Dr James Bowden


Accounting and Finance

Personal statement

I joined Strathclyde Business School in February 2019 as a Lecturer in Financial Technology. My doctorate research investigated relationships between online financial message board postings and abnormal trading activity in shares listed on the London Stock Exchange AIM. I hold an MSc in Investment Analysis, and a BA (Hons) in International Business.

I am primarily interested in the application of textual analysis methods in financial markets. In my previous work, I have investigated the role of online investor networks and discussions on the price-discovery process. My recent research has also investigated relationships between national news reporting and economic sentiment indicators. I am currently supervising doctoral research that examines the manner in which information is communicated via corporate earnings calls and effects on the magnitude of investor reaction. Other research interests include investor sentiment, behavioural finance, and the role of activist short-sellers in financial markets. Alongside research, my commentary on current financial events has been published by The Conversation UK, the World Economic Forum, MarketWatch and Business Insider.

Previously, I worked as Project Associate for a Knowledge Transfer Partnership (KTP) at Bangor Business School. I also worked for four years as a Senior Stock Research Analyst and Index Supervisor at Russell Investments (now FTSE Russell), and undertook an Internship at Merrill Lynch in Illinois during the fall-out of the Global Financial Crisis. Outside of academia I enjoy athletics and am a keen road, cross-country and hill runner.


PhD in Accounting and Finance, University of Dundee

MSc in Investment Analysis, University of Stirling

BA (Hons) in International Business, Nottingham Trent University



Economy through a lens : distortions of policy coverage in UK national newspapers
Bowden James, Kwiatkowski Andrzej, Rambaccussing Dooruj
Journal of Comparative Economics Vol 55, pp. 3094-3111 (2019)
Rumours built on quicksand : evidence on the nature and impact of message board postings in modern equity markets
Bowden James, Burton Bruce, Power David
European Journal of Finance Vol 24, pp. 544-564 (2018)

More publications


I am co-director of the MSc Financial Technology at Strathclyde Business School. I am also responsible for delivering the Corporate Financing module for honours year students and the Future of Fintech module for the MSc Strategic Fintech.

Research interests

My research interests include:

  • Textual Analysis of Financial Texts
  • Sentiment Analysis in Financial Markets
  • Investor Networks and Online Communities
  • Behavioural Finance
  • Activist Short-Sellers

Professional activities

NFTs are much bigger than an art fad – here’s how they could change the world
Amsterdam ousts London as Europe’s top share hub, taking trading back to where it all began
GameStop: hedge fund attacks have opened up powerful new front against Wall Street

More professional activities


A Novel Measure of Individual Influence in Social Media Networks
Clark, Ruaridh (Principal Investigator) Egan, Kieren (Principal Investigator) Bowden, James (Co-investigator)
We plan to model influence within social media networks using methods employed in engineering and network science. In doing so, we can potentially reduce the impact of noise interactions which have typically affected studies testing for causal relationships between social media and external factors. For example, this sophisticated approach to influence detection can provide a new method for weighting online sentiment, collected from Twitter, from which relationships with financial market activity, political events, and healthcare policy may be tested.
In particular, we use financial time series to test the predictive power of our influence-weighted social media sentiment. Although previous studies in academic finance have investigated the extent to which online interactions between investors can affect financial trading activity, the findings of such studies are often accompanied by high error terms and thus no consensus has been reached. Our measure may provide a solution to this issue, while also offering a methodological contribution that is of interest to academics in computer science.
11-Jan-2019 - 31-Jan-2020

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