Download or read book Modeling and Forecasting Hong Kong Stock Market Return written by Hiu Ming Wong and published by . This book was released on 1999 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Test on a Stock Return Forecast Model written by Wai Man Lai and published by . This book was released on 2014 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Stock Market Modeling and Forecasting written by Xiaolian Zheng and published by Springer. This book was released on 2013-04-05 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Modeling Hong Kong Stock Return and Its Linkage with US Stock Market written by Yung Tom Lam and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book International Spillovers and Volatility Asymmetries written by Kee-hong Bae and published by . This book was released on 1993 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Forecasting the Hang Seng Stock Index of the Hong Kong Stock Market Using Artificial Neural Network Models written by Ping Raymond Ho and published by . This book was released on 2006 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book COMPARISON OF VOLATILITY PREDI written by Ka-Chung Law and published by Open Dissertation Press. This book was released on 2017-01-27 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Download or read book RISK RETURN IN FINANCIAL MAR written by Yat-Ming Tsang and published by Open Dissertation Press. This book was released on 2017-01-26 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: This dissertation, "Risk and Return in Financial Markets: a Study of the Hong Kong Stock Market" by Yat-ming, Tsang, 曾日明, 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. DOI: 10.5353/th_b3197673 Subjects: Stock exchanges - China - Hong Kong Capital assets pricing model Risk - China - Hong Kong Rate of return - China - Hong Kong Stocks

Download or read book Price Forecasting Models for Nasdaq Futures NQ F Stock written by Ton Viet Ta and published by . This book was released on 2021-03-12 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt: https: //www.dinhxa.com One-Week Free Trial (subject to change) Do you want to earn up to a 1392% annual return on your money by two trades per day on Nasdaq Futures NQ=F Stock? Reading this book is the only way to have a specific strategy. This book offers you a chance to trade NQ=F Stock at predicted prices. Eight methods for buying and selling NQ=F 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 5136 consecutive trading days (from September 18, 2000 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 NQ=F Stock. The book gives an insight about the behavior of the stock. They will surely gain their knowledge of NQ=F 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)

Download or read book Forecasting Stock Indices Movement Using Hybrid Model written by Thapanun Punyavachira and published by . This book was released on 2013 with total page 94 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Proceedings of the 3rd International Conference on Internet Finance and Digital Economy ICIFDE 2023 written by Yusheng Jiao and published by Springer Nature. This book was released on 2023-11-26 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book.With the advent of economic globalization and the information technology revolution, especially the dawn of the era of network economy marked by the Internet, human society is embarking on a transition from an industrial society to an information society, and from industrial civilization to information civilization. In recent years, domestic Internet business has become more and more prosperous. In order to adapt to the development of the new media era, many traditional industries have extended their business to the Internet field. Among them, the most prominent is the financial business. Thanks to the operation of Internet business, the efficiency of financial services has been rapidly improved. However, the rapid development of the Internet has also brought certain practical problems that must be faced. This conference has therefore been convened in the hope of engaging in an in-depth exchange with scholars in the following aspects: Acquaint yourself with the development status of Internet finance and the digital economy in various countries and deepen the elaboration of the concept of financial Internet; Summarize the characteristics of Internet finance in the world and propose solutions to the problems faced by Internet finance; Understand academic development trends, broaden research ideas, strengthen academic research and discussion, and promote the industrialization cooperation of academic achievements; Promote the institutionalization and standardization of management science through modern research. The previous conference of ICIFDE took place in Guangzhou, China (Online). ICIFDE 2023 will come back this year on August 04–06 and it will provide a valuable and face-to-face opportunity for researchers, scholars and some scientists to exchange their ideas. Distinguished by its strong organizational team, dependable reputation and prestigious sponsors across the globe, ICIFDE 2023 is an annual conference on Internet Finance and the Digital Economy for all researchers, both domestic and international. ICIFDE started in 2021, and all papers accepted in the last session of ICIFDE have been successfully published. The 3rd International Conference on Internet Finance and Digital Economy (ICIFDE 2023) will be held in Chengdu, China on August 04–06, 2023. We warmly invite you to participate in ICIFDE 2023 and look forward to seeing you in Chengdu, China.

Download or read book Predicting Stock Market Returns by Combining Forecasts written by Laurence Fung and published by . This book was released on 2009 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: The predictability of stock market returns has been a challenge to market practitioners and financial economists. This is also important to central banks responsible for monitoring financial market stability. A number of variables have been found as predictors of future stock market returns with impressive in-sample results. Nonetheless, the predictive power of these variables has often performed poorly for out-of-sample forecast. This study utilises a new method known as quot;Aggregate Forecasting Through Exponential Re-weighting (AFTER)quot; to combine forecasts from different models and achieve better out-of-sample forecast performance from these variables. Empirical results suggest that, for longer forecast horizons, combining forecasts based on AFTER provides better out-of-sample predictions than the historical average return and also forecasts from models based on commonly used model selection criteria.

Download or read book Analysts Forecast Dispersion and Stock Returns in Hong Kong written by Chun Man Hung and published by . This book was released on 2008 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Analysis and Forecasting of Financial Time Series written by Jaydip Sen and published by Cambridge Scholars Publishing. This book was released on 2022-10-11 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together real-world cases illustrating how to analyse volatile financial time series in order to provide a better understanding of their past behavior and robust forecasting of their future behavioural patterns. Using time series data from diverse financial sectors, it shows how the concepts and techniques of statistical analysis, machine learning, and deep learning are applied to build robust predictive models, as well as the ways in which these models can be used for forecasting the future prices of stocks and constructing profitable portfolios of investments. All the concepts and methods used in the book have been implemented using Python and R languages on TensorFlow and Keras frameworks. The volume will be particularly useful for advanced postgraduate and doctoral students of finance, economics, econometrics, statistics, data science, computer science, and information technology.

Download or read book Stock Market Volatility written by Greg N. Gregoriou and published by CRC Press. This book was released on 2009-04-08 with total page 654 pages. Available in PDF, EPUB and Kindle. Book excerpt: Up-to-Date Research Sheds New Light on This Area Taking into account the ongoing worldwide financial crisis, Stock Market Volatility provides insight to better understand volatility in various stock markets. This timely volume is one of the first to draw on a range of international authorities who offer their expertise on market volatility in devel

Download or read book Macroeconometric Methods written by Pami Dua and published by Springer Nature. This book was released on 2023-04-08 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides empirical applications of macroeconometric methods through discussions on key issues in the Indian economy. It deals with issues of topical relevance in the arena of macroeconomics. The aim is to apply time series and financial econometric methods to macroeconomic issues of an emerging economy such as India. The data sources are given in each chapter, and students and researchers may replicate the analyses.The book is divided into three parts—Part I: Macroeconomic Modelling and Policy; Part II: Forecasting the Indian Economy and Part III: Business Cycles and Global Crises. It provides a holistic understanding of the techniques with each chapter delving into a relevant issue analysed using appropriate methods—Chapter 1: Introduction; Chapter 2: Macroeconomic Modelling and Bayesian Methods; Chapter 3: Monetary Policy Framework in India; Chapter 4: Determinants of Yields on Government Securities in India; Chapter 5: Monetar y Transmission in the Indian Economy; Chapter 6: India’s Bilateral Export Growth and Exchange Rate Volatility: A Panel GMM Approach; Chapter 7: Aggregate and Sectoral Productivity Growth in the Indian Economy: Analysis and Determinants; Chapter 8: Forecasting the INR/USD Exchange Rate: A BVAR Framework; Chapter 9: Forecasting India’s Inflation in a Data-Rich Environment: A FAVAR Study; Chapter 10: A Structural Macroeconometric Model for India; Chapter 11: International Synchronization of Growth Rate Cycles: An Analysis in Frequency Domain; Chapter 12: Inter-Linkages Between Asian and U.S. Stock Market Returns: A Multivariate GARCH Analysis; Chapter 13: The Increasing Synchronization of International Recessions. Since the selection of issues is from macroeconomic aspects of the Indian economy, the book has wide applications and is useful for students and researchers of fields such as applied econometrics, time series econometrics, financial econometrics, forecasting methods and macroeconomics.

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.