预算软约束与风险偏好强化：非均衡式创新中的风险点识别研究

计划经济体制导致资源使用效率低下，社会中存在大量非均衡市场和领域，这为中国企业实施均衡式创新创造了条件。随着均衡式创新的帕累托改进空间逐渐缩小，利用非均衡式创新提升资源使用效率已刻不容缓。在非均衡式创新过程中，政府极易侵入社会主体创新边界，导致创新租值降低或耗散。政府对创新主体的财政资金扶持容易对创新预算形成软约束，导致创新目标替代，强化创新主体的风险偏好，放大创新系统风险，诱发俘获政府行为，最终导致创新企业逆向淘汰。因此，明确政府在创新活动中的边界与风险，对我国实施创新驱动发展战略至关重要。     

Seeking causality between liquidity risk and credit risk: TED-OIS spreads and CDS indexes

Since the Global Financial Crisis, credit risk and its management have become one of the most appealing topics in finance literature. In this study, we investigate the interaction of credit risk and liquidity risk through the TED and the OIS spreads and various credit default swap indexes from the CDX and the iTraxx family (CDXIG, CDXHY, ITEEU, and ITEXO). The empirical analysis is conducted through the Kapetanios unit root test, the EGARCH model, the Bootstrap Toda-Yamamoto modified Wald test and the asymmetric causality analysis. The results of symmetric and asymmetric causality methods reveal that liquidity risk appears to play an important role in credit risk, and in most cases, the TED and the OIS spreads dominate the CDS indexes. It can, thus, be concluded that the TED and the OIS spreads are superior to the CDS indexes as an early warning indicator in the credit market.     

货币传导异质性与实体经济流动性配置的“马太效应”

货币政策支持实体经济高质量发展的关键在于疏通货币政策传导机制,引导流动性进入重点领域和薄弱环节,因此货币资金的配置效率至关重要。本文基于交互效应面板分位数回归,测度货币政策对实体企业流动性的异质性效应。研究发现:在样本期内,实体经济流动性配置陷入了资金越充裕的企业越易于获得融资,越易于获得融资的企业资金越充裕的窘境。这种流动性配置的“马太效应”具体表现为,货币政策对尾部企业的支持力度不及头部企业的一半;虚拟经济对尾部企业的“分流效应”高达头部企业的3倍,从而强化了流动性配置的失衡。因此,当前密集出台的一系列普惠政策有助于提升流动性配置效率,进一步完善调控模式的关键在于健全现代化金融体系,增强货币政策的靶向性和针对性。     

What prevents consumers that are aware of Airbnb from using the platform? A mixed methods approach

The hospitality sector is now characterised by the co-existence of traditional providers and sharing economy enterprises. It is important to better understand what prevents the use of peer-to-peer accommodation rentals in the tourism marketplace. Adopting a mixed-methods approach, this study first examines travellers’ Airbnb use constraints, and then profiles 252 Airbnb non-users based on their constraints and characteristics. The findings suggest that travellers do not use Airbnb because of distrust in the providers, in the platform and in other users, as well as perceived risk and unfamiliarity. Loss of service quality, lack of local experience, legal and regulatory issues, and disinterest also prevented consumers to book Airbnb accommodations. A cluster analysis divided non-users into three segments: Traditional travellers, Sharing economy misbelievers and Airbnb prospective users. Significant differences based on age confirmed that young travellers are more confident in using peer-to-peer accommodation platforms and more interested in the philosophy.     

Commonality in liquidity among Middle East and North Africa emerging stock markets: Does it really matter?

This study investigates commonality in daily liquidity among 11 emerging stock markets from the Middle East and North Africa from January 2005 to June 2017. First, we test long memory in liquidity in these markets. Second, we select a number of factors eligible to affect liquidity commonality among local, regional and global factors. We find that regional and US factors do not explain liquidity variations in all the markets that exhibit low sensitivity to external factors. Our results are robust to the use of alternative proxies. The analysis in sub-periods confirms our results showing that most markets are not very sensitive to fluctuations and external shocks of liquidity. For international investors, stock markets in the Middle East and North Africa present an opportunity for further diversification, as these markets exhibit weak correlations between them and with the global market with regard to liquidity.     

On the predictability of the distribution of excess returns in currency markets

This paper investigates the predictability of foreign exchange (FX) volatility and liquidity risk factors on returns to the carry trade, an investment strategy that borrows in currencies with low interest rates and invests in currencies with high interest rates. Previous studies have suggested that this predictability could have been spuriously accounted for due to the persistence of the predictors. The analysis uses a predictive quantile regression model developed by Lee (2016) that allows for persistent predictors. We find that predictability changes remarkably across the entire distribution of currency excess returns. Predictability weakens substantially in the left tail once persistence is accounted for, implying a moderate negative predictive relation between FX volatility risk and carry trade returns. By contrast, it becomes stronger in the right tail. Furthermore, we provide evidence that FX volatility risk still dominates liquidity risk after controlling for persistence. These findings suggest that the persistence of the predictors needs to be taken into account when one measures predictability in currency markets. Finally, out-of-sample forecast performance is also presented.     

There is no smoke without a fire: The effect of government interventions in less advanced economies

The lack of liquidity in the interbank market during the crisis of 2007–2011 led governments to impose different policies to rescue their countries’ banking sectors. While in advanced countries interventions in the banking sector were mostly related to a lack of liquidity and significant asymmetric information regarding counterparty risk, in many less advanced countries they had a precautionary motive. In our article, we investigate the effectiveness of policy interventions on healthy banking markets, with possible negative spill-over effects from other countries. To this extent, we use an event study methodology to test the effect of liquidity and financial sector policy announcements on interbank spread changes in six Central and Eastern European (CEE) countries over the period between 2007 and 2011. We find that standard liquidity interventions did not provide effective stabilization. In fact, our evidence suggests that the spread widened after their announcement, probably as a result of the negative signal and consequently increased risk aversion of banks. In such situations, regulators should consider policy instruments that aim to decrease uncertainty in the market.     

Are REITs more resilient than non-REITs? Evidence from natural experiments

REITs draw attention from investors around the world, yet our understanding of the various risks associated with such securities is limited. Using the introduction of Arrowhead, a low-latency high-frequency trading platform, to the Tokyo Stock Exchange and the financial crisis of 2008 as natural experiments, we compare the resilience of REITs and equities in terms of liquidity and volatility. The results indicate that the introduction of Arrowhead improved the quality of the Japanese REIT market but also increased the probability of flash crashes. We also find that although the financial crisis significantly deteriorated overall equity market quality, the Japanese REIT market was resilient. Finally, using a difference-in-differences regression model, we show that the higher transparency and better price discovery of REITs, compared to non-REITS, protected them from the negative effects of the financial crisis and the introduction of Arrowhead. Overall, our analysis shows that REITs are more resilient than non-REITs.     

环境规制、融资约束与企业污染减排——来自排污费标准调整的证据

“十四五”规划提出建设人与自然和谐共生的现代化,这要求持续推进污染减排促进经济绿色低碳转型,实现环境与经济协同发展。基于2007年起排污费提高的政策冲击和2004-2013年工业企业污染数据,本文使用倍差法考察排污费提高的污染减排效果以及融资约束对政策效应的影响。研究发现排污费提高后,污染排放水平显著下降,但产出也受到较大冲击;企业减排方式存在明显差异,大型企业主要通过降低污染强度的方式来降低污染排放,而中小型企业则主要采取降低生产规模的方式来降低污染排放;进一步基于环境投融资角度对企业减排行为的分析揭示,融资约束影响中小企业污染减排,加剧排污费提高对产出的影响。因此,提高绿色金融的环境投融资供给能力是促进经济绿色转型的重要途径。     

The dynamics of ex-ante weighted spread: an empirical analysis

We model the evolution of the ex-ante weighted spread (EWS) embedded in an open Limit Order Book (LOB) and investigate the impact of observed market-related variables on the spread. Our modeling involves decomposing the joint distribution of the weighted spread into simple and interpretable distributions. Our main results have several implications: (i) EWS features high persistence in autocorrelation; (ii) lower-level LOB remains liquid even after a high trade imbalance; (iii) lower- and higher-level LOB react to temporal spread change and trade imbalance in different ways; and (iv) both trade durations and quote durations have seasonality effects. We also show, through a simple high frequency trading exercise, that the use of the model can be economically important. Further, our model provides an estimation of market resilience.