Items where Author is "Binner, JM"

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Number of items: 23.

Journal article

BINNER, J.M., GAZELY, A.M. and KENDALL, G., 2009. An evaluation of UK risky money: an artificial intelligence approach. Global Business and Economics Review, 11 (1), pp. 1-18.

BINNER, J.M., GAZELY, A.M. and KENDALL, G., 2008. Evaluating the performance of a EuroDivisia index using artificial intelligence techniques. International Journal of Automation and Computing, 5 (1), pp. 58-62.

BISSOONDEEAL, R.K., BINNER, J.M., BHURUTH, M., GAZELY, A. and MOOTANAH, V.P., 2008. Forecasting exchange rates with linear and nonlinear models. Global Business and Economics Review, 10 (4), pp. 414-429.

BINNER, J.M., KENDALL, G. and GAZELY, A., 2005. Evolving neural networks with evolutionary strategies: a new application to Divisia money. Advances in Econometrics, 19, pp. 127-143.

BINNER, J.M., BISSOONDEEAL, R.K., ELGER, T., GAZELY, A.M. and MULLINEUX, A.W., 2005. A comparison of linear forecasting models and neural networks: an application to Euro inflation and Euro Divisia. Applied Economics, 37 (6), pp. 665-680. ISSN 0003-6846

BINNER, J.M., BISSOONDEEAL, R.K. and MULLINEUX, A.W., 2005. A composite leading indicator of the inflation cycle for the Euro area. Applied Economics, 37 (11), pp. 1257-1266. ISSN 0003-6846

BINNER, J.M., KENDALL, G. and GAZELY, A., 2004. Co-evolving neural networks with evolutionary strategies: a new application to Divisia money. Applications of Artificial Intelligence in Finance and Economics, 19, pp. 127-143. ISSN 0731-9053

GAZELY, A.M., BINNER, J.M. and ELGER, T., 2004. Dynamic neural network based inflation forecasts for the UK. Global Business and Economics Review Anthology, 2004.

BINNER, J.M., GAZELY, A.M., CHEN, S.H. and CHIE, B.T., 2004. Financial innovation and Divisia money in Taiwan: comparative evidence from neural network and vector error-correction forecasting models. Contemporary Economic Policy, 22 (2), pp. 213-224. ISSN 1074-3529

BINNER, J.M., ELGER, T., NILSSON, B. and TEPPER, J.A., 2004. Tools for non-linear time series forecasting in economics - an empirical comparison of regime switching vector autoregressive models and recurrent neural networks. Advances in Economics: Applications of Artificial Intelligence in Finance and Economics (19), pp. 71-91. ISSN 0731-9053

BINNER, J.M., ELGER, T., NILSSON, B. and TEPPER, J.A., 2004. Tools for non-linear time series forecasting in economics - an empirical comparison of regime switching vector autoregressive models and recurrent neural networks. Advances in Economics: Applications of Artificial Intelligence in Finance and Economics (19), pp. 71-91. ISSN 0731-9053

BINNER, J.M., GAZELY, A. and CHEN, S.H., 2002. Financial innovation in Taiwan: an application of neural networks to the broad monetary aggregates. European Journal of Finance, 8 (2), pp. 238-247. ISSN 1351-847X

LEE, C.B., FLETCHER, L.R., BINNER, J.M. and MURPHY, W.D., 2001. Market share in a post-entry game. Journal of the Operational Research Society, 52 (5), pp. 503-510. ISSN 0160-5682

BINNER, J.M. and DNES, A.W., 2001. Marriage, divorce, and legal change: new evidence from England and Wales. Economic Inquiry, 39 (2), pp. 298-306. ISSN 0095-2583

Chapter in book

KENDALL, G., BINNER, J.M. and GAZELY, A., 2004. Evolutionary strategies vs neural networks: an inflation forecasting experiment. In: S.H. CHEN and P. WANG, eds., Computational intelligence in economics and finance. Berlin: Springer, pp. 358-368. ISBN 3540440984

BINNER, J.M., ELGER, T., NILSSON, B. and TEPPER, J.A., 2004. Tools for non-linear time series forecasting in economics - an empirical comparison of regime switching vector autoregressive models and recurrent neural networks. In: J.M. BINNER, G. KENDALL and S.H. CHEN, eds., Applications of Artificial Intelligence in Finance and Economics. Amsterdam: Jai-Elsevier, pp. 71-91. ISBN 0762311509

KENDALL, G., BINNER, J.M. and GAZELY, A., 2003. Evolutionary strategies: a new macroeconomics policy tool? In: R. NECK, ed., Modeling and control of economic systems 2001: (SME 2001). Elsevier, pp. 377-382. ISBN 008043858x

KENDALL, D., BINNER, J.M. and GAZELY, A., 2001. Evolutionary strategies vs. neural networks: an inflation forecasting experiment. In: H.R. ARABNIA, ed., International conference on artificial intelligence; IC-AI'2001, Las Vegas, USA, 2001. CSREA Press, pp. 609-615. ISBN 1892512815

Conference contribution

GAZELY, A.M. and BINNER, J.M., 2004. Adoption of the harmonised index of consumer prices: a neural network approach. In: International Conference on Computational Intelligence for Modelling Control and Automation, CIMCA, July 2004.

BINNER, J.M., BISSOONDEEAL, R.K., ELGER, T., GAZELY, A.M. and MULLINEUX, A.W., 2004. Neural networks for macroeconomic analysis: forecasting euro inflation. In: International Conference on Computational Intelligence for Modelling Control and Automation, CIMCA, July 2004.

KENDALL, D., BINNER, J.M. and GAZELY, A., 2003. Evolutionary Strategies: a new macroeconomic policy tool? In: Modelling and Control of Economic Systems, Klagenfurt, Austria.

BINNER, J.M., CHEN, S., ELGAR, T., NILSSON, B. and TEPPER, J.A., 2003. An inflation forecasting experiment using non-linear dynamic models. In: Proceedings of the 2003 International Conference on Artificial Intelligence: Applications of AI in Finance and Economics, Las Vegas, USA.

BINNER, J.M., GAZELY, A. and CHEN, S.H., 2001. Neural networks, VECM's and Divisia money: evidence from Taiwan. In: 2nd CeNDEF Workshop on Economic Dynamics, Amsterdam, 2001, Amsterdam.

This list was generated on Mon Dec 9 15:29:49 2019 UTC.