About a-team Marketing Services
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

Upcoming Webinar: From Monolith to Modular: Architecting Equity Trading Platforms for 24/5 and Beyond

Date: 14 October 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Equities markets are entering a more distributed, always-on phase. Liquidity is fragmenting across venues and geographies, trading hours are extending toward 24/5 and beyond, and market data volumes, investor expectations and competitive pressure are all rising at once. Many...

BLOG

BMLL and Tradefeedr Partner to Build AI-Ready Analytics Layer for Equities and Futures

BMLL Technologies, the independent provider of harmonised historical order book data, and Tradefeedr, the network-based trading analytics platform, have announced a partnership to extend Tradefeedr’s analytics capabilities into equities and futures. The initiative, which includes a year-long industry pilot, represents Tradefeedr’s first move beyond its established FX analytics franchise and signals a broader ambition to...

EVENT

Digital Assets & Tokenisation Briefing, New York

A-Team Group’s Digital Assets & Tokenisation Briefing assembles an exclusive group of CxOs and senior technology innovators. These leading market practitioners and infrastructure providers are collectively building the digital rails and decentralised networks that will power Wall Street 2.0.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...