A Primer for the Mathematics of Financial Engineering
Title | A Primer for the Mathematics of Financial Engineering PDF eBook |
Author | Dan Stefanica |
Publisher | |
Pages | 332 |
Release | 2011 |
Genre | Business mathematics |
ISBN | 9780979757624 |
A Primer for Financial Engineering
Title | A Primer for Financial Engineering PDF eBook |
Author | Ali N. Akansu |
Publisher | Academic Press |
Pages | 156 |
Release | 2015-03-25 |
Genre | Technology & Engineering |
ISBN | 0128017503 |
This book bridges the fields of finance, mathematical finance and engineering, and is suitable for engineers and computer scientists who are looking to apply engineering principles to financial markets. The book builds from the fundamentals, with the help of simple examples, clearly explaining the concepts to the level needed by an engineer, while showing their practical significance. Topics covered include an in depth examination of market microstructure and trading, a detailed explanation of High Frequency Trading and the 2010 Flash Crash, risk analysis and management, popular trading strategies and their characteristics, and High Performance DSP and Financial Computing. The book has many examples to explain financial concepts, and the presentation is enhanced with the visual representation of relevant market data. It provides relevant MATLAB codes for readers to further their study. Please visit the companion website on http://booksite.elsevier.com/9780128015612/ - Provides engineering perspective to financial problems - In depth coverage of market microstructure - Detailed explanation of High Frequency Trading and 2010 Flash Crash - Explores risk analysis and management - Covers high performance DSP & financial computing
Principles of Financial Engineering
Title | Principles of Financial Engineering PDF eBook |
Author | Robert Kosowski |
Publisher | Academic Press |
Pages | 893 |
Release | 2014-11-26 |
Genre | Business & Economics |
ISBN | 0123870070 |
Principles of Financial Engineering, Third Edition, is a highly acclaimed text on the fast-paced and complex subject of financial engineering. This updated edition describes the "engineering" elements of financial engineering instead of the mathematics underlying it. It shows how to use financial tools to accomplish a goal rather than describing the tools themselves. It lays emphasis on the engineering aspects of derivatives (how to create them) rather than their pricing (how they act) in relation to other instruments, the financial markets, and financial market practices. This volume explains ways to create financial tools and how the tools work together to achieve specific goals. Applications are illustrated using real-world examples. It presents three new chapters on financial engineering in topics ranging from commodity markets to financial engineering applications in hedge fund strategies, correlation swaps, structural models of default, capital structure arbitrage, contingent convertibles, and how to incorporate counterparty risk into derivatives pricing. Poised midway between intuition, actual events, and financial mathematics, this book can be used to solve problems in risk management, taxation, regulation, and above all, pricing. A solutions manual enhances the text by presenting additional cases and solutions to exercises. This latest edition of Principles of Financial Engineering is ideal for financial engineers, quantitative analysts in banks and investment houses, and other financial industry professionals. It is also highly recommended to graduate students in financial engineering and financial mathematics programs. - The Third Edition presents three new chapters on financial engineering in commodity markets, financial engineering applications in hedge fund strategies, correlation swaps, structural models of default, capital structure arbitrage, contingent convertibles and how to incorporate counterparty risk into derivatives pricing, among other topics - Additions, clarifications, and illustrations throughout the volume show these instruments at work instead of explaining how they should act - The solutions manual enhances the text by presenting additional cases and solutions to exercises
Mathematics for Finance
Title | Mathematics for Finance PDF eBook |
Author | Marek Capinski |
Publisher | Springer |
Pages | 317 |
Release | 2006-04-18 |
Genre | Business & Economics |
ISBN | 1852338466 |
This textbook contains the fundamentals for an undergraduate course in mathematical finance aimed primarily at students of mathematics. Assuming only a basic knowledge of probability and calculus, the material is presented in a mathematically rigorous and complete way. The book covers the time value of money, including the time structure of interest rates, bonds and stock valuation; derivative securities (futures, options), modelling in discrete time, pricing and hedging, and many other core topics. With numerous examples, problems and exercises, this book is ideally suited for independent study.
Solutions Manual - a Linear Algebra Primer for Financial Engineering
Title | Solutions Manual - a Linear Algebra Primer for Financial Engineering PDF eBook |
Author | Dan Stefanica |
Publisher | |
Pages | |
Release | 2016-08-22 |
Genre | |
ISBN | 9780979757662 |
A Linear Algebra Primer for Financial Engineering
Title | A Linear Algebra Primer for Financial Engineering PDF eBook |
Author | Dan Stefanica |
Publisher | |
Pages | 324 |
Release | 2014-09-25 |
Genre | Business mathematics |
ISBN | 9780979757655 |
Monte Carlo Methods in Financial Engineering
Title | Monte Carlo Methods in Financial Engineering PDF eBook |
Author | Paul Glasserman |
Publisher | Springer Science & Business Media |
Pages | 603 |
Release | 2013-03-09 |
Genre | Mathematics |
ISBN | 0387216170 |
From the reviews: "Paul Glasserman has written an astonishingly good book that bridges financial engineering and the Monte Carlo method. The book will appeal to graduate students, researchers, and most of all, practicing financial engineers [...] So often, financial engineering texts are very theoretical. This book is not." --Glyn Holton, Contingency Analysis