Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Yulei Rao"'
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
The transition to a green, sustainable economy is largely reliant on corporate investment in the realm of environmental protection. Utilizing the adoption of the third phase of the Golden Tax Project (GTPIII) in China as a quasi-natural experiment, t
Externí odkaz:
https://doaj.org/article/93e787fc5b2b45a4960173c8a634ad62
Publikováno v:
PLoS ONE, Vol 15, Iss 11, p e0241573 (2020)
Construction of a reliable stock portfolio remains an open issue in quantitative investment. Multiple machine learning models have been trained for stock portfolio selection, but their practical applicability remains limited due to the challenges pos
Externí odkaz:
https://doaj.org/article/3b6f107c1602434a99e3d5f9fbafaed1
Publikováno v:
PLoS ONE, Vol 12, Iss 7, p e0180944 (2017)
The application of deep learning approaches to finance has received a great deal of attention from both investors and researchers. This study presents a novel deep learning framework where wavelet transforms (WT), stacked autoencoders (SAEs) and long
Externí odkaz:
https://doaj.org/article/67300dc382c84d7d9dc1fd2c3431b4f4
Publikováno v:
Abstract and Applied Analysis, Vol 2013 (2013)
The convertible bonds usually have multiple additional provisions that make their pricing problem more difficult than straight bonds and options. This paper uses the binary tree method to model the finance market. As the underlying stock prices and t
Externí odkaz:
https://doaj.org/article/4395f245361e4c599b006525d138afe9
Publikováno v:
International Review of Financial Analysis. 87:102616
Publikováno v:
Economics Letters. 225:111046
Publikováno v:
International Review of Financial Analysis. 85:102465
Publikováno v:
International Review of Economics. 66:423-452
Mobile Internet has become a popular channel for investors to share their information and ideas about investment. This paper investigates the relation between frequency of mobile Internet messages and subsequent stock returns. We find that firms with
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 11, p e0241573 (2020)
PLoS ONE, Vol 15, Iss 11, p e0241573 (2020)
Construction of a reliable stock portfolio remains an open issue in quantitative investment. Multiple machine learning models have been trained for stock portfolio selection, but their practical applicability remains limited due to the challenges pos
Publikováno v:
Journal of Neuroscience, Psychology, and Economics. 11:57-61