Download or read book Investment Mathematics for Finance and Treasury Professionals written by Gregory Kitter and published by Wiley. This book was released on 1998-11-13 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Mathematics of Financial Modeling and Investment Management written by Sergio M. Focardi and published by John Wiley & Sons. This book was released on 2004-04-12 with total page 802 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Mathematics of Financial Models written by Kannoo Ravindran and published by John Wiley & Sons. This book was released on 2014-08-18 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Mathematics and Statistics for Financial Risk Management written by Michael B. Miller and published by John Wiley & Sons. This book was released on 2013-12-31 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics and Statistics for Financial Risk Management is a practical guide to modern financial risk management for both practitioners and academics. Now in its second edition with more topics, more sample problems and more real world examples, this popular guide to financial risk management introduces readers to practical quantitative techniques for analyzing and managing financial risk. In a concise and easy-to-read style, each chapter introduces a different topic in mathematics or statistics. As different techniques are introduced, sample problems and application sections demonstrate how these techniques can be applied to actual risk management problems. Exercises at the end of each chapter and the accompanying solutions at the end of the book allow readers to practice the techniques they are learning and monitor their progress. A companion Web site includes interactive Excel spreadsheet examples and templates. Mathematics and Statistics for Financial Risk Management is an indispensable reference for today’s financial risk professional.

Download or read book Mathematical Modeling And Computation In Finance With Exercises And Python And Matlab Computer Codes written by Cornelis W Oosterlee and published by World Scientific. This book was released on 2019-10-29 with total page 1310 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the interplay of stochastics (applied probability theory) and numerical analysis in the field of quantitative finance. The stochastic models, numerical valuation techniques, computational aspects, financial products, and risk management applications presented will enable readers to progress in the challenging field of computational finance.When the behavior of financial market participants changes, the corresponding stochastic mathematical models describing the prices may also change. Financial regulation may play a role in such changes too. The book thus presents several models for stock prices, interest rates as well as foreign-exchange rates, with increasing complexity across the chapters. As is said in the industry, 'do not fall in love with your favorite model.' The book covers equity models before moving to short-rate and other interest rate models. We cast these models for interest rate into the Heath-Jarrow-Morton framework, show relations between the different models, and explain a few interest rate products and their pricing.The chapters are accompanied by exercises. Students can access solutions to selected exercises, while complete solutions are made available to instructors. The MATLAB and Python computer codes used for most tables and figures in the book are made available for both print and e-book users. This book will be useful for people working in the financial industry, for those aiming to work there one day, and for anyone interested in quantitative finance. The topics that are discussed are relevant for MSc and PhD students, academic researchers, and for quants in the financial industry.

Download or read book Mathematics for Finance written by Marek Capinski and published by Springer. This book was released on 2006-04-18 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Investment Mathematics written by Andrew T. Adams and published by John Wiley & Sons. This book was released on 2003-07-01 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Complete Guide to Capital Markets for Quantitative Professionals written by Alex Kuznetsov and published by McGraw Hill Professional. This book was released on 2006-11-22 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Complete Guide to Capital Markets for Quantitative Professionals is a comprehensive resource for readers with a background in science and technology who want to transfer their skills to the financial industry. It is written in a clear, conversational style and requires no prior knowledge of either finance or financial analytics. The book begins by discussing the operation of the financial industry and the business models of different types of Wall Street firms, as well as the job roles those with technical backgrounds can fill in those firms. Then it describes the mechanics of how these firms make money trading the main financial markets (focusing on fixed income, but also covering equity, options and derivatives markets), and highlights the ways in which quantitative professionals can participate in this money-making process. The second half focuses on the main areas of Wall Street technology and explains how financial models and systems are created, implemented, and used in real life. This is one of the few books that offers a review of relevant literature and Internet resources.

Download or read book Introduction to Financial Mathematics written by Donald R. Chambers and published by CRC Press. This book was released on 2021-06-16 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book’s primary objective is to educate aspiring finance professionals about mathematics and computation in the context of financial derivatives. The authors offer a balance of traditional coverage and technology to fill the void between highly mathematical books and broad finance books. The focus of this book is twofold: To partner mathematics with corresponding intuition rather than diving so deeply into the mathematics that the material is inaccessible to many readers. To build reader intuition, understanding and confidence through three types of computer applications that help the reader understand the mathematics of the models. Unlike many books on financial derivatives requiring stochastic calculus, this book presents the fundamental theories based on only undergraduate probability knowledge. A key feature of this book is its focus on applying models in three programming languages –R, Mathematica and EXCEL. Each of the three approaches offers unique advantages. The computer applications are carefully introduced and require little prior programming background. The financial derivative models that are included in this book are virtually identical to those covered in the top financial professional certificate programs in finance. The overlap of financial models between these programs and this book is broad and deep.

Download or read book Finance written by Frank J. Fabozzi and published by John Wiley & Sons. This book was released on 2009-05-13 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: FINANCE Financial managers and investment professionals need a solid foundation in finance principles and applications in order to make the best decisions in today's ever-changing financial world. Written by the experienced author team of Frank Fabozzi and Pamela Peterson Drake, Finance examines the essential elements of this discipline and makes them understandable to a wide array of individuals, from seasoned professionals looking to fine-tune their financial skills to newcomers seeking genuine guidance through the dynamic world of finance. Divided into four comprehensive parts, this reliable resource opens with an informative introduction to the basic tools of investing and financing decision-making financial mathematics and financial analysis (Part I). From here, you'll become familiar with the fundamentals of capital market theory, including financial markets, financial intermediaries, and regulators of financial activities (Part II). You'll also gain a better understanding of interest rates, bond and stock valuation, asset pricing theory, and derivative instruments in this section. Part III moves on to detail decision-making within a business enterprise. Topics touched upon here include capital budgeting that is, whether or not to invest in specific long-lived projects and capital structure. Management of current assets and risk management are also addressed. By covering the basics of investment decision-making, Part IV skillfully wraps up this accessible overview of finance. Beginning with the determination of an investment objective, this part proceeds to demonstrate portfolio theory and performance evaluation, and also takes the time to outline techniques for managing equity and bond portfolios as well as discuss the best ways to use derivatives in the portfolio management process. Filled with in-depth insights and practical advice, Finance puts this field in perspective. And while a lot of ground is covered in this book, this information will help you appreciate and understand the complex financial issues that today's companies and investors constantly face.

Download or read book The Mathematics of Financial Modeling and Investment Management written by Sergio M. Focardi and published by John Wiley & Sons. This book was released on 2004-03-29 with total page 804 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book An Introduction to Mathematical Finance with Applications written by Arlie O. Petters and published by Springer. This book was released on 2016-06-17 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook aims to fill the gap between those that offer a theoretical treatment without many applications and those that present and apply formulas without appropriately deriving them. The balance achieved will give readers a fundamental understanding of key financial ideas and tools that form the basis for building realistic models, including those that may become proprietary. Numerous carefully chosen examples and exercises reinforce the student’s conceptual understanding and facility with applications. The exercises are divided into conceptual, application-based, and theoretical problems, which probe the material deeper. The book is aimed toward advanced undergraduates and first-year graduate students who are new to finance or want a more rigorous treatment of the mathematical models used within. While no background in finance is assumed, prerequisite math courses include multivariable calculus, probability, and linear algebra. The authors introduce additional mathematical tools as needed. The entire textbook is appropriate for a single year-long course on introductory mathematical finance. The self-contained design of the text allows for instructor flexibility in topics courses and those focusing on financial derivatives. Moreover, the text is useful for mathematicians, physicists, and engineers who want to learn finance via an approach that builds their financial intuition and is explicit about model building, as well as business school students who want a treatment of finance that is deeper but not overly theoretical.

Download or read book Introduction to Financial Forecasting in Investment Analysis written by John B. Guerard, Jr. and published by Springer Science & Business Media. This book was released on 2013-01-04 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Math for Financial Literacy written by Todd Knowlton and published by Goodheart-Wilcox Publisher. This book was released on 2012-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Math for Financial Literacy prepares your students for the real world. Written specifically for teens, Math for Financial Literacy provides instruction for relevant math concepts that students can easily relate to their daily lives. In Math for Financial Literacy, students learn how to apply basic math concepts to the tasks they will use in the real world, including earning a paycheck, managing a bank account, using credit cards, and creating a budget. Other practical topics are presented to help students become financially capable and responsible. Each chapter is designed to present content in small segments for optimal comprehension. The following features also support students in the 5E instructional model. Reading Prep activities give students an opportunity to apply the Common Core State Standards for English Language Arts. These activities are noted by the College and Career Readiness icon and will help students meet the College and Career Readiness (CCR) anchor standards for reading and writing. For just-in-time practice of relevant skills, Build Your Math Skills features provide a preview of skills needed in the lesson, while Review Your Math Skills features reinforce those skills after the lesson instruction. See It and Check It features set the structure for presenting examples of each concept. See It demonstrates the concept, and Check It gives students a chance to try it for themselves. Skills Lab provided at the beginning of the text helps students become reacquainted with the math skills they will encounter in the book. There are 16 labs ranging from place value/order to bar and circle graphs. The Financial Literacy Simulation: Stages of Life Project provides students with real-life personal and professional scenarios that require the math skills and problem-solving techniques they have learned during the course. This capstone chapter is divided into life stages to support students as they enter into the adult world of working and financial planning. Assessment features at the end of the chapters allow for the review of key terms and concepts, as well as a spiral review of content from previous chapters. Additional features include: Financial $marts features offer information that applies the content to the practical matter of personal finance. Money Matters features equip students with background knowledge about the chapter topic. Apply Your Technology Skills features allow students to use technology to apply the math concepts they learned to real-life situations. Career Discovery features offer students an inside look at the math skill they will need for the career of their choice, based on the 16 Career Clusters(TM). FYI tips provide relevant information about the chapter content and math principles.

Download or read book Treasury Finance and Development Banking Website written by Biagio Mazzi and published by John Wiley & Sons. This book was released on 2013-09-30 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Credit and credit risk permeates every corner of the financial world. Previously credit tended to be acknowledged only when dealing with counterparty credit risk, high-yield debt or credit-linked derivatives, now it affects all things, including such fundamental concepts as assessing the present value of a future cash flow. The purpose of this book is to analyze credit from the beginning—the point at which any borrowing entity (sovereign, corporate, etc.) decides to raise capital through its treasury operation. To describe the debt management activity, the book presents examples from the development banking world which not only presents a clearer banking structure but in addition sits at the intersection of many topical issues (multi-lateral agencies, quasi-governmental entities, Emerging Markets, shrinking pool of AAA borrowers, etc.). This book covers: Curve construction (instruments, collateralization, discounting, bootstrapping) Credit and fair valuing of loans (modeling, development institutions) Emerging markets and liquidity (liquidity, credit, capital control, development) Bond pricing (credit, illiquid bonds, recovery pricing) Treasury (funding as an asset swap structure, benchmarks for borrowing/investing) Risk and asset liability management (leverage, hedging, funding risk)

Download or read book Risk Management and Financial Derivatives written by Satyajit Das and published by McGraw-Hill Companies. This book was released on 1998 with total page 888 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Risk Management and Financial Derivatives: A Guide to the Mathematics meets the demand for a simple, nontechnical explanation of the methodology of risk management and financial derivatives." "Risk Management and Financial Derivatives provides clear, concise explanations of the mathematics behind today's complex financial risk management topics. An ideal introduction for those new to the subject, it will also serve as an indispensable reference for those already experienced in the field."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved

Download or read book Financial Mathematics Derivatives and Structured Products written by Raymond H. Chan and published by Springer. This book was released on 2019-02-27 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to the financial markets, derivatives, structured products and how the products are modelled and implemented by practitioners. In addition, it equips readers with the necessary knowledge of financial markets needed in order to work as product structurers, traders, sales or risk managers. As the book seeks to unify the derivatives modelling and the financial engineering practice in the market, it will be of interest to financial practitioners and academic researchers alike. Further, it takes a different route from the existing financial mathematics books, and will appeal to students and practitioners with or without a scientific background. The book can also be used as a textbook for the following courses: • Financial Mathematics (undergraduate level) • Stochastic Modelling in Finance (postgraduate level) • Financial Markets and Derivatives (undergraduate level) • Structured Products and Solutions (undergraduate/postgraduate level)