IDEAS home Printed from https://ideas.repec.org/p/zbw/bofitp/bdp2019_023.html
   My bibliography  Save this paper

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

Author

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
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/212931/1/bofit-dp2019-023.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:zbw:bofitp:2019_023 is not listed on IDEAS
    2. 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).
    3. Breitung, Jörg & Schreiber, Sven, 2018. "Assessing causality and delay within a frequency band," Econometrics and Statistics, Elsevier, vol. 6(C), pages 57-73.
    4. Walheer, Barnabé & He, Ming, 2020. "Technical efficiency and technology gap of the manufacturing industry in China: Does firm ownership matter?," World Development, Elsevier, vol. 127(C).
    5. Matteo Farnè & Angela Montanari, 2022. "A Bootstrap Method to Test Granger-Causality in the Frequency Domain," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 935-966, March.
    6. Huang, Yiping & Li, Xiang & Qiu, Han & Yu, Changhua, 2023. "BigTech credit and monetary policy transmission: Micro-level evidence from China," BOFIT Discussion Papers 2/2023, Bank of Finland Institute for Emerging Economies (BOFIT).
    7. Emrah İ. Çevik & Erdal Atukeren & Turhan Korkmaz, 2019. "Trade Openness and Economic Growth in Turkey: A Rolling Frequency Domain Analysis," Economies, MDPI, vol. 7(2), pages 1-16, May.
    8. Barunik, Jozef & Krehlik, Tomas, 2016. "Measuring the frequency dynamics of financial and macroeconomic connectedness," FinMaP-Working Papers 54, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    9. Zhang, Dongyang, 2020. "Do credit squeezes influence firm survival? An empirical investigation of China," Economic Systems, Elsevier, vol. 44(3).
    10. Tiwari, Aviral Kumar, 2012. "An empirical investigation of causality between producers' price and consumers' price indices in Australia in frequency domain," Economic Modelling, Elsevier, vol. 29(5), pages 1571-1578.
    11. Gradojevic, Nikola & Lento, Camillo, 2015. "Multiscale analysis of foreign exchange order flows and technical trading profitability," Economic Modelling, Elsevier, vol. 47(C), pages 156-165.
    12. Chen, Minjia & Guariglia, Alessandra, 2013. "Internal financial constraints and firm productivity in China: Do liquidity and export behavior make a difference?," Journal of Comparative Economics, Elsevier, vol. 41(4), pages 1123-1140.
    13. Jozef Baruník & Tomáš Křehlík, 2018. "Measuring the Frequency Dynamics of Financial Connectedness and Systemic Risk," Journal of Financial Econometrics, Oxford University Press, vol. 16(2), pages 271-296.
    14. Saffet Akdag & Ömer İskenderoglu & Andrew Adewale Alola, 2020. "The volatility spillover effects among risk appetite indexes: insight from the VIX and the rise," Letters in Spatial and Resource Sciences, Springer, vol. 13(1), pages 49-65, April.
    15. Loren Brandt & Feitao Jiang & Yao Luo & Yingjun Su, 2022. "Ownership and Productivity in Vertically Integrated Firms: Evidence from the Chinese Steel Industry," The Review of Economics and Statistics, MIT Press, vol. 104(1), pages 101-115, March.
    16. Bekiros, Stelios & Marcellino, Massimiliano, 2013. "The multiscale causal dynamics of foreign exchange markets," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 282-305.
    17. Saffet Akdağ & İlker Kiliç & Hakan Yildirim, 2019. "Does VIX scare stocks of tourism companies?," Letters in Spatial and Resource Sciences, Springer, vol. 12(3), pages 215-232, December.
    18. repec:ipg:wpaper:2014-441 is not listed on IDEAS
    19. Assenmacher-Wesche, Katrin & Gerlach, Stefan & Sekine, Toshitaka, 2008. "Monetary factors and inflation in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 22(3), pages 343-363, September.
    20. Cevik, Emrah Ismail & Gunay, Samet & Zafar, Muhammad Wasif & Destek, Mehmet Akif & Bugan, Mehmet Fatih & Tuna, Fatih, 2022. "The impact of digital finance on the natural resource market: Evidence from DeFi, oil, and gold," Resources Policy, Elsevier, vol. 79(C).
    21. Wang, Jingwen & Shen, Guangjun & Tang, Dunzhe, 2021. "Does tax deduction relax financing constraints? Evidence from China's value-added tax reform," China Economic Review, Elsevier, vol. 67(C).
    22. Hasan, Iftekhar & Kwak, Boreum & Li, Xiang, 2023. "Financial technologies and the effectiveness of monetary policy transmission," IWH Discussion Papers 26/2020, Halle Institute for Economic Research (IWH), revised 2023.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:bofitp:bdp2019_023. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/bofitfi.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.