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Dependent metaverse risk forecasts with heteroskedastic models and ensemble learning

Syuhada, Kreshna; Tjahjono, Venansius; Hakim, Arief - In: Risks : open access journal 11 (2023) 2, pp. 1-25

Metaverses have been evolving following the popularity of blockchain technology. They build their own cryptocurrencies for transactions inside their platforms. These new cryptocurrencies are, however, still highly speculative, volatile, and risky, motivating us to manage their risk. In this...

Persistent link: https://www.econbiz.de/10014234332

Robust estimation of value-at-risk through distribution-free and parametric approaches using the joint severity and frequency model : applications in financial, actuarial, and natural calamities domains

Guharay, Sabyasachi; Chang, KC; Xu, Jie - In: Risks : open access journal 5 (2017) 3, pp. 1-29

(DPFS) using clustering analysis, and copula-based parametric modeling of frequency and severity (CPFS). These two …

Persistent link: https://www.econbiz.de/10011687895

Tail dependence measure for examining financial extreme co-movements

Asimit, Alexandru V.; Gerrard, Russell; Hou, Yanxi; … - In: Journal of econometrics 194 (2016) 2, pp. 330-348

Persistent link: https://www.econbiz.de/10011705189

Market-risk optimization among the developed and emerging markets with cvar measure and copula simulation

Trabelsi, Nader; Tiwari, Aviral Kumar - In: Risks : open access journal 7 (2019) 3/78, pp. 1-20

In this paper, the generalized Pareto distribution (GPD) copula approach is utilized to solve the conditional value …-at-risk (CVaR) portfolio problem. Particularly, this approach used (i) copula to model the complete linear and non … minimizing CVaR measure and simulated copula returns combined outperforms the risk/return of domestic portfolios, such as the US …

Persistent link: https://www.econbiz.de/10012127555

Some results on bivariate squared maximum sharpe ratio

Mousavi, Samane Al-sadat; Dolati, Ali; Dastbaravarde, Ali - In: Risks : open access journal 12 (2024) 6, pp. 1-17

-linear dependence structure can result in an overestimation or underestimation of these metrics. Copula functions are commonly utilized … Sharpe ratio using copulas and proposes a copula-based approach to tackle the estimation issue. The performance of the …

Persistent link: https://www.econbiz.de/10014636835

PELVE : probability equivalent level of VaR and ES

Li, Hengxin; Wang, Ruodu - In: Journal of econometrics 234 (2023) 1, pp. 353-370

Persistent link: https://www.econbiz.de/10014364915

An academic response to Basel 3.5

Embrechts, Paul; Puccetti, Giovanni; Rüschendorf, Ludger; … - In: Risks : open access journal 2 (2014) 1, pp. 25-48

Recent crises in the financial industry have shown weaknesses in the modeling of Risk-Weighted Assets (RWAs). Relatively minor model changes may lead to substantial changes in the RWA numbers. Similar problems are encountered in the Value-at-Risk (VaR)-aggregation of risks. In this article, we...

Persistent link: https://www.econbiz.de/10010338097

The impact of systemic risk on the diversification benefits of a risk portfolio

Busse, Marc; Dacorogna, Michel M.; Katz, Marie - In: Risks : open access journal 2 (2014) 3, pp. 260-276

Risk diversification is the basis of insurance and investment. It is thus crucial to study the effects that could limit it. One of them is the existence of systemic risk that affects all of the policies at the same time. We introduce here a probabilistic approach to examine the consequences of...

Persistent link: https://www.econbiz.de/10010399713

On exactitude in financial regulation : value-at-risk, expected shortfall, and expectiles

Chen, Jim - In: Risks : open access journal 6 (2018) 2, pp. 1-28

This article reviews two leading measures of financial risk and an emerging alternative. Embraced by the Basel accords, value-at-risk and expected shortfall are the leading measures of financial risk. Expectiles offset the weaknesses of value-at-risk (VaR) and expected shortfall. Indeed,...

Persistent link: https://www.econbiz.de/10011867427

Sharp probability tail estimates for portfolio credit risk

Collamore, Jeffrey F.; Silva, Hasitha de; Vidyashankar, … - In: Risks : open access journal 10 (2022) 12, pp. 1-20

Portfolio credit risk is often concerned with the tail distribution of the total loss, defined to be the sum of default losses incurred from a collection of individual loans made out to the obligors. The default for an individual loan occurs when the assets of a company (or individual) fall...

Persistent link: https://www.econbiz.de/10014230963