LIQUIDITY AND ASSET PRICING UNDER THE THREE‐MOMENT CAPM PARADIGM

We examine whether the use of the three‐moment capital asset pricing model can account for liquidity risk. We also make a comparative analysis of a four‐factor model based on Fama–French and Pástor–Stambaugh factors versus a model based solely on stock characteristics. Our findings suggest that neither of the models captures the liquidity premium nor do stock characteristics serve as proxies for liquidity. We also find that sensitivities of stock return to fluctuations in market liquidity do not subsume the effect of characteristic liquidity. Furthermore, our empirical findings are robust to differences in market microstructure or trading protocols between NYSE/AMEX and NASDAQ.     

A Comparison of the Efficacy of Liquidity,Momentum, Size and Book‐to‐Market Value Factors in Equity Pricing on a Heterogeneous Sample: Evidence from Asia

This paper compares the size and book‐to‐market value factors of Fama and French (1993) alongside Momentum of Jagadeesh and Titman ( 1993 ) with two Liu ( 2006 ) liquidity factors formed from 1 year rebalancing and 1 month rebalancing respectively. A heterogeneous and comprehensive sample of the top blue chip stocks of all national Asian equity markets with further differentiation undertaken between sub samples formed for Japan only and Asia excluding Japan for period January 2000 to August 2014. Our empirical results suggest that multifactor time invariant pricing models based on augmented capital asset pricing model (CAPM) framework are ineffective in explaining the cross section of stock returns in the presence of significant inter and intra‐market segmentation. However an alternative model specification based on a time varying parameter specification and using same sets of factors yields significant enhancements in explaining cross section of stock returns across universe. We find that momentum factor largely lacks significance while a time varying two factor model, based on CAPM plus liquidity factor, is optimal. The liquidity factor being that of Liu (2006) and annually rebalanced. Our findings are important for investment managers seeking appropriate factors and modelling techniques to hedge against risks as well as firm's financial managers seeking to reduce costs of equity capital.     

Stock dividends in China: signalling or liquidity explanations?

We test alternative hypotheses on a sample of Chinese stock dividends. The inverse Mills ratio, a signal about future performance, is positively related to announcement returns but does not predict higher future performance. Analysts do not revise their earnings forecasts after the announcement date. Our results are more consistent with liquidity‐based theories. We find that managers choose higher stock dividend ratios if share prices deviate more from the industry‐wide average. Increases in proportional spreads, depth, and the number of trades and decreases in average trade size, and price impact suggest greater participation of liquidity and small investors following stock dividends.     

Liquidity and asset pricing: Evidence from the Hong Kong stock market

This study investigates the role of liquidity in pricing stock returns in the Hong Kong stock market. Our results show that liquidity is an important factor for pricing returns in Hong Kong after taking well-documented asset pricing factors into consideration. The results are robust to adding portfolio residuals and higher moment factor in the factor models. The results are also robust to seasonality, and conditional-market tests. We also compare alternative factor models and find that the liquidity four-factor model (market excess return, size, book-to-market ratio, and liquidity) is the best model to explain stock returns in the Hong Kong stock market, while the momentum factor is not found to be priced.     

Market Liquidity and Ambiguity: The Certification Role of Corporate Governance

We investigate how firm‐specific certification practices through corporate governance can reduce perceived ambiguity and thus enhance liquidity of a firm in the stock market. We show that better corporate governance helps reduce ambiguity. In addition, a reduction in ambiguity is significantly related to higher liquidity of firms. Our results are robust to alternative model specifications and measures of ambiguity, and remain statistically significant after controlling for other known determinants of ambiguity and liquidity. Our results shed light on how ambiguity can be moderated through firm‐level certification practices and on the channel through which a moderation of ambiguity affects shareholder wealth.     

The effect of issuance documentation disclosure and readability on liquidity: Evidence from green bonds

This paper investigates the potential effects of the disclosure and the readability of a green bond’s issuance documentation on its liquidity. Using a sample of 274 green bonds issued by both corporate and financial issuers (102 unique firms) worldwide (23 countries) from 2011 to 2018, we show that both the disclosure of green bond frameworks and annual reports and their readability increase the bond’s liquidity. Our results are robust to checks for endogeneity and to alternative estimation techniques. Both disclosure and readability have a more important impact on liquidity for bonds issued by nonfinancial (vs. financial) issuers, bonds with longer maturities, and those with lower credit ratings.     

Investor Conferences,Firm Visibility,and Stock Liquidity

We examine the influence of investor conferences on firms’ stock liquidity. We find that firms participating in conferences experience a 1.4% to 2.8% increase in stock liquidity compared to nonconference firms. Consistent with investor conferences improving firm visibility, the increase in liquidity is larger for firms with low pre‐conference visibility and varies predictably with conference characteristics that affect the ability of investors to revise their beliefs about the firm. However, for firms with a large investor base and high visibility, conference participation is associated with a decline in stock liquidity, consistent with investor conferences exacerbating the information asymmetry among investors.     

Stock market liquidity and firm value

This paper investigates the relation between stock liquidity and firm performance. The study shows that firms with liquid stocks have better performance as measured by the firm market-to-book ratio. This result is robust to the inclusion of industry or firm fixed effects, a control for idiosyncratic risk, a control for endogenous liquidity using two-stage least squares, and the use of alternative measures of liquidity. To identify the causal effect of liquidity on firm performance, we study an exogenous shock to liquidity—the decimalization of stock trading—and show that the increase in liquidity around decimalization improves firm performance. The causes of liquidity's beneficial effect are investigated: Liquidity increases the information content of market prices and of performance-sensitive managerial compensation. Finally, momentum trading, analyst coverage, investor overreaction, and the effect of liquidity on discount rates or expected returns do not appear to drive the results.     

Systematic liquidity risk and stock price reaction to shocks

This study examines the relationship between systematic liquidity risk and stock price reaction to large 1‐day price changes (or shocks). We base our analysis on a yearly updated constituents list of the FTSE All share index. Our overall results are consistent with the price continuation hypothesis, which suggests that positive (negative) shocks will be followed by positive (negative) abnormal returns. However, further analysis indicates that stocks with low systematic liquidity risk react efficiently to both positive and negative shocks, whereas stocks with high systematic liquidity risk underreact to both positive and negative shocks. Our results are valid irrespective of various robustness tests such as size of the shock, size of the firm, month‐of‐the‐year and day‐of‐the‐week effects. We conclude that trading on price patterns following shocks may not be profitable, as it involves taking substantial liquidity exposure.     

Inside the “Black Box” of Sell‐Side Financial Analysts

Our objective is to penetrate the “black box” of sell‐side financial analysts by providing new insights into the inputs analysts use and the incentives they face. We survey 365 analysts and conduct 18 follow‐up interviews covering a wide range of topics, including the inputs to analysts’ earnings forecasts and stock recommendations, the value of their industry knowledge, the determinants of their compensation, the career benefits of Institutional Investor All‐Star status, and the factors they consider indicative of high‐quality earnings. One important finding is that private communication with management is a more useful input to analysts’ earnings forecasts and stock recommendations than their own primary research, recent earnings performance, and recent 10‐K and 10‐Q reports. Another notable finding is that issuing earnings forecasts and stock recommendations that are well below the consensus often leads to an increase in analysts’ credibility with their investing clients. We conduct cross‐sectional analyses that highlight the impact of analyst and brokerage characteristics on analysts’ inputs and incentives. Our findings are relevant to investors, managers, analysts, and academic researchers.     

On the Stability of the Cross‐Section of Expected Stock Returns in the Cross‐Section: Understanding the Curious Role of Share Turnover

In this paper, we shed further light on cross‐sectional predictors of stock return performance. Specifically, we explore whether the cross‐section of expected stock returns is robust within stock groups sorted by past monthly return. We find that the book/market and momentum effects are remarkably robust to sorting on past returns. However, share turnover is negatively related to future returns for stocks with abnormally low stock price performance in the recent past, but postively related to returns for well‐performing stocks. This casts doubt on the use of turnover as a liquidity proxy, but is consistent with turnover being a proxy for momentum trading which pushes prices in the direction of past price movements. Our results are robust to both NYSE/AMEX and Nasdaq stocks, and also robust to stratifying the sample by time period.     

Can hedge funds time market liquidity?

We explore a new dimension of fund managers' timing ability by examining whether they can time market liquidity through adjusting their portfolios' market exposure as aggregate liquidity conditions change. Using a large sample of hedge funds, we find strong evidence of liquidity timing. A bootstrap analysis suggests that top-ranked liquidity timers cannot be attributed to pure luck. In out-of-sample tests, top liquidity timers outperform bottom timers by 4.0–5.5% annually on a risk-adjusted basis. We also find that it is important to distinguish liquidity timing from liquidity reaction, which primarily relies on public information. Our results are robust to alternative explanations, hedge fund data biases, and the use of alternative timing models, risk factors, and liquidity measures. The findings highlight the importance of understanding and incorporating market liquidity conditions in investment decision making.     

Do liquidity measures measure liquidity?

Given the key role of liquidity in finance research, identifying high quality proxies based on daily (as opposed to intraday) data would permit liquidity to be studied over relatively long timeframes and across many countries. Using new measures and widely employed measures in the literature, we run horseraces of annual and monthly estimates of each measure against liquidity benchmarks. Our benchmarks are effective spread, realized spread, and price impact based on both Trade and Quote (TAQ) and Rule 605 data. We find that the new effective/realized spread measures win the majority of horseraces, while the Amihud [2002. Illiquidity and stock returns: cross-section and time-series effects. Journal of Financial Markets 5, 31–56] measure does well measuring price impact.     

THE IMPORTANCE OF LIQUIDITY AS A FACTOR IN ASSET PRICING

We employ the Fama‐French time‐series regression approach to examine liquidity as a risk factor affecting stock returns. Prior studies establish liquidity as an important consideration in investment decisions. Here, liquidity is found to be an important factor affecting portfolio returns, even after the effects of market, size, book‐to‐market equity, and momentum are considered. Nonzero intercepts remain, however, indicating continued missing risk factors.     

The Effect Of Stock Splits On Liquidity And Excess Returns: Evidence From Shareholder Ownership Composition

We examine the influence of firm ownership composition on both the abnormal returns at the announcement of a stock split and liquidity changes following a stock split. We find three results. First, the largest post‐split increase in institutional ownership occurs for firms that had low institutional ownership before the split. Second, changes in liquidity are negatively related to the level of institutional ownership before the split. Last, the abnormal return following a split is negatively related to the level of institutional ownership before the split. These findings are important as they shed new light on the source of stock split announcement returns.     

DO TRACKING STOCKS REDUCE INFORMATION ASYMMETRIES? AN ANALYSIS OF LIQUIDITY AND ADVERSE SELECTION

A firm's announcement that it intends to restructure based on tracking stock is usually associated with a positive stock price reaction, at least in the short run. Typically, this reaction is attributed to expected reductions in a diversification discount, through reduced agency costs or information asymmetries. We reinvestigate this latter hypothesis by focusing on the liquidity provided by market makers before and after a firm issues a tracking stock. Our results suggest that such restructurings are not effective at reducing information asymmetries. Rather, firms that issue tracking stocks exhibit less liquidity and greater adverse selection than comparable control firms.     

Commonality in liquidity and multilateral trading facilities

We use the introduction of two multilateral trading facilities (MTFs) to examine the impact of market fragmentation on commonality in liquidity. We find that the introduction of MTFs following the Markets in Financial Instruments Directive increases the comovement of stocks’ liquidity with MTF liquidity, while the comovement with the home market liquidity generally decreases. We also find that the higher the MTF trading volume or the number of MTFs trading a stock, the stronger the effect. Further, we find that the commonality in liquidity remains unchanged for a matched control sample of stocks that do not trade on MTFs.     

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.     

WHAT DRIVES TIME VARIATION IN EMERGING MARKET SEGMENTATION?

I use American Depositary Receipts and underlying stocks to test the level of integration of the stock markets of Argentina, Chile, and Mexico into the world capital market in the post‐liberalization period. I find that these markets experience time‐varying integration and are, on average, still not highly internationally integrated. Furthermore, there is no distinct trend toward higher levels of integration. In fact, the markets of Argentina and Mexico have become increasingly segmented over the post‐liberalization period. I find that financial and economic openness, stock market liquidity and volatility, and the state of the currency market significantly affect the level of segmentation.     

How plain English use affects the length of annual reports: Evidence from the annual reports of foreign firms listed on the US stock exchange

This study examines the impacts of plain English on the length of annual reports for the sample of 20-F forms which are annually filed by foreign firms listed on NYSE and NASDAQ. We found out that foreign firms have better complied with plain English in their disclosures over time with shorter sentences, less jargon, and readable writing styles; however, there was a significant increase in the length of 20-F from 2004 to 2013. We also recognize the impacts of plain English on the length of annual reports are mixed. The issuers may completely improve the readability of annual reports without significantly increasing the length of annual reports if they sophisticatedly combine all four elements of plain English in their disclosures. Additionally, the usage of passive voice and jargon in firms’ disclosures negatively influences the liquidity of stocks. There are significant differences in behaviors of issuing annual reports among countries. After the financial crisis in 2009, annual reports become longer and less readable.