Does transparency of central banks communication affect credit market? Empirical evidence for advanced and emerging markets

This study examines the effect of the transparency of central banks communication on credit market. In particular, this study investigates how central banks’ effort to provide more detailed information about their objectives regarding the price stability (monetary policy transparency) and financial stability (financial stability transparency) policies are able to mitigate information asymmetry on credit market, through the net interest margin charged by the banks to engage in financial intermediation (credit spread). The findings denote central bank transparency is able to reduce the credit spread. Additionally, the evidence suggests the effect of central bank transparency on the credit spread is greater in emerging markets, where there is less information available on credit market. In brief, transparency in central banks communication is an important tool to mitigate the information asymmetry in the credit market.     

Exploring the mismatch between credit ratings and loss-given-default: A credit risk approach

It is commonly observed that high grade loans with better ratings are often associated with low recoveries if they default (i.e. with relatively high loss-given-default (LGD)). To address the mismatch problem, this paper proposes a credit risk approach by minimizing LGD for higher rated loans as a risk-rating matching standard in the sense that the decreasing LGD from creditors’ perspective is associated with higher credit rating for the borrower. This standard forces customers’ credit rating of each grade to be optimally determined in correspondence to its LGD, which means the LGD of high grade loans tends to be low. The approach is then tested using three credit datasets from China, i.e. credit data from 2044 farmers, 2157 small private businesses and 3111 SMEs. The empirical results show that the proposed approach indeed guides the way to solve the mismatch phenomenon between credit ratings and LGDs in the existing credit rating literature. By optimally determining credit ratings, the findings derived from this paper help provide a valuable reference for bankers, and bond investors to manage their credit risk.     

The provision of long-term credit and firm growth in developing countries

Do small and young firms benefit from an increase in the provision of long-term loans? By combining firm-level data from 62 countries (over the period 2006–2016) with a new database on short-term and long-term credit provided to the private sector, this article shows a higher provision of long-term credit does not stimulate growth of small and young firms. On the contrary, an increase in the availability of short-term credit spurs firm growth. The main explanation of this (counter-intuitive) result is the differential impact of short-term and long-term credit provision on small and young firms’ access to credit. Young and small firms are able to take advantage of an increase of short-term loans, which allow them to switch from informal finance to bank loans. However, a higher level of long-term credit does not alleviate credit constraints faced by opaque firms because these funds are allocated towards transparent borrowers.     

Decomposing financial (in)stability in emerging economies

The analysis of the build-up of risks in emerging economies have traditionally been scarce and focused mostly on external risks, despite the recent substantial development of their financial system. This paper builds an index of financial vulnerabilities tailored to emerging economies, grouping 32 indicators around four poles: valuation and risk appetite, imbalances in the non-financial sector, financial sector vulnerabilities, and global vulnerabilities. It adopts a model-free approach, purposely departing from early warning models or complex econometric constructs, and rely on data made already available by international organisations. Our index of financial vulnerabilities enables a granular mapping of where risk originates and how it spreads to other parts of the financial system. Using various data visualisation tools and benefitting from the flexibility of our index’s methodology, we are able build a narrative of the evolution of financial stability in emerging economies from 2005 to 2015. Finally, we also discuss the relation between our index and both the business cycle (proxied by GDP) and the credit cycle (proxied by the credit-to-GDP gap).     

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.     

Promote Competitive Neutrality to Facilitate China’s Economic Development:Outlook,Policy Simulations,and Reform Implementation-A Summary of the Annual SUFE Macroeconomic Report(2019-2020)

Twenty nineteen(2019)marked another year of lethargic growth in the Chinese economy amidst escalated internal and external complexities.Internally,the country's macroeconomic landscape was overcast continuously by fallen consumption growth,plunged growth in manufacturing investment,rapid accumulation of household debt,risen income inequality,and the overhang of local government debt.The nation's external conditions did not fare any better,with drastically declined growth in imports and exports,continued trade tensions with the US,and weakened external demand.Based on the IAR-CMM model,which takes account of both cyclical and secular factors,the baseline real GDP growth rate is projected to be 6.0%in 2020(5.9%using more reliable rather than the official data),with a downside risk.Alternative scenario analyses and policy simulations are conducted,in addition to the benchmark forecast,to reflect the influences of various internal and external uncertainties.The findings emanated from these analyses lead us to stress the importance and urgency of deepening reform to achieve competitive neutrality for China’s transformation into a phase with sustainable and high-quality development.     

区块链技术在信用经济建设中的运用研究

2008年全球金融危机后,出口和固定资产投资增速逐渐放缓,消费成为了拉动经济增长的关键点,信用经济是各行各业的连接器,也是拉动内需的“法宝”和撬动经济增长的“利器”。当前,我国信用经济发展面临数据“孤岛”、个人信用信息保护不足、“羊群效应”明显等问题,随着区块链发展上升到国家战略层面,区块链与社会经济发展融合成为趋势,区块链和信用经济十分契合,可以解决信用经济发展过程中遇到的问题。为推动“区块链+信用经济”创新发展,必须加强顶层设计,完善信用法律体系;保护用户信息安全,完善风险管理体系;强化信用监管,营造良好发展环境;推广智能合约,拓展业务场景;搭建人才支撑发展体系,提供智力保障。     

结构性违约、信用分层与评级机构的策略性反应——来自中国信用债市场的证据

2014年以来，以主要集中于民企的"结构性违约"宣告了中国信用债市场刚性兑付的"结构性打破"，债券市场进入了新的发展阶段。利用2013-2017年债券数据，本文深入分析了结构性违约对评级机构行为和效率的影响，主要有如下发现：首先，信用评级的市场公信力会因政府隐性担保导致的"刚性兑付"而削弱；其次，结构性违约爆发之后，信用评级的整体效率有所提升，但在不同发行主体呈现分化，对于非城投类企业，信用评级对发行利差的影响显著增大，意味着评级公信力的显著提升，而对于城投类企业，评级效率并未明显改善；进一步研究表明，出现这种情况的原因在于评级机构在违约后采取了差异化的评级策略，对于违约风险较大的非城投类债券，评级机构倾向采取"收紧评级"的策略；对于违约风险较低的城投债，评级机构倾向于采取"放宽评级"的策略。这种策略性行为是导致市场"信用分层"的重要原因，并有可能推升民营企业的融资成本。