Modeling Markets

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Modeling Markets

Author : Peter S.H. Leeflang
Publisher : Springer
ISBN 13 : 1493920863
Total Pages : 417 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Modeling Markets by : Peter S.H. Leeflang

Download or read book Modeling Markets written by Peter S.H. Leeflang and published by Springer. This book was released on 2014-11-12 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about how models can be developed to represent demand and supply on markets, where the emphasis is on demand models. Its primary focus is on models that can be used by managers to support marketing decisions. Modeling Markets presents a comprehensive overview of the tools and methodologies that managers can use in decision making. It has long been known that even simple models outperform judgments in predicting outcomes in a wide variety of contexts. More complex models potentially provide insights about structural relations not available from casual observations. In this book, the authors present a wealth of insights developed at the forefront of the field, covering all key aspects of specification, estimation, validation and use of models. The most current insights and innovations in quantitative marketing are presented, including in-depth discussion of Bayesian estimation methods. Throughout the book, the authors provide examples and illustrations. This book will be of interest to researchers, analysts, managers and students who want to understand, develop or use models of marketing phenomena.

Advanced Methods for Modeling Markets

Author : Peter S. H. Leeflang
Publisher : Springer
ISBN 13 : 3319534696
Total Pages : 733 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Advanced Methods for Modeling Markets by : Peter S. H. Leeflang

Download or read book Advanced Methods for Modeling Markets written by Peter S. H. Leeflang and published by Springer. This book was released on 2017-08-29 with total page 733 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents advanced techniques to modeling markets, with a wide spectrum of topics, including advanced individual demand models, time series analysis, state space models, spatial models, structural models, mediation, models that specify competition and diffusion models. It is intended as a follow-on and companion to Modeling Markets (2015), in which the authors presented the basics of modeling markets along the classical steps of the model building process: specification, data collection, estimation, validation and implementation. This volume builds on the concepts presented in Modeling Markets with an emphasis on advanced methods that are used to specify, estimate and validate marketing models, including structural equation models, partial least squares, mixture models, and hidden Markov models, as well as generalized methods of moments, Bayesian analysis, non/semi-parametric estimation and endogeneity issues. Specific attention is given to big data. The market environment is changing rapidly and constantly. Models that provide information about the sensitivity of market behavior to marketing activities such as advertising, pricing, promotions and distribution are now routinely used by managers for the identification of changes in marketing programs that can improve brand performance. In today’s environment of information overload, the challenge is to make sense of the data that is being provided globally, in real time, from thousands of sources. Although marketing models are now widely accepted, the quality of the marketing decisions is critically dependent upon the quality of the models on which those decisions are based. This volume provides an authoritative and comprehensive review, with each chapter including: · an introduction to the method/methodology · a numerical example/application in marketing · references to other marketing applications · suggestions about software. Featuring contributions from top authors in the field, this volume will explore current and future aspects of modeling markets, providing relevant and timely research and techniques to scientists, researchers, students, academics and practitioners in marketing, management and economics.

Complementarity Modeling in Energy Markets

Author : Steven A. Gabriel
Publisher : Springer Science & Business Media
ISBN 13 : 1441961232
Total Pages : 637 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Complementarity Modeling in Energy Markets by : Steven A. Gabriel

Download or read book Complementarity Modeling in Energy Markets written by Steven A. Gabriel and published by Springer Science & Business Media. This book was released on 2012-07-20 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: This addition to the ISOR series introduces complementarity models in a straightforward and approachable manner and uses them to carry out an in-depth analysis of energy markets, including formulation issues and solution techniques. In a nutshell, complementarity models generalize: a. optimization problems via their Karush-Kuhn-Tucker conditions b. on-cooperative games in which each player may be solving a separate but related optimization problem with potentially overall system constraints (e.g., market-clearing conditions) c. conomic and engineering problems that aren’t specifically derived from optimization problems (e.g., spatial price equilibria) d. roblems in which both primal and dual variables (prices) appear in the original formulation (e.g., The National Energy Modeling System (NEMS) or its precursor, PIES). As such, complementarity models are a very general and flexible modeling format. A natural question is why concentrate on energy markets for this complementarity approach? s it turns out, energy or other markets that have game theoretic aspects are best modeled by complementarity problems. The reason is that the traditional perfect competition approach no longer applies due to deregulation and restructuring of these markets and thus the corresponding optimization problems may no longer hold. Also, in some instances it is important in the original model formulation to involve both primal variables (e.g., production) as well as dual variables (e.g., market prices) for public and private sector energy planning. Traditional optimization problems can not directly handle this mixing of primal and dual variables but complementarity models can and this makes them all that more effective for decision-makers.

Financial Modeling of the Equity Market

Author : Frank J. Fabozzi
Publisher : John Wiley & Sons
ISBN 13 : 0470037695
Total Pages : 673 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Financial Modeling of the Equity Market by : Frank J. Fabozzi

Download or read book Financial Modeling of the Equity Market written by Frank J. Fabozzi and published by John Wiley & Sons. This book was released on 2006-03-31 with total page 673 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Market Risk and Financial Markets Modeling

Author : Didier Sornette
Publisher : Springer Science & Business Media
ISBN 13 : 3642279317
Total Pages : 260 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Market Risk and Financial Markets Modeling by : Didier Sornette

Download or read book Market Risk and Financial Markets Modeling written by Didier Sornette and published by Springer Science & Business Media. This book was released on 2012-02-03 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: The current financial crisis has revealed serious flaws in models, measures and, potentially, theories, that failed to provide forward-looking expectations for upcoming losses originated from market risks. The Proceedings of the Perm Winter School 2011 propose insights on many key issues and advances in financial markets modeling and risk measurement aiming to bridge the gap. The key addressed topics include: hierarchical and ultrametric models of financial crashes, dynamic hedging, arbitrage free modeling the term structure of interest rates, agent based modeling of order flow, asset pricing in a fractional market, hedge funds performance and many more.

Agent-Based Modeling

Author : Norman Ehrentreich
Publisher : Springer Science & Business Media
ISBN 13 : 3540738789
Total Pages : 238 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis Agent-Based Modeling by : Norman Ehrentreich

Download or read book Agent-Based Modeling written by Norman Ehrentreich and published by Springer Science & Business Media. This book was released on 2007-10-30 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reconciles the existence of technical trading with the Efficient Market Hypothesis. By analyzing a well-known agent-based model, the Santa Fe Institute Artificial Stock Market (SFI-ASM), it finds that when selective forces are weak, financial evolution cannot guarantee that only the fittest trading rules will survive. Its main contribution lies in the application of standard results from population genetics which have widely been neglected in the agent-based community.

Stochastic Modelling of Electricity and Related Markets

Author : Fred Espen Benth
Publisher : World Scientific
ISBN 13 : 981281230X
Total Pages : 352 pages
Book Rating : 4.8/5 (128 download)

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Book Synopsis Stochastic Modelling of Electricity and Related Markets by : Fred Espen Benth

Download or read book Stochastic Modelling of Electricity and Related Markets written by Fred Espen Benth and published by World Scientific. This book was released on 2008 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: The markets for electricity, gas and temperature have distinctive features, which provide the focus for countless studies. For instance, electricity and gas prices may soar several magnitudes above their normal levels within a short time due to imbalances in supply and demand, yielding what is known as spikes in the spot prices. The markets are also largely influenced by seasons, since power demand for heating and cooling varies over the year. The incompleteness of the markets, due to nonstorability of electricity and temperature as well as limited storage capacity of gas, makes spot-forward hedging impossible. Moreover, futures contracts are typically settled over a time period rather than at a fixed date. All these aspects of the markets create new challenges when analyzing price dynamics of spot, futures and other derivatives.This book provides a concise and rigorous treatment on the stochastic modeling of energy markets. Ornstein?Uhlenbeck processes are described as the basic modeling tool for spot price dynamics, where innovations are driven by time-inhomogeneous jump processes. Temperature futures are studied based on a continuous higher-order autoregressive model for the temperature dynamics. The theory presented here pays special attention to the seasonality of volatility and the Samuelson effect. Empirical studies using data from electricity, temperature and gas markets are given to link theory to practice.

Complexity in Financial Markets

Author : Matthieu Cristelli
Publisher : Springer Science & Business Media
ISBN 13 : 3319007238
Total Pages : 223 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Complexity in Financial Markets by : Matthieu Cristelli

Download or read book Complexity in Financial Markets written by Matthieu Cristelli and published by Springer Science & Business Media. This book was released on 2013-08-28 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tools and methods from complex systems science can have a considerable impact on the way in which the quantitative assessment of economic and financial issues is approached, as discussed in this thesis. First it is shown that the self-organization of financial markets is a crucial factor in the understanding of their dynamics. In fact, using an agent-based approach, it is argued that financial markets’ stylized facts appear only in the self-organized state. Secondly, the thesis points out the potential of so-called big data science for financial market modeling, investigating how web-driven data can yield a picture of market activities: it has been found that web query volumes anticipate trade volumes. As a third achievement, the metrics developed here for country competitiveness and product complexity is groundbreaking in comparison to mainstream theories of economic growth and technological development. A key element in assessing the intangible variables determining the success of countries in the present globalized economy is represented by the diversification of the productive basket of countries. The comparison between the level of complexity of a country's productive system and economic indicators such as the GDP per capita discloses its hidden growth potential.

Stock Market Modeling and Forecasting

Author : Xiaolian Zheng
Publisher : Springer
ISBN 13 : 1447151550
Total Pages : 166 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Stock Market Modeling and Forecasting by : Xiaolian Zheng

Download or read book Stock Market Modeling and Forecasting written by Xiaolian Zheng and published by Springer. This book was released on 2013-04-05 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stock Market Modeling and Forecasting translates experience in system adaptation gained in an engineering context to the modeling of financial markets with a view to improving the capture and understanding of market dynamics. The modeling process is considered as identifying a dynamic system in which a real stock market is treated as an unknown plant and the identification model proposed is tuned by feedback of the matching error. Like a physical system, a financial market exhibits fast and slow dynamics corresponding to external (such as company value and profitability) and internal forces (such as investor sentiment and commodity prices) respectively. The framework presented here, consisting of an internal model and an adaptive filter, is successful at considering both fast and slow market dynamics. A double selection method is efficacious in identifying input factors influential in market movements, revealing them to be both frequency- and market-dependent. The authors present work on both developed and developing markets in the shape of the US, Hong Kong, Chinese and Singaporean stock markets. Results from all these sources demonstrate the efficiency of the model framework in identifying significant influences and the quality of its predictive ability; promising results are also obtained by applying the model framework to the forecasting of major market-turning periods. Having shown that system-theoretic ideas can form the core of a novel and effective basis for stock market analysis, the book is completed by an indication of possible and likely future expansions of the research in this area.

Statistical Models and Methods for Financial Markets

Author : Tze Leung Lai
Publisher : Springer Science & Business Media
ISBN 13 : 0387778276
Total Pages : 363 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Statistical Models and Methods for Financial Markets by : Tze Leung Lai

Download or read book Statistical Models and Methods for Financial Markets written by Tze Leung Lai and published by Springer Science & Business Media. This book was released on 2008-09-08 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea of writing this bookarosein 2000when the ?rst author wasassigned to teach the required course STATS 240 (Statistical Methods in Finance) in the new M. S. program in ?nancial mathematics at Stanford, which is an interdisciplinary program that aims to provide a master’s-level education in applied mathematics, statistics, computing, ?nance, and economics. Students in the programhad di?erent backgroundsin statistics. Some had only taken a basic course in statistical inference, while others had taken a broad spectrum of M. S. - and Ph. D. -level statistics courses. On the other hand, all of them had already taken required core courses in investment theory and derivative pricing, and STATS 240 was supposed to link the theory and pricing formulas to real-world data and pricing or investment strategies. Besides students in theprogram,thecoursealso attractedmanystudentsfromother departments in the university, further increasing the heterogeneity of students, as many of them had a strong background in mathematical and statistical modeling from the mathematical, physical, and engineering sciences but no previous experience in ?nance. To address the diversity in background but common strong interest in the subject and in a potential career as a “quant” in the ?nancialindustry,thecoursematerialwascarefullychosennotonlytopresent basic statistical methods of importance to quantitative ?nance but also to summarize domain knowledge in ?nance and show how it can be combined with statistical modeling in ?nancial analysis and decision making. The course material evolved over the years, especially after the second author helped as the head TA during the years 2004 and 2005.

Modelling Spatial Housing Markets

Author : Geoffrey Meen
Publisher : Springer Science & Business Media
ISBN 13 : 1461516730
Total Pages : 279 pages
Book Rating : 4.4/5 (615 download)

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Book Synopsis Modelling Spatial Housing Markets by : Geoffrey Meen

Download or read book Modelling Spatial Housing Markets written by Geoffrey Meen and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial fixity is one of the characteristics that distinguishes housing from most other goods and services in the economy. In general, housing cannot be moved from one part of the country to another in response to shortages or excesses in particular areas. The modelling of housing markets and the interlinkages between markets at different spatial levels - international, national, regional and urban - are the main themes of this book. A second major theme is disaggregation, not only in terms of space, but also between households. The book argues that aggregate time-series models of housing markets of the type widely used in Britain and also in other countries in the past have become less relevant in a world of increasing income dispersion. Typically, aggregate relationships will break down, except under special conditions. We can no longer assume that traditional location or tenure patterns, for example, will continue in the future. The book has four main components. First, it discusses trends in housing markets both internationally and within nations. Second, the book develops theoretical housing models at each spatial scale, starting with national models, moving down to the regional level and, then, to urban models. Third, the book provides empirical estimates of the models and, finally, the models are used for policy analysis. Analysis ranges over a wide variety of topics, including explanations for differing international house price trends, the causes of housing cycles, the role of credit markets, regional housing market interactions and the role of housing in urban/suburban population drift.

Statistical Modeling and Analysis for Database Marketing

Author : Bruce Ratner
Publisher : CRC Press
ISBN 13 : 0203496906
Total Pages : 383 pages
Book Rating : 4.2/5 (34 download)

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Book Synopsis Statistical Modeling and Analysis for Database Marketing by : Bruce Ratner

Download or read book Statistical Modeling and Analysis for Database Marketing written by Bruce Ratner and published by CRC Press. This book was released on 2003-05-28 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditional statistical methods are limited in their ability to meet the modern challenge of mining large amounts of data. Data miners, analysts, and statisticians are searching for innovative new data mining techniques with greater predictive power, an attribute critical for reliable models and analyses. Statistical Modeling and Analysis fo

Mathematical Modelling of Contemporary Electricity Markets

Author : Athanasios Dagoumas
Publisher : Academic Press
ISBN 13 : 0128218398
Total Pages : 444 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Mathematical Modelling of Contemporary Electricity Markets by : Athanasios Dagoumas

Download or read book Mathematical Modelling of Contemporary Electricity Markets written by Athanasios Dagoumas and published by Academic Press. This book was released on 2021-01-30 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical Modelling of Contemporary Electricity Markets reviews major methodologies and tools to accurately analyze and forecast contemporary electricity markets in a ways that is ideal for practitioner and academic audiences. Approaches include optimization, neural networks, genetic algorithms, co-optimization, econometrics, E3 models and energy system models. The work examines how new challenges affect power market modeling, including discussions of stochastic renewables, price volatility, dynamic participation of demand, integration of storage and electric vehicles, interdependence with other commodity markets and the evolution of policy developments (market coupling processes, security of supply). Coverage addresses all major forms of electricity markets: day-ahead, forward, intraday, balancing, and capacity. Provides a diverse body of established techniques suitable for modeling any major aspect of electricity markets Familiarizes energy experts with the quantitative skills needed in competitive electricity markets Reviews market risk for energy investment decisions by stressing the multi-dimensionality of electricity markets

Market Response Models

Author : Dominique M. Hanssens
Publisher : Springer Science & Business Media
ISBN 13 : 0306475944
Total Pages : 507 pages
Book Rating : 4.3/5 (64 download)

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Book Synopsis Market Response Models by : Dominique M. Hanssens

Download or read book Market Response Models written by Dominique M. Hanssens and published by Springer Science & Business Media. This book was released on 2005-12-19 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: From 1976 to the beginning of the millennium—covering the quarter-century life span of this book and its predecessor—something remarkable has happened to market response research: it has become practice. Academics who teach in professional fields, like we do, dream of such things. Imagine the satisfaction of knowing that your work has been incorporated into the decision-making routine of brand managers, that category management relies on techniques you developed, that marketing management believes in something you struggled to establish in their minds. It’s not just us that we are talking about. This pride must be shared by all of the researchers who pioneered the simple concept that the determinants of sales could be found if someone just looked for them. Of course, economists had always studied demand. But the project of extending demand analysis would fall to marketing researchers, now called marketing scientists for good reason, who saw that in reality the marketing mix was more than price; it was advertising, sales force effort, distribution, promotion, and every other decision variable that potentially affected sales. The bibliography of this book supports the notion that the academic research in marketing led the way. The journey was difficult, sometimes halting, but ultimately market response research advanced and then insinuated itself into the fabric of modern management.

Modeling and Forecasting Primary Commodity Prices

Author : Walter C. Labys
Publisher : Routledge
ISBN 13 : 1351917080
Total Pages : 264 pages
Book Rating : 4.3/5 (519 download)

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Book Synopsis Modeling and Forecasting Primary Commodity Prices by : Walter C. Labys

Download or read book Modeling and Forecasting Primary Commodity Prices written by Walter C. Labys and published by Routledge. This book was released on 2017-03-02 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent economic growth in China and other Asian countries has led to increased commodity demand which has caused price rises and accompanying price fluctuations not only for crude oil but also for the many other raw materials. Such trends mean that world commodity markets are once again under intense scrutiny. This book provides new insights into the modeling and forecasting of primary commodity prices by featuring comprehensive applications of the most recent methods of statistical time series analysis. The latter utilize econometric methods concerned with structural breaks, unobserved components, chaotic discovery, long memory, heteroskedasticity, wavelet estimation and fractional integration. Relevant tests employed include neural networks, correlation dimensions, Lyapunov exponents, fractional integration and rescaled range. The price forecasting involves structural time series trend plus cycle and cyclical trend models. Practical applications focus on the price behaviour of more than twenty international commodity markets.

Modeling Maximum Trading Profits with C++

Author : Valerii Salov
Publisher : John Wiley & Sons
ISBN 13 : 0470112212
Total Pages : 266 pages
Book Rating : 4.4/5 (71 download)

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Book Synopsis Modeling Maximum Trading Profits with C++ by : Valerii Salov

Download or read book Modeling Maximum Trading Profits with C++ written by Valerii Salov and published by John Wiley & Sons. This book was released on 2007-03-15 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Mr. Salov has taken one of my favorite creations – Perfect Profit – and provided an expanded description of his interpretation of it and put it in your hands with the included software. Like I said fifteen years ago, Perfect Profit is an important tool for the trading system developer. See for yourself." —Robert Pardo, President, Pardo Capital Limited "A very in-depth reference for programmers that should serve well into the future. The code herein lends itself well to other syntactically similar programming languages such as Java, PHP, and C#." —Ralph Vince The goal of trading is to make money, and for many, profits are the best way to measure that success. Author Valerii Salov knows how to calculate potential profit, and in Modeling Maximum Trading Profits with C++, he outlines an original and thought-provoking approach to trading that will help you do the same. This detailed guide will show you how to effectively calculate the potential profit in a market under conditions of variable transaction costs, and provide you with the tools needed to compute those values from real prices. You'll be introduced to new notions of s-function, s-matrix, s-interval, and polarities of s-intervals, and discover how they can be used to build the r- and l-algorithms as well as the first and second profit and loss reserve algorithms. Optimal money management techniques are also illustrated throughout the book, so you can make the most informed trading decisions possible. Filled with in-depth insight and expert advice, Modeling Maximum Trading Profits with C++ contains a comprehensive overview of trading, money management, and C++. A companion website is also included to help you test the concepts described throughout the book before you attempt to use them in real-world situations.

Financial Modeling and Valuation

Author : Paul Pignataro
Publisher : John Wiley & Sons
ISBN 13 : 1118558766
Total Pages : 432 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Financial Modeling and Valuation by : Paul Pignataro

Download or read book Financial Modeling and Valuation written by Paul Pignataro and published by John Wiley & Sons. This book was released on 2013-07-10 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.