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EBookClubs

Read Books & Download eBooks Full Online

Book Great Investment Ideas

Download or read book Great Investment Ideas written by William T Ziemba and published by World Scientific Publishing Company. This book was released on 2016-09-08 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Great Investment Ideas is a collection of articles published in the Journal of Portfolio Management from 1993 to 2015. The book contains useful ideas for investment management and trading and discusses the methods, results and evaluation of great investors. It also covers important topics such as the effect of errors in means, variances and co-variances in portfolio selection problems, stock market crashes and stock market anomalies, portfolio theory and practice, evaluation theory, etc. This book is a must-have publication for investors and financial experts, researchers and graduate students in finance.

Book Calendar Anomalies And Arbitrage

Download or read book Calendar Anomalies And Arbitrage written by William T Ziemba and published by World Scientific. This book was released on 2012-07-25 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses calendar or seasonal anomalies in worldwide equity markets as well as arbitrage and risk arbitrage. A complete update of US anomalies such as the January turn-of-the year, turn-of-the-month, January barometer, sell in May and go away, holidays, days of the week, options expiry and other effects is given concentrating on the futures markets where these anomalies can be easily applied. Other effects that lend themselves to modified buy and hold cash strategies include the presidential election and factor models based on fundamental anomalies. The ideas have been used successfully by the author in personal and managed accounts and hedge funds.

Book The Handbook of Equity Market Anomalies

Download or read book The Handbook of Equity Market Anomalies written by Leonard Zacks and published by John Wiley & Sons. This book was released on 2011-08-24 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Investment pioneer Len Zacks presents the latest academic research on how to beat the market using equity anomalies The Handbook of Equity Market Anomalies organizes and summarizes research carried out by hundreds of finance and accounting professors over the last twenty years to identify and measure equity market inefficiencies and provides self-directed individual investors with a framework for incorporating the results of this research into their own investment processes. Edited by Len Zacks, CEO of Zacks Investment Research, and written by leading professors who have performed groundbreaking research on specific anomalies, this book succinctly summarizes the most important anomalies that savvy investors have used for decades to beat the market. Some of the anomalies addressed include the accrual anomaly, net stock anomalies, fundamental anomalies, estimate revisions, changes in and levels of broker recommendations, earnings-per-share surprises, insider trading, price momentum and technical analysis, value and size anomalies, and several seasonal anomalies. This reliable resource also provides insights on how to best use the various anomalies in both market neutral and in long investor portfolios. A treasure trove of investment research and wisdom, the book will save you literally thousands of hours by distilling the essence of twenty years of academic research into eleven clear chapters and providing the framework and conviction to develop market-beating strategies. Strips the academic jargon from the research and highlights the actual returns generated by the anomalies, and documented in the academic literature Provides a theoretical framework within which to understand the concepts of risk adjusted returns and market inefficiencies Anomalies are selected by Len Zacks, a pioneer in the field of investing As the founder of Zacks Investment Research, Len Zacks pioneered the concept of the earnings-per-share surprise in 1982 and developed the Zacks Rank, one of the first anomaly-based stock selection tools. Today, his firm manages U.S. equities for individual and institutional investors and provides investment software and investment data to all types of investors. Now, with his new book, he shows you what it takes to build a quant process to outperform an index based on academically documented market inefficiencies and anomalies.

Book An analysis of seasonality and birth outcomes in highly malarious areas of Tanzania

Download or read book An analysis of seasonality and birth outcomes in highly malarious areas of Tanzania written by Ulrika Uddenfeldt Wort and published by Rozenberg Publishers. This book was released on 2007 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book A Monthly Effect in Stock Returns

Download or read book A Monthly Effect in Stock Returns written by Robert A. Ariel and published by Palala Press. This book was released on 2018-03-03 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Book Beyond the Random Walk

Download or read book Beyond the Random Walk written by Vijay Singal and published by Financial Management Association Survey and Synthesis Series. This book was released on 2006 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: In an efficient market, all stocks should be valued at a price that is consistent with available information. But as financial expert Singal points out, there are circumstances under which certain stocks sell at a price higher or lower than the right price. Here he discusses ten such anomalous prices and shows how investors might--or might not--be able to exploit these situations for profit.

Book Stock Market Anomalies

Download or read book Stock Market Anomalies written by Elroy Dimson and published by CUP Archive. This book was released on 1988-03-17 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Statistical Postprocessing of Ensemble Forecasts

Download or read book Statistical Postprocessing of Ensemble Forecasts written by Stéphane Vannitsem and published by Elsevier. This book was released on 2018-05-17 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Postprocessing of Ensemble Forecasts brings together chapters contributed by international subject-matter experts describing the current state of the art in the statistical postprocessing of ensemble forecasts. The book illustrates the use of these methods in several important applications including weather, hydrological and climate forecasts, and renewable energy forecasting. After an introductory section on ensemble forecasts and prediction systems, the second section of the book is devoted to exposition of the methods available for statistical postprocessing of ensemble forecasts: univariate and multivariate ensemble postprocessing are first reviewed by Wilks (Chapters 3), then Schefzik and Möller (Chapter 4), and the more specialized perspective necessary for postprocessing forecasts for extremes is presented by Friederichs, Wahl, and Buschow (Chapter 5). The second section concludes with a discussion of forecast verification methods devised specifically for evaluation of ensemble forecasts (Chapter 6 by Thorarinsdottir and Schuhen). The third section of this book is devoted to applications of ensemble postprocessing. Practical aspects of ensemble postprocessing are first detailed in Chapter 7 (Hamill), including an extended and illustrative case study. Chapters 8 (Hemri), 9 (Pinson and Messner), and 10 (Van Schaeybroeck and Vannitsem) discuss ensemble postprocessing specifically for hydrological applications, postprocessing in support of renewable energy applications, and postprocessing of long-range forecasts from months to decades. Finally, Chapter 11 (Messner) provides a guide to the ensemble-postprocessing software available in the R programming language, which should greatly help readers implement many of the ideas presented in this book. Edited by three experts with strong and complementary expertise in statistical postprocessing of ensemble forecasts, this book assesses the new and rapidly developing field of ensemble forecast postprocessing as an extension of the use of statistical corrections to traditional deterministic forecasts. Statistical Postprocessing of Ensemble Forecasts is an essential resource for researchers, operational practitioners, and students in weather, seasonal, and climate forecasting, as well as users of such forecasts in fields involving renewable energy, conventional energy, hydrology, environmental engineering, and agriculture. - Consolidates, for the first time, the methodologies and applications of ensemble forecasts in one succinct place - Provides real-world examples of methods used to formulate forecasts - Presents the tools needed to make the best use of multiple model forecasts in a timely and efficient manner

Book Efficiency and Anomalies in Stock Markets

Download or read book Efficiency and Anomalies in Stock Markets written by Wing-Keung Wong and published by Mdpi AG. This book was released on 2022-02-17 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Efficient Market Hypothesis believes that it is impossible for an investor to outperform the market because all available information is already built into stock prices. However, some anomalies could persist in stock markets while some other anomalies could appear, disappear and re-appear again without any warning. A Special Issue on "Efficiency and Anomalies in Stock Markets" will be devoted to advancements in the theoretical development of market efficiency and anomaly in the Stock Market, as well as applications in Stock Market efficiency and anomalies.

Book Weather Derivative Valuation

Download or read book Weather Derivative Valuation written by Stephen Jewson and published by Cambridge University Press. This book was released on 2005-03-10 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published in 2005, Weather Derivative Valuation covers all the meteorological, statistical, financial and mathematical issues that arise in the pricing and risk management of weather derivatives. There are chapters on meteorological data and data cleaning, the modelling and pricing of single weather derivatives, the modelling and valuation of portfolios, the use of weather and seasonal forecasts in the pricing of weather derivatives, arbitrage pricing for weather derivatives, risk management, and the modelling of temperature, wind and precipitation. Specific issues covered in detail include the analysis of uncertainty in weather derivative pricing, time-series modelling of daily temperatures, the creation and use of probabilistic meteorological forecasts and the derivation of the weather derivative version of the Black-Scholes equation of mathematical finance. Written by consultants who work within the weather derivative industry, this book is packed with practical information and theoretical insight into the world of weather derivative pricing.

Book Bayesian Time Series Models

Download or read book Bayesian Time Series Models written by David Barber and published by Cambridge University Press. This book was released on 2011-08-11 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first unified treatment of time series modelling techniques spanning machine learning, statistics, engineering and computer science.

Book Forecasting  principles and practice

Download or read book Forecasting principles and practice written by Rob J Hyndman and published by OTexts. This book was released on 2018-05-08 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly.

Book Meteorology of the Southern Hemisphere

Download or read book Meteorology of the Southern Hemisphere written by David Karoly and published by Springer. This book was released on 2015-04-03 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book looks at the circulation features of the Southern Hemisphere, both for the atmosphere and oceans. It includes observational techniques based on satellites, anchored and drifting buoys, and the research carried out at research stations in the Southern Hemisphere. The book was originally published in 1972 by the American Meteorological Society. It has been revised and updated in 1999, following the expansion of research bases and the development of research in the region at the time.

Book Calendar Anomalies and Arbitrage

Download or read book Calendar Anomalies and Arbitrage written by W. T. Ziemba and published by World Scientific. This book was released on 2012 with total page 607 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses calendar or seasonal anomalies in worldwide equity markets as well as arbitrage and risk' arbitrage. A complete update of US anomalies such as the January turn-of-the year, turn-of-the-month. January barometer, sell in May and go away, holidays, days of the week, options expiry and other effects is given concentrating in the futures markets where these anomalies can be easily applied. Other effects that lend themselves to modified buy and hold cash strategies include some of these as well as presidential election, factor models based on fundamental anomalies and other effects. The ideas have been used successfully by the author in personal and managed accounts and hedge funds. Book jacket.

Book Seasonal and Size Anomalies in the Japanese Stock Market

Download or read book Seasonal and Size Anomalies in the Japanese Stock Market written by Kiyoshi Katō and published by . This book was released on 1985 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Sub seasonal to Seasonal Prediction

Download or read book Sub seasonal to Seasonal Prediction written by Andrew Robertson and published by Elsevier. This book was released on 2018-10-19 with total page 588 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Gap Between Weather and Climate Forecasting: Sub-seasonal to Seasonal Prediction is an ideal reference for researchers and practitioners across the range of disciplines involved in the science, modeling, forecasting and application of this new frontier in sub-seasonal to seasonal (S2S) prediction. It provides an accessible, yet rigorous, introduction to the scientific principles and sources of predictability through the unique challenges of numerical simulation and forecasting with state-of-science modeling codes and supercomputers. Additional coverage includes the prospects for developing applications to trigger early action decisions to lessen weather catastrophes, minimize costly damage, and optimize operator decisions. The book consists of a set of contributed chapters solicited from experts and leaders in the fields of S2S predictability science, numerical modeling, operational forecasting, and developing application sectors. The introduction and conclusion, written by the co-editors, provides historical perspective, unique synthesis and prospects, and emerging opportunities in this exciting, complex and interdisciplinary field. - Contains contributed chapters from leaders and experts in sub-seasonal to seasonal science, forecasting and applications - Provides a one-stop shop for graduate students, academic and applied researchers, and practitioners in an emerging and interdisciplinary field - Offers a synthesis of the state of S2S science through the use of concrete examples, enabling potential users of S2S forecasts to quickly grasp the potential for application in their own decision-making - Includes a broad set of topics, illustrated with graphic examples, that highlight interdisciplinary linkages

Book Time Series Analysis on AWS

Download or read book Time Series Analysis on AWS written by Michaël Hoarau and published by Packt Publishing Ltd. This book was released on 2022-02-28 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leverage AWS AI/ML managed services to generate value from your time series data Key FeaturesSolve modern time series analysis problems such as forecasting and anomaly detectionGain a solid understanding of AWS AI/ML managed services and apply them to your business problemsExplore different algorithms to build applications that leverage time series dataBook Description Being a business analyst and data scientist, you have to use many algorithms and approaches to prepare, process, and build ML-based applications by leveraging time series data, but you face common problems, such as not knowing which algorithm to choose or how to combine and interpret them. Amazon Web Services (AWS) provides numerous services to help you build applications fueled by artificial intelligence (AI) capabilities. This book helps you get to grips with three AWS AI/ML-managed services to enable you to deliver your desired business outcomes. The book begins with Amazon Forecast, where you'll discover how to use time series forecasting, leveraging sophisticated statistical and machine learning algorithms to deliver business outcomes accurately. You'll then learn to use Amazon Lookout for Equipment to build multivariate time series anomaly detection models geared toward industrial equipment and understand how it provides valuable insights to reinforce teams focused on predictive maintenance and predictive quality use cases. In the last chapters, you'll explore Amazon Lookout for Metrics, and automatically detect and diagnose outliers in your business and operational data. By the end of this AWS book, you'll have understood how to use the three AWS AI services effectively to perform time series analysis. What you will learnUnderstand how time series data differs from other types of dataExplore the key challenges that can be solved using time series dataForecast future values of business metrics using Amazon ForecastDetect anomalies and deliver forewarnings using Lookout for EquipmentDetect anomalies in business metrics using Amazon Lookout for MetricsVisualize your predictions to reduce the time to extract insightsWho this book is for If you're a data analyst, business analyst, or data scientist looking to analyze time series data effectively for solving business problems, this is the book for you. Basic statistics knowledge is assumed, but no machine learning knowledge is necessary. Prior experience with time series data and how it relates to various business problems will help you get the most out of this book. This guide will also help machine learning practitioners find new ways to leverage their skills to build effective time series-based applications.