Applied Mathematics for Personal Finance
Applied Mathematics for Personal Finance

Author: Aaron Stevens

Publisher: CreateSpace

Published: 2015-01-10

Total Pages: 224

ISBN-13: 9781506199443

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Applied Mathematics for Personal Finance provides a general introduction to the ways that mathematics can be applied to personal financial decision-making. This book is suitable for college students with no previous background in economics or finance; only familiarity with high school algebra is assumed.This book demonstrates how you can utilize math skills you already know in application areas that may be unfamiliar; it also introduces some new math skills that you can apply to familiar problems. The book emphasizes the development and application of the economic life-cycle model as the framework for evaluating all of your personal financial decisions. Economists, including six Nobel Laureates, have spent close to a century developing the concept of life-cycle consumption smoothing. “Smoothing” refers to the need to spread your economic resources over your lifetime, taking into account that your future is highly uncertain.

Master Math
Master Math

Author: Mary Hansen

Publisher: Cengage Learning

Published: 2011-05

Total Pages: 0

ISBN-13: 9781435457881

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"Master everything from banking and loan interest to budgets and business costs"--Cover.

Mathematics for Business and Personal Finance, Student Edition
Mathematics for Business and Personal Finance, Student Edition

Author: McGraw-Hill Education

Publisher: McGraw-Hill Education

Published: 2009-01-14

Total Pages: 0

ISBN-13: 9780078805059

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Glencoe’s Mathematics for Business and Personal Finance is the only text on the market that offers teachers point-of-use online professional development, interactive online help for students and the option of purchasing an interactive online text with a grade book. As always, we have maintained our exclusive coverage of key core academic content, and our research-based reading strategies.

Methods of Mathematical Finance
Methods of Mathematical Finance

Author: Ioannis Karatzas

Publisher: Springer Science & Business Media

Published: 1998-08-13

Total Pages: 427

ISBN-13: 0387948392

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This monograph is a sequel to Brownian Motion and Stochastic Calculus by the same authors. Within the context of Brownian-motion- driven asset prices, it develops contingent claim pricing and optimal consumption/investment in both complete and incomplete markets. The latter topic is extended to a study of equilibrium, providing conditions for the existence and uniqueness of market prices which support trading by several heterogeneous agents. Although much of the incomplete-market material is available in research papers, these topics are treated for the first time in a unified manner. The book contains an extensive set of references and notes describing the field, including topics not treated in the text. This monograph should be of interest to researchers wishing to see advanced mathematics applied to finance. The material on optimal consumption and investment, leading to equilibrium, is addressed to the theoretical finance community. The chapters on contingent claim valuation present techniques of practical importance, especially for pricing exotic options. Also available by Ioannis Karatzas and Steven E. Shreve, Brownian Motion and Stochastic Calculus, Second Edition, Springer-Verlag New York, Inc., 1991, 470 pp., ISBN 0-387- 97655-8.

Introduction to Financial Mathematics
Introduction to Financial Mathematics

Author: Kevin J. Hastings

Publisher:

Published: 2024-10-14

Total Pages: 0

ISBN-13: 9781032920146

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Introduction to Financial Mathematics motivates students through a discussion of personal finances and portfolio management. The book covers nearly all of the syllabus topics of the Financial Mathematics Actuarial examination to provide students with the foundation they require for future studies and in their careers. It begins

Financial Calculus
Financial Calculus

Author: Martin Baxter

Publisher: Cambridge University Press

Published: 1996-09-19

Total Pages: 252

ISBN-13: 9780521552899

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A rigorous introduction to the mathematics of pricing, construction and hedging of derivative securities.

The Concepts and Practice of Mathematical Finance
The Concepts and Practice of Mathematical Finance

Author: Mark S. Joshi

Publisher: Cambridge University Press

Published: 2008-10-30

Total Pages: 0

ISBN-13: 0521514088

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The second edition of a successful text providing the working knowledge needed to become a good quantitative analyst. An ideal introduction to mathematical finance, readers will gain a clear understanding of the intuition behind derivatives pricing, how models are implemented, and how they are used and adapted in practice.

Mathematics for Finance
Mathematics for Finance

Author: Marek Capinski

Publisher: Springer

Published: 2006-04-18

Total Pages: 317

ISBN-13: 1852338466

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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.

The Mathematics of Financial Models
The Mathematics of Financial Models

Author: Kannoo Ravindran

Publisher: John Wiley & Sons

Published: 2014-08-18

Total Pages: 344

ISBN-13: 1118235525

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Learn how quantitative models can help fight client problems head-on Before financial problems can be solved, they need to be fully understood. Since in-depth quantitative modeling techniques are a powerful tool to understanding the drivers associated with financial problems, one would need a solid grasp of these techniques before being able to unlock their full potential of the methods used. In The Mathematics of Financial Models, the author presents real world solutions to the everyday problems facing financial professionals. With interactive tools such as spreadsheets for valuation, pricing, and modeling, this resource combines highly mathematical quantitative analysis with useful, practical methodologies to create an essential guide for investment and risk-management professionals facing modeling issues in insurance, derivatives valuation, and pension benefits, among others. In addition to this, this resource also provides the relevant tools like matrices, calculus, statistics and numerical analysis that are used to build the quantitative methods used. Financial analysts, investment professionals, risk-management professionals, and graduate students will find applicable information throughout the book, and gain from the self-study exercises and the refresher course on key mathematical topics. Equipped with tips and information, The Mathematics of Financial Models Provides practical methodologies based on mathematical quantitative analysis to help analysts, investment and risk-management professionals better navigate client issues Contains interactive tools that demonstrate the power of analysis and modeling Helps financial professionals become more familiar with the challenges across a range of industries Includes a mathematics refresher course and plenty of exercises to get readers up to speed The Mathematics of Financial Models is an in-depth guide that helps readers break through common client financial problems and emerge with clearer strategies for solving issues in the future.

Statistics and Data Analysis for Financial Engineering
Statistics and Data Analysis for Financial Engineering

Author: David Ruppert

Publisher: Springer

Published: 2015-04-21

Total Pages: 736

ISBN-13: 1493926144

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The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest.