Liquidity risk of corporate bond returns: conditional approach

We study the exposure of the US corporate bond returns to liquidity shocks of stocks and Treasury bonds over the period 1973–2007 in a regime-switching model. In one regime, liquidity shocks have mostly insignificant effects on bond prices, whereas in another regime, a rise in illiquidity produces significant but conflicting effects: Prices of investment-grade bonds rise while prices of speculative-grade (junk) bonds fall substantially (relative to the market). Relating the probability of these regimes to macroeconomic conditions we find that the second regime can be predicted by economic conditions that are characterized as “stress.” These effects, which are robust to controlling for other systematic risks (term and default), suggest the existence of time-varying liquidity risk of corporate bond returns conditional on episodes of flight to liquidity. Our model can predict the out-of-sample bond returns for the stress years 2008–2009. We find a similar pattern for stocks classified by high or low book-to-market ratio, where again, liquidity shocks play a special role in periods characterized by adverse economic conditions.     

Money and asset prices with uninsurable risks

We present a theory of differences of liquidity across assets, based on an endogenous ranking of assets as media of exchange arising from their relative quality as hedging devices. When assets have two distinct roles, as intertemporal media of exchange and hedging devices, buyers have generically a strict preference for paying sellers with the asset which is the relative better hedging device for sellers. The consequence of this preference is that there are three monetary policy regimes, and these regimes differ in which assets serve as media of exchange, whether assets carry a liquidity premium, and in the impact that monetary policy has on asset prices.     

Commodity prices and BRIC and G3 liquidity: A SFAVEC approach

This paper investigates the influence of liquidity in the major developed and major developing economies on commodity prices. Liquidity is taken to be M2. A novel finding is that unanticipated increases in the BRIC countries’ liquidity is associated with significant and persistent increases in commodity prices that are much larger than the effect of unanticipated increases in G3 liquidity, and the difference increases over time. Over 1999–2012 BRIC liquidity is strongly linked with global energy prices and global real activity whereas G3 liquidity is not. The impact of BRIC liquidity on mineral and metal prices is twice as large as that of G3 liquidity. Granger casualty goes from liquidity to commodity prices. BRIC and G3 liquidity and commodity prices are cointegrated. BRIC and G3 liquidity and global output and global prices are cointegrated. We construct a structural factor-augmented error correction (SFAVEC) model.     

Short‐Selling Bans Around the World: Evidence from the 2007–09 Crisis

Most regulators around the world reacted to the 2007–09 crisis by imposing bans on short selling. These were imposed and lifted at different dates in different countries, often targeted different sets of stocks, and featured varying degrees of stringency. We exploit this variation in short‐sales regimes to identify their effects on liquidity, price discovery, and stock prices. Using panel and matching techniques, we find that bans (i) were detrimental for liquidity, especially for stocks with small capitalization and no listed options; (ii) slowed price discovery, especially in bear markets, and (iii) failed to support prices, except possibly for U.S. financial stocks.     

Liquidity and market efficiency

Short-horizon return predictability from order flows is an inverse indicator of market efficiency. We find that such predictability is diminished when bid-ask spreads are narrower, and has declined over time with the minimum tick size. Variance ratio tests suggest that prices were closer to random walk benchmarks in the more liquid decimal regime than in other ones. These findings indicate that liquidity stimulates arbitrage activity, which, in turn, enhances market efficiency. Further, as the tick size decreased, open-close/close-open return variance ratios increased, while return autocorrelations decreased. This suggests an increased incorporation of private information into prices during more liquid regimes.     

Safe but fragile: Information acquisition,liquidity support and redemption runs

This paper proposes a theory of redemption runs based on strategic information acquisition by fund managers. We argue that liquidity lines provided by third parties can be a source of financial fragility, as they incentivize fund managers to acquire private information about the value of their assets. This strategic information acquisition can lead to inefficient market liquidity dry-ups caused by self-fulfilling fears of adverse selection. By lowering asset prices, information acquisition also reduces the value of funds’ assets-under-management and may spur inefficient redemption runs by investors. Two different regimes can arise: one in which funds’ information acquisition incentives are unaffected by the volume of redemptions, and another where market and funding liquidity risk mutually reinforce each other.     

Does global liquidity drive commodity prices?

This paper tackles the question of whether a cross-sectional perspective on monetary policy is capable of explaining movements in global commodity prices. In this vein, we contribute to the rich literature on global liquidity in two different ways: on the one hand, to achieve a global series in terms of common monetary policy shocks, we propose a distinction between common and idiosyncratic factors across economies, as proposed by Bai and Ng (2004). Our second innovation stems from the consideration of a Markov-switching vector error correction model when analyzing time-varying short-run dynamics. Having identified the long-run structure which includes a proportional relationship between commodity prices and global liquidity in the first step, our results indeed show that the impact of a global liquidity measure on different commodity prices is significant and varies over time. One regime approximately accounts for times where commodity prices significantly adjust to disequilibria, while the second regime is characterized by either a weak or no commodity price adjustment. The fact that global liquidity also reacts to disequilibria in a specific regime demonstrates the two-way causality between monetary policy and commodity prices.     

THE DEALERS' PRICE/SIZE QUOTE AND MARKET LIQUIDITY

We model trading in a competitive securities market where informed traders and liquidity traders transact with dealers. The dealers' entire published quote is modeled: bid-ask prices and the number of shares the dealer is willing to buy/sell at these prices (i.e., size quotes). We argue that size quotes are a more informative indicator of market liquidity than the bid-ask spread's adverse-selection component. Moreover, the size quotes reveal several market characteristics that cannot be inferred from the bid-ask spread's adverse-selection component alone. The model generates a number of empirically testable predictions that clarify certain key elements of market liquidity.     

Money supply,interest rate,liquidity and share prices: A test of their linkage

The money supply impacts on interest rate and liquidity were first proposed in 1961 by Friedman, the late Nobel laureate. The liquidity effect has yet received unanimous empirical support. Also, research interest on liquidity subsided in the 2000s. Using quarterly data over 1960–2011 and simultaneous solution to a system of equations, this paper reports positive liquidity effect from money supply. By extending the system of equations with a liquidity equation and after controlling the effect of earnings, evidence is found of a significant positive effect from liquidity on share prices. Money supply is found to be endogenous as in post Keynesian theory. These findings, obtained after solutions to several econometric deficiencies in prior studies, provide clear verification of the endogenous money supply theory, money effect on liquidity and on the extension of the model for a liquidity effect on asset prices.     

Price spreads and residential housing market liquidity

Most studies of housing market liquidity have measured liquidity in terms of time on the market (TOM), and have sought to explain TOM in terms of property characteristics and measures of market conditions. This paper departs from past studies of housing market liquidity by examining the spread between the listing and contract prices.We develop theory to explain the price spreads in the residential housing market. The model includes the list price of the home, the cost of the search, the standard deviation of offer prices, and TOM. Empirical tests using 3,597 sales for 25 months show a robust relationship of housing market spreads and these variables. Listing price and cost of search have the predicted positive coefficients, and the standard deviation of price offers is found to be negatively related to the price spread.     

Bank regulation,property prices and early warning systems for banking crises in OECD countries

Early warning systems (EWS) for banking crises generally omit bank capital, bank liquidity and property prices. Most work on EWS has been for global samples dominated by emerging market crises where time series data on bank capital adequacy and property prices are typically absent. We estimate logit crisis models for OECD countries, finding strong effects from capital adequacy and liquidity ratios as well as property prices, and can exclude traditional variables. Higher capital adequacy and liquidity ratios have a marked effect on the crisis probabilities, implying long-run benefits to offset some of the costs that such regulations may impose.     

The EONIA spread before and during the crisis of 2007–2009: The role of liquidity and credit risk

This paper provides an empirical assessment of the factors affecting the spread between the Euro Overnight Index Average (EONIA) and the main policy rate of the European Central Bank (ECB). Up until the period when Lehman Brothers collapsed in mid-September 2008, the spread was small and positive. After this point, the liquidity surplus that developed from the fixed rate full allotment tendering arrangement in refinancing operations drove the widening of EONIA spread (trading below the ECB policy rate), although other factors also played a significant role. This paper explains the drivers of spread across alternative non-crisis/crisis regimes. In addition, the paper examines how the EONIA spread reacts to shocks imposed on a range of liquidity and credit risk factors in alternative crisis/non-crisis regimes. The results have implications for factors that should be monitored closely across both regimes, and also the implications that this may have for steering an unsecured overnight rate in crisis times.     

The role of liquidity constraints in the response of monetary policy to house prices

We analyse the optimal response of monetary policy to house prices in a New Keynesian framework. A positive wealth effect from housing is derived from liquidity constrained consumers. Housing equity withdrawal allows them to convert an increase in housing value into consumption and we show that monetary policy should react to house prices due to their effect on consumption by constrained agents. Moreover, we allow the share of liquidity constrained consumers to vary with house prices. Consequently, the optimal weights on expected inflation, the output gap and house prices in the optimal interest rate rule vary over time too.     

The price of liquidity: The effects of market conditions and bank characteristics

We study the prices that individual banks pay for liquidity (captured by borrowing rates in repos with the central bank and benchmarked by the overnight index swap) as a function of market conditions and bank characteristics. These prices depend in particular on the distribution of liquidity across banks, which is calculated over time using individual bank-level data on reserve requirements and actual holdings. Banks pay more for liquidity when positions are more imbalanced across banks, consistent with the existence of short squeezing. We also show that small banks pay more for liquidity and are more vulnerable to squeezes. Healthier banks pay less but, contrary to what one might expect, banks in formal liquidity networks do not. State guarantees reduce the price of liquidity but do not protect against squeezes.     

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.     

Quantify the quantitative easing: Impact on bonds and corporate debt issuance

This paper studies the impact of the European Central Bank’s (ECB) Corporate Sector Purchase Programme (CSPP) announcement on prices, liquidity, and debt issuance in the European corporate bond market using a data set on bond transactions from Euroclear. I find that the quantitative easing (QE) programme increased prices and liquidity of bonds eligible to be purchased substantially. Bond yields dropped on average by 30 basis points (bps) (8%) after the CSPP announcement. Tri-party repo turnover rose by 8.15 million USD (29%), and bilateral turnover went up by 7.05 million USD (72%). Bid-ask spreads also showed significant liquidity improvement in eligible bonds. QE was successful in boosting corporate debt issuance. Firms issued 2.19 billion EUR (25%) more in QE-eligible debt after the CSPP announcement, compared to other types of debt. Surprisingly, corporates used the attracted funds mostly to increase dividends. These effects were more pronounced for longer-maturity, lower-rated bonds, and for more credit-constrained, lower-rated firms.     

Price dispersion in OTC markets: A new measure of liquidity

In this paper, we model price dispersion effects in over-the-counter (OTC) markets to show that, in the presence of inventory risk for dealers and search costs for investors, traded prices may deviate from the expected market valuation of an asset. We interpret this deviation as a liquidity effect and develop a new liquidity measure quantifying the price dispersion in the context of the US corporate bond market. This market offers a unique opportunity to study liquidity effects since, from October 2004 onwards, all OTC transactions in this market have to be reported to a common database known as the Trade Reporting and Compliance Engine (TRACE). Furthermore, market-wide average price quotes are available from Markit Group Limited, a financial information provider. Thus, it is possible, for the first time, to directly observe deviations between transaction prices and the expected market valuation of securities. We quantify and analyze our new liquidity measure for this market and find significant price dispersion effects that cannot be simply captured by bid-ask spreads. We show that our new measure is indeed related to liquidity by regressing it on commonly-used liquidity proxies and find a strong relation between our proposed liquidity measure and bond characteristics, as well as trading activity variables. Furthermore, we evaluate the reliability of end-of-day marks that traders use to value their positions. Our evidence suggests that the price deviations from expected market valuations are significantly larger and more volatile than previously assumed. Overall, the results presented here improve our understanding of the drivers of liquidity and are important for many applications in OTC markets, in general.     

Implied liquidity: Model sensitivity

The concept of implied liquidity originates from the conic finance theory and more precisely from the law of two prices where market participants buy from the market at the ask price and sell to the market at the lower bid price. The implied liquidity λ of any financial instrument is determined such that both model prices fit as well as possible the bid and ask market quotes. It reflects the liquidity of the financial instrument: the lower the λ, the higher the liquidity. The aim of this paper is to study the evolution of the implied liquidity pre- and post-crisis under a wide range of models and to study implied liquidity time series which could give an insight for future stochastic liquidity modeling. In particular, we perform a maximum likelihood estimation of the CIR, Vasicek and CEV mean-reverting processes applied to liquidity and volatility time series. The results show that implied liquidity is far less persistent than implied volatility as the liquidity process reverts much faster to its long-run mean. Moreover, a comparison of the parameter estimates between the pre- and post-credit crisis periods indicates that liquidity tends to decrease and increase for long and short term options, respectively, during troubled periods.     

交易所大宗交易流动性折价研究——来自沪深交易所的经验证据

随着证券市场规模的扩大及机构投资者规模的壮大，机构投资者对市场流动性的需求日益剧增，大宗交易制度是满足投资者流动性需求的制度性创新。由于大宗交易的数量较大，其交易价格有别于正常交易规模的价格。本文利用沪深交易所的大宗交易数据实证探讨大宗交易价格及其影响因素。研究结果表明，大部分大宗交易价格低于当日收盘价格，呈现流动性折价现象，折价率达到1．27％：研究还发现，折价水平还受交易数量、正常交易时间段股票流动性水平、市场流动性水平及股价波幅等因素影响。     

Liquidity Commonality in the London Stock Exchange

Abstract:  A number of events such as the international market crash of October 1987 and the 1997 East Asian crisis show that individual firm liquidity is affected by market-wide factors. However, research in systematic liquidity is still at an embryonic stage and given the gap in the literature, the paper offers first time evidence (to the best of our knowledge) on the presence of systematic liquidity in the UK using FTSE100 and FTSE250 stocks. The unique setting of the London Stock Exchange as regards changes in trading regimes, allows an original answer as to whether changes in the nature of market making from obligatory to non-obligatory, affect commonality in liquidity. Results indicate that commonality is quite strong for FTSE100 stocks at individual and portfolio level, while for the FTSE250 it is strong only at portfolio level. Overall commonality is on average similar across trading regimes, irrespective of the nature of the provision of liquidity.