Forecasting Pakistan stock market volatility : evidence from economic variables and the uncertainty index
Year of publication: |
2022
|
---|---|
Authors: | Ghani, Maria ; Guo, Qiang ; Ma, Feng ; Li, Tao |
Published in: |
International review of economics & finance : IREF. - Amsterdam [u.a.] : Elsevier, ISSN 1059-0560, ZDB-ID 1137476-7. - Vol. 80.2022, p. 1180-1189
|
Subject: | Economic policy uncertainty | GARCH-MIDAS model | Macroeconomic variables | Stock market volatility | Volatilität | Volatility | Aktienmarkt | Stock market | Pakistan | Prognoseverfahren | Forecasting model | Zeitreihenanalyse | Time series analysis | Börsenkurs | Share price | Risiko | Risk | Wirtschaftspolitik | Economic policy | ARCH-Modell | ARCH model | Schätzung | Estimation | Wirkungsanalyse | Impact assessment |
-
Economic policy uncertainty and emerging stock market volatility
Ghani, Maria, (2024)
-
Li, Dongxin, (2023)
-
Liu, Zhenhua, (2022)
- More ...
-
Forecasting the Asian stock market volatility : evidence from WTI and INE oil futures
Ghani, Maria, (2024)
-
Less is more? : new evidence from stock market volatility predictability
Lu, Fei, (2023)
-
Economic policy uncertainty and the Chinese stock market volatility : novel evidence
Li, Tao, (2020)
- More ...