modern financial markets operate, namely: Black-Scholes arbitrage pricing of options and other derivative securities; Markowitz portfolio o...(展开全部)

As with the first edition, Mathematics for Finance: An Introduction to Financial Engineering combines financial motivation with mathematical style. Assuming only basic knowledge of probability and calculus, it presents three major areas of mathematical finance, namely Option pricing based on the no-arbitrage principle in discrete and continuous time setting, Markowitz portfolio...(展开全部)

As with the first edition, Mathematics for Finance: An Introduction to Financial Engineering combines financial motivation with mathematical style. Assuming only basic knowledge of probability and calculus, it presents three major areas of mathematical finance, namely Option pricing based on the no-arbitrage principle in discrete and continuous time setting, Markowitz portfolio...(展开全部)

Designed to form the basis of an undergraduate course in mathematical finance, this book builds on mathematical models of bond and stock prices and covers three major areas of mathematical finance that all have an enormous impact on the way modern financial markets operate, namely: Black-Scholes arbitrage pricing of options and other derivative securities; Markowitz portfolio o...(展开全部)

This popular text, publishing Spring 1999 in its Second Edition, introduces the mathematics underlying the pricing of derivatives. The increase of interest in dynamic pricing models stems from their applicability to practical situations: with the freeing of exchange, interest rates, and capital controls, the market for derivative products has matured and pricing models have bec...(展开全部)

This popular text, publishing Spring 1999 in its Second Edition, introduces the mathematics underlying the pricing of derivatives. The increase of interest in dynamic pricing models stems from their applicability to practical situations: with the freeing of exchange, interest rates, and capital controls, the market for derivative products has matured and pricing models have bec...(展开全部)

唐纳德·Ｇ.萨利 (Donald G. Saari) 美国科学院院士、美国艺术与科学院院士、美国科学促进会院士、古根海姆学者奖获得者、美国加州大学尔湾分校经济系和数学系荣休教授。1967年获得普渡大学数学系博士学位，2002被普渡大学授予杰出校友奖。在美国西北大学退休后到美国加州大学尔湾分校担任经济系和数学系双聘资深教授、数理行为科学研究所所长。曾担任多家关于动态系统分析学、经济学、决策分析学等的学术期刊的编委会委员，美国国家科学研究委员会(NRC)数学科学委员会前任主席、国际知名期刊Bulletin of the American Mathematical Society前任主编。曾获美国数学协会Allendoerfer奖、查文尼特奖（Chauvenet Prize）、福特奖（Lester R. Ford Awards）。研究方向横跨数学、天体力学...(展开全部)

This book is a tutorial guide for new users that aims to help you understand the basics of and become accomplished with the use of R for quantitative finance.If you are looking to use R to solve problems in quantitative finance, then this book is for you. A basic knowledge of financial theory is assumed, but familiarity with R is not required. With a focus on using R to solve a wide range of issues, this book provides useful content for both the R beginner and more experience users.