The Volatility Assessment of CO2 Emissions in Uzbekistan: ARCH/GARCH Models
Bekhzod Kuziboev, Petra Vysušilová, Raufhon Salahodjaev, Alibek Rajabov, Tukhtabek Rakhimov
Abstract
Open-access reader
Bekhzod Kuziboev, Petra Vysušilová, Raufhon Salahodjaev, Alibek Rajabov, Tukhtabek Rakhimov
Abstract
Open-access reader
The study is pioneer to investigate the volatility of CO2 emissions in Uzbekistan. To this end, ARCH (Autoregressive Conditional Heteroskedasticity) and GARCH (Generalized Autoregressive Conditional Heteroskedasticity) models are used spanning the period 1925-2021 for the annual data of CO2 emissions. The results indicate that ARCH model is more adequate that GARCH model in the volatility assessment. Furthermore, it is found that the volatility of CO2 emissions in Uzbekistan is very high. The policymakers have to consider the high volatility of CO2 emissions in the environmental policy measures dedicated to reduce carbon dioxide emissions.
OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
The study is pioneer to investigate the volatility of CO2 emissions in Uzbekistan. To this end, ARCH (Autoregressive Conditional Heteroskedasticity) and GARCH (Generalized Autoregressive Conditional Heteroskedasticity) models are used spanning the period 1925-2021 for the annual data of CO2 emissions. The results indicate that ARCH model is more adequate that GARCH model in the volatility assessment. Furthermore, it is found that the volatility of CO2 emissions in Uzbekistan is very high. The policymakers have to consider the high volatility of CO2 emissions in the environmental policy measures dedicated to reduce carbon dioxide emissions.
Key concepts: Autoregressive conditional heteroskedasticity, Volatility (finance), Arch, Autoregressive model, Heteroscedasticity, Econometrics, Economics, Forward volatility