Stock Analysis in the Twenty-First Century and Beyond
Title | Stock Analysis in the Twenty-First Century and Beyond PDF eBook |
Author | Thomas E. Berghage |
Publisher | Xlibris Corporation |
Pages | 240 |
Release | 2014-07-30 |
Genre | Business & Economics |
ISBN | 1499049072 |
Stock Analysis in the Twenty-First Century and Beyond For years, financial analysts have struggled with the fact that practically all the financial measures used to analyze corporate performance lack predictive power when it comes to forecasting the market performance of the company’s stock. Numerous academic studies have documented and reported this lack of predictability. Correlation coefficients close to zero have been reported for the relationship between stock market performance and such critical financial measures as earnings growth, sales growth, price/earnings ratio, return on equity, intrinsic value (models based on discounted cash flow or dividends), and many more. It is this disconnect between traditional financial measures and the performance of stocks in the marketplace that has led to the now-famous efficient market hypothesis, the cornerstone of modern portfolio theory. To accept the idea that the future performance of stocks is unpredictable is to say that nothing a company does will affect the future performance of its stock in the market, and that is absurd. It would be more accurate to say that everything a company does will affect the future performance of its stock in the market. The problem with this statement is that it makes the forecasting of future stock performance so complex that it removes it from the realm of human solution. Confident in the belief that something other than chance and irrational investors determine future stock prices, several research groups around the world have started exploring the use of intelligent computer programs (programs that self-organize based on environmental feedback). Early results are very promising and have provided a glimpse of the economic forces described by Adam Smith as the invisible hand that guides economic activity. Stock Analysis in the Twenty-First Century and Beyond describes the stock analysis problem and explores one of the more successful efforts to harness the new intelligent computer technology. Many people mistakenly classify Artificially Intelligent (AI) computer systems as a form of quantitative analysis. There are two distinct differences between advanced AI systems and traditional quantitative analysis. They are (1) who makes up the selection rules and weighting and (2) what information is used to discriminate between good- and poor-performing securities. In most quantitative systems, even in an advanced expert system form, humans make up the investment rules and mathematically derive the weightings associated with the rules. Computer systems that depend on outside human intelligence to program their actions are not inherently intelligent. In advanced AI systems, the computer makes up its own rules and weightings. The computer learns from examples of good- and poor-performing stocks and determines its own ways for discriminating between them. The procedures that are derived by the computer are often so complex that they defy human understanding. In addition to making up its own rules, advanced AI systems look at corporate financial data differently. Just like in the human brain, where information is not stored in the brain cells but rather in the connections and relationships between cells, so too is corporate performance information stored in the relationships between financial numbers. Assessing the performance of companies is not so much in the numbers as it is in the connections between the numbers. Financial analysts recognized this early on and have used first-order relational information in the form of financial ratios for many years (price/book, debt/equity, current assets / current liabilities, price/earnings, etc.). Now with advanced AI systems, we are finally able to look at and evaluate high-order interrelationships in financial data that have been far too complex to analyze with less sophisticated systems. These then are the fundamental differences between what has been used in the past and what will be used in the future. Cdr. Thomas E. Berghage
Stock Analysis in the Twenty-First Century and Beyond
Title | Stock Analysis in the Twenty-First Century and Beyond PDF eBook |
Author | Thomas E. Berghage |
Publisher | Xlibris Corporation |
Pages | 240 |
Release | 2014-07-29 |
Genre | Business & Economics |
ISBN | 1499049064 |
For years, financial analysts have struggled with the fact that practically all the financial measures used to analyze corporate performance lack predictive power when it comes to forecasting the market performance of the company's stock. Numerous academic studies have documented and reported this lack of predictability. Correlation coefficients close to zero have been reported for the relationship between stock market performance and such critical financial measures as earnings growth, sales growth, price/earnings ratio, return on equity, intrinsic value (models based on discounted cash flow or dividends), and many more. It is this disconnect between traditional financial measures and the performance of stocks in the marketplace that has led to the now-famous efficient market hypothesis, the cornerstone of modern portfolio theory. To accept the idea that the future performance of stocks is unpredictable is to say that nothing a company does will affect the future performance of its stock in the market, and that is absurd. It would be more accurate to say that everything a company does will affect the future performance of its stock in the market. The problem with this statement is that it makes the forecasting of future stock performance so complex that it removes it from the realm of human solution.
Capital in the Twenty-First Century
Title | Capital in the Twenty-First Century PDF eBook |
Author | Thomas Piketty |
Publisher | Harvard University Press |
Pages | 817 |
Release | 2017-08-14 |
Genre | Business & Economics |
ISBN | 0674979850 |
What are the grand dynamics that drive the accumulation and distribution of capital? Questions about the long-term evolution of inequality, the concentration of wealth, and the prospects for economic growth lie at the heart of political economy. But satisfactory answers have been hard to find for lack of adequate data and clear guiding theories. In this work the author analyzes a unique collection of data from twenty countries, ranging as far back as the eighteenth century, to uncover key economic and social patterns. His findings transform debate and set the agenda for the next generation of thought about wealth and inequality. He shows that modern economic growth and the diffusion of knowledge have allowed us to avoid inequalities on the apocalyptic scale predicted by Karl Marx. But we have not modified the deep structures of capital and inequality as much as we thought in the optimistic decades following World War II. The main driver of inequality--the tendency of returns on capital to exceed the rate of economic growth--today threatens to generate extreme inequalities that stir discontent and undermine democratic values if political action is not taken. But economic trends are not acts of God. Political action has curbed dangerous inequalities in the past, the author says, and may do so again. This original work reorients our understanding of economic history and confronts us with sobering lessons for today.
The Twenty-First Century Stockbroker
Title | The Twenty-First Century Stockbroker PDF eBook |
Author | Daniel C. Montano |
Publisher | |
Pages | 164 |
Release | 1993-02 |
Genre | Business & Economics |
ISBN | 9781883020002 |
New Trading Dimensions
Title | New Trading Dimensions PDF eBook |
Author | Bill M. Williams |
Publisher | John Wiley & Sons |
Pages | 290 |
Release | 1998-10-06 |
Genre | Business & Economics |
ISBN | 9780471295419 |
Händler und erfahrene Privatanleger kommen immer mehr zu dem Schluß, daß die traditionellen Prognosemethoden der fundamentalen oder technischen Analyse offenbar zu widersprüchlichen Ergebnissen kommen. Bei den fundamentalen Analysten geht der Markt eher schwach, bei den technischen Analysten geht er fester. Die Folge von solch gegensätzlichen Signalen ist, daß viele Händler und Anleger sich auf eine Kombination von wissenschaftlicher Theorie und Anlagepsychologie stützen. Bill Williams zeigt hier neue Perspektiven der Marktbeobachtung auf. Er kombiniert Elemente traditioneller technischer Chartmethoden mit Chaostheorie und Psychologie. Das Ergebnis ist ein komplexes, fünfdimensionales Handelsprogramm mit ausführlichen Erläuterungen und Beispielen zu Bereichen wie Fraktalanalyse, Oszillatoren und psychologischen Aspekten. (10/98)
Market Analysis for the New Millennium
Title | Market Analysis for the New Millennium PDF eBook |
Author | Robert R. Prechter |
Publisher | New Classics Library |
Pages | 312 |
Release | 2017 |
Genre | Business & Economics |
ISBN | 9781616040833 |
Market Analysis for the New Millennium foreshadows sweeping changes in market analysis for the twenty-first century and beyond. Featuring ground-breaking essays by 12 authors, this book builds a compelling case and shows you the evidence that will change the way you view financial markets and market analysis.
Value Investing
Title | Value Investing PDF eBook |
Author | Bruce C. Greenwald |
Publisher | John Wiley & Sons |
Pages | 324 |
Release | 2004-01-26 |
Genre | Business & Economics |
ISBN | 9780471463399 |
From the "guru to Wall Street's gurus" comes the fundamental techniques of value investing and their applications Bruce Greenwald is one of the leading authorities on value investing. Some of the savviest people on Wall Street have taken his Columbia Business School executive education course on the subject. Now this dynamic and popular teacher, with some colleagues, reveals the fundamental principles of value investing, the one investment technique that has proven itself consistently over time. After covering general techniques of value investing, the book proceeds to illustrate their applications through profiles of Warren Buffett, Michael Price, Mario Gabellio, and other successful value investors. A number of case studies highlight the techniques in practice. Bruce C. N. Greenwald (New York, NY) is the Robert Heilbrunn Professor of Finance and Asset Management at Columbia University. Judd Kahn, PhD (New York, NY), is a member of Morningside Value Investors. Paul D. Sonkin (New York, NY) is the investment manager of the Hummingbird Value Fund. Michael van Biema (New York, NY) is an Assistant Professor at the Graduate School of Business, Columbia University.