Liquidity and equity returns in Borsa Istanbul

We investigate the relationship between expected returns and liquidity measures in Borsa Istanbul. To do so, we gather a wide range of illiquidity measures that can be applied to the market. Firm-level cross-sectional regressions indicate that there is a positive relationship between various illiquidity measures and one- to six-month ahead stock returns. Findings of the article are robust after using different sample periods and controlling for well-known priced factors, such as market beta, size, book-to-market ratio and momentum. The portfolio analysis reveals that stocks that are in the highest illiquidity quintile earn 7.2%–19.2% higher risk-adjusted annual returns than those in the lowest illiquidity quintile. The illiquidity premium is stronger for small stocks and stocks with higher return volatility and it increases (decreases) during periods of extremely low (high) market returns.     

Is market liquidity less resilient after the financial crisis? Evidence for US Treasuries

Understanding market liquidity resilience, i.e. the capacity of liquidity to absorb shocks, of United States Treasuries is crucial from a financial stability standpoint. The conventional resilience measure has limitations due to the use of the liquidity level. We propose a new complementary approach to analyze resilience based on liquidity volatility. For this purpose, we focus on the link between returns volatility and liquidity volatility, which is a relatively unexplored field. We fit a bivariate conditional correlation (CC-) GARCH model for the 10-year bond returns and five liquidity indicators from January 2003 to June 2016 to analyze persistence and spillovers between these variables in a parsimonious way. We find that after the crisis, spillovers between liquidity volatility and returns volatility are higher, feedback loops are more likely and volatility persistence is lower, which is consistent with a lower resilience. Our results help to explain recent episodes of high volatility in this market.     

LIQUIDITY CONSTRAINTS IN A MONETARY ECONOMY*

This article presents a microfounded model of money with a consumption and an investment market. We consider an economy in which only part of the investment returns can be pledged. A liquidity constraint arises when the pledgeable part of the returns are not enough to pay for investment costs. We show that when the liquidity constraint is binding, agents may make a cash downpayment and money can perform two roles—as a provider of liquidity services and exchange services. The liquidity constraint constitutes a channel though which underinvestment occurs even at low inflation rates.     

Which drives abnormal returns,over- or under-reaction? Studies applying longitudinal analysis

This article combined both cross-sectional and time-series longitudinal analysis to identify that factor anomalies are driven by either over-reaction or under-reaction. The basic principle is, first, use a factor to form 10 portfolios in the t quarter, then observe the average prices and returns of the 10 portfolios for the previous four quarters and for the following four quarters as well. Samples in this study contain all stocks listed in the US from 1990 to 2010. The empirical evidence shows that the reason for the abnormal returns of value (book-to-price ratios, earnings-to-price ratios, sales-to-price ratios), scale and liquidity factors is over-reaction. Meanwhile, the reason for the abnormal returns of growth factors (return on equity, return on assets and revenue growth rate) is under-reaction. The results provide significant policy implications. The anomaly returns of the value, scale and liquidity factors last longer and are more appropriate to be employed for long-run investment while the growth factors are better suited for short-run investment. Furthermore, a more profitable stock-selection strategy can be formed by simultaneously considering the above two types of factors to capture both of these two sources of anomaly returns.     

Global idiosyncratic risk moments

We investigate a global cross-sectional relation between idiosyncratic risk moments and expected stock returns by suggesting three global idiosyncratic volatility, skewness, and kurtosis risk factors. We also suggest two global small minus big and high minus low risk proxies for estimating return residuals of the test assets from a global asset pricing model. To perform robustness checks, we suggest other four global risk factors of momentum, leverage, bid-ask spread, and liquidity. We find a significant negative relation between stock portfolio returns and the global moments, and the cross section of stock returns reflects a significant negative price of risk for global idiosyncratic skewness (?0.13%) and idiosyncratic volatility (?1.85%) and a positive and significant price of risk for global idiosyncratic kurtosis. We find that our suggested risk factors are key drivers of risk premia in stock market and are robust to various checks. These factors also can forecast the gross domestic product growth over the sample period.     

Empirical tests on the asset pricing model with liquidity risk: An unobserved components approach

The aim of this paper is to test empirically the conditional liquidity-adjusted capital asset pricing model (L-CAPM) developed by Acharya and Pedersen (2005). Accordingly, we propose to estimate the L-CAPM using unobserved components methodology, which allows us to take into account the main stylized facts characterizing liquidity. Based on a sample of firms listed on the NASDAQ, our empirical analysis reveals several findings. Firstly, we show that liquidity is time-varying and exhibits strong seasonality. Secondly, we highlight the impact of the liquidity level premium on asset prices. Thirdly, we show that the most important liquidity risk is related to the covariance between portfolio illiquidity and market returns. Fourthly, we observe a negative relationship between portfolio returns and market illiquidity. Fifthly, we find that liquidity risk and illiquidity level are not always positively correlated.     

LIQUIDITY,MONEY CREATION AND DESTRUCTION,AND THE RETURNS TO BANKING*

We build on our earlier model of money in which bank liabilities circulate as a medium of exchange. We investigate optimal bank behavior and the resulting provision of liquidity under a range of central bank regulations. In our model, banks issue inside money under fractional reserves, facing the possibility of excess redemptions. Banks consider the float resulting from money creation and make reserve‐management decisions that affect aggregate liquidity conditions. Numerical examples demonstrate positive bank failure rates when returns to banking are low. Central bank interventions may improve banks' returns and welfare through a reduction in bank failure.     

A multi-period portfolio selection optimization model by using interval analysis

Due to few historical data that can be obtained in an emerging securities market, the future returns, risk and liquidity of securities cannot be forecasted precisely. The investment environment is usually fuzzy and uncertain. To handle these imprecise data, this paper discusses a fuzzy multi-period portfolio optimization problem where the returns, risk, and liquidity of securities are represented by interval variables. By taking the return, risk, liquidity and diversification degree of portfolio into consideration, an interval multi-period portfolio selection optimization model is proposed with the objective of maximizing the terminal wealth under the constraints of the return, risk and diversification degree of portfolio at each period. In the proposed model, a proportion entropy is employed to measure the diversification degree of portfolio. Using the fuzzy decision-making theory and multi-objective programming approach, the proposed model is transformed into a crisp nonlinear programming. Then, we design an improved particle swarm optimization algorithm for solution. Finally, a numerical example is given to illustrate the application of our model and demonstrate the effectiveness of the designed algorithm.     

流动性与资产定价:基于我国股市资产换手率与预期收益的实证研究

流动性与资产定价是目前金融研究的热点之一 (O’Hara,2 0 0 3 )。本文通过检验交易频率零假设和交易成本备择假设 ,深入分析我国股市流动性与资产定价的理论与经验关系 ,发现 :我国股市存在显著的流动性溢价 ,换手率低、交易成本高且流动性小的资产具有较高的预期收益 ;产生流动性溢价的原因是交易成本而不是交易频率 ;与国外股市相似 ,小企业收益率高于大企业 ,价值股收益率高于成长股。因此 ,我国股市并非令人无法捉摸 ,流动性、规模和价值效应都是资产定价的因素     

换手率与股票收益：流动性溢价还是投机性泡沫？

本文考察了中国股票市场股票换手率与横截面股票收益之间负相关关系的原因，研究发现这种关系不能由流动性溢价理论完全解释，多项证据表明由于换手率可以作为投资者异质性信念波动程度的代理变量，在市场卖空约束和投资者异质性信念同时存在的条件下，可能出现的投机性交易所造成的股价高估（投机性泡沫）是更为合适的解释。     

Liquidity Dynamics Across Small and Large Firms

In this paper, we analyse cross‐sectional heterogeneity in the time‐series variation of liquidity in equity markets. Our analysis uses a broad time‐series and cross‐section of liquidity data. We find that average daily changes in liquidity exhibit significant heterogeneity in the cross‐section; the liquidity of small firms varies more on a daily basis than that of large firms. A steady increase in aggregate market liquidity over the past decade is more strongly manifest in large firms than in small firms. Absolute stock returns are an important determinant of liquidity. We investigate cross‐sectional differences in the resilience of a firm's liquidity to information shocks. We use the sensitivity of stock liquidity to absolute stock returns as an inverse measure of this resilience, and find that the measure exhibits considerable cross‐sectional variation. Firm size, return volatility, institutional holdings, and volume are all significant cross‐sectional determinants of this measure.
(J.E.L.: D82, G10, G14).     

系统流动性、个股流动性与资产定价——基于我国沪市上市公司的实证研究

流动性是决定资产收益的重要变量之一,笔者主要通过数据的实证检验,验证市场流动性是否能完全解释流动性溢价,构建一个包含了Fama-French模型三因素和市场流动性因子的四因素模型,并利用上海证券交易所上市公司数据进行时间序列和面板数据分析,实证结果都支持了股票预期收益与流动性的强相关性。其中在时间序列检验中,从低流动性到高流动性资产组合中,两个模型的截距项都逐渐降低;进一步的GRS检验表明两个模型的截距都不同时显著为0,这都说明市场流动性因素不能完全涵盖个股流动性水平。     

The Role of Industry Effects in Simultaneous Reversal and Momentum Patterns in One-Month Stock Returns

When stocks are ranked by returns in one month, the portfolio of loser stocks tends to outperform the portfolio of winner stocks in the subsequent month. Yet industry portfolios tend to display momentum. We develop a model of information diffusion among agents with constrained information processing ability that reconciles these well-documented phenomena. We test whether this model or the overreaction hypothesis is consistent with the data. Additionally, a trading strategy based on the model outperforms strategies based on overreaction and on industry momentum. The strategy produces abnormal returns while controlling for market–risk and the size, book value, January, momentum, and liquidity effects.     

Liquidity shocks: A new solution to the forward premium puzzle

The frequent empirical failure of uncovered interest rate parity raises a question that has not been definitively answered: why do predictable excess returns on currencies persist in competitive currency markets? Supported by data from nine major currencies for 1978:08–2019:09, I provide a novel resolution to this enduring forward premium puzzle by building on the financial economics literature that explores the economic implications of limited access to capital markets. A liquidity shock, or the urgent demand for liquidity by credit-constrained arbitragers liquidating bond holdings, causes losses from sudden drops in bond prices. Arbitragers require a liquidity premium to compensate for potential losses that vary directly with the interest rate. It is this liquidity premium that explains persistent excess returns on currencies. I argue for policies favoring a low interest rate environment and macroprudential controls that ease liquidity constraints to increase the efficiency of international capital markets by reducing the liquidity premium.     

How the heterogeneity in investment horizons affects market trends

To investigate the relationship between the liquidity and the divergent degree of heterogeneous investors with different investment horizons, we propose an agent-based model based on the assumptions of the fractal market hypothesis. A laboratory market is used to investigate the impact of the divergent degree on the stability of the financial market. Simulation results indicate that the market becomes more stable as investors become increasingly divergent and are more likely to absorb the orders of the other side and maintain a narrow trade gap. Moreover, with highly heterogeneous investors, the market is more efficient, less liable to crash and less volatile. The simulation, based on the agent-based model, demonstrates that the interactions and herding behaviours of investors lead to a market crash when the divergent structure shrinks and only limited investment horizons are available. The result also suggests an alternate explanation of the anomaly of efficient market hypothesis, which shows why the momentum and contrarian strategies can earn excess returns in the short term and the long term, respectively. It also verifies the hypothesis that heterogeneous investors with different investment horizons provide market liquidity.     

The impact of trading volume,number of trades and overnight returns on forecasting the daily realized range

Intraday data of 26 German stocks are used to investigate whether the information contained in trading volume and number of trades as well as in various specifications of overnight returns can improve one-step-ahead volatility forecasts. For this purpose, a HAR model of the realized range adjusted for discrete trading is augmented by each of these variables and compared with the model's default form. The results show that the considered liquidity measures lead to very modest improvements in forecasting performance. The overnight returns exhibit some in-sample forecasting power. However, the accuracy improvement of out-of-sample forecasts is unequivocally non-significant.     

Do financial distress and liquidity crises affect value and size premiums?

This study investigates the impact of liquidity crises on the relationship between stock (value and size) premiums and default risk in the US market. It first examines whether financial distress can explain value and size premiums, and then, subsequently, aims to determine whether liquidity crises increase the risk of value and size premium investment strategies. The study employs a time-varying approach and a sample of US stock returns for the period between January 1982 and March 2011, a period which includes the current liquidity crisis, so as to examine the relationship between default risk, liquidity crises and value and size premiums. The findings indicate that the default premium has explanatory power for value and size premiums, which affect firms with different characteristics. We also find that liquidity crises may actually increase the risks related to size and value premium strategies.     

Oil price effects over individual Portuguese stock returns

During the last decades, the world energy dependence increased significantly. Understanding how companies depend on oil prices is essential, especially for countries highly dependent or importers. The work intends to investigate the relationship between oil price changes and Portuguese listed companies’ returns. Using the generalized autoregressive conditional heteroskedasticity model, we conclude that nearly 20 % of the companies are significantly affected by oil prices, finding also evidence that these effects are asymmetric, depending on the company’s current situation in the market (result attributed to the lack of liquidity and the small number of firms included within the sample). There exists some differences among economic sectors in the way they are impacted by oil price changes, although not so much significant. The results show that the bigger the company, the higher the probability of being significantly affected by oil price changes. Results suggest that lagged oil price positive shocks increase Portuguese companies’ returns, by opposition to the current oil price change. Findings highlight the key role played by aggregate demand-side oil price shocks over the financial economic activity, showing sector and individual companies’ differences, thus inducing the possibility of results being highly dependent over the economic context faced by the country under analysis, that firms are more sensitive to oil prices when the equity market is busiest and that oil price increases affect companies returns in a negative way, but price decreases cause more positive than negative effects over company returns.     

Country and industry factors in tests of Capital Asset Pricing Models for partially integrated emerging markets

Existing literature has produced broadly inconclusive evidence about the asset pricing model which best fits partially integrated markets. This paper examines whether industry and country factors are independent factors helping to determine returns in emerging stock markets, or are derived from the stocks’ risk-return characteristics. We link the country-industry decomposition framework to the local and the Global CAPM in a new and more direct way. The results show that country factors are additional independent sources of cross-sectional variation in stock returns before 1996 particularly under the Global CAPM. After 1996, the results suggest partial integration: industry and country factors are both additional independent determinants of cross-sectional variations in stock returns. .