TY - JOUR
T1 - Modeling the Impact of G7 Interest Rates on BRICS Equity Markets
T2 - A DLNM Approach Using MSCI Indices
AU - Joaqui-Barandica, Orlando
AU - Heredia-Carroza, Jesús
AU - López-Estrada, Sebastian
AU - Agheorghiesei, Daniela Tatiana
N1 - Publisher Copyright:
© 2025 by the authors.
PY - 2025/9
Y1 - 2025/9
N2 - This study examines the dynamic and nonlinear effects of global interest rate (based on the G7 market) shocks on equity markets in BRICS countries. A World Interest Rate (WIR) index is constructed using principal component analysis of short-term interest rates from developed economies. The analysis applies Distributed Lag Nonlinear Models (DLNMs) to evaluate the temporal response of each market to positive and negative WIR shocks over a six-period horizon. The results reveal notable asymmetries and heterogeneity. Brazil and Russia experience stronger reactions to negative shocks, while India and China show milder or delayed effects. South Africa stands out for its persistent and symmetric sensitivity to both types of shocks, suggesting deeper exposure to global financial cycles. The DLNM framework allows for a nuanced interpretation of exposure-lag relationships, offering new insights into how global monetary conditions affect emerging markets. These findings highlight that financial integration does not imply uniform vulnerability across countries and that global liquidity shocks can trigger diverse equity market responses. This paper contributes to the literature on international financial linkages and provides relevant implications for investors and policymakers managing portfolio exposure or economic risk in emerging markets.
AB - This study examines the dynamic and nonlinear effects of global interest rate (based on the G7 market) shocks on equity markets in BRICS countries. A World Interest Rate (WIR) index is constructed using principal component analysis of short-term interest rates from developed economies. The analysis applies Distributed Lag Nonlinear Models (DLNMs) to evaluate the temporal response of each market to positive and negative WIR shocks over a six-period horizon. The results reveal notable asymmetries and heterogeneity. Brazil and Russia experience stronger reactions to negative shocks, while India and China show milder or delayed effects. South Africa stands out for its persistent and symmetric sensitivity to both types of shocks, suggesting deeper exposure to global financial cycles. The DLNM framework allows for a nuanced interpretation of exposure-lag relationships, offering new insights into how global monetary conditions affect emerging markets. These findings highlight that financial integration does not imply uniform vulnerability across countries and that global liquidity shocks can trigger diverse equity market responses. This paper contributes to the literature on international financial linkages and provides relevant implications for investors and policymakers managing portfolio exposure or economic risk in emerging markets.
KW - Asymmetric effects
KW - Distributed Lag Nonlinear Models
KW - Emerging markets
KW - Financial spillovers
KW - Global interest rates
UR - https://www.scopus.com/pages/publications/105017418184
U2 - 10.3390/economies13090252
DO - 10.3390/economies13090252
M3 - Article
AN - SCOPUS:105017418184
SN - 2227-7099
VL - 13
JO - Economies
JF - Economies
IS - 9
M1 - 252
ER -