Deutsche Börse announced it had €1.28 trillion turnover on its cash markets in 2014

FRANKFURT, 05-1-2015 — /EuropaWire/ — Deutsche Börse: In 2014, turnover at the cash markets of Deutsche Börse stood at €1.28 trillion (2013: €1.16 trillion).

Order book turnover on Xetra, Börse Frankfurt and Tradegate stood at €108.9 billion in December (December 2013: €85.4 billion). Of the €108.9 billion, €100.7 billion were attributable to Xetra (December 2013: €77.2 billion). €4.0 billion were attributable to Börse Frankfurt (December 2013: €4.2 billion). Order book turnover on Tradegate Exchange* totalled approximately €4.3 billion in December (December 2013: €4.0 billion).

In equities, turnover reached about €91.4 billion on Deutsche Börse’s cash markets (Xetra: €85.6 billion, Börse Frankfurt: €1.9 billion, Tradegate Exchange: €3.9 billion). Turnover in bonds was €0.7 billion, and in structured products €1.3 billion. Order book turnover in ETFs/ETCs/ETNs amounted to €15.4 billion.

A total of 15.6 million transactions were executed on Xetra in December (December 2013: 13.1 million). The average daily turnover on Xetra stood at €4.8 billion in December (December 2013: €4.3 billion).

The DAX security with the highest turnover in November was Bayer AG with €5.5 billion. Deutsche Annington Immobilien SE led the MDAX equities with €864.5 million, while C.A.T Oil AG topped the SDAX equity index with €138.0 million, and Wirecard AG headed TecDAX with €335.6 million. The ETF with the highest turnover on Xetra was Deka DAX UCITS ETF with €1.7 billion.

The electronic trading platform Eurex Bonds traded €7.3 billion (single counting) in December (December 2013: €5.4 billion).

Further details are available online in Deutsche Börse’s cash market statistics at www.xetra.com. For a pan-European comparison of trading locations, see the statistics provided by the Federation of European Securities Exchanges (FESE) atwww.fese.eu.

DAX®, MDAX®, SDAX®, TecDAX® and Xetra® are registered trademarks of Deutsche Börse AG.

*For the purpose of statistical comparability data has been adapted to the counting method of regional exchanges.

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