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Author: Thomas E. Berghage
Publisher: Xlibris Corporation
ISBN: 1499049072
Category : Business & Economics
Languages : en
Pages : 240
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Book Description
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
Author: Thomas E. Berghage
Publisher: Xlibris Corporation
ISBN: 1499049072
Category : Business & Economics
Languages : en
Pages : 240
Get Book Here
Book Description
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
Author: Thomas Piketty
Publisher: Harvard University Press
ISBN: 0674979850
Category : Business & Economics
Languages : en
Pages : 817
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Book Description
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.
Author: Chappell Lawson
Publisher: MIT Press
ISBN: 0262361337
Category : Political Science
Languages : en
Pages : 401
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Book Description
Drawing on two decades of government efforts to "secure the homeland," experts offer crucial strategic lessons and detailed recommendations for homeland security. For Americans, the terrorist attacks of September 11, 2001, crystallized the notion of homeland security. But what does it mean to "secure the homeland" in the twenty-first century? What lessons can be drawn from the first two decades of U.S. government efforts to do so? In Beyond 9/11, leading academic experts and former senior government officials address the most salient challenges of homeland security today.
Author: Burton Richter
Publisher: Kris Nia
ISBN:
Category : Climatic changes
Languages : en
Pages : 244
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Book Description
Global climate change is one of the most important issues humanity faces today. This updated, second edition assesses the sensible, senseless and biased proposals for averting the potentially disastrous consequences of global warming, allowing the reader to draw their own conclusions on switching to more sustainable energy provision. Burton Richter is a Nobel Prize-winning scientist who has served on many US and international review committees on climate change and energy issues. He provides a concise overview of our knowledge and uncertainties within climate change science, discusses current energy demand and supply patterns, and the energy options available to cut emissions of greenhouse gases. Written in non-technical language, this book presents a balanced view of options for moving from our heavy reliance on fossil fuels into a much more sustainable energy system, and is accessible to a wide range of readers without scientific backgrounds - students, policymakers and the concerned citizen.
Author: Ryan Trost
Publisher: Pearson Education
ISBN: 0321591887
Category : Computers
Languages : en
Pages : 796
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Book Description
“Practical Intrusion Analysis provides a solid fundamental overview of the art and science of intrusion analysis.” –Nate Miller, Cofounder, Stratum Security The Only Definitive Guide to New State-of-the-Art Techniques in Intrusion Detection and Prevention Recently, powerful innovations in intrusion detection and prevention have evolved in response to emerging threats and changing business environments. However, security practitioners have found little reliable, usable information about these new IDS/IPS technologies. In Practical Intrusion Analysis, one of the field’s leading experts brings together these innovations for the first time and demonstrates how they can be used to analyze attacks, mitigate damage, and track attackers. Ryan Trost reviews the fundamental techniques and business drivers of intrusion detection and prevention by analyzing today’s new vulnerabilities and attack vectors. Next, he presents complete explanations of powerful new IDS/IPS methodologies based on Network Behavioral Analysis (NBA), data visualization, geospatial analysis, and more. Writing for security practitioners and managers at all experience levels, Trost introduces new solutions for virtually every environment. Coverage includes Assessing the strengths and limitations of mainstream monitoring tools and IDS technologies Using Attack Graphs to map paths of network vulnerability and becoming more proactive about preventing intrusions Analyzing network behavior to immediately detect polymorphic worms, zero-day exploits, and botnet DoS attacks Understanding the theory, advantages, and disadvantages of the latest Web Application Firewalls Implementing IDS/IPS systems that protect wireless data traffic Enhancing your intrusion detection efforts by converging with physical security defenses Identifying attackers’ “geographical fingerprints” and using that information to respond more effectively Visualizing data traffic to identify suspicious patterns more quickly Revisiting intrusion detection ROI in light of new threats, compliance risks, and technical alternatives Includes contributions from these leading network security experts: Jeff Forristal, a.k.a. Rain Forest Puppy, senior security professional and creator of libwhisker Seth Fogie, CEO, Airscanner USA; leading-edge mobile security researcher; coauthor of Security Warrior Dr. Sushil Jajodia, Director, Center for Secure Information Systems; founding Editor-in-Chief, Journal of Computer Security Dr. Steven Noel, Associate Director and Senior Research Scientist, Center for Secure Information Systems, George Mason University Alex Kirk, Member, Sourcefire Vulnerability Research Team
Author: Bill M. Williams
Publisher: John Wiley & Sons
ISBN: 9780471295419
Category : Business & Economics
Languages : en
Pages : 290
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Book Description
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)
Author: William Burckart
Publisher: Berrett-Koehler Publishers
ISBN: 1523091096
Category : Business & Economics
Languages : en
Pages : 154
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Book Description
How institutions and individuals can address complex social, financial, and environmental problems on a systemic level—and invest in a more secure future. Investment today has evolved from the basic, conventional approach of the past. Investors have come to recognize the importance of sustainable investment and are more frequently considering environmental and social factors in their decisions. Yet the complexity of the times forces us to recognize and transition to a third stage of investment practice: system-level investing. In this paradigm-shifting book, William Burckart and Steve Lydenberg show how system-level investors support and enhance the health and stability of the social, financial, and environmental systems on which they depend for long-term returns. They preserve and strengthen these fundamental systems while still generating competitive or otherwise acceptable performance. This book is for those investors who believe in that transition. They may be institutions, large or small, concerned about the long-term stability of the environment and society. They may be individual investors who want their children and grandchildren to inherit a just and sustainable world. Whoever they may be, Burckart and Lydenberg show them the what, why, and how of system-level investment in this book: what it means to manage system-level risks and rewards, why it is imperative to do so now, and how to integrate this new way of thinking into their current practice. “Burckart and Lydenberg are the Wayne Gretzkys of investing: Showing us not where investing is, but where it’s going.” —Jon Lukomnik, Managing Partner, Sinclair Capital; Senior Fellow, High Meadows Institute
Author: Naomi Roht-Arriaza
Publisher: Cambridge University Press
ISBN: 1139458655
Category : Social Science
Languages : en
Pages : 317
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Book Description
Dealing with the aftermath of civil conflict or the fall of a repressive government continues to trouble countries throughout the world. Whereas much of the 1990s was occupied with debates concerning the relative merits of criminal prosecutions and truth commissions, by the end of the decade a consensus emerged that this either/or approach was inappropriate and unnecessary. A second generation of transitional justice experiences have stressed both truth and justice and recognize that a single method may inadequately serve societies rebuilding after conflict or dictatorship. Based on studies in ten countries, this book analyzes how some combine multiple institutions, others experiment with community-level initiatives that draw on traditional law and culture, whilst others combine internal actions with transnational or international ones. The authors argue that transitional justice efforts must also consider the challenges to legitimacy and local ownership emerging after external military intervention or occupation.
Author: Jeanne E. Arnold
Publisher: Cotsen Institute of Archaeology Press
ISBN: 1938770900
Category : Social Science
Languages : en
Pages : 181
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Book Description
Winner of the 2014 John Collier Jr. Award Winner of the Jo Anne Stolaroff Cotsen Prize Life at Home in the Twenty-First Century cross-cuts the ranks of important books on social history, consumerism, contemporary culture, the meaning of material culture, domestic architecture, and household ethnoarchaeology. It is a distant cousin of Material World and Hungry Planet in content and style, but represents a blend of rigorous science and photography that these books can claim. Using archaeological approaches to human material culture, this volume offers unprecedented access to the middle-class American home through the kaleidoscopic lens of no-limits photography and many kinds of never-before acquired data about how people actually live their lives at home. Based on a rigorous, nine-year project at UCLA, this book has appeal not only to scientists but also to all people who share intense curiosity about what goes on at home in their neighborhoods. Many who read the book will see their own lives mirrored in these pages and can reflect on how other people cope with their mountains of possessions and other daily challenges. Readers abroad will be equally fascinated by the contrasts between their own kinds of materialism and the typical American experience. The book will interest a range of designers, builders, and architects as well as scholars and students who research various facets of U.S. and global consumerism, cultural history, and economic history.
Author: James A. Bellanca
Publisher: Solution Tree Press
ISBN: 1936763362
Category : Education
Languages : en
Pages : 323
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Book Description
Education authorities from around the globe explore deeper learning, a process that promotes higher-order thinking, reasoning, and problem solving to better educate students and prepare them for college and careers. Relying on research as well as their own experience, the authors show how to use intensive curriculum, instruction, assessment, and leadership practices to meet the needs of 21st century learners.
