Data Analytics for Macroeconomists

The philosopher’s stone for traders and economists is to find statistically significant relations between asset prices and economic variables. This workshop explores routes to that goal.

Suitability

Tech Analysts, S&T Analysts (optionally)

Learning Outcomes

By the end of the course, participants will be able to:
• Make informed choices of what variables and prices to include in a predictive model;
• Automatically apply time-lags to some variable/price series to establish causality;
• Make informed choices of methodology;
• Standardise and scale variables to make them amenable to analysis
• Implement a Train/Test/Validate approach to the data they have.
• Enhance the model through e.g. data mining techniques.

Course Content

• Recap of relevant tools in Python: pandas, Numpy and rolling() to generate signals
• What are relevant data to include? Should we, or the model decide? An introduction to PCA and other feature selection methods
• Approaches to modelling: what are we trying to predict? Actual price/vol changes or binaries (e.g. bull/bear indicators)
• Method selection – what criteria?
• Train/test/validate the model
• What conclusions have we drawn?

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of a cohort was promoted within 2 years after participating in an Alpha course.

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of participants felt more confident in their role, following an Alpha commercial leadership course.

Why study with Alpha?

Innovation and creativity born from experience

We are thought leaders in instructional and learning journey design and holistic solution architects. We have extensive finance and investments experience combined with skills application to deliver performance improving results. We develop immersive learning environments that maximize time to productivity, support talent retention and added value to improving quality of hires.

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We are focused on mining the embedded organisational intellectual capital for the benefit of the next generation. We create and curate best in class practice gathered from our experience with the leading financial institutions. We design our programmes with the end in mind – what results are you trying to achieve with this intervention? What metrics will we set ourselves to achieve that?

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Quality and innovation, using current market and industry best practices, have made us a trusted partner in delivering dynamic and motivating training for the financial and capital markets. Our programmes are generation proof and responsive to evolving learner needs and styles. Our solutions use a multi-stakeholder engagement strategy that expands beyond relationships between the learner and learning provider. We create connections with managers, peers and the wider business to drive impactful return on investment..

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