Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Xeni K. Dimakos"'
Publikováno v:
Scandinavian Actuarial Journal. 2011:1-20
The insurance industry, like other parts of the financial sector, is vulnerable to climate change. Life as well as non-life products are affected and knowledge of future loss levels is valuable. Risk and premium calculations may be updated accordingl
Autor:
Xeni K. Dimakos, Anders Løland
Publikováno v:
The Journal of Energy Markets. 3:73-92
The Nordic electricity spot power market (Nord Pool) is divided into several price areas. The NO1 area (southern Norway) is of particular interest. It is dominated by hydropower and has experienced large deviations from the system price. Using histor
Publikováno v:
Risk Management. 9:82-107
This article presents a new approach to determine the total risk of a financial institution. The proposed model includes components for credit, market, operational and business risk. Moreover, it includes a component for the ownership risk that stems
Publikováno v:
The Journal of Risk. 8:39-60
Appropriate modeling of time-varying dependencies is very important for quantifying financial risk, such as the risk associated with a portfolio of financial assets. Most of the papers analyzing financial returns have focused on the univariate case.
Autor:
Kjersti Aas, Xeni K. Dimakos
Publikováno v:
Statistical Modelling. 4:265-277
In this article, we present a new approach to modelling the total economic capital required to protect a financial institution against possible losses. The approach takes into account the correlation between risk types, and in this respect, it improv
Autor:
Xeni K. Dimakos
Publikováno v:
International Statistical Review. 69:27-48
Summary Markov Chain Monte Carlo (MCMC) methods are used to sample from complicated multivariate distributions with normalizing constants that may not be computable in practice and from which direct sampling is not feasible. A fundamental problem is
Publikováno v:
Biometrics. 55:678-687
The conventional line transect approach of estimating effective search width from the perpendicular distance distribution is inappropriate in certain types of surveys, e.g., when an unknown fraction of the animals on the track line is detected, the a