Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Zimei Huang"'
Autor:
Zimei Huang, Zhenghui Li
Publikováno v:
AIMS Mathematics, Vol 9, Iss 4, Pp 8920-8939 (2024)
The impact of the digital economy on the ripple effect of financial risks has attracted attention. Based on the data of flow of funds statements (financial accounts), spanning from 2011 to 2020, the fund flow analysis method was used to build a model
Externí odkaz:
https://doaj.org/article/526fb059f5804581811f526b09cc98e6
Autor:
Wenjie Li, Zimei Huang
Publikováno v:
Electronic Research Archive, Vol 31, Iss 9, Pp 5573-5588 (2023)
Central bank digital currency (CBDC) signals affect the volatility of stock indices in different sectors differently. This paper aims to examine whether the CBDC signal plays a role on the volatility of different stock indices. First, we employ a tex
Externí odkaz:
https://doaj.org/article/75afc34d040644ebbff997b8d4ec3abb
Autor:
Zimei Huang, Zhenghui Li
Publikováno v:
Data Science in Finance and Economics, Vol 1, Iss 3, Pp 235-252 (2021)
Investor sentiment tends to show systemic bias on the market, and exerts a significant impact on future market fluctuations, which tends to form an amplified feedback effect. This paper selects three different types of data, namely the emotional text
Externí odkaz:
https://doaj.org/article/29eb4f97f0a24d80ab6e505bda866732
Publikováno v:
National Accounting Review, Vol 1, Iss 1, Pp 16-27 (2019)
The existing literature on the measurement of total factor productivity (TFP) only considers capital and labour input, ignoring resource and environmental factors. This paper takes resource and environmental factors into the framework of TFP measurem
Externí odkaz:
https://doaj.org/article/d33719f4d6d14df5aa9b7b7dabc77127
Publikováno v:
Energies, Vol 15, Iss 3, p 687 (2022)
This paper aims to explore the dynamic relationships between the crude oil price (shocks) and investor sentiment. Specifically, this paper utilizes web crawler to construct Chinese investor sentiment index. The structural vector autoregression (SVAR)
Externí odkaz:
https://doaj.org/article/5c9695fc37d74f26876ee3a8668a9ba6
Autor:
Zhenghui Li, Zimei Huang
Publikováno v:
Data Science in Finance and Economics, Vol 1, Iss 3, Pp 235-252 (2021)
Investor sentiment tends to show systemic bias on the market, and exerts a significant impact on future market fluctuations, which tends to form an amplified feedback effect. This paper selects three different types of data, namely the emotional text
Publikováno v:
Mathematical Problems in Engineering, Vol 2020 (2020)
The conversion from conventional to new driving forces and their time-varying characteristics are of great importance to China’s economic transformation. In this paper, we attempt to investigate the economic growth driving force conversion in China
Publikováno v:
Energy Economics. 119:106545
Publikováno v:
Emerging Markets Finance and Trade. 56:1237-1250
The characteristics and dependence structures of financial cycles have become a central issue in macroeconomic policy. Our study quantifies the dependence of financial cycles in emerging and develo...
Publikováno v:
International Journal of Environmental Research and Public Health
Huang, Z, Li, T & Xu, M 2020, ' Are there heterogeneous impacts of national income on mental health? ', International Journal of Environmental Research and Public Health, vol. 17, no. 20, 7530 . https://doi.org/10.3390/ijerph17207530
International Journal of Environmental Research and Public Health, Vol 17, Iss 7530, p 7530 (2020)
Volume 17
Issue 20
Huang, Z, Li, T & Xu, M 2020, ' Are there heterogeneous impacts of national income on mental health? ', International Journal of Environmental Research and Public Health, vol. 17, no. 20, 7530 . https://doi.org/10.3390/ijerph17207530
International Journal of Environmental Research and Public Health, Vol 17, Iss 7530, p 7530 (2020)
Volume 17
Issue 20
Understanding heterogeneous impact and mechanisms between national income and mental health are crucial to develop prevention and intervention strategies. Based on panel data from 2007 to 2017, this study explores the heterogeneous impact of national