| bibtype |
J -
Journal Article
|
| ARLID |
0376758 |
| utime |
20240103200847.2 |
| mtime |
20120608235959.9 |
| title
(primary) (eng) |
Empirical Estimates in Economic and Financial Optimization Problems |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0293025 |
| ISSN |
1212-074X |
| title
|
Bulletin of the Czech Econometric Society |
| volume_id |
19 |
| volume |
29 (2012) |
| page_num |
50-69 |
|
| keyword |
stochastic programming |
| keyword |
empirical estimates |
| keyword |
moment generating functions |
| keyword |
stability |
| keyword |
Wasserstein metric |
| keyword |
L1-norm |
| keyword |
Lipschitz property |
| keyword |
consistence |
| keyword |
convergence rate |
| keyword |
normal distribution |
| keyword |
Pareto distribution |
| keyword |
Weibull distribution |
| keyword |
distribution tails |
| keyword |
simulation |
| author
(primary) |
| ARLID |
cav_un_auth*0108104 |
| name1 |
Houda |
| name2 |
Michal |
| full_dept (cz) |
Ekonometrie |
| full_dept (eng) |
Department of Econometrics |
| department (cz) |
E |
| department (eng) |
E |
| institution |
UTIA-B |
| full_dept |
Department of Econometrics |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101122 |
| name1 |
Kaňková |
| name2 |
Vlasta |
| full_dept (cz) |
Ekonometrie |
| full_dept |
Department of Econometrics |
| department (cz) |
E |
| department |
E |
| institution |
UTIA-B |
| full_dept |
Department of Econometrics |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| project_id |
GAP402/10/1610 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0263483 |
|
| project |
| project_id |
GAP402/11/0150 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0273629 |
|
| project |
| project_id |
GAP402/10/0956 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0263482 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
Many applications from economic and nancial practice lead to optimization problems depending on a probability measure. A complete knowledge of the underlying measure is a necessary assumption to determine an exact optimal solution and an exact optimal value. Since this condition is not usually fullled, the solution is often determined using empirical data. Estimates of the optimal value and the optimal solution sets can be obtained by this approach only. Many eorts has been paid to the investigation of the above mentioned estimates. Especially the consistency and the convergence rate have been investigated. However, it was mostly done for classical problems and underlying distributions with thin tails. The aim of this paper is to analyze these estimates from the point of the distribution tails. To this end, first, we recall some known results. We recall stability results based on the Wasserstein metric corresponding to L1 norm and employ them to the case of heavy tails. |
| reportyear |
2013 |
| RIV |
BB |
| num_of_auth |
2 |
| permalink |
http://hdl.handle.net/11104/0209079 |
| arlyear |
2012 |
| mrcbU63 |
cav_un_epca*0293025 Bulletin of the Czech Econometric Society 1212-074X Roč. 19 č. 29 2012 50 69 |
|