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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

Multivariate spectral backtests of forecast distributions under unknown dependencies

Balter, Janine; McNeil, Alexander J. - In: Risks : open access journal 12 (2024) 1, pp. 1-15

Under the revised market risk framework of the Basel Committee on Banking Supervision, the model validation regime for internal models now requires that models capture the tail risk in profit-and-loss (P&L) distributions at the trading desk level. We develop multi-desk backtests, which...

Persistent link: https://www.econbiz.de/10014480976

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

Volatility modeling and dependence structure of ESG and conventional investments

Górka, Joanna; Kuziak, Katarzyna - In: Risks : open access journal 10 (2022) 1, pp. 1-25

, it is important to model and quantify it. The conditional volatility models from the GARCH family and tail …

Persistent link: https://www.econbiz.de/10012805838

Empirical testing of models of autoregressive conditional heteroscedasticity used for prediction of the volatility of Bulgarian investment funds

Petrova, Mariana; Todorov, Teodor - In: Risks : open access journal 11 (2023) 11, pp. 1-30

investment decisions. The used risk attribution quantification models GARCH (1.1), EGARCH (1.1), GARCH-M (1.1) and TGARCH (1 … concentration of investment funds (in Bulgaria) through the testing of complex, analytical and specialized models from the GARCH … models GARCH, EGARCH, GARCH-M and TGARCH with specification (1.1). The research covers the net balance sheet value of forty …

Persistent link: https://www.econbiz.de/10014436423

When the US stock market becomes extreme?

Aboura, Sofiane - In: Risks : open access journal 2 (2014) 2, pp. 211-225

Over the last three decades, the world economy has been facing stock market crashes, currency crisis, the dot-com and real estate bubble burst, credit crunch and banking panics. As a response, extreme value theory (EVT) provides a set of ready-made approaches to risk management analysis....

Persistent link: https://www.econbiz.de/10010399734

Estimation of maximum potential losses for digital banking transaction risks using the extreme value-at-risks method

Saputra, Moch Panji Agung; Sukono; Chaerani, Diah - In: Risks : open access journal 10 (2022) 1, pp. 1-18

The application of industry 4.0 in banking presents many challenges, with several operational risks related to downtime and timeout services due to system failures. One of the operational risk management steps is to estimate the value of the maximum potential losses. The purpose of this study is...

Persistent link: https://www.econbiz.de/10012805367

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-linear correlation dependence structure, (ii) Pareto tails to...

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

Risk management under Omega measure

Metel, Michael R.; Pirvu, Traian A.; Wong, Julian - In: Risks : open access journal 5 (2017) 2, pp. 1-14

We prove that the Omega measure, which considers all moments when assessing portfolio performance, is equivalent to the widely used Sharpe ratio under jointly elliptic distributions of returns. Portfolio optimization of the Sharpe ratio is then explored, with an active-set algorithm presented...

Persistent link: https://www.econbiz.de/10011643419

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

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

Value-at-Risk (VaR) is a well-accepted risk metric in modern quantitative risk management (QRM). The classical Monte Carlo simulation (MCS) approach, denoted henceforth as the classical approach, assumes the independence of loss severity and loss frequency. In practice, this assumption does not...

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