A 10,894,720-token corpus from CNBC, The Wall Street Journal, MarketWatch, Seeking Alpha, Bloomberg and Barron’s was analysed using keywords, lexical profiles, semantic tags, dictionaries and concordance lines. The resulting Global Stock Market Word List contains 486 technical, semi-technical and supportive items. It is a focused resource, but learning benefits remain untested.
Key findings
- The 486-item list contains technical, semi-technical and supportive words focused specifically on stock-market discourse rather than broad business or economics. Corpus frequency guides relevance but does not automatically determine priority for every proficiency level.
Why this matters globally
GSMWL can support curricula, exercises, news glosses and reading tools if the list, criteria and examples are shared lawfully and updated as market language evolves.
Thai researcher contribution
Five Kasetsart University researchers developed a globally usable Business English resource, highlighting Thai expertise in corpus-informed ESP and financial literacy.
Limitations to consider
The corpus reflects selected Western English-language outlets and one period, with paywall and editorial bias and limited emerging-market language. Polysemy and multiword units are challenging, and learner coverage or retention is untested.