Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/inderscience-publishers/financial-implications-of-artificial-neural-networks-in-automobile-V6XFCbSxhu
References (29)
-
M. Zulkifli, Basri Shah, M. Norzaidi, S. Chong (2008)
Portfolio diversification: the role of information technology in future investment decision-makingInternational Journal of Electronic Finance, 2
-
Delvin Hawley, John Johnson, Dijjotam Raina (1990)
Artificial Neural Systems: A New Tool for Financial Decision-MakingFinancial Analysts Journal, 46
-
S. Chakraborty, S. Sharma (2007)
Prediction of corporate financial health by Artificial Neural NetworkInternational Journal of Electronic Finance, 1
-
H. White (1989)
Neural-network learning and statistics, 4
-
K. Kosmidou, C. Zopounidis (2008)
Predicting US commercial bank failures via a multicriteria approachInternational Journal of Risk Assessment and Management, 9
-
J. Lemaire (1985)
Automobile Insurance: Actuarial Models -
Donald Malecki, James Donaldson, R. Horn, Liability Underwriters (1978)
Commercial liability risk management and insurance -
N. Hassan, Shee Wong (2008)
The relationship between market sentiment and equity premium: an artificial neural network analysisInternational Journal of Electronic Finance, 2
-
J. Cummins, R. Derrig (1993)
Fuzzy Trends in Property-Liability Insurance Claim CostsJournal of Risk and Insurance, 60
-
Chin-Sheng Huang, R. Dorsey (1993)
Neural networks in financial distress prediction: an application to the life insurance industry -
Glenn Wood, Liability Underwriters (1990)
Personal Risk Management and Insurance -
L. Whitley, T. Starkweather, C. Bogart (1990)
Genetic algorithms and neural networks: optimizing connections and connectivityParallel Comput., 14
-
S. Subramoniam, M. Tounsi, K. Krishnankutty (2008)
The development of an intelligent agent prototype for mutual fund investmentInternational Journal of Electronic Finance, 2
-
F. Kitchens, John Johnson (2000)
Using artificial neural networks to predict losses in automobile insurance -
Yifei Wang, Yuan Liu (2008)
Study of Two-layer Dynamic Fuzzy Underwriting system in health insuranceInternational Journal of Biomedical Engineering and Technology, 1
-
A. Rocha (1992)
Neural Nets, 638
-
D. Barney (1993)
Modeling farm debt failure : the farmers home administration -
P. Lin, Jiah-Shing Chen (2008)
A genetic-based hybrid approach to corporate failure predictionInternational Journal of Electronic Finance, 2
-
Simon Kent, Nayna Patel (2006)
Artificial intelligence makes computers lazyInternational Journal of Industrial and Systems Engineering, 1
-
Roderick McDonald, D. Gibb (1957)
Lloyd's of London: A Study in Individualism -
R. Wilson, R. Sharda (1994)
Bankruptcy prediction using neural networksDecis. Support Syst., 11
-
Donna Retzlaff-Roberts, R. Puelz (1996)
Classification in automobile insurance using a DEA and discriminant analysis hybridJournal of Productivity Analysis, 7
-
S. Tewfik (2008)
Authentication of medicinal plant material by DNA fingerprintingWorld Review of Science, Technology and Sustainable Development, 5
-
D. Radev, I. Lokshina, V. Denchev (2007)
Queueing networks in equilibrium and Markov chains: numerical solution methodsWorld Review of Entrepreneurship, Management and Sustainable Development, 3
-
Randall Sexton, J. Gupta (2000)
Comparative evaluation of genetic algorithm and backpropagation for training neural networksInf. Sci., 129
-
Ken-ichi Funahashi (1989)
On the approximate realization of continuous mappings by neural networksNeural Networks, 2
-
K. Tam, M. Kiang (1992)
Managerial Applications of Neural Networks: The Case of Bank Failure PredictionsManagement Science, 38
-
D. Barney, O. Graves, John Johnson (1999)
The farmers home administration and farm debt failure predictionJournal of Accounting and Public Policy, 18
-
K. Smith‐Miles, R. Willis, M. Brooks (2000)
An analysis of customer retention and insurance claim patterns using data mining: a case studyJournal of the Operational Research Society, 51
- Publisher
- Inderscience Publishers
- Copyright
- Copyright © Inderscience Enterprises Ltd. All rights reserved
- ISSN
- 1746-0069
- eISSN
- 1746-0077
- DOI
- 10.1504/IJEF.2009.027853
- Publisher site
- See Article on Publisher Site
Abstract
In the insurance business, two things are considered when analysing losses: frequency of loss and severity of loss. Previous research investigated the use of artificial Neural Networks (NNs) to develop models as aids to the insurance underwriter when determining acceptability and price on insurance policies. This paper is a preliminary investigation into the financial impact of NN models as tools in underwriting of private passenger automobile insurance policies. Results indicate that an artificial NN underwriting model outperformed a linear model and a logistic model. Further research and investigation is warranted in this area.
Journal
International Journal of Electronic Finance – Inderscience Publishers
Published: Jan 1, 2009