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DAX: Companies, Overview & Versions

The DAX (Deutscher Aktienindex (German stock index); German pronunciation: ⓘ) is a stock market index consisting of the 40 major German blue chip companies trading on the Frankfurt Stock Exchange. It is a total return index. Prices are taken from the Xetra trading venue. According to Deutsche Börse, the operator of Xetra, DAX measures the performance of…

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DAX topic overview

The analysis highlights Companies, Overview and Versions as prominent areas in the source structure around DAX.

Related topics
16
Source areas
3
Connected nodes
19
Extracted relationships
28
Concept neighborhoods
11
Bridge connections
19

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 14 topics
Components · 1 topics
Versions · 1 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Constituents
40 (expanded from 30 in 2021)
Exchanges
Frankfurt Stock Exchange
Foundation
1 July 1988
Market cap
€1.891 trillion (March 2025)
Operator
STOXX (Qontigo, Deutsche Börse)
Related indices
MDAX, SDAX, TecDAX

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Versions

Components

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How DAX connects Entity context

The extracted context around DAX shows recurring relationship patterns in the source. For example, DAX → DAX Combined Index, DAXA, DBIndex, Deutsche Borse Indices, ETF, The Another extracted example is DAX → Below, Note, September, The, Weightings. Use these groups to spot repeated connection types before inspecting the individual relationships.

DAX

Top relations

related to Contract specifications · 6
DAX → DAX Combined Index, DAXA, DBIndex, Deutsche Borse Indices, ETF, The
related to Components · 5
DAX → Below, Note, September, The, Weightings
related to External links · 3
DAX → INDDAX MOBILEEurex Exchange HomepageFrankfurt, Official, Stock Exchange
related to Versions · 2
DAX → The, The DAX
Constituents · 1
DAX → 40 (expanded from 30 in 2021)
Exchanges · 1
DAX → Frankfurt Stock Exchange
Foundation · 1
DAX → 1 July 1988
Market cap · 1
DAX → €1.891 trillion (March 2025)
Operator · 1
DAX → STOXX (Qontigo, Deutsche Börse)
Related indices · 1
DAX → MDAX, SDAX, TecDAX

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

index frankfurt exchange xetra german companies performance stock börse 40 trading market deutsche 22 00 cet 100 30 venue l-dax

DAX relationships Subject–Predicate–Object triples

TTTA extracted 28 structured relationships around DAX. Examples in this analysis include DAX → Constituents → 40 (expanded from 30 in 2021) and DAX → Exchanges → Frankfurt Stock Exchange. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
DAXConstituents40 (expanded from 30 in 2021)1.00infobox
DAXExchangesFrankfurt Stock Exchange1.00infobox
DAXFoundation1 July 19881.00infobox
DAXMarket cap€1.891 trillion (March 2025)1.00infobox
DAXOperatorSTOXX (Qontigo, Deutsche Börse)1.00infobox
DAXRelated indicesMDAX, SDAX, TecDAX1.00infobox
DAXTypeLarge cap1.00infobox
DAXWebsiteOfficial website1.00infobox
DAXWeighting methodCapitalization-weighted1.00infobox
DAXis aequivalent of the UK FTSE 100 and the US Dow Jones Industrial Average0.90text
DAXrelated to Annual returnsThe0.60section
DAXrelated to ComponentsBelow0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around DAX bring nearby vocabulary together. In this analysis, examples include Companies, Performance and Index. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • DAX
    • Companies
    • Performance
    • Index
    • German
    • Exchange
    • Frankfurt
    • Börse
    • Deutsche
    • Market
    • Stock
    • Indices
    • List
  • dax
    • Companies
    • Performance
    • Index
    • German
    • Exchange
    • Frankfurt
    • Börse
    • Deutsche
    • Market
    • Stock
    • Indices
    • List
  • stock market index
    • Mdax
    • Operator
    • References
    • Sdax
    • Stock
    • Tecdax
    • Performance
    • Indices
    • Börse
    • Deutsche
    • List
    • Trading
  • frankfurt stock exchange
    • Exchange
    • Frankfurt
    • Stock
    • Indices
    • Market
    • Trading
    • Mdax
    • Sdax
    • Tecdax
    • German
    • Based
    • Eurex
  • total return index
    • Return
    • Total
    • Performance
    • Price
    • Indices
    • Stock
    • Deutsche
    • Floor
    • Index
    • L-dax
    • Mw-parser-output
    • References
  • deutsche börse
    • Deutsche
    • Operator
    • Price
    • Performance
    • Indices
    • Market
    • Xetra
    • German
    • Dax
    • Exchange
    • Frankfurt
    • Based
  • frankfurt
    • Exchange
    • Stock
    • Market
    • Trading
    • German
    • Based
    • Eurex
    • Floor
    • Index
    • L-dax
    • Mdax
    • References
  • floor trading
    • L-dax
    • Venue
    • Frankfurt
    • Xetra
    • Cet
    • Based
    • Eurex
    • Floor
    • Index
    • Mdax
    • Sdax
    • Tecdax

Connections between topic areas Semantic bridges

For DAX, one of the stronger structural bridges in this analysis connects DAX with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
DAX — Overview · splits 5 ⟂ 15

Map overview Semantic statistics

DAX

Nodes20
Edges19
Triples28
Avg. degree1.9
Density0.1
Components1

Source & methodology

TTTA analyzes the structure around DAX to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Companies, Overview & Versions, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — DAX · EN edition · Analysis: TopicsToTalkAbout

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