Using Neural Network to forecast foreign exchange rates
This study examined the ability of the neural network model to forecast bilateral exchange rate between Singapore and the United States. Forecasts as at the end of each month were generated for the period from February 1994 to July 1998. To determine the optimum model to adopt for the forecast of fo...
Saved in:
Main Authors: | Chua, Daniel Pak Chong., Ng, Chi Wei., Tan, Hai Lek. |
---|---|
Other Authors: | Lim, Boon Chye |
Format: | Final Year Project |
Published: |
2008
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/10764 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Similar Items
-
Foreign Exchange Reform In China.
by: Cheong Chun Wai, Lee Beng Teck, Ng Yew Hock
Published: (2014) -
Foreign exchange and its derivatives.
by: Tan, Cindy Tiam Hon.
Published: (2009) -
Foreign exchange exposure of Singapore companies
by: Au, Gregory Chee Hoe, et al.
Published: (2008) -
Profitability of the Bollinger Star strategy in Foreign Exchange markets.
by: Ho, Degen., et al.
Published: (2009) -
Comparison of exchange rate volatility in the spot and forward markets.
by: Lim, Raymond Kiat Jiang., et al.
Published: (2008)