Bank of England

Sentiment analysis of BoE speeches

Group Project

This group project was aimed at analysing how trends in the banks speeches correlate with observed events and economic indicators, as well as how the sentiment of these speeches can be used to predict market behaviour. This analysis will inform our understanding of the impact of the Bank’s communications on the economy, as well as the predictive power of using this data set.

  • The report considered 6 primary business questions as proposed by the Bank of England

    1. Has the sentiment of central bank speeches changed over time? If so, how has it changed?

    2. How does the sentiment of the Bank of England’s speeches correlate with key Events?

    3. How does the sentiment of speeches correlate with key economic indicators of the UK?

    4. Do these speeches have any predictive power to assist in predicting market behaviour?

    5. Are there other insights or findings from the analysis that may be of interest to the organisation?

    6. What are the potential reasons for any of the correlations discovered above? How have you drawn these conclusions?

    • Excel

    • Python (Jupyter Notebook)

    • Google Workspace

    • GitHub

  • This project lasted 6 weeks and I received a final grade of (pending)

Key insights and recommendations

View the Technical report and access the Python Jupyter Notebook at my GitHub by pressing the button below

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