Title :
Bond rating: a nonconservative application of neural networks
Author :
Dutta, Soumitra ; Shekhar, Shashi
Author_Institution :
Div. of Comput. Sci., California Univ., Berkeley, CA, USA
Abstract :
The authors apply neural networks to a generalization problem of predicting the ratings of corporate bonds, where conventional mathematical modeling techniques have yielded poor results and it is difficult to build rule-based artificial-intelligence systems. The results indicate that neural nets are a useful approach to generalization problems in such nonconservative domains, performing much better than mathematical modeling techniques like regression.<>
Keywords :
neural nets; stock markets; bond rating; corporate bonds; neural networks; nonconservative application; Neural networks;
Conference_Titel :
Neural Networks, 1988., IEEE International Conference on
Conference_Location :
San Diego, CA, USA
DOI :
10.1109/ICNN.1988.23958
