Stock market liquidity and monetary policy

Purpose: This article investigates the deterministic relationship between monetary policy and stock market liquidity in South Africa. Design/Methodology/Approach: The Ordinary Least Square Method was used to capture the nexus between the Johannesburg Stock Exchange indices and selected liquidity measures over the period of 2002 to 2019. The liquidity measures chosen were multi-dimensional in nature, exhibiting characteristics such as tightness, immediacy, depth, breadth and resiliency. Findings: Empirical evidence shows that liquidity depend on monetary policy adjustments as the results reveal that liquidity is dependent on changes in South African Benchmark overnight rate (SABOR). The strength and significance of the relationship depended on the indices and period of analysis. The liquidity measure used was also influential as the results showed a negative relationship between SABOR and adjusted illiquidity measure in line with theory. Also, in line with theory effective spread was found to be positively related with SABOR. The relationship conflicted the theory on the trading volume as it was positively related to SABOR. However, the analysis could not confirm that the relationship between liquidity and monetary policy is asymmetric. Practical Implications: The article highlights the fact that stock market investment professionals, traders and regulators should account for the effects of changes in interest rates when modeling market frictions like liquidity. Originality/Value: An investigation was done in an emerging equity market which is different from the dynamics and mechanics of the developed equity markets because the emerging stock markets are illiquid and constitute a lot of market imperfections. Furthermore, developing countries’ financial markets are extremely segmented and less efficient. The results revealed important insights that stock liquidity is time variant and index dependent and contrary to many studies the relationship between stock liquidity and monetary policy is not asymmetry.peer-reviewe

Measuring market liquidity: An introductory survey

Asset liquidity in modern financial markets is a key but elusive concept. A market is often said to be liquid when the prevailing structure of transactions provides a prompt and secure link between the demand and supply of assets, thus delivering low costs of transaction. Providing a rigorous and empirically relevant definition of market liquidity has, however, provided to be a difficult task. This paper provides a critical review of the frameworks currently available for modelling and estimating the market liquidity of assets. We consider definitions that stress the role of the bid-ask spread and the estimation of its components that arise from alternative sources of market friction. In this case, intra-daily measures of liquidity appear relevant for capturing the core features of a market, and for their ability to describe the arrival of new information to market participants

Asymmetric Information and Market Collapse

In this paper, using data for the period January 1995 to May 2009 for the Shanghai stock exchange (SHSE), we show that aggregate illiquidity is a priced risk factor. We develop the relationship between the illiquidity factor, asymmetric information, and market collapse. Our empirical results show that while the illiquidity factor is a source of asymmetric information on the SHSE, asymmetric information does not trigger a market collapse.Illiquidity Factor; Asymmetric Information; Market Collapse.

Asymmetric information and market collapse: Evidence from the Chinese Market

In this paper, using data for the period January 1995 to May 2009 for the Shanghai stock exchange (SHSE), we show that aggregate illiquidity is a priced risk factor. We develop the relationship between the illiquidity factor, asymmetric information, and market collapse. Our empirical results show that while the illiquidity factor is a source of asymmetric information on the SHSE, asymmetric information does not trigger a market collapseIlliquidity Factor; Asymmetric Information; Market Collapse

Measuring market liquidity: an introductory survey

Asset liquidity in modern financial markets is a key but elusive concept. A market is often said to be liquid when the prevailing structure of transactions provides a prompt and secure link between the demand and supply of assets, thus delivering low costs of transaction. Providing a rigorous and empirically relevant definition of market liquidity has, however, provided to be a difficult task. This paper provides a critical review of the frameworks currently available for modelling and estimating the market liquidity of assets. We consider definitions that stress the role of the bid-ask spread and the estimation of its components that arise from alternative sources of market friction. In this case, intra-daily measures of liquidity appear relevant for capturing the core features of a market, and for their ability to describe the arrival of new information to market participants.market microstructure; liquidity risk; frictions; transaction costs

Measuring market liquidity: An introductory survey

Asset liquidity in modern financial markets is a key but elusive concept. A market is often said to be liquid when the prevailing structure of transactions provides a prompt and secure link between the demand and supply of assets, thus delivering low costs of transaction. Providing a rigorous and empirically relevant definition of market liquidity has, however, provided to be a difficult task. This paper provides a critical review of the frameworks currently available for modelling and estimating the market liquidity of assets. We consider definitions that stress the role of the bid-ask spread and the estimation of its components that arise from alternative sources of market friction. In this case, intra-daily measures of liquidity appear relevant for capturing the core features of a market, and for their ability to describe the arrival of new information to market participants.

Pricing Liquidity Risk with Heterogeneous Investment Horizons

We develop an asset pricing model with stochastic transaction costs and investors with heterogeneous horizons. Depending on their horizon, investors hold different sets of assets in equilibrium. This generates segmentation and spillover effects for expected returns, where the liquidity (risk) premium of illiquid assets is determined by investor horizons and the correlation between liquid and illiquid asset returns. We estimate our model for the cross-section of U.S. stock returns and find that it generates a good fit, mainly due to a combination of a substantial expected liquidity premium and segmentation effects, while the liquidity risk premium is small

Liquidity and Asset Prices

We review the theories on how liquidity affects the required returns of capital assets and the empirical studies that test these theories. The theory predicts that both the level of liquidity and liquidity risk are priced, and empirical studies find the effects of liquidity on asset prices to be statistically significant and economically important, controlling for traditional risk measures and asset characteristics. Liquidity-based asset pricing empirically helps explain (1) the cross-section of stock returns, (2) how a reduction in stock liquidity result in a reduction in stock prices and an increase in expected stock returns, (3) the yield differential between on- and off-the-run Treasuries, (4) the yield spreads on corporate bonds, (5) the returns on hedge funds, (6) the valuation of closed-end funds, and (7) the low price of certain hard-to-trade securities relative to more liquid counterparts with identical cash flows, such as restricted stocks or illiquid derivatives. Liquidity can thus play a role in resolving a number of asset pricing puzzles such as the small-firm effect, the equity premium puzzle, and the risk-free rate puzzle.Liquidity; Liquidity Risk; Asset Prices

Asset Pricing with Liquidity Risk

This paper solves explicitly an equilibrium asset pricing model with liquidity risk -- the risk arising from unpredictable changes in liquidity over time. In our liquidity-adjusted capital asset pricing model, a security's required return depends on its expected liquidity as well as on the covariances of its own return and liquidity with market return and market liquidity. In addition, the model shows how a negative shock to a security's liquidity, if it is persistent, results in low contemporaneous returns and high predicted future returns. The model provides a simple, unified framework for understanding the various channels through which liquidity risk may affect asset prices. Our empirical results shed light on the total and relative economic significance of these channels.