This survey reviews the large and growing literature on copula-based models for economic
and financial time series. Copula-based multivariate models allow the researcher to specify …

Implicit copulas are the most common copula choice for modeling dependence in high
dimensions. This broad class of copulas is introduced and surveyed, including elliptical …

Traditionally, claim counts and amounts are assumed to be independent in non-life
insurance. This paper explores how this often unwarranted assumption can be relaxed in a …

This paper examines the dynamic causal relationship between renewable energy prices
and economic growth in the cases of Norway, New Zealand, and two Canadian provinces. A …

In insurance and related industries including healthcare, it is common to have several
outcome measures that the analyst wishes to understand using explanatory variables. For …

Copulas have proven to be very successful tools for the flexible modeling of cross-sectional
dependence. In this paper we express the dependence structure of continuous-valued time …

Modelling claim frequency and claim severity are topics of great interest in property-casualty
insurance for supporting underwriting, ratemaking, and reserving actuarial decisions …

In nonlife insurance, insurers use experience rating to adjust premiums to reflect
policyholders' previous claim experience. Performing prospective experience rating can be …

Modeling dependencies among multiple loss triangles has important implications for the
determination of loss reserves, a critical element of risk management and capital allocation …

The estimation of loss reserves for incurred but not reported (IBNR) claims presents an
important task for insurance companies to predict their liabilities. Recently, individual claim …