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Financial cycle, business cycle, and policy uncertainty in India: An empirical investigation

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  • Rajendra N. Paramanik
  • Avishek Bhandari
  • Bandi Kamaiah

Abstract

This paper is an empirical attempt to assess the relations among business cycles, financial cycles, and economic uncertainty for India during the period January 2003 to January 2020. Empirical findings from the vector autoregression model suggest a bidirectional causal relationship between the real and financial markets. Further, the aforementioned markets are found to influence the uncertainty index in India. We employ the Granger causality test in the frequency domain which exhibits the dynamic nature of causal relations, while our novel fractal connectivity approach reveals the long‐run correlation structure among all three variables.

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  • Rajendra N. Paramanik & Avishek Bhandari & Bandi Kamaiah, 2022. "Financial cycle, business cycle, and policy uncertainty in India: An empirical investigation," Bulletin of Economic Research, Wiley Blackwell, vol. 74(3), pages 825-837, July.
  • Handle: RePEc:bla:buecrs:v:74:y:2022:i:3:p:825-837
    DOI: 10.1111/boer.12320
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    1. Duchi, Fabio & Elbourne, Adam, 2016. "Credit supply shocks in the Netherlands," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 51-71.
    2. Huang, Zhuo & Tong, Chen & Qiu, Han & Shen, Yan, 2018. "The spillover of macroeconomic uncertainty between the U.S. and China," Economics Letters, Elsevier, vol. 171(C), pages 123-127.
    3. Lawrence J. Christiano & Terry J. Fitzgerald, 2003. "The Band Pass Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 435-465, May.
    4. Hristov, Nikolay & Hülsewig, Oliver & Wollmershäuser, Timo, 2012. "Loan supply shocks during the financial crisis: Evidence for the Euro area," Journal of International Money and Finance, Elsevier, vol. 31(3), pages 569-592.
    5. Jose Eduardo Gomez-Gonzalez & Mauricio Villamizar-Villegas & Hector Manuel Zarate & Juan Sebastian Amador & Celina Gaitan-Maldonado, 2015. "Credit and business cycles: Causal effects in the frequency domain," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 33(78), pages 176-189, December.
    6. Jesus Fernandez-Villaverde & Pablo Guerron-Quintana & Juan F. Rubio-Ramirez & Martin Uribe, 2011. "Risk Matters: The Real Effects of Volatility Shocks," American Economic Review, American Economic Association, vol. 101(6), pages 2530-2561, October.
    7. Mathias Drehmann & Claudio Borio & Kostas Tsatsaronis, 2012. "Characterising the financial cycle: don't lose sight of the medium term!," BIS Working Papers 380, Bank for International Settlements.
    8. Kyle Jurado & Sydney C. Ludvigson & Serena Ng, 2015. "Measuring Uncertainty," American Economic Review, American Economic Association, vol. 105(3), pages 1177-1216, March.
    9. Veli Yilanci & Onder Ozgur & Muhammed Sehid Gorus, 2021. "Stock prices and economic activity nexus in OECD countries: new evidence from an asymmetric panel Granger causality test in the frequency domain," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-22, December.
    10. Martyna Marczak & Víctor Gómez, 2017. "Monthly US business cycle indicators: a new multivariate approach based on a band-pass filter," Empirical Economics, Springer, vol. 52(4), pages 1379-1408, June.
    11. Chang‐Jin Kim & James Morley & Jeremy Piger, 2005. "Nonlinearity and the permanent effects of recessions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 291-309.
    12. Karnizova, Lilia & Li, Jiaxiong (Chris), 2014. "Economic policy uncertainty, financial markets and probability of US recessions," Economics Letters, Elsevier, vol. 125(2), pages 261-265.
    13. Anzuini, Alessio & Rossi, Luca & Tommasino, Pietro, 2020. "Fiscal policy uncertainty and the business cycle: Time series evidence from Italy," Journal of Macroeconomics, Elsevier, vol. 65(C).
    14. Sophie Achard & Irène Gannaz, 2016. "Multivariate Wavelet Whittle Estimation in Long-range Dependence," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(4), pages 476-512, July.
    15. Adam Elbourne & Fabio Duchi, 2016. "Credit Supply Shocks in the Netherlands," CPB Discussion Paper 320, CPB Netherlands Bureau for Economic Policy Analysis.
    16. Lee, Bong-Soo, 1992. "Causal Relations among Stock Returns, Interest Rates, Real Activity, and Inflation," Journal of Finance, American Finance Association, vol. 47(4), pages 1591-1603, September.
    17. Born, Benjamin & Pfeifer, Johannes, 2014. "Policy risk and the business cycle," Journal of Monetary Economics, Elsevier, vol. 68(C), pages 68-85.
    18. Arthur F. Burns & Wesley C. Mitchell, 1946. "Measuring Business Cycles," NBER Books, National Bureau of Economic Research, Inc, number burn46-1.
    19. Tiwari, Aviral Kumar & Jana, R.K. & Roubaud, David, 2019. "The policy uncertainty and market volatility puzzle: Evidence from wavelet analysis," Finance Research Letters, Elsevier, vol. 31(C).
    20. Duchi, Fabio & Elbourne, Adam, 2016. "Credit supply shocks in the Netherlands," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 51-71.
    21. Neftci, Salih N, 1984. "Are Economic Time Series Asymmetric over the Business Cycle?," Journal of Political Economy, University of Chicago Press, vol. 92(2), pages 307-328, April.
    22. John A. Weinberg, 1995. "Cycles in lending standards?," Economic Quarterly, Federal Reserve Bank of Richmond, issue Sum, pages 1-18.
    23. Sarantis, Nicholas, 2001. "Nonlinearities, cyclical behaviour and predictability in stock markets: international evidence," International Journal of Forecasting, Elsevier, vol. 17(3), pages 459-482.
    24. William English & Kostas Tsatsaronis & Edda Zoli, 2005. "Assessing the predictive power of measures of financial conditions for macroeconomic variables," BIS Papers chapters, in: Bank for International Settlements (ed.), Investigating the relationship between the financial and real economy, volume 22, pages 228-52, Bank for International Settlements.
    25. Meeks, Roland, 2012. "Do credit market shocks drive output fluctuations? Evidence from corporate spreads and defaults," Journal of Economic Dynamics and Control, Elsevier, vol. 36(4), pages 568-584.
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    Cited by:

    1. Simran, & Sharma, Anil Kumar, 2024. "Asymmetric nexus between economic policy uncertainty and the Indian stock market: Evidence using NARDL approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 91-101.

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