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Record
Title
Predicting Exchange Rate Value-at-Risk and Expected Shortfall: A Neural Network Approach
Type
Student Paper
Publ. year
2019
Author/s
Bijelic, Anna; Ouijjane, Tilila
Department/s
Department of Economics
In LUP since
2019-08-08
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1063 64 0
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Sweden 207 (19%)
United States of America 97 (9%)
South Africa 68 (6%)
United Kingdom of Great Britain and Northern Ireland 59 (6%)
Germany 56 (5%)
China 53 (5%)
Unknown 42 (4%)
France 29 (3%)
Italy 25 (2%)
Pakistan 23 (2%)
Canada 21 (2%)
India 20 (2%)
Denmark 18 (2%)
Switzerland 16 (2%)
Hong Kong (China) 16 (2%)
Brazil 16 (2%)
Norway 15 (1%)
Greece 15 (1%)
Spain 14 (1%)
Indonesia 14 (1%)
Malaysia 14 (1%)
Iran 13 (1%)
Netherlands (Kingdom of the) 13 (1%)
Australia 10 (1%)
Viet Nam 10 (1%)
Japan 9 (1%)
Poland 9 (1%)
Taiwan (China) 8 (1%)
Austria 8 (1%)
Tunisia 8 (1%)
Russian Federation 7 (1%)
Turkiye 7 (1%)
Finland 6 (1%)
Romania 6 (1%)
Hungary 6 (1%)
Lithuania 6 (1%)
Algeria 5 (0%)
Botswana 5 (0%)
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Singapore 4 (0%)
Mexico 4 (0%)
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Rwanda 4 (0%)
Kenya 3 (0%)
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Cameroon 1 (0%)
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Macedonia 1 (0%)
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Colombia 1 (0%)
Uganda 1 (0%)
Lebanon 1 (0%)
Sri Lanka 1 (0%)
Congo 1 (0%)
Bulgaria 1 (0%)
About
The download statistics shown here have been collected since the launch of LUP in October 2007 and are updated every night. Statistics are available for all records with open access fulltexts. Efforts have been made to exclude downloads by robots and track irregular download activities.

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The information on downloads per country is based on the geolocation of IP addresses and may not be completely accurate. The statistics presented here may also change retroactively when the calculation process is improved to provide more accurate results.

Statistics Last Updated
Sun Aug 3 08:44:48 2025