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How To Predict Share Price Variation
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Book Synopsis How To Predict Share Price Variation by : Johnny Ch Lok
Download or read book How To Predict Share Price Variation written by Johnny Ch Lok and published by . This book was released on 2019-12-07 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Investing has a set of four basic elements that investors use to break down a stock's value. In this article, we will look at four commonly used ratios and what they can tell you about a stock. Financial ratios are powerful tools to help summarize financial statements and the health of a company or enterprise. -Financial statements can be used by analysts and investors to compute financial ratios that indicate the health or value of a company and its shares.-P/E, P/B, PEG and dividend yields are four commonly used metrics that can help break down a stock's value and outlook.-Any single ratio is too narrowly focused to stand alone, so combining these and other financial ratios gives a more complete picture. (1) The Price-to-Book Ratio (P/B) Made for glass-half-empty people, the price-to-book (P/B) ratio represents the value of the company if it is torn up and sold today. This is useful to know because many companies in mature industries falter in terms of growth, but can still be a good value based on their assets. The book value usually includes equipment, buildings, land and anything else that can be sold, including stock holdings and bonds. With financial firms, the book value can fluctuate with the market as these stocks tend to have a portfolio of assets that goes up and down in value. Industrial companies tend to have a book value based more in physical assets, which depreciate year over year according to accounting rules. In either case, a low P/B ratio can protect you - but only if it's accurate. This means an investor has to look deeper into the actual assets making up the ratio. (2)Price-to-Earnings Ratio (P/E) The price to earnings (P/E) ratio is possibly the most accurate of all the ratios. If sudden increases in a stock's price, then the P/E ratio is the steak. A stock can go up in value without significant earnings increases, but the P/E ratio is what decides if it can stay up. Without earnings to back up the price, a stock will eventually fall back down. The reason for this is simple: A P/E ratio can be thought of as how long a stock will take to pay back your investment if there is no change in the business. A stock trading at $10 per share with earnings of $5 per share has a P/E ratio of 2, which is sometimes seen as meaning that you'll make your money back in long years if nothing changes. The reason stocks tend to have high P/E ratios is that investors try to predict which stocks will enjoy progressively larger earnings. An investor may buy a stock with a P/E ratio of 30 if he or she thinks it will double its earnings every year (shortening the payoff period significantly). If this fails to happen, the stock will fall back down to a more reasonable P/E ratio. If the stock does manage to double earnings, then it will likely continue to trade at a high P/E ratio. (3) The PEG Ratio Because the P/E ratio isn't enough in and of itself, many investors use the price to earnings growth (PEG) ratio. Instead of merely looking at the price and earnings, the PEG ratio incorporates the historical growth rate of the company's earnings. This ratio also tells you how your stock stacks up against another stock. The PEG ratio is calculated by taking the P/E ratio of a company and dividing it by the year-over-year growth rate of its earnings. The lower the value of your PEG ratio, the better the deal you're getting for the stock's future estimated earnings.
Book Synopsis Stock price Prediction a referential approach on how to predict the stock price using simple time series... by : Dr.N.Srinivasan
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.
Book Synopsis Statistics for the Trading Floor by : Patrick Boyle
Download or read book Statistics for the Trading Floor written by Patrick Boyle and published by . This book was released on 2020-05-14 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics for the Trading Floor: Data Science for Investing is the best book on statistics for investing. Written for professionals by a professional trader and hedge fund manager, the book gives a thorough grounding in quantitative methods used by investing professionals.
Book Synopsis Stock Market Probability by : Joseph E. Murphy
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
Book Synopsis The Nature of Statistical Learning Theory by : Vladimir Vapnik
Download or read book The Nature of Statistical Learning Theory written by Vladimir Vapnik and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to discuss the fundamental ideas which lie behind the statistical theory of learning and generalization. It considers learning as a general problem of function estimation based on empirical data. Omitting proofs and technical details, the author concentrates on discussing the main results of learning theory and their connections to fundamental problems in statistics. This second edition contains three new chapters devoted to further development of the learning theory and SVM techniques. Written in a readable and concise style, the book is intended for statisticians, mathematicians, physicists, and computer scientists.
Book Synopsis 2019 IEEE Fifth International Conference on Big Data Computing Service and Applications (BigDataService) by : IEEE Staff
Download or read book 2019 IEEE Fifth International Conference on Big Data Computing Service and Applications (BigDataService) written by IEEE Staff and published by . This book was released on 2019-04-04 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Its major objectives include big data applications in various domains such as healthcare, business and financing, education and learning, social networks and media, urban and environment, sensors and Internet of things as well as technology aspects of big data computing and services such as computing services and architecture, modeling, data mining and analytics
Book Synopsis A Random Walk Down Wall Street: The Time-Tested Strategy for Successful Investing (Ninth Edition) by : Burton G. Malkiel
Download or read book A Random Walk Down Wall Street: The Time-Tested Strategy for Successful Investing (Ninth Edition) written by Burton G. Malkiel and published by W. W. Norton & Company. This book was released on 2007-12-17 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis 2020 International Conference for Emerging Technology (INCET) by : IEEE Staff
Download or read book 2020 International Conference for Emerging Technology (INCET) written by IEEE Staff and published by . This book was released on 2020-06-05 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Original contributions from researchers describing their unpublished research contribution which is not currently under review by another conference or journal and addressing state of the art research are invited to share their work in all areas of Data Science, Machine Learning and its applications but are not limited to Ubiquitous Intelligence and Computing Web Intelligence and Computing Swarm Intelligence Mobile Computing Sensor Networks and Social Sensing Wireless Mesh Networks Wireless Networks Management Wireless Protocols and Architectures Multi Agent Systems Human Computer Interaction Data Mining and Knowledge Discovery Knowledge Management and Networks Data Intensive Computing Architecture Intelligent E Learning Systems Smart Environments and Applications Genetic Algorithms Evolutionary Computation Soft Computing Machine Learning Neural Networks Pattern Recognition Intelligent Control
Book Synopsis Deep Learning for Time Series Forecasting by : Jason Brownlee
Download or read book Deep Learning for Time Series Forecasting written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2018-08-30 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning methods offer a lot of promise for time series forecasting, such as the automatic learning of temporal dependence and the automatic handling of temporal structures like trends and seasonality. With clear explanations, standard Python libraries, and step-by-step tutorial lessons you’ll discover how to develop deep learning models for your own time series forecasting projects.
Book Synopsis Monetizing Machine Learning by : Manuel Amunategui
Download or read book Monetizing Machine Learning written by Manuel Amunategui and published by Apress. This book was released on 2018-09-12 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this book—Amazon, Microsoft, Google, and PythonAnywhere. You will work through a series of common Python data science problems in an increasing order of complexity. The practical projects presented in this book are simple, clear, and can be used as templates to jump-start many other types of projects. You will learn to create a web application around numerical or categorical predictions, understand the analysis of text, create powerful and interactive presentations, serve restricted access to data, and leverage web plugins to accept credit card payments and donations. You will get your projects into the hands of the world in no time. Each chapter follows three steps: modeling the right way, designing and developing a local web application, and deploying onto a popular and reliable serverless cloud provider. You can easily jump to or skip particular topics in the book. You also will have access to Jupyter notebooks and code repositories for complete versions of the code covered in the book. What You’ll Learn Extend your machine learning models using simple techniques to create compelling and interactive web dashboards Leverage the Flask web framework for rapid prototyping of your Python models and ideasCreate dynamic content powered by regression coefficients, logistic regressions, gradient boosting machines, Bayesian classifications, and more Harness the power of TensorFlow by exporting saved models into web applications Create rich web dashboards to handle complex real-time user input with JavaScript and Ajax to yield interactive and tailored contentCreate dashboards with paywalls to offer subscription-based accessAccess API data such as Google Maps, OpenWeather, etc.Apply different approaches to make sense of text data and return customized intelligence Build an intuitive and useful recommendation site to add value to users and entice them to keep coming back Utilize the freemium offerings of Google Analytics and analyze the results Take your ideas all the way to your customer's plate using the top serverless cloud providers Who This Book Is For Those with some programming experience with Python, code editing, and access to an interpreter in working order. The book is geared toward entrepreneurs who want to get their ideas onto the web without breaking the bank, small companies without an IT staff, students wanting exposure and training, and for all data science professionals ready to take things to the next level.
Book Synopsis Afro-European Conference for Industrial Advancement by : Ajith Abraham
Download or read book Afro-European Conference for Industrial Advancement written by Ajith Abraham and published by Springer. This book was released on 2014-12-04 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains accepted papers presented at AECIA2014, the First International Afro-European Conference for Industrial Advancement. The aim of AECIA was to bring together the foremost experts as well as excellent young researchers from Africa, Europe, and the rest of the world to disseminate latest results from various fields of engineering, information, and communication technologies. The first edition of AECIA was organized jointly by Addis Ababa Institute of Technology, Addis Ababa University, and VSB - Technical University of Ostrava, Czech Republic and took place in Ethiopia's capital, Addis Ababa.
Book Synopsis Quantitative Trading by : Ernie Chan
Download or read book Quantitative Trading written by Ernie Chan and published by Wiley. This book was released on 2008-11-17 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: While institutional traders continue to implement quantitative (or algorithmic) trading, many independent traders have wondered if they can still challenge powerful industry professionals at their own game? The answer is "yes," and in Quantitative Trading, Dr. Ernest Chan, a respected independent trader and consultant, will show you how. Whether you're an independent "retail" trader looking to start your own quantitative trading business or an individual who aspires to work as a quantitative trader at a major financial institution, this practical guide contains the information you need to succeed.
Book Synopsis Profit Magic of Stock Transaction Timing by : J. M. Hurst
Download or read book Profit Magic of Stock Transaction Timing written by J. M. Hurst and published by Wasendorf & Associates Incorporated. This book was released on 2000-03-01 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Technical Analysis of the Financial Markets by : John J. Murphy
Download or read book Technical Analysis of the Financial Markets written by John J. Murphy and published by Penguin. This book was released on 1999-01-01 with total page 576 pages. Available in PDF, EPUB and Kindle. Book excerpt: John J. Murphy has now updated his landmark bestseller Technical Analysis of the Futures Markets, to include all of the financial markets. This outstanding reference has already taught thousands of traders the concepts of technical analysis and their application in the futures and stock markets. Covering the latest developments in computer technology, technical tools, and indicators, the second edition features new material on candlestick charting, intermarket relationships, stocks and stock rotation, plus state-of-the-art examples and figures. From how to read charts to understanding indicators and the crucial role technical analysis plays in investing, readers gain a thorough and accessible overview of the field of technical analysis, with a special emphasis on futures markets. Revised and expanded for the demands of today's financial world, this book is essential reading for anyone interested in tracking and analyzing market behavior.
Book Synopsis Valuation Challenges and Solutions in Contemporary Businesses by : Köseo?lu, Sinem Derindere
Download or read book Valuation Challenges and Solutions in Contemporary Businesses written by Köseo?lu, Sinem Derindere and published by IGI Global. This book was released on 2019-11-29 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Defining the value of an entire company can be challenging, especially for large, highly competitive business markets. While the main goal for many companies is to increase their market value, understanding the advanced techniques and determining the best course of action to maximize profits can puzzle both academic and business professionals alike. Valuation Challenges and Solutions in Contemporary Businesses provides emerging research exploring theoretical and practical aspects of income-based, market-based, and asset-based valuation approaches and applications within the financial sciences. Featuring coverage on a broad range of topics such as growth rate, diverse business, and market value, this book is ideally designed for financial officers, business professionals, company managers, CEOs, corporate professionals, academicians, researchers, and students seeking current research on the challenging aspects of firm valuation and an assortment of possible solution-driven concepts.
Book Synopsis Stock Market Prediction by : Donald A. Bradley
Download or read book Stock Market Prediction written by Donald A. Bradley and published by . This book was released on 1948 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Limit Theorems in Change-Point Analysis by : Miklós Csörgö
Download or read book Limit Theorems in Change-Point Analysis written by Miklós Csörgö and published by John Wiley & Sons. This book was released on 1997-12-29 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: Change-point problems arise in a variety of experimental and mathematical sciences, as well as in engineering and health sciences. This rigorously researched text provides a comprehensive review of recent probabilistic methods for detecting various types of possible changes in the distribution of chronologically ordered observations. Further developing the already well-established theory of weighted approximations and weak convergence, the authors provide a thorough survey of parametric and non-parametric methods, regression and time series models together with sequential methods. All but the most basic models are carefully developed with detailed proofs, and illustrated by using a number of data sets. Contains a thorough survey of: The Likelihood Approach Non-Parametric Methods Linear Models Dependent Observations This book is undoubtedly of interest to all probabilists and statisticians, experimental and health scientists, engineers, and essential for those working on quality control and surveillance problems. Foreword by David Kendall
