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Risks, Volume 6, Issue 2

June 2018 - 39 articles

Cover Story: We have designed a stochastic simulation machine that allows the user to generate a synthetic insurance portfolio of individual claims histories. This simulation machine is based on neural networks to incorporate individual claims feature information and is calibrated using real non-life insurance data. The simulated individual claims histories enable the user to back-test classical aggregate claims reserving methods—such as the chain-ladder method—as well as to develop new claims reserving methods which are based on individual claims histories. This simulation machine may provide a common ground and publicly available (synthetic) data for research in the field of claims reserving. View this paper.
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Articles (39)

  • Article
  • Open Access
23 Citations
9,822 Views
26 Pages

11 June 2018

The Solvency II directive asks insurance companies to derive their solvency capital requirement from the full loss distribution over the coming year. While this is in general computationally infeasible in the life insurance business, an application o...

  • Article
  • Open Access
53 Citations
15,778 Views
28 Pages

1 June 2018

This article reviews two leading measures of financial risk and an emerging alternative. Embraced by the Basel accords, value-at-risk and expected shortfall are the leading measures of financial risk. Expectiles offset the weaknesses of value-at-risk...

  • Article
  • Open Access
12 Citations
8,354 Views
19 Pages

Risk Aversion, Loss Aversion, and the Demand for Insurance

  • Louis Eeckhoudt,
  • Anna Maria Fiori and
  • Emanuela Rosazza Gianin

25 May 2018

In this paper we analyze insurance demand when the utility function depends both upon final wealth and the level of losses or gains relative to a reference point. Besides some comparative statics results, we discuss the links with first-order risk av...

  • Article
  • Open Access
2 Citations
4,181 Views
16 Pages

23 May 2018

This paper studies the moments and the distribution of the aggregate discounted claims (ADCs) in a Markovian environment, where the claim arrivals, claim amounts, and forces of interest (for discounting) are influenced by an underlying Markov process...

  • Article
  • Open Access
10 Citations
4,847 Views
18 Pages

17 May 2018

We review two complementary mixture-based clustering approaches for modeling unobserved heterogeneity in an insurance portfolio: the generalized linear mixed cluster-weighted model (CWM) and mixture-based clustering for an ordered stereotype model (O...

  • Article
  • Open Access
12 Citations
5,793 Views
13 Pages

16 May 2018

Credit risk is a critical issue that affects banks and companies on a global scale. Possessing the ability to accurately predict the level of credit risk has the potential to help the lender and borrower. This is achieved by alleviating the number of...

  • Article
  • Open Access
42 Citations
7,147 Views
21 Pages

Stochastic Modeling of Wind Derivatives in Energy Markets

  • Fred Espen Benth,
  • Luca Di Persio and
  • Silvia Lavagnini

16 May 2018

We model the logarithm of the spot price of electricity with a normal inverse Gaussian (NIG) process and the wind speed and wind power production with two Ornstein–Uhlenbeck processes. In order to reproduce the correlation between the spot pric...

  • Article
  • Open Access
5 Citations
8,429 Views
11 Pages

15 May 2018

In this paper, we study the implications of diversification in the asset portfolios of banks for financial stability and systemic risk. Adding to the existing literature, we analyse this issue in a network model of the interbank market. We carry out...

  • Article
  • Open Access
15 Citations
6,762 Views
35 Pages

8 May 2018

Utility and risk are two often competing measurements on the investment success. We show that efficient trade-off between these two measurements for investment portfolios happens, in general, on a convex curve in the two-dimensional space of utility...

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Risks - ISSN 2227-9091