Financial Technologies and the Effectiveness of Monetary Policy Transmission
Iftekhar Hasan, Boreum Kwak, Xiang Li
European Economic Review,
January
2024
Abstract
This study investigates whether and how financial technologies (FinTech) influence the effectiveness of monetary policy transmission. We use an interacted panel vector autoregression model to explore how the effects of monetary policy shocks change with regional-level FinTech adoption. Results indicate that FinTech adoption generally mitigates the transmission of monetary policy to real GDP, consumer prices, bank loans, and housing prices, with the most significant impact observed in the weakened transmission to bank loan growth. The relaxed financial constraints, regulatory arbitrage, and intensified competition are the possible mechanisms underlying the mitigated transmission.
Read article
Department Profiles
Research Profiles of the IWH Departments All doctoral students are allocated to one of the four research departments (Financial Markets – Laws, Regulations and Factor Markets –…
See page
MULTIMSPROD/MULTIMSPROD AUT
MULTIMSPROD/MULTIMSPROD AUT MULTIMSPROD = Enhancing the Micro Foundation of the Research Output of National Productivity Board (NPBs). Using CompNet and Expanding its Micro Data…
See page
PD Dr Mirko Titze –
PD Dr Mirko Titze Current Position since 4/14 Head of the Centre for Evidence-based Policy Advice (IWH-CEP) Halle Institute for Economic Research (IWH) – Member of the Leibniz…
See page
Privacy
Data Protection Policy We take the protection of your personal data very seriously and treat your personal data with confidentiality and in compliance with the provisions of law…
See page
Projects
Our Projects 07.2022 ‐ 12.2026 Evaluation of the InvKG and the federal STARK programme On behalf of the Federal Ministry of Economics and Climate Protection, the IWH and the RWI…
See page
People
People Job Market Candidates Doctoral Students PhD Representatives Alumni Supervisors Lecturers Coordinators Job Market Candidates Tommaso Bighelli Job market paper: "The…
See page
Lecturers
Lecturers at CGDE Institutions Jordan Adamson Assistant Professor at Institute for Empirical Economic Research, Leipzig University. Website Course: Econometrics (winter term…
See page
Department Profiles
Research Profiles of the IWH Departments All doctoral students are allocated to one of the four research departments (Financial Markets – Laws, Regulations and Factor Markets –…
See page
BigTech Credit, Small Business, and Monetary Policy Transmission: Theory and Evidence
Yiping Huang, Xiang Li, Han Qiu, Dan Su, Changhua Yu
IWH Discussion Papers,
No. 18,
2022
Abstract
This paper provides both theoretical and empirical analyses of the differences between BigTech lenders and traditional banks in response to monetary policy changes. Our model integrates Knightian uncertainty into portfolio selection and posits that BigTech lenders possess a diminishing informational advantage with increasing firm size, resulting in reduced ambiguity when lending to smaller firms. The model suggests that the key distinction between BigTech lenders and traditional banks in response to shifts in funding costs, triggered by monetary policy changes, is more evident at the extensive margin rather than the intensive margin, particularly during periods of easing monetary policy. Using a micro-level dataset of small business loans from both types of lenders, we provide empirical support for our theoretical propositions. Our results show that BigTech lenders are more responsive in establishing new lending relationships in an easing monetary policy environment, while the differences in loan amounts are not statistically significant. We also discuss other loan terms and the implications of regulatory policies.
Read article