Does lending relationship help or alleviate the transmission of liquidity shocks? Evidence from a liquidity crunch in China

We examine China’s June 2013 liquidity crunch as a negative shock to banks and analyze the wealth effects on exchange-listed firms. Our findings suggest that liquidity shocks to financial institutions negatively impact borrower performance, particularly borrowers reporting outstanding loans at the end of 2012. Stock valuations of firms with long-term bank relationships, however, outperform the market and experience smaller subsequent declines in investment than peers lacking solid banking relationships. This effect is the strongest for firms that enjoy good relations with China’s large state-owned banks or foreign banks, and weakest for firms whose connections are solely with local banks. We document a positive correlation between the stock performances of firms and the stock performances of lender banks and the likelihood of lender banks operating as net lenders in the interbank market. These results suggest that banks transmit liquidity shocks to their borrowing firms and that a long-term bank-firm relationship may mitigate the negative effects of a liquidity shock.     

Stock Liquidity Risk and the Cross‐sectional Earnings‐Returns Relationship

We argue that a higher sensitivity to aggregate market‐wide liquidity shocks (i.e., a higher liquidity risk) implies a tendency for a stock's price to converge to fundamentals. We test this intuition within the framework of the earnings‐returns relationship. We find a positive liquidity risk effect on the relationship between return and expected change in earnings. This effect on the earnings‐returns relationship is distinct from the negative effect observed for stock illiquidity level. Notably, the liquidity risk effect is evident (absent) during periods of neutral/low (high) aggregate market liquidity. We also show that the liquidity risk effect is dominant in firms that: (a) are of intermediate size; (b) are of intermediate book‐to‐market; and (c) are profit making.     

Dynamic and asymmetric impacts of macroeconomic fundamentals on an integrated stock market

A large body of evidence indicates that macroeconomic and financial variables are dynamically interrelated. In an international setup, we analyze the transmission mechanisms of macroeconomic shocks on the stock market of a small open economy in an increasingly integrated world. We use a time-varying vector error correction model (VECM) that allows analysis of asymmetric impacts that depend on the state of the business cycle. A special focus is directed on monetary policy surprises, where we find that foreign shocks exert a strong influence on an integrated stock market, and that the stage of the business cycle heavily affects the signals of the shocks.     

The impact of aggressive orders in an order-driven market: a simulation approach

This article investigates resiliency in an order-driven market. On basis of a vector autoregressive model capturing various dimensions of liquidity and their interactions, I simulate the effect of a large liquidity shock, measured by a very aggressive market order. I show that, despite the absence of market makers, the market is resilient. All dimensions of liquidity (spread, depth at the best prices and order book imbalances) revert to their steady-state values within 15 orders after the shock. For prices, a long run effect is found. Furthermore, different dimensions of liquidity interact. Immediately after a liquidity shock, the spread becomes wider than in the steady state, implying that one dimension of liquidity deteriorates, while at the same time, depth at the best prices increases, meaning an improvement of another liquidity dimension. In subsequent periods, the spread reverts back to the steady-state level but also depth decreases. Also, I find evidence for asymmetries in the impact of shocks on the ask and bid side. Shocks on the ask side have a stronger impact than shocks on the bid side. Finally, resiliency is higher for less-frequently traded stocks and stocks with a larger relative tick size.     

货币政策冲击对股票市场流动性的影响——基于Markov区制转换VAR模型的实证研究

本文首先对货币政策影响股市流动性的机理进行分析,在此基础上,尝试构建了一个新的股票市场流动性指标,通过引入MS-VAR模型,考察了货币政策在不同区制下对股市流动性的动态影响。基于MSIH(3)-VAR(4)模型和累积脉冲响应的结果表明,货币政策扩张有助于提高市场流动性,货币政策收紧,会导致市场流动性降低。但在不同区制下,影响程度存在显著差异,当股市处于膨胀期时,货币政策冲击对市场流动性的影响比股市处于低迷期时表现得更加明显。同时,股市收益率和股市波动率对股市流动性也存在显著影响。     

Patterns in cross market liquidity

Academic research on liquidity has generally focused on explaining what can be called within market liquidity. That is it seeks to explain things like why one stock is more liquid than another. But there has been considerably less attention to cross market liquidity: the issue of why some securities are more liquid than others. For example, stocks are apparently far more liquid than high yield bonds. Why? Why do some markets exist (orange juice for example) while others do not (potatoes for example)? This article lays out the current academic evidence regarding liquidity across assets and explains why current theories have trouble with one item or another. The challenge then is to produce an overarching theory that offers predictions that are closer to what the data seems to imply about cross market liquidity.     

Investigating risk contagion initiated by endogenous liquidity shocks: evidence from the US and eurozone interbank markets

This paper investigates liquidity spillovers between the US and European interbank markets during turbulent and tranquil periods. We show that an endogenous model with time-varying transition probabilities is effective in describing the propagation of liquidity shocks within the interbank market, while predicting liquidity crashes characterised by changed dynamics. We show that liquidity shocks, originating from movements of the spread between the Asset Backed Commercial Paper and T-bill, drive regime changes in the euro fixed-float OIS swap rate. Our results support the idea of endogenous contagion from the US money market to the eurozone money market during the global financial crisis.     

Stock Market Liquidity and the Business Cycle

In the recent financial crisis we saw liquidity in the stock market drying up as a precursor to the crisis in the real economy. We show that such effects are not new; in fact, we find a strong relation between stock market liquidity and the business cycle. We also show that investors' portfolio compositions change with the business cycle and that investor participation is related to market liquidity. This suggests that systematic liquidity variation is related to a “flight to quality” during economic downturns. Overall, our results provide a new explanation for the observed commonality in liquidity.     

Liquidity Dynamics Around Jumps: The Evidence from the Warsaw Stock Exchange

The aim of our study is to examine the dynamics of trading volume and the number of trades around jumps detected in intraday stock returns. We detect jumps in equally spaced 10-minute returns for most liquid stocks quoted on the Warsaw Stock Exchange within one-year sample period. We match jumps with macroeconomic and firm specific news. We find that only the minority of jumps is associated with public information releases, whereas the majority of them is motivated by liquidity shocks observed in the spreads, volume, and the number of trades. Our findings show that jumps are related to the inability of the market to absorb new and big orders. Liquidity shocks in volatility, volume, and quoted spread are the key drivers accompanying the occurrence of the jumps. Finally, the introduction of a faster and more efficient trading system improves the liquidity by increasing the depth of the market.     

Does short selling improve stock price efficiency and liquidity? Evidence from a natural experiment in China

China introduced short selling for designated stocks in March 2010. Using this important policy change as a natural experiment, we examine the effect of short selling on stock price efficiency and liquidity. We show that the introduction of short selling significantly improves price efficiency, as measured by the differences in individual stock responses to market returns and the delay in price adjustments. Short selling also enhances stock liquidity, as measured by bid-ask spread and Amihud [2002. ‘Illiquidity and Stock Returns: Cross-section and Time-series Effects.’ Journal of Financial Markets 5: 31–56] illiquidity measure; and reduces stock volatility. Overall, our results suggest that short selling helps to stabilize asset prices, provides additional liquidity and improves market quality, even in an emerging economy with a less developed stock market than that in the US and Europe.     

Oil price shocks and the US stock market: A nonlinear approach

We study the response of US stock market returns to oil price shocks and to what extent it behaves asymmetrically over the different phases of the business cycle. For this purpose, we decompose the oil price changes into supply and demand shocks in the oil market and assess the state-dependent dynamics of structural shocks on US stock returns using a smooth transition vector autoregression model. When nonlinearity is considered, quantitatively very different asymmetric dynamics are observed. Our findings show that the responses of US stock returns to disaggregated shocks are asymmetric over the business cycle and that the impact of demand-driven shocks on US stock returns is stronger and more persistent, especially when economic activity is depressed. Furthermore, the contribution of shocks to expectation-driven precautionary demand in recessions accounts for a larger share of the variability of US stock market returns than that predicted by standard linear vector autoregressions.     

On stock market illiquidity and real-time GDP growth

This study examines whether stock market illiquidity forecasts real UK GDP growth using data over the period 1989q1-2012q2. Apart from standard linear model specifications, we also utilize non-linear models, which allow for regime switching behavior in terms of a liquid versus an illiquid market regime and over the phases of the business cycle. Our findings support a statistically significant negative relationship between stock market illiquidity and future UK GDP growth over and above the usual control variables. This relationship is found to be stronger during periods of highly illiquid market conditions and weak economic growth. Our out-of-sample forecasting analysis indicates that a regime-switching model of illiquid versus liquid market conditions predicts UK growth better than any other model. Actually, this model is the only one to significantly outperform the GDP growth forecasts published in the Bank of England's Inflation Report.     

Liquidity in the cryptocurrency market and commonalities across anomalies

We examine how liquidity affects cryptocurrency market efficiency and study commonalities in anomaly performance in cryptocurrency markets. Based on the unique features of cryptocurrencies, we build a model with anonymous traders valuing cryptocurrencies as payments for goods and investment assets, and find that decreases in funding liquidity translate into lower asset liquidity in the cryptocurrency market. Empirically, we observe that many widely recognized stock market anomalies also exist in the cryptocurrency market, although some have opposite long and short legs. We also find evidence that a decrease in cryptocurrency liquidity enhances anomalous returns while preventing the cryptocurrency market from achieving efficiency.     

全球流动性冲击对中国经济影响的实证研究

本文首先阐述了外部流动性影响中国经济的传导路径和作用机制,然后建立全球流动性的量化指标并对其演变特征予以分析。基于结构向量自回归模型(SVAR)的实证研究结果显示,全球流动性扩张的外部冲击通过扩大出口和增加外商直接投资两种渠道直接拉动中国经济增长,经由国际大宗商品渠道所引发的输入型通胀压力也不容忽视。中央银行的对冲操作部分隔离了全球流动性向国内货币投放的传导,确保对宏观经济的掌控能力。     

中国股市融资规模与流动性对高技术产业技术进步的影响

利用中国股票市场和高技术产业1997～2009年的面板数据,分别建立股票市场的融资规模和流动性对高技术产业的R&D内部资金支出、新产品产值以及经DEA分析得到全要素生产率影响的回归模型,考察股票市场融资规模和流动性对高技术产业技术进步的影响,结果显示股票市场融资规模的扩大将有助于高技术产业技术进步;而股票市场流动性对处于不同产业发展阶段的高技术产业影响效应不同,当高技术产业处于创业阶段,股票市场流动性对其技术进步作用不显著,而高技术产业处于二次创业产业化阶段,股票市场流动性对其技术进步具有明显的推动作用。     

Limit Order Book and Commonality in Liquidity

We show that the liquidity provided by an individual stock's limit order book comoves significantly with the market aggregate limit order book liquidity. A closer look at the inside and outside liquidity provided by different parts of limit order book suggests that inside liquidity is mainly influenced by market volatility, while idiosyncratic volatility has a larger impact on outside liquidity. Hence, limit order book inside liquidity exhibits higher commonality than outside liquidity. We also show that the comovement between the stock‐level and market‐aggregate limit order book liquidity measures is related to the commonality in the overall stock market liquidity.     

The Effect of Market Transparency: Volatility and Liquidity in the Korean Stock Market

Faced with unprecedented competition, stock markets should have fairness and transparency. The effects of market transparency for the stock market volatility and liquidity will be investigated using the case of the Korean stock market. The evidence from this study indicates that increasing the market transparency makes the price discovery process more efficient than before from the viewpoint of stock market volatility, and increases the stock market liquidity compared with before.     

Political institutions,stock market liquidity and firm dividend policy: Some international evidence

In this cross-country study, we draw on the dividend liquidity hypothesis and the political economy literature to examine whether political institutions affect the relationship between stock market liquidity and a firm’s dividend policy. In countries with weak political institutions, we expect that investors are less able to demand higher dividends for stocks with low liquidity. Using a sample of 52 countries, we show that the negative association between stock market liquidity and dividends is more pronounced in countries with sound political institutions, consistent with the “outcome” model of dividends. These results are stronger in countries with better legal institutions and weaker for firms with financial constraints.     

The systematic pricing of market sentiment shock

ABSTRACT

We show that market sentiment shocks create demand shocks for risky assets and a systematic risk for assets. We measure a market sentiment shock as the unexpected portion of the University of Michigan Consumer Sentiment Index’s growth. This shock prices stock returns in arbitrage pricing theory framework at 1% after controlling for market, size, value, momentum, and liquidity risk factors. Its premium lowered the implied risk aversion by 97.9% to 11.46 between 1978 and 2009 in our sentiment consumption-based capital-asset-pricing model. Merton’s [1973. “An Intertemporal Capital Asset Pricing Model.” Econometrica 41: 867–887]. intertemporal capital-asset-pricing model reconfirms our finding that this market sentiment shock is a systematic risk factor that provides investment opportunities.     

How is illiquidity priced in the Chinese stock market?

This study investigates the liquidity premium in the Chinese stock market. We found that the expected stock returns increase monotonically with the quintile sort on characteristic liquidity with descending patterns. The characteristic liquidity premium ranges from 0.82% to 1.28% per month, which is much higher than that of their US counterparts. Moreover, our multivariate decomposition approach highlights that characteristic illiquidity premiums can be explained mainly by size, idiosyncratic volatility and momentum. The net systematic liquidity premium reaches 0.84% per month, driven mainly by commonality beta. The finding shows that a liquidity-based strategy forecasts cross-section and time-series expected returns.