Adetokunbo Fadahunsi

Dr. Adetokunbo Fadahunsi

George Mason University

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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NBNathan Burks
Nathan Burks
AFAdetokunbo Fadahunsi
Adetokunbo Fadahunsi
AHAnn Marie Hibbert
Ann Marie Hibbert
The primary purpose of the study is to identify and measure the properties of asset bubbles, volatility clustering, and financial contagion during three recent financial market anomalies that originated in the U.S. and Chinese markets. In particular, we focus on the 2000 DotCom Bubble, the 2008 Housing Crisis, and the 2015 Chinese Bubble. We employ three main empirical methods; the LPPL model to identify asset bubbles, the DCC-GARCH model to measure volatility clustering, and the Diebold-Yilmaz volatility spillover index to measure the level of financial contagion. We provide robust evidence that during the DotCom bubble there was very limited spillover between the S&P 500, the Shanghai, and the Shenzhen Composite Indexes. However, there was significantly more spillover effects in the two more recent crises, i.e., the Housing crisis and the 2015 Chinese Bubble. Together, these results highlight the fact that as financial markets have become more globalized, there are greater levels of volatility transmission and correspondingly fewer potential benefits from international diversification.

22 November 2024 in Medicine
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Journal Article
Open access
AWAli A. Weinstein
Ali A. Weinstein
LALeyla Ba de Avila
Leyla Ba de Avila
AFAdetokunbo Fadahunsi
Adetokunbo Fadahunsi
JPJillian Kallman Price
Jillian Kallman Price
PGPegah Golabi
Pegah Golabi
ZYZobair M. Younossi
Zobair M. Younossi
Modifiable risk factors associated with cognitive functioning are important for identifying potential targets for intervention development. Although there are a few recognized modifiable risk factors (e.g., diabetes mellitus, diet, physical activity), there are limitations in the conclusions that can be drawn due to limited data. Therefore, this study examined the relationship between modifiable liver disease-linked metabolic and behavioral factors in a sample of community dwelling adults who do not currently experience functional limitations due to cognitive abilities. Individuals aged 19 to 69 were recruited to participate in this cross-sectional study in the Washington, DC area. Participants were assessed using anthropometric measures, ultrasound of the liver, glycated hemoglobin A1C, self-reported fatigue, clinical history, and 7 domains of cognitive function: processing speed, short- and long-term visual memory, working memory, inhibition, shifting, and abstract reasoning. The study included 104 participants (44% female, 51.1 ± 13.5 years old). The modifiable factors that were most consistently related to cognitive performance were waist-to-height ratio, which was related to a decrease in performance in 4 of the domains (short-term and long-term visual memory, working memory, and abstract reasoning), and the presence of nonalcoholic fatty liver disease, which was related to an increase in performance in the same 4 domains. This study suggests that liver disease-linked modifiable factors are associated with cognitive performance, even in middle-aged individuals without self-reported cognitive dysfunction. Further research is needed to explore the mechanisms that impact cognitive performance in relation to these factors to establish early intervention targets for reducing future cognitive deficits.