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Financial modeling is the knowledge of various tools that are able to convert the extensive data into the comprehensible form. It is a skill which is required by management especially in the field of investment banking, equity research, commercial banking, project management and any & every sector which is a part of the financial service industry. The crash course undertakes different aspects which will enable the students to go in the financial world and manage these various tools. The crash course is designed for students who are looking for a career in the Corporate Finance world. Upon completion of the course, the students gain in-depth knowledge and they will be able to create dynamic financial models. The dynamic business world requires a model in cases like mergers and acquisitions, financial operations and controlling and the required skill is imparted by the Financial Modeling crash course. The students become ready to work on the spectrum of information and with the help of Excel and additional tools are ready to make a mark in the industry.
Seamlessly bridging academic accounting with real-life applications, Crash Course in Accounting and Financial Statement Analysis, Second Edition is the perfect guide to a complete understanding of accounting and financial statement analysis for those with no prior accounting background and those who seek a refresher.
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.
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 is the knowledge of various tools that are able to convert the extensive data into the comprehensible form. It is a skill which is required by management especially in the field of investment banking, equity research, commercial banking, project management and any & every sector which is a part of the financial service industry. The crash course undertakes different aspects which will enable the students to go in the financial world and manage these various tools. The crash course is designed for students who are looking for a career in the Corporate Finance world. Upon completion of the course, the students gain in-depth knowledge and they will be able to create dynamic financial models. The dynamic business world requires a model in cases like mergers and acquisitions, financial operations and controlling and the required skill is imparted by the Financial Modeling crash course. The students become ready to work on the spectrum of information and with the help of Excel and additional tools are ready to make a mark in the industry.
This myth shattering book reveals the methods Nouriel Roubini used to foretell the current crisis before other economists saw it coming and shows how those methods can help us make sense of the present and prepare for the future. Renowned economist Nouriel Roubini electrified his profession and the larger financial community by predicting the current crisis well in advance of anyone else. Unlike most in his profession who treat economic disasters as freakish once-in-­a-lifetime events without clear cause, Roubini, after decades of careful research around the world, realized that they were both probable and predictable. Armed with an unconventional blend of historical analysis and global economics, Roubini has forced politicians, policy makers, investors, and market watchers to face a long-neglected truth: financial systems are inherently fragile and prone to collapse. Drawing on the parallels from many countries and centuries, Nouriel Roubini and Stephen Mihm, a professor of economic history and a New York Times Magazine writer, show that financial cataclysms are as old and as ubiquitous as capitalism itself. The last two decades alone have witnessed comparable crises in countries as diverse as Mexico, Thailand, Brazil, Pakistan, and Argentina. All of these crises-not to mention the more sweeping cataclysms such as the Great Depression-have much in common with the current downturn. Bringing lessons of earlier episodes to bear on our present predicament, Roubini and Mihm show how we can recognize and grapple with the inherent instability of the global financial system, understand its pressure points, learn from previous episodes of "irrational exuberance," pinpoint the course of global contagion, and plan for our immediate future. Perhaps most important, the authors-considering theories, statistics, and mathematical models with the skepticism that recent history warrants—explain how the world's economy can get out of the mess we're in, and stay out. In Roubini's shadow, economists and investors are increasingly realizing that they can no longer afford to consider crises the black swans of financial history. A vital and timeless book, Crisis Economics proves calamities to be not only predictable but also preventable and, with the right medicine, curable.
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.
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.
Too often, finance courses stop short of making a connection between textbook financeand the problems of real-world business. Financial Modeling bridges this gapbetween theory and practice by providing a nuts-and-bolts guide to solving common financial modelswith spreadsheets. Simon Benninga takes the reader step by step through each model, showing how itcan be solved using Microsoft Excel. The long-awaited third edition of this standard text maintainsthe "cookbook" features and Excel dependence that have made the first and second editionsso popular. It also offers significant new material, with new chapters covering such topics as bankvaluation, the Black-Litterman approach to portfolio optimization, Monte Carlo methods and theirapplications to option pricing, and using array functions and formulas. Other chapters, includingthose on basic financial calculations, portfolio models, calculating the variance-covariance matrix,and generating random numbers, have been revised, with many offering substantially new and improvedmaterial. Other areas covered include financial statement modeling, leasing, standard portfolioproblems, value at risk (VaR), real options, duration and immunization, and term structure modeling.Technical chapters treat such topics as data tables, matrices, the Gauss-Seidel method, and tips forusing Excel. The last section of the text covers the Visual Basic for Applications (VBA) techniquesneeded for the book. The accompanying CD contains Excel worksheets and solutions to end-of-chapterexercises.
In An Engine, Not a Camera, Donald MacKenzie argues that the emergence of modern economic theories of finance affected financial markets in fundamental ways. These new, Nobel Prize-winning theories, based on elegant mathematical models of markets, were not simply external analyses but intrinsic parts of economic processes. Paraphrasing Milton Friedman, MacKenzie says that economic models are an engine of inquiry rather than a camera to reproduce empirical facts. More than that, the emergence of an authoritative theory of financial markets altered those markets fundamentally. For example, in 1970, there was almost no trading in financial derivatives such as "futures." By June of 2004, derivatives contracts totaling $273 trillion were outstanding worldwide. MacKenzie suggests that this growth could never have happened without the development of theories that gave derivatives legitimacy and explained their complexities. MacKenzie examines the role played by finance theory in the two most serious crises to hit the world's financial markets in recent years: the stock market crash of 1987 and the market turmoil that engulfed the hedge fund Long-Term Capital Management in 1998. He also looks at finance theory that is somewhat beyond the mainstream—chaos theorist Benoit Mandelbrot's model of "wild" randomness. MacKenzie's pioneering work in the social studies of finance will interest anyone who wants to understand how America's financial markets have grown into their current form.