Skewed distributions in finance and actuarial science: a review

C Adcock, M Eling, N Loperfido - The European Journal of Finance, 2015 - Taylor & Francis
That the returns on financial assets and insurance claims are not well described by the
multivariate normal distribution is generally acknowledged in the literature. This paper …

Analysis and valuation of insurance companies

D Nissim - CE| ASA (Center for Excellence in Accounting and …, 2010 - papers.ssrn.com
During 2008 and 2009, the insurance industry experienced unprecedented volatility. The
large swings in insurers' market valuations, and the significant role that financial reporting …

[引用][C] Statistical Size Distributions in Economics and Actuarial Sciences

C Kleiber - 2003 - books.google.com
A comprehensive account of economic size distributions around the world and throughout
the years In the course of the past 100 years, economists and applied statisticians have …

[图书][B] Monte Carlo methods in finance

P Jäckel - 2002 - books.google.com
Dieses Buch ist ein handlicher und praktischer Leitfaden zur Monte Carlo Simulation (MCS).
Er gibt eine Einführung in Standardmethoden und fortgeschrittene Verfahren, um die …

A conditional-SGT-VaR approach with alternative GARCH models

TG Bali, P Theodossiou - Annals of Operations Research, 2007 - Springer
This paper proposes a conditional technique for the estimation of VaR and expected
shortfall measures based on the skewed generalized t (SGT) distribution. The estimation of …

Automobile insurance ratemaking in the presence of asymmetrical information

G Dionne, C Vanasse - Journal of Applied Econometrics, 1992 - Wiley Online Library
Automobile insurance is an example of a market where multi‐period contracts are observed.
This form of contract can be justified by asymmetrical information between the insurer and …

The role of autoregressive conditional skewness and kurtosis in the estimation of conditional VaR

TG Bali, H Mo, Y Tang - Journal of Banking & Finance, 2008 - Elsevier
This paper investigates the role of high-order moments in the estimation of conditional value
at risk (VaR). We use the skewed generalized t distribution (SGT) with time-varying …

[HTML][HTML] Central Bank Policy and the concentration of risk: Empirical estimates

N Coimbra, D Kim, H Rey - Journal of Monetary Economics, 2022 - Elsevier
Before the 2008 crisis, the cross-sectional skewness of banks' leverage went up and macro
risk concentrated in the balance sheets of large banks. Using a model of profit-maximizing …

Scaling models for the severity and frequency of external operational loss data

H Dahen, G Dionne - Journal of Banking & Finance, 2010 - Elsevier
According to Basel II criteria, the use of external data is indispensable to the implementation
of an advanced method for calculating operational risk capital. This article investigates how …

Heavy-tailed longitudinal data modeling using copulas

J Sun, EW Frees, MA Rosenberg - Insurance: Mathematics and Economics, 2008 - Elsevier
In this paper, we consider “heavy-tailed” data, that is, data where extreme values are likely to
occur. Heavy-tailed data have been analyzed using flexible distributions such as the …