Download or read book Predicting the Stock Market to Maximise Returns for the Small Investor written by Cicil Fonseka and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Investors in the stock market are always interested and looking for better methods of predicting the direction of stock price movements with a view to reduce the risk of investment and to improve on the capital gains. This research introduces two algorithms to achieve this objective and evaluate their power of prediction. These algorithms are then generalised to develop a new data mining methodology in the area of "pattern recognition" to identify extreme events in a time varying and real time data stream analysis. Further a software tool is specifically developed as part of this research to perform the constructed algorithms and analyse and evaluate the effectiveness of these methods in predicting stock market movements.

Download or read book Stock Market Probability written by Joseph E. Murphy and published by McGraw-Hill Companies. This book was released on 1994 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes how to use statistical techniques to manage risk and improve returns. By estimating the probability of various investment outcomes in advance, investors can make better-informed decisions. Joseph Murphy shows how statistical tools and techniques such as standard deviation, disper

Download or read book Predicting the Markets of Tomorrow written by James P. O'Shaughnessy and published by Penguin. This book was released on 2006-03-02 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unique and timely new wealth-building strategy from a legendary investment guru In his national bestsellers How to Retire Rich and What Works on Wall Street, portfolio manager extraordinaire James P. O’Shaughnessy offered investors practical advice based on rigorous quantitative analysis—advice that has consistently beaten the market. But in a recent analysis of market data, O’Shaughnessy uncovered some astonishing trends not discussed in his previous books. The Markets of Tomorrow explains O’Shaughnessy’s new research and tells ordinary investors what they must do now to revamp their portfolios. According to O’Shaughnessy, the year 2000 marked the end of a twenty-year cycle that was dominated by the stocks of larger, fastergrowing companies like those in the S&P 500. In the new cycle, the stocks of small and midsize companies are the ones that will outperform the market, along with large company value stocks and intermediate term bonds. O’Shaughnessy describes the number crunching behind his analysis and then shows individual investors exactly how to select the right mix of investments and pick top-performing small and midcap stocks. The Markets of Tomorrow is a loud and clear call to action for every investor who doesn’t want to be left behind.

Download or read book Stocks for the Long Run written by Jeremy J. Siegel and published by McGraw-Hill Companies. This book was released on 1998 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Siegel's conclusion - that, when long-term purchasing power is considered, stocks are actually safer than bank deposits! - is now strengthened with updated research findings and information that include a thorough analysis of the "Dow 10" and other yield-based strategies that have captivated investors over the past several years; how the Baby Boom generation will change the stock market forever - knowledge that can energize your own portfolio's performance; the amazing effect of the calendar on stock market performance - and how investing at certain times of the year can enhance performance; how the newest tax laws impact your investment returns and the funding of your retirement account; analyses and performance comparisons of highly publicized market sectors such as small cap stocks, growth stocks, and the "Nifty Fifty" stocks; and how Wall Street pros use investor sentiment and Fed policy to successfully time stock purchases over the investment cycle."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved

Download or read book Small Stocks for Big Profits written by George Angell and published by John Wiley & Sons. This book was released on 2008-10-14 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for SMALL STOCKS for BIG PROFITS "George has done it again with Small Stocks for Big Profits. His in-depth experience is invaluable in helping traders explore stocks that are $5 or less, without getting caught up in the fly-by-night idea companies that plague this investment level. He shows you where to look for opportunity and more importantly how to lock in profits in this little understood investment arena. Impressive!" —Noble DraKoln, author of Winning the Trading Game In Small Stocks for Big Profits, George Angell outlines an effective strategy for finding up-and-coming companies with the potential of earning you incredible returns. Filled with in-depth insights and practical advice, this reliable resource shows you how using a combination of technical and fundamental analysis-along with other essential tools-can put you in a position to profit from the explosive growth of smaller companies with undervalued, low-priced stocks. Page by page, you'll discover how to incorporate this proven approach into your own investment endeavors as Angell discusses how to use it to select, place, and exit trade after profitable trade. Small, speculative stocks are quickly beginning to appear on the radar screens of investors around the world. If you want to make the most of your time in this lucrative market, pick up Small Stocks for Big Profits today and put its invaluable insights to work for you.

Download or read book On Market Timing and Investment Performance Part II Statistical Procedures for Evaluating Forecasting Skills written by Roy Henriksson and published by . This book was released on 2023-07-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A New Science of Stock Market Investing written by Gerald Harris Rosen and published by Ballinger Publishing Company. This book was released on 1990 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes a new method for consistently achieving higher returns in bull markets and preserving capital investment in bear markets and how to screen, select and monitor individual stock issues.

Download or read book The Stock Market Is Predictable written by Francis Yee and published by Fhy Systems, LLC. This book was released on 2014-04-21 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Stock Market is Predictable: Exploit Proven Seasonal Patterns for Higher Returns details steps an investor can take in order to take advantage of predictable patterns. These patterns are proven by academic research through many published studies. Over one hundred years of historical data collected by the oldest and most trusted stock trading almanac support the fact that predictable seasonal patterns exist in the stock market. The book describes how to use four simple and easy-to-understand steps at two strategic periods in the calendar to profit from proven seasonal patterns when stock prices rise and when prices fall. By modifying a simple investing technique, positive returns from the stock market will be achieved 70-80% of the time over a sustained investing period. Learn the simple steps and when to use them to earn greater returns on your investments.

Download or read book Identifying Significant Variables that Drive the Stock Investment Market and Predict Future Stock Investment Returns Using the Data Science Approach written by Archana Raghu and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: For a company to become prosperous it must invest wisely such that it provides consistent greater returns over time. The stock investment returns prediction has been one of the major challenges in finance. Often the losses in stock investment that the companies face are due to bad decisions made in stock investments. Many investment decisions stemmed from a lack of proper understanding of the relationship between various variables that are necessary for predicting future stock returns. To make better decisions in stock investment, previous researchers have carried out extensive studies to model the stock market. Previous researchers conducted theoretical and empirical studies, and have used various data science techniques for analysis to understand the effect of variables. However, these research studies did not account for data cleaning and pre-processing procedures that lead to biased results. The major contribution of this study is to fill the gap that remains in understanding relationships between the various variables and to identify the most influential variables that best predict stock returns. The findings from this research will assist financial interpreters, individual investors, and academicians in making better decisions in investments and understanding stock market. This study examines the Stock-Investment Pro dataset from the year 2005-2011 and employs a factor analysis approach and grouped 45 variables into 13 factors. Further, a logistic regression model of 13 independent variables revealed EPS Estimation Revisions Up and Institutional Ownership as the most significant variables to predict stock returns.

Download or read book The Intelligent Investor s Guide to Profiting from Stock Market Inefficiencies written by D. Robert Coulson and published by Irwin Professional Publishing. This book was released on 1987 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Stock Market Prediction and Efficiency Analysis using Recurrent Neural Network written by Joish Bosco and published by GRIN Verlag. This book was released on 2018-09-18 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: Project Report from the year 2018 in the subject Computer Science - Technical Computer Science, , course: Computer Science, language: English, abstract: Modeling and Forecasting of the financial market have been an attractive topic to scholars and researchers from various academic fields. The financial market is an abstract concept where financial commodities such as stocks, bonds, and precious metals transactions happen between buyers and sellers. In the present scenario of the financial market world, especially in the stock market, forecasting the trend or the price of stocks using machine learning techniques and artificial neural networks are the most attractive issue to be investigated. As Giles explained, financial forecasting is an instance of signal processing problem which is difficult because of high noise, small sample size, non-stationary, and non-linearity. The noisy characteristics mean the incomplete information gap between past stock trading price and volume with a future price. The stock market is sensitive with the political and macroeconomic environment. However, these two kinds of information are too complex and unstable to gather. The above information that cannot be included in features are considered as noise. The sample size of financial data is determined by real-world transaction records. On one hand, a larger sample size refers a longer period of transaction records; on the other hand, large sample size increases the uncertainty of financial environment during the 2 sample period. In this project, we use stock data instead of daily data in order to reduce the probability of uncertain noise, and relatively increase the sample size within a certain period of time. By non-stationarity, one means that the distribution of stock data is various during time changing. Non-linearity implies that feature correlation of different individual stocks is various. Efficient Market Hypothesis was developed by Burton G. Malkiel in 1991.

Download or read book Stock price Prediction a referential approach on how to predict the stock price using simple time series written by Dr.N.Srinivasan and published by Clever Fox Publishing. This book was released on with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is about the various techniques involved in the stock price prediction. Even the people who are new to this book, after completion they can do stock trading individually with more profit.

Download or read book Portfolio Structuring and the Value of Forecasting written by Jacques Lussier and published by CFA Institute Research Foundation. This book was released on 2016-10-10 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book An R Companion to Applied Regression written by John Fox and published by SAGE Publications. This book was released on 2011 with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to provide a broad introduction to the R statistical environment in the context of applied regression analysis, which is typically studied by social scientists and others in a second course in applied statistics.

Download or read book Stock Market Behavior written by William P. Sargeant and published by . This book was released on 1957 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Internet Stock Trading and Market Research for the Small Investor written by Amy Steele and published by iUniverse. This book was released on 2012-06-22 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: Internet Stock Trading and Market Research for the Small Investor presents a fresh perspective on online trading that eliminates the prerequisite of technical charting, and simplifies the formulation of buying and selling positions down to a fundamental interpretation of corporate news that drives the market. The first part of the book introduces novice traders to basic market dynamics and terminologies, and exposes them to online trade regulations and web resources where market information can be accessed to formulate short-term daily trading positions. The investment strategies recommended in this book target the growing trend of online investors, including short-term and first-time traders who dont employ technical analysis as a trading compass. In the second part, Internet Stock Trading and Market Research for the Small Investor offers individual market researchers an alternative software tool to financial database subscriptions called SMART, which provides free access to discrete-time market data necessary for technical analysis. This combination of the trading and research aspects of the stock market leaves you with an encompassing introduction to the market dynamics, and to the sensible investment strategies that maximize profit from short-term positions in an environment of financial volatility.

Download or read book Regression Analysis by Example written by Samprit Chatterjee and published by John Wiley & Sons. This book was released on 2015-02-25 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the Fourth Edition: "This book is . . . an excellent source of examples for regression analysis. It has been and still is readily readable and understandable." —Journal of the American Statistical Association Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgment. Regression Analysis by Example, Fifth Edition has been expanded and thoroughly updated to reflect recent advances in the field. The emphasis continues to be on exploratory data analysis rather than statistical theory. The book offers in-depth treatment of regression diagnostics, transformation, multicollinearity, logistic regression, and robust regression. The book now includes a new chapter on the detection and correction of multicollinearity, while also showcasing the use of the discussed methods on newly added data sets from the fields of engineering, medicine, and business. The Fifth Edition also explores additional topics, including: Surrogate ridge regression Fitting nonlinear models Errors in variables ANOVA for designed experiments Methods of regression analysis are clearly demonstrated, and examples containing the types of irregularities commonly encountered in the real world are provided. Each example isolates one or two techniques and features detailed discussions, the required assumptions, and the evaluated success of each technique. Additionally, methods described throughout the book can be carried out with most of the currently available statistical software packages, such as the software package R. Regression Analysis by Example, Fifth Edition is suitable for anyone with an understanding of elementary statistics.