Journal of Mathematical Finance

Vol.9 No.3(2019), Paper ID 93558, 6 pages

DOI:10.4236/jmf.2019.93015

 

Possibility for Short-Term Forecasting of Japanese Stocks Return by Randomly Distributed Embedding Theory

 

Seisuke Sugitomo, Keiichi Maeta

 

Fund Manager at Epic Partners Investment Co., Ltd., Tokyo, Japan
Graduate School of Mathematical Sciences, University of Tokyo, Tokyo, Japan

 

Copyright © 2019 Seisuke Sugitomo, Keiichi Maeta et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


Sugitomo, S. and Maeta, K. (2019) Possibility for Short-Term Forecasting of Japanese Stocks Return by Randomly Distributed Embedding Theory. Journal of Mathematical Finance, 9, 266-271. doi: 10.4236/jmf.2019.93015.

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