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Risks, Volume 10, Issue 12

December 2022 - 20 articles

Cover Story: The insurance industry is positioned to significantly benefit from artificial intelligence (AI) innovations. However, opacity, trust, and transparency are pivotal limitations inhibiting widespread adoption. The authors present a review of artificial intelligence methods employed along the insurance value chain and assess their degree of explainability. As bias and opacity inherent to black-box AI models stimulate transparency concerns within the insurance industry, the application of explainable artificial intelligence (XAI) systems allows for the reinstatement of trust. Furthermore, it is suggested that the provision of explainability assessment criteria may encourage the adoption of such transparent and trustworthy AI algorithms in insurance practices. View this paper
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Articles (20)

  • Systematic Review
  • Open Access
52 Citations
26,402 Views
50 Pages

Explainable Artificial Intelligence (XAI) in Insurance

  • Emer Owens,
  • Barry Sheehan,
  • Martin Mullins,
  • Martin Cunneen,
  • Juliane Ressel and
  • German Castignani

1 December 2022

Explainable Artificial Intelligence (XAI) models allow for a more transparent and understandable relationship between humans and machines. The insurance industry represents a fundamental opportunity to demonstrate the potential of XAI, with the indus...

  • Article
  • Open Access
1 Citations
2,734 Views
12 Pages

1 December 2022

In contrarian trading, investors buy and sell loser stocks (lowest average historical prices) and winner stocks (highest average historical prices), respectively. This study examines whether (a) Thailand Sustainability Investment-listed companies out...

  • Article
  • Open Access
1 Citations
2,673 Views
20 Pages

Spectral Expansions for Credit Risk Modelling with Occupation Times

  • Giuseppe Campolieti,
  • Hiromichi Kato and
  • Roman N. Makarov

30 November 2022

We study two credit risk models with occupation time and liquidation barriers: the structural model and the hybrid model with hazard rate. The defaults within the models are characterized in accordance with Chapter 7 (a liquidation process) and Chapt...

  • Article
  • Open Access
2,470 Views
19 Pages

Calibrating FBSDEs Driven Models in Finance via NNs

  • Luca Di Persio,
  • Emanuele Lavagnoli and
  • Marco Patacca

30 November 2022

The curse of dimensionality problem refers to a set of troubles arising when dealing with huge amount of data as happens, e.g., applying standard numerical methods to solve partial differential equations related to financial modeling. To overcome the...

  • Article
  • Open Access
1 Citations
3,162 Views
15 Pages

The Effect of Inventory Leanness on Firms’ Credit Ratings: The Case of Pakistan

  • Paulo Viegas Carvalho,
  • Sayyed Sadaqat Hussain Shah,
  • Abrish Zaheer,
  • Mário Nuno Mata and
  • António Morão Lourenço

29 November 2022

Inventory leanness requires that firms minimize inventory mistreatment and misuse. A firm performance deteriorates because of high inventory misuse, and because of such an issue, the effect on the firm’s credit rating can also be seen. This study exa...

  • Article
  • Open Access
13 Citations
15,320 Views
24 Pages

25 November 2022

The aim of this paper is to introduce a two-step trading algorithm, named TI-SiSS. In the first step, using some technical analysis indicators and the two NLP-based metrics (namely Sentiment and Popularity) provided by FinScience and based on relevan...

  • Article
  • Open Access
5 Citations
3,583 Views
23 Pages

23 November 2022

Data breach incidents result in severe financial loss and reputational damage, which raises the importance of using insurance to manage and mitigate cyber related risks. We analyze data breach chronology collected by Privacy Rights Clearinghouse (PRC...

  • Article
  • Open Access
4 Citations
4,492 Views
18 Pages

22 November 2022

Movements in the volatility index of the Indian economy are influenced by global volatility indices (fear index). This study evaluates the influence of various global implied volatility indices in forecasting the day-to-day binary movements in the im...

  • Article
  • Open Access
3 Citations
2,754 Views
21 Pages

Dynamic Assessment of Cyber Threats in the Field of Insurance

  • Lukáš Pavlík,
  • Martin Ficek and
  • Jakub Rak

22 November 2022

The area of digital technologies is currently the subject of many cyber threats, the frequency of which is increasing. One of the areas of cyber security is also the creation of models and estimates of the process of cyber threats and their possible...

  • Article
  • Open Access
2 Citations
3,895 Views
14 Pages

A Quantum Algorithm for Pricing Asian Options on Valuation Trees

  • Mark-Oliver Wolf,
  • Roman Horsky and
  • Jonas Koppe

22 November 2022

We develop a novel quantum algorithm for approximating the price of a discrete floating-strike Asian option based on an underlying valuation tree. The paths of the tree are encoded in bit-representation into a qubit register, where quantum state prep...

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Risks - ISSN 2227-9091