Price-Forecasting Models for HANG SENG INDEX ^HSI Stock PDF Download
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Author: Ton Viet Ta Publisher: ISBN: Category : Languages : en Pages : 98
Book Description
https: //www.dinhxa.com One-Week Free Trial (subject to change) Do you want to earn up to a 610% annual return on your money by two trades per day on HANG SENG INDEX ^HSI Stock? Reading this book is the only way to have a specific strategy. This book offers you a chance to trade ^HSI Stock at predicted prices. Eight methods for buying and selling ^HSI Stock at predicted low/high prices are introduced. These prices are very close to the lowest and highest prices of the stock in a day. All methods are explained in a very easy-to-understand way by using many examples, formulas, figures, and tables. The BIG DATA of the 7858 consecutive trading days (from October 12, 1987 to March 4, 2021) are utilized. The methods do not require any background on mathematics from readers. Furthermore, they are easy to use. Each takes you no more than 30 seconds for calculation to obtain a specific predicted price. The methods are not transient. They cannot be beaten by Mr. Market in several years, even until the stock doubles its current age. They are traits of Mr. Market. The reason is that the author uses the law of large numbers in the probability theory to construct them. In other words, you can use the methods in a long time without worrying about their change. The efficiency of the methods can be checked easily. Just compare the predicted prices with the actual price of the stock while referring to the probabilities of success which are shown clearly in the book (click the LOOK INSIDE button to read more information before buying this book). The book is very useful for Investors who have decided to buy the stock and keep it for a long time (as the strategy of Warren Buffett), or to sell the stock and pay attention to other stocks. The methods will help them to maximize profits for their decision. Day traders who buy and sell the stock many times in a day. Although each method is valid one time per day, the information from the methods will help the traders buy/sell the stock in the second time, third time or more in a day. Beginners to ^HSI Stock. The book gives an insight about the behavior of the stock. They will surely gain their knowledge of ^HSI Stock after reading the book. Everyone who wants to know about the U.S. stock market. https: //www.dinhxa.com includes a software (app) for stock price forecasting using the methods in this book. The software gives 114 predictions while this book gives 16. One-Week Free Trial (subject to change)
Author: Ton Viet Ta Publisher: ISBN: Category : Languages : en Pages : 98
Book Description
https: //www.dinhxa.com One-Week Free Trial (subject to change) Do you want to earn up to a 610% annual return on your money by two trades per day on HANG SENG INDEX ^HSI Stock? Reading this book is the only way to have a specific strategy. This book offers you a chance to trade ^HSI Stock at predicted prices. Eight methods for buying and selling ^HSI Stock at predicted low/high prices are introduced. These prices are very close to the lowest and highest prices of the stock in a day. All methods are explained in a very easy-to-understand way by using many examples, formulas, figures, and tables. The BIG DATA of the 7858 consecutive trading days (from October 12, 1987 to March 4, 2021) are utilized. The methods do not require any background on mathematics from readers. Furthermore, they are easy to use. Each takes you no more than 30 seconds for calculation to obtain a specific predicted price. The methods are not transient. They cannot be beaten by Mr. Market in several years, even until the stock doubles its current age. They are traits of Mr. Market. The reason is that the author uses the law of large numbers in the probability theory to construct them. In other words, you can use the methods in a long time without worrying about their change. The efficiency of the methods can be checked easily. Just compare the predicted prices with the actual price of the stock while referring to the probabilities of success which are shown clearly in the book (click the LOOK INSIDE button to read more information before buying this book). The book is very useful for Investors who have decided to buy the stock and keep it for a long time (as the strategy of Warren Buffett), or to sell the stock and pay attention to other stocks. The methods will help them to maximize profits for their decision. Day traders who buy and sell the stock many times in a day. Although each method is valid one time per day, the information from the methods will help the traders buy/sell the stock in the second time, third time or more in a day. Beginners to ^HSI Stock. The book gives an insight about the behavior of the stock. They will surely gain their knowledge of ^HSI Stock after reading the book. Everyone who wants to know about the U.S. stock market. https: //www.dinhxa.com includes a software (app) for stock price forecasting using the methods in this book. The software gives 114 predictions while this book gives 16. One-Week Free Trial (subject to change)
Author: Ka-Chung Law Publisher: Open Dissertation Press ISBN: 9781374723887 Category : Business & Economics Languages : en Pages : 60
Book Description
This dissertation, "A Comparison of Volatility Predictions in the HK Stock Market" by Ka-chung, Law, 羅家聰, 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: ABSTRACT With the introduction of new financial instruments in recent years especially a variety of derivative securities, financial markets have become more complex and, to certain degree, more volatile. Volatility prediction has thus become more important for both practitioners and academics. Using only historical data, this paper examines a number of existing volatility predicting models. Among them, the Random Walk model, the GARCH model, the EGARCH model and the Stochastic Volatility model are examined with certain modifications. In addition, Hang Seng Index Option prices are used as an instrument for analysis. DOI: 10.5353/th_b3016353 Subjects: Stock price forecasting - China - Hong Kong Stock price forecasting - Mathematical models
Author: Xiaolian Zheng Publisher: Springer ISBN: 1447151550 Category : Technology & Engineering Languages : en Pages : 166
Book Description
Stock Market Modeling and Forecasting translates experience in system adaptation gained in an engineering context to the modeling of financial markets with a view to improving the capture and understanding of market dynamics. The modeling process is considered as identifying a dynamic system in which a real stock market is treated as an unknown plant and the identification model proposed is tuned by feedback of the matching error. Like a physical system, a financial market exhibits fast and slow dynamics corresponding to external (such as company value and profitability) and internal forces (such as investor sentiment and commodity prices) respectively. The framework presented here, consisting of an internal model and an adaptive filter, is successful at considering both fast and slow market dynamics. A double selection method is efficacious in identifying input factors influential in market movements, revealing them to be both frequency- and market-dependent. The authors present work on both developed and developing markets in the shape of the US, Hong Kong, Chinese and Singaporean stock markets. Results from all these sources demonstrate the efficiency of the model framework in identifying significant influences and the quality of its predictive ability; promising results are also obtained by applying the model framework to the forecasting of major market-turning periods. Having shown that system-theoretic ideas can form the core of a novel and effective basis for stock market analysis, the book is completed by an indication of possible and likely future expansions of the research in this area.
Author: Syed Hasan Jafar Publisher: CRC Press ISBN: 1000867625 Category : Computers Languages : en Pages : 183
Book Description
Artificial Intelligence for Capital Market throws light on the application of AI/ML techniques in the financial capital markets. This book discusses the challenges posed by the AI/ML techniques as these are prone to "black box" syndrome. The complexity of understanding the underlying dynamics for results generated by these methods is one of the major concerns which is highlighted in this book. Features: Showcases artificial intelligence in finance service industry Explains credit and risk analysis Elaborates on cryptocurrencies and blockchain technology Focuses on the optimal choice of asset pricing model Introduces testing of market efficiency and forecasting in the Indian stock market This book serves as a reference book for academicians, industry professionals, traders, finance managers and stock brokers. It may also be used as textbook for graduate level courses in financial services and financial analytics.
Author: Abdol S. Soofi Publisher: Springer Science & Business Media ISBN: 1461509319 Category : Business & Economics Languages : en Pages : 496
Book Description
Modelling and Forecasting Financial Data brings together a coherent and accessible set of chapters on recent research results on this topic. To make such methods readily useful in practice, the contributors to this volume have agreed to make available to readers upon request all computer programs used to implement the methods discussed in their respective chapters. Modelling and Forecasting Financial Data is a valuable resource for researchers and graduate students studying complex systems in finance, biology, and physics, as well as those applying such methods to nonlinear time series analysis and signal processing.
Author: Rita Yi Man Li Publisher: Routledge ISBN: 1317587928 Category : Business & Economics Languages : en Pages : 199
Book Description
This book explores how econometric modelling can be used to provide valuable insight into international housing markets. Initially describing the role of econometrics modelling in real estate market research and how it has developed in recent years, the book goes on to compare and contrast the impact of various macroeconomic factors on developed and developing housing markets. Explaining the similarities and differences in the impact of financial crises on housing markets around the world, the author's econometric analysis of housing markets across the world provides a broad and nuanced perspective on the impact of both international financial markets and local macro economy on housing markets. With discussion of countries such as China, Germany, UK, US and South Africa, the lessons learned will be of interest to scholars of Real Estate economics around the world.
Author: Ton Viet Ta
Author: Ton Viet Ta
Author: Wai Tak Lau
Author: Ping Raymond Ho
Author: Ka-Chung Law
Author: Xiaolian Zheng
Author: Ka-Lin Karen Chan
Author: Kefan Zhang
Author: Syed Hasan Jafar
Author: Abdol S. Soofi
Author: Rita Yi Man Li