Empirical Finance
The research field related to finance has made great progress in recent years due to the development of information processing technology and the availability of large-scale data. This special issue is a collection of 16 articles on empirical finance and one book review. The content is six articles...
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2020-01-01
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| Series: | Journal of Risk and Financial Management |
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| Online Access: | https://www.mdpi.com/1911-8074/13/1/6 |
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doaj-26cff9bbb38240bca19293b087ac10f32020-11-25T02:13:03ZengMDPI AGJournal of Risk and Financial Management1911-80742020-01-01131610.3390/jrfm13010006jrfm13010006Empirical FinanceShigeyuki Hamori0Graduate School of Economics, Kobe University, 2-1, Rokkodai, Kobe 657-8501, JapanThe research field related to finance has made great progress in recent years due to the development of information processing technology and the availability of large-scale data. This special issue is a collection of 16 articles on empirical finance and one book review. The content is six articles on machine learning, five articles based on traditional econometric analysis, and five articles on emerging markets. The large share of articles on the application of machine learning is in line with recent trends in finance research. This special issue provides a state-of-the-art overview of empirical finance from economic, financial, and technical points of view.https://www.mdpi.com/1911-8074/13/1/6machine learningartificial intelligencefinancial econometricsemerging markets |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Shigeyuki Hamori |
| spellingShingle |
Shigeyuki Hamori Empirical Finance Journal of Risk and Financial Management machine learning artificial intelligence financial econometrics emerging markets |
| author_facet |
Shigeyuki Hamori |
| author_sort |
Shigeyuki Hamori |
| title |
Empirical Finance |
| title_short |
Empirical Finance |
| title_full |
Empirical Finance |
| title_fullStr |
Empirical Finance |
| title_full_unstemmed |
Empirical Finance |
| title_sort |
empirical finance |
| publisher |
MDPI AG |
| series |
Journal of Risk and Financial Management |
| issn |
1911-8074 |
| publishDate |
2020-01-01 |
| description |
The research field related to finance has made great progress in recent years due to the development of information processing technology and the availability of large-scale data. This special issue is a collection of 16 articles on empirical finance and one book review. The content is six articles on machine learning, five articles based on traditional econometric analysis, and five articles on emerging markets. The large share of articles on the application of machine learning is in line with recent trends in finance research. This special issue provides a state-of-the-art overview of empirical finance from economic, financial, and technical points of view. |
| topic |
machine learning artificial intelligence financial econometrics emerging markets |
| url |
https://www.mdpi.com/1911-8074/13/1/6 |
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AT shigeyukihamori empiricalfinance |
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