Mondo Visione Worldwide Financial Markets Intelligence

FTSE Mondo Visione Exchanges Index:

Turnover At Deutsche Börse’s Cash Markets At 116.5 Billion Euros In November

Date 01/12/2015

Order book turnover on Xetra, Börse Frankfurt and Tradegate Exchange across all asset classes stood at €116.5 billion in November (November 2014: €103.9 billion).

Of the €116.5 billion, €106.7 billion were attributable to Xetra (November 2014: €96.1 billion). The average daily turnover on Xetra stood at €5.1 billion in November (November 2014: €4.8 billion). A turnover of €4.1 billion was attributable to Börse Frankfurt (November 2014: €3.9 billion). Order book turnover on Tradegate Exchange* totalled approximately €5.8 billion in November (November 2014: €3.9 billion).

Broken down by asset classes, cash market turnover in equities reached about €100.9 billion. Turnover in ETFs/ETCs/ETNs amounted to €13.4 billion. Turnover in bonds was €0.7 billion, in structured products €1.3 billion and in funds €0.15 billion. The electronic trading platform Eurex Bonds traded €7.3 billion (single counting, mainly government bonds) in November (November 2014: €5.7 billion).

Viewed by transactions, a total of 21.2 million trades were executed on Xetra in November (November 2014: 16.0 million).

The DAX security with the highest turnover on Xetra in November was Daimler AG at €5.6 billion. Hugo Boss AG led the MDAX equities with €600 million, while Ströer SE topped the SDAX equity index with €441 million, and Dialog Semiconductor plc headed TecDAX with €1.0 billion. The ETF with the highest turnover on Xetra was iShares Core DAX UCITS ETF with €1.5 billion.


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.