| bibtype |
J -
Journal Article
|
| ARLID |
0381818 |
| utime |
20240103201340.9 |
| mtime |
20121030235959.9 |
| WOS |
000311003500019 |
| DOI |
10.1016/j.physa.2012.08.003 |
| title
(primary) (eng) |
Measuring capital market efficiency: Global and local correlations structure |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0257423 |
| ISSN |
0378-4371 |
| title
|
Physica. A : Statistical Mechanics and its Applications |
| volume_id |
392 |
| volume |
1 (2013) |
| page_num |
184-193 |
| publisher |
|
|
| keyword |
Capital market efficiency |
| keyword |
Fractal dimension |
| keyword |
Long-range dependence |
| keyword |
Short-range dependence |
| author
(primary) |
| ARLID |
cav_un_auth*0256902 |
| name1 |
Krištoufek |
| name2 |
Ladislav |
| 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*0101230 |
| name1 |
Vošvrda |
| name2 |
Miloslav |
| 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 |
GBP402/12/G097 |
| agency |
GA ČR |
| country |
CZ |
| ARLID |
cav_un_auth*0281000 |
|
| abstract
(eng) |
We introduce a new measure for capital market efficiency. The measure takes into consid- eration the correlation structure of the returns (long-term and short-term memory) and local herding behavior (fractal dimension). The efficiency measure is taken as a distance from an ideal efficient market situation. The proposed methodology is applied to a portfolio of 41 stock indices. We find that the Japanese NIKKEI is the most efficient market. From a geographical point of view, the more efficient markets are dominated by the European stock indices and the less efficient markets cover mainly Latin America, Asia and Oceania. The inefficiency is mainly driven by a local herding, i.e. a low fractal dimension. |
| reportyear |
2013 |
| RIV |
AH |
| num_of_auth |
2 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0212200 |
| mrcbT16-e |
PHYSICSMULTIDISCIPLINARY |
| mrcbT16-f |
1.684 |
| mrcbT16-g |
0.423 |
| mrcbT16-h |
8.III |
| mrcbT16-i |
0.02372 |
| mrcbT16-j |
0.473 |
| mrcbT16-k |
15866 |
| mrcbT16-l |
653 |
| mrcbT16-s |
0.657 |
| mrcbT16-z |
ScienceCitationIndex |
| mrcbT16-4 |
Q2 |
| mrcbT16-B |
54.929 |
| mrcbT16-C |
68.590 |
| mrcbT16-D |
Q3 |
| mrcbT16-E |
Q3 |
| arlyear |
2013 |
| mrcbU34 |
000311003500019 WOS |
| mrcbU63 |
cav_un_epca*0257423 Physica. A : Statistical Mechanics and its Applications 0378-4371 1873-2119 Roč. 392 č. 1 2013 184 193 Elsevier |
|