Price formation in call auctions with insider information

Bruenner, Tobias (2018) Price formation in call auctions with insider information. Studies in Economics and Finance . ISSN 1086-7376

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Price formation in call auctions with insider information

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Abstract

Purpose: This study investigates -theoretically and empirically- if call auctions incorporate asymmetric information into prices. Design/methodology/approach: First, this study introduces a new model of price formation in a call auction with insider information. In this call auction model, insider trading gives rise to an asymmetric information component of
transaction costs. Next, this study estimates the model using twenty stocks from Euronext Paris and investigates if the asymmetric information component is present.

Findings: The theoretical analysis reveals that call auctions incorporate asymmetric information into prices. The empirical analysis finds strong evidence for the asymmetric information component. Testable implications provide
further support for the model.

Practical implications: Call auctions have recently been proposed as an alternative to continuous limit order book markets to overcome problems associated with high frequency trading. However, it is still an open question whether
call auctions efficiently aggregate asymmetric information. The findings of this study imply that call auctions facilitate price discovery and, therefore, are a viable alternative to continuous limit order book markets.

Originality/value: There is no generally accepted measure of trading costs for call auctions. Therefore, the measure introduced in this study is of great value to anyone who wants to (i) quantify trading costs in call auctions; (ii)
understand the determinants of trading costs in call auctions; or (iii) compare trading costs and their components between continuous markets and call auctions.

This study also contributes to the literature devoted to estimating the probability of information-based trading

Keywords:transaction costs, asymmetric information, Bayesian econometrics, informational efficiency
Subjects:L Social studies > L120 Microeconomics
N Business and Administrative studies > N300 Finance
L Social studies > L111 Financial Economics
L Social studies > L140 Econometrics
Divisions:Lincoln International Business School
ID Code:32676
Deposited On:17 Jul 2018 13:23

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