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Risks, Volume 8, Issue 2

June 2020 - 35 articles

Cover Story: The insureds’ decisions to opt for a specific insurance plan and level of deductible depend on observed and unobserved characteristics. The aim of the research by Kalouguina and Wagner is to understand the correlation between insurance plan choices and lifestyle through health and medical care consumption in the setting of Swiss mandatory health insurance. View this paper
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Articles (35)

  • Article
  • Open Access
5 Citations
5,665 Views
12 Pages

Systematic Risk at the Industry Level: A Case Study of Australia

  • Thang Cong Nguyen,
  • Tan Ngoc Vu,
  • Duc Hong Vo and
  • Michael McAleer

13 April 2020

The cornerstone of the capital asset pricing model (CAPM) lies with its beta. The question of whether or not beta is dead has attracted great attention from academics and practitioners in the last 50 years or so, and the debate is still ongoing. Many...

  • Article
  • Open Access
10 Citations
3,972 Views
15 Pages

11 April 2020

We propose novel nonparametric estimators for stochastic volatility and the volatility of volatility. In doing so, we relax the assumption of a constant volatility of volatility and therefore, we allow the volatility of volatility to vary over time....

  • Article
  • Open Access
53 Citations
9,225 Views
14 Pages

9 April 2020

Cryptocurrencies have recently captured the interest of the econometric literature, with several works trying to address the existence of bubbles in the price dynamics of Bitcoins and other cryptoassets. Extremely rapid price accelerations, often ref...

  • Article
  • Open Access
11 Citations
4,270 Views
34 Pages

7 April 2020

The goal of this paper is to develop regression models and postulate distributions which can be used in practice to describe the joint development process of individual claim payments and claim incurred. We apply neural networks to estimate our regre...

  • Article
  • Open Access
2 Citations
3,906 Views
14 Pages

A Note on Combining Machine Learning with Statistical Modeling for Financial Data Analysis

  • José María Sarabia,
  • Faustino Prieto,
  • Vanesa Jordá and
  • Stefan Sperlich

3 April 2020

This note revisits the ideas of the so-called semiparametric methods that we consider to be very useful when applying machine learning in insurance. To this aim, we first recall the main essence of semiparametrics like the mixing of global and local...

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Risks - ISSN 2227-9091