Results 51 to 60 of about 927 (219)
Conditional tail independence in Archimedean copula models
, 2019 Consider a random vector U whose distribution function coincides in its upper tail with that of an Archimedean copula. We report the fact that the conditional distribution of U, conditional on one of its components, has under a mild condition on the ...
Michael Falk +2 more
core +1 more source
Goodness‐of‐Fit Tests for Positive Quadrant Dependence
International Statistical Review, EarlyView.Summary When two random variables are positive quadrant dependent (PQD), they are more likely to assume small (or large) values simultaneously compared with when the random variables are independent. This dependence structure is of interest in many areas, including finance, actuarial science and engineering.
Chuan‐Fa Tang, Joshua M. Tebbs
wiley +1 more source
Assessing Basis Risk in Margin Insurance for Beef Cattle Farming in Brazil
Agricultural Economics, Volume 57, Issue 4, July 2026.ABSTRACT Price volatility in agricultural markets directly affects the financial viability of rural producers, particularly in sectors characterized by narrow profit margins and long production cycles, such as beef cattle production. Futures contracts and agricultural insurance are commonly used to mitigate this risk; however, both instruments are ...
Beatriz Salandin Dal Pozzo +1 more
wiley +1 more source
Robust Bernoulli Mixture Models for Credit Portfolio Risk
Mathematical Finance, Volume 36, Issue 3, Page 528-543, July 2026.ABSTRACT This paper presents comparison results and establishes risk bounds for credit portfolios within classes of Bernoulli mixture models, assuming conditionally independent defaults that are stochastically increasing in a common risk factor. We provide simple and interpretable conditions on conditional default probabilities that imply a comparison ...
Jonathan Ansari, Eva Lütkebohmert
wiley +1 more source
Water Resources Research, Volume 62, Issue 5, May 2026.Abstract Drought indices represent essential tools for monitoring and evaluating drought conditions and evolution. Univariate indices employ the Probability Integral Transform to map data onto the standard Gaussian domain. Extending such a Gaussian normalization procedure to multivariate settings requires the usage of the Kendall distribution function ...
Carlo De Michele +3 more
wiley +1 more source
Modelling cascading effects for systemic risk: Properties of the Freund copula
Dependence Modeling, 2019 We consider a dependent lifetime model for systemic risk, whose basic idea was for the first time presented by Freund. This model allows to model cascading effects of defaults for arbitrarily many economic agents.
Guzmics Sándor, Pflug Georg Ch.
doaj +1 more source
Advances in Meteorology, 2023 The univariate analysis of hydrological extremes is a well-established practice in developing countries such as Ethiopia. However, for the design of hydrological and hydraulic systems, it is essential to have a thorough understanding of flood event ...
Mesfin Mamo Haile +4 more
doaj +1 more source
A two-component copula with links to insurance
Dependence Modeling, 2017 This paper presents a new copula to model dependencies between insurance entities, by considering how insurance entities are affected by both macro and micro factors.
Ismail S., Yu G., Reinert G., Maynard T.
doaj +1 more source
Assessing the hydrodynamic boundary conditions for risk analyses in coastal areas: a multivariate statistical approach based on Copula functions [PDF]
Natural Hazards and Earth System Sciences, 2012 This paper presents an advanced approach to statistically analyse storm surge events. In former studies the highest water level during a storm surge event usually was the only parameter that was used for the statistical assessment.
T. Wahl, C. Mudersbach, J. Jensen
doaj +1 more source
COBASE: A new copula‐based shuffling method for ensemble weather forecast postprocessing
Quarterly Journal of the Royal Meteorological Society, Volume 152, Issue 777, April 2026 Part B.We propose COBASE, a novel copula‐based postprocessing methododology that combines the strengths of multivariate parametric correction with non‐parametric rank‐based approaches. We consider two case studies for multi‐site temperature in Austria and multi‐site temperature and dew‐point temperature in the Netherlands.
Maurits Flos +4 more
wiley +1 more source