Time Series Forecasting in Stock Trading Markets
نویسندگان
چکیده
منابع مشابه
Informed Trading in Stock and Option Markets
We investigate the contribution of option markets to price discovery, using a modification of Hasbrouck’s (1995) “information share” approach. Based on five years of stock and options data for 60 firms, we estimate the option market’s contribution to price discovery to be about 17% on average. Option market price discovery is related to trading volume and spreads in both markets, and stock vola...
متن کاملDoes Foreign Trading Destabilize Local Stock Markets?
This paper investigates the impact of foreign trading on short term volatility and on the correlation of local with world returns. I find that trading in general is associated with higher volatility, whether it is trading by foreigners or domestic investors. However, controlling for total trading volume, foreign trading has no impact on volatility in developed countries, and only a marginally s...
متن کاملMultilayer Stock Forecasting Model Using Fuzzy Time Series
After reviewing the vast body of literature on using FTS in stock market forecasting, certain deficiencies are distinguished in the hybridization of findings. In addition, the lack of constructive systematic framework, which can be helpful to indicate direction of growth in entire FTS forecasting systems, is outstanding. In this study, we propose a multilayer model for stock market forecasting ...
متن کاملFuzzy dual-factor time-series for stock index forecasting
There is an old Wall Street adage goes, ‘‘It takes volume to make price move”. The contemporaneous relation between trading volume and stock returns has been studied since stock markets were first opened. Recent researchers such as Wang and Chin [Wang, C. Y., & Chin S. T. (2004). Profitability of return and volume-based investment strategies in China’s stock market. Pacific-Basin Finace Journal...
متن کاملForecasting Chaotic Stock Market Data using Time Series Data Mining
An important financial subject that has attracted researchers' attention for many years is forecasting stock return. Many researchers have contributed in this area of chaotic forecast in their ways. Among them data mining techniques have been successfully shown to generate high forecasting accuracy of stock price movement. Nowadays, instead of a single aspects of stock market, traders need...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Research in Business and Social Science (2147-4478)
سال: 2019
ISSN: 2147-4478
DOI: 10.20525/ijrbs.v8i4.283