Publication:
The forecasting of stock prices in ıse ınsurance ındex with artificial neural networks

dc.contributor.authorCEM KARTAL
dc.contributor.authorAhmet Tayfur AKCAN
dc.contributor.institutionBAHÇEŞEHİR ÜNİVERSİTESİ
dc.contributor.institutionKİLİS 7 ARALIK ÜNİVERSİTESİ
dc.date.accessioned2025-09-20T20:03:58Z
dc.date.issued2011
dc.date.submitted29.07.2022
dc.description.abstractInsurance sector has an important role in financial markets.Insurance as a risk management tool has become an important part of today's business world.Publicly traded companies in the sector also seeing great interest by investors, But, becauseof both economic and sectoral fluctuations, volatility in insurancecompanies' stock prices and returns is observed. Therefore, it is an important issue forinvestors to predict stock prices. In this study, stock prices of seven companies which formISE Insurance Sector Index tried to be estimated with artificial neural network models. Thefindings showed that all the predictions to be successful, especially on predictions that up toone month are quite successful.
dc.identifier.endpage40
dc.identifier.issn2146-3042
dc.identifier.issue51
dc.identifier.startpage27
dc.identifier.urihttps://hdl.handle.net/20.500.14719/5931
dc.identifier.volume0
dc.relation.journalMuhasebe ve Finansman Dergisi
dc.subjectBilgisayar Bilimleri
dc.subjectYazılım Mühendisliği
dc.subjectİşletme
dc.subjectİktisat
dc.titleThe forecasting of stock prices in ıse ınsurance ındex with artificial neural networks
dc.typeResearch Article
dcterms.referencesBraun, H. - Lai, L. L., (2005), A Neural Network Linking Process for Insurance Claims , Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, Guangzhou, 18-21 August.,Başbakanlık Hazine Müsteşarlığı Sigorta Denetleme Kurulu, (2009), Türkiye de Sigortacılık ve Bireysel Emeklilik Faaliyetleri Hakkında Rapor ,Bayramoğlu, F. M. - Hamzaçebi C., (2010), Ham Petrol Fiyat Hareketlerinin Sınıflandırılmasında Yapay Zeka Teknolojilerinin Kullanımı, İleri Teknolojiler Çalıştayı 2010 Bildiriler Kitabı, 30 Nisan, Kocaeli.,Bolgün K. E., - Akçay M. B., (2005), Risk Yönetimi , Scala Yayıncılık,İstanbul,Chiet, N.S.- Jaama, S. H.- Noriszura, I.- Shamsuddin, S. M., (2005), Insolvency Prediction Model Using Artificial Neural Network for Malaysian General Insurers , IEEE, 978- 1-4244-5612-3/09,Dalkilic T. E.- Tank F.- Kula K. S., (2009), Neural Networks Approach for Determining Total Claim Amounts In Insurance , Insurance: Mathematics and Economics, Vol. 45, No.2, p.236-241,Gonzalez, S., (2000-07), Neural Networks for Macroeconomic Forecasting: A Complementary Approach to Linear Regression Models , Working Paper,Güvel, E. A. -Güvel, A. Ö., (2008), Sigortacılık, 4. Baskı, Seçkin Yayıncılık,İstanbul Hamzaçebi, C., (2008), Improving Artificial Neural Networks Performance in Seasonal Time Series Forecasting , Information Sciences, Vol. 178, No. 23, p.4550-4559,Haykin, S., (1999), Neural Networks: A Comprehensive Foundation, 2nd Edition, Pearson Prentice Hall,Hsu, K., (2011), Using a Back Propagation Network Combined with Grey Clustering to Forecast Policyholder Decision to Purchase Investment-Inked Insurance , Expert Systems with Applications, Vol. 38, No.6, p.6736- 6747,İMKB, (2011), Endeks Kapsamındaki Şirketler , www.imkb.gov.tr/Data/StocksData.aspx, (Erişim Tarihi: 03.04.2011).,Kaastra I. ve Boyd M., (1996), Designing a Neural Network for Forecasting Financial and Economic Time Series, Neurocomputing, Vol. 10, p.215-236,Kramer, B., (1995), A Neural Network Model for the Evaluation of Dutch Non-life Insurance Companies , IEEE, 0-8186-7174-2/95,Shah, P. -Guez A., (2009), Mortality Forecasting Using Neural Networks and an Application to Cause-Specific Data for Insurance Purposes , Journal of Forecasting, Vol. 28, No.6, p.535- 548,Yan, W. - Bonissone, P. P., (2006), Designing a Neural Network Decision System for Automated Insurance Underwriting , 2006 International Joint Conference on Neural Networks Sheraton Vancouver Wall Centre Hotel, Vancouver, BC, Canada July 16-21,Yoo, J. - Kang B., (1994), A Hybrid Approach to Auto-Insurance Claim Processing System , IEEE, 0-7803-2129-4/94
dspace.entity.typePublication
local.indexed.atTRDizin

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