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Record
Title
Forecasting Swedish Stock Market Volatility and Value-at-Risk: A Comparison of EWMA and GARCH Models
Type
Student Paper
Publ. year
2017
Author/s
Nilsson, Carl
Department/s
Department of Economics
In LUP since
2017-09-12
Downloads

Total This Year This Month
1002 50 6
Downloads per country

United Kingdom of Great Britain and Northern Ireland 171 (17%)
Sweden 148 (15%)
United States of America 77 (8%)
China 66 (7%)
Germany 65 (6%)
India 31 (3%)
Indonesia 31 (3%)
Netherlands (Kingdom of the) 25 (2%)
Taiwan (China) 22 (2%)
Brazil 21 (2%)
Italy 21 (2%)
South Africa 19 (2%)
Pakistan 19 (2%)
Turkiye 17 (2%)
Hong Kong (China) 17 (2%)
Poland 15 (1%)
Ireland 13 (1%)
Czechia 12 (1%)
Thailand 11 (1%)
Colombia 11 (1%)
France 10 (1%)
Austria 10 (1%)
Unknown 9 (1%)
Singapore 9 (1%)
Malaysia 9 (1%)
Finland 9 (1%)
Russian Federation 9 (1%)
Iran 8 (1%)
Australia 8 (1%)
Denmark 7 (1%)
Peru 7 (1%)
Ghana 6 (1%)
Viet Nam 6 (1%)
South Korea 5 (0%)
Spain 5 (0%)
Canada 5 (0%)
Portugal 4 (0%)
Kenya 4 (0%)
Switzerland 4 (0%)
Japan 4 (0%)
Belgium 3 (0%)
Argentina 3 (0%)
Nigeria 3 (0%)
Slovakia 3 (0%)
Mauritius 3 (0%)
Romania 3 (0%)
United Arab Emirates 2 (0%)
Zimbabwe 2 (0%)
Luxembourg 2 (0%)
Syrian Arab Republic 2 (0%)
Greece 2 (0%)
Norway 2 (0%)
Algeria 2 (0%)
Ukraine 2 (0%)
Hungary 1 (0%)
Mexico 1 (0%)
Morocco 1 (0%)
Oman 1 (0%)
Bahrain 1 (0%)
Kazakhstan 1 (0%)
Uruguay 1 (0%)
Egypt 1 (0%)
Tunisia 1 (0%)
Armenia 1 (0%)
Saudi Arabia 1 (0%)
Moldova, The Republic of 1 (0%)
Bangladesh 1 (0%)
Iraq 1 (0%)
Latvia 1 (0%)
New Zealand 1 (0%)
Bolivia 1 (0%)
Chile 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
Thu Aug 21 08:49:48 2025