Seasonal Effects on Stock Markets and How We Can Benefit from It in Our Investing and Trading Activity
Seasonal Effects on Stock Markets and How We Can Benefit from It in Our Investing and Trading Activity

Author: Pimarn Charn

Publisher: Booktango

Published: 2016-03-11

Total Pages: 106

ISBN-13: 146896917X

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To increase our possibility to win and profit in investing and trading we got to know seasonal effects on stock markets. This is about understanding existing market patterns and cycles. We explain all these patterns in plain and simple terms that investors or traders can grasp in a short reading period so they could increase an odd on their favor to win or profit in the stock markets. Some investors and traders will be interested in the market patterns and cycles in some points. Some may already have gone on searching this information. Many of them are disappointed as they didn’t find it. They will acquire the information here and don’t have to read all kind of theories and references that many other books of this kind present. As investors and traders, we just want to know what they are and how good we could and should believe in it. Also, what is the simple logic behind this belief or information? Are they making sense to us? What are their applications? Should we be more comfortable to apply it in our situation? Do they really work? How could we benefit from it and make profit in our investing and trading activities. One of the significant phenomena is the best trading period of the year. It often occurs time after time. Also, we will learn all kinds of seasonal effects which include calendar effects, month of the year effects, government related effects, day and hour of the week and day, and the supply and demand of goods and services. On the month of year effects, we will learn about January barometer, September effect, May principle or Halloween indicator, Mark Twain effect, The Santa Claus rally or December effect, and January effect. On the government related effect, we will be learning about the presidential election effect and the congressional effect. On the demand and supply of goods and services, we will explain on how market supply and demand affect the stock price.

The Little Book of Stock Market Cycles
The Little Book of Stock Market Cycles

Author: Jeffrey A. Hirsch

Publisher: John Wiley & Sons

Published: 2012-07-11

Total Pages: 245

ISBN-13: 111828349X

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Jeffrey Hirsch discusses how to capture market-beating returns by following specific stock market cycles While predicting the direction of the stock market at any given point is difficult, it's a fact that the market exhibits well-defined and sometimes predictable patterns. While cycles do not repeat exactly all of the time, statistical evidence suggests that cyclical tendencies are very strong and should not be ignored by investors. The Little Book of Stock Market Cycles will show you how to profit from these recurring stock market patterns and cycles. Written by Jeffrey Hirsch, President of the Hirsch Organization and Editor-in-Chief of the Stock Trader's Almanac, this reliable resource explains why these cycles occur, provides the historical evidence behind them, and shows you how to capture consistent profits from them moving forward. In addition to describing his most widely followed cycles and patters, Hirsch also discusses both longer term boom-bust economic cycles and shorter term tendencies involving the best days, weeks, and months of the year to trade the market. The methods found here follow everything from presidential election cycles to the "Santa Claus" effect Written by Jeffrey Hirsch, the pre-eminent authority on market cycles and seasonal patterns The strategies explored are easy-to-implement, and based on research that has proven profitable over the course of time For investors looking to beat the buy-and-hold philosophy, The Little Book of Stock Market Cycles will provide simple, actionable ideas that have stood the test of time and consistently outperformed the market.

Computational Science – ICCS 2008
Computational Science – ICCS 2008

Author: Marian Bubak

Publisher: Springer Science & Business Media

Published: 2008-06-11

Total Pages: 771

ISBN-13: 3540693866

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The three-volume set LNCS 5101-5103 constitutes the refereed proceedings of the 8th International Conference on Computational Science, ICCS 2008, held in Krakow, Poland in June 2008. The 167 revised papers of the main conference track presented together with the abstracts of 7 keynote talks and the 100 revised papers from 14 workshops were carefully reviewed and selected for inclusion in the three volumes. The main conference track was divided into approximately 20 parallel sessions addressing topics such as e-science applications and systems, scheduling and load balancing, software services and tools, new hardware and its applications, computer networks, simulation of complex systems, image processing and visualization, optimization techniques, numerical linear algebra, and numerical algorithms. The second volume contains workshop papers related to various computational research areas, e.g.: computer graphics and geometric modeling, simulation of multiphysics multiscale systems, computational chemistry and its applications, computational finance and business intelligence, physical, biological and social networks, geocomputation, and teaching computational science. The third volume is mostly related to computer science topics such as bioinformatics' challenges to computer science, tools for program development and analysis in computational science, software engineering for large-scale computing, collaborative and cooperative environments, applications of workflows in computational science, as well as intelligent agents and evolvable systems.

Big Data and Machine Learning in Quantitative Investment
Big Data and Machine Learning in Quantitative Investment

Author: Tony Guida

Publisher: John Wiley & Sons

Published: 2019-03-25

Total Pages: 308

ISBN-13: 1119522196

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Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investment Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it’s a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and big data to quantitative finance. The book is split into 13 chapters, each of which is written by a different author on a specific case. The chapters are ordered according to the level of complexity; beginning with the big picture and taxonomy, moving onto practical applications of machine learning and finally finishing with innovative approaches using deep learning. • Gain a solid reason to use machine learning • Frame your question using financial markets laws • Know your data • Understand how machine learning is becoming ever more sophisticated Machine learning and big data are not a magical solution, but appropriately applied, they are extremely effective tools for quantitative investment — and this book shows you how.

The Little Book of Stock Market Profits
The Little Book of Stock Market Profits

Author: Mitch Zacks

Publisher: John Wiley & Sons

Published: 2011-10-19

Total Pages: 224

ISBN-13: 1118192419

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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.

Financial Trading and Investing
Financial Trading and Investing

Author: John L. Teall

Publisher: Academic Press

Published: 2022-07-09

Total Pages: 572

ISBN-13: 0323984452

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Financial Trading and Investing, Third Edition provides a useful introduction to trading and market microstructure for advanced undergraduate as well as master's students. Without demanding a background in econometrics, the book explores alternative markets and highlights recent regulatory developments, implementations, institutions and debates. The text offers explanations of controversial trading tactics (and blunders) such as high-frequency trading, dark liquidity pools, fat fingers, insider trading and flash orders, emphasizing links between the history of financial regulation and events in financial markets. It includes coverage of valuation and hedging techniques, particularly with respect to fixed income and derivative securities. The text adds a chapter on financial utilities and institutions that provide support services to traders and updates regulatory matters. Combining theory and application, this book provides a practical beginner's introduction to today's investment tools and markets with a special emphasis on trading. - Concentrates on trading, trading institutions, markets and the institutions that facilitate and regulate trading activities - Introduces foundational topics relating to trading and securities markets, including auctions, market microstructure, the roles of information and inventories, behavioral finance, market efficiency, risk, arbitrage, trading technology, trading regulation and ECNs - Covers market and technology advances and innovations, such as execution algo trading, Designated Market Makers (DMMs), Supplemental Liquidity Providers (SLPs), and the Super Display Book system (SDBK) - Includes improved pedagogical supplements, including end-of-chapter questions with detailed solutions at the end of the text, and useful appendices - Student resources available online: https://www.elsevier.com/books-and-journals/book-companion/9780323909556 - Instructor resources available for request by qualified professors: https://educate.elsevier.com/9780323909556

Efficiency and Anomalies in Stock Markets
Efficiency and Anomalies in Stock Markets

Author: Wing-Keung Wong

Publisher: Mdpi AG

Published: 2022-02-17

Total Pages: 232

ISBN-13: 9783036530802

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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.