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Protect your retirement from the next big crash with a New Twist on the Old Investment Strategy. For years, advisors have recommended that investors take a "buy and hold" approach to the market, but people over fifty can't afford to rely on this strategy. Buy, Hold, & SELL! uncovers the myth of the "buy and hold" investment philosophy, and explains why it's dangerously incomplete. Written by Ken Moraif, one of Barron’s top 100 Financial Advisors in the United States three years a row and who called the 2008 market crash in November of 2007, this book outlines an alternative strategy that better serves investors who are at retirement age. Written in easy-to-understand language and buoyed by Ken's trademark humor, this guide shoots down the myths that keep investors in risky markets, and arms readers with the knowledge, motivation, and strategies that may help them survive-and even thrive-during the inevitable next bear market. Too many retirees lost a large percentage of their investments during the market collapse of 2008 and spent years trying to regain their footing. During the collapse, many advisors told their clients to stay in the market. Ken did the opposite, advising his clients and listeners of his popular radio show “Money Matters” to get out of the market in November of 2007-before the economic meltdown. With this book, Ken shares his 26 years of experience to help investors prepare for the imminent bear market that could devastate their retirement plans. For those looking to build a sound financial plan for the long run, this book provides expert insight and solid advice with supporting charts, graphs, statistics, and anecdotes. Understand the buy-hold-SELL strategy Learn how to design a sell strategy to protect principal in the next bear market Find clear-cut information regarding retirement finances Discover the benefits of a diversified portfolio This book expands upon old advice to provide the most important part of the equation: a sell strategy designed to protect principal. The goal of Buy, Hold, & SELL! is not to make investors rich quick, but to help keep them from becoming poor.
'Stock Investing for Everyone' richtet sich an die wachsende Zahl von Leuten, die ihre Geldanlage selbst in die Hand nehmen: Seriöse Anleger, die zwar die Technik des Aktienkaufs beherrschen, aber fortgeschrittene Analysemethoden erlernen möchten, damit sie mit möglichst geringem Zeitaufwand Aktienwerte analysieren können. Anders als die meisten anderen Autoren konzentriert sich Khan ausschließlich auf den Aktienmarkt. Er behandelt das Kursverhalten einzelner Aktien und den Gesamtmarkt anhand von schrittweisen Anleitungen, wie man mit Hilfe verschiedener Anlagestrategien Kurse überwacht, Werte bonitätsmäßig einstuft und schließlich bestimmte Aktien auswählt. Ursprünglich als zweibändiges Set herausgegeben, erscheint diese Neuauflage aktualisiert und komprimiert jetzt in einem einzigen handlichen Band. (10/99)
A market beating method for finding success in trading stocks Value is a concept that frequently eludes investors -- especially when it comes to stocks. In many cases, successfully identifying value can make the difference between picking a winner and getting burned. The Value Connection offers a systematic and doable method investors can use to take advantage of value in the stock market. Based on author Marc Gerstein's "Value Connection" method, this book will show investors how to find potentially attractive value connections, analyze specific situations to see if the value connection is sound, buy the best value connected opportunities, and sell stocks for which the value connection has weakened. The proven four-step method outlined -- which allows investors to understand the relationship between a company and its stock -- will help any investor screen the stock market for the best values out there. Real world examples make understanding this revolutionary investing method easy. Marc H. Gerstein (New York, NY) is the Director of Investment Research at Multex. Prior to that, he was in the research and editorial department at Value Line. Over the course of two decades he analyzed stocks across a wide variety of industries and sectors, including household products, specialty retail, restaurants, mining, energy, hotel/gaming, homebuilding, airlines, railroads, and media. Gerstein appears periodically on CNNfn, Bloomberg TV, and is often quoted in USA Today, CBS MarketWatch, The Wall Street Journal, The New York Daily News, and Money Online. He is also the author of Screening the Market (0-471-21559-7).
Seventy percent of all IT projects fail - and scores of books have attempted to help firms measure and manage IT systems and processes better in order to turn this figure around. In this book, IT experts Peter D. Weill and Jeanne W. Ross argue that the real reason IT fails to deliver value is that companies have no formal system in place for guiding and monitoring IT decisions. Their research shows that firms with explicit IT governance systems have twice the profit of firms with poor governance, given the same strategic objectives. Just as corporate governance systems aim to ensure quality decisions about corporate assets, the authors show, companies need IT governance systems to ensure that IT investments are made wisely and effectively. Based on a study of 250 enterprises worldwide, IT Governance shows how to design and implement a customized system of decision rights that will ensure that all employees invest in and use IT only in manners that achieve the company's strategic and financial goals. Practical and proven in practice, this book will help firms transform IT from an expense to a profitable investment.
Reputation Management is a how-to guide for professionals and students in public relations and corporate communication, as well as for CEOs and other leaders. It rests on the premise that reputation can be measured, monitored, and managed. Organized by corporate communication units (media relations, employee communication, government relations, and investor relations, for example), the book provides a field-tested guide to corporate reputation problems such as leaked memos, unfair treatment by the press, and negative rumors--and it is this rare book that focuses on practical solutions.
For the past ten years, Shares Made Simple has been the top choice of readers who want to know more about the stock market. Now in a fully revised and updated third edition, the book continues to tear away the mystique and jargon that surrounds the stock market. Written by highly respected financial journalist Rodney Hobson, it takes you step by step through the most basic concepts of stock market investing, carefully explaining issues such as: - what shares are and how they are bought and sold - why share prices go up and down - why some companies' shares look cheap while others appear to be expensive - the hidden traps for the unwary. This fully revised and updated third edition of this bestselling book sets out to create a level playing field between the stock market professionals and the small investor. No one needs to suffer pitiful bank interest rates when there is real money to be made in sharing the nation's wealth. Tens of thousands of investors have already benefited from Rodney's clear explanation of the stock market - now you can too.
The three-volume set LNAI 7196, LNAI 7197 and LNAI 7198 constitutes the refereed proceedings of the 4th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2012, held in Kaohsiung, Taiwan in March 2012. The 161 revised papers presented were carefully reviewed and selected from more than 472 submissions. The papers included cover the following topics: intelligent database systems, data warehouses and data mining, natural language processing and computational linguistics, semantic Web, social networks and recommendation systems, collaborative systems and applications, e-bussiness and e-commerce systems, e-learning systems, information modeling and requirements engineering, information retrieval systems, intelligent agents and multi-agent systems, intelligent information systems, intelligent internet systems, intelligent optimization techniques, object-relational DBMS, ontologies and knowledge sharing, semi-structured and XML database systems, unified modeling language and unified processes, Web services and semantic Web, computer networks and communication systems.
Behavioural Finance builds on the knowledge and skills that students have already gained on an introductory finance or corporate finance course. The primary focus of the book is on how behavioural approaches extend what students already know. At each stage the theory is developed by application to the FTSE 100 companies and their valuation and strategy. This approach helps the reader understand how behavioural models can be applied to everyday problems faced by practitioners at both a market and individual company level. The book develops simple formal expositions of existing attempts to model the impact of behavioural bias on investor/managers' decisions. Where possible this is done grounding the discussion in practical, numerical, examples from the financial press and business life.
Recent years have seen the widespread application of Natural Computing algorithms (broadly defined in this context as computer algorithms whose design draws inspiration from phenomena in the natural world) for the purposes of financial modelling and optimisation. A related stream of work has also seen the application of learning mechanisms drawn from Natural Computing algorithms for the purposes of agent-based modelling in finance and economics. In this book we have collected a series of chapters which illustrate these two faces of Natural Computing. The first part of the book illustrates how algorithms inspired by the natural world can be used as problem solvers to uncover and optimise financial models. The second part of the book examines a number agent-based simulations of financial systems. This book follows on from Natural Computing in Computational Finance (Volume 100 in Springer’s Studies in Computational Intelligence series) which in turn arose from the success of EvoFIN 2007, the very first European Workshop on Evolutionary Computation in Finance & Economics held in Valencia, Spain in April 2007.