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Winner of the 2009 Critics Choice Book Award of the American Educational Studies Association (AESA) Through careful ethnographic research, Market Movements represents community leaders, school officials, and most importantly, African American working class families who have used vouchers as a means of removing their children from public schools they deemed unacceptable. The book works to discern the overlaps and tensions between the educational visions of African American voucher families and those of powerful conservative educational forces in U.S. society which purport to be allied with them. To the extent that there are points of divergence with the educational right, and points of convergence with educational progressives, this book provides a hopeful message and a practical vision. It seeks to accomplish some of the critical empirical and conceptual groundwork that is necessary in order to renew the increasingly fractious relations between those social actors—teachers, communities of color, critical researchers, and labor unions—most likely to defend and expand previous social democratic victories.
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Arms traders and sophisticated individual investors with the tools they need to play the markets successfully Many traders believe that they must perform at least one trade every day, no matter what. However, as expert Price Headley clearly demonstrates in this groundbreaking book, not only is that assumption false, it can also be dangerous. He shows why focusing too narrowly on the daily ebb and flow of the markets minimizes a trader's chances for the big returns. He explains why maximum results are achieved by identifying the big market trends and riding them for all their worth. Headley explores the major market indicators-including the popular CBOE Volatility Index, Nasdaq 100, Rydex Mutual Fund Flows, and Equity Put/Call Ratio-and shows readers how to use them to identify the stocks that are about to take off. Emphasizing the aggressive use of options, he also empowers investors with stock selection techniques and options strategies that work in virtually every type of market.
Updated with a new chapter that draws on behavioral finance, the field that studies the psychology of investment decisions, the bestselling guide to investing evaluates the full range of financial opportunities.
DEEP LEARNING TOOLS for PREDICTING STOCK MARKET MOVEMENTS The book provides a comprehensive overview of current research and developments in the field of deep learning models for stock market forecasting in the developed and developing worlds. The book delves into the realm of deep learning and embraces the challenges, opportunities, and transformation of stock market analysis. Deep learning helps foresee market trends with increased accuracy. With advancements in deep learning, new opportunities in styles, tools, and techniques evolve and embrace data-driven insights with theories and practical applications. Learn about designing, training, and applying predictive models with rigorous attention to detail. This book offers critical thinking skills and the cultivation of discerning approaches to market analysis. The book: details the development of an ensemble model for stock market prediction, combining long short-term memory and autoregressive integrated moving average; explains the rapid expansion of quantum computing technologies in financial systems; provides an overview of deep learning techniques for forecasting stock market trends and examines their effectiveness across different time frames and market conditions; explores applications and implications of various models for causality, volatility, and co-integration in stock markets, offering insights to investors and policymakers. Audience The book has a wide audience of researchers in financial technology, financial software engineering, artificial intelligence, professional market investors, investment institutions, and asset management companies.
The book titled "Prediction of Stock Market Index Movements with Machine Learning" focuses on the performance of machine learning methods in forecasting the future movements of stock market indexes and identifying the most advantageous methods that can be used across different stock exchanges. In this context, applications have been conducted on both developed and emerging market stock exchanges. The stock market indexes of developed countries such as NYSE 100, NIKKEI 225, FTSE 100, CAC 40, DAX 30, FTSE MIB, TSX; and the stock market indexes of emerging countries such as SSE, BOVESPA, RTS, NIFTY 50, IDX, IPC, and BIST 100 were selected. The movement directions of these stock market indexes were predicted using decision trees, random forests, k-nearest neighbors, naive Bayes, logistic regression, support vector machines, and artificial neural networks methods. Daily dataset from 01.01.2012 to 31.12.2021, along with technical indicators, were used as input data for analysis. According to the results obtained, it was determined that artificial neural networks were the most effective method during the examined period. Alongside artificial neural networks, logistic regression and support vector machines methods were found to predict the movement direction of all indexes with an accuracy of over 70%. Additionally, it was noted that while artificial neural networks were identified as the best method, they did not necessarily achieve the highest accuracy for all indexes. In this context, it was established that the performance of the examined methods varied among countries and indexes but did not differ based on the development levels of the countries. As a conclusion, artificial neural networks, logistic regression, and support vector machines methods are recommended as the most advantageous approaches for predicting stock market index movements.
A timely guide to making the best investment strategies even better A wide variety of strategies have been identified over the years, which purportedly outperform the stock market. Some of these include buying undervalued stocks while others rely on technical analysis techniques. It's fair to say no one method is fool proof and most go through both up and down periods. The challenge for an investor is picking the right method at the right time. The Little Book of Stock Market Profits shows you how to achieve this elusive goal and make the most of your time in today's markets. Written by Mitch Zacks, Senior Portfolio Manager of Zacks Investment Management, this latest title in the Little Book series reveals stock market strategies that really work and then shows you how they can be made even better. It skillfully highlights earnings-based investing strategies, the hallmark of the Zacks process, but it also identifies strategies based on valuations, seasonal patterns and price momentum. Specifically, the book: Identifies stock market investment strategies that work, those that don't, and what it takes for an individual investor to truly succeed in today's dynamic market Discusses how the performance of each strategy examined can be improved by combining into them into a multifactor approach Gives investors a clear path to integrating the best investment strategies of all time into their own personal portfolio Investing can be difficult, but with the right strategies you can improve your overall performance. The Little book of Stock Market Profits will show you how.
As stock prices and investor confidence have collapsed in the wake of Enron, WorldCom, and the dot-com crash, people want to know how this happened and how to make sense of the uncertain times to come. Into the breach comes one of Wall Street's legendary investors, Leon Levy, to explain why the market so often confounds us, and why those who ought to understand it tend to get chewed up and spat out. Levy, who pioneered many of the innovations and investment instruments that we now take for granted, has prospered in every market for the past fifty years, particularly in today's bear market. In The Mind of Wall Street he recounts stories of his successes and failures to illustrate how investor psychology and willful self-deception so often play critical roles in the process. Like his peers George Soros and Warren Buffett, Levy takes a long and broad view of the rhythms of the markets and the economy. He also offers a provocative analysis of the spectacular Internet bubble, showing that the market has not yet completely recovered from its bout of "irrational exuberance." The Mind of Wall Street is essential reading for all of us, whether we are active traders or simply modest contributors to our 401(k) plans, as volatile and unnerving markets come to define so much of our net worth.
This account of the sophisticated financial hub that was 17th-century Amsterdam “does a fine job of bringing history to life” (Library Journal). The launch of the Dutch East India Company in 1602 initiated Amsterdam’s transformation from a regional market town into a dominant financial center. The Company introduced easily transferable shares, and within days buyers had begun to trade them. Soon the public was engaging in a variety of complex transactions, including forwards, futures, options, and bear raids, and by 1680 the techniques deployed in the Amsterdam market were as sophisticated as any we practice today. Lodewijk Petram’s award-winning history demystifies financial instruments by linking today’s products to yesterday’s innovations, tying the market’s operation to the behavior of individuals and the workings of the world around them. Traveling back in time, Petram visits the harbor and other places where merchants met to strike deals. He bears witness to the goings-on at a notary’s office and sits in on the consequential proceedings of a courtroom. He describes in detail the main players, investors, shady characters, speculators, and domestic servants and other ordinary folk, who all played a role in the development of the market and its crises. His history clarifies concerns that investors still struggle with today—such as fraud, the value of information, trust and the place of honor, managing diverging expectations, and balancing risk—and does so in a way that is vivid, relatable, and critical to understanding our contemporary world.
Central banks have a profound impact on financial markets, and investors struggle to keep informed about their complex policy decisions. Technological and financial developments have transformed the US Federal Reserve Bank from a financial black box into a vocal, increasingly transparent institution—and the result is such a wealth of textual data that clues to future policy decisions may be lost among the details. This book presents a solution to this problem by keeping track of those details. Schnidman and MacMillan demonstrate how the latest advances in automated text analysis, combined with the precision of domain expertise, are the keys to understanding how central banks move markets with their words. The authors outline a method to not only examine every piece of every central bank communication, but to do it in a way that is completely comprehensive and unbiased while quickly yielding hard, quantitative data that can be put to work in modern financial models.