Prediction the Return Fluctuations with Artificial Neural Networks' Approach
Journal Title: Advances in Mathematical Finance and Applications - Year 2019, Vol 4, Issue 2
Abstract
Time changes of return, inefficiency studies performed and presence of effective factors on share return rate are caused development modern and intelligent methods in estimation and evaluation of share return in stock companies. Aim of this research is prediction of return using financial variables with artificial neural network approach. Therefore, the statistical population of this study includes 120 listed companies in Tehran stock securities during 2005 to 2017. Independent variables in this research are market variables (Earning quality, free cash flow) and dependent variable is share return. The obtained outputs from estimation of the artificial neural networks and results obtained from estimation, using of this method with evaluation scales concerning random amount and comparing it with adjusted R, we found that there is meaningful relation between the associated variables and return. However, such network has the least error than other networks.
Authors and Affiliations
Masoud Taherinia, Mohsen Rashidi Baghi
Keywords
Related Articles
- EP ID EP658568
- DOI 10.22034/amfa.2019.580643.1149
- Views 62
- Downloads 0
Examining the Relationship between Corporate Governance and the Corporate Performance Valuation
The aim of this study was to investigate the relationship between corporate governance characteristics and valuation of the firm's performance in Iran. After designing performance evaluation indexes, information of trans...
An Analysis of the Repeated Financial Earthquakes
Since the seismic behavior of the earth’s energy (which follows from the power law distribution) can be similarly seen in the energy realized by the stock markets, in this paper we consider a statistical study for compar...
Application of HS Meta-heuristic Algorithm in Designing a Mathematical Model for Forecasting P/E in the Panel Data Approach
In financial markets such as Tehran Stock Exchange, P/E coefficient, which is one of the most well-known instruments for evaluating stock prices in financial markets, is considered necessary for shareholders, investors,...
Evaluation of the association between company performance and Iran’s stock market liquidity
This research studies the companies’ effectiveness and performance relationship with stock market liquidity in Tehran Stock Exchange during 2010-2015. Simultaneously, in the study, the three indicators: return on assets,...
Investigating the effect of rounding and revision in predicting earnings per share on investors' attention
Because in the theory of economics, the value of a company is based on the current value of future cash flows and profit is used as a substitute for cash flows, profit forecasting is of particular importance. In the rese...