Skip to main content
Record
Title
Are GARCH Models Appropriate for Analysing Volatility Structures in Fundamental Valuations of the OMXS30?
Type
Student Paper
Publ. year
2019
Author/s
Furenmo, Gustav
Department/s
Department of Statistics
In LUP since
2019-03-01
Downloads

Total This Year This Month
1282 31 1
Downloads per country

Sweden 277 (22%)
Italy 128 (10%)
United States of America 105 (8%)
Germany 64 (5%)
United Kingdom of Great Britain and Northern Ireland 64 (5%)
Netherlands (Kingdom of the) 44 (3%)
Denmark 41 (3%)
Poland 36 (3%)
South Africa 33 (3%)
China 29 (2%)
Indonesia 28 (2%)
France 27 (2%)
Unknown 23 (2%)
Malaysia 20 (2%)
Hong Kong (China) 19 (1%)
Nigeria 19 (1%)
Greece 17 (1%)
Canada 17 (1%)
India 14 (1%)
Singapore 13 (1%)
Romania 11 (1%)
Australia 11 (1%)
Turkiye 11 (1%)
Algeria 10 (1%)
Ghana 10 (1%)
Brazil 10 (1%)
South Korea 9 (1%)
Austria 9 (1%)
Mauritius 9 (1%)
Finland 9 (1%)
Spain 9 (1%)
Switzerland 8 (1%)
Portugal 8 (1%)
Taiwan (China) 7 (1%)
Czechia 7 (1%)
Viet Nam 6 (0%)
Kenya 6 (0%)
Colombia 6 (0%)
Iraq 6 (0%)
Iran 6 (0%)
Japan 6 (0%)
Sri Lanka 5 (0%)
Peru 5 (0%)
Thailand 5 (0%)
Morocco 5 (0%)
Norway 4 (0%)
Lithuania 4 (0%)
Russian Federation 4 (0%)
Belgium 4 (0%)
Chile 3 (0%)
Egypt 3 (0%)
Slovakia 3 (0%)
Tunisia 3 (0%)
Hungary 3 (0%)
Mexico 3 (0%)
Ethiopia 3 (0%)
Ireland 3 (0%)
Botswana 2 (0%)
Cote d'Ivoire 2 (0%)
Pakistan 2 (0%)
Ukraine 2 (0%)
Azerbaijan 2 (0%)
Cameroon 2 (0%)
Argentina 2 (0%)
Somalia 2 (0%)
Zimbabwe 2 (0%)
Albania 1 (0%)
Philippines 1 (0%)
Luxembourg 1 (0%)
Kazakhstan 1 (0%)
Madagascar 1 (0%)
Lebanon 1 (0%)
Bulgaria 1 (0%)
Venezuela 1 (0%)
Malawi 1 (0%)
Armenia 1 (0%)
Saudi Arabia 1 (0%)
Bangladesh 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.

About accessibility

Disclaimer
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
Sat Aug 16 08:39:21 2025