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Examining the Time Varying Spillover Dynamics of Indian Financial Indictors from Global and Local Economic Uncertainty

Author

Listed:
  • Pawan Kumar

    (National Institute of Industrial Engineering (NITIE))

  • Vipul Kumar Singh

    (National Institute of Industrial Engineering (NITIE))

Abstract

The research aims to excavate the role of global (Fed Rate, Crude, Real Dollar Index) and endogenous economic variables (GDP and Consumer Price Index) in shaping the spillover amongst the major Indian Financial indicators, viz. Nifty Index, MCX Gold, USDINR, Govt. Bond 10Y maturity and agricultural index N-Krishi. To facilitate cross-comparison decomposition of time-varying spillover output generated from Time-Varying Vector Autoregression (TVP-VAR) with aggregation at three layers is performed. The research finds that Indian Financial Indicators are vulnerable to spillover shocks from global variables predominantly driven by Fed Rate and Real Dollar Index. USDINR turns out to be most sensitive to global shocks and transgresses the shock to other financial indicators. Importantly, persistently high inflation has brought volatility spikes in the directional spillover to financial indicators. Though spillover subsidence is observed post-2014, with an all-time high during GFC, a sudden spurt in all financial indicators has been observed post-Covid-19, with Govt. bonds showing a sporadic rise. An important observation relates to staunch spillover from GDP during GFC with reoccurrence post-Covid. Additionally, a closely knit spillover tie is observed among USDINR, N-Krishi, and Crude. The study is beneficial to RBI to proactively monitor the weakening rupee along with Fed tapering to manage the rising spillover post-Covid-19. The effort of RBI has to be reciprocated by the government in inflation targeting to reinforce the curbing efforts of rising shock spillover.

Suggested Citation

  • Pawan Kumar & Vipul Kumar Singh, 2023. "Examining the Time Varying Spillover Dynamics of Indian Financial Indictors from Global and Local Economic Uncertainty," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(1), pages 99-121, March.
    • Handle: RePEc:spr:jqecon:v:21:y:2023:i:1:d:10.1007_s40953-022-00333-8
    DOI: 10.1007/s40953-022-00333-8
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    More about this item

    Keywords

    Connectedness; Fed rate; Indian financial indices; Inflation; Spillover; Systemic risk; TVP-VAR;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • F62 - International Economics - - Economic Impacts of Globalization - - - Macroeconomic Impacts
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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