An Investment Decision-Making Process Model of Online Investors

2012 ◽  
Vol 15 (1) ◽  
pp. 66-69
Author(s):  
Chien-Chih Tu ◽  
An-Pin Chen
1998 ◽  
Vol 13 (1) ◽  
pp. 3-14 ◽  
Author(s):  
Joan Ballantine ◽  
Stephanie Stray

This paper explores the techniques used by organizations to appraise Information Systems (IS)/Information Technology (IT) investments, and concentrates, in particular, on techniques of capital investment appraisal. We draw on relevant studies reported in both the accounting and finance, and the IS literature, which have addressed their usage. Where possible comparisons are drawn between both sets of literatures. The results of a survey that specifically examined IS/IT investment appraisal practices of a sample of UK companies is also presented. Among the issues discussed include the extent to which capital investment appraisal techniques are used to appraisal investments, the importance of the techniques used and the problems attendant on the decision making process.


2020 ◽  
Vol 9 (1) ◽  
pp. 105-108
Author(s):  
Suraj Bhujel

It is believed that financial statements are the key documents for any organizations for the investment decision making. Investment decision making depends upon the quality information obtained by the various sources and it is concluded in this research which is based on the findings that financial statement plays a vital role in investment decision making and recommends that no investment decision should be taken without the consideration of a company’s financial statements.


2017 ◽  
Author(s):  
Ansari Saleh Ahmar

The purpose of this study is to apply technical analysis e.g. Sutte Indicator in Stock Market that will assist in the investment decision-making process to buy or sell of stocks. This study took data from Apple Inc. which listed in the NasdaqGS in the period of 1 January 2008 to 26 September 2016. Performance of the Sutte Indicator can be seen with comparison with other technical analysis e.g. Simple Moving Average (SMA) and Moving Average Convergence/Divergence (MACD). Comparison of the reliability of prediction from Sutte Indicator, SMA, and MACD using the mean of square error (MSE), mean absolute deviation (MAD) and mean absolute percentage error (MAPE).


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