This paper argues that ffnancial lease, a dominant representation of shadow banking in China, plays a special role in improving the capital allocation efficiency. In a two-sector general equilibrium model with heterogeneous firm, information asymmetry and financial frictions, this paper shows that existence of finance lease market increases aggregate TFP by allowing low productivity SOE firms to lend out and allowing high productivity POE firms to leverage up. Due to the repossession advantage, financial leasing is a “good“ form of shadow banking that does not necessarily cause financial systemic risks.

Using administrative universal business registration data as well as primary offline and online surveys of small businesses (including unregistered self-employments) in China, we examine (i) whether digitization helps small and medium enterprises (SMEs) better cope with the COVID-19 pandemic, and (ii) whether the pandemic has spurred digital technology adoption. We document significant economic benefits of digitization in increasing SMEs' resilience against such a large shock, as seen through mitigated demand decline, sustainable cash flow, ability to quickly reopen, and positive outlook for growth. Post the January 2020 lockdown, firm entries exhibited a V-shaped pattern, with entries of e-commerce firms experiencing a less pronounced immediate drop and a quicker rebound. Moreover, the pandemic has accelerated the digital transformation of existing firms and the industry in multiple dimensions (e.g., altering operation scope to include e-commerce, allowing remote work, and adopting electronic information systems). The effect persists more than one year after reopening, and is more pronounced for certain sectors, firms in industrial clusters, and areas with more digital inclusion but less financial efficiency, constituting initial evidence for the long-term impact of the pandemic and the supposedly transitory mitigation policies.

This paper investigates the consequences of Chinese regulators deviating from a long-standing full bailout policy in addressing a city-level commercial bank’s distress. This event led to a persistent widening of credit spreads and a significant decline in funding ratios for negotiable certificates of deposit issued by small banks relative to large ones. Our empirical analysis pinpoints a novel contagion mechanism marked by diminished confidence in bank bailouts, which accounts for the subsequent collapse of several other small banks. However, the erosion of confidence in government guarantees enhances price efficiency and credit allocation while discouraging risk taking among small banks.

We examine communication of political connections in corporate China, and show that politically inclined positive words—words in connotation of political sentiment—serve as a distinct and effective signaling device for corporate political connections. Using a large sample of corporate news, we find that news’ political sentiment, instead of orthodox political measures such as occurrences of political nouns and political entities, reflects executives’ political connections for private enterprises, and is related to rent-seeking benefits in government subsidy, tax refund, financing constraints and political risk. Our results demonstrate that political sentiment is an effective way to decode subtle corporate political connections in modern China’s “Mind Politics” environment that infiltrates into private corporations.

This paper explores the determinants of cryptocurrency failure and the pricing of crypto failure risk. We document different significant market- and characteristic-based predictors for coin and token failures. The introduction of Bitcoin futures and the outbreak of COVID19 affect the importance of many predictors. Investors require extra return for bearing high failure risk of crypto assets. The return difference across high and low failure risk crypto assets is not explained by the market, size and momentum factors in the cryptocurrency market. Finally, investors benefit from diversifying into high failure risk crypto assets that is little correlated with the stock market.

“双碳”政策背景下，ESG 投资已成为主流投资机构的重要策略。文章基于基金持股来评估基金将 ESG 因素纳入投资决策中的程度，以探究 ESG 基金是否比传统基金具备更好的 ESG 表现。结果表明：(1)与传统基金相比，ESG 基金的 ESG 表现并不存在显著差异，ESG 基金存在“言行不一”的现象。(2) 业绩排名压力和缺乏外部监督可能是导致 ESG 基金“言行不一”的原因，而 ESG 基金“言行一致”主要由组织价值观驱动。进一步研究发现：ESG 基金能吸引市场上更多的资金流量。但投资者仅被基金外在的 ESG 标签吸引，未能区分基金在 ESG 表现上的差异。而获得更多资金流量的 ESG 基金并不能创造更好的超额收益。文章主要结论对我国进一步完善资本市场绿色金融体系具有一定政策启示意义。

Using a proprietary bank-loan-level dataset, we find a surprising negative relation between loan spreads and minimum wage. We propose a stylized model to explain the relation: banks filter out the low-quality borrowers after the wage shocks, resulting in a separating equilibrium. Our evidence is consistent with the model’s predictions: (1) city-level and firm-level evidence shows that an increase in minimum wage is negatively associated with the likelihood of obtaining bank loans, especially for labor-intensive borrowers, (2) deal-level evidence shows that both the average default rate and loan spreads decrease when minimum wage rises, and (3) subsequently, labor intensive firms that are still able to obtain bank loans when minimum wage rises outperform their peers. Our findings suggest that as more credit resources are allocated to better quality firms and leave other firms far more behind, the existence of such credit reallocation effects can exacerbate the divergence between higher and lower quality firms induced by an increase in minimum wages.

How do expectation biases causally affect households’ financial decisions? We exploit a unique setting and study the repayment decision in solar loans, in which households borrow to purchase and install solar photovoltaic (PV) systems. Electricity production – the benefit that solar panels generate – primarily depends on sunshine duration. This creates exogenous within-person across-period variation in recent signals that borrowers observe and thereby expectations of future electricity production. We find that a one-standard-deviation decrease in sunshine duration in the week right before the repayment date leads to a 20.8% increase of delinquency, even though deviated past sunshine duration does not predict that in the future. Survey evidence shows that agents make more positive forecasts of future electricity production after experiencing longer sunshine duration in the past week. We examine a battery of alternative explanations and rule out mechanisms based on liquidity constraints and wealth effects.

An optimal tax and borrowing plan determines the marginal cost of servicing government debt, p', and makes the government’s debt risk-free. An option to default restricts debt capacity. Optimal debt-GDP ratio dynamics are driven by 1) a primary deficit, 2) interest payments, 3) GDP growth, and 4) hedging costs. Hedging influences debt capacity and debt transition dynamics. For plausible parameter values, we make comparative dynamic quantitative statements about debt-GDP ratio transition dynamics, debt capacity, and how long it would take our example economy to attain that calibrated equilibrium debt capacity.

The RMB exchange rate policy follows a “two-pillar” rule, with the market pillar reflecting foreign exchange market conditions and the basket pillar stabilizing the RMB index. This paper documents a clear pattern of regime-switching in the policy coefficients on the market pillar. And the regime-switching patterns are driven by macroeconomic variables, the intraday market condition as well as the news on trade conflicts. In a Markov-switching rational expectations model, we demonstrate that regime-switching rules expand the policy parameter’s space over which a unique equilibrium exists and the self-fulfilling depreciation is ruled out. Thus, this paper rationalizes the use of counter-cyclical factor— a policy tool proposed to stabilize the RMB exchange market.