This study investigates the simplicity and adequacy of tail-based risk measures—value-at-risk(VaR)and expected shortfall(ES)—when applied to tail targeting of the extreme value(EV)model.We implement Lévy-VaR and ES...
Value-at-Risk(VaR)and expected shortfall(ES)are two key risk measures in financial risk management.Comparing these two measures has been a hot debate,and most discussions focus on risk measure properties.This paper us...
supported by the Spanish Ministerio de Ciencia e Innovaciòn(PID 2020-112773 GB-I00);by Gobierno de Aragòn(ADETRE Reference GroupS39_20R).
We estimate the distribution of COVID-19 mortality(measured as daily deaths)from the start of the pandemic until July 31st,2022,for six European countries and the USA.We use the Pareto,the stretched exponential,the lo...
The authors received no financial support for the research,authorship,and/or publication of this article.
The last few years have seen a paradigm shift in the financial sector with the development of cryptocurrencies as an alternative mode of payment as well as an investment scheme.The aim of this study is two-fold.The fi...
supported by the National Natural Science Foundation of China(Grant Nos.61673019,11931018);the Natural Science Foundation of Guangdong Province(Grant Nos.2018A030313738,2021A1515010057);Guangdong Province Key Laboratory of Computational Science at the Sun Yat-sen University(2020B1212060032);IMR and RAE Research Fund,Faculty of Science,HKU.
We study the Markov decision processes under the average-value-at-risk criterion.The state space and the action space are Borel spaces,the costs are admitted to be unbounded from above,and the discount factors are sta...
The author Min Liu received the grant of the National Natural Science Foundation of China(http://www.nsfc.gov.cn/)(51967004).
With the application of phasor measurement units(PMU)in the distribution system,it is expected that the performance of the distribution system state estimation can be improved obviously with the PMU measurements into ...
In this paper we consider the problem of estimating expected shortfall(ES)for discrete time stochastic volatility(SV)models.Specifically,we develop Monte Carlo methods to evaluate ES for a variety of commonly used SV ...
supported by Natural Science Foundation of China and Jiangsu Province(No.11871050,No.11971342,No.11401414,No.BK20140299,No.14KJB110022)。
G-VaR,which is a type of worst-case value-at-risk(VaR),is defined as measuring risk incorporating model uncertainty.Compared with most extant notions of worst-case VaR,G-VaR can be computed using an explicit formula,a...
This study investigates the volatility in daily stock returns for Total Nigeria Plc using nine variants of GARCH models:sGARCH,girGARCH,eGARCH,iGARCH,aGARCH,TGARCH,NGARCH,NAGARCH,and AVGARCH along with value at risk e...