| Article ID: | iaor199527 |
| Country: | Netherlands |
| Volume: | 19 |
| Start Page Number: | 55 |
| End Page Number: | 62 |
| Publication Date: | Oct 1993 |
| Journal: | Information and Decision Technologies |
| Authors: | Mohapatra P.K.J., Srinivasan S., Rawani A.M., Mohapatra D.K., Metha M.S., Rao G.P. |
| Keywords: | finance & banking |
Forecasting of share and currency prices has always been a challenging problem. In this paper, the Walsh function and neural network techniques are used to make separate forecasts of price movements. A fail-safe trading strategy is thereafter presented. This strategy is based on the consideration of the similarity of the current trends in these two forecasts. The use of this strategy is illustrated with the help of a small set of price data.