LUP Statistics
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
Downloads
| Total | This Year | This Month |
| 1151 | 78 | 1 |
Sweden ![]() |
213 (19%) |
United States of America ![]() |
114 (10%) |
South Africa ![]() |
72 (6%) |
United Kingdom of Great Britain and Northern Ireland ![]() |
64 (6%) |
Germany ![]() |
59 (5%) |
China ![]() |
58 (5%) |
Unknown ![]() |
43 (4%) |
India ![]() |
31 (3%) |
France ![]() |
30 (3%) |
Italy ![]() |
25 (2%) |
Pakistan ![]() |
23 (2%) |
Canada ![]() |
22 (2%) |
Brazil ![]() |
22 (2%) |
Norway ![]() |
21 (2%) |
Denmark ![]() |
18 (2%) |
Switzerland ![]() |
16 (1%) |
Iran ![]() |
16 (1%) |
Hong Kong (China) ![]() |
16 (1%) |
Netherlands (Kingdom of the) ![]() |
15 (1%) |
Viet Nam ![]() |
15 (1%) |
Greece ![]() |
15 (1%) |
Indonesia ![]() |
14 (1%) |
Malaysia ![]() |
13 (1%) |
Spain ![]() |
13 (1%) |
Australia ![]() |
10 (1%) |
Austria ![]() |
9 (1%) |
Japan ![]() |
9 (1%) |
Poland ![]() |
9 (1%) |
Tunisia ![]() |
8 (1%) |
Taiwan (China) ![]() |
8 (1%) |
Russian Federation ![]() |
7 (1%) |
Turkiye ![]() |
7 (1%) |
Romania ![]() |
6 (1%) |
Hungary ![]() |
6 (1%) |
Finland ![]() |
6 (1%) |
Lithuania ![]() |
6 (1%) |
Botswana ![]() |
5 (0%) |
Portugal ![]() |
5 (0%) |
Algeria ![]() |
5 (0%) |
Serbia ![]() |
5 (0%) |
Mexico ![]() |
4 (0%) |
Rwanda ![]() |
4 (0%) |
Argentina ![]() |
4 (0%) |
Singapore ![]() |
4 (0%) |
Belgium ![]() |
4 (0%) |
Ireland ![]() |
4 (0%) |
Philippines ![]() |
4 (0%) |
Morocco ![]() |
4 (0%) |
Mauritius ![]() |
3 (0%) |
Czechia ![]() |
3 (0%) |
United Arab Emirates ![]() |
3 (0%) |
Peru ![]() |
3 (0%) |
Kenya ![]() |
3 (0%) |
XK ![]() |
2 (0%) |
Zimbabwe ![]() |
2 (0%) |
Latvia ![]() |
2 (0%) |
South Korea ![]() |
2 (0%) |
Ghana ![]() |
2 (0%) |
Thailand ![]() |
2 (0%) |
New Zealand ![]() |
2 (0%) |
Armenia ![]() |
2 (0%) |
Luxembourg ![]() |
2 (0%) |
Colombia ![]() |
2 (0%) |
Nigeria ![]() |
2 (0%) |
Mongolia ![]() |
2 (0%) |
Iraq ![]() |
2 (0%) |
Syrian Arab Republic ![]() |
2 (0%) |
Kazakhstan ![]() |
2 (0%) |
Macedonia ![]() |
1 (0%) |
Cameroon ![]() |
1 (0%) |
Angola ![]() |
1 (0%) |
Kyrgyzstan ![]() |
1 (0%) |
Lebanon ![]() |
1 (0%) |
Croatia ![]() |
1 (0%) |
Bulgaria ![]() |
1 (0%) |
Slovenia ![]() |
1 (0%) |
Belarus ![]() |
1 (0%) |
Congo ![]() |
1 (0%) |
Moldova, The Republic of ![]() |
1 (0%) |
Ecuador ![]() |
1 (0%) |
Sri Lanka ![]() |
1 (0%) |
Bangladesh ![]() |
1 (0%) |
Uganda ![]() |
1 (0%) |


















































































