Competition Between Exchanges Euronext Versus Xetra.pdf

Competition Between Exchanges: Euronext versus Xetra *

Maria Kasch-Haroutounian / Erik Theissen **

January 2003

Abstract: Exchanges in Europe face increasing competition. Smaller exchanges may come under

pressure to cooperate with one of the larger exchanges and adopt its trading system. It is, therefore,

important to evaluate the attractiveness of the two dominating continental European trading sys-

tems, Euronext and Xetra. Though both are anonymous electronic limit order books, there are im-

portant differences in the trading protocols. In this paper we use a matched-sample approach to

compare execution costs in Euronext Paris and Xetra. We find that both the effective spreads and its

components, the realized spread and the adverse selection component, are lower in Xetra. Differ-

ences in market organization - we consider differences in the number of liquidity provision agree-

ments, and differences in the minimum tick size - do not explain the spread differences.

JEL classification: G10, G15

Keywords:

Competition between exchanges, bid-ask spread

We thank participants of the 9th Symposium on Finance Banking and Insurance in Karlsruhe for helpful comments.

University of Bonn, BWL I, Adenauerallee 24-42, 53113 Bonn, Germany, Phone +49 228 739208, Fax +49 228

735924, Email: mkasch@uni-bonn.de and theissen@uni-bonn.de, respectively.

1 Introduction

European exchanges are in a process of consolidation. Banks and institutional investors are

putting pressure on exchange officials to decrease transaction costs. The fragmentation of

European exchanges has been identified as one source of high transaction costs. Mergers be-

tween exchanges and the joint use of trading systems are considered to be part of the solution.

As Jacques de Larosiere, former gouverneur of the Banque de France and former president of

the European Bank for Reconstruction and Development puts it, 1

At national and cross-border level [...] traditional stock markets are being obliged

to regroup in order to secure the economies of scale essential if they are to become

competitive at European level.

The French Stock Exchange (ParisBourseSBF SA.) has merged with the exchanges in Am-

sterdam, Brussels and (in 2002) Lisboa to form Euronext. The common trading platform is in

operation since 2001. The London-based derivatives exchange LIFFE has joined the Euronext

group in 2002. Deutsche Börse AG has merged its derivatives trading subsidiary, Deutsche

Terminbörse AG, with the Swiss derivatives exchange SOFFEX to form EUREX, now the

world’s largest derivatives exchange. Further, Deutsche Börse AG has attempted a merger

with the London Stock Exchange in 2000. Although that merger failed, Deutsche Börse AG

has succeeded in convincing the exchanges in Austria and Ireland to adopt its electronic trad-

ing system Xetra.

Despite this trend towards consolidation, there are still many exchanges in Europe that are

independent and operate their own trading system. Sooner or later some of these exchanges

may face the decision to join one of the two dominating continental European trading systems.

When making that choice (and leaving aside political considerations), the quality of the mar-

ket should be a decisive factor. Similarly, major global corporations seeking a continental

European listing (or a Euro zone listing) may opt for only one listing and then also have to

decide between Xetra and Euronext.

This motivates the present paper. We empirically analyze the execution costs in Xetra and

Euronext. Both are electronic open limit order books which share many similarities, but also

differ in important ways. Besides differences in the trading systems, there are also differences

in the characteristics of the listed companies. In order to trace differences in execution costs

back to the design of the trading systems we have to control for stock characteristics.

There are two principal approaches to achieve this. The first is to analyze identical stocks

traded in both markets, e.g. French stocks which are also traded in Xetra or vice versa. This

approach has (among others) been used by Pagano / Röell (1990), Schmidt / Iversen (1993),

de Jong / Nijman / Röell (1995) and Degryse (1997) to compare the cost of trading continental

European stocks in their home market and in the London-based SEAQ system. The second

approach is to compare stocks which are similar with respect to those characteristics that de-

termine liquidity. The resulting matched sample procedure has been used to compare execu-

tion costs on NYSE and Nasdaq (Affleck-Graves / Hegde / Miller 1994, Huang / Stoll 1996,

Bessembinder / Kauffman 1997), in electronic and floor-based trading systems (Venkatara-

man 2001) and in pure limit order books, hybrid systems and dealership markets (Ellul 2002).

The problem with the first approach is that the home market has a natural liquidity advantage

(Piwowar 1997). Adopting this approach would most likely yield the result that Euronext

Paris offers lower trading costs for French stocks whereas Xetra offers lower costs for German

The statement was made in a speech at the Brussels Economic Form in May 2002. The manuscript can be

downloaded at http://www.asmp.fr/sommair2/section/textacad/larosiere/eurofi.pdf.

stocks. We therefore use a matched sample comparison. Using market capitalization, trading

volume and volatility as matching criteria, we form 40 pairs of stocks. Each pair consists of

one French stock traded on Euronext Paris and one German stock traded in Xetra. Our ap-

roach is similar to Venkataraman (2001) and Ellul (2002). Venkataraman (2001) uses a

matched sample approach to compare US stocks listed on the NYSE and French stocks traded

in NSC (the predecessor of Euronext Paris). His focus is on comparing floor-based and elec-

tronic trading. Ellul (2002) compares French stocks traded on the CAC system (the predeces-

sor of NSC), German stocks traded on IBIS (the predecessor of Xetra) and UK stocks traded

on the SEAQ system. These systems differ with respect to the degree of dealer intervention.

He finds that spreads in IBIS are the lowest.

Our main results can be summarized as follows. Although there are no significant differences

in quoted spreads, effective spreads are lower in Germany. When decomposing the spread into

an adverse selection component and the realized spread, we find that both components are

lower in Xetra. We then test whether differences in market organization can explain these

findings. Specifically, we consider differences in the number of liquidity provision agree-

ments, and differences in the minimum tick size. None of these characteristics helps to explain

the higher execution costs in Euronext. Our results thus indicate that investors in the French

market are less well protected against informed traders, and that Euronext offers lower opera-

tional efficiency.

The paper is organized as follows. In section 2 we provide a detailed description of the trading

systems under scrutiny. Section 3 describes the data set and the matching procedure and pres-

ents descriptive statistics. Section 4 presents the results. Section 5 offers a concluding discus-

sion.

2 Equity Trading on Euronext Paris and Xetra

The two trading systems share many similarities. Most importantly, they are both anonymous

electronic open limit order books. However, closer inspection reveals that there are a number

of potentially important differences. In this section we give a short description of both trading

systems. It is complemented by the more detailed information given in Table I.

Insert Table I about here

Euronext is the result of a merger between the exchanges in France, the Netherlands, and Bel-

gium. The trading system goes back to the Cotation Assisté en Continue (CAC) system intro-

duced in 1986, later renamed Nouvelle Systeme de Cotation (NSC). After the merger in 2001,

several changes were implemented to harmonize the trading protocols on the three markets.

Liquid stocks are traded continuously from 9.00 a.m. to 5.25 p.m., with call auctions at the

open and at the close of trading. The market is fully transparent, with the exception of the hid-

den part of “iceberg orders”. Only a fraction of the volume of these orders (the “peak”) is visi-

ble on the screen. After execution of the peak, the next, equally-sized, part of the order be-

comes visible. 2 Crosses and block trades may be negotiated outside the system. The admissi-

ble prices for these transactions are restricted by the status of the order book. Reporting re-

quirements assure that they are funneled through the system.

For some less liquid stocks, liquidity providers stand ready to increase the liquidity. They

have to commit to posting firm two-way quotes. The definition of maximum spreads and

minimum depths is part of the agreement with Euronext. Volatility interruptions are triggered

when the potential transaction price would lie outside a pre-defined range around a reference

price.

Plik z chomika:

Inne pliki z tego folderu:

Inne foldery tego chomika: