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Record
Title
A Black-Litterman portfolio allocation model combined with a Markov switching framework
Type
Student Paper
Publ. year
2018
Author/s
Skantze, Axel
Department/s
Mathematical Statistics
In LUP since
2018-05-11
Downloads

Total This Year This Month
1440 138 19
Downloads per country

United States of America 224 (16%)
Sweden 150 (10%)
Italy 100 (7%)
United Kingdom of Great Britain and Northern Ireland 86 (6%)
France 77 (5%)
China 68 (5%)
Germany 67 (5%)
South Korea 47 (3%)
Brazil 33 (2%)
Taiwan (China) 29 (2%)
Japan 28 (2%)
Thailand 25 (2%)
Canada 25 (2%)
Hong Kong (China) 25 (2%)
Switzerland 22 (2%)
Unknown 21 (1%)
Netherlands (Kingdom of the) 21 (1%)
India 20 (1%)
Norway 19 (1%)
Singapore 18 (1%)
Colombia 18 (1%)
Turkiye 18 (1%)
Spain 17 (1%)
Denmark 17 (1%)
Malaysia 17 (1%)
Peru 14 (1%)
South Africa 14 (1%)
Australia 13 (1%)
Indonesia 13 (1%)
Russian Federation 12 (1%)
Bosnia and Herzegovina 11 (1%)
Finland 11 (1%)
Croatia 10 (1%)
Greece 9 (1%)
Viet Nam 9 (1%)
Mauritius 8 (1%)
Lithuania 7 (0%)
Ireland 7 (0%)
Austria 7 (0%)
Iran 6 (0%)
Chile 6 (0%)
Poland 6 (0%)
Philippines 5 (0%)
Qatar 5 (0%)
Pakistan 4 (0%)
Bulgaria 4 (0%)
Mexico 4 (0%)
Argentina 3 (0%)
Zimbabwe 3 (0%)
Portugal 3 (0%)
Belgium 3 (0%)
Ghana 3 (0%)
Czechia 3 (0%)
Tunisia 3 (0%)
Georgia 3 (0%)
Kenya 2 (0%)
Luxembourg 2 (0%)
Israel 2 (0%)
Slovenia 2 (0%)
Bangladesh 2 (0%)
Bolivia 2 (0%)
Uruguay 2 (0%)
Morocco 2 (0%)
Armenia 2 (0%)
Latvia 2 (0%)
Kazakhstan 1 (0%)
Iraq 1 (0%)
Togo 1 (0%)
Cyprus 1 (0%)
Sri Lanka 1 (0%)
Montenegro 1 (0%)
Macao 1 (0%)
Hungary 1 (0%)
Ecuador 1 (0%)
Egypt 1 (0%)
Cayman Islands 1 (0%)
Nigeria 1 (0%)
United Arab Emirates 1 (0%)
Azerbaijan 1 (0%)
Kuwait 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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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
Wed Oct 15 08:48:24 2025