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Will peer-to-peer online lending affect the effectiveness of monetary policy?

    Chi Wei Su Affiliation
    ; Xiaofeng Liu Affiliation
    ; Sorana Vătavu Affiliation
    ; Adelina Dumitrescu Peculea Affiliation

Abstract

Online lending is a product of digital transformation, which has had a profound impact on the traditional money market. This paper discusses the impact of peer-to-peer (P2P) online lending on the effectiveness of monetary policy. Through the bootstrap sub-sample rolling-window Granger causality tests show that P2P has both positive and negative impacts on the money supply (M2). The positive impact of P2P on M2 indicates that online loans increase the amount of money supply. The negative impact of P2P on M2 shows that it may cut the money supply, thus weakening the monetary policy effectiveness. The general equilibrium model is inconsistent with these results, which underlines a positive effect from P2P to M2. In turn, the negative impact points out that the adjustment of monetary policy will hinder the development of P2P. The negative impact of M2 on P2P indicates that through the regulation of money supply, the online lending market can be correctly guided to prevent financial market from getting out of control. Through the supervision of online lending industry, we can accurately grasp the development of the internet financial industry and reduce its impact on monetary policy.


First published online 3 September 2024

Keyword : online peer-to-peer lending, money supply, causal relationship, Internet finance, time-varying

How to Cite
Su, C. W., Liu, X., Vătavu, S., & Dumitrescu Peculea, A. (2024). Will peer-to-peer online lending affect the effectiveness of monetary policy?. Technological and Economic Development of Economy, 1-22. https://doi.org/10.3846/tede.2024.19334
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Sep 3, 2024
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Al-Laham, M., Al-Tarwneh, H., & Najwan, A. (2009). Development of electronic money and its impact on the central bank role and monetary policy. Issues in Informing Science and Information Technology, 6, 339–349. https://doi.org/10.28945/1063

Allen, F., McAndrews, J., & Strahan, P. (2002). E-finance: An introduction. Journal of Financial Services Research, 22(1–2), 5–27. https://doi.org/10.1023/A:1016007126394

Andrews, D. W. K. (1993). Tests for parameter instability and structural change with unknown change point. Econometrica, 61(4), 821–856. https://doi.org/10.2307/2951764

Andrews, D. W. K., & Ploberger, W. (1994). Optimal tests when a nuisance parameter is present only under the alternative. Econometrica, 62(6), 1383–1414. https://doi.org/10.2307/2951753

Athanasoglou, P. P., Brissimis, S. N., & Delis, M. D. (2008). Bank-specific, industry-specific and macroeconomic determinants of bank profitability. Journal of International Financial Markets, Institutions and Money, 18(2), 121–136. https://doi.org/10.1016/j.intfin.2006.07.001

Bachmann, A., Becker, A., Buerckner, D., & Hilker, M. (2011). Online peer-to-peer lending – A literature review. Journal of Internet Banking and Commerce, 16(2), 1–17.

Balcilar, M., Ozdemir, Z. A., & Arslanturk, Y. (2010). Economic growth and energy consumption causal nexus viewed through a bootstrap rolling window. Energy Economics, 32(6), 1398–1410. https://doi.org/10.1016/j.eneco.2010.05.015

Balyuk, T. (2016). FinTech lending and bank credit access for consumer (Rotman School of Management Working Paper No. 2802220).

Basha, S. A., Elgammal, M. M., & Abuzayed, B. M. (2021). Online peer-to-peer lending: A review of the literature. Electronic Commerce Research and Applications, 48, Article 101069. https://doi.org/10.1016/j.elerap.2021.101069

Bordo, M. D., & Levin, A. T. (2017). Central Bank digital currency and the future of monetary policy (NBER Working Paper No. 23711). https://doi.org/10.3386/w23711

Braggion, F., Manconi, A., & Zhu, H. (2019). Can technology undermine macroprudential regulation? Evidence from peer-to-peer credit in China (Working Paper). Centre for Economic Policy Research.

Camera, G. (2017). A perspective on electronic alternatives to traditional currencies. Sveriges Riksbank Economic Review, 2017(1), 126–148.

Ćehajić, A., & Košak, M. (2022). Bank lending and small and medium-sized enterprises’ access to finance – Effects of macroprudential policies. Journal of International Money and Finance, 124, Article 102612. https://doi.org/10.1016/j.jimonfin.2022.102612

Chen, H., & Ma, Y. J. (2016). Research on interest rate pricing model of P2P online lending industry. Contemporary Finance and Economics, 5, 45–56.

Chinhui, J. H. (2017). A study of inclusive financial system in China. Research Journal of Finance and Accounting, 8(24), 27–35.

Claessens, S., Frost, J., Turner, G., & Zhu, F. (2018). Fintech credit markets around the world: Size, drivers and policy issues. BIS Quarterly Review, 29–49.

Cozzi, G., Darracq, P. M., Karadi, P., Körner, J., Kok, C., Mazelis, F., Nikolov, K., Rancoita, E., Van der Ghote, A., & Weber, J. (2020). Macroprudential policy measures: Macroeconomic impact and interaction with monetary policy (ECB Working Paper No. 20202376). SSRN. https://doi.org/10.2139/ssrn.3541732

Dabrowski, M. (2017). Potential impact of financial innovation on financial services and monetary policy (CASE Research Paper No. 488). SSRN. https://doi.org/10.2139/ssrn.3009307

Dai, X. H. (2021). Research on the Relationship between Monetary Policy and Social Financing Scale. China Business Theory, 5, 82–84.

De Roure, C., Pelizzon, L., & Tasca, P. (2016). How does P2P lending fit into the consumer credit market? (Bundesbank Discussion Paper No. 30/2016). SSRN. https://doi.org/10.2139/ssrn.2848043

DeYoung, R., & Rice, T. (2006). Erratum: Noninterest income and financial performance at U.S. commercial banks. Financial Review, 41(3), 449–450. https://doi.org/10.1111/j.1540-6288.2006.00152.x

Ekpu, V. U. (2016). Demand-side factors affecting bank lending to SMEs. In Determinants of bank involvement with SMEs (pp. 29–43). Springer, Cham. https://doi.org/10.1007/978-3-319-25837-9_4

Emekter, R., Tu, Y., Jirasakuldech, B., & Lu, M. (2015). Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending. Applied Economics, 47(1), 54–70. https://doi.org/10.1080/00036846.2014.962222

Faia, E., & Paiella, M. (2019). Information and substitution in P2P markets (Discussion Paper). Centre for Economic Policy Research.

Farag, H., Koirala, S., & McGowan, D. (2019). Peer pressure: How do peer-to-peer lenders affect Banks’ Cost of deposits and liability structure? SSRN. https://doi.org/10.2139/ssrn.3398843

Fernandez-Villarverde, J., & Sanches, D. (2016). Can currency competition work? (Working Paper No. 16-12). National Bureau of Economic Research. https://doi.org/10.21799/frbp.wp.2016.12

Freedman, S., & Jin, G. Z. (2008). Dynamic learning and selection: The early years (Working Paper). University of Maryland.

Funke, M., Mihaylovski, P., & Zhu, H. (2015). Monetary policy transmission in China: A DSGE model with parallel shadow banking and interest rate control (Working Paper). SSRN. https://doi.org/10.2139/ssrn.2580241

Goldstein, I., Jiang, W. & Karolyi, G. (2019). To FinTech and beyond. The Review of Financial Studies, 32(5), 1648–1661. https://doi.org/10.1093/rfs/hhz025

Greenwood, R., Hanson, S. G., & Stein, J. C. (2015). A comparative-advantage approach to government debt maturity. The Journal of Finance, 70(4), 1683–1722. https://doi.org/10.1111/jofi.12253

Guo, P., & Shen, Y. (2016). The impact of Internet finance on commercial banks’ risk taking: Evidence from China. China Finance and Economic Review, 4(1), 1–19. https://doi.org/10.1186/s40589-015-0025-4

Guo, Y. P. (2020). Credit risk assessment of P2P lending platform towards big data based on BP neural network. Journal of Visual Communication and Image Representation, 71(5), Article 102730. https://doi.org/10.1016/j.jvcir.2019.102730

Hansen, B. E. (2002). Tests for parameter instability in regressions with I(1) processes. Journal of Business and Economic Statistics, 20(1), 45–59. https://doi.org/10.1198/073500102753410381

Havrylchyk, O., Mariotto, C., Rahim, T., & Verdier, M. (2021). The expansion of peer-to-peer lending. Review of Network Economics, 19(3), 145–187. https://doi.org/10.1515/rne-2020-0033

Heller, D. (2017). Do digital currencies pose a threat to sovereign currencies and central banks? (Policy Brief 17-13). Peterson Institute for International Economics (PIIE).

Hou, J. L. (2019). Influence of Internet finance on traditional financial industry and countermeasures. China Market, 35, 44–45.

Hu, G. H., & Jiang, L. Y. (2022). The effect of expectation management of monetary policy on restraining the idling of funds among commercial banks: Epected construction analysis based on Degroot model. Financial Theory & Practice, 1, 9–19.

Hu, J. Y., & Shui, B. B. (2019). The mechanism of action and effect of implementation of monetary policy to the borrowing rate of Internet financial: Taking P2P for instance. Shandong Social Sciences, 6, 68–75.

Jagtiani, J., & Lemieux, C. (2018). Do fintech lenders penetrate areas that are underserved by traditional banks (Working Papers WP 18-13). Federal Reserve Bank of Philadelphia. https://doi.org/10.21799/frbp.wp.2018.13

Jiang, S., & Zhou, H. (2019). Should China’s monetary policy intervene in Internet financial development – based on non-parametric Grainger causality test and rolling correlation coefficient. The Journal of Quantitative Economics, 10(4), 40–61.

Jiménez, G., Ongena, S., Peydró, J.-L., & Saurina, J. (2012). Credit supply and monetary policy: Identifying the bank balance-sheet channel with loan applications. American Economic Review, 102(5), 2301–2326. https://doi.org/10.1257/aer.102.5.2301

Klein, G., Shtudiner, Z., & Zwilling, M. (2023). Why do peer-to-peer (P2P) lending platforms fail? The gap between P2P lenders’ preferences and the platforms’ intentions. Electronic Commerce Research, 23, 709–738. https://doi.org/10.1007/s10660-021-09489-6

Krylova, E. (2002). The credit channel of monetary policy: Case of Austria (Working paper). IHS economics series. Institute for Advanced Studies.

Lastusti, A. & Tri, H. (2018). Financial technology: Legal challenges for Indonesia financial sector financial technology: Legal challenges for Indonesia financial sector. IOP Conference Series: Earth and Environmental Science, 175, 1–6. https://doi.org/10.1088/1755-1315/175/1/012204

Lee, G. H. (2007). Rule-based and case-based reasoning approach for internal audit of bank. Knowledge-Based Systems, 21(2), 140–147. https://doi.org/10.1016/j.knosys.2007.04.001

Lee, S., & Persson, P. (2016). Financing from family and friends. Review of Financial Studies, 29(9), 2341–2386. https://doi.org/10.1093/rfs/hhw031

Li, C. S. (2020). Monetary policies versus regulatory policies: Management of peer-to-peer market interest rates. China & World Economy, 28(1), 41–63. https://doi.org/10.1111/cwe.12311

Li, W., & Wang, Y. X. (2016). An empirical study on the impact of Internet finance on monetary policy – from the perspective of P2P lending. Journal of Commercial Economics, 7, 157–159.

Li, Y. Q., Spigt, R., & Swinkels, L. (2017). The impact of FinTech start-ups on incumbent retail banks’ share prices. Financial Innovation, 3(1), Article 26. https://doi.org/10.1186/s40854-017-0076-7

Liang, W., Liu, Z., & Lv, M. (2017). FinTech credit: Market structure, business model and financial stability implications. Financial Development Review, 11, 123–135.

Light, J. (2012). Is Peer-to-peer lending worth the risk? The Wall Street Journal.

Liu, G. B., Dong, C. Y., Sun, Y., Yu, W., & Zhao, N. (2016). Research on the impact of Internet financial development on China’s monetary policy. North China Finance, 1, 38–45.

Liu, Z., Shang, J., Wu, S., & Chen, P. (2020). Social collateral, soft information and online peer-to-peer lending: A theoretical model. European Journal of Operational Research, 281(2), 428–438. https://doi.org/10.1016/j.ejor.2019.08.038

Malloy, C. J., Cohen, L. H., & Woo, A. K. (2017). Dianrong: Marketplace lending, blockchain, and “The New Finance” in China (Harvard Business School Case 218-043).

Mawardi, A., Reiga, A., Susilowati, L., Pandji, S., & Supriyono, S. (2019). The potential of financial technology towards to stimulate startup in Indonesia: Peer-to-peer lending scheme (Working Paper). EBGC.

Muhammad, Z. M., Zachary, S., & Zafar, M. (2020). Do Fintech activities affect monetary policy? In J. Beirne & D. G. Fernandez (Eds.), Macroeconomic stabilization in the digital age (pp. 328–357). Asian Development Bank Institute.

Norden, L., Silva Buston, C., & Wagner, W. (2014). Financial innovation and bank behavior: Evidence from credit markets. Journal of Economic Dynamics and Control, 43(C), 130–145. https://doi.org/10.1016/j.jedc.2014.01.015

Nyblom, J. (1989). Testing for the constancy of parameters over time. Journal of the American Statistical Association, 84(405), 223–230. https://doi.org/10.1080/01621459.1989.10478759

Papanikolaou, N. I. (2018). FinTech credit and traditional bank credit: Allies or opponents? SSRN.

Pesaran, M., & Timmermann, A. (2005). Small sample properties of forecasts from autoregressive models under structural breaks. Journal of Econometrics, 129(1–2), 183–217. https://doi.org/10.1016/j.jeconom.2004.09.007

Robb, A. M., & Robinson, D. T. (2014). The capital structure decisions of new firms. Review of Financial Studies, 27(1), 153–179. https://doi.org/10.1093/rfs/hhs072

Schmidt, R., & Westbrook, J. (2011). An online lender takes on the SEC. Bloomberg Business Week.

Shen, W. (2015). Internet lending in China: Status quo, potential risks and regulatory options. Computer Law & Security Review, 31(6), 793–809. https://doi.org/10.1016/j.clsr.2015.08.005

Shen, Y., Shen, M. G., Xu, Z., & Bai, Y. (2009). Bank size and small- and medium-sized enterprise (SME) lending: Evidence from China. World Development, 37(4), 800–811. https://doi.org/10.1016/j.worlddev.2008.07.014

Shtudiner, Z., Zwilling, M., & Kantor, J. (2017). Field of study choice: Using conjoint analysis and clustering. International Journal of Educational Management, 31(2), 179–188. https://doi.org/10.1108/IJEM-02-2016-0031

Shu, Y. N. (2021). The research on the relationship between credit scale and inflation in China is based on the perspective of monetary quantity theory. Manager’s Journal, 3, 88–89.

Shukur, G., & Mantalos, P. (1997). Size and power of the RESET test as applied to systems of equations: A bootstrap approach (Working Paper). Department of Statistics, University of Lund.

Shukur, G., & Mantalos, P. (2000). A simple investigation of the Granger-causality test in integrated-cointegrated VAR systems. Journal of Applied Statistics, 27(8), 1021–1031. https://doi.org/10.1080/02664760050173346

Sitorus, I., Budi, P., & Wita, E. (2020). Determinants of millennials’ behaviors toward peer-to-peer lending investment (Working Paper). ICoSMI.

Su, C. W., Meng, X. L., Tao, R., & Umar, M. (2021a). Policy turmoil in China: A barrier for FDI flows? International Journal of Emerging Markets. https://doi.org/10.1108/IJOEM-03-2021-0314

Su, C. W., Pang, L. D., Tao, R., Shao, X. F., & Umar, M. (2022a). Renewable energy and technological innovation: Which one is the winner in promoting net-zero emissions? Technological Forecasting & Social Change, 182, Article 121798. https://doi.org/10.1016/j.techfore.2022.121798

Su, C. W., Pang, L. D., Umar, M., & Lobonţ, O. R. (2022b). Will gold always shine amid world uncertainty? Emerging Markets Finance and Trade, 58(12), 3425–3438. https://doi.org/10.1080/1540496X.2022.2050462

Su, C. W., Pang, L. D., Umar, M., Lobonţ, O. R., & Moldovan, N. C. (2022c). Does gold’s hedging uncertainty aura fade away? Resources Policy, 77, Article 102726. https://doi.org/10.1016/j.resourpol.2022.102726

Su, C. W., Yuan, X., Tao, R., & Shao, X. F. (2022d) Time and frequency domain connectedness analysis of the energy transformation under climate policy. Technological Forecasting & Social Change, 184, Article 121978. https://doi.org/10.1016/j.techfore.2022.121978

Su, C. W., Yuan, X., Tao, R., & Umar, M. (2021b). Can Bitcoin be a safe haven in fear sentiment? Technological and Economic Development of Economy, 28(2), 268–289. https://doi.org/10.3846/tede.2022.15502

Sunderam, A. (2014). Money creation and the shadow banking system. Review of Financial Studies, 28(4), 939–977. https://doi.org/10.1093/rfs/hhu083

Tang, H. (2019). Peer-to-peer lenders versus banks: Substitutes or complements? Review of Financial Studies, 32(5), 1900–1938. https://doi.org/10.1093/rfs/hhy137

Tang, J. Y. (2015). The impact of P2P model on traditional financial industry and its impact on monetary policy transmission. Financial Technology Era, 11, 99–103.

Thakor, A. V. (2020). Fintech and banking: What do we know? Journal of Financial Intermediation, 41, 1–13. https://doi.org/10.1016/j.jfi.2019.100833

Tian, W. J. (2019). Risk control analysis of P2P funds depository business in commercial banks. Modern Business Trade Industry, 40(12), 116–117.

Tobias, A., & Hyun, S. S. (2009). Money, liquidity, and monetary policy. The American Economic Review, 99(2), 600–605. https://doi.org/10.1257/aer.99.2.600

Tule, M. K., & Oduh, M. O. (2017). Financial innovations and the future of monetary policy in Nigeria. Economics of Innovation and New Technology, 26(5), 453–476. https://doi.org/10.1080/10438599.2016.1229854

Verdier, M. (2011). Interchange fees in payment card systems: A survey of the literature. Journal of Economic Surveys, 25(2), 273–297. https://doi.org/10.1111/j.1467-6419.2009.00607.x

Wang, J., & Wang, C. (2018). The influence of peer-to-peer lending on money supply. Journal of Commercial Economics, 6, 162–165.

Wang, M. Y. (2011). The correlation between money supply, credit scale and China’s inflation. Finance and Economy, 4, 23–25.

Wang, W. Q. (2001). On how the inflow of foreign capital and fluctuation of foreign exchange rate influence the supply of the money of our country. Financial Research, 3, 26–32.

Wong, C., & Eng, Y. (2019). Implications of platform finance on monetary policy transmission (Working Paper No. 970). Tokyo, ADBI. https://doi.org/10.1142/S0217590820500253

Wong, C., & Eng, Y. (2020). P2P finance and the effectiveness of monetary controls. The Manchester School, 88(4), 617–639. https://doi.org/10.1111/manc.12312

Xie, P., & Zou, C. (2012). A study on Internet based finance model. Journal of Financial Research, 12, 11–22.

Xie, P., Zhou, C., & Liu, H. (2014). The necessity and core principles of Internet financial supervision. Studies of International Finance, 8, 3–9.

Xu, Y., Luo, C., Chen, D., & Zheng, H. (2015). What influences the market outcome of online P2P lending marketplace?: A cross-country analysis. Journal of Global Information Management, 23(3), 23–40. https://doi.org/10.4018/JGIM.2015070102

Yao, T., & Song, L. (2021). Fintech and the economic capital of Chinese commercial bank’s risk: Based on theory and evidence. International Journal of Finance & Economics, 28(5), 1–15. https://doi.org/10.1002/ijfe.2528

Yimka, S. A. A., Ezekiel, O., & Olusegun, A. A. (2020). Monetary policy and financial performance of deposit money banks in Nigeria. Asian Social Science, 16(11), 123–123. https://doi.org/10.5539/ass.v16n11p123

Zhang, L., Hu, H. Q., & Zhang, D. (2015). A credit risk assessment model based on SVM for small and medium enterprises in supply chain finance. Financial Innovation, 1, 1–12. https://doi.org/10.1186/s40854-015-0014-5

Zhao, Y. Y., & Ye, Z. R. (2016). The influence of P2P peer-to-peer lending on the effectiveness of China’s monetary policy – Thoughts on the suspension of registration of P2P platforms in Shanghai and Shenzhen. Lanzhou Academic Journal, 4, 193–197.

Zhou, G., & Fan, C. (2016). The influence of monetary policy on the interest rate of online P2P lending market. Journal of Central University of Finance & Economics, 6, 29–38.

Zou, L. X., Wang, L. L., & Zhang, Q. (2021). Research on the distribution of consumer finance in commercial banks. Time Finance, 6, 36–38.