Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Paul Besson"'
Publikováno v:
The Journal of Investing. 28:91-108
Initially designed as a better alternative than dark trading, the success of periodic auctions has spread across all European stocks. On capped stocks, the market share of periodic auctions rose from 1 to 4.5 percent between early March and September
Autor:
Paul Besson, Matthieu Lasnier
Publikováno v:
SSRN Electronic Journal.
In this paper, we want to address the question of market impact of consecutive orders over the same day and across two consecutive days. This question is key for traders who need to determine the best way to schedule their executions. This question i
Publikováno v:
SSRN Electronic Journal.
In this paper, we show that synchronised market data across different venues can be of great help to better understand orderbook dynamics. We introduce a new measure for main European trading destinations: the “limit evasiveness”. It characterise
Publikováno v:
SSRN Electronic Journal.
In this paper we first want to understand what the main drivers of European market fragmentation are, based on the relative characteristics of the different orderbooks across venues. We show that with just two variables – “first limit prices” a
Publikováno v:
The Journal of Trading. 11:77-91
Traders have always empirically estimated the short-term dynamic of the market. Contrary to popular belief, building a quantitative estimate of the next trade is not some sort of “Holy Grail” only accessible to the darkest high-frequency traders.
Autor:
Eduardo Cepeda, Paul Besson
Publikováno v:
SSRN Electronic Journal.
In this paper we want to trace back the origin of what has been called the low volatility anomaly. In particular we are in line with the work of [11, Hsu, Kudoh and Yamada (2013)] which demonstrated the fact the analysts were too optimistic on future
Autor:
Paul Besson, Matthieu Lasnier
Publikováno v:
SSRN Electronic Journal.
Standard Volume algos induce predictable aggressive trades. Large aggressive orders in the market often trigger, in turn, aggressive trades from Standard Volume algos. This phenomenon leads to late aggressive trading, which is particularly predictabl
Publikováno v:
The Journal of Trading.
Autor:
Paul Besson, Matthieu Lasnier
Publikováno v:
Market Microstructure and Liquidity. :1750007
We leverage Kepler Cheuvreux client order database over the period October 2014 — October 2016 (349,442 trades corresponding to a EUR92.3bn turnover) to estimate new models of market impact. We find a multiplicative relationship between the market
Autor:
Paul Besson, Charles-Albert Lehalle
Publikováno v:
SSRN Electronic Journal.
In this paper we propose a method to breakdown any price change at any scale time into a book-driven component and a deal driven component.Following recent empirical researches on orderbook dynamics, we build an estimate of the most probable next tra