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Prediction of Claims in Export Credit Finance: A Comparison of Four Machine Learning Techniques. (2020). Krummaker, Simone ; Bartl, Mathias.
In: Risks.
RePEc:gam:jrisks:v:8:y:2020:i:1:p:22-:d:326934.

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  1. Normal Approximation for Fire Incident Simulation Using Permanental Cox Processes. (2023). Wiroonsri, Nathakhun ; Thongtha, Dawud.
    In: Methodology and Computing in Applied Probability.
    RePEc:spr:metcap:v:25:y:2023:i:1:d:10.1007_s11009-023-10004-7.

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  2. Can Regulation Affect the Solvency of Insurers? New Evidence from European Insurers. (2023). Agiropoulos, Charalampos ; Chen, James Ming ; Poufinas, Thomas ; Siopi, Evaggelia.
    In: International Advances in Economic Research.
    RePEc:kap:iaecre:v:29:y:2023:i:1:d:10.1007_s11294-023-09867-w.

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  4. Evaluation of the Accuracy of Machine Learning Predictions of the Czech Republic’s Exports to the China. (2021). Krulicky, Tomas ; Rowland, Zuzana ; Suler, Petr.
    In: JRFM.
    RePEc:gam:jjrfmx:v:14:y:2021:i:2:p:76-:d:496972.

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  5. Special Issue “Machine Learning in Insurance”. (2020). Nielsen, Jens Perch ; Kyriakou, Ioannis ; Asimit, Vali.
    In: Risks.
    RePEc:gam:jrisks:v:8:y:2020:i:2:p:54-:d:362822.

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References

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  1. [CrossRef] 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
    Paper not yet in RePEc: Add citation now
  2. [CrossRef] KNIME. 2019. End to End Data Science. Available online: https://www.knime.com/ (accessed on 8 December 2019).
    Paper not yet in RePEc: Add citation now
  3. [CrossRef] Razi, Muhammad A., and Kariakose Athappilli. 2005. A comparative predictive analysis of neural networks (NNs), nonlinear regression and classification and regression tree (CART) models. Expert Systems with Applications 29: 65–74. [CrossRef] Rokach, Lior, and Oded Maimon. 2005. Top-Down Induction of Decision Trees Classifiers—A Survey.
    Paper not yet in RePEc: Add citation now
  4. [CrossRef] Wüthrich, Mario V. 2018b. Neural networks applied to chain–ladder reserving. European Actuarial Journal 8: 407–36.
    Paper not yet in RePEc: Add citation now
  5. Abraham, Filip, and Gerda Dewit. 2000. Export Promotion Via Official Export Insurance. Open Economies Review 1: 5–26. [CrossRef] Athey, Susan. 2018. The impact of machine learning on economics. In The Economics of Artificial Intelligence: An Agenda. Chicago: University of Chicago Press, Available online: https://www.nber.org/chapters/c14009 (accessed on 26 February 2020).

  6. Auboin, Marc, and Martina Engemann. 2014. Testing the trade credit and trade link: Evidence from data on export credit insurance. Review of World Economics 150: 715–43. [CrossRef] Baudry, Maximillien, and Christian Y. Robert. 2019. A machine learning approach for individual claims reserving in insurance. Applied Stochastic Models in Business and Industry 35: 1127–55. [CrossRef] Berne Union. 2019a. About the Berne Union. Available online: https://www.berneunion.org/Stub/Display/8 (accessed on 29 November 2019).

  7. Auboin, Marc. 2009. Restoring Trade Finance during a Period of Financial Crisis: Stock-Taking of Recent Initiatives. WTO Staff Working Paper ERSD-2009-16. Available online: https://www.wto-ilibrary.org/economicresearch -and-trade-policy-analysis/restoring-trade-finance-during-a-period-of-financial-crisis_4de92d90-en (accessed on 16 July 2019).

  8. Berne Union. 2019b. Press Release 11/04/2019. Available online: http://cdn.berneunion.org/assets/Images/Berne% 20Union%20Singapore%20SM%20Press%20Release.pdf (accessed on 29 November 2019).
    Paper not yet in RePEc: Add citation now
  9. Berne Union. 2019c. BU Spring Meeting Newsletter, Berne Union Statistics 2018 YE Commentary. Available online: http://cdn.berneunion.org/assets/Images/3923e9fd-215d-474e-80c9-6d10b984c302.zip (accessed on 29 November 2019).
    Paper not yet in RePEc: Add citation now
  10. Berne Union. 2019d. About Export Credit Insurance. Available online: https://www.berneunion.org/Stub/Display/ 17 (accessed on 23 December 2019).
    Paper not yet in RePEc: Add citation now
  11. Breiman, Leo. 2001. Random Forests. Machine Learning 45: 5–32. [CrossRef] Charte, David, Francisco Charte, Salvador García, and Francisco Herrera. 2019. A snapshot on nonstandard supervised learning problems: Taxonomy, relationships, problem transformations and algorithm adaptations.
    Paper not yet in RePEc: Add citation now
  12. Egger, Peter, and Thomas Url. 2006. Public Export Credit Guarantees and Foreign Trade Structure: Evidence from Austria. The World Economy 29: 399–418. [CrossRef] England, Peter D., and Richard J. Verrall. 2002. Stochastic claims reserving in general insurance. Journal of the Institute of Actuaries 129: 1–76. [CrossRef] European Commission. 2012. Study on Short-Term Trade Finance and Credit Insurance in the European Union. Prepared by International Financial Consulting Ltd. for the European Commission. Available online: https://op.europa.eu/en/publication-detail/-/publication/a1ae8477-930c-44df-8c41-b38fb9ad94a4/ language-en/format-PDF/source-112097066 (accessed on 27 January 2020).

  13. Fang, Kuangnan, Yefei Jiang, and Malin Song. 2016. Customer profitability forecasting using Big Data analytics: A case study of the insurance industry. Computers & Industrial Engineering 101: 554–64. [CrossRef] Fauzan, Muhammad A., and Hendri Murfi. 2018. The Accuracy of XGBoost for Insurance Claim Prediction. International Journal of Advances in Soft Computing & Its Applications 10: 159–71. Available online: http://home.ijasca.com/data/ documents/11_IJASCA_The-accuracy-of-XGBoost_159-171.pdf (accessed on 27 February 2020).
    Paper not yet in RePEc: Add citation now
  14. Felbermayr, Gabriel J., and Erdal Yalcin. 2013. Export Credit Guarantees and Export Performance: An Empirical Analysis for Germany. The World Economy 36: 967–99. [CrossRef] International Monetary Fund, International Labour Office, Organisation for Economic Co-Operation and Development, Statistical Office of the European Communities, United Nations, and World Bank. 2009. Export and Import Price Index Manual. Available online: https://www.imf.org/external/np/sta/xipim/pdf/xipim.pdf (accessed on 27 February 2020).

  15. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews) 35: 476–87. [CrossRef] Singh, Amanpreet, Narina Thakur, and Aakanksha Sharme. 2016. A Review of Supervised Machine Learning Algorithms. Paper presented at the 10th INDIACom; 2016 3rd International Conference on Computing for Sustainable Global Development, New Delhi, India, March 16–18; Edited by M. N. Hoda. Piscataway: IEEE, pp. 1310–15. Available online: https://ieeexplore.ieee.org/abstract/document/7724478 (accessed on 26 February 2020).
    Paper not yet in RePEc: Add citation now
  16. Korinek, Jane, Jean Le Cocguic, and Patricia Sourdin. 2010. The Availability and Cost of Short-Term Trade Finance and Its Impact on Trade OECD Trade Policy Papers No. 98. OECD Trade Policy Papers. Available online: https://www.oecd-ilibrary.org/trade/the-availability-and-cost-of-short-term-trade-finance-and-itsimpact -on-trade_5kmdbg733c38-en (accessed on 27 February 2020).

  17. Krummaker, Simone. 2020. Export Credit Insurance Markets and Demand. In The Handbook of Global Trade Policy. Edited by Andreas Klasen. Chichester: Wiley & Sons, pp. 536–54.
    Paper not yet in RePEc: Add citation now
  18. Kuhn, Max, and Kjell Johnson. 2013. Applied Predictive Modeling. Corrected at 5th Printing. New York, Heidelberg, Dordrecht and London: Springer, Available online: https://link.springer.com/content/pdf/10.1007/978-1-46146849 -3.pdf (accessed on 26 February 2020).
    Paper not yet in RePEc: Add citation now
  19. LeCun, Yann, Yoshua Bengio, and Geoffrey Hinton. 2015. Deep learning. Nature 521: 436–44. [CrossRef] [PubMed] Liaw, Andy, and Matthew Wiener. 2002. Classification and regression by random Forest. R News 2: 18–22.
    Paper not yet in RePEc: Add citation now
  20. Lorena, Ana C., Luis F. O. Jacintho, Marinez F. Siqueira, Renato de Giovanni, Lúcia G. Lohmann, André C.P.L.F. de Carvalho, and Missae Yamamoto. 2011. Comparing machine learning classifiers in potential distribution modelling. Expert Systems with Applications 38: 5268–75. [CrossRef] Morel, Fabrice. 2011. Credit Insurance in Support of International Trade: Observations throughout the Crisis. In Trade Finance during the Great Trade Collapse. Edited by Jean-Pierre Chaffour and Mariem Malouche. Washington, DC: World Bank, pp. 337–56.
    Paper not yet in RePEc: Add citation now
  21. Moser, Christoph, Thorsten Nestmann, and Michael Wedow. 2008. Political Risk and Export Promotion: Evidence from Germany. The World Economy 31: 781–803. [CrossRef] Mullainathan, Sendhil, and Jann Spiess. 2017. Machine Learning: An Applied Econometric Approach. Journal of Economic Perspectives 31: 87–106. [CrossRef] NodePit. 2019. NodePit for KNIME. Available online: https://nodepit.com/nodepit-for-knime (accessed on 8 December 2019).

  22. OECD. 2018. Arrangement on Officially Supported Export Credits. TAD/PG(2018)1. Available online: http://www. oecd.org/officialdocuments/publicdisplaydocumentpdf/?doclanguage=en&cote=tad/pg(2018)1 (accessed on 15 July 2019).
    Paper not yet in RePEc: Add citation now
  23. Olden, Julien D., and Donald A. Jackson. 2002. Illuminating the “black box”: A randomization approach for understanding variable contributions in artificial neural networks. Ecological Modelling 154: 135–50.
    Paper not yet in RePEc: Add citation now
  24. Progress in Artificial Intelligence 8: 1–14. [CrossRef] Claveria, Oscar, and Salvador Torra. 2014. Forecasting tourism demand to Catalonia: Neural networks vs. time series models. Economic Modelling 36: 220–28. [CrossRef] Cohen, Jacob. 1960. A coefficient of agreement for nominal scales. Educational and Psychological Measurement 20: 37–46. [CrossRef] Drysdale, David. 2015. Why the OECD Arrangement Works (Even Though It Is Only Soft Law). In The Future of Foreign Trade Support. Edited by Andreas Klasen and Fiona Bannert. Durham: Wiley, pp. 5–7.

  25. Risks 2020, 8, 22 26 of 27 Iounousse, Jawad, Salah Er-Raki, Ahmed El Motassadeq, and Hassan Chehouani. 2015. Using an unsupervised approach of Probabilistic Neural Network (PNN) for land use classification from multitemporal satellite images. Applied Soft Computing 30: 1–13. [CrossRef] Kiefer, Nicholas M. 2009. Default estimation for low-default portfolios. Journal of Empirical Finance 16: 164–73.
    Paper not yet in RePEc: Add citation now
  26. Risks 2020, 8, 22 27 of 27 Thesmar, David, David Sraer, Lisa Pinheiro, Nick Dadson, Razvan Veliche, and Paul Greenberg. 2019. Combining the Power of Artificial Intelligence with the Richness of Healthcare Claims Data: Opportunities and Challenges. Pharmacoeconomics 37: 745–52. [CrossRef] [PubMed] van der Veer, Koen J. M. 2015. The Private Export Credit Insurance Effect on Trade. Journal of Risk and Insurance 82: 601–24. [CrossRef] van der Veer, Koen J. M. 2019. Loss Shocks and the Quantity and Price of Private Export Credit Insurance: Evidence from a Global Insurance Group. Journal of Risk and Insurance 86: 73–102. [CrossRef] Varian, Hal R. 2014. Big Data: New Tricks for Econometrics. Journal of Economic Perspectives 28: 3–28. [CrossRef] Verall, Richard J., Ola Hossjer, and Susanna Bjorkwall. 2012. Modelling Claims Run-off with Reversible Jump Markov Chain Monte Carlo Methods. ASTIN Bulletin 42: 35–58.

  27. Specht, Donald F. 1990. Probabilistic neural networks. Neural Networks 3: 109–18. Available online: https: //www.sciencedirect.com/science/article/pii/089360809090049Q (accessed on 26 February 2020). [CrossRef] Stephens, Malcolm, and Diana Smallridge. 2002. A Study on the Activities of IFIs in the Area of Export Credit Insurance and Export Finance. INTAL-ITD-STA Occasional Paper 16. Inter-American Development Bank. Available online: https://publications.iadb.org/en/publication/study-activities-ifis-area-export-creditinsurance -and-export-finance (accessed on 26 February 2020).

  28. Wüthrich, Mario V. 2018a. Machine learning in individual claims reserving. Scandinavian Actuarial Journal 6: 465–80.

  29. Wanke, Peter, and Carlos P. Barros. 2016. Efficiency drivers in Brazilian insurance: A two-stage DEA meta frontier-data mining approach. Economic Modelling 53: 8–22. [CrossRef] Weerasinghe, K. P. M. L. P., and M. C. Wijegunasekara. 2016. A Comparative Study of Data Mining Algorithms in the Prediction of Auto Insurance Claims. European International Journal of Science and Technology 5: 47–54. Available online: https://www.eijst.org.uk/images/frontImages/gallery/Vol._5_No._1/6._47-54.pdf (accessed on 26 February 2020).

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    In: Journal of Economic Behavior & Organization.
    RePEc:eee:jeborg:v:156:y:2018:i:c:p:86-102.

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  48. Machine Learning Estimation of Heterogeneous Causal Effects: Empirical Monte Carlo Evidence. (2018). Strittmatter, Anthony ; Lechner, Michael ; Knaus, Michael.
    In: Papers.
    RePEc:arx:papers:1810.13237.

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  49. .

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