Fuzzy portfolio optimization under downside risk measures
Fuzzy Sets and Systems
Customer-perceived value of e-financial services: a means-end approach
International Journal of Electronic Finance
International Journal of Electronic Finance
Prediction of corporate financial health by Artificial Neural Network
International Journal of Electronic Finance
The importance of information technologies in the ability of fund managers to time the market
International Journal of Electronic Finance
International Journal of Electronic Finance
Hedging with derivatives by Taiwanese listed non-financial companies
International Journal of Electronic Finance
Use of distributed computing in derivative pricing
International Journal of Electronic Finance
Financial implications of artificial Neural Networks in automobile insurance underwriting
International Journal of Electronic Finance
Financial reporting comparability: toward an XBRL ontology of the FASB/IFRS conceptual framework
International Journal of Electronic Finance
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Today's uncertain and volatile market conditions require investors to utilise Information Technology (IT) to drive future investment decisions through correct analysis and judgement. Based upon this setting, this study investigates the effectiveness of the portfolio selection model by incorporating the mean-variance approach and the investor's judgement vector. Based upon 128 samples of stocks which were randomly selected from the Bursa Malaysia and studied for the period 2000 2008, the results suggest that the model is efficient in improving portfolio diversification benefits by maximising portfolio returns and minimising risk. Theoretical and practical implications are provided in light of the findings.