Download or read book Predicting Stock Returns in an Efficient Market written by Chee Ram Yong and published by . This book was released on 1992 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Value of Social Media for Predicting Stock Returns written by Michael Nofer and published by Springer. This book was released on 2015-04-21 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: Michael Nofer examines whether and to what extent Social Media can be used to predict stock returns. Market-relevant information is available on various platforms on the Internet, which largely consist of user generated content. For instance, emotions can be extracted in order to identify the investors' risk appetite and in turn the willingness to invest in stocks. Discussion forums also provide an opportunity to identify opinions on certain companies. Taking Social Media platforms as examples, the author examines the forecasting quality of user generated content on the Internet.
Download or read book Complex Systems in Finance and Econometrics written by Robert A. Meyers and published by Springer Science & Business Media. This book was released on 2010-11-03 with total page 919 pages. Available in PDF, EPUB and Kindle. Book excerpt: Finance, Econometrics and System Dynamics presents an overview of the concepts and tools for analyzing complex systems in a wide range of fields. The text integrates complexity with deterministic equations and concepts from real world examples, and appeals to a broad audience.
Download or read book Machine Learning in Predicting Stock Returns written by Truong Ngo Xuan and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite the efficient market hypothesis, investors are always looking for a method to predict stock price movement. In this paper, several forecasting models were developed using machine learning algorithms and a set of fundamental and macro indicators. Although the predictability was moderate, it showed promising potential for the use of machine learning in stock selection. A number of strategies based on the forecast were constructed and benchmarked against the market portfolio. The constructed portfolios had a tendency to outperform the market during a short period of low volatility but struggled in a highly volatile market.
Download or read book The Predictability of Stock Returns written by Zhong-guo Zhou and published by . This book was released on 1993 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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 Stock Return Predictability written by Arthur Ritter and published by GRIN Verlag. This book was released on 2015-05-27 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research Paper (postgraduate) from the year 2015 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: 17 (1,3), University of St Andrews (School of Management), course: Investment and Portfolio Management, language: English, abstract: Empirical evidence of stock return predictability obtained by financial ratios or macroeconomic factors has received substantial attention and remains a controversial topic to date. This is no surprise given that the existence of return predictability is not only of interest to practitioners but also introduces severe implications for financial models of risk and return. Founded on the assumption of efficient capital markets, research on capital asset pricing models has instigated this emergence of stock return predictability factors. Analysing these factors categorically, this paper will provide a balanced discussion of advocates as well as sceptics of stock return predictability. This essay will commence by firstly outlining the fundamental assumptions of an efficient capital market and its implications for return predictability. Subsequently, a thorough focus will be placed on the most significant predictability factors, including fundamental financial ratios and macroeconomic indicators as well as the validity of sampling methods used to attain return forecasts. Lastly this essay will reflect on the findings while proposing areas of further research.
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 The World of Economics written by John Eatwell and published by Springer. This book was released on 1991-05-13 with total page 766 pages. Available in PDF, EPUB and Kindle. Book excerpt: What are the central questions of economics and how do economists tackle them? This book aims to answer these questions in 100 essays, written by economists and selected from "The New Palgrave: A Dictionary of Economics". It shows how economists deal with issues ranging from trade to taxation.
Download or read book The Efficient Market Hypothesis and Its Application to Stock Markets written by Sebastian Harder and published by GRIN Verlag. This book was released on 2010-11 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research Paper (undergraduate) from the year 2008 in the subject Business economics - Investment and Finance, grade: 1.7, The FOM University of Applied Sciences, Hamburg, language: English, abstract: Especially after the 90ies, where the stock markets raised enormously, many private investors joined the stock market and were blended by abnormal profits and neglected possible losses. The same behavior could be observed before the Financial Crisis became reality. But each endless raising stock market would finally collapse, because stock prices are randomly and only driven by relevant news. The adjustment to the news is quickly. This is the theoretical argumentation of the Efficient Market Hypothesis (EMH), which will be evaluated in this paper. The author gives an overview about the EMH by explaining the basic principles and its mathematical formulation. The practical part evaluated the EMH on selected examples, where the theory could only be partly approved.
Download or read book Evaluation of Efficient Market Tests Based on Daily Stock Returns written by Michael D. Atchison and published by . This book was released on 1982 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Efficient Market Theory and Evidence written by Andrew Ang and published by Now Publishers Inc. This book was released on 2011 with total page 99 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Efficient Market Hypothesis (EMH) asserts that, at all times, the price of a security reflects all available information about its fundamental value. The implication of the EMH for investors is that, to the extent that speculative trading is costly, speculation must be a loser's game. Hence, under the EMH, a passive strategy is bound eventually to beat a strategy that uses active management, where active management is characterized as trading that seeks to exploit mispriced assets relative to a risk-adjusted benchmark. The EMH has been refined over the past several decades to reflect the realism of the marketplace, including costly information, transactions costs, financing, agency costs, and other real-world frictions. The most recent expressions of the EMH thus allow a role for arbitrageurs in the market who may profit from their comparative advantages. These advantages may include specialized knowledge, lower trading costs, low management fees or agency costs, and a financing structure that allows the arbitrageur to undertake trades with long verification periods. The actions of these arbitrageurs cause liquid securities markets to be generally fairly efficient with respect to information, despite some notable anomalies.
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.
Download or read book Prediction of Stock Returns Using Classical and Intelligent Techniques written by Shahid Ahmed and published by . This book was released on 2015 with total page 16 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper is an attempt to predict stock returns using classical (AR) and intelligent (ANN) techniques. AR and ANN techniques are also used to test the efficient market hypotheses using long time-series of daily data of BSE Sensex for the period of January 1997 to September 2005. An attempt has also been made to compare the predictive power of autoregressive (AR) model and artificial neural network (ANN). The present study shows that to a large extent stock morket returns are predictable. Profitable investment decisions may be taken using linear and nonlinear techniques of prediction. Prediction improves by using ANN over AR model. Investment decisions based ANN prediction performs better compared to AR Prediction. It is observed from the obtained result that MSE and RMSE decrease as the number of observations in training set increases. This is equally applicable to both linear and non-linear (ANNN) modeling. The present study does not support efficient market hypotheses.
Download or read book Predicting Stock Returns written by David G McMillan and published by Springer. This book was released on 2017-11-30 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive analysis of asset price movement. It examines different aspects of stock return predictability, the interaction between stock return and dividend growth predictability, the relationship between stocks and bonds, and the resulting implications for asset price movement. By contributing to our understanding of the factors that cause price movement, this book will be of benefit to researchers, practitioners and policy makers alike.
Download or read book Empirical Asset Pricing written by Wayne Ferson and published by MIT Press. This book was released on 2019-03-12 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.
Download or read book The Predictability of Stock Returns and the Efficient Market Hypothesis written by Zsuzsanna Fluck and published by . This book was released on 1993 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt:
