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| equity research financial modeling: Financial Modeling for Equity Research Associates John Moschella, 2017-09-04 This book demonstrates step-by-step how to create a financial model, similar to the models maintained by sell-side equity research analysts. The accompanying Excel files demonstrate the key concepts and can be used as templates to create an earning model for nearly any company. Readers without prior financial analysis experience will gain a fundamental understanding of exactly what modeling entails, and will learn how to create a basic form of an earnings model. Advanced readers will be introduced to more complex topics such as linking the financial statements, future period calibration, and incorporating macroeconomic variables into discounted valuation analysis through the equity risk premium and application of the capital asset pricing model.The Excel templates included with this book include:File 1--Blank Model Template: Use this template to create your own earnings model. File 2--Apple Inc Back of the Envelope Model: This beginner model features a basic Income Statement projection and is perfect for those who have not had prior modeling experience. File 3--Apple Inc Tier 2 Earnings Model: This version of the model is more sophisticated and includes a breakdown of the company's products, which is used to project future earnings.File 4--Apple Inc Tier 1 Earnings Model: The Tier 1 model is geared toward advanced analysts and includes financial statement integration, as well as a discounted cash flow valuation. File 5--Equity Risk Premium (ERP) Model: Using this simple model you can quickly estimate the market ERP based on volatility, changes in interest rates, and market return expectations. You can then derive a discount rate using your ERP estimate, and the Capital Asset Pricing Model (CAPM). File 6--Apple Inc Beta Calculation: This file demonstrates the calculation of beta, using an Excel-based regression.Files 7&8--Regression Models: The final two files demonstrate how to run regression analysis to project inputs which could be incorporated into your earnings models.This book is well suited for:Business Students: Whether you are majoring in Finance, Accounting, Marketing, Entrepreneurship, or Management, learning the fundamentals of forecasting is critical to your academic development, and will help prepare you for a professional career.Sell-Side Equity Research Analysts: Need a fresh perspective for your models? Consider adding changes in volatility, interest rates, or corporate tax reform to your valuation approach. Or incorporate non-GAAP adjustments, and forecast the impact of new accounting standards into your models.Financial Planners and Wealth Management Professionals: Have your clients been asking your opinion of a stock in the headlines? This book will teach you how to build a model for nearly any company, allowing you to deliver comprehensive analysis to your clients.Buy-Side Analysts: Want a consensus-based model to compare to that of each analyst? This book demonstrates how to create one, and how to use it to perform quick reviews of consensus estimates, management's guidance, and run powerful scenario analysis ahead of an earnings release.Investor Relations Professionals: Gain valuable insight into how the analysts covering your company are modeling your results, and use this knowledge to predict what the analysts will ask on the conference calls.Private Equity/Venture Capital Analysts: Trying to value a new investment with unpredictable cash flows? Use this book as a guide to build a dynamic model, and incorporate various inputs to create upside/downside scenarios....as well as any others who are interested in learning how to use fundamental analysis to review an equity security' future prospects. |
| equity research financial modeling: Financial Modeling for Equity Research John Moschella CFA CPA, 2019-09-08 From the Author: This is not another boring, impossible to read, thousand-page textbook. On the contrary, this is an exciting journey into the world of Wall Street-style financial modeling. The motivation behind this book comes from my days as a new research analyst, trying to juggle the demands of 80-plus hour work weeks, FINRA exams, and client meetings, while attempting to learn the basics of modeling. At the time I sought outside educational resources only to find useless classes focused on spreadsheet tricks, or high-level theory-based books with little practical value. What I really needed was someone to sit down, and show me exactly how to build a model, using a real company as an example, from start to finish. Now, years after leaving the sell-side rat race, I have written the book that I sought when I was new to the street. The result is a clear, concise, easy to read guide on how to build a three-statement model. The book starts with an introduction to the industry and important background information for new analysts. Then, beginning with a blank spreadsheet, the text demonstrates exactly how to build a model using an actual company example. Throughout the chapters there are numerous images of the model which highlight key elements, as if I were pointing to a computer screen and explaining it directly to the reader. There are also more than 30 spreadsheets available for download to follow along with the text. After the model is built, I discuss effective ways to use it for forecasting and share valuation, and demonstrate how to maintain the model over time. I have also included insight from my experience in research, pitfalls to watch for, and frequently asked questions from my research team, to help add color to the subject matter. This book is a self-published, grassroots effort. You will not find a shiny professional cover or expert photographs inside. This book is less what you would expect from a traditional textbook, and closer to an informal conversation between me and the reader. Sometimes all you need is to talk to someone who has been there, and that is what you will get between these two covers. Ultimately the goal is to have my readers come away from their experience feeling empowered and excited to build an earnings model of their own. Regardless of whether or not you intend to start a career in equity research, if you would like to learn how to model earnings for a company, then this book is a good place to get started. |
| equity research financial modeling: Financial Modeling and Valuation Paul Pignataro, 2013-07-10 Written by the Founder and CEO of the prestigious New York School of Finance, this book schools you in the fundamental tools for accurately assessing the soundness of a stock investment. Built around a full-length case study of Wal-Mart, it shows you how to perform an in-depth analysis of that company's financial standing, walking you through all the steps of developing a sophisticated financial model as done by professional Wall Street analysts. You will construct a full scale financial model and valuation step-by-step as you page through the book. When we ran this analysis in January of 2012, we estimated the stock was undervalued. Since the first run of the analysis, the stock has increased 35 percent. Re-evaluating Wal-Mart 9months later, we will step through the techniques utilized by Wall Street analysts to build models on and properly value business entities. Step-by-step financial modeling - taught using downloadable Wall Street models, you will construct the model step by step as you page through the book. Hot keys and explicit Excel instructions aid even the novice excel modeler. Model built complete with Income Statement, Cash Flow Statement, Balance Sheet, Balance Sheet Balancing Techniques, Depreciation Schedule (complete with accelerating depreciation and deferring taxes), working capital schedule, debt schedule, handling circular references, and automatic debt pay downs. Illustrative concepts including detailing model flows help aid in conceptual understanding. Concepts are reiterated and honed, perfect for a novice yet detailed enough for a professional. Model built direct from Wal-Mart public filings, searching through notes, performing research, and illustrating techniques to formulate projections. Includes in-depth coverage of valuation techniques commonly used by Wall Street professionals. Illustrative comparable company analyses - built the right way, direct from historical financials, calculating LTM (Last Twelve Month) data, calendarization, and properly smoothing EBITDA and Net Income. Precedent transactions analysis - detailing how to extract proper metrics from relevant proxy statements Discounted cash flow analysis - simplifying and illustrating how a DCF is utilized, how unlevered free cash flow is derived, and the 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 studies and common interview questions (found in the companion website) help solidify the techniques honed in the book; ideal for universities or business students looking to break into the investment banking field. |
| equity research financial modeling: Best Practices for Equity Research (PB) James Valentine, 2011-01-07 The first real-world guide for training equity research analysts—from a Morgan Stanley veteran Addresses the dearth of practical training materials for research analysts in the U.S. and globally Valentine managed a department of 70 analysts and 100 associates at Morgan Stanley and developed new programs for over 500 employees around the globe He will promote the book through his company's extensive outreach capabilities |
| equity research financial modeling: Financial Modeling of the Equity Market Frank J. Fabozzi, Sergio M. Focardi, Petter N. Kolm, 2006-03-31 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. |
| equity research financial modeling: Equity Valuation Jan Viebig, Thorsten Poddig, Armin Varmaz, 2008-04-30 Equity Valuation: Models from the Leading Investment Banks is a clear and reader-friendly guide to how today’s leading investment banks analyze firms. Editors Jan Viebig and Thorsten Poddig bring together expertise from UBS, Morgan Stanley, DWS Investment GmbH and Credit Suisse, providing a unique analysis of leading equity valuation models, from the very individuals who use them. Filled with real world insights, practical examples and theoretical approaches, the book will examine the strengths and weaknesses of some of the leading valuation approaches, helping readers understand how analysts: · estimate cash flows · calculate discount rates · adjust for accounting distortions · take uncertainty into consideration Written for investment professionals, corporate managers and anyone interested in developing their understanding of this key area, Equity Valuation: Models from the Leading Investment Banks will arm readers with the latest thinking and depth of knowledge necessary to make the right decisions in their valuation methodologies. |
| equity research financial modeling: Financial Modeling for Equity Research John Moschella CFA CPA, 2017-09-26 This book demonstrates step-by-step how to create a financial model. The accompanying Excel files demonstrate the key concepts and can be used as templates to create an earning model for nearly any company. Readers without prior financial analysis experience will gain a fundamental understanding of exactly what modeling entails, and will learn how to create a basic form of an earnings model. Advanced readers will be introduced to more complex topics such as linking the financial statements, future period calibration, and incorporating macroeconomic variables into discounted valuation analysis through the equity risk premium and application of the capital asset pricing model. The Excel templates included with this book include: * File 1 - Blank Model Template: Use this template to create your own earnings model. * File 2 - Apple Inc Back of the Envelope Model: This beginner model features a basic Income Statement projection and is perfect for those who have not had prior modeling experience.* File 3 - Apple Inc Tier 2 Earnings Model: This version of the model is more sophisticated and includes a breakdown of the company's products, which is used to project future earnings. * File 4 - Apple Inc Tier 1 Earnings Model: The Tier 1 model is geared toward advanced analysts and includes financial statement integration, as well as a discounted cash flow valuation. * File 5 - Equity Risk Premium (ERP) Model: Using this simple model you can quickly estimate the market ERP based on volatility, changes in interest rates, and market return expectations. You can then derive a discount rate using your ERP estimate, and the Capital Asset Pricing Model (CAPM). * File 6 - Apple Inc Beta Calculation: This file demonstrates the calculation of beta, using an Excel-based regression. * Files 7&8 - Regression Models: The final two files demonstrate how to run regression analysis to project inputs which could be incorporated into your earnings models. This book is well suited for... Business Students: Whether you are majoring in Finance, Accounting, Marketing, Entrepreneurship, or Management, learning the fundamentals of forecasting is critical to your academic development, and will help prepare you for a professional career. Sell-Side Equity Research Analysts: Need a fresh perspective for your models? Consider adding changes in volatility, interest rates, or corporate tax reform to your valuation approach. Or incorporate non-GAAP adjustments, and forecast the impact of new accounting standards into your models. Financial Planners and Wealth Management Professionals: Have your clients been asking your opinion of a stock in the headlines? This book will teach you how to build a model for nearly any company, allowing you to deliver comprehensive analysis to your clients. Buy-Side Analysts: Want a consensus-based model to compare to that of each analyst? This book demonstrates how to create one, and how to use it to perform quick reviews of consensus estimates, management's guidance, and run powerful scenario analysis ahead of an earnings release. Investor Relations Professionals: Gain valuable insight into how the analysts covering your company are modeling your results, and use this knowledge to predict what the analysts will ask on the conference calls. Private Equity/Venture Capital Analysts: Trying to value a new investment with unpredictable cash flows? Use this book as a guide to build a dynamic model, and incorporate various inputs to create upside/downside scenarios. ...as well as anyone else interested in learning how to use fundamental analysis to review an equity security's future prospects. |
| equity research financial modeling: Corporate and Project Finance Modeling Edward Bodmer, 2014-11-10 A clear and comprehensive guide to financial modeling and valuation with extensive case studies and practice exercises Corporate and Project Finance Modeling takes a clear, coherent approach to a complex and technical topic. Written by a globally-recognized financial and economic consultant, this book provides a thorough explanation of financial modeling and analysis while describing the practical application of newly-developed techniques. Theoretical discussion, case studies and step-by-step guides allow readers to master many difficult modeling problems and also explain how to build highly structured models from the ground up. The companion website includes downloadable examples, templates, and hundreds of exercises that allow readers to immediately apply the complex ideas discussed. Financial valuation is an in-depth process, involving both objective and subjective parameters. Precise modeling is critical, and thorough, accurate analysis is what bridges the gap from model to value. This book allows readers to gain a true mastery of the principles underlying financial modeling and valuation by helping them to: Develop flexible and accurate valuation analysis incorporating cash flow waterfalls, depreciation and retirements, updates for new historic periods, and dynamic presentation of scenario and sensitivity analysis; Build customized spreadsheet functions that solve circular logic arising in project and corporate valuation without cumbersome copy and paste macros; Derive accurate measures of normalized cash flow and implied valuation multiples that account for asset life, changing growth, taxes, varying returns and cost of capital; Incorporate stochastic analysis with alternative time series equations and Monte Carlo simulation without add-ins; Understand valuation effects of debt sizing, sculpting, project funding, re-financing, holding periods and credit enhancements. Corporate and Project Finance Modeling provides comprehensive guidance and extensive explanation, making it essential reading for anyone in the field. |
| equity research financial modeling: Equity Asset Valuation Jerald E. Pinto, Elaine Henry, Thomas R. Robinson, John D. Stowe, 2015-10-16 Navigate equity investments and asset valuation with confidence Equity Asset Valuation, Third Edition blends theory and practice to paint an accurate, informative picture of the equity asset world. The most comprehensive resource on the market, this text supplements your studies for the third step in the three-level CFA certification program by integrating both accounting and finance concepts to explore a collection of valuation models and challenge you to determine which models are most appropriate for certain companies and circumstances. Detailed learning outcome statements help you navigate your way through the content, which covers a wide range of topics, including how an analyst approaches the equity valuation process, the basic DDM, the derivation of the required rate of return within the context of Markowitz and Sharpe's modern portfolio theory, and more. Equity investments encompass the buying and holding of shares of stock in the anticipation of collecting income from dividends and capital gains. Determining which shares will be profitable is key, and an array of valuation techniques is applied on today's market to decide which stocks are ripe for investment and which are best left out of your portfolio. Access the most comprehensive equity asset valuation text on the market Leverage detailed learning outcome statements that focus your attention on key concepts, and guide you in applying the material accurately and effectively Explore a wide range of essential topics, such as the free cash flow approach, valuation using Graham and Dodd type concepts of earning power, associated market multiples, and residual income models Improve your study efforts by leveraging the text during your CFA certification program prep Equity Asset Valuation, Third Edition is a comprehensive, updated text that guides you through the information you need to know to fully understand the general analysis of equity investments. |
| equity research financial modeling: Analyzing Financial Data and Implementing Financial Models Using R Clifford S. Ang, 2021-06-23 This advanced undergraduate/graduate textbook teaches students in finance and economics how to use R to analyse financial data and implement financial models. It demonstrates how to take publically available data and manipulate, implement models and generate outputs typical for particular analyses. A wide spectrum of timely and practical issues in financial modelling are covered including return and risk measurement, portfolio management, option pricing and fixed income analysis. This new edition updates and expands upon the existing material providing updated examples and new chapters on equities, simulation and trading strategies, including machine learnings techniques. Select data sets are available online. |
| equity research financial modeling: Applied Equity Analysis: Stock Valuation Techniques for Wall Street Professionals James English, 2001-06-18 Applied Equity Analysis treats stock valuation as a practical, hands-on tool rather than a vague, theoretical exercise—and covers the entire valuation process from financial statement analysis through the final investment recommendation. Its integrated approach to valuation builds viable connections between a firm’s competitive situation and the ultimate behavior of its common stock. Techniques explained include EVA, newer hybrid valuation techniques, and relative multiple analysis. |
| equity research financial modeling: Financial Modelling in Practice Michael Rees, 2008 Financial Modelling in Practice: A Concise Guide for Intermediate and Advanced Level is a practical, comprehensive and in-depth guide to financial modelling designed to cover the modelling issues that are relevant to facilitate the construction of robust and readily understandable models. --From publisher's description. |
| equity research financial modeling: Using Excel for Business Analysis Danielle Stein Fairhurst, 2015-05-18 This is a guide to building financial models for business proposals, to evaluate opportunities, or to craft financial reports. It covers the principles and best practices of financial modelling, including the Excel tools, formulas, and functions to master, and the techniques and strategies necessary to eliminate errors. |
| equity research financial modeling: Financial Models in Production Othmane Kettani, Adil Reghai, 2020-09-16 This book provides a hands-on guide to how financial models are actually implemented and used in practice, on a daily basis, for pricing and risk-management purposes. It shows how to put these models into use in production while minimizing the cost of implementation and maximizing robustness and control. Addressing some of the most important and cutting-edge issues, it describes how to build the necessary models in order to risk manage all the costs involved in options fabrication within the world of equity derivatives and hybrids. This is achieved by extending classical models and improving them in order to account for complex features. The book is primarily aimed at market practitioners (traders, risk managers, risk control, top managers), as well as Masters students in Quantitative/Mathematical Finance. It will also be useful for instructors hoping to enrich their courses with practical examples. The prerequisites are basic stochastic calculus and a general knowledge of financial markets and financial derivatives. |
| equity research financial modeling: Writing Securities Research Jeremy Bolland, 2011-09-07 There is a strong need for this book by Jeremy Bolland, which dissects all issues relating to securities research. The requirement for better research does not only apply to the US securities market but to securities markets all over the world. This book is relevant in any setting. It will equip analysts with many useful tools to help them achieve success. —Mark Mobius, President, Templeton Emerging Markets Fund Jeremy Bolland's book is essential reading for all people involved in writing securities research. Moreover, it is not just a technical and legal guide, but also a timely reminder of the principles of good writing. —Andrew Leeming, Author of The Super Analysts Knowing your ratios and spreadsheets is no longer enough to become an investment analyst. As Jeremy Bolland points out, you need to know your do's and don'ts of how to approach clients and companies. This guide to doing it properly is an obvious selection for the bookshelf of anyone who aspires to offer investment advice and a fine reference for anyone who receives such advice.—Jake van der Kamp, Financial Columnist, South China Morning Post At last, here's a comprehensive yet easy-to-read guide explaining all the best practice principles involved in writing securities research. It is full of useful information. If all securities analysts followed the guidance that has been clearly laid out in this book by Jeremy Bolland, research enforcement regulators around the world would be out of a job. Anyone who is involved in writing and publishing research, or using research for investment decisions, from the novice to the expert, should read this book. I highly recommend it.—Anthony Espina, Chairman, Hong Kong Stockbrokers Association |
| equity research financial modeling: Introduction to Financial Forecasting in Investment Analysis John B. Guerard, Jr., 2013-01-04 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. |
| equity research financial modeling: The Mathematics of Financial Models Kannoo Ravindran, 2014-08-18 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. |
| equity research financial modeling: Valuation Approaches and Metrics Aswath Damodaran, 2005 Valuation lies at the heart of much of what we do in finance, whether it is the study of market efficiency and questions about corporate governance or the comparison of different investment decision rules in capital budgeting. In this paper, we consider the theory and evidence on valuation approaches. We begin by surveying the literature on discounted cash flow valuation models, ranging from the first mentions of the dividend discount model to value stocks to the use of excess return models in more recent years. In the second part of the paper, we examine relative valuation models and, in particular, the use of multiples and comparables in valuation and evaluate whether relative valuation models yield more or less precise estimates of value than discounted cash flow models. In the final part of the paper, we set the stage for further research in valuation by noting the estimation challenges we face as companies globalize and become exposed to risk in multiple countries. |
| equity research financial modeling: Python for Finance Yves J. Hilpisch, 2018-12-05 The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks. |
| equity research financial modeling: Financial Modelling with Jump Processes Peter Tankov, 2003-12-30 WINNER of a Riskbook.com Best of 2004 Book Award! During the last decade, financial models based on jump processes have acquired increasing popularity in risk management and option pricing. Much has been published on the subject, but the technical nature of most papers makes them difficult for nonspecialists to understand, and the mathematic |
| equity research financial modeling: Portfolio and Investment Analysis with SAS John B. Guerard, Ziwei Wang, Ganlin Xu, 2019-04-03 Choose statistically significant stock selection models using SAS® Portfolio and Investment Analysis with SAS®: Financial Modeling Techniques for Optimization is an introduction to using SAS to choose statistically significant stock selection models, create mean-variance efficient portfolios, and aggressively invest to maximize the geometric mean. Based on the pioneering portfolio selection techniques of Harry Markowitz and others, this book shows that maximizing the geometric mean maximizes the utility of final wealth. The authors draw on decades of experience as teachers and practitioners of financial modeling to bridge the gap between theory and application. Using real-world data, the book illustrates the concept of risk-return analysis and explains why intelligent investors prefer stocks over bonds. The authors first explain how to build expected return models based on expected earnings data, valuation ratios, and past stock price performance using PROC ROBUSTREG. They then show how to construct and manage portfolios by combining the expected return and risk models. Finally, readers learn how to perform hypothesis testing using Bayesian methods to add confidence when data mining from large financial databases. |
| equity research financial modeling: Quantitative Equity Portfolio Management Edward E. Qian, Ronald H. Hua, Eric H. Sorensen, 2007-05-11 Quantitative equity portfolio management combines theories and advanced techniques from several disciplines, including financial economics, accounting, mathematics, and operational research. While many texts are devoted to these disciplines, few deal with quantitative equity investing in a systematic and mathematical framework that is suitable for |
| equity research financial modeling: Investment Guarantees Mary Hardy, 2003-03-06 A comprehensive guide to investment guarantees in equity-linked life insurance Due to the convergence of financial and insurance markets, new forms of investment guarantees are emerging which require financial service professionals to become savvier in modeling and risk management. With chapters that discuss stock return models, dynamic hedging, risk measures, Markov Chain Monte Carlo estimation, and much more, this one-stop reference contains the valuable insights and proven techniques that will allow readers to better understand the theory and practice of investment guarantees and equity-linked insurance policies. Mary Hardy, PhD (Waterloo, Ontario, Canada), is an Associate Professor and Associate Chair of Actuarial Science at the University of Waterloo and is a Fellow of the Institute of Actuaries and an Associate of the Society of Actuaries, where she is a frequent speaker. Her research covers topics in life insurance solvency and risk management, with particular emphasis on equity-linked insurance. Hardy is an Associate Editor of the North American Actuarial Journal and the ASTIN Bulletin and is a Deputy Editor of the British Actuarial Journal. |
| equity research financial modeling: Financial Modeling Simon Benninga, Benjamin Czaczkes, 2000 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. |
| equity research financial modeling: The Oxford Guide to Financial Modeling Thomas S. Y. Ho, Sang-bin Yi, 2004 The Oxford Guide to Financial Modeling is accompanied by a companion web site that serves as an interactive workbook designed specifically for the book. This site is simple to use yet exceedingly robust with regard to its technological efficiency and purposeful usability. It is designed to further enhance understanding of the use and applications of the models referred to in the book and it is accessible free of charge at www.thomasho.com. This on-line workbook and resource tool contains more than 95 downloadable Excel models. The models provide clear expositions of the mathematical formulations and can be used along with the book. The companion web site is rich with a plethora of research and analytic tools designed for doing finance on-line. |
| equity research financial modeling: Analysis of Equity Investments John D. Stowe, 2002 |
| equity research financial modeling: Investment Banking Joshua Rosenbaum, Joshua Pearl, 2020-03-20 A timely update to the global bestselling book on investment banking and valuation – this new edition reflects valuable contributions from Nasdaq and the global law firm Latham & Watkins LLP plus access to the online valuation models and course. In the constantly evolving world of finance, a solid technical foundation is an essential tool for success. Due to the fast-paced nature of this world, however, no one was able to take the time to properly codify its lifeblood--namely, valuation and dealmaking. Rosenbaum and Pearl originally responded to this need in 2009 by writing the first edition of the book that they wish had existed when they were trying to break into Wall Street. Investment Banking: Valuation, LBOs, M&A, and IPOs, 3rd Edition is a highly accessible and authoritative book written by investment bankers that explains how to perform the valuation work and financial analysis at the core of Wall Street – comparable companies, precedent transactions, DCF, LBO, M&A analysis...and now IPO analytics and valuation. Using a step-by-step, how-to approach for each methodology, the authors build a chronological knowledge base and define key terms, financial concepts, and processes throughout the book. The genesis for the original book stemmed from the authors' personal experiences as students interviewing for investment banking positions. As they both independently went through the rigorous process, they realized that their classroom experiences were a step removed from how valuation and financial analysis were performed in real-world situations. Consequently, they created this book to provide a leg up to those individuals seeking or beginning careers on Wall Street – from students at undergraduate universities and graduate schools to career changers looking to break into finance. Now, over 10 years after the release of the first edition, the book is more relevant and topical than ever. It is used in over 200 universities globally and has become a go-to resource for investment banks, private equity, investment firms, and corporations undertaking M&A transactions, LBOs, IPOs, restructurings, and investment decisions. While the fundamentals haven't changed, the environment must adapt to changing market developments and conditions. As a result, Rosenbaum and Pearl have updated their widely adopted book accordingly, turning the latest edition of Investment Banking: Valuation, LBOs, M&A, and IPOs into a unique and comprehensive training package, which includes: Two new chapters covering IPOs plus insightful contributions from Nasdaq, the leading U.S. exchange and technology provider for IPOs and new listings, and global law firm Latham & Watkins LLP Access to six downloadable valuation model templates, including Comparable Companies Analysis, Precedent Transactions Analysis, Discounted Cash Flow Analysis, Leveraged Buyout Analysis, M&A Analysis, and IPO Valuation Six-month access to online Wiley Investment Banking Valuation Course featuring bite-sized lessons, over five hours of video lectures, 100+ practice questions, and other investment banking study tools Launch your career on Wall Street and hone your financial expertise with Rosenbaum and Pearl’s real-world knowledge and forward-looking guidance in the latest edition of Investment Banking: Valuation, LBOs, M&A, and IPOs. |
| equity research financial modeling: Real Estate Finance and Investments Peter Linneman, 2020-02 |
| equity research financial modeling: Equity Valuation: Science, Art, or Craft? Frank J. Fabozzi, Sergio M. Focardi, Caroline Jonas, 2017-12-27 The price at which a stock is traded in the market reflects the ability of the firm to generate cash flow and the risks associated with generating the expected future cash flows. The authors point to the limits of widely used valuation techniques. The most important of these limits is the inability to forecast cash flows and to determine the appropriate discount rate. Another important limit is the inability to determine absolute value. Widely used valuation techniques such as market multiples - the price-to-earnings ratio, firm value multiples or a use of multiple ratios, for example - capture only relative value, that is, the value of a firm's stocks related to the value of comparable firms (assuming that comparable firms can be identified). The study underlines additional problems when it comes to valuing IPOs and private equity: Both are sensitive to the timing of the offer, suffer from information asymmetry, and are more subject to behavioral elements than is the case for shares of listed firms. In the case of IPOs in particular, the authors discuss how communication strategies and media hype play an important role in the IPO valuation/pricing process. |
| equity research financial modeling: Foundations of Real Estate Financial Modelling Roger Staiger, 2015-04-10 Foundations of Real Estate Financial Modelling is specifically designed to provide an overview of pro forma modelling for real estate projects. The book introduces students and professionals to the basics of real estate finance theory before providing a step-by-step guide for financial model construction using Excel. The idea that real estate is an asset with unique characteristics which can be transformed, both physically and financially, forms the basis of discussion. Individual chapters are separated by functional unit and build upon themselves to include information on: Amortization Single-Family Unit Multi-Family Unit Development/Construction Addition(s) Waterfall (Equity Bifurcation) Accounting Statements Additional Asset Classes Further chapters are dedicated to risk quantification and include scenario, stochastic and Monte Carlo simulations, waterfalls and securitized products. This book is the ideal companion to core real estate finance textbooks and will boost students Excel modelling skills before they enter the workplace. The book provides individuals with a step-by-step instruction on how to construct a real estate financial model that is both scalable and modular. A companion website provides the pro forma models to give readers a basic financial model for each asset class as well as methods to quantify performance and understand how and why each model is constructed and the best practices for repositioning these assets. |
| equity research financial modeling: Valuation McKinsey & Company Inc., Tim Koller, Marc Goedhart, David Wessels, 2020-05-21 McKinsey & Company's bestselling guide to teaching corporate valuation - the fully updated seventh edition Valuation: Measuring and Managing the Value of Companies, University Edition is filled with the expert guidance from McKinsey & Company that students and professors have come to rely on for over nearly three decades. Now in its seventh edition, this acclaimed volume continues to help financial professionals and students around the world gain a deep understanding of valuation and help their companies create, manage, and maximize economic value for their shareholders. This latest edition has been carefully revised and updated throughout, and includes new insights on topics such as digital, ESG (environmental, social and governance), and long-term investing, as well as fresh case studies. For thirty years, Valuation has remained true to its basic principles and continues to offer a step-by-step approach to teaching valuation fundamentals, including: Analyzing historical performance Forecasting performance Estimating the cost of capital Interpreting the results of a valuation in context Linking a company's valuation multiples to core performance drivers The University Edition contains end-of-chapter review questions to help students master key concepts from the book. Wiley also offers an Online Instructor's Manual with a full suite of learning resources to complement valuation classroom instruction. |
| equity research financial modeling: The Little Book of Valuation Aswath Damodaran, 2011-03-29 An accessible, and intuitive, guide to stock valuation Valuation is at the heart of any investment decision, whether that decision is to buy, sell, or hold. In The Little Book of Valuation, expert Aswath Damodaran explains the techniques in language that any investors can understand, so you can make better investment decisions when reviewing stock research reports and engaging in independent efforts to value and pick stocks. Page by page, Damodaran distills the fundamentals of valuation, without glossing over or ignoring key concepts, and develops models that you can easily understand and use. Along the way, he covers various valuation approaches from intrinsic or discounted cash flow valuation and multiples or relative valuation to some elements of real option valuation. Includes case studies and examples that will help build your valuation skills Written by Aswath Damodaran, one of today's most respected valuation experts Includes an accompanying iPhone application (iVal) that makes the lessons of the book immediately useable Written with the individual investor in mind, this reliable guide will not only help you value a company quickly, but will also help you make sense of valuations done by others or found in comprehensive equity research reports. |
| equity research financial modeling: 2022 CFA Program Curriculum Level I Box Set CFA Institute, 2021-05-04 Prepare for success on the 2022 CFA Level I exam with the latest official CFA® Program Curriculum. The 2022 CFA Program Curriculum Level I Box Set contains all the material you need to succeed on the Level I CFA exam in 2022. This set includes the full official curriculum for Level I and is part of the larger CFA Candidate Body of Knowledge (CBOK). Highly visual and intuitively organized, this box set allows you to: Learn from financial thought leaders. Access market-relevant instruction. Gain critical knowledge and skills. The set also includes practice questions to assist with your recall of key terms, concepts, and formulas. Perfect for anyone preparing for the 2022 Level I CFA exam, the 2022 CFA Program Curriculum Level I Box Set is a must-have resource for those seeking the foundational skills required to become a Chartered Financial Analyst®. |
| equity research financial modeling: Accounting for Value Stephen Penman, 2010-12-30 Accounting for Value teaches investors and analysts how to handle accounting in evaluating equity investments. The book's novel approach shows that valuation and accounting are much the same: valuation is actually a matter of accounting for value. Laying aside many of the tools of modern finance the cost-of-capital, the CAPM, and discounted cash flow analysis Stephen Penman returns to the common-sense principles that have long guided fundamental investing: price is what you pay but value is what you get; the risk in investing is the risk of paying too much; anchor on what you know rather than speculation; and beware of paying too much for speculative growth. Penman puts these ideas in touch with the quantification supplied by accounting, producing practical tools for the intelligent investor. Accounting for value provides protection from paying too much for a stock and clues the investor in to the likely return from buying growth. Strikingly, the analysis finesses the need to calculate a cost-of-capital, which often frustrates the application of modern valuation techniques. Accounting for value recasts value versus growth investing and explains such curiosities as why earnings-to-price and book-to-price ratios predict stock returns. By the end of the book, Penman has the intelligent investor thinking like an intelligent accountant, better equipped to handle the bubbles and crashes of our time. For accounting regulators, Penman also prescribes a formula for intelligent accounting reform, engaging with such controversial issues as fair value accounting. |
| equity research financial modeling: Hands-On Financial Modeling with Microsoft Excel 2019 Shmuel Oluwa, 2019-07-11 Explore the aspects of financial modeling with the help of clear and easy-to-follow instructions and a variety of Excel features, functions, and productivity tips Key FeaturesA non data professionals guide to exploring Excel's financial functions and pivot tablesLearn to prepare various models for income and cash flow statements, and balance sheetsLearn to perform valuations and identify growth drivers with real-world case studiesBook Description Financial modeling is a core skill required by anyone who wants to build a career in finance. Hands-On Financial Modeling with Microsoft Excel 2019 examines various definitions and relates them to the key features of financial modeling with the help of Excel. This book will help you understand financial modeling concepts using Excel, and provides you with an overview of the steps you should follow to build an integrated financial model. You will explore the design principles, functions, and techniques of building models in a practical manner. Starting with the key concepts of Excel, such as formulas and functions, you will learn about referencing frameworks and other advanced components of Excel for building financial models. Later chapters will help you understand your financial projects, build assumptions, and analyze historical data to develop data-driven models and functional growth drivers. The book takes an intuitive approach to model testing, along with best practices and practical use cases. By the end of this book, you will have examined the data from various use cases, and you will have the skills you need to build financial models to extract the information required to make informed business decisions. What you will learnIdentify the growth drivers derived from processing historical data in ExcelUse discounted cash flow (DCF) for efficient investment analysisBuild a financial model by projecting balance sheets, profit, and lossApply a Monte Carlo simulation to derive key assumptions for your financial modelPrepare detailed asset and debt schedule models in ExcelDiscover the latest and advanced features of Excel 2019Calculate profitability ratios using various profit parametersWho this book is for This book is for data professionals, analysts, traders, business owners, and students, who want to implement and develop a high in-demand skill of financial modeling in their finance, analysis, trading, and valuation work. This book will also help individuals that have and don't have any experience in data and stats, to get started with building financial models. The book assumes working knowledge with Excel. |
| equity research financial modeling: Building Financial Models John S. Tjia, 2004-01-10 Financial modeling is essential for determining a company's current value and projecting its future performance, yet few books explain how to build models for accurately interpreting financial statements. Building Financial Models is the first book to correct this oversight, unveiling a step-by-step process for creating a core model and then customizing it for companies in virtually any industry. Covering every aspect of building a financial model, it provides a broad understanding of the actual mechanics of models, as well as their foundational accounting and finance concepts. |
| equity research financial modeling: Using Excel for Business and Financial Modelling Danielle Stein Fairhurst, 2019-03-25 A hands-on guide to using Excel in the business context First published in 2012, Using Excel for Business and Financial Modelling contains step-by-step instructions of how to solve common business problems using financial models, including downloadable Excel templates, a list of shortcuts and tons of practical tips and techniques you can apply straight away. Whilst there are many hundreds of tools, features and functions in Excel, this book focuses on the topics most relevant to finance professionals. It covers these features in detail from a practical perspective, but also puts them in context by applying them to practical examples in the real world. Learn to create financial models to help make business decisions whilst applying modelling best practice methodology, tools and techniques. • Provides the perfect mix of practice and theory • Helps you become a DIY Excel modelling specialist • Includes updates for Excel 2019/365 and Excel for Mac • May be used as an accompaniment to the author’s online and face-to-face training courses Many people are often overwhelmed by the hundreds of tools in Excel, and this book gives clarity to the ones you need to know in order to perform your job more efficiently. This book also demystifies the technical, design, logic and financial skills you need for business and financial modelling. |
| equity research financial modeling: Pitch the Perfect Investment Paul D. Sonkin, Paul Johnson, 2017-09-12 Learn the overlooked skill that is essential to Wall Street success Pitch the Perfect Investment combines investment analysis with persuasion and sales to teach you the soft skill so crucial to success in the financial markets. Written by the leading authorities in investment pitching, this book shows you how to develop and exploit the essential, career-advancing skill of pitching value-creating ideas to win over clients and investors. You'll gain world-class insight into search strategy, data collection and research, securities analysis, and risk assessment and management to help you uncover the perfect opportunity; you'll then strengthen your critical thinking skills and draw on psychology, argumentation, and informal logic to craft the perfect pitch to showcase your perfect idea. The ability to effectively pitch an investment is essential to securing a job on Wall Street, where it immediately becomes a fundamental part of day-to-day business. This book gives you in-depth training along with access to complete online ancillaries and case studies so you can master the little skill that makes a big difference. It doesn't matter how great your investment ideas are if you can't convince anyone to actually invest. Ideas must come to fruition to be truly great, and this book gives you the tools and understanding you need to get it done. Persuade potential investors, clients, executives, and employers Source, analyze, value, and pitch your ideas for stocks and acquisitions Get hired, make money, expand your company, and win business Craft the perfect investment into the perfect pitch Money managers, analysts, bankers, executives, salespeople, students, and individual investors alike stand to gain massively by employing the techniques discussed here. If you're serious about success and ready to start moving up, Pitch the Perfect Investment shows you how to make it happen. |
| equity research financial modeling: The Tao of Trading Simon Ree, 2020-07-21 Stop dreaming of great returns and start achieving them. Deep down, you know that sticking your money in a bank account or mutual fund won't get you in the fast lane to prosperity, but you're not sure where to turn. If you're serious about growing your wealth quickly, you need a book that teaches time-tested strategies that will help to greatly accelerate your wealth creation. The Tao of Trading is that book. In his twenty-five years as a banker, adviser, and player in the markets, Simon Ree has witnessed firsthand the many hurdles individual investors must overcome to succeed. He wrote this book to put you on the fast-track to financial success. In this book, you'll learn: How to instantly read market trends so you're sailing with the wind at your back The most powerful tool in finance for building your wealth AND managing your risk How to generate consistent cash flow from the stock market Simple to learn techniques that will have you trading the markets like a pro And much more This is the resource you need to prosper whether markets are rising, falling...or crashing! |
| equity research financial modeling: Dynamic Models and Structural Estimation in Corporate Finance Ilya A. Strebulaev, Toni M. Whited, 2012-10-02 The goals of this monograph are to explain the models and techniques and make it more accessible, introduce the main strands of this literature, and explain how dynamic models can be taken to the data and estimated, providing a guide to 3 methodologies: generalized method of moments, simulated method of moments, and maximum simulated likelihood. |
EQUITY Definition & Meaning - Merriam-Webster
The meaning of EQUITY is fairness or justice in the way people are treated; often, specifically : freedom from disparities in the way people of different races, genders, etc. are treated. How to …
Equity: Meaning, How It Works, and How to Calculate It
Jun 7, 2025 · Equity is the remaining value of an asset or investment after considering or paying any debt owed; the term is also used to refer to capital used for funding or a brand's value. …
Equity (finance) - Wikipedia
In finance, equity is an ownership interest in property that may be subject to debts or other liabilities. Equity is measured for accounting purposes by subtracting liabilities from the value …
What is equity and how does it work? | Fidelity - Fidelity Investments
Feb 3, 2025 · Equity is ownership, or more specifically, the value of an ownership stake after subtracting for any liabilities (meaning debts). For example, if your home (an asset) is worth …
EQUITY | English meaning - Cambridge Dictionary
EQUITY definition: 1. the value of a company, divided into many equal parts owned by the shareholders, or one of the…. Learn more.
Equity | Definition, Examples, Benefits, and Risks - Finance …
Mar 29, 2023 · Equity represents the amount of money that would be returned to a company's shareholders if that company were to liquefy its assets, pay off its debts, and distribute the …
Equity - Definition, Example, Market Value, Estimiate
What is Equity? In finance and accounting, equity is the value attributable to the owners of a business.
EQUITY Definition & Meaning | Dictionary.com
the quality of being fair or impartial; fairness; impartiality. the equity of Solomon. something that is fair and just. The concepts and principles of health equities and inequities are important to …
Equity | Definition & Examples - InvestingAnswers
Nov 24, 2020 · Equity is an important term to understand for both personal investing, real estate purchases, and company shareholders. Comparing this ownership value metric over time …
What is equity? Definition and examples - Market Business News
Equity is the ownership of any asset after any liabilities associated with the asset are cleared. For example, if you own a car worth $25,000, but you owe $10,000 on that vehicle, the car …
EQUITY Definition & Meaning - Merriam-Webster
The meaning of EQUITY is fairness or justice in the way people are treated; often, specifically : freedom from disparities in the way people of different races, genders, etc. are treated. How to use equity in a sentence.
Equity: Meaning, How It Works, and How to Calculate It - Investopedia
Jun 7, 2025 · Equity is the remaining value of an asset or investment after considering or paying any debt owed; the term is also used to refer to capital used for funding or a brand's value. What Is Equity?...
Equity (finance) - Wikipedia
In finance, equity is an ownership interest in property that may be subject to debts or other liabilities. Equity is measured for accounting purposes by subtracting liabilities from the value of the assets owned.
What is equity and how does it work? | Fidelity - Fidelity Investme…
Feb 3, 2025 · Equity is ownership, or more specifically, the value of an ownership stake after subtracting for any liabilities (meaning debts). For example, if your home (an asset) is worth $500,000 and you have an …
EQUITY | English meaning - Cambridge Dictionary
EQUITY definition: 1. the value of a company, divided into many equal parts owned by the shareholders, or one of the…. Learn more.
