This study aims to understand the dynamics of credit and business cycle interactions at the aggregated and disaggregated (sectors and industries) levels in the Indian context. We explore both parametric and non-parametric time-series approach to date the major turning points and calculate the lead-lag measures. We also test for synchronizing credit and business cycles and finding that there is a procyclicality during the crisis period. However, the analysis at sectoral and industry levels exhibit asymmetry as some sectors exhibit countercyclically. The business cycle precedes the credit cycle at the aggregated and disaggregated levels. The repo rate, broad money, real exchange rate, and industrial output significantly explain India's business-credit dynamics.

Understanding the credit cycle and business cycle dynamics in India

Bekiros S.
2021-01-01

Abstract

This study aims to understand the dynamics of credit and business cycle interactions at the aggregated and disaggregated (sectors and industries) levels in the Indian context. We explore both parametric and non-parametric time-series approach to date the major turning points and calculate the lead-lag measures. We also test for synchronizing credit and business cycles and finding that there is a procyclicality during the crisis period. However, the analysis at sectoral and industry levels exhibit asymmetry as some sectors exhibit countercyclically. The business cycle precedes the credit cycle at the aggregated and disaggregated levels. The repo rate, broad money, real exchange rate, and industrial output significantly explain India's business-credit dynamics.
2021
76
988
1006
Band-pass filter; Business cycle; Credit cycle; Markov-switching model; Sectoral business cycle; Synchronization
Saini S.; Ahmad W.; Bekiros S.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1914812
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