Forecasting Macroeconomic Variables for Investors — Live course
Explore how forecasts of inflation and economic growth can inform investment analysis. The published agenda combines the investment context, demonstrations of forecasting methods and a questions-and-answers discussion. Join the live course and explore the topics through questions and discussion.
The published agenda identifies the presenters below. Confirm the line-up for your selected session.
Listed presenter
Macroeconomic context and forecasting methods
The published agenda lists PJ for the segments on inflation and growth forecasts and on forecasting with econometrics and data science.
Listed Q&A contributor
Data-science discussion
The published agenda lists Natalia as a contributor to the questions-and-answers segment with data-science experts. Confirm the speaker line-up for your selected session.
I heartily recommend PJ to anyone seeking input on the financial parameters that underpin different regulatory models.
Forecasting Macroeconomic Variables for Investors connects inflation and growth forecasts with investment decisions, demonstrates econometric and data-science forecasting methods, and includes a discussion with data-science contributors. The live listing gives Cloud Spaces ADGM in Abu Dhabi as the venue. Confirm the arrangements for your selected session. Check the available dates and ticket terms on Eventbrite before booking.
The course topics support three learning outcomes. They describe the concepts you will work through, rather than promising mastery from a single session.
This outline organises the topics described in the course listing. The summaries explain the subject matter in plain English.
These definitions support the course topic and help you interpret the material. They are explanatory context, not a promise that every term is a separate lesson.
| Term | Meaning |
|---|---|
| Macroeconomic forecast | An estimate of a future economy-wide quantity, conditional on the data, method and assumptions used. |
| Forecast horizon | The period between the forecast’s origin and the time being predicted. |
| ARIMA | Autoregressive integrated moving average: a time-series model combining past values, errors and differencing. |
| Multivariate model | A model using more than one variable or equation to represent relationships relevant to forecasting. |
| Elastic net | A regression approach that combines two forms of coefficient penalisation to manage model complexity. |
| Prophet | A forecasting framework representing trend and recurring seasonal effects, with options for additional regressors. |
| Neural network | A flexible statistical model built from connected computational units that learn patterns from data. |
| Out-of-sample evaluation | Testing forecasts on data not used to estimate the model; it helps assess performance beyond the fitting sample. |
Forecasting Macroeconomic Variables for Investors suits learners interested in macroeconomic forecasts and their use in investment analysis. Familiarity with investment assumptions, economic indicators or basic data analysis will help. No formal prerequisite is specified.
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MCC Economics brings economic and financial analysis to policy, regulation and investment questions. Forecasting Macroeconomic Variables for Investors offers a focused introduction to macroeconomic forecasts and their use in investment analysis. Explore its economic analysis services, research publications and team profiles to see the wider context of MCC’s work.
MCC Economics has helped us better understand the most important issues for our stakeholders, including: charges, shareholder returns, debt payments and inflation impacts.
Forecasting Macroeconomic Variables for Investors connects inflation and growth forecasts with investment decisions, demonstrates econometric and data-science forecasting methods, and includes a discussion with data-science contributors.
The live listing gives Cloud Spaces ADGM in Abu Dhabi as the venue. Confirm the arrangements for your selected session.
The listing offers live questions and discussion. Confirm recordings, slides, transcripts or certificates with MCC before assuming they are included in a live ticket.
The retrievable listing does not clearly specify a single duration. Confirm the duration of your selected session with MCC before registering.
The published agenda lists PJ McCloskey for the main presentation segments and Natalia Rojas-Perilla for the Q&A segment. Confirm the speaker line-up for your selected date.
Familiarity with investment assumptions, economic indicators or basic data analysis will help. No formal prerequisite is specified.
The agenda names ARIMA, multivariate econometrics, elastic net, Prophet and neural networks.
The listing introduces MCC’s economic forecasts for the UAE. The modelling concepts also provide context for understanding macroeconomic forecasting more broadly.
No. Forecasts help structure assumptions and uncertainty. Forecast errors and investment risk remain.
The retrievable listing does not specify a required software package or a completion certificate. Ask MCC if either matters to your training plans.
Contact MCC Economics through the consultation page to discuss team access or tailored training.
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