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~isPartOf:"Computational economics"
~isPartOf:"International journal of forecasting"
~isPartOf:"Risks : open access journal"
~subject:"Künstliche Intelligenz"
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Computational economics
International journal of forecasting
Risks : open access journal
Journal of forecasting
30
European journal of operational research : EJOR
28
Technological forecasting & social change : an international journal
25
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18
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Journal of information & knowledge management : JIKM
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The North American journal of economics and finance : a journal of financial economics studies
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78
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1
Evaluating the effectiveness of modern forecasting models in predicting commodity futures prices in volatile economic times
Vancsura, László
;
Tatay, Tibor
;
Bareith, Tibor
- In:
Risks : open access journal
11
(
2023
)
2
,
pp. 1-16
The paper seeks to answer the question of how price forecasting can contribute to which techniques gives the most accurate results in the futures commodity market. A total of two families of models (decision trees, artificial intelligence) were used to produce estimates for 2018 and 2022 for 21-...
Persistent link: https://www.econbiz.de/10014233184
Saved in:
2
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
Saved in:
3
A generalized linear model and machine learning approach for predicting the frequency and severity of cargo insurance in Thailand's border trade context
Praiya Panjee
;
Sataporn Amornsawadwatana
- In:
Risks : open access journal
12
(
2024
)
2
,
pp. 1-33
insurance companies to enhance risk assessment processes, set suitable premiums, manage reserves, and accurately
forecast
claim …
Persistent link: https://www.econbiz.de/10014497395
Saved in:
4
Bitcoin price prediction : a machine learning sample dimension approach
Ranjan, Sumit
;
Kayal, Parthajit
;
Saraf, Malvika
- In:
Computational economics
61
(
2023
)
4
,
pp. 1617-1636
Persistent link: https://www.econbiz.de/10014327096
Saved in:
5
Predict stock prices using supervised learning algorithms and particle swarm optimization algorithm
Bazrkar, Mohammad Javad
;
Hosseini, Soodeh
- In:
Computational economics
62
(
2023
)
1
,
pp. 165-186
Persistent link: https://www.econbiz.de/10014327292
Saved in:
6
Machine learning in forecasting motor insurance claims
Poufinas, Thomas
;
Gkonkas, Periklēs
;
Papadimitiou, …
- In:
Risks : open access journal
11
(
2023
)
9
,
pp. 1-19
Vector Machines-SVM, Decision Trees, Random Forests, and Boosting) to
forecast
the average (mean) insurance claim per insured …
Persistent link: https://www.econbiz.de/10014375275
Saved in:
7
Optimizing pension participation in Kenya through predictive modeling : a comparative analysis of tree-based machine learning algorithms and logistic regression classifier
Yego, Nelson Kemboi
;
Kasozi, Juma
;
Nkurunziza, Joseph
- In:
Risks : open access journal
11
(
2023
)
4
,
pp. 1-21
Pension plans play a vital role in the economy by impacting savings, consumption, and investment allocation. Despite declining mortality rates and increasing life expectancy, pension enrollment remains low, affecting the long-term financial stability and well-being of populations. To address...
Persistent link: https://www.econbiz.de/10014303858
Saved in:
8
Comparing out-of-sample performance of machine learning methods to
forecast
U.S. GDP growth
Chu, Ba
;
Qureshi, Shafiullah
- In:
Computational economics
62
(
2023
)
4
,
pp. 1567-1609
Persistent link: https://www.econbiz.de/10014437505
Saved in:
9
Recent advances in intra-hour solar forecasting : a review of ground-based sky image methods
Lin, Fan
;
Zhang, Yao
;
Wang, Jianxue
- In:
International journal of forecasting
39
(
2023
)
1
,
pp. 244-265
Persistent link: https://www.econbiz.de/10014462778
Saved in:
10
An approach for variable selection and prediction model for estimating the Risk-Based Capital (RBC) based on machine learning algorithms
Park, Jaewon
;
Shin, Minsoo
- In:
Risks : open access journal
10
(
2022
)
1
,
pp. 1-20
The risk-based capital (RBC) ratio, an insurance company's financial soundness system, evaluates the capital adequacy needed to withstand unexpected losses. Therefore, continuous institutional improvement has been made to monitor the financial solvency of companies and protect consumers' rights,...
Persistent link: https://www.econbiz.de/10012805414
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