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Risks, Volume 12, Issue 9

September 2024 - 16 articles

Cover Story: Telematics data on driving behaviour variables are leveraged to assess driver risk and predict future insurance claims. Drivers are categorised based on their habits, and premiums are established to reflect their driving risk accurately. To achieve this, models such as the two-stage Poisson model, Poisson mixture model, and Zero-Inflated Poisson model are employed, further enhanced by regularisation techniques like lasso, adaptive lasso, elastic net, and adaptive elastic net. The Poisson mixture model with adaptive lasso regularisation outperforms other models. A novel usage-based experience rating premium pricing method enables frequent premium updates based on recent driving behaviour, rewarding responsible driving practices, reducing cross-subsidisation among risky drivers, and improving loss reserving accuracy for auto insurance companies. View this paper
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Articles (16)

  • Article
  • Open Access
4 Citations
4,230 Views
20 Pages

A Novel Hybrid Deep Learning Method for Accurate Exchange Rate Prediction

  • Farhat Iqbal,
  • Dimitrios Koutmos,
  • Eman A. Ahmed and
  • Lulwah M. Al-Essa

30 August 2024

The global foreign exchange (FX) market represents a critical and sizeable component of our financial system. It is a market where firms and investors engage in both speculative trading and hedging. Over the years, there has been a growing interest i...

  • Article
  • Open Access
1 Citations
1,927 Views
16 Pages

The Spatial Analysis of the Role of Green Finance in Carbon Emission Reduction

  • Menghan Xiao,
  • Xiaojing Guo,
  • Gonghang Chen,
  • Xiangfeng Ji and
  • Wenqing Sun

29 August 2024

Under the “dual carbon” goal, the core issue at present is to improve the environment while ensuring economic development. As a result, green finance, that is a tool that integrates finance and environmental protection, has shown increasi...

  • Article
  • Open Access
1 Citations
4,381 Views
33 Pages

28 August 2024

We leverage telematics data on driving behavior variables to assess driver risk and predict future insurance claims in a case study utilising a representative telematics sample. In the study, we aim to categorise drivers according to their driving ha...

  • Feature Paper
  • Article
  • Open Access
1 Citations
1,610 Views
24 Pages

Dynamic Asset Pricing in a Unified Bachelier–Black–Scholes–Merton Model

  • W. Brent Lindquist,
  • Svetlozar T. Rachev,
  • Jagdish Gnawali and
  • Frank J. Fabozzi

27 August 2024

We present a unified, market-complete model that integrates both Bachelier and Black–Scholes–Merton frameworks for asset pricing. The model allows for the study, within a unified framework, of asset pricing in a natural world that experie...

  • Article
  • Open Access
1,244 Views
22 Pages

26 August 2024

In risk assessment, numerous subfactors influence the probabilities of the main factors. These main factors reflect adverse outcomes, which are essential in risk assessment. A Bayesian network can model the entire set of subfactors and their intercon...

  • Article
  • Open Access
1 Citations
3,120 Views
26 Pages

26 August 2024

The research determines the level of financial risk in the Russian healthcare system and identifies prospects for improving the current Russian practice of financial risk management in healthcare when providing high-tech medical care for sustainable...

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Risks - ISSN 2227-9091