Exchange Stock Price Prediction using Time Series data: A Survey
Journal: Pakistan Journal of Humanities and Social Sciences (Vol.11, No. 2)Publication Date: 2023-04-12
Authors : Hamid Ghous Mubasher H Malik Ayesha Mahrukh Abdul Mueed Zaffar;
Page : 1139-1154
Keywords : Stock Exchange; Time Series Data; Price Prediction; Machine Learning; Deep Learning;
Abstract
Stocks, which are ownership shares in the company, can be issued and traded on the platform known as a stock exchange by publicly traded companies. A centralized marketplace is provided by a stock exchange where stocks can be traded by buyers and sellers coming together, thereby ensuring liquidity and price transparency. Large studies have been conducted for a long time in regions such as foreign exchange, stock prices, and weather reviews where time series forecasting information has been comprised. In our research work, we will use time series data because time series allows us to compare what elements have an effect on certain variables from time to time. The primary goal of this review paper is to provide a comprehensive overview of the research conducted by various scholars on predicting stock market prices using time series data. Evaluating time series data can provide valuable insights into the changes in a particular asset, security, or financial variable over time. Forecasting techniques using time series analysis are employed in both fundamental and technical analysis.
Other Latest Articles
- Labor Productivity of Home Based and Outdoor Working Women in Pakistan: An Implications from Human and Social Capital
- Islamic Fund Managers' Market Timing Abilities and their Impact on Fund Performances
- The Significance of Artificial Intelligence in Business and Accounting: A Bibliometric Analysis
- Brand Consciousness, Social Comparison and Materialism amongst Teenagers
- Comparing Effects of Green Innovation and Renewable Energy on Green Economy: The Metrics of Green Economy as Nucleus of SDGs
Last modified: 2023-12-05 19:23:09