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Author: Alfred Kahl Publisher: ISBN: 9781501006685 Category : Languages : en Pages : 112
Book Description
This book is a brief and handy guide for the use of Microsoft Excel to solve financial mathematics problems. It presents step-by-step instructions for solving the most important time value of money problems along with brief explanations of the financial theory relevant to these problems. Thus, it provides not only the how to but also the why of financial mathematics problem solving. The value of a dollar today is not the same as the value of a dollar tomorrow or sometime in the future. Thus, the principle of time value equivalence allows us to compare monetary values from different time periods. Investors and managers forecast expected cash flows from potential investment projects. Then they discount the cash flows to find their present value. Then they compare this present value to the cost of making the investment. If the net present value is positive (exceeds the cost) they make the investment. Everyone should be aware of the time value of money and the net present value decision rule.
Author: Alfred Kahl Publisher: ISBN: 9781501006685 Category : Languages : en Pages : 112
Book Description
This book is a brief and handy guide for the use of Microsoft Excel to solve financial mathematics problems. It presents step-by-step instructions for solving the most important time value of money problems along with brief explanations of the financial theory relevant to these problems. Thus, it provides not only the how to but also the why of financial mathematics problem solving. The value of a dollar today is not the same as the value of a dollar tomorrow or sometime in the future. Thus, the principle of time value equivalence allows us to compare monetary values from different time periods. Investors and managers forecast expected cash flows from potential investment projects. Then they discount the cash flows to find their present value. Then they compare this present value to the cost of making the investment. If the net present value is positive (exceeds the cost) they make the investment. Everyone should be aware of the time value of money and the net present value decision rule.
Author: Alastair Day Publisher: Pearson UK ISBN: 1292067535 Category : Business & Economics Languages : en Pages : 428
Book Description
Fully updated and compliant with Excel 2013, this clearly explains the basic calculations for mathematical finance, backed up with simple templates for further use and development, and a workbook with exercises and solutions at the end of each chapter. The examples used are relevant to both managers and students in the UK and overseas. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
Author: William Rentz Publisher: Createspace Independent Publishing Platform ISBN: 9781548099503 Category : Languages : en Pages : 124
Book Description
This book is a brief and handy guide for the use of MS Excel 2016 to create spreadsheets for the solution of financial mathematics problems. It also includes brief theoretical explanations related to these problems. Thus, it provides not only the How-to but also the why of financial mathematics problem solving.
Author: Matt Davison Publisher: CRC Press ISBN: 1439871698 Category : Business & Economics Languages : en Pages : 523
Book Description
Teach Your Students How to Become Successful Working Quants Quantitative Finance: A Simulation-Based Introduction Using Excel provides an introduction to financial mathematics for students in applied mathematics, financial engineering, actuarial science, and business administration. The text not only enables students to practice with the basic techniques of financial mathematics, but it also helps them gain significant intuition about what the techniques mean, how they work, and what happens when they stop working. After introducing risk, return, decision making under uncertainty, and traditional discounted cash flow project analysis, the book covers mortgages, bonds, and annuities using a blend of Excel simulation and difference equation or algebraic formalism. It then looks at how interest rate markets work and how to model bond prices before addressing mean variance portfolio optimization, the capital asset pricing model, options, and value at risk (VaR). The author next focuses on binomial model tools for pricing options and the analysis of discrete random walks. He also introduces stochastic calculus in a nonrigorous way and explains how to simulate geometric Brownian motion. The text proceeds to thoroughly discuss options pricing, mostly in continuous time. It concludes with chapters on stochastic models of the yield curve and incomplete markets using simple discrete models. Accessible to students with a relatively modest level of mathematical background, this book will guide your students in becoming successful quants. It uses both hand calculations and Excel spreadsheets to analyze plenty of examples from simple bond portfolios. The spreadsheets are available on the book’s CRC Press web page.
Author: Bill Dalton Publisher: Cambridge University Press ISBN: 1139474057 Category : Business & Economics Languages : en Pages : 438
Book Description
Financial Products provides a step-by-step guide to some of the most important ideas in financial mathematics. It describes and explains interest rates, discounting, arbitrage, risk neutral probabilities, forward contracts, futures, bonds, FRA and swaps. It shows how to construct both elementary and complex (Libor) zero curves. Options are described, illustrated and then priced using the Black Scholes formula and binomial trees. Finally, there is a chapter describing default probabilities, credit ratings and credit derivatives (CDS, TRS, CSO and CDO). An important feature of the book is that it explains this range of concepts and techniques in a way that can be understood by those with only a basic understanding of algebra. Many of the calculations are illustrated using Excel spreadsheets, as are some of the more complex algebraic processes. This accessible approach makes it an ideal introduction to financial products for undergraduates and those studying for professional financial qualifications.
Author: Matt Davison Publisher: CRC Press ISBN: 143987168X Category : Business & Economics Languages : en Pages : 535
Book Description
Teach Your Students How to Become Successful Working Quants Quantitative Finance: A Simulation-Based Introduction Using Excel provides an introduction to financial mathematics for students in applied mathematics, financial engineering, actuarial science, and business administration. The text not only enables students to practice with the basic techniques of financial mathematics, but it also helps them gain significant intuition about what the techniques mean, how they work, and what happens when they stop working. After introducing risk, return, decision making under uncertainty, and traditional discounted cash flow project analysis, the book covers mortgages, bonds, and annuities using a blend of Excel simulation and difference equation or algebraic formalism. It then looks at how interest rate markets work and how to model bond prices before addressing mean variance portfolio optimization, the capital asset pricing model, options, and value at risk (VaR). The author next focuses on binomial model tools for pricing options and the analysis of discrete random walks. He also introduces stochastic calculus in a nonrigorous way and explains how to simulate geometric Brownian motion. The text proceeds to thoroughly discuss options pricing, mostly in continuous time. It concludes with chapters on stochastic models of the yield curve and incomplete markets using simple discrete models. Accessible to students with a relatively modest level of mathematical background, this book will guide your students in becoming successful quants. It uses both hand calculations and Excel spreadsheets to analyze plenty of examples from simple bond portfolios. The spreadsheets are available on the book’s CRC Press web page.
Author: Donny C. F. Lai Publisher: John Wiley & Sons ISBN: 1118179080 Category : Business & Economics Languages : en Pages : 372
Book Description
"Professional Financial Computing Using Excel and VBA is an admirable exposition that bridges the theoretical underpinnings of financial engineering and its application which usually appears as a "black-box" software application. The book opens the black-box and reveals the architecture of risk-modeling and financial engineering based on industry-standard stochastic models by utilizing Excel and VBA functionality to create a robust and practical modeling tool-kit. Financial engineering professionals who purchase this book will have a jumpstart advantage for their customized financial engineering and modeling needs." Dr. Cameron Wicentowich Vice President, Treasury Analytics Canadian Imperial Bank of Commerce (CIBC) "Spreadsheet modeling for finance has become a standard course in the curriculum of many Quantitative Finance programs since the Excel-based Visual Basic programming is now widely used in constructing optimal portfolios, pricing structured products and managing risks. Professional Financial Computing Using Excel and VBA is written by a unique team of finance, physics and computer academics and practitioners. It is a good reference for those who are studying for a Masters degree in Financial Engineering and Risk Management. It can also be useful for financial engineers to jump-start a project on designing structured products, modeling interest term structure or credit risks." Dr. Jin Zhang Director of Master of Finance Program and Associate Professor The University of Hong Kong "Excel has been one of the most powerful tools for financial planning and computing over the last few years. Most users utilize a fraction of its capabilities. One of the reasons is the limited availability of books that cover the advanced features of Excel for Finance. Professional Financial Computing Using Excel and VBA goes the extra mile and deals with the Excel tools many professionals call for. This book is a must for professionals or students dealing with financial engineering, financial risk management, computational finance or mathematical finance. I loved the way the authors covered the material using real life, hands-on examples." Dr. Isaac Gottlieb Temple University Author, Next Generation Excel: Modeling in Excel for Analysts and MBAs
Author: Keith A. Allman Publisher: John Wiley & Sons ISBN: 1118137221 Category : Business & Economics Languages : en Pages : 220
Book Description
"I've worked with simulation in business for over 20 years, and Allman really nails it with this book. I admit that I own his previous book on structured finance cash flows, but I was surprised by what I found in here. He addresses the fundamental questions of how decision makers react to simulations and his read was very much in accordance with what I've experienced myself. When it came to the nuts and bolts of describing the different types of simulation analysis the book becomes incredibly detailed. There is working code and models for a fantastic array of the most common simulation problems. If you're so inclined, the book very carefully steps through the tricky math needed to really understand the theory behind stochastic modeling in finance. If you're preparing models that include any kind of randomization or stochastic modeling component, this book is a must-read, a tremendous value and time-saver." — David Brode of The Brode Group A practical guide to understanding and implementing financial simulation modeling As simulation techniques become more popular among the financial community and a variety of sub-industries, a thorough understanding of theory and implementation is critical for practitioners involved in portfolio management, risk management, pricing, and capital budgeting. Financial Simulation Modeling in Excel contains the information you need to make the most informed decisions possible in your professional endeavors. Financial Simulation Modeling in Excel contains a practical, hands-on approach to learning complex financial simulation methodologies using Excel and VBA as a medium. Crafted in an easy to understand format, this book is suitable for anyone with a basic understanding of finance and Excel. Filled with in-depth insights and expert advice, each chapter takes you through the theory behind a simulation topic and the implementation of that same topic in Excel/VBA in a step-by-step manner. Organized in an easy-to-follow fashion, this guide effectively walks you through the process of creating and implementing risk models in Excel A companion website contains all the Excel models risk experts and quantitative analysts need to practice and confirm their results as they progress Keith Allman is the author of other successful modeling books, including Corporate Valuation Modeling and Modeling Structured Finance Cash Flows with Microsoft Excel Created for those with some background in finance and experience in Excel, this reliable resource shows you how to effectively perform sound financial simulation modeling, even if you've yet to do extensive modeling up to this point in your professional or academic career.
Author: Alfred Kahl
Author: Alfred Kahl
Author: Alastair Day
Author: Alastair Day
Author: Alastair L. Day
Author: William Rentz
Author: Matt Davison
Author: Bill Dalton
Author: Matt Davison
Author: Donny C. F. Lai
Author: Keith A. Allman