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Risks, Volume 9, Issue 3

2021 March - 13 articles

Cover Story: To explain the loss exposure of insurance claims, pricing actuaries increasingly explore “modern” techniques, such as random forest, moving beyond classical regression models. The aim of the research by Staudt and Wagner is to assess the performance of random forest methods in predicting the claim severity in a collision car insurance portfolio. View this paper
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Articles (13)

  • Article
  • Open Access
4 Citations
13,391 Views
15 Pages

18 March 2021

The aim of this article is to present the risk model premises related to worker recruitment. Recruitment affects the final selection of workers, whose activities contribute to corporate competitive advantages. Hiring unfavorable workers can influence...

  • Article
  • Open Access
8 Citations
4,293 Views
14 Pages

18 March 2021

This study aims to check market reaction to filing for bankruptcy and restructuring proceedings and to verify the short-term effect of a price reversal in the Polish market in the years 2004–2019. The research was conducted by dividing the analysed c...

  • Article
  • Open Access
8 Citations
5,374 Views
22 Pages

18 March 2021

This work documents a persistent life expectancy heterogeneity by gender and geography in Italy during the period 1995–2019. Based on deviations of life expectancy at age 65, it quantifies the implicit tax/subsidy mechanism triggered when pensions an...

  • Article
  • Open Access
4 Citations
3,212 Views
16 Pages

Regularization of Autoencoders for Bank Client Profiling Based on Financial Transactions

  • Andrey Filchenkov,
  • Natalia Khanzhina,
  • Arina Tsai and
  • Ivan Smetannikov

17 March 2021

Predicting if a client is worth giving a loan—credit scoring—is one of the most essential and popular problems in banking. Predictive models for this goal are built on the assumption that there is a dependency between the client’s profile before the...

  • Article
  • Open Access
16 Citations
8,630 Views
28 Pages

16 March 2021

For calculating non-life insurance premiums, actuaries traditionally rely on separate severity and frequency models using covariates to explain the claims loss exposure. In this paper, we focus on the claim severity. First, we build two reference mod...

  • Article
  • Open Access
3 Citations
5,021 Views
40 Pages

12 March 2021

The aim of this paper is to merge order statistics with natural catastrophe reinsurance pricing to develop new theoretical and practical insights relevant to market practice and model development. We present a novel framework to quantify the role tha...

  • Article
  • Open Access
1 Citations
3,165 Views
10 Pages

10 March 2021

Best practice life expectancy has recently been modeled using extreme value theory. In this paper we present the Gumbel autoregressive model of order one—Gumbel AR(1)—as an option for modeling best practice life expectancy. This class of model repres...

  • Article
  • Open Access
52 Citations
23,009 Views
20 Pages

A Machine Learning Approach for Micro-Credit Scoring

  • Apostolos Ampountolas,
  • Titus Nyarko Nde,
  • Paresh Date and
  • Corina Constantinescu

9 March 2021

In micro-lending markets, lack of recorded credit history is a significant impediment to assessing individual borrowers’ creditworthiness and therefore deciding fair interest rates. This research compares various machine learning algorithms on real m...

  • Article
  • Open Access
16 Citations
5,790 Views
33 Pages

8 March 2021

To build adequate predictive models, a substantial amount of data is desirable. However, when expanding to new or unexplored territories, this required level of information is rarely always available. To build such models, actuaries often have to: pr...

  • Article
  • Open Access
53 Citations
10,056 Views
28 Pages

Financial Transactions Using FINTECH during the Covid-19 Crisis in Bulgaria

  • Ivanka Vasenska,
  • Preslav Dimitrov,
  • Blagovesta Koyundzhiyska-Davidkova,
  • Vladislav Krastev,
  • Pavol Durana and
  • Ioulia Poulaki

5 March 2021

In the context of current crises following COVID-19 and growing global economic uncertainties, the issues regarding financial transactions with FINTECH are increasingly apparent. Consequently, in our opinion, the utilization of FINTECH financial tran...

  • Article
  • Open Access
11 Citations
5,535 Views
19 Pages

Applications of Clustering with Mixed Type Data in Life Insurance

  • Shuang Yin,
  • Guojun Gan,
  • Emiliano A. Valdez and
  • Jeyaraj Vadiveloo

3 March 2021

Death benefits are generally the largest cash flow items that affect the financial statements of life insurers; some may still not have a systematic process to track and monitor death claims. In this article, we explore data clustering to examine and...

  • Article
  • Open Access
26 Citations
7,744 Views
15 Pages

Risk Assessment for Personalized Health Insurance Based on Real-World Data

  • Aristodemos Pnevmatikakis,
  • Stathis Kanavos,
  • George Matikas,
  • Konstantina Kostopoulou,
  • Alfredo Cesario and
  • Sofoklis Kyriazakos

1 March 2021

The way one leads their life is considered an important factor in health. In this paper we propose a system to provide risk assessment based on behavior for the health insurance sector. To do so we built a platform to collect real-world data that enu...

  • Article
  • Open Access
16 Citations
4,460 Views
32 Pages

1 March 2021

We introduce four variants of the common age effect model proposed by Kleinow, which describes the mortality rates of multiple populations. Our model extensions are based on the assumption of multiple common age effects, each of which is shared only...

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Risks - ISSN 2227-9091