Abstract

In the literature of asset pricing, this paper introduces a new method to estimate the cost-based market liquidity (CBML), that is, the bid-ask spread. The proposed model of spread proxy positively correlates with the examined low-frequency spread proxies for a larger dataset. The introduced approach provides potential implications in important aspects. Unlike in the Roll bid-ask spread model and the CHL bid-ask estimator, the CBML model consistently estimates market liquidity and trading cost for the entire dataset. Additionally, the CBML estimator steadily measures positive spreads, unlike in the CS bid-ask spread model. The construction of the proposed approach is not computationally intensive and can be considered for distinct studies at both market and firm levels.

Highlights

  • This paper provides new insights of estimating the cost-based market liquidity in financial markets

  • The results importantly revealed, that the cost-based market liquidity (CBML) model has statistically strong correlation with the model proposed by Roll ( ), but the relationship of the CBML model is seen statistically moderate with bid-ask spread models proposed by Corwin and Schultz ( ) and Abdi and Ranaldo ( )

  • This work constructs a new proxy of the cost-based market liquidity from daily high, low, and close prices

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Summary

Introduction

This paper provides new insights of estimating the cost-based market liquidity in financial markets. To construct the CBML estimator, the model considers distinct theoretical assumptions: (a) high prices and low prices are always initiated by buyers and sellers, respectively (Corwin & Schultz, ); (b) an informed trader, either from buyer-side or seller-side, is always present with equal probability in the market (Glosten & Milgrom, ); (c) a transaction discloses inventory holding cost that liquidity providers demand against the provision of price fluctuations (Amihud & Mendelson, ); and (d) liquidity providers would be compensated for the order processing cost at the time of trade (Roll, ). This model looks at past prices by a logic that providers of liquidity would be compensated in the following trading session against the price fluctuations and administration expenses This implies, the CBML estimator reflects cost-based market liquidity for two-consecutive single days.

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