About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Study Points to Google Searches for Stock Analysis

Subscribe to our newsletter

Investors should consider the frequency of Google searches for particular keywords when analysing movements in the stock market.  This is one of the key practical recommendations of a new report from researchers at Essex Business School at the University of Essex and Norwich Business School at the University of East Anglia which has been published in theJournal of Banking and Finance.

The researchers analysed Google search frequencies for keywords related to 30 of the largest stocks traded on the New York Stock Exchange and Nasdaq, examining the level of demand for information, a concept that has been debated for many years only at a theoretical level.

The study revealed that the demand for information on the internet has a direct effect on all measures of stock market activity.  Importantly, the effect remains significant, even if the supply of information – as measured by the number of news items reported by Thomson Reuters – is taken into consideration.

Dr Nikolaos Vlastakis from Essex Business School says: “We derived two new measures for information demand – one for the individual company and one for the whole market – and discovered that both have a strong association with stock return volatility and trading volume.  Interestingly, we also found that the link between information demand and market activity becomes more prominent during turbulent times, such as the recent financial crisis.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unlocking value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

From Noise to Signal: How AI is Revolutionising Data Discovery for Traders and Investment Managers

The financial markets have never suffered from a lack of data. If anything, the challenge for modern traders and investment managers is quite the opposite: they are drowning in it. From real-time pricing and news feeds to unstructured earnings call transcripts and social media sentiment, the volume of information is immense. The critical differentiator in...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Regulatory Data Handbook – Fifth Edition

In response to the popularity of the A-Team Regulatory Data Handbook, we have published a fifth edition outlining the essentials of regulations that are likely to have an impact on data and data management at your organisation. New to this edition is a section on RegTech, covering drivers behind the development of innovative regulatory technology,...