2026· International Journal of Latest Technology in Engineering, Management & Applied Science· 0 citations
Abstract
This study aims to understand how major US tariff-policy announcements have influenced the prices of Indian equities. The study further explores conditional volatility and financial transmission channels from January 2018 to June 2026. This study employs a combined event-study framework. Generalized Autoregressive Conditional Heteroskedasticity (GARCH) volatility modelling along with a five-variable Structural Vector Autoregression (SVAR) was also used. The study was carried out for a 251 trading day estimation window and three event windows around six policy announcements. The reported results show a statistically significant negative response of the NIFTY 50, with a cumulative average abnormal return (CAAR) of −1.42% over the [−1,+1] window. Sectoral responses are heterogeneous: NIFTY Metal (−3.65%), and NIFTY IT (−2.84%) show larger negative responses, whereas NIFTY FMCG (−0.22%) is statistically insignificant. GARCH estimates indicate positive event-related variance shifts for NIFTY 50, IT and Metal, but not FMCG. Under the specified Cholesky identification, the 10-day forecast-error variance of NIFTY IT is associated with FPI-flow and USD/INR shocks accounting for 24.3% and 18.7%, respectively, while TPU shocks account for 29.1% of NIFTY Metal variance. The results showcase heterogeneous short-run responses across the selected sectors while the transmission estimates highlight conditionality on the specified identification structure. These findings indicate that U.S. tariff announcements are associated with heterogeneous short-run spillovers into Indian equities, with financial channels complementing direct trade exposure.
Stock market volatility is of continuing interest to investors, portfolio managers, corporates and policymakers because it directly influences risk assessment, asset pricing and capital allocation decisions. This paper examines the return-generating and volatility process of the Bombay Stock Exchange Sensitive Index (B...
C. Parmar, Sandip Raithathatha, Kashish Jayesh Ramani et al.· International Research Journ...· 0 citations
Market interconnection and dynamic linkages increase the persistence of volatility, as shocks in one market quickly affect others, reflecting their interdependence. In this context, the objective of this study is to examine the conditional volatility and conditional correlation of selected financial markets. This study...
Arup Bramha Mohapatra· Asia-Pacific Journal of Mana...· 0 citations
This study tries to assess whether aggregated domestic and global macro-financial conditions can assist to explicate daily equity-market returns and volatility in India and considers the implications for financial risk and project-related decision making. Daily BSE and NSE index returns are analysed for January 2000–Ma...
Purpose – This study examines the effects of domestic and global economic policy uncertainty on Indonesia's financial sector volatility, given its dominant market position and sensitivity to regulatory and capital flow shocks.
Design/methodology/approach – Monthly IDX Financial Index (JKFINA/IDXFINANCE) returns from Ja...
Mohammad Syifaul Qulub, R. Setiawati· Journal of Economics, Entrep...· 0 citations