A recurrent neural network approach to quantification of risks surrounding the Swedish property market

A recurrent neural network approach to quantification of risks surrounding the Swedish property market

As the real estate market plays a central role in a countries financial situation, as a life insurer, a bank and a property developer, Skandia wants a method for better assessing the risks connected to the real estate market. The goal of this paper is to increase the understanding of property market...

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Bibliographic Details
Main Author:	Vikström, Filip
Format:	Others
Language:	English
Published:	Umeå universitet, Institutionen för matematik och matematisk statistik 2016
Subjects:	Artificial neural networks Machine learning RNN
Online Access:	http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-126192

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