An up-trend detection using an auto-associative neural network: KOSPI 200 futures

1Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We propose a neural network based up-trend detector. An auto-associative neural network was trained with “up-trend” data obtained from the KOSPI 200 future price. It was then used to predict an up-trend. Simple investment strategies based on the detector achieved a two year return of 19.8% with no leverage.

Cite

CITATION STYLE

APA

Baek, J., & Cho, S. (2002). An up-trend detection using an auto-associative neural network: KOSPI 200 futures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2412, pp. 359–365). Springer Verlag. https://doi.org/10.1007/3-540-45675-9_53

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free