流动性风险对我国公司债券信用利差的影响——基于次贷危机背景的研究

基于2007年4月至2009年9月的周数据,就次贷危机时期流动性风险对我国公司债券信用利差的变化进行了实证研究。结果表明,公司债券信用利差的变化与非流动性指标之间存在稳定的正相关关系,且在控制其他变量之后该结果依然是稳健的,说明流动性风险已融入我国公司债券信用利差中。尤其是在次贷危机背景下,流动性风险对信用利差的影响显著增强了。     

Downside risk and defaultable bond returns

This paper analyzes the influence of downside risk on defaultable bond returns. By introducing a defaultable bond-trading model, we show that the decline in market risk tolerance and information accuracy leads to trading loss under downside conditions. Our empirical analysis indicates that downside risk can explain a large proportion of the variation in yield spreads and contains almost all valid information on liquidity risk. As the credit level decreases, the explanatory power of downside risk increases significantly. We also investigate the predictive power of downside risk in cross-sectional defaultable bond excess returns using a portfolio-level analysis and Fama-MacBeth regressions. We find that downside risk is a strong and robust predictor for future bond returns. In addition, due to the higher proportion of abnormal transactions in the Chinese bond market, downside risk proxy semi-variance can better explain yield spreads and predict portfolio excess returns than the proxy value at risk.     

The impact of central clearing on the market for single-name credit default swaps

In this article, we revisit the impact of the voluntary central clearing scheme on the CDS market. In order to address the endogeneity problem, we use a robust methodology that relies on dynamic propensity-score matching combined with generalized difference-in-differences. Our empirical findings show that central clearing results in a small increase in CDS spreads (ranging from 14 to 19 bps), while there is no evidence of an associated improvement in CDS market liquidity and trading activity or of a deterioration in the default risk of the underlying bond. These results suggest that the increase in CDS spreads can be mainly attributed to a reduction in CDS counterparty risk.     

Market microstructure,banks’ behaviour and interbank spreads: evidence after the crisis

We present a study of the European electronic interbank market of overnight lending (e-MID) before and after the beginning of the financial crisis. The main goal of the paper is to explain the structural changes of lending/borrowing features due to the liquidity turmoil. Unlike previous contributions that focused on banks’ dependent and macro information as explanatory variables, we address the role of banks’ behaviour and market microstructure as determinants of the credit spreads. We show that all banks experienced significant variations in their liquidity costs due to the sensitivity of interbank rates to the timing and side of trades. We argue that, while larger banks did experience better funding conditions after the crisis, this was not just a consequence of the “too big to fail” perception of the market. Larger banks have been able to play more strategically when managing their liquidity by taking advantage of the changing market microstructure.

     

Retail investors’ trading and stock market liquidity

The paper investigates the relation between retail investors’ participation in trading and aggregate stock market liquidity. The findings show a positive and significant relation between retail investors’ trading and stock market liquidity. Examination of the determinants of retail investors’ trading reveals that, on average, retail investors with more diversified trading activity tend to trade when liquidity is higher, the frequency of their arrival to the market is not affected by the level of liquidity, and retail investors are willing to trade at a lower liquidity level as sellers than as buyers. Moreover, retail investors’ trading does not create price noise at the aggregate market level. Overall, the evidence suggests that retail investors contribute to market quality.     

Do voluntary disclosures of bad news improve liquidity?

Can managers improve market liquidity and lower the cost of capital by providing voluntary earnings guidance? This study examines the impact of profit warnings on market liquidity and finds that voluntary disclosure of bad news actually improves market liquidity. By conducting an empirical study over the period 1995–2010 on NYSE, NASDAQ and AMEX listed firms, we find that firms that issue profit warnings show enhanced market liquidity during the post-announcement period. We show that profit warnings reduce information asymmetry and lower bid-ask spreads and increase trading volumes. These results are invariant to daily (short run) and monthly (long run) data after controlling for firm specific attributes. The results have major corporate policy implications. By voluntarily disclosing negative earnings guidance by managers, firms will experience significant improvement in market liquidity, thereby lowering the cost of capital. Our results are even more profound for firms that release bad news with extremely negative stock market impact. In other words, voluntary disclosure of bad news is good for market liquidity.     

Market liquidity as dynamic factors

We use recent results on the Generalized Dynamic Factor Model (GDFM) with block structure to provide a data-driven definition of unobservable market liquidity and to assess the complementarity of two observed liquidity measures: daily close relative spreads and daily traded volumes for a sample of 426 S&P500 constituents recorded over the years 2004-2006. The advantage of defining market liquidity as a dynamic factor is that, contrary to other definitions, it tackles time dependence and commonness at the same time, without making any restrictive assumptions. Both relative spread and volume in the dataset under study appear to be driven by the same one-dimensional common shocks, which therefore naturally qualify as the unobservable market liquidity shocks.     

我国债券市场流动性的现状及对策浅识

债券市场是金融市场的重要组成部分,债券流动性作为具有能够迅速低市场成本交易的能力,是债券市场发展必不可少的条件。近年来我国债券市场发展迅速,但由于交易平台、交易制度、交易品种和投资者结构等方面的原因,导致我国债券市场的流动性发展缓慢。本文通过对债券市场流动性现状的分析,找出债券市场流动性缺失的原因,并结合我国的实际情况提出相应的策略。     

Mispricing in the odd lots market in Brazil

We study the case of mispricing in the odd lots equity market in Brazil. Contrary to expectation, odd lot investors are paying higher prices than round lot investors. The pricing difference between markets is affected by market returns, volatility and spreads. Our main hypothesis is that; once the assets traded in the odd lot market are more illiquid than their counterparts, the mispricing is driven by liquidity factors. Additionally, we show that the mispricing yields an arbitrage opportunity that is not being traded away in the Brazilian market. Therefore, we propose regulators to review the market design for odd lots in Brazil. We argue that reducing the minimal trading unit in the round lots market would benefit investors.     

A vector-autoregression analysis of credit and liquidity factor dynamics in US LIBOR and Euribor swap markets

We use a vector autoregressive approach to investigate the determinants of US Dollar LIBOR and Euribor swap spread variation during the 2007–2009 crisis in global credit and money markets. Using market-quoted yield and spread data from the highly liquid credit default swap (CDS) and overnight index swap (OIS) markets, we provide compelling empirical evidence that liquidity risk factor shocks have been the dominant drivers of the variation in swap spreads over this period. Our findings provide an explanation for the temporal differences that liquidity shocks have on swap spreads and provide a contemporary perspective on the dynamical interplay between credit-default and liquidity risk-factors in these markets. As all our risk-factor proxies are traded in liquid derivatives markets, our findings have implications for proprietary hedge fund traders hedging an exposure to swap-spread risk, for bank treasurers managing their liquidity requirements and for central bankers seeking to better understand the response of markets to their macroeconomic policy implementation and liquidity management actions. Indeed our markets-based analysis suggests that the European Central Bank (ECB) has underperformed relative to the Federal Reserve in terms of the differing levels of market confidence placed in its macroeconomic policy actions and remedial liquidity interventions during the period.     

Does algorithmic trading harm liquidity? Evidence from Brazil

This paper provides the first evidence of algorithmic trading (AT) reducing liquidity in the Brazilian equities market. Our results are contrary to the majority of work which finds a positive relationship between AT and liquidity. Using the adoption of a new data center for the B3 exchange as an exogenous shock, we report evidence that AT increased realized spreads in both firm fixed-effects and vector autoregression estimates for 26 stocks between 2017 and 2018 using high-frequency data. We also provide evidence that AT increases commonality in liquidity, evidencing correlated transactions between automated traders.     

The effects of employee stock ownership on stock liquidity: Evidence from the Korean market

This study investigates the relationship between the level of employee stock ownership (ESO) and stock liquidity. Using Korean ESO data, we find that ESO is positively associated with various liquidity measures. Stock-owning employees tend to mitigate information asymmetry to increase their benefits from the transparent market. We also find stronger effects when the firm is not an affiliate of a chaebol family group, and is less monitored by financial analysts, foreign investors, and outside directors. Furthermore, we employ various robustness tests to mitigate potential endogeneity concerns.     

Empirical evidence on the effects of delisting from the National Market System

This study analyzes empirical evidence related to changes in market value and liquidity characteristics of stocks, which are delisted from the National Market System (NMS) due to an elevation of NMS listing standards. Our results are thus relatively independent of the financial conditions of the firms prior to delisting. We document significant increase in bid-ask spreads and decrease in trading volume after delisting. A significant negative stock price reaction around the delisting announcement period is also observed. Both sets of findings suggest that delisting from NMS increases a firm’s cost of capital by adversely affecting the liquidity of its stock. (JEL: G14)     

The effects of listing changes between NASDAQ market segments

This study analyzes the effects of listing changes within NASDAQ market segments during the period of 1998 to 2005. We find that firms phased up from the NASDAQ Small Capital Market (SmallCap) to the NASDAQ National Market (NNM) experienced significant declines in bid-ask spreads, the volatility of returns, and the probability of informed trading, and firms that phased down from NNM to the SmallCap experienced decreases in bid-ask spreads, but insignificant changes in the volatility of returns and the probability of informed trading. We also estimate simultaneous equations models of bid-ask spreads, return volatility, and trading volume for both groups of firms. The results confirm that improved liquidity is associated with the listing changes for the phase-up firms. However, the simultaneous equations model suggests that the decreases in bid-ask spreads for the phase-down firms are caused by the changes in share prices.     

Modeling non-normal corporate bond yield spreads by copula

This research focuses on modeling for how corporate bond yield spreads are affected by explanatory variables such as equity volatility, interest rate volatility, r, slope, rating, liquidity, coupon rate, and maturity. The existing literature assumes normality and linearity in the analysis, which is not the case in our sample. Thus, through a powerful and flexible copula approach, we study the dependence at the mean of the joint distribution by using the Gaussian copula marginal regression method and the dependence structure at the tails by using various copula functions. To our knowledge, this is the first application of the copula marginal regression model to bond market data. In addition, we employ several copula functions to test for the tail dependence between yield spreads and other explanatory variables. We find stronger tail dependence in the joint upper tail for the relation between equity volatility and yield spreads, among others. This result indicates the positive effect of equity volatility on yield spreads in the upper tail is greater than that in the low tail. This finding should be useful to practitioners, such as investors. By relying on better-fitting, more meaningful statistical models, this paper contributes to the extant literature on how corporate bond yield spreads are determined.     

On illiquidity of an emerging sovereign bond market

This study offers an analysis of a sovereign bond market in an emerging country, Turkey, and its illiquidity. We employ the Nelson-Siegel model to generate a term structure for interest rates directly from daily bond price quotes in the Turkish market. We take the noise measure, which is the byproduct of term structure estimation, as a proxy for market-wide illiquidity. Our results show that this noise measure can capture the illiquidity in the Turkish fixed-income market from global financial turbulence as well as local dynamics. Inflation uncertainty and sentiment are the major macro drivers of liquidity crunches. It has also become clear that liquidity in an emerging market such as Turkey in the aftermath of the 2008 crisis has been driven by global forces, however, since 2013 local factors have taken over. This apparent decoupling in liquidity between a major emerging market and global markets followed the approaching end of quantitative easing and a rise in economic turbulence in the country since then.     

The federal funds market,excess reserves,and unconventional monetary policy

Following the bankruptcy of Lehman Brothers, interbank borrowing and lending dropped, whereas reserve holdings of depository institutions skyrocketed, as the Fed injected liquidity into the U.S. banking sector. This paper introduces bank liquidity risk and limited market participation into a real business cycle model with ex ante identical financial intermediaries and shows, in an analytically tractable way, how interbank trade and excess reserves emerge in general equilibrium. Investigating the role of the federal funds market and unconventional monetary policy for the propagation of aggregate real and financial shocks, I find that federal funds market participation is irrelevant in response to standard supply and demand shocks, whereas it matters for “uncertainty shocks”, i.e. mean-preserving spreads in the cross-section of liquidity risk. Liquidity injections by the central bank can absorb the effects of financial shocks on the real economy, although excess reserves might increase and federal funds might be crowded out, as a side effect.     

The impact of security concentration on adverse selection costs and liquidity: an examination of exchange traded funds

We examine the determinants of liquidity and adverse selection costs in a sample of basket securities. Using Exchange Traded Funds (ETFs), we find evidence that adverse selection costs are decreasing in the number of equities held in the underlying portfolio, but adverse selection costs do not increase as the concentration among the securities increases. We find no evidence that industry concentration increases basket security adverse selection costs or reduces liquidity. We also document significantly lower levels of adverse selection costs in ETFs versus a matched sample of equities. In addition, ETFs have quoted dollar depth that is 35 times larger than a matched sample of equities, but ETFs also have higher effective and quoted spreads. However, when considering spreads and depth in a single metric, ETFs have significantly higher levels of liquidity.     

中国企业债券特征与风险补偿

利率风险、信用风险、流动性风险是债券市场上常见的风险类型,而债券的特征可以直接或间接地反映这些风险。本文通过分析中国企业债券市场上的债券发行量、已发行时间、债券期限、息票利率、收益率波动性、久期、凸性、到期收益率等债券特征对债券定价的影响,实证检验这些债券特征与债券风险及风险补偿的关系。本文的分析结论认为,这些债券特征显著地影响企业债券的定价,它们与利率风险、信用风险和流动性风险有显著关系,其中对企业债券信用风险的影响最大。流动性风险未被合理定价,低流动性债券未能获得显著的风险补偿。