Can big data help predict financial market dynamics? : evidence from the Korean stock market
Dong-Jin Pyo
| Year of publication: |
2017
|
|---|---|
| Authors: | Pyo, Dong-Jin |
| Published in: |
East Asian economic review. - Sejong-si : Korea Institute for International Economic Policy, ISSN 2508-1640, ZDB-ID 2866615-X. - Vol. 21.2017, 2, p. 147-165
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| Subject: | Big Data | Dynamic Correlation | NAVER DataLab | Stock Return | KOSPI | Big data | Südkorea | South Korea | Börsenkurs | Share price | Kapitaleinkommen | Capital income | Aktienmarkt | Stock market | Finanzmarkt | Financial market | Korrelation | Correlation | Data Mining | Data mining | Prognoseverfahren | Forecasting model |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.11644/KIEP.EAER.2017.21.2.327 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011701207