Trust and Contracting with Foreign Banks: Evidence from China
Desheng Yin, Iftekhar Hasan, Liuling Liu, Haizhi Wang
Journal of Asian Economics,
December
2022
Abstract
We empirically investigate whether firms doing business in regions characterized as having high social trust receive preferential treatment on loan contractual terms by foreign banks. Tracing cross-border syndicated lending activities in China, we document that firms located in provinces with higher social trust scores obtain significantly low costs of bank loans and experience less stringent collateral requirement. To address the potential endogeneity issues, we adopt an instrumental variable approach and a two-sided matching model, and report consistent results. We also estimate a system of three equations through three-stage-least square estimator to accommodate the joint determination of price and non-price terms in loan contracts. In addition, we find that the effect of social trust on cost of bank loans is more prominent for firms located in provinces with relatively less developed formal institutions.
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What Does Peer-to-Peer Lending Evidence Say About the Risk-taking Channel of Monetary Policy?
Yiping Huang, Xiang Li, Chu Wang
Journal of Corporate Finance,
2021
Abstract
This paper uses loan application-level data from a peer-to-peer lending platform to study the risk-taking channel of monetary policy. By employing a direct ex-ante measure of risk-taking and estimating the simultaneous equations of loan approval and loan amount, we provide evidence of monetary policy's impact on a nonbank financial institution's risk-taking. We find that the search-for-yield is the main driving force of the risk-taking effect, while we do not observe consistent findings of risk-shifting from the liquidity change. Monetary policy easing is associated with a higher probability of granting loans to risky borrowers and greater riskiness of credit allocation. However, these changes do not necessarily relate to a larger loan amount on average.
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What Does Peer-to-Peer Lending Evidence Say About the Risk-taking Channel of Monetary Policy?
Yiping Huang, Xiang Li, Chu Wang
Abstract
This paper uses loan application-level data from a Chinese peer-to-peer lending platform to study the risk-taking channel of monetary policy. By employing a direct ex-ante measure of risk-taking and estimating the simultaneous equations of loan approval and loan amount, we are the first to provide quantitative evidence of the impact of monetary policy on the risk-taking of nonbank financial institution. We find that the search-for-yield is the main workhorse of the risk-taking effect, while we do not observe consistent findings of risk-shifting from the liquidity change. Monetary policy easing is associated with a higher probability of granting loans to risky borrowers and a greater riskiness of credit allocation, but these changes do not necessarily relate to a larger loan amount on average.
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What Does Peer-to-Peer Lending Evidence Say About the Risk-taking Channel of Monetary Policy?
Yiping Huang, Xiang Li, Chu Wang
Abstract
This paper uses loan application-level data from a peer-to-peer lending platform to study the risk-taking channel of monetary policy. By employing a direct ex-ante measure of risk-taking and estimating the simultaneous equations of loan approval and loan amount, we are the first to provide quantitative evidence of the impact of monetary policy on the risk-taking of nonbank financial institution. We find that the search-for-yield is the main workhorse of the risk-taking effect, while we do not observe consistent findings of risk-shifting from the liquidity change. Monetary policy easing is associated with a higher probability of granting loans to risky borrowers and a greater riskiness of credit allocation, but these changes do not necessarily relate to a larger loan amount on average.
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Should We Use Linearized Models To Calculate Fiscal Multipliers?
Jesper Lindé, Mathias Trabandt
Journal of Applied Econometrics,
No. 7,
2018
Abstract
We calculate the magnitude of the government consumption multiplier in linearized and nonlinear solutions of a New Keynesian model at the zero lower bound. Importantly, the model is amended with real rigidities to simultaneously account for the macroeconomic evidence of a low Phillips curve slope and the microeconomic evidence of frequent price changes. We show that the nonlinear solution is associated with a much smaller multiplier than the linearized solution in long-lived liquidity traps, and pin down the key features in the model which account for the di¤erence. Our results caution against the common practice of using linearized models to calculate scal multipliers in long-lived liquidity traps.
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The Joint Dynamics of Sovereign Ratings and Government Bond Yields
Makram El-Shagi, Gregor von Schweinitz
Journal of Banking and Finance,
2018
Abstract
Can a negative shock to sovereign ratings invoke a vicious cycle of increasing government bond yields and further downgrades, ultimately pushing a country toward default? The narratives of public and political discussions, as well as of some widely cited papers, suggest this possibility. In this paper, we will investigate the possible existence of such a vicious cycle. We find no evidence of a bad long-run equilibrium and cannot confirm a feedback loop leading into default as a transitory state for all but the very worst ratings. We use a bivariate semiparametric dynamic panel model to reproduce the joint dynamics of sovereign ratings and government bond yields. The individual equations resemble Pesaran-type cointegration models, which allow for valid interference regardless of whether the employed variables display unit-root behavior. To incorporate most of the empirical features previously documented (separately) in the literature, we allow for different long-run relationships in both equations, nonlinearities in the level effects of ratings, and asymmetric effects in changes of ratings and yields. Our finding of a single good equilibrium implies the slow convergence of ratings and yields toward this equilibrium. However, the persistence of ratings is sufficiently high that a rating shock can have substantial costs if it occurs at a highly speculative rating or lower. Rating shocks that drive the rating below this threshold can increase the interest rate sharply, and for a long time. Yet, simulation studies based on our estimations show that it is highly improbable that rating agencies can be made responsible for the most dramatic spikes in interest rates.
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