Mondo Visione Worldwide Financial Markets Intelligence

FTSE Mondo Visione Exchanges Index:

Turnover At Deutsche Börse’s Cash Markets At 93.3 Billion Euros In August

Date 01/09/2016

Order book turnover on Xetra, Börse Frankfurt and Tradegate Exchange across all asset classes stood at €93.3 billion in August (August 2015: €142.3 billion).

Of the €93.3 billion, €84.7 billion were attributable to Xetra (August 2015: €130.9 billion). The average daily turnover on Xetra stood at €3.7 billion in August (August 2015: €6.2 billion). A turnover of €3.3 billion was attributable to Börse Frankfurt (August 2015: €4.7 billion). Order book turnover on Tradegate Exchange* totalled approximately €5.4 billion in August (August 2015: €6.7 billion).

Broken down by asset classes, cash market turnover in equities reached about €81.1 billion. Turnover in ETFs/ETCs/ETNs amounted to €10.5 billion. Turnover in bonds was €0.6 billion, in structured products €1.0 billion and in funds €0.1 billion.
The electronic trading platform Eurex Bonds traded €4.9 billion (single counting, mainly government bonds) in August (August 2015: €6.8 billion).

Viewed by transactions, a total of 18.2 million trades were executed on Xetra in August (August 2015: 22.0 million).
The DAX security with the highest turnover on Xetra in August was Siemens AG at €4.4 billion. K+S AG led the MDAX equities with €823 million, while Kloeckner & Co SE topped the SDAX equity index with €125 million, and Wirecard AG headed TecDAX with €482 million. The ETF with the highest turnover on Xetra was iShares Core DAX UCITS ETF with €1.1 billion. Xetra-Gold led  the ETC segment on Xetra with €164 million.

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

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

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