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Risks, Volume 7, Issue 2

June 2019 - 36 articles

Cover Story: The cover figure shows the treatment level healthcare data modeling approach. In the paper, the authors attempt to predict the daily, weekly, and monthly medical charge amounts using an extension of the frequency-severity approach to modeling insurance expenditures from the actuarial science literature. The figure illustrates the prediction process that begins by feeding the frequency-severity model with raw data. The prediction results for the daily, weekly, and monthly charge amounts are shown. In order to model each component of the model, the authors use a generalized linear modeling framework. View this paper.
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Articles (36)

  • Article
  • Open Access
32 Citations
8,464 Views
18 Pages

20 June 2019

To reduce the negative impacts of risks in farming due to climate change, the government implemented agricultural production cost insurance in 2015. Although a huge amount of subsidy has been allocated by the government (80 percent of the premium), f...

  • Article
  • Open Access
137 Citations
18,417 Views
16 Pages

Predicting Motor Insurance Claims Using Telematics Data—XGBoost versus Logistic Regression

  • Jessica Pesantez-Narvaez,
  • Montserrat Guillen and
  • Manuela Alcañiz

20 June 2019

XGBoost is recognized as an algorithm with exceptional predictive capacity. Models for a binary response indicating the existence of accident claims versus no claims can be used to identify the determinants of traffic accidents. This study compared t...

  • Article
  • Open Access
4 Citations
5,001 Views
16 Pages

Ruin Probability Functions and Severity of Ruin as a Statistical Decision Problem

  • Emilio Gómez-Déniz,
  • José María Sarabia and
  • Enrique Calderín-Ojeda

17 June 2019

It is known that the classical ruin function under exponential claim-size distribution depends on two parameters, which are referred to as the mean claim size and the relative security loading. These parameters are assumed to be unknown and random, t...

  • Article
  • Open Access
22 Citations
7,292 Views
23 Pages

13 June 2019

In this research, trade credit is analysed form a seller (supplier) perspective. Trade credit allows the supplier to increase sales and profits but creates the risk that the customer will not pay, and at the same time increases the risk of the suppli...

  • Article
  • Open Access
3 Citations
7,016 Views
22 Pages

12 June 2019

One of the key components of counterparty credit risk (CCR) measurement is generating scenarios for the evolution of the underlying risk factors, such as interest and exchange rates, equity and commodity prices, and credit spreads. Geometric Brownian...

  • Article
  • Open Access
10 Citations
3,796 Views
17 Pages

Default Ambiguity

  • Tolulope Fadina and
  • Thorsten Schmidt

10 June 2019

This paper discusses ambiguity in the context of single-name credit risk. We focus on uncertainty in the default intensity but also discuss uncertainty in the recovery in a fractional recovery of the market value. This approach is a first step toward...

  • Feature Paper
  • Article
  • Open Access
6 Citations
4,175 Views
27 Pages

4 June 2019

In the past two decades increasing computational power resulted in the development of more advanced claims reserving techniques, allowing the stochastic branch to overcome the deterministic methods, resulting in forecasts of enhanced quality. Hence,...

  • Article
  • Open Access
1 Citations
3,379 Views
31 Pages

1 June 2019

This is Part III of a series of papers which focus on a general framework for portfolio theory. Here, we extend a general framework for portfolio theory in a one-period financial market as introduced in Part I [Maier-Paape and Zhu, Risks 2018, 6(2),...

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Risks - ISSN 2227-9091Creative Common CC BY license