Climate risks and forecastability of the weekly state-level economic conditions of the United States
| Year of publication: |
2024
|
|---|---|
| Authors: | Cepni, Oguzhan ; Gupta, Rangan ; Liao, Wenting ; Ma, Jun |
| Published in: |
International review of finance : the official journal of the Asia Pacific Finance Association and the Nippon Finance Association. - Oxford [u.a.] : Wiley-Blackwell, ISSN 1468-2443, ZDB-ID 2034475-2. - Vol. 24.2024, 1, p. 154-162
|
| Subject: | climate risks | dynamic factor model with stochastic volatility | forecasting | panel predictive regression | state-level economic conditions | USA | United States | Prognoseverfahren | Forecasting model | Klimawandel | Climate change | Volatilität | Volatility | Risiko | Risk | Schätzung | Estimation | Stochastischer Prozess | Stochastic process | Frühindikator | Leading indicator | Prognose | Forecast |
-
Climate risks and forecastability of the weekly state-level economic conditions of the United States
Ҫepni, Oğuzhan, (2022)
-
Salisu, Afees A., (2023)
-
Ҫepni, Oğuzhan, (2022)
- More ...
-
Climate risks and forecastability of the weekly state-level economic conditions of the United States
Ҫepni, Oğuzhan, (2022)
-
Liao, Wenting, (2023)
-
Financial conditions, macroeconomic uncertainty, and macroeconomic tail risks
Huang, Yu-Fan, (2024)
- More ...