Tracking federal funds target rate movements using artificial neural networks
Date of Issue2008
School of Electrical and Electronic Engineering
The Federal Reserve determines federal funds target rate (FFTR), which is one of the most publicized and anticipated economic indicator in the financial world. As the decision making process is complex due to unknown functions, it has been a difficult and challenging process for the researcher to model the thoughts of the FOMC members using statistical methods and hence predict the changes in FFTR. With artificial neural networks evolving as an efficient and promising methodology, it is possible to emulate the decision making of FOMC.
DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems