Oil Shocks and State-Level Stock Market Volatility of the United States: A GARCH-MIDAS Approach

Afees Salisu, Rangan Gupta, Oguzhan Cepni and Petre Caraiani

No 202327, Working Papers from University of Pretoria, Department of Economics

Abstract: In this paper, we employ the generalized autoregressive conditional heteroscedasticity-mixed data sampling (GARCH-MIDAS) framework to forecast the daily volatility of state-level stock returns in the United States (US) based on structurally decomposed four monthly oil shocks associated with oil supply, global economic activity, oil consumption and oil inventory. We find that over the daily period of (February) 1994 to (December) 2022 and various forecast horizons, in 46 out of the 50 states, the GARCH-MIDAS model with at least one oil shock can outperform the benchmark, i.e., the GARCH-MIDAS-Realized Volatility (RV), with 24 states depicting the importance of all the four shocks. In general, oil market-specific shocks, whether supply or demand, tend to matter more than a global economic impact driving the oil market in forecasting volatility of regional stock returns across with the better forecasting performances related to states with higher CO2 emissions based on underlying energy consumption data. Our findings have important implications for investors and policymakers.

Keywords: Structural Oil Shocks; Daily State-Level Stock Returns Volatility; GARCH-MIDAS; Forecasting (search for similar items in EconPapers)
JEL-codes: C32 C53 G10 Q02 (search for similar items in EconPapers)
Pages: 19 pages
Date: 2023-09
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Journal Article: Oil shocks and state-level stock market volatility of the United States: a GARCH-MIDAS approach (2024)
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Persistent link: https://EconPapers.repec.org/RePEc:pre:wpaper:202327

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