Financial Modeling

Author: Sebastian Prexl,Michael Bloss,Dietmar Ernst,Christoph Haas,Joachim Häcker,Bernhard Röck

Publisher: N.A

ISBN: 9783791035413

Category:

Page: 640

View: 7338

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Financial Modeling: Eine empirische Überprüfung des CAPM am österreichischen Aktienmarkt

Author: Rudi Oberdorfer

Publisher: GRIN Verlag

ISBN: 363864345X

Category:

Page: 60

View: 3793

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Studienarbeit aus dem Jahr 2004 im Fachbereich BWL - Bank, Borse, Versicherung, Note: 1 A, Alpen-Adria-Universitat Klagenfurt, 11 Literaturquellen, 1 Internetquelle Quellen im Literaturverzeichnis, Sprache: Deutsch, Abstract: Die klassische Portfoliotheorie hat die Beziehung zwischen Risiko und Rendite in das Zentrum der Betrachtung geruckt. Dem Marktportfolio kommt dabei besondere Bedeutung zu. Das Capital Asset Pricing Model (CAPM) besagt, dass die erwartete Rendite der Einzelanlagen linear vom Beta ( ) abhangt. Das CAPM ist zunachst ein rein logisch und mathematisch abgeleitetes Ergebnis, das, wenn es aus den Pramissen korrekt abgeleitet wurde, richtig ist. Die Problemstellung bezuglich des CAPM ist jedoch, dessen empirischer Gehalt. Kann es die wirklichen Finanzmarkte gut beurteilen? Zu Beginn dieser Arbeit kommt es zu einer Begriffserklarung der haufig verwendeten Begriffe Rendite und Risiko und die Darstellung des Risk-Return-Diagrammes der ATX-Werte. Danach wird mit Hilfe zweier effizienter Portfolios basierend auf der Varianz-Kovarianz-Matrix die Effizienzkurve dieser ATX-Werte dargestellt. In der Folge wird im Kapitel 3 die Kapitalmarktlinie ermittelt, worauf das Marktportfolio folgt. Den grossten Teil dieser Arbeit umfasst das CAPM. Im Kapitel 4 und 5 wird darauf genau eingegangen. In diesem Kapitel wird das Augenmerk auf eine Ubersicht zum CAPM, die Wertpapierlinie und ATX-Werte, die Modellkritik bezuglich CAPM und die empirischen Ergebnisse des CAPM gelegt

Financial Modeling

Author: Sebastian Prexl

Publisher: N.A

ISBN: 9783791028385

Category:

Page: 506

View: 2143

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Nachvollziehbare Modelle zur Beurteilung komplexer Finanzprodukte. Die Autoren bieten Studenten einen anwendungsorientierten Leitfaden zu den zentralen Themenkomplexen Corporate Finance, Derivate und Portfoliomanagement. Zwei Workshops zu Microsoft Excel® und der Programmiersprache VBA® komplettieren das finanzwirtschaftliche Know-how. Der Kurscharakter des Buches und die praxisnahen Beispiele, die zusätzlich als Download-Angebot zur Verfügung stehen, ermöglichen ein schnelles und interaktives Lernen. Als Nachschlagewerk leistet der Band auch Praktikern wertvolle Dienste.

Financial Modeling

Author: Simon Benninga,Simon Z. Benninga,Benjamin Czaczkes

Publisher: MIT Press

ISBN: 9780262024822

Category: Business & Economics

Page: 622

View: 2176

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Too often, finance courses stop short of making a connection between textbook finance and the problems of real-world business. "Financial Modeling" bridges this gap between theory and practice by providing a nuts-and-bolts guide to solving common financial problems with spreadsheets. The CD-ROM contains Excel* worksheets and solutions to end-of-chapter exercises. 634 illustrations.

Financial Modeling Using Excel and VBA

Author: Chandan Sengupta

Publisher: John Wiley & Sons

ISBN: 9780471267683

Category: Business & Economics

Page: 857

View: 6997

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"Reviews all the necessary financial theory and concepts, and walks you through a wide range of real-world financial models" - cover.

Financial Modeling in Excel For Dummies

Author: Danielle Stein Fairhurst

Publisher: John Wiley & Sons

ISBN: 1119357543

Category: Business & Economics

Page: 336

View: 626

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Comprehensive guide to learning how to create informative, enlightening financial models today. Not a math whiz or an Excel power-user? No problem! All you need is a basic understanding of Excel to start building simple models with practical hands-on exercises and before you know it, you'll be modeling your way to optimized profits for your business in no time

The Oxford Guide to Financial Modeling

Applications for Capital Markets, Corporate Finance, Risk Management and Financial Institutions

Author: Thomas S. Y. Ho,Sang Bin Lee

Publisher: Oxford University Press

ISBN: 9780199727704

Category: Business & Economics

Page: 768

View: 2529

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The essential premise of this book is that theory and practice are equally important in describing financial modeling. In it the authors try to strike a balance in their discussions between theories that provide foundations for financial models and the institutional details that provide the context for applications of the models. The book presents the financial models of stock and bond options, exotic options, investment grade and high-yield bonds, convertible bonds, mortgage-backed securities, liabilities of financial institutions--the business model and the corporate model. It also describes the applications of the models to corporate finance. Furthermore, it relates the models to financial statements, risk management for an enterprise, and asset/liability management with illiquid instruments. The financial models are progressively presented from option pricing in the securities markets to firm valuation in corporate finance, following a format to emphasize the three aspects of a model: the set of assumptions, the model specification, and the model applications. Generally, financial modeling books segment the world of finance as "investments," "financial institutions," "corporate finance," and "securities analysis," and in so doing they rarely emphasize the relationships between the subjects. This unique book successfully ties the thought processes and applications of the financial models together and describes them as one process that provides business solutions. Created as a companion website to the book readers can visit www.thomasho.com to gain deeper understanding of the book's financial models. Interested readers can build and test the models described in the book using Excel, and they can submit their models to the site. Readers can also use the site's forum to discuss the models and can browse server based models to gain insights into the applications of the models. For those using the book in meetings or class settings the site provides Power Point descriptions of the chapters. Students can use available question banks on the chapters for studying.

Risikomanagement

Banken, Versicherungen und andere Finanzinstitutionen

Author: John C. Hull

Publisher: N.A

ISBN: 9783868942026

Category:

Page: 672

View: 6858

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Financial Modeling and Valuation

A Practical Guide to Investment Banking and Private Equity

Author: Paul Pignataro

Publisher: John Wiley & Sons

ISBN: 1118558693

Category: Business & Economics

Page: 432

View: 8298

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Written by the Founder and CEO of the prestigious New YorkSchool of Finance, this book schools you in the fundamental toolsfor accurately assessing the soundness of a stock investment. Builtaround a full-length case study of Wal-Mart, it shows you how toperform an in-depth analysis of that company's financial standing,walking you through all the steps of developing a sophisticatedfinancial model as done by professional Wall Street analysts. Youwill construct a full scale financial model and valuationstep-by-step as you page through the book. When we ran this analysis in January of 2012, we estimated thestock was undervalued. Since the first run of the analysis, thestock has increased 35 percent. Re-evaluating Wal-Mart9months later, we will step through the techniques utilized by WallStreet analysts to build models on and properly value businessentities. Step-by-step financial modeling - taught using downloadableWall Street models, you will construct the model step by step asyou page through the book. Hot keys and explicit Excel instructions aid even the noviceexcel modeler. Model built complete with Income Statement, Cash FlowStatement, Balance Sheet, Balance Sheet Balancing Techniques,Depreciation Schedule (complete with accelerating depreciation anddeferring taxes), working capital schedule, debt schedule, handlingcircular references, and automatic debt pay downs. Illustrative concepts including detailing model flows help aidin conceptual understanding. Concepts are reiterated and honed, perfect for a novice yetdetailed enough for a professional. Model built direct from Wal-Mart public filings, searchingthrough notes, performing research, and illustrating techniques toformulate projections. Includes in-depth coverage of valuation techniques commonlyused by Wall Street professionals. Illustrative comparable company analyses - built the right way,direct from historical financials, calculating LTM (Last TwelveMonth) data, calendarization, and properly smoothing EBITDA and NetIncome. Precedent transactions analysis - detailing how to extractproper metrics from relevant proxy statements Discounted cash flow analysis - simplifying and illustratinghow a DCF is utilized, how unlevered free cash flow is derived, andthe meaning of weighted average cost of capital (WACC) Step-by-step we will come up with a valuation on Wal-Mart Chapter end questions, practice models, additional case studiesand common interview questions (found in the companion website)help solidify the techniques honed in the book; ideal foruniversities or business students looking to break into theinvestment banking field.

Financial Modeling

An Introductory Guide to Excel and VBA Applications in Finance

Author: Joachim Häcker,Dietmar Ernst

Publisher: Springer

ISBN: 1137426586

Category: Business & Economics

Page: 956

View: 446

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This book provides a comprehensive introduction to modern financial modeling using Excel, VBA, standards of financial modeling and model review. It offers guidance on essential modeling concepts around the four core financial activities in the modern financial industry today: financial management; corporate finance; portfolio management and financial derivatives. Written in a highly practical, market focused manner, it gives step-by-step guidance on modeling practical problems in a structured manner. Quick and interactive learning is assured due to the structure as a training course which includes applied examples that are easy to follow. All applied examples contained in the book can be reproduced step by step with the help of the Excel files. The content of this book serves as the foundation for the training course Certified Financial Modeler. In an industry that is becoming increasingly complex, financial modeling is a key skill for practitioners across all key sectors of finance and banking, where complicated problems often need to be solved quickly and clearly. This book will equip readers with the basic modeling skills required across the industry today.

Financial Modelling in Python

Author: Shayne Fletcher,Christopher Gardner

Publisher: John Wiley & Sons

ISBN: 0470747897

Category: Business & Economics

Page: 244

View: 9335

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"Fletcher and Gardner have created a comprehensive resource that will be of interest not only to those working in the field of finance, but also to those using numerical methods in other fields such as engineering, physics, and actuarial mathematics. By showing how to combine the high-level elegance, accessibility, and flexibility of Python, with the low-level computational efficiency of C++, in the context of interesting financial modeling problems, they have provided an implementation template which will be useful to others seeking to jointly optimize the use of computational and human resources. They document all the necessary technical details required in order to make external numerical libraries available from within Python, and they contribute a useful library of their own, which will significantly reduce the start-up costs involved in building financial models. This book is a must read for all those with a need to apply numerical methods in the valuation of financial claims." –David Louton, Professor of Finance, Bryant University This book is directed at both industry practitioners and students interested in designing a pricing and risk management framework for financial derivatives using the Python programming language. It is a practical book complete with working, tested code that guides the reader through the process of building a flexible, extensible pricing framework in Python. The pricing frameworks' loosely coupled fundamental components have been designed to facilitate the quick development of new models. Concrete applications to real-world pricing problems are also provided. Topics are introduced gradually, each building on the last. They include basic mathematical algorithms, common algorithms from numerical analysis, trade, market and event data model representations, lattice and simulation based pricing, and model development. The mathematics presented is kept simple and to the point. The book also provides a host of information on practical technical topics such as C++/Python hybrid development (embedding and extending) and techniques for integrating Python based programs with Microsoft Excel.

The Handbook of Financial Modeling

A Practical Approach to Creating and Implementing Valuation Projection Models

Author: Jack Avon

Publisher: Apress

ISBN: 1430262052

Category: Business & Economics

Page: 504

View: 5305

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The ability to create and understand financial models that assess the valuation of a company, the projects it undertakes, and its future earnings/profit projections is one of the most valued skills in corporate finance. However, while many business professionals are familiar with financial statements and accounting reports, few are truly proficient at building an accurate and effective financial model from the ground up. That's why, in The Financial Modeling Handbook, Jack Avon equips financial professionals with all the tools they need to precisely and effectively monitor a company's assets and project its future performance. Based on the author's extensive experience building models in business and finance—and teaching others to do the same—The Handbook of Financial Modeling takes readers step by step through the financial modeling process, starting with a general overview of the history and evolution of financial modeling. It then moves on to more technical topics, such as the principles of financial modeling and the proper way to approach a financial modeling assignment, before covering key application areas for modeling in Microsoft Excel. Designed for intermediate and advanced modelers who wish to expand and enhance their knowledge, The Handbook of Financial Modeling also covers: The accounting and finance concepts that underpin working financial models; How to approach financial issues and solutions from a modeler's perspective; The importance of thinking about end users when developing a financial model; How to plan, design, and build a fully functional financial model; And more. A nuts-to-bolts guide to solving common financial problems with spreadsheets, The Handbook of Financial Modeling is a one-stop resource for anyone who needs to build or analyze financial models. What you’ll learn Key financial modeling principles, including best practices, principles around calculations, and the importance of producing clean, clear financial models How to design and implement a projection model that allows the user to change inputs quickly for sensitivity testing The proper way to approach a financial modeling assignment, from project planning all the way through to the documentation of the model's findings and effectiveness How to model in Microsoft Excel, including how to set up an Excel environment, how to format worksheets, and the correct application of various modeling formulae The skills and knowledge they need to become more proficient financial modelers and differentiate themselves from their professional competitors. Who this book is for Written in a clear, concise manner and filled with screen grabs that will facilitate readers' comprehension of the financial modeling process, The Handbook of Financial Modeling is appropriate for intermediate to advanced financial modelers who are looking to learn how to enhance their modeling proficiency. Table of Contents Financial Modeling: An Overview Financial Modeling Best Practices Modeling Functions and Tools Planning Your Model Testing and Documenting Your Model Designing and Building Your Model The Model User: Inputs An Introduction to Finance and Accounting for Modelers Managing and Evaluating a Business for Modelers The Implications and Rules of Accounting for Modelers Financial Based Calculations Logical and Structural Based Calculations How to Capture Document and Track Assumptions in Your Model Modeling to Give the User Transparency Model Testing and Auditing Modeling Handover Dos and Don'ts. Case Study: Building a Full Life Cycle Model Additional Tools and VBA for Financial Models What is the Future of Financial Modeling? Keyboard Shortcuts Finance and Accounting Glossary Readymade Functions Sample Outputs Housekeeping References

Practical Financial Modelling

A Guide to Current Practice

Author: Jonathan Swan

Publisher: Butterworth-Heinemann

ISBN: 9780080570112

Category: Business & Economics

Page: 304

View: 9384

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This second edition of Practical Financial Modelling is vital tool for all finance and management professionals whose work involves the production and development of complex spreadsheets and financial models. The author bridges the gap between the Excel manual and financial literature with a wealth of practical advise and useful tips. The book identifies good practice and highlights those areas which are prone to error and inconsistency resulting in a refreshingly simple approach to building and using financial models suitable for novice and experienced modellers. By using practical worked examples the most effective ways in which problems can be solved are explored. Key themes include: model structure, audit formulae and functions and model use. New to the second edition: Instructive information on Excel 2007 and its enhanced modelling functions and feature; Risk controls in developing and using financial models; Test-yourself modelling problems and applied examples in every chapter; Substantial information related to reporting and charting techniques and an appendix devoted to parallel comparison of how-to in Excel 2003 and 2007. • Instructive information on Excel 2007 and its enhanced modelling functions and features • Risk controls in developing and using financial models • Test-yourself modelling problems and applied examples in every chapter • Substantial information relating to reporting and charting techniques • An appendix devoted to a parallel comparison of how-to in Excel 2003 and Excel 2007

Financial Modeling of the Equity Market

From CAPM to Cointegration

Author: Frank J. Fabozzi,Sergio M. Focardi,Petter N. Kolm

Publisher: John Wiley & Sons

ISBN: 0470037695

Category: Business & Economics

Page: 651

View: 3165

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An inside look at modern approaches to modeling equity portfolios Financial Modeling of the Equity Market is the most comprehensive, up-to-date guide to modeling equity portfolios. The book is intended for a wide range of quantitative analysts, practitioners, and students of finance. Without sacrificing mathematical rigor, it presents arguments in a concise and clear style with a wealth of real-world examples and practical simulations. This book presents all the major approaches to single-period return analysis, including modeling, estimation, and optimization issues. It covers both static and dynamic factor analysis, regime shifts, long-run modeling, and cointegration. Estimation issues, including dimensionality reduction, Bayesian estimates, the Black-Litterman model, and random coefficient models, are also covered in depth. Important advances in transaction cost measurement and modeling, robust optimization, and recent developments in optimization with higher moments are also discussed. Sergio M. Focardi (Paris, France) is a founding partner of the Paris-based consulting firm, The Intertek Group. He is a member of the editorial board of the Journal of Portfolio Management. He is also the author of numerous articles and books on financial modeling. Petter N. Kolm, PhD (New Haven, CT and New York, NY), is a graduate student in finance at the Yale School of Management and a financial consultant in New York City. Previously, he worked in the Quantitative Strategies Group of Goldman Sachs Asset Management, where he developed quantitative investment models and strategies.

Financial Modeling for Business Owners and Entrepreneurs

Developing Excel Models to Raise Capital, Increase Cash Flow, Improve Operations, Plan Projects, and Make Decisions

Author: Tom Y. Sawyer

Publisher: Apress

ISBN: 1484203704

Category: Business & Economics

Page: 348

View: 1253

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Financial Modeling for Business Owners and Entrepreneurs: Developing Excel Models to Raise Capital, Increase Cash Flow, Improve Operations, Plan Projects, and Make Decisions may be one of the most important books any entrepreneur or manager in a small or medium-sized enterprise will read. It combines logical business principles and strategies with a step-by-step methodology for planning and modeling a company and solving specific business problems. You’ll learn to create operational and financial models in Excel that describe the workings of your company in quantitative terms and that make it far more likely you will avoid the traps and dead ends many businesses fall into. Serial entrepreneur and financial expert Tom Y. Sawyer shows how to break your company down into basic functional and operational components that can be modeled. The result is a financial model that, for example, you can literally take to the bank or bring to local angel investors to receive the funding you need to launch your business or a new product. Or it might be a model that shows with startling clarity that your new product development effort is a likely winner—or loser. Even better, you’ll learn to create models that will serve as guideposts for ongoing operations. You’ll always know just where you are financially, and where you need to be. The models you will learn to build in Financial Modeling for Business Owners and Entrepreneurs can be used to: Raise capital for startup or any stage of growth Plan projects and new initiatives Make astute business decisions, including go/no-go assessments Analyze ROI on your product development and marketing expenditures Streamline operations, manage budgets, improve efficiency, and reduce costs Value the business when it is time to cash out or merge In addition to many valuable exercises and tips for using Excel to model your business, this book contains a combination of practical advice born of hard-won lessons, advanced strategic thought, and the insightful use of hard skills. With a basic knowledge of Excel assumed, it will help you learn to think like an experienced business person who expects to make money on the products or services offered to the public. You’ll discover that the financial model is a key management tool that, if built correctly, provides invaluable assistance every step of the entrepreneurial journey. Tom Y. Sawyer has used the principles this book contains to create financial models of numerous startup and early-stage companies, assisting them in planning for and raising the capital that they needed to grow their businesses and ultimately exit with multiples of their initial investment. Financial Modeling for Business Owners and Entrepreneurs, a mini-MBA in entrepreneurship and finance, will show you how you can do the same. Note: This book is an updated version of Sawyer's 2009 title, Pro Excel Financial Modeling.

Financial Modeling, Actuarial Valuation and Solvency in Insurance

Author: Mario V. Wüthrich,Michael Merz

Publisher: Springer Science & Business Media

ISBN: 3642313922

Category: Mathematics

Page: 432

View: 1335

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Risk management for financial institutions is one of the key topics the financial industry has to deal with. The present volume is a mathematically rigorous text on solvency modeling. Currently, there are many new developments in this area in the financial and insurance industry (Basel III and Solvency II), but none of these developments provides a fully consistent and comprehensive framework for the analysis of solvency questions. Merz and Wüthrich combine ideas from financial mathematics (no-arbitrage theory, equivalent martingale measure), actuarial sciences (insurance claims modeling, cash flow valuation) and economic theory (risk aversion, probability distortion) to provide a fully consistent framework. Within this framework they then study solvency questions in incomplete markets, analyze hedging risks, and study asset-and-liability management questions, as well as issues like the limited liability options, dividend to shareholder questions, the role of re-insurance, etc. This work embeds the solvency discussion (and long-term liabilities) into a scientific framework and is intended for researchers as well as practitioners in the financial and actuarial industry, especially those in charge of internal risk management systems. Readers should have a good background in probability theory and statistics, and should be familiar with popular distributions, stochastic processes, martingales, etc.

The Art and Science of Financial Modeling

Author: Anurag Singal

Publisher: N.A

ISBN: 9781948976947

Category: Business & Economics

Page: 106

View: 9384

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The importance of sound financial modelling skills, deep understanding of valuation methods and the assessment of outputs of valuations for finance professionals cannot be overemphasized The book aims to help a user deep dive into the art of financial modelling and valuation. The reader will be able to prepare/use existing models more competently, interpret the results and have greater comfort over the integrity and accuracy of the model's calculations. It seeks to disseminate the skill-set to prepare financial models for business cases, be it Mergers & Acquisitions, Venture Capital/ Private Equity or long-term Financial Forecasts of companies It is suited for an aspirant who seeks to learn the art of preparing financial models in a logical structured and disciplined manner. In turn, the user can go for correct valuation analyses, which in turn, fuels well-informed and appropriate strategic organizational decisions.

Financial Modelling Manual

A comprehensive but succinct step-by-step guide to building a financial forecast model in Excel

Author: Aasha Shamsuddin

Publisher: BG Consulting

ISBN: 095444969X

Category: Business & Economics

Page: 165

View: 8548

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A comprehensive but succinct step-by-step guide to building a financial forecast model in Excel. All the steps are fully explained with screenshots from a case model which can be downloaded online and used to practice as you work through the manual. The manual contains additional chapters focussing on circularity in models and how to troubleshoot related problems. The manual also includes a guide on to how to thoroughly check a model for errors and how to resolve them, and an introduction to the key Excel keyboard shortcuts and functions that will ensure fast, accurate modelling. To download the accompanying excel model for this manual please go to https://bgmanual.learnupon.com - See more at: http://www.firstywork.com/BGConsulting/index.htm?/Financial+Modelling+Manual/&bid=9780954449698#sthash.voWBn6Dv.dpuf

The Mathematics of Financial Modeling and Investment Management

Author: Sergio M. Focardi,Frank J. Fabozzi, CFA

Publisher: John Wiley & Sons

ISBN: 9780471465997

Category: Business & Economics

Page: 800

View: 3196

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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.

Financial Modeling Under Non-Gaussian Distributions

Author: Eric Jondeau,Ser-Huang Poon,Michael Rockinger

Publisher: Springer Science & Business Media

ISBN: 1846286964

Category: Mathematics

Page: 541

View: 4730

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This book examines non-Gaussian distributions. It addresses the causes and consequences of non-normality and time dependency in both asset returns and option prices. The book is written for non-mathematicians who want to model financial market prices so the emphasis throughout is on practice. There are abundant empirical illustrations of the models and techniques described, many of which could be equally applied to other financial time series.