Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Amanda M Y Chu"'
Publikováno v:
Data Science in Science, Vol 3, Iss 1 (2024)
In financial markets, systemic risk is a type of risk in which the failure of one stock in the market triggers a sequence of failures. Our study proposes a Bayesian decision scheme to dynamically monitor systemic risk under any preferences and restri
Externí odkaz:
https://doaj.org/article/bf7e4aaebd0041028696ae82f75084d8
Autor:
Amanda M. Y. Chu, Benson S. Y. Lam, Jenny T. Y. Tsang, Agnes Tiwari, Helina Yuk, Jacky N. L. Chan, Mike K. P. So
Publikováno v:
npj Mental Health Research, Vol 2, Iss 1, Pp 1-9 (2023)
Abstract The stress burden generated from family caregiving makes caregivers particularly prone to developing psychosocial health issues; however, with early diagnosis and intervention, disease progression and long-term disability can be prevented. W
Externí odkaz:
https://doaj.org/article/e706e511583b4c9c9f576faee82bcd72
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract Systemic risk in financial markets refers to the breakdown of a financial system due to global events, catastrophes, or extreme incidents, leading to huge financial instability and losses. This study proposes a dynamic topic network (DTN) ap
Externí odkaz:
https://doaj.org/article/bb0ed79450134a4abaffb358cc3eb470
Publikováno v:
PLoS ONE, Vol 18, Iss 10, p e0292327 (2023)
The study of assortativity allows us to understand the heterogeneity of networks and the implication of network resilience. While a global measure has been predominantly used to characterize this network feature, there has been little research to sug
Externí odkaz:
https://doaj.org/article/c0282fc628c844a29a57d85ef8da2fe6
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0279888 (2023)
Systemic risk refers to the uncertainty that arises due to the breakdown of a financial system. The concept of "too connected to fail" suggests that network connectedness plays an important role in measuring systemic risk. In this paper, we first rec
Externí odkaz:
https://doaj.org/article/6753799d93e04c5398e5cdaa4ddffa07
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
Abstract The spread of coronavirus disease 2019 (COVID-19) has caused more than 80 million confirmed infected cases and more than 1.8 million people died as of 31 December 2020. While it is essential to quantify risk and characterize transmission dyn
Externí odkaz:
https://doaj.org/article/fbcff1f4ca4b455d86aca1cb06c77886
Publikováno v:
PLoS ONE, Vol 17, Iss 1, p e0261969 (2022)
During the 2019 novel coronavirus disease (COVID-19) pandemic, many employees have switched to working from home. Despite the findings of previous research that working from home can improve productivity, the scale, nature, and purpose of those studi
Externí odkaz:
https://doaj.org/article/a7b6fbc162b443628043d2c92bb9bad3
Publikováno v:
Education Sciences, Vol 11, Iss 8, p 446 (2021)
The global coronavirus disease (COVID-19) outbreak forced a shift from face-to-face education to online learning in higher education settings around the world. From the outset, COVID-19 online learning (CoOL) has differed from conventional online lea
Externí odkaz:
https://doaj.org/article/6ba25281c911481a9ff49823a11c0338
Publikováno v:
Journal of Econometrics. 227:151-167
This paper aims to explore a modified method of high-dimensional dynamic variance–covariance matrix estimation via risk factor mapping, which can yield a dependence estimation of asset returns within a large portfolio with high computational effici
Publikováno v:
Informatics for Health and Social Care. 47:211-222
This study examined the association between caregivers' burdens and their individual characteristics and identified characteristics that are useful for predicting the level of caregiver burden. We successfully surveyed 387 family caregivers, having t