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Monetary policy shocks and peer-to-peer lending in China

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Listed:
  • Funke, Michael
  • Li, Xiang
  • Tsang, Andrew

Abstract

This paper studies monetary policy transmission in China's peer-to-peer lending market. Using spectral measures of causality, we explore the impacts of Chinese monetary policy shocks on China's P2P market interest rates and lending amounts. The estimation results indicate significant spectral Granger causality from monetary policy surprises to P2P lending rates for borrowers, but not the reverse. Unlike the lending channel for traditional banks, monetary policy shocks do not Granger-cause the credit amount in the P2P lending market.

Suggested Citation

  • Funke, Michael & Li, Xiang & Tsang, Andrew, 2019. "Monetary policy shocks and peer-to-peer lending in China," BOFIT Discussion Papers 23/2019, Bank of Finland Institute for Emerging Economies (BOFIT).
    • Handle: RePEc:zbw:bofitp:bdp2019_023
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    1. Guariglia, Alessandra & Liu, Xiaoxuan & Song, Lina, 2011. "Internal finance and growth: Microeconometric evidence on Chinese firms," Journal of Development Economics, Elsevier, vol. 96(1), pages 79-94, September.
    2. Huang, Yiping & Li, Xiang & Wang, Chu, 2021. "What does peer-to-peer lending evidence say about the Risk-Taking Channel of monetary policy?," Journal of Corporate Finance, Elsevier, vol. 66(C).
    3. Theologos Dergiades & Costas Milas & Theodore Panagiotidis, 2015. "Tweets, Google trends, and sovereign spreads in the GIIPS," Oxford Economic Papers, Oxford University Press, vol. 67(2), pages 406-432.
    4. Poncet, Sandra & Steingress, Walter & Vandenbussche, Hylke, 2010. "Financial constraints in China: Firm-level evidence," China Economic Review, Elsevier, vol. 21(3), pages 411-422, September.
    5. Ding, Jie & Huang, Jinbo & Li, Yong & Meng, Meichen, 2019. "Is there an effective reputation mechanism in peer-to-peer lending? Evidence from China," Finance Research Letters, Elsevier, vol. 30(C), pages 208-215.
    6. Daniel Berkowitz & Hong Ma & Shuichiro Nishioka, 2017. "Recasting the Iron Rice Bowl: The Reform of China's State-Owned Enterprises," The Review of Economics and Statistics, MIT Press, vol. 99(4), pages 735-747, July.
    7. Thomas Philippon, 2016. "The FinTech Opportunity," NBER Working Papers 22476, National Bureau of Economic Research, Inc.
    8. Jagtiani, Julapa & Lemieux, Catharine, 2018. "Do fintech lenders penetrate areas that are underserved by traditional banks?," Journal of Economics and Business, Elsevier, vol. 100(C), pages 43-54.
    9. Stijn Claessens & Jon Frost & Grant Turner & Feng Zhu, 2018. "Fintech credit markets around the world: size, drivers and policy issues," BIS Quarterly Review, Bank for International Settlements, September.
    10. Fungáčová, Zuzana & Nuutilainen, Riikka & Weill, Laurent, 2016. "Reserve requirements and the bank lending channel in China," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 37-50.
    11. Naoko Nemoto & Bihong Huang & David Storey, 2019. "Optimal Regulation of P2P Lending for Small and Medium-Sized Enterprises," Working Papers id:12964, eSocialSciences.
    12. repec:zbw:bofitp:2019_008 is not listed on IDEAS
    13. Guillaume Plantin, 2015. "Shadow Banking and Bank Capital Regulation," The Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 146-175.
    14. Güneş Kamber & Madhusudan Mohanty, 2018. "Do interest rates play a major role in monetary policy transmission in China?," BIS Working Papers 714, Bank for International Settlements.
    15. Brandt, Loren & Van Biesebroeck, Johannes & Zhang, Yifan, 2012. "Creative accounting or creative destruction? Firm-level productivity growth in Chinese manufacturing," Journal of Development Economics, Elsevier, vol. 97(2), pages 339-351.
    16. Chen, Hongyi & Chow, Kenneth & Tillmann, Peter, 2017. "The effectiveness of monetary policy in China: Evidence from a Qual VAR," China Economic Review, Elsevier, vol. 43(C), pages 216-231.
    17. Yuzo Hosoya, 2001. "Elimination of Third‐series Effect and Defining Partial Measures of Causality," Journal of Time Series Analysis, Wiley Blackwell, vol. 22(5), pages 537-554, September.
    18. Samuel G. Hanson & Anil K. Kashyap & Jeremy C. Stein, 2011. "A Macroprudential Approach to Financial Regulation," Journal of Economic Perspectives, American Economic Association, vol. 25(1), pages 3-28, Winter.
    19. Katrin Assenmacher-Wesche & Stefan Gerlach, 2007. "Money at Low Frequencies," Journal of the European Economic Association, MIT Press, vol. 5(2-3), pages 534-542, 04-05.
    20. Yao, Feng & Hosoya, Yuzo, 2000. "Inference on one-way effect and evidence in Japanese macroeconomic data," Journal of Econometrics, Elsevier, vol. 98(2), pages 225-255, October.
    21. Xuchen Lin & Xiaolong Li & Zhong Zheng, 2017. "Evaluating borrower’s default risk in peer-to-peer lending: evidence from a lending platform in China," Applied Economics, Taylor & Francis Journals, vol. 49(35), pages 3538-3545, July.
    22. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    23. Liu, Qigui & Pan, Xiaofei & Tian, Gary Gang, 2018. "To what extent did the economic stimulus package influence bank lending and corporate investment decisions? Evidence from China," Journal of Banking & Finance, Elsevier, vol. 86(C), pages 177-193.
    24. repec:zbw:bofitp:2019_016 is not listed on IDEAS
    25. Hiroshi Yamada & Wei Yanfeng, 2014. "Some Theoretical and Simulation Results on the Frequency Domain Causality Test," Econometric Reviews, Taylor & Francis Journals, vol. 33(8), pages 936-947, November.
    26. Nemoto, Naoko & Huang, Bihong & Storey, David, 2019. "Optimal Regulation of P2P Lending for Small and Medium-Sized Enterprises," ADBI Working Papers 912, Asian Development Bank Institute.
    27. Breitung, Jorg & Candelon, Bertrand, 2006. "Testing for short- and long-run causality: A frequency-domain approach," Journal of Econometrics, Elsevier, vol. 132(2), pages 363-378, June.
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    Cited by:

    1. Marques, André M. & Carvalho, André R., 2022. "Testing the neo-fisherian hypothesis in Brazil," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 407-419.

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    More about this item

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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