Download or read book Tests of Random Walk Model Simple Technical Trading Rules and Seasonal Patterns in the Hong Kong Stock Market written by Kwong-Chin Cheung and published by . This book was released on 1997 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Simulation of Technical Stock market Trading Rules and Implications Regarding the Random Walk and Fair Game Hypotheses written by Lawrence L. Lapin and published by . This book was released on 1972 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Reliability Analysis of Technical Trading Rules in Security Market Based on Conditional Random Field Model written by 楊宗杭 and published by . This book was released on 2011 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book The Statistical Properties and Effectiveness of Filter Trading Rule written by Ling Xin and published by Open Dissertation Press. This book was released on 2017-01-26 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "The Statistical Properties and Effectiveness of Filter Trading Rule" by Ling, Xin, 辛聆, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: Filter trading rule is a technical trading strategy that was very popular amongst practitioners and has been used a lot for testing market efficiency. It has been shown that the filter trading rule is mathematically equivalent to the CUSUM quality control test as both are based on change point detection theory via sequential probability ratio tests (SPRT). To study the operating characteristics of the filter trading rule, many results from the CUSUM literature can be applied. However, some interesting operating characteristics of a technical trading rule such as expected profit per day may not be relevant when put into a quality control setting. In this thesis, we derive formulae for computing these operating characteristics. It is well known that just like any other technical trading rule, the filter trading rule is not effective when the asset price follows a random walk. In this thesis, we studied the statistical properties and effectiveness of the filter trading rule under different asset price models including Markov regime switching model and conditional heteroskedasticity model. The properties of the filter trading rule considered include the waiting time for the first signal in filter trading, the duration of a long or a short cycle in filter trading, the profit return derived from a long or a short cycle and the unit time return of long term filter trading. Built on the above results, we consider the problem of optimizing the performance of a filter trading rule by choosing a suitable filter size. For filter trading rule under the conditional heteroskedasticity model, the change point detection methods lead to a new technical trading rule called generalized filter trading rule in this thesis. The generalized filter trading rule is shown to have a better performance over the ordinary filter trading rule when it is applied to the trading of the Hang Seng Index futures contract. Finally, we have applied the filter trading rule to intraday trading on high frequency Hang Seng Index futures data. DOI: 10.5353/th_b5016249 Subjects: Stocks - Prices - Statistical methods Investments - Statistical methods

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.

Download or read book Mining Optimal Technical Trading Rules with Genetic Algorithms written by Rujun Shen and published by . This book was released on 2017-01-26 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "Mining Optimal Technical Trading Rules With Genetic Algorithms" by Rujun, Shen, 沈汝君, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. Abstract: In recent years technical trading rules are widely known by more and more people, not only the academics many investors also learn to apply them in financial markets. One approach of constructing technical trading rules is to use technical indicators, such as moving average(MA) and filter rules. These trading rules are widely used possibly because the technical indicators are simple to compute and can be programmed easily. An alternative approach of constructing technical trading rules is to rely on some chart patterns. However, the patterns and signals detected by these rules are often made by the visual inspection through human eyes. As for as I know, there are no universally acceptable methods of constructing the chart patterns. In 2000, Prof. Andrew Lo and his colleagues are the first ones who define five pairs of chart patterns mathematically. They are Head-and-Shoulders(HS) & Inverted Headand- Shoulders(IHS), Broadening tops(BTOP) & bottoms(BBOT), Triangle tops(TTOP) & bottoms(TBOT), Rectangle tops(RTOP) & bottoms( RBOT) and Double tops(DTOP) & bottoms(DBOT). The basic formulation of a chart pattern consists of two steps: detection of (i) extreme points of a price series; and (ii) shape of the pattern. In Lo et al.(2000), the method of kernel smoothing was used to identify the extreme points. It was admitted by Lo et al. (2000) that the optimal bandwidth used in kernel method is not the best choice and the expert judgement is needed in detecting the bandwidth. In addition, their work considered chart pattern detection only but no buy/sell signal detection. It should be noted that it is possible to have a chart pattern formed without a signal detected, but in this case no transaction will be made. In this thesis, I propose a new class of technical trading rules which aims to resolve the above problems. More specifically, each chart pattern is parameterized by a set of parameters which governs the shape of the pattern, the entry and exit signals of trades. Then the optimal set of parameters can be determined by using genetic algorithms (GAs). The advantage of GA is that they can deal with a high-dimensional optimization problems no matter the parameters to be optimized are continuous or discrete. In addition, GA can also be convenient to use in the situation that the fitness function is not differentiable or has a multi-modal surface. DOI: 10.5353/th_b4787001 Subjects: Stocks - Prices - Statistical methods Investments - Statistical methods Genetic algorithms

Download or read book Statistical Analysis of Some Technical Trading Rules in Financial Markets written by and published by . This book was released on 1996 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Statistical Analysis of Some Technical Trading Rules in Financial Markets written by Hon-chuen Yam and published by . This book was released on 1996 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Simple Technical Trading Rule by Using Moving Average written by Sui-choi Mak (Billy) and published by . This book was released on 1995 with total page 15 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Tests of Technical Trading Rule Profitability in Australian Financial Markets written by Jung-Soo Park and published by . This book was released on 2013 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, we apply the 7,846 technical trading rules considered by Sullivan et al. (1999) to a stock index, some individual stocks, some currencies and some interest rate futures contracts traded in the Australian financial markets. Size distortions due to data-snooping are avoided by using the Reality Check test of White (2000) and the Superior Predictive Ability test of Hansen (2005). We find no evidence that technical trading rules provide trading profits in excess of those available from a simple buy-and-hold strategy.

Download or read book The Random Walk Hypothesis and Stock Market Efficiency written by D. J. Jüttner and published by . This book was released on 1974 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Chart Patterns written by Thomas N. Bulkowski and published by John Wiley & Sons. This book was released on 2016-06-01 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take chart patterns beyond buy triggers to increase profits and make better trades Chart Patterns: After the Buy goes beyond simple chart pattern identification to show what comes next. Author and stock trader Thomas Bulkowski is one of the industry's most respected authorities in technical analysis; for this book, he examined over 43,000 chart patterns to discover what happens after you buy the stock. His findings are detailed here, to help you select better buy signals, avoid disaster, and make more money. Bulkowski analyzed thousands of trades to identify common paths a stock takes after the breakout from a chart pattern. By combining those paths, he discovered the typical routes a stock takes, which he calls configurations. Match your chart to one of those configurations and you will know, before you buy, how your trade will likely perform. Now you can avoid potentially disastrous trades to focus on the big winners. Each chapter illustrates the behavior of a specific pattern. Identification guidelines help even beginners recognize common patterns, and expert analysis sheds light on the period of the stock's behavior that actually affects your investment. You'll discover ideal buy and sell setups, how to set price targets, and more, with almost 370 charts and illustrations to guide you each step of the way. Coverage includes the most common and popular patterns, but also the lesser-known ones like bad earnings surprises, price mirrors, price mountains, and straight-line runs. Whether you're new to chart patterns or an experienced professional, this book provides the insight you need to select better trades. Identify chart patterns Select better buy signals Predict future behavior Learn the best stop locations Knowing the pattern is one thing, but knowing how often a stop will trigger and how often you can expect a stock to reach its target price is another matter entirely—and it impacts your trade performance immensely. Chart Patterns: After the Buy is the essential reference guide to using chart patterns effectively throughout the entire life of the trade.

Download or read book Performance of Simple Moving Average Trading Rules written by Lin Miao and published by . This book was released on 2010 with total page 72 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Introduction to Statistical Time Series written by Wayne A. Fuller and published by John Wiley & Sons. This book was released on 2009-09-25 with total page 734 pages. Available in PDF, EPUB and Kindle. Book excerpt: The subject of time series is of considerable interest, especiallyamong researchers in econometrics, engineering, and the naturalsciences. As part of the prestigious Wiley Series in Probabilityand Statistics, this book provides a lucid introduction to thefield and, in this new Second Edition, covers the importantadvances of recent years, including nonstationary models, nonlinearestimation, multivariate models, state space representations, andempirical model identification. New sections have also been addedon the Wold decomposition, partial autocorrelation, long memoryprocesses, and the Kalman filter. Major topics include: * Moving average and autoregressive processes * Introduction to Fourier analysis * Spectral theory and filtering * Large sample theory * Estimation of the mean and autocorrelations * Estimation of the spectrum * Parameter estimation * Regression, trend, and seasonality * Unit root and explosive time series To accommodate a wide variety of readers, review material,especially on elementary results in Fourier analysis, large samplestatistics, and difference equations, has been included.

Download or read book Predicting Forex and Stock Market with Fractal Pattern written by Young Ho Seo and published by www.algotrading-investment.com. This book was released on 2020-04-09 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: About this book This book provides you the powerful and brand new knowledge on predicting financial market that we have discovered in several years of our own research and development work. This book will help you to turn your intuition into the scientific prediction method. In the course of recognizing the price patterns in the chart of Forex and Stock market, you should be realized that it was your intuition working at the background for you. The geometric prediction devised in this book will show you the scientific way to predict the financial market using your intuition. Many of us made a mistake of viewing the financial market with deterministic cycle. Even though we knew that market would not show us such a simple prediction pattern, we never stop using the concept of deterministic cycle to predict the financial market, for example, using Fourier transform, and other similar techniques. Why is that so? The reason is simple. It is because no one presented an effective way of predicting stochastic cycle. Stochastic cycle is the true face of the financial market because many variables in the market are suppressing the predictable cycle with fixed time interval. So how we predict the stochastic cycle present in the financial market? The key to answer is the Fractal Pattern and Fractal Wave. The geometric prediction on Fractal Wave solves the puzzles of the stochastic cycle modelling problem together. In another words, your intuition, more precisely your capability to recognize geometric shape, is more powerful than any other technical indicators available in the market. Hence, the geometric prediction, which comes from your intuition, would maximize your ability to trade in the financial market. In this book, Geometric prediction is described as the combined ability to recognize the geometric regularity and statistical regularity from the chart. We provide the examples of geometric regularity and statistical regularity. In addition, we will show you how these regularities are related to your intuition. The chart patterns covered in this book include support, resistance, Fibonacci Price pattern, Harmonic Pattern, Falling Wedge pattern, Rising Wedge pattern, and Gann Angles with probability. We use these chart patterns to detect geometric regularity. Then, we use the turning point probability as the mean of detecting statistical regularity. In our trading, we combine both to improve the trading performance.

Download or read book The Gartley Trading Method written by Ross Beck and published by John Wiley & Sons. This book was released on 2010-10-05 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: A detailed look at the technical pattern simply referred to today as the Gartley Pattern Gartley patterns are based on the work of H.M. Gartley, a prominent technical analyst best known for a particular retracement pattern that bears his name. In recent years, Gartley patterns-which reflect the underlying psychology of fear and greed in the markets-have received renewed interest. This definitive guide skillfully explains how to utilize the proven methods of H.M. Gartley to capture consistent profits in the financial markets. Page by page, you'll become familiar with Gartley's original work, how his patterns can be adapted to today's fast moving markets, and what it takes to make them work for you. Examines how to identify and profit from the most powerful formation in the financial markets Discusses the similarities, differences and the superiority of the Gartley Pattern compared to classical chart patterns including Elliott Wave Shows how to apply filters to Gartley patterns to improve the probability of your trading opportunities, as well as specific rules where to enter and exit positions Gartley's pattern is based on a unique market position where most traders refuse to participate due to fear. This book reveals how you can overcome this fear, and how to profit from the most consistent and reliable pattern in the financial markets.

Download or read book Getting Started in Chart Patterns written by Thomas N. Bulkowski and published by John Wiley & Sons. This book was released on 2011-03-10 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt: An accessible guide to understanding and using technical chart patterns Chart pattern analysis is not only one of the most important investing tools, but also one of the most popular. Filled with in-depth insights and practical advice, Getting Started in Chart Patterns is designed to help both new and seasoned traders profit by tracking and identifying specific chart patterns. Expert Thomas Bulkowski opens with a basic discussion of chart pattern formation and how bad habits can hurt trading. He then moves on to introduce over 40 key chart formations as well as numerous trading tactics that can be used in conjunction with them. Readers will benefit from the specifics (actual trades with dollar amounts) outlined throughout the book and the frank discussions of how trading behavior can affect the bottom line. Anecdotes from Bulkowski's own trading experiences are also included to shed light on how one of the best in the business goes about trading with chart patterns. Order your copy today.