The influence of recent global shocks such as the COVID-19 pandemic and the Russian–Ukrainian war on the variability of major macroeconomic trends not only shows synchronized behavior across economies but also induces similar policy responses to counter these shocks. The purpose of this article is to explore the transmission of inflation among the G20 economies and evaluate its contribution to domestic inflation. To this end, we use the Diebold and Yilmaz spillover approach. The results that emerge from unconditional analysis reveal stark dissimilarities in inflation spillover patterns between advanced and emerging economies. Advanced economies are subject to higher spillover rates and thereby more exposed to global shocks compared to their emerging counterparts. Inflation in emerging countries is mainly derived from idiosyncratic shocks, while global shocks have only a modest influence on domestic inflation. In addition, bilateral spillovers among the G20 members show that the average pairwise directional spillovers between emerging economies are lower compared to advanced economies. The results pertaining to the spillover dynamics, on the other hand, show that total inflation spillover has a clear upward trend, indicating that the overall interconnectedness between G20 countries is increasing over time. Moreover, the estimates of spillover dynamics show a growing influence of received inflation spillovers from external shocks in both advanced and emerging economies. Policymakers in advanced economies are expected to respond to global shocks to mitigate the influence of spillovers, which is essential for economies that display high spillovers and turn out to be net receivers of shocks. However, public agencies in emerging economies should concentrate more on internal shocks to control inflation while not ignoring global shocks.

This study investigates return and asymmetric volatility spillovers and dynamic correlations between the main and small and medium-sized enterprise (SME) stock markets in Saudi Arabia and Egypt for the periods before and during the COVID-19 pandemic. Return and volatility spillovers are modelled using a VAR-asymmetric BEKK–GARCH (1,1) model, while a VAR-asymmetric DCC–GARCH (1,1) model is employed to model the dynamic conditional correlations between these markets, which are then used to determine and explore portfolio design and hedging implications. The results show that while bidirectional return spillovers between the main and SME stock markets are limited to Saudi Arabia, shock and volatility spillovers have different characteristics and dynamics in both main–SME market pairs. In addition, the dynamic correlations between the main and SME markets are mostly positive and have notably increased during the COVID-19 pandemic, particularly in Saudi Arabia, suggesting that adding SME stocks to a main stock portfolio enhances its risk-adjusted return, especially during tranquil market phases. One practical implication of our results is that the development of SME stock markets can indirectly contribute to economic development via the main market channel and provide an avenue for portfolio diversification and risk management.