A dynamic target volatility strategy for asset allocation using artificial neural networks

Author:

Kim Youngmin1,Enke David2

Affiliation:

1. Department of Bigdata Engineering, Soonchunhyang University, Shinchang-myeon, Asan-si, Chungcheongnam-do, South Korea

2. Engineering Management and Systems Engineering, Missouri University of Science and Technology, Rolla, MO, USA

Publisher

Informa UK Limited

Subject

Economics and Econometrics,General Engineering,Education

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. How to fly to safety without overpaying for the ticket;Economics and Business Review;2023-07-20

2. Use of Machine Learning in Volatility: A Review Using K-Means;Revista Universidad y Empresa;2023-06-23

3. A Simulation-Based Decision-Making Approach to Evaluate the Returns on Investments;International Journal of Simulation Modelling;2022-09-15

4. False Safe Haven Assets: Evidence From the Target Volatility Strategy Based on Recurrent Neural Network;Research in International Business and Finance;2022-04

5. The volatility target effect in investment-linked products with embedded American-type derivatives;Investment Management and Financial Innovations;2019-07-29

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