While it is generally believed that pressure from peers induces employees to improve their efficiency and performance, little is known about whether employees' improved performance is detrimental to the interests of others. Based on a granular dataset at the individual-month level of investment advisors' and customers’ accounts from a large retail bank in China, we find that peer pressure, as measured by the performance of advisors relative to their colleagues in the previous month, can induce the advisors to sell more financial products, but can also exacerbate misselling, resulting in a significant increase in sales of poor-quality financial products ("high-risk-low-return" products). The causal link is identified with an exogenous change of peer size. The peer pressure effects are pronounced among poor performance advisors, and client complaints play a monitoring role in curbing misselling. By exploring the correspondence between advisors and clients, we find that misselling occurs mainly between female advisors and male clients, and between advisors who lack work experience and clients who lack investment experience.

We examine the dynamic connection between competition and bank risk within the credit market through the lens of moral hazard affecting banks and borrowers. By combining the perspectives of “competition-fragility” and “competition-stability”, we reveal the intricate influence that competition exercises over bank risk in this financial landscape. Our research scrutinizes these theoretical constructs empirically, drawing upon a dataset comprising 236 rural commercial banks in China from 2012 to 2020. The findings indicate a curvilinear relationship between competition and bank risk, as an inverted U-shape. Furthermore, competition plays a dual role - it improves borrowers’ moral hazard dilemma while exacerbating it for banks. This highlights both riskshifting and risk-margin effects within the competitive dynamics. Ultimately, the nonlinear association between competition and bank risk emerges due to the intricate interplay between the moral hazard factors affecting borrowers and banks.

This paper provides the first theory and evidence on the role of presale policies in the residential housing market. We start with constructing a novel dataset of unfinished projects, presale policies, and land auction outcomes across 270 major cities in China. We then identify 2,330 unfinished residential projects from 2010 to 2017 on a citizen complaint website run by the central government. We find that both presale criterion and postsale supervision of construction costs relate to a lower probability of unfinished projects. But only presale criterion relates negatively to the pace of new housing development, measured by developers' multitasking and land auction outcomes. A back-of-the-envelope calculation suggests that the average bundle of presale policies is inferior to the Pareto frontier in our sampled cities. Tightening the regulation on postsale supervision by 2 standard deviations may lead to a 58% reduction in the occurrence of unfinished projects, while keeping the pace of new housing development unchanged. Eliminating unfinished projects would entail a drastic increase in both presale criterion and postsale supervision, with slower housing development.

Understanding the impacts of new technology and innovations on the banking sector is important and of growing interest. However, there is limited research on the detailed channels of the impacts, and consequently, the evaluations for the aggregate welfare impacts. We contribute both empirically and quantitatively. We construct a new data set for Chinese banks. We ffnd banking innovations can improve efficiency, and mostly reduce non-interest costs but not so much on deposit rates. We show the ffnding is quite robust under a battery of checks. In a new structural, quantitative model, banks have heterogeneous capital, decide innovation investment and also risky lending, face regulations on the capital requirement and have limited liability. When aggregate new technology improves, it can reduce financial intermediation costs and social deadweight loss; however, it will also change the bank’s risk consideration and increases moral hazard when the cost is largely reduced. We also find several other new implications for R&D investment credit policy and Capital Requirement policy (CAR).

We provide a model of hedge fund securing financing from a prime broker where deterioration in collateral value exacerbates counterparty risk and liquidity risk for the prime broker due to strategic actions of hedge funds. Costs of liquidity insurance and enforcing contracts determine hedge fund leverage. The model provides several new insights. First, it uncovers a new channel for funding liquidity that can explain why illiquid funds fare worse in times of stress and why better governed funds fared better during the financial crisis. Second, the model provides a new testable hypothesis that systematic or idiosyncratic shocks to fundamentals of bank holding companies may spillover to connected hedge funds through internal capital markets. It also offers an identification strategy to distinguish between possible competing hypotheses. Third, strong governance at hedge funds may reduce incentives to invest in profitable opportunities. Fourth, banking reforms such as Supplementary Leverage Ratio, Liquidity Coverage Ratio and Standing Repo Facility intended to improve resilience of banks may also make hedge funds less vulnerable to shocks in the banking sector. Fifth, the model offers a possible reconciliation for the mixed evidence on the impact of leverage on hedge fund survival documented in the literature.

This study analyses financial consequence of the moral hazard activities of the controlling shareholder. Using a sample of Chinese listed companies during 2002 to 2009, we find that firms with a wider divergence between the controlling shareholder’s control rights and cash flow rights are more financially constrained and the cost of equity is significant higher in these firms. Our results suggest that potential tunneling and other moral hazard activities of the controlling shareholder are facilitated by his excess control rights. These activities have a real impact on corporate financial outcomes.

Although asymmetry of information and positive externalities in venture capital provide the justification for government intervention, no one can guarantee that distortion of resource allocation does not exist when government correct market failures. From the point view of incomplete contract theory, government intervention could affect the achievement of contract for the unverified information and actions, leading to inefficiency of venture capital, therefore It is important for us to understand the performance of public policy which is how to improve how to improve the venture capital. To establish the sequential offer game model with moral hazard of entrepreneur, considering with the additional funds provided by the government and certification of quality as well as the spillover effects of venture capital. Under the assumption that the government has the ability to identify high-ability entrepreneur, the introduction of government leading fund and the arrangement of control can induce more specific investment of entrepreneurs. The preceding investment provide investors with additional information, therefore it is optimal. The non-government leading fund supported entrepreneurs will face with worse situation since limited funding and the requirements of capital preservation. Therefore government leading fund should carefully select the investment strategy.

There are several kinds of risks among bank, Real estate developer and assessment agency in mortgage loan of construction in progress. The risks were respectively analyzed theoretically by the game models based on the experience inductive of reverse selection between bank and assessment agency and moral hazard between bank and real estate developer. Conclusion can be according to the models drawn as following: long-term cooperation should be introduced between bank and assessment agency, D/V should be appropriately set by bank and hence the optimal strategy of bank should be to launch loan.

Dynamic allocation of control rights between managers and investors affects policy of the dividend and value of enterprise. The paper studied the relevant factors that affect optimal debt ratio and allocation of control right. We suggest that the enterprise decrease the debt ratio with the increase of moral hazard, liquidity risk and investors’ absolute risk aversion. With the increase of shareholder’s control right, the relationship between shareholder’s control right and managers’ moral hazard is reversed from positive to negative. The implication of the paper is moderate debt ratio may achieve the tough constraint on the managers’ decision.

Businesses often face the problem of providing incentives for agents to work effectively together on projects that develop over time. The agents' costly and unobservable effort jointly affects the survival of the project and thus the expected value of its cash now. A key feature of many contracting problems with multiple agents is that the agents exert effort at different times: some at the outset and some over time. The optimal timing of compensation reflects the timing of effort with payment for up-front effort preceding compensation for continuous effort. Deferring payment for agents exerting effort over time improves their incentives without impairing incentives for the up-front effort because this effort is sunk once the project is set up. The exact pattern of compensation between the agents with continuous effort depends on the relative severity of their moral hazard problems. In a special case where moral hazards are equally severe, the agents equally split the cash flow once it becomes available. This study suggests an approach to understanding a broad set of contracting problems in economics and finance. It rationalizes business conventions such as deferred compensation for top executives, the 50:50 split between law firm partners, and profit shares of influential directors (or lead actors) and residual claims of producers in the movie industry. Furthermore, the model predicts business failures such as the crisis in the mortgage industry due to the lack of characteristics suggested in the optimal contract.