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Author: David C. Cole Publisher: Oxford University Press ISBN: 0195360745 Category : Business & Economics Languages : en Pages : 485
Book Description
The countries of East and Southeast Asia have the world's most dynamic money markets. Essential to the Asian economy, their performance plays a crucial role in the successful development of other financial markets, such as those for business and consumer loans. This original study of the effect of government policy on the performance of money markets in the economies of this region (Hong Kong, Indonesia, Japan, Malaysia, the Philippines, Singapore, and South Korea) is the only comprehensive book addressing this topic available today. Individual chapters were written by experts in the field, and were guided by a common research methodology. This book will be of great value to Pacific Basin specialists, bankers, academics, and public policy planners in finance.
Author: Ewald Ebing Publisher: BRILL ISBN: 9004486577 Category : Reference Languages : en Pages : 1048
Book Description
This is an odd book. An extensive and sometimes annotated bibliography, it is not a book in the sense of a narrative. However, if treated as a book in the traditional sense it leads the reader through a broad spectrum of feelings of amazement, curiosity and desire: amazement about the sheer volume, richness and detail of theliterature on Batavia/Jakarta; curiosity about the contents of certain publications or series of publications with attractive titles; and a feeling of desire immediately to begin an investigation into one of the appealing subjects stumbled upon while leafing through. The bibliography contains over 5000 titles classified into 42 broad subject categories. The vast majority of the publications consists of books, but the number of articles is also very substantial. Most of these titles (3500) were produced after 1950. The larger part of the publications are written in Indonesian, Dutch, and to a lesser extent English. But also publications in such languages as French, Chinese, German, Japanese, Russian, and many others were listed. Indexes of authors, of subjects and of titles make this bibliography easily accessible.
Author: Nazif AYYILDIZ Publisher: Özgür Publications ISBN: 975447821X Category : Business & Economics Languages : en Pages : 121
Book Description
The book titled "Prediction of Stock Market Index Movements with Machine Learning" focuses on the performance of machine learning methods in forecasting the future movements of stock market indexes and identifying the most advantageous methods that can be used across different stock exchanges. In this context, applications have been conducted on both developed and emerging market stock exchanges. The stock market indexes of developed countries such as NYSE 100, NIKKEI 225, FTSE 100, CAC 40, DAX 30, FTSE MIB, TSX; and the stock market indexes of emerging countries such as SSE, BOVESPA, RTS, NIFTY 50, IDX, IPC, and BIST 100 were selected. The movement directions of these stock market indexes were predicted using decision trees, random forests, k-nearest neighbors, naive Bayes, logistic regression, support vector machines, and artificial neural networks methods. Daily dataset from 01.01.2012 to 31.12.2021, along with technical indicators, were used as input data for analysis. According to the results obtained, it was determined that artificial neural networks were the most effective method during the examined period. Alongside artificial neural networks, logistic regression and support vector machines methods were found to predict the movement direction of all indexes with an accuracy of over 70%. Additionally, it was noted that while artificial neural networks were identified as the best method, they did not necessarily achieve the highest accuracy for all indexes. In this context, it was established that the performance of the examined methods varied among countries and indexes but did not differ based on the development levels of the countries. As a conclusion, artificial neural networks, logistic regression, and support vector machines methods are recommended as the most advantageous approaches for predicting stock market index movements.
Author: Njoman Suwidjana
Author: Njoman Suwidjana
Author: Anwar Nasution
Author: David C. Cole
Author: William H. Frederick
Author: Ewald Ebing
Author: Philippe Régnier
Author: Michael T. Skully
Author: IBP USA
Author: Nazif AYYILDIZ
Author: Roy Mitchell