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Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Equilibrium Approach ♦ White-noise Hypothesis ♦ Share Price Movement ♦ Share Price ♦ Unity Value ♦ Predictive Value ♦ Downward Movement Several Issue ♦ White Noise Variable ♦ Predictive Power ♦ Interest Rate ♦ Secondary Source ♦ Much Interest ♦ Second Equation ♦ Irrational Factor ♦ White Noise ♦ Upward Movement ♦ Serious Measurement ♦ Impact Variable ♦ Independent Variable ♦ Regression Model ♦ Mentioned Factor ♦ Time Market Player ♦ Market Value ♦ White Noise Coefficient ♦ Stock Market ♦ Key Word ♦ Error Term ♦ Multiple Regression Analysis ♦ Effective Prediction Purpose
Abstract Over time market players have developed much interest in factors that bring about movement or change in share price in the stock market either upward movement or downward movement several issues have been adduced for this over the years, some of which are rational and some are said to be irrational factors for the purpose of this study this is called market-noise or white-noise. The problem is that all the mentioned factors can be measured or have been measured one way or the other except the white noise that seems no one have provided any serious measurement for, thus, in this study an attempt is made to test this factor. The secondary source of data was used for the purpose of the analysis and a multiple regression analysis was adopted. The researcher made use of the equilibrium approach for the analysis. The equilibrium approach assume a unity value for the analysis. The regression model derived in first and second equations were tested and the result shows that the white-noise will improve the coefficient of the impact variables when used and that the predictive power of the model becomes more realistic with the inclusion of the white noise variables than when excluded. Also the error term reduced drastically with the inclusion of the white-noise variable making the equation of a stronger predictive value. It was therefore recommended that white noise coefficient be included when measuring the impact of the independent variable on the market values of share for effective prediction purpose. Key words: Share price, white-noise, earning, interest rate.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study