Zobrazeno 1 - 10 of 50 pro vyhledávání: '"Woon Seek Lee"'
1
Akademický článek
The game of lies by stock investors in social media: a study based on city lockdowns in China
Autor: Qing Liu, Hosung Son, Woon-Seek Lee
Publikováno v: Financial Innovation, Vol 10, Iss 1, Pp 1-37 (2024)
Abstract The potential hypotheses for finance research based on social media sentiment revolve around the reliability of investor sentiment expressed on social media and the causal relationship between financial markets and this sentiment. The centra
Externí odkaz: https://doaj.org/article/137a6ef3523b407f9d8d926cafe3ebef
Zobrazit plný text záznamu
2
Akademický článek
Synergy between stock prices and investor sentiment in social media
Autor: Qing Liu, Woon-Seek Lee, Minghao Huang, Qingjun Wu
Publikováno v: Borsa Istanbul Review, Vol 23, Iss 1, Pp 76-92 (2023)
The underlying assumption of using investor sentiment to predict stock prices, stock market returns, and liquidity is that of synergy between stock prices and investor sentiment. However, this synergistic relationship has received little attention in
Externí odkaz: https://doaj.org/article/127372c36ee84e6b913f699aaf6795af
Zobrazit plný text záznamu
3
Akademický článek
The dispositional effects of holidays on investor sentiment: Therapeutic and hygienic
Autor: Qing Liu, Minghao Huang, Lilu Zhao, Woon-Seek Lee
Publikováno v: Journal of Innovation & Knowledge, Vol 8, Iss 2, Pp 100358- (2023)
Research in behavioral finance has shown that holidays affect investor sentiment, which in turn affects stock market returns and stock prices. These studies have focused on the relationship between holidays and stock prices and stock market returns,
Externí odkaz: https://doaj.org/article/b2c4b3d19f7946b8b23c0538b100d44d
Zobrazit plný text záznamu
4
Akademický článek
A set of time‐series classification datasets based on the average price of concrete in major Chinese cities
Autor: Qing Liu, Minghao Huang, Woon‐Seek Lee, Yamin Du
Publikováno v: Engineering Reports, Vol 4, Iss 11, Pp n/a-n/a (2022)
Abstract Time series classification (TSC) is an important and challenging problem in data mining. Time series data sets are an important basis for this research and are widely used in baseline verification of various algorithm models. Aiming at the p
Externí odkaz: https://doaj.org/article/d5e11201451046d3954994cc2491d2df
Zobrazit plný text záznamu
8
Nonlinear Associations between Medical Expenditure, Perceived Medical Attitude, and Sociodemographics, and Older Adults’ Self-Rated Health in China: Applying the Extreme Gradient Boosting Model
Autor: Yuqing Liang, Wanwan Zheng, Woon-Seek Lee
Publikováno v: Healthcare, Vol 10, Iss 39, p 39 (2022)
Healthcare
Healthcare; Volume 10; Issue 1; Pages: 39
Background: although China’s total health expenditure has been dramatically increased so that the country can cope with its aging population, inequalities among individuals in terms of their medical expenditures (relative to their income level) hav
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43aeb4439e5a223da41a2ffc28208895
https://www.mdpi.com/2227-9032/10/1/39
Zobrazit plný text záznamu
9
A Time Series Classification Dataset Based on the Average Price of Concrete in major Cities in China
Autor: Qing Liu, Woon-Seek Lee, Min Du
Time series classification (TSC) is an important and challenging problem in data mining. Time series data sets are an important basis for this research and are widely used in baseline verification of various algorithm models. Aiming at the problem th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::39175b54a6fd8c4277d8c01e65f1bd71
https://doi.org/10.22541/au.164747999.96626394/v1
Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání

Omezení vyhledávání
Plný text Recenzováno Digitální knihovna AV ČR
Zdroje