The Five Factor Fama And French Model
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| Author | : Soner Gokten |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 334 |
| Release | : 2018-01-17 |
| Genre | : Computers |
| ISBN | : 9535137360 |
One of the main reasons to name this book as Financial Management from an Emerging Market Perspective is to show the main differences of financial theory and practice in emerging markets other than the developed ones. Our many years of learning, teaching, and consulting experience have taught us that the theory of finance differs in developed and emerging markets. It is a well-known fact that emerging markets do not always share the same financial management problems with the developed ones. This book intends to show these differences, which could be traced to several characteristics unique to emerging markets, and these unique characteristics could generate a different view of finance theory in a different manner. As a consequence, different financial decisions, arrangements, institutions, and practices may evolve in emerging markets over time. The purpose of this book is to provide practitioners and academicians with a working knowledge of the different financial management applications and their use in an emerging market setting. Six main topics regarding the financial management applications in emerging markets are covered, and the context of these topics are "Capital Structure," "Market Efficiency and Market Models," "Merger and Acquisitions and Corporate Governance," "Working Capital Management," "Financial Economics and Digital Currency," and "Real Estate and Health Finance."
| Author | : Mark Sirower |
| Publisher | : Harvard Business Press |
| Total Pages | : 238 |
| Release | : 2022-03-15 |
| Genre | : Business & Economics |
| ISBN | : 164782043X |
The new M&A bible. Few actions can change the value of a company—and its competitive future—as quickly and dramatically as an acquisition. Yet most companies fail to create shareholder value from these deals, and in many cases they destroy it. It doesn't have to be this way. In The Synergy Solution, Deloitte's Mark Sirower and Jeff Weirens show acquirers how to develop and execute an M&A strategy—end to end—that not only avoids the pitfalls that so many companies fall into but also creates real, long-term shareholder value. This strategy includes how to: Become a prepared "always on" acquirer Test the investment thesis and DCF valuation of a deal Plan for a successful Announcement Day, and properly communicate synergy promises to investors and other stakeholders Realize those promised synergies through integration planning and post-close execution Manage change and build a new, combined organization Sirower and Weirens provide invaluable background to those considering M&A, laying out the issues they have to consider, how to analyze them, and how to plan and execute the deal effectively. They also show those who have already started the process of M&A how to maximize their chances of success. There's an art and a science to getting mergers and acquisitions right, and this powerful book provides the insights and strategies acquirers need to find success at every stage of an often complex and perilous process.
| Author | : Svetlozar T. Rachev |
| Publisher | : John Wiley & Sons |
| Total Pages | : 560 |
| Release | : 2007-03-22 |
| Genre | : Business & Economics |
| ISBN | : 0470121521 |
A comprehensive guide to financial econometrics Financial econometrics is a quest for models that describe financial time series such as prices, returns, interest rates, and exchange rates. In Financial Econometrics, readers will be introduced to this growing discipline and the concepts and theories associated with it, including background material on probability theory and statistics. The experienced author team uses real-world data where possible and brings in the results of published research provided by investment banking firms and journals. Financial Econometrics clearly explains the techniques presented and provides illustrative examples for the topics discussed. Svetlozar T. Rachev, PhD (Karlsruhe, Germany) is currently Chair-Professor at the University of Karlsruhe. Stefan Mittnik, PhD (Munich, Germany) is Professor of Financial Econometrics at the University of Munich. Frank J. Fabozzi, PhD, CFA, CFP (New Hope, PA) is an adjunct professor of Finance at Yale University’s School of Management. Sergio M. Focardi (Paris, France) is a founding partner of the Paris-based consulting firm The Intertek Group. Teo Jasic, PhD, (Frankfurt, Germany) is a senior manager with a leading international management consultancy firm in Frankfurt.
| Author | : Adam Zaremba |
| Publisher | : Springer |
| Total Pages | : 325 |
| Release | : 2018-07-25 |
| Genre | : Business & Economics |
| ISBN | : 3319915304 |
This compelling book examines the price-based revolution in investing, showing how research over recent decades has reinvented technical analysis. The authors discuss the major groups of price-based strategies, considering their theoretical motivation, individual and combined implementation, and back-tested results when applied to investment across country stock markets. Containing a comprehensive sample of performance data, taken from 24 major developed markets around the world and ranging over the last 25 years, the authors construct practical portfolios and display their performance—ensuring the book is not only academically rigorous, but practically applicable too. This is a highly useful volume that will be of relevance to researchers and students working in the field of price-based investing, as well as individual investors, fund pickers, market analysts, fund managers, pension fund consultants, hedge fund portfolio managers, endowment chief investment officers, futures traders, and family office investors.
| Author | : Larry E. Swedroe |
| Publisher | : Macmillan + ORM |
| Total Pages | : 197 |
| Release | : 2005-01-01 |
| Genre | : Business & Economics |
| ISBN | : 1429972955 |
Investment professional Larry E. Swedroe describes the crucial difference between "active" and "passive" mutual funds, and tells you how you can win the investment game through long-term investments in such indexes as the S&P 500 instead of through the active buying and selling of stocks. A revised and updated edition of an investment classic, The Only Guide to a Winning Investment Strategy You'll Ever Need remains clear, understandable, and effective. This edition contains a new chapter comparing index funds, ETFs, and passive asset class funds, an expanded section on portfolio care and maintenance, the addition of Swedroe's 15 Rules of Prudent Investing, and much more. In clear language, Swedroe shows how the newer index mutual funds out-earn, out-perform, and out-compound the older funds, and how to select a balance "passive" portfolio for the long hail that will repay you many times over. This indispensable book also provides you with valuable information about: - The efficiency of markets today - The five factors that determine expected returns of a balanced equity and fixed income portfolio - Important facts about volatility, return, and risk - Six steps to building a diversified portfolio using Modern Portfolio Theory - Implementing the winning strategy - and more.
| Author | : Jonathan K. Regenstein, Jr. |
| Publisher | : CRC Press |
| Total Pages | : 248 |
| Release | : 2018-09-24 |
| Genre | : Mathematics |
| ISBN | : 1351052608 |
Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment management that explores the three major R/finance coding paradigms, emphasizes data visualization, and explains how to build a cohesive suite of functioning Shiny applications. The full source code, asset price data and live Shiny applications are available at reproduciblefinance.com. The ideal reader works in finance or wants to work in finance and has a desire to learn R code and Shiny through simple, yet practical real-world examples. The book begins with the first step in data science: importing and wrangling data, which in the investment context means importing asset prices, converting to returns, and constructing a portfolio. The next section covers risk and tackles descriptive statistics such as standard deviation, skewness, kurtosis, and their rolling histories. The third section focuses on portfolio theory, analyzing the Sharpe Ratio, CAPM, and Fama French models. The book concludes with applications for finding individual asset contribution to risk and for running Monte Carlo simulations. For each of these tasks, the three major coding paradigms are explored and the work is wrapped into interactive Shiny dashboards.
| Author | : Wesley R. Gray |
| Publisher | : John Wiley & Sons |
| Total Pages | : 215 |
| Release | : 2016-10-03 |
| Genre | : Business & Economics |
| ISBN | : 111923719X |
The individual investor's comprehensive guide to momentum investing Quantitative Momentum brings momentum investing out of Wall Street and into the hands of individual investors. In his last book, Quantitative Value, author Wes Gray brought systematic value strategy from the hedge funds to the masses; in this book, he does the same for momentum investing, the system that has been shown to beat the market and regularly enriches the coffers of Wall Street's most sophisticated investors. First, you'll learn what momentum investing is not: it's not 'growth' investing, nor is it an esoteric academic concept. You may have seen it used for asset allocation, but this book details the ways in which momentum stands on its own as a stock selection strategy, and gives you the expert insight you need to make it work for you. You'll dig into its behavioral psychology roots, and discover the key tactics that are bringing both institutional and individual investors flocking into the momentum fold. Systematic investment strategies always seem to look good on paper, but many fall down in practice. Momentum investing is one of the few systematic strategies with legs, withstanding the test of time and the rigor of academic investigation. This book provides invaluable guidance on constructing your own momentum strategy from the ground up. Learn what momentum is and is not Discover how momentum can beat the market Take momentum beyond asset allocation into stock selection Access the tools that ease DIY implementation The large Wall Street hedge funds tend to portray themselves as the sophisticated elite, but momentum investing allows you to 'borrow' one of their top strategies to enrich your own portfolio. Quantitative Momentum is the individual investor's guide to boosting market success with a robust momentum strategy.
| Author | : John H. Cochrane |
| Publisher | : Now Publishers Inc |
| Total Pages | : 117 |
| Release | : 2005 |
| Genre | : Business & Economics |
| ISBN | : 1933019158 |
Financial Markets and the Real Economy reviews the current academic literature on the macroeconomics of finance.
| Author | : Christoph Lohrmann |
| Publisher | : GRIN Verlag |
| Total Pages | : 42 |
| Release | : 2015-08-18 |
| Genre | : Business & Economics |
| ISBN | : 3668032238 |
Seminar paper from the year 2014 in the subject Economics - Finance, grade: 6,0 (Schweizer Notensystem), University of Liechtenstein, früher Hochschule Liechtenstein, language: English, abstract: This paper is focused on comparing the Capital Asset Pricing Model, the Fama-French Three Factor model and two modified versions of the Fama-French Model in their ability to explain excess returns. The first modified model contains the same explanatory variables as the Fama-French Model but with an additional AR(1) process. The second modification contains instead of an additional AR(1) an AR(2) process. Evaluated by the adjusted R2 and the Akaike information criterion, the Fama-French model yields a higher model-fit than the CAPM. The modified Fama-French Model with an AR(2) process leads to significant results for the twice lagged return in the model in four out of six tested portfolios. Therefore, the in-sample regression reveals a higher model-fit of the modified Fama-French model with AR(2) in comparison to the other three models. Since the results differ from a regression in the subsequent period, the results are most likely spurious. Nevertheless, the authors show the high-er model-fit of the Fama-French Three Factor Model in relation to the CAPM.
| Author | : Yuxing Yan |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 586 |
| Release | : 2017-06-30 |
| Genre | : Computers |
| ISBN | : 1787125025 |
Learn and implement various Quantitative Finance concepts using the popular Python libraries About This Book Understand the fundamentals of Python data structures and work with time-series data Implement key concepts in quantitative finance using popular Python libraries such as NumPy, SciPy, and matplotlib A step-by-step tutorial packed with many Python programs that will help you learn how to apply Python to finance Who This Book Is For This book assumes that the readers have some basic knowledge related to Python. However, he/she has no knowledge of quantitative finance. In addition, he/she has no knowledge about financial data. What You Will Learn Become acquainted with Python in the first two chapters Run CAPM, Fama-French 3-factor, and Fama-French-Carhart 4-factor models Learn how to price a call, put, and several exotic options Understand Monte Carlo simulation, how to write a Python program to replicate the Black-Scholes-Merton options model, and how to price a few exotic options Understand the concept of volatility and how to test the hypothesis that volatility changes over the years Understand the ARCH and GARCH processes and how to write related Python programs In Detail This book uses Python as its computational tool. Since Python is free, any school or organization can download and use it. This book is organized according to various finance subjects. In other words, the first edition focuses more on Python, while the second edition is truly trying to apply Python to finance. The book starts by explaining topics exclusively related to Python. Then we deal with critical parts of Python, explaining concepts such as time value of money stock and bond evaluations, capital asset pricing model, multi-factor models, time series analysis, portfolio theory, options and futures. This book will help us to learn or review the basics of quantitative finance and apply Python to solve various problems, such as estimating IBM's market risk, running a Fama-French 3-factor, 5-factor, or Fama-French-Carhart 4 factor model, estimating the VaR of a 5-stock portfolio, estimating the optimal portfolio, and constructing the efficient frontier for a 20-stock portfolio with real-world stock, and with Monte Carlo Simulation. Later, we will also learn how to replicate the famous Black-Scholes-Merton option model and how to price exotic options such as the average price call option. Style and approach This book takes a step-by-step approach in explaining the libraries and modules in Python, and how they can be used to implement various aspects of quantitative finance. Each concept is explained in depth and supplemented with code examples for better understanding.
