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Physica A Statistical Mechanics and its Applications
Article . 2022 . Peer-reviewed
License: CC BY
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zbMATH Open
Article . 2022
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SSRN Electronic Journal
Article . 2020 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2020
License: CC BY
Data sources: Datacite
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Heavy tailed distributions in closing auctions

Authors: M. Derksen; B. Kleijn; R. de Vilder;

Heavy tailed distributions in closing auctions

Abstract

We study the tails of closing auction return distributions for a sample of liquid European stocks. We use the stochastic call auction model of Derksen et al. (2020a), to derive a relation between tail exponents of limit order placement distributions and tail exponents of the resulting closing auction return distribution and we verify this relation empirically. Counter-intuitively, large closing price fluctuations are typically not caused by large market orders, instead tails become heavier when market orders are removed. The model explains this by the observation that limit orders are submitted so as to counter existing market order imbalance.

Country
Netherlands
Keywords

closing auction, closing prices, Quantitative Finance - Trading and Market Microstructure, Statistical Finance (q-fin.ST), 330, Quantitative Finance - Statistical Finance, heavy tails, Trading and Market Microstructure (q-fin.TR), Auctions, bargaining, bidding and selling, and other market models, FOS: Economics and business, price formation, stochastic models

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green
hybrid