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Cyclical dynamics and co-movement of business, credit, and investment cycles: empirical evidence from India

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  • Ridhima Garg

    (Thapar Institute of Engineering & Technology (TIET))

  • A. N. Sah

    (Thapar Institute of Engineering & Technology (TIET))

Abstract

The paper aimed to investigate the cyclical dynamics of the business, credit, and investment sectors in India. This was achieved by utilizing annual data from 1980 to 2021 and investigating the impact of domestic and global financial cycles on the business cycle. The cycles were derived using the Hodrick–Prescott filter, and structural vector autoregression (SVAR) and Granger causality tests were employed to establish the dynamic interactions among these cycles. The results of the study revealed a clear divergence between domestic and global financial cycles. Additionally, the SVAR analysis confirmed the presence of a long-run relationship between business, investment, and credit cycles. Notably, the findings suggest that credit cycles can provide valuable insights to manage business cycles in India. Finally, robustness checks were conducted to confirm the reliability of SVAR findings.

Suggested Citation

  • Ridhima Garg & A. N. Sah, 2024. "Cyclical dynamics and co-movement of business, credit, and investment cycles: empirical evidence from India," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-03021-5
    DOI: 10.1057/s41599-024-03021-5
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