ECONOMICS-11 · Advanced · ENGLISH · PLANNED
State the question and assumptions, draw the model, analyse evidence and test competing explanations.
Study time is an initial activity estimate, excluding extra reading, revision and extended laboratory or project work. Videos and question bodies have not been produced by adding this outline.
Complete these courses or demonstrate equivalent knowledge. These are recommended prerequisites, not enforced enrolment locks.
YouTube playlist: ARK Economics | Monetary, Financial and Applied Economic Forecasting
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Sign in to save this learning pathPractical outcome: Draw the balance-sheet effects of a fictional bank transaction.
Explain money creation using a visual and one worked real-world example. Context: Draw the balance-sheet effects of a fictional bank transaction. End with a prediction or check-for-understanding.
Explain bank balance sheets using a visual and one worked real-world example. Context: Draw the balance-sheet effects of a fictional bank transaction. End with a prediction or check-for-understanding.
Explain payment systems using a visual and one worked real-world example. Context: Draw the balance-sheet effects of a fictional bank transaction. End with a prediction or check-for-understanding.
Explain monetary transmission using a visual and one worked real-world example. Context: Draw the balance-sheet effects of a fictional bank transaction. End with a prediction or check-for-understanding.
Use the first concepts from this section. Draw the balance-sheet effects of a fictional bank transaction. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain central-bank operations using a visual and one worked real-world example. Context: Draw the balance-sheet effects of a fictional bank transaction. End with a prediction or check-for-understanding.
Explain financial frictions using a visual and one worked real-world example. Context: Draw the balance-sheet effects of a fictional bank transaction. End with a prediction or check-for-understanding.
Explain bank runs using a visual and one worked real-world example. Context: Draw the balance-sheet effects of a fictional bank transaction. End with a prediction or check-for-understanding.
Explain lender-of-last-resort concepts using a visual and one worked real-world example. Context: Draw the balance-sheet effects of a fictional bank transaction. End with a prediction or check-for-understanding.
Draw the balance-sheet effects of a fictional bank transaction. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Money creation, Bank balance sheets, Payment systems and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Backtest a forecast using a supplied synthetic monthly dataset.
Explain trends using a visual and one worked real-world example. Context: Backtest a forecast using a supplied synthetic monthly dataset. End with a prediction or check-for-understanding.
Explain seasonality using a visual and one worked real-world example. Context: Backtest a forecast using a supplied synthetic monthly dataset. End with a prediction or check-for-understanding.
Explain stationarity using a visual and one worked real-world example. Context: Backtest a forecast using a supplied synthetic monthly dataset. End with a prediction or check-for-understanding.
Explain autocorrelation using a visual and one worked real-world example. Context: Backtest a forecast using a supplied synthetic monthly dataset. End with a prediction or check-for-understanding.
Use the first concepts from this section. Backtest a forecast using a supplied synthetic monthly dataset. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain autoregressive models using a visual and one worked real-world example. Context: Backtest a forecast using a supplied synthetic monthly dataset. End with a prediction or check-for-understanding.
Explain forecast evaluation using a visual and one worked real-world example. Context: Backtest a forecast using a supplied synthetic monthly dataset. End with a prediction or check-for-understanding.
Explain structural breaks using a visual and one worked real-world example. Context: Backtest a forecast using a supplied synthetic monthly dataset. End with a prediction or check-for-understanding.
Explain forecast uncertainty using a visual and one worked real-world example. Context: Backtest a forecast using a supplied synthetic monthly dataset. End with a prediction or check-for-understanding.
Backtest a forecast using a supplied synthetic monthly dataset. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Trends, Seasonality, Stationarity and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Prepare a scenario memo for a fictional business facing inflation.
Explain business indicators using a visual and one worked real-world example. Context: Prepare a scenario memo for a fictional business facing inflation. End with a prediction or check-for-understanding.
Explain nowcasting concepts using a visual and one worked real-world example. Context: Prepare a scenario memo for a fictional business facing inflation. End with a prediction or check-for-understanding.
Explain scenario construction using a visual and one worked real-world example. Context: Prepare a scenario memo for a fictional business facing inflation. End with a prediction or check-for-understanding.
Explain inflation exposure using a visual and one worked real-world example. Context: Prepare a scenario memo for a fictional business facing inflation. End with a prediction or check-for-understanding.
Use the first concepts from this section. Prepare a scenario memo for a fictional business facing inflation. Produce a labelled diagram, trace or calculation; explain each step and check one changed input.
3–6 questions on the preceding first-half concepts only: recall, visual interpretation, application and one plausible misconception. Explain each answer after submission.
Explain demand forecasting using a visual and one worked real-world example. Context: Prepare a scenario memo for a fictional business facing inflation. End with a prediction or check-for-understanding.
Explain stress scenarios using a visual and one worked real-world example. Context: Prepare a scenario memo for a fictional business facing inflation. End with a prediction or check-for-understanding.
Explain model comparison using a visual and one worked real-world example. Context: Prepare a scenario memo for a fictional business facing inflation. End with a prediction or check-for-understanding.
Explain communicating uncertainty using a visual and one worked real-world example. Context: Prepare a scenario memo for a fictional business facing inflation. End with a prediction or check-for-understanding.
Prepare a scenario memo for a fictional business facing inflation. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Business indicators, Nowcasting concepts, Scenario construction and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Prepare a scenario memo for a fictional business facing inflation. Submit an original worked artifact, evidence or tests, assumptions and a reflection. Rubric: correctness, method, practical usefulness, reproducibility and communication. Self-reviewed, not certified.
6–12 balanced questions sampling every section of Monetary, Financial and Applied Economic Forecasting, including interpretation, calculation or reasoning, a misconception and a new application. Passing is 70%; review errors before retrying.
Economic diagrams, synthetic datasets, calculations and evidence-based policy memos. Guided work leads to an independent attempt, with a diagram, explanation, trace, calculation or tested artifact. Question bodies are generated when opened in your private learning path. Programming submissions are stored as text; the platform does not execute submitted code.
Use original or appropriately licensed datasets. Practical science activities use models or supplied data unless a qualified supervisor has reviewed a physical experiment.
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