Narrow Results

Maintaining an optimal level of liquidity remains a crucial agenda for firms to minimise liquidity risks. Therefore, the study aims to identify the drivers of liquidity by utilizing firm-level data of 1,544 microfinance institutions (MFIs), covering a total of 112 developing countries and a period of 2010–2018. The data were then analysed using conventional econometric tools and techniques. Among others, the study found that board size, portfolio quality, donations and size of MFIs have a positive effect on the liquidity of MFIs, while gender diversity at the board level, operational self-sustainability, staff productivity, legal status and gross domestic product (GDP) growth revealed a negative effect. After conducting several robustness checks, including alternative proxies, sub-samples and endogeneity-corrected techniques, our findings remain mostly consistent. Policy implications are further discussed.

This paper investigates the relationship between volatility and liquidity on the German electricity futures market based on high-frequency intraday prices. We estimate volatility by the time-weighted realized variance acknowledging that empirical intraday prices are not equally spaced in time. Empirical evidence suggests that volatility of electricity futures decreases as time approaches maturity, while coincidently liquidity increases. Established continuous-time stochastic models for electricity futures prices involve a growing volatility function in time and are thus not able to capture our empirical findings a priori. In Monte Carlo simulations, we demonstrate that incorporating increasing liquidity into the established models is key to model the decreasing volatility evolution.

We show that pass-through funding of mortgages with covered bonds supported by strong creditor rights is one way of providing highly liquid mortgage bonds. Despite a 30% drop in house prices during the 2008 crisis, these mortgage bonds remained as liquid as comparable government bonds with high trading volume and low bid-ask spreads. Market liquidity of these covered bonds is primarily driven by the availability of funding liquidity. Funding liquidity is the main concern because the pass-through funding approach effectively eliminates other types of risks from the investor’s perspective. Banking regulators should take into account the implications of these findings, particularly when it comes to the interplay between liquidity and capital requirements.

In view of explosive trends and excessive trades in the cryptocurrency markets, this paper contributes to the existing literature by bringing in the limelight the effect of liquidity on the herding behavior in the cryptocurrency market. Results from a first applied herding model including contemporaneous and lagged squared market returns demonstrated that market-wide herding exists within falling markets. The incorporation of liquidity highlights further evidences on herding behavior across cryptocurrencies during high and low liquid days, which varies across percentiles. Our findings bring handy implications for topics of portfolio and risk management, as well as regulation.

Using the 2016 SEC Tick Size Pilot Program, we study the effects of an increase in tick size on institutional trading, market making costs, profitability, and activities. We find that increasing the tick size deters institutional trading participation, as it results in unfavorable stock characteristics, such as greater price impact and depressed share prices. In particular, we show that the implementation of the pilot program creates a substitution effect, which causes mutual funds to migrate from pilot (wider-tick) stocks to control (narrower-tick) peers. Furthermore, we document that widening the tick size increases adverse selection and inventory costs and thus reduces market making profitability, leading to lower market-making activities. Further analysis shows that these adverse effects can be attributed to the trade-at rule that prevents price-matching in non-displaying trading centers, while the quote rule that mandates a minimum quote increment of five cents enriches market makers and promotes liquidity provision. Finally, we show that our results are more pronounced for tick-constrained stocks than for unconstrained ones. Overall, the evidence contradicts the SEC’s intent to use a larger tick size to incentivize market making in small-cap stocks and attract more investors to trade these stocks, and dispraises the “one-size-fits-all” approach undertaken by regulators.

This study examines whether, and to what extent, SFAS166/167 changed the role of securitization in bank liquidity and lending activities. We compare the sensitivity of on-balance sheet loan growth to the loan portfolio liquidity index proposed by Loutskina [(2011) The role of securitization in bank liquidity and funding management, Journal of Financial Economics 100, 663–684] between affected banks and control banks. We find that SFAS166/167 is significantly associated with a reduction in the use of securitization to enhance on-balance sheet liquidity, consistent with the view that consolidation on balance sheets may render the securitization of loans too costly to be considered an effective source of liquidity. In addition, we find that affected banks with the highest increase in liabilities from consolidating Qualified Special Purpose Entities (QSPEs) experienced a significant decrease in lending activities relative to the control banks. This is likely because consolidating former QSPEs may adversely affect the ability and willingness of banks to engage in securitization and issue new loans. Taken together, our results suggest that SFAS166/167, requiring the consolidation of former QSPEs, led to a decline in the role of securitization as a liquidity management tool in banks and to a significant decline in lending.

Issuing activity does not result in superior post-issue liquidity. New issues are just as liquid as their peer non-issuers. Even the kinds of new issues that are supposed to be more liquid than others (initial public offerings (IPOs) backed by venture capital, new issues with high-prestige underwriters, severely underpriced IPOs) have the same liquidity as other similar issuers. The paper thus refutes the existing liquidity-based explanations of the new issues puzzle. The paper also shows that the low-minus-high turnover factor seems to explain the new issues puzzle and related anomalies only because it picks up volatility risk.

We propose an agent-based computational model for a financial system consisting of a network of banks with interconnected balance sheets comprising fixed assets (e.g. loans to agents outside the network), liquid assets (e.g. cash or central bank reserves), general collateral (e.g. government debt), unsecured interbank loans and reverse-repos to other banks as assets, as well as deposits, unsecured interbank loans and repos from other banks as liabilities. Importantly, we allow banks to use reverse-repo assets as collateral for obtaining repo loans from other banks, that is to say, rehypothecation. Banks need to satisfy liquidity, collateral, and solvency constraints. If the first two constraints are violated because of internal or external shocks, solvent banks attempt to restore them by rebalancing their assets, which might lead to the propagation of the shock because of fire-sale effects (if fixed assets are sold) or liquidity hoarding (if secured or unsecured loans are recalled). Insolvent banks, as well as banks that failed to restore the liquidity and collateral constraints after rebalancing, are removed from the network using a resolution algorithm that includes a netting step (i.e. removal of closed cycles of liabilities) and a novation step (i.e. redistribution of repo assets and liabilities to remaining banks). We show analytically that this proposed resolution algorithm has several desirable properties, most importantly the order-independence of the novation step, and we investigate the stability properties of the network through a series of numerical experiments.

At the macro-level, whether US dollar (USD) spillover could sustain the prosperity and stability of international economic and financial systems should become a key basis for judging the rationality of the current USD standard international monetary system. As the main contributor to USD liquidity externalities, US Treasury securities have long been favored by major economies worldwide due to their perceived safety and reliability, and their yield should be a key indicator for measuring the effect of USD liquidity spillover and the rationality of the international monetary system. However, the discussion in previous studies concerning the efficiency of holding US Treasury securities on the microeconomic level is insufficient. This study considers the negative externality of asset allocation behavior when analyzing its rationality at the macro-level. According to the empirical results, we find a clear negative relationship between the efficiency and the risk of USD assets and the holding scale of USD foreign exchange reserves. This finding indicates the dilemma faced by major economies in managing international liquidity without a sound replacement for USD assets. We argue that the current USD standard monetary system needs to be reformed and diversified to optimize the benefit of liquidity holdings globally. An internationalized RMB could play a more important role on the global and regional stages in strengthening and reforming the current monetary ecosystem.

In view of the interaction between demand and supply shocks and the nature of the disparity in business cycles between Advanced Economies (AEs) and Emerging Market Economies (EMEs), we reinvigorate policy “silver bullets” that ascertain a sustainable growth revival in the aftermath of the COVID-19 shock. Using a novel business cycle dating algorithm, we identify up-cycle and down-cycle phases in India’s gross domestic product growth rate and use dynamic factor analysis using several high-frequency indicators for tracking private investment activity in India. On the demand side, our empirical results indicate that a boost to private investment can arrest a growth deceleration during a down-cycle, via consumption and output channels. We also observe that both the quantum and quality of public expenditure play an important role in arresting the growth deceleration. On the supply side, however, global supply chain disruptions could dampen the pace of investment during the post-COVID investment-led recovery. For both channels to work, credit offtake is necessary for a bank-dominated EME like India. Finally, despite low-capacity utilization rates, we draw several policy conclusions to jump-start economic activity levels.

This paper studies the determinants of trading volume and liquidity of corporate bonds. Using transactions data from a comprehensive dataset of insurance company trades, our analysis covers more than 17,000 US corporate bonds of 4,151 companies over a five-year period prior to the introduction of TRACE. Our transactions data show that a variety of issue- and issuer-specific characteristics impact corporate bond liquidity. Among these, the most economically important determinants of bond trading volume are the bond’s issue size and age — trading volume declines substantially as bonds become seasoned and are absorbed into less active portfolios. Stock-level activity also impacts bond trading volume. Bonds of companies with publicly traded equity are more likely to trade than those with private equity. Further, public companies with more active stocks have more actively traded bonds. Finally, we show that while the liquidity of high-yield bonds is more affected by credit risk, interest-rate risk is more important in determining the liquidity of investment-grade bonds.

The consequences of the Subprime Crisis have shown a serious deficiency in the financing structures of conventional and Islamic banks resulting from frequent resilience. Specifically, the paper argues that large banks that relied primarily on wholesale external funding, such as resources from other banks, money market funds and treasuries of multi-national companies, have been hit hard by the effects of the Crisis. Conversely, banks that relied mainly on deposits from companies or individuals have weathered the Crisis very well because of the interdependent relationships in the banking and foreign exchange markets. Although the two types have suffered the effects of the Crisis, previous comparative studies between the liquidities of conventional and Islamic banks have produced inconclusive results. This brings us to compare their liquidities during a financial stable period (2010–2018) and to provide a more accurate answer using a new original methodology. Based on two populations encompassing all the classical and Islamic banks in the concerned countries, we chose two samples. After a conditional selection of the observations and a filtering process, the sizes were reduced to the value of 63 banks in each sample. Therefore, we have found that Islamic banks are more liquid than their conventional counterparts.

This paper explores the role of liquidity risk in the pricing of corporate bonds. We show that corporate bond returns have significant exposures to fluctuations in treasury bond liquidity and equity market liquidity. Further, this liquidity risk is a priced factor for the expected returns on corporate bonds, and the associated liquidity risk premia help to explain the credit spread puzzle. In terms of expected returns, the total estimated liquidity risk premium is around 0.6% per annum for US long-maturity investment grade bonds. For speculative grade bonds, which have higher exposures to the liquidity factors, the liquidity risk premium is around 1.5% per annum. We find very similar evidence for the liquidity risk exposure of corporate bonds for a sample of European corporate bond prices.

A growing volume of studies indicate that the information asymmetry problem is a serious issue which significantly hinders stock market development. This problem is more pronounced in emerging markets with weak institutions. The domination of large shareholders in a firm might be a cause of information asymmetry because they are commonly believed to have access to private and value-relevant information. The current paper offers insight into the relationship between multiple large shareholder ownership and stock market information asymmetry in the context of Vietnam, an important emerging market. Employing fixed effects and GMM estimators for a panel data sample of firms listed on the Ho Chi Minh City stock exchange covering the period 2007–2015, the results suggest that the concentration of large shareholder ownership is positively and significantly associated with information asymmetry. This finding has strong implications for policy making process in promoting stock market development.

This paper investigates the link between stock market liquidity and firm value in an important emerging market, Vietnam. Specially, we examine this relationship using a sample of firms listed on the Ho Chi Minh City stock exchange for the period 2006–2014. We show that there is a negative relation between liquidity and firm value. This outcome is contrary to previous results for many developed countries. Further, we demonstrate that this result may be explained by differences in leverage effects and pricing-based theories, where stock liquidity influences firm performance via an illiquidity premium or mispricing.

I propose a friction measure of bond round-trip liquidity costs that is robust to outliers and accounts for the idiosyncratic information behind trading decisions. Particularly effective with investment-grade bonds, the proposed measure displays properties consistent with the credit risk puzzle. Using transactions from January 2004 to December 2011, I find that liquidity costs display a strong correlation with credit conditions and peaked during the sub-prime crisis. After controlling for equity volatility with high-frequency measures, liquidity costs explain a substantial fraction of the variation in the yield spreads of highly rated bonds, but become less important for speculative-grade bonds.

Hendershott et al. (2011, Does Algorithmic Trading Improve Liquidity? Journal of Finance 66, 1–33) show that algorithmic traders improve liquidity in equity markets. An equally important and unanswered question is whether they improve liquidity when information asymmetry is high. We use days surrounding earnings announcement as a period of high information asymmetry. First, we follow Hendershott et al. (2011, Does Algorithmic Trading Improve Liquidity? Journal of Finance 66, 1–33) to use introduction of NYSE autoquote as a natural experiment. We find that increased algorithmic trading (AT) as a result of NYSE autoquote does not improve liquidity around earnings announcements. Next, we use trade-to-order volume % and cancel rate as a proxy for algorithmic trading and find that abnormal spreads surrounding the days of earnings announcement are significantly higher for stocks with higher AT. Our findings indicate that algorithmic traders reduces their role of liquidity provision in markets when information asymmetry is high. These findings shed further light on the role of liquidity provision by algorithmic traders in the financial markets.

We estimate the non-default component of corporate bond yield spreads and examine its relationship with bond liquidity. We measure bond liquidity using intraday transactions data and estimate the default component using the term structure of credit default swaps (CDS) spreads. With swap rate as the risk free rate, the estimated non-default component is generally moderate but statistically significant for AA-, A-, and BBB-rated bonds and increasing in this order. With Treasury rate as the risk free rate, the estimated non-default component is the largest in basis points for BBB-rated bonds but, as a fraction of yield spreads, it is the largest for AAA-rated bonds. Controlling for the unobservable firm heterogeneity, we find a positive and significant relationship between the non-default component and illiquidity for investment-grade bonds but no significant relationship for speculative-grade bonds. We also find that the non-default component comoves with indicators for macroeconomic conditions.

In this paper, we consider the problem of calculating risk-neutral implied volatilities of European options without relying on option mid prices but solely on bid and ask prices. We provide an approach, based on the conic finance paradigm, that allows to uniquely strip risk-neutral implied volatilities from bid and ask quotes, and that does not require restrictive assumptions. Our methodology also allows to jointly calculate the implied liquidity of the market. The idea outlined in this paper can be applied to calculate other implied parameters from bid and ask security prices as soon as their theoretical risk-neutral counterparts are strictly increasing with respect to the former.

I examine whether a short-term reversal is attributed to past intraday or overnight price movements. The results show that intraday returns significantly reverse in the following week, while overnight returns do not, indicating that the short-term reversal is attributed to past intraday price movements. In addition, the reversal of intraday returns is stronger for more illiquid stocks and during more volatile market conditions, while the reversal is unaffected by fundamental news. This result supports the view that short-term reversals are attributable mainly to price concessions for liquidity providers to absorb intraday uninformed transactions, rather than intraday price reactions to fundamental information.