Investment Mathematics PDF Download

Author: Andrew T. Adams
Publisher: John Wiley & Sons
ISBN: 0470859180
Category : Business & Economics
Languages : en
Pages : 436

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Book Description
Investment Mathematics provides an introductory analysis of investments from a quantitative viewpoint, drawing together many of the tools and techniques required by investment professionals. Using these techniques, the authors provide simple analyses of a number of securities including fixed interest bonds, equities, index-linked bonds, foreign currency and derivatives. The book concludes with coverage of other applications, including modern portfolio theory, portfolio performance measurement and stochastic investment models.

Author: Sergio M. Focardi
Publisher: John Wiley & Sons
ISBN: 0471674230
Category : Business & Economics
Languages : en
Pages : 802

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Book Description
the mathematics of financial modeling & investment management The Mathematics of Financial Modeling & Investment Management covers a wide range of technical topics in mathematics and finance-enabling the investment management practitioner, researcher, or student to fully understand the process of financial decision-making and its economic foundations. This comprehensive resource will introduce you to key mathematical techniques-matrix algebra, calculus, ordinary differential equations, probability theory, stochastic calculus, time series analysis, optimization-as well as show you how these techniques are successfully implemented in the world of modern finance. Special emphasis is placed on the new mathematical tools that allow a deeper understanding of financial econometrics and financial economics. Recent advances in financial econometrics, such as tools for estimating and representing the tails of the distributions, the analysis of correlation phenomena, and dimensionality reduction through factor analysis and cointegration are discussed in depth. Using a wealth of real-world examples, Focardi and Fabozzi simultaneously show both the mathematical techniques and the areas in finance where these techniques are applied. They also cover a variety of useful financial applications, such as: * Arbitrage pricing * Interest rate modeling * Derivative pricing * Credit risk modeling * Equity and bond portfolio management * Risk management * And much more Filled with in-depth insight and expert advice, The Mathematics of Financial Modeling & Investment Management clearly ties together financial theory and mathematical techniques.

Author: Gregory Kitter
Publisher: Wiley
ISBN: 9780471252948
Category : Business & Economics
Languages : en
Pages : 0

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Book Description
For Finance and Treasury professionals to effectively pitch, sell,and comprehend the true appeal and relevance of a particularsecurity, there is nothing more important than knowing how thevalue of said security has been determined. While punching numbersinto a computer may provide the information needed, it isnevertheless essential to have a firm grasp of the valuationconcepts in order to make the best, most informed decisions.Offering a straightforward, accessible approach not found anywhereelse, this comprehensive new book provides a clear-cut road mapthrough the mathematical concepts associated with the investmentssector of Treasury management. Written by an expert in the field, Investment Mathematics forFinance and Treasury Professionals explains the principles andformulae used in the fixedincome cash markets. It presents anin-depth, yet practical look at the applications associated withthese money and capital markets instruments. The book also coverscalculations and applications in the foreign exchange and equitiesmarkets. The same in-depth coverage is applied to the variousfixed-income and foreign exchange derivatives markets used as bothspeculative and hedging tools. Spanning the spectrum fromprice/yield changes to risk/return, and packed with numerousexamples that illustrate key concepts, this exhaustive resourceincludes: * Yield spread analysis--methods of price/yield quotation, yieldspreads by maturity, off-the-run vs. on-the-run * Price/yield sensitivity--hedge ratios, basis point value, dollarduration, convexity * Term structure of interest rates different yield curvestructures, zero coupon yield curve, Treasury trading STRIPS * Foreign exchange--crossrates, spot rates, forward points, coveredinterest arbitrage * Options--plain vanilla vs. exotic options, over-the-counter vs.exchange-traded options, understanding option valuation models, andoption hedging and trading strategies * Interest rate swaps, swaptions, caps, floors, collars, inversefloaters * Risk/return--valuation theory, capital asset pricing model, valueat risk Complete with supporting appendixes that contain statisticalinformation on such essentials as historical interest ratepatterns, conversion factors for Treasury bond futures, thestandard normal distribution, and day count basis for differentbonds, Investment Mathematics for Finance and TreasuryProfessionals is an indispensable reference for anyone involvedwith corporate and municipal treasury functions. Providing Finance and Treasury professionals the fundamentalinformation necessary to understand the mathematical concepts andapplications used in investment decisions, this in-depth andaccessible resource explains and clarifies the concepts behindinvestment mathematics. With numerous examples and comprehensiveappendixes containing important statistical data, InvestmentMathematics for Finance and Treasury Professionals coverseverything from price/yield changes and yield spread analysis toterm structure of interest rates, derivatives, and risk/return.

Author: David Lovelock
Publisher: Springer Science & Business Media
ISBN: 0387681116
Category : Mathematics
Languages : en
Pages : 297

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Book Description
This is an undergraduate textbook on the basic aspects of personal savings and investing with a balanced mix of mathematical rigor and economic intuition. It uses routine financial calculations as the motivation and basis for tools of elementary real analysis rather than taking the latter as given. Proofs using induction, recurrence relations and proofs by contradiction are covered. Inequalities such as the Arithmetic-Geometric Mean Inequality and the Cauchy-Schwarz Inequality are used. Basic topics in probability and statistics are presented. The student is introduced to elements of saving and investing that are of life-long practical use. These include savings and checking accounts, certificates of deposit, student loans, credit cards, mortgages, buying and selling bonds, and buying and selling stocks. The book is self contained and accessible. The authors follow a systematic pattern for each chapter including a variety of examples and exercises ensuring that the student deals with realities, rather than theoretical idealizations. It is suitable for courses in mathematics, investing, banking, financial engineering, and related topics.

Author: Michael C. Thomsett
Publisher: John Wiley & Sons
ISBN: 9780471506645
Category : Business & Economics
Languages : en
Pages : 264

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Book Description
This complete reference guide is as indispensable to the investor as a calculator--contains every important formula and ratio used in investing and money management, including stocks, bonds, futures, and options. Covers the time value of money, rates of return, compound interest, amortization, fundamental and technical analysis, futures and options pricing, plus math for the bond market, real estate market, mutual funds, and pooled investments. Includes eighty charts, tables, and illustrations, plus appendixes explaining key ratios and formulas.

Author: A. Adams
Publisher: Springer
ISBN: 9781853339370
Category : Business & Economics
Languages : en
Pages : 428

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Book Description
The book provides a basis for understanding investment mathemaics and statistics, together with more advanced applications in investment analysis. A special feature is the large number of worked examples illustrating the theoretical concepts discussed.

Author: L. C. G. Rogers
Publisher: Springer Science & Business Media
ISBN: 3642352022
Category : Mathematics
Languages : en
Pages : 163

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Book Description
Readers of this book will learn how to solve a wide range of optimal investment problems arising in finance and economics. Starting from the fundamental Merton problem, many variants are presented and solved, often using numerical techniques that the book also covers. The final chapter assesses the relevance of many of the models in common use when applied to data.

Author: Kannoo Ravindran
Publisher: John Wiley & Sons
ISBN: 1118235525
Category : Business & Economics
Languages : en
Pages : 344

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Book Description
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.

Author: Lawrence N. Dworsky
Publisher: John Wiley & Sons
ISBN: 0470538384
Category : Mathematics
Languages : en
Pages : 262

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Book Description
A user-friendly presentation of the essential concepts and tools for calculating real costs and profits in personal finance Understanding the Mathematics of Personal Finance explains how mathematics, a simple calculator, and basic computer spreadsheets can be used to break down and understand even the most complex loan structures. In an easy-to-follow style, the book clearly explains the workings of basic financial calculations, captures the concepts behind loans and interest in a step-by-step manner, and details how these steps can be implemented for practical purposes. Rather than simply providing investment and borrowing strategies, the author successfully equips readers with the skills needed to make accurate and effective decisions in all aspects of personal finance ventures, including mortgages, annuities, life insurance, and credit card debt. The book begins with a primer on mathematics, covering the basics of arithmetic operations and notations, and proceeds to explore the concepts of interest, simple interest, and compound interest. Subsequent chapters illustrate the application of these concepts to common types of personal finance exchanges, including: Loan amortization and savings Mortgages, reverse mortgages, and viatical settlements Prepayment penalties Credit cards The book provides readers with the tools needed to calculate real costs and profits using various financial instruments. Mathematically inclined readers will enjoy the inclusion of mathematical derivations, but these sections are visually distinct from the text and can be skipped without the loss of content or complete understanding of the material. In addition, references to online calculators and instructions for building the calculations involved in a spreadsheet are provided. Furthermore, a related Web site features additional problem sets, the spreadsheet calculators that are referenced and used throughout the book, and links to various other financial calculators. Understanding the Mathematics of Personal Finance is an excellent book for finance courses at the undergraduate level. It is also an essential reference for individuals who are interested in learning how to make effective financial decisions in their everyday lives.

Author: John B. Guerard, Jr.
Publisher: Springer Science & Business Media
ISBN: 1461452392
Category : Business & Economics
Languages : en
Pages : 245

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Book Description
Forecasting—the art and science of predicting future outcomes—has become a crucial skill in business and economic analysis. This volume introduces the reader to the tools, methods, and techniques of forecasting, specifically as they apply to financial and investing decisions. With an emphasis on "earnings per share" (eps), the author presents a data-oriented text on financial forecasting, understanding financial data, assessing firm financial strategies (such as share buybacks and R&D spending), creating efficient portfolios, and hedging stock portfolios with financial futures. The opening chapters explain how to understand economic fluctuations and how the stock market leads the general economic trend; introduce the concept of portfolio construction and how movements in the economy influence stock price movements; and introduce the reader to the forecasting process, including exponential smoothing and time series model estimations. Subsequent chapters examine the composite index of leading economic indicators (LEI); review financial statement analysis and mean-variance efficient portfolios; and assess the effectiveness of analysts’ earnings forecasts. Using data from such firms as Intel, General Electric, and Hitachi, Guerard demonstrates how forecasting tools can be applied to understand the business cycle, evaluate market risk, and demonstrate the impact of global stock selection modeling and portfolio construction.