Two-Branch Asymmetric Model with Alternately Clustering for Unsupervised Person Re-Identification

2021 ◽  
pp. 1-1
Author(s):  
Yangbin Yu ◽  
Ying Zeng ◽  
Haifeng Hu ◽  
Dihu Chen
Keyword(s):  
Cornea ◽  
2020 ◽  
Vol 39 (2) ◽  
pp. 155-160 ◽  
Author(s):  
Olivier Prisant ◽  
Elodie Pottier ◽  
Tony Guedj ◽  
Thanh Hoang Xuan

2021 ◽  
Vol 2 (4) ◽  
pp. 254-262
Author(s):  
Intan Surya Lesmana ◽  
Siti Saadah

This study aims to analyze the impact of the COVID-19 pandemic on Indonesia’s stock market performance. Considering the characteristics of daily stock return data that shows the characteristics of volatility clustering, the analytical method used is to develop a heteroscedastic model specification whose parameters are estimated using the maximum likelihood method. Based on data from March 2020 to January 2021, this study finds that the Exponential-GARCH asymmetric model is the best model compared to the Standard-GARCH symmetric model or the asymmetric Threshold-GARCH model. The inference analysis conducted on the Exponential-GARCH asymmetric model in this study shows that the stock market's performance that is significantly affected by this pandemic is the volatility of its returns. Stock price volatility is one of the important variables in stock market performance. This study produces empirical findings that government policies on social restrictions contribute significantly to suppressing stock market volatility. As for government policies in mitigating the risk of the spread of the epidemic, in this study, it is measured through a stringency index. This index was released by the Oxford COVID-19 Government Response Tracker (OxCGRT) which monitors the government's response to the coronavirus in 160 countries and is a parameter that evaluates the policies taken by a country's government based on nine metrics. This index does not measure the effectiveness of a country's government response, but only the level of tightness. However, the results of the tests carried out in this study did not find a significant impact of pandemic indicators, the number of cases, and the number of daily deaths related to COVID-19 on stock returns.


2016 ◽  
Vol 120 (33) ◽  
pp. 8438-8448 ◽  
Author(s):  
Jianhui Tian ◽  
Jonathan Nickels ◽  
John Katsaras ◽  
Xiaolin Cheng

2016 ◽  
Vol 62 (3) ◽  
pp. 496-528 ◽  
Author(s):  
Andre Rossi de Oliveira ◽  
João Ricardo Faria ◽  
Emilson C. D. Silva

We investigate how externalities and cooperation affect nations’ efforts to counter transnational terrorism activities. Our model captures three factors whose interplay determines counterterrorism (CT) efforts and terrorist activity: the size of the spillover effect, the degree of internalization of the externality, and whether nations’ CT efforts have an asymmetric or symmetric effect on the security of other nations. In our symmetric model, preemptive CT efforts and terrorist activities decrease with the size of the externality regardless of the degree of cooperation between nations. In our asymmetric model, as the externality of the “smaller” nation increases, the “larger” nations reduce their efforts, and the smaller nation reacts by increasing its own efforts. We also investigate coalition stability and show that (a) in the preemptive case, the full coalition is not stable and partial coalitions are stable for sufficiently small externalities; and (b) in the defensive, symmetric case, only the full coalition is stable.


2009 ◽  
Vol 284 (41) ◽  
pp. 28401-28409 ◽  
Author(s):  
Daniel Kress ◽  
Daniela Brügel ◽  
Iris Schall ◽  
Dietmar Linder ◽  
Wolfgang Buckel ◽  
...  
Keyword(s):  

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