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Active management of pperational risk in the regimes of the "unknown" : what can machine learning or heuristics deliver?

Milkau, Udo; Bott, Jürgen - In: Risks : open access journal 6 (2018) 2, pp. 1-16

Advanced machine learning has achieved extraordinary success in recent years. “Active” operational risk beyond ex post analysis of measured-data machine learning could provide help beyond the regime of traditional statistical analysis when it comes to the “known unknown” or even the...

Persistent link: https://www.econbiz.de/10011866399

Mathematical model for choosing counterparty when assessing information security risks

Koltays, Andrey; Konev, Anton; Shelupanov, Alexander - In: Risks : open access journal 9 (2021) 7, pp. 1-13

The need to assess the risks of the trustworthiness of counterparties is increasing every year. The identification of increasing cases of unfair behavior among counterparties only confirms the relevance of this topic. The existing work in the field of information and economic security does not...

Persistent link: https://www.econbiz.de/10012599598

Loss reserving models : granular and machine learning forms

Taylor, Greg - In: Risks : open access journal 7 (2019) 3/82, pp. 1-18

The purpose of this paper is to survey recent developments in granular models and machine learning models for loss reserving, and to compare the two families with a view to assessment of their potential for future development. This is best understood against the context of the evolution of these...

Persistent link: https://www.econbiz.de/10012127545

Machine learning in banking risk management : a literature review

Leo, Martin; Sharma, Suneel; Maddulety, K. - In: Risks : open access journal 7 (2019) 1/29, pp. 1-22

There is an increasing influence of machine learning in business applications, with many solutions already implemented …

Persistent link: https://www.econbiz.de/10012015887

Application of machine learning to mortality modeling and forecasting

Levantesi, Susanna; Pizzorusso, Virginia - In: Risks : open access journal 7 (2019) 1/26, pp. 1-19

Estimation of future mortality rates still plays a central role among life insurers in pricing their products and managing longevity risk. In the literature on mortality modeling, a wide number of stochastic models have been proposed, most of them forecasting future mortality rates by...

Persistent link: https://www.econbiz.de/10012015932

Deeptriangle : a deep learning approach to loss reserving

Kuo, Kevin - In: Risks : open access journal 7 (2019) 3/97, pp. 1-12

data across lines of business, and show that they improve on the predictive accuracy of existing stochastic methods. The …

Persistent link: https://www.econbiz.de/10012126426

Risk assessment for personalized health insurance based on real-world data

Pnevmatikakis, Aristodemos; Kanavos, Stathis; Matikas, … - In: Risks : open access journal 9 (2021) 3, pp. 1-15

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 enumerate different aspects of behavior, and a...

Persistent link: https://www.econbiz.de/10012508483

Advancing the use of deep learning in loss reserving : a Generalized DeepTriangle approach

Feng, Yining; Li, Shuanming - In: Risks : open access journal 12 (2024) 1, pp. 1-14

This paper proposes a generalized deep learning approach for predicting claims developments for non-life insurance reserving. The generalized approach offers more flexibility and accuracy in solving actuarial reserving problems. It predicts claims outstanding weighted by exposure instead of loss...

Persistent link: https://www.econbiz.de/10014480914

The role of artificial intelligence technology in predictive risk assessment for business continuity : a case study of Greece

Kalogiannidis, Stavros; Kalfas, Dimitrios; … - In: Risks : open access journal 12 (2024) 2, pp. 1-23

contribution to ensuring business continuity. This research aimed to understand how different AI components, such as natural … planning, enhance risk assessment and support business continuity in an environment where businesses face a myriad of risks … technologies have a major impact on business continuity and predictive risk assessment. Notably, it was discovered that NLP …

Persistent link: https://www.econbiz.de/10014497407

A novel hybrid deep learning method for accurate exchange rate prediction

Iqbal, Farhat; Koutmos, Dimitrios; Zaki, Eman Ahmed … - In: Risks : open access journal 12 (2024) 9, pp. 1-20

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 in FX modeling and prediction. Recently,...

Persistent link: https://www.econbiz.de/10015066311