A monetary policy prediction model based on deep learning-Reference-Cited by-同舟云学术

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A monetary policy prediction model based on deep learning

Published:2019-06-27 Issue:10 Volume:32 Page:5649-5668
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Lu Minrong^ORCID

Funder

Department of Education, Fujian Province

Project of Fujian Social Science Planning and Research

Major Project of Fujian Provincial Social Science

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-019-04319-1.pdf

Reference56 articles.

1. Black SE, Devereux PJ, Lundborg P (2017) On the origins of risk-taking in financial markets. J Financ 72(5):100–105

2. Riccioni J, Cerqueti R (2018) Regular paths in financial markets: investigating the Benford’s law. Chaos Solitons Fractals 107:186–194

3. Lin EMH, Sun EW, Yu MT (2018) Systemic risk, financial markets, and performance of financial institutions. Ann Oper Res 262(2):579–603

4. Lengnick M, Wohltmann HW (2016) Optimal monetary policy in a new Keynesian model with animal spirits and financial markets. J Econ Dyn Control 64:148–165

5. Dafermos Y, Nikolaidi M, Galanis G (2018) Climate change, financial stability and monetary policy. Ecol Econ 152:219–234

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