FINANCE-05 · Undergraduate · ENGLISH · PLANNED
Trace cash flows, calculate a transparent model, stress-test assumptions and explain risk.
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 Finance | Financial Markets and Institutions
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Sign in to save this learning pathPractical outcome: Trace a fictional security trade from issuance to settlement.
Explain primary markets using a visual and one worked real-world example. Context: Trace a fictional security trade from issuance to settlement. End with a prediction or check-for-understanding.
Explain secondary markets using a visual and one worked real-world example. Context: Trace a fictional security trade from issuance to settlement. End with a prediction or check-for-understanding.
Explain exchanges using a visual and one worked real-world example. Context: Trace a fictional security trade from issuance to settlement. End with a prediction or check-for-understanding.
Explain dealer markets using a visual and one worked real-world example. Context: Trace a fictional security trade from issuance to settlement. End with a prediction or check-for-understanding.
Use the first concepts from this section. Trace a fictional security trade from issuance to settlement. 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 market orders using a visual and one worked real-world example. Context: Trace a fictional security trade from issuance to settlement. End with a prediction or check-for-understanding.
Explain limit orders using a visual and one worked real-world example. Context: Trace a fictional security trade from issuance to settlement. End with a prediction or check-for-understanding.
Explain clearing using a visual and one worked real-world example. Context: Trace a fictional security trade from issuance to settlement. End with a prediction or check-for-understanding.
Explain settlement using a visual and one worked real-world example. Context: Trace a fictional security trade from issuance to settlement. End with a prediction or check-for-understanding.
Trace a fictional security trade from issuance to settlement. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Primary markets, Secondary markets, Exchanges and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Map who bears risk in a simplified financial system.
Explain commercial banks using a visual and one worked real-world example. Context: Map who bears risk in a simplified financial system. End with a prediction or check-for-understanding.
Explain investment banks using a visual and one worked real-world example. Context: Map who bears risk in a simplified financial system. End with a prediction or check-for-understanding.
Explain asset managers using a visual and one worked real-world example. Context: Map who bears risk in a simplified financial system. End with a prediction or check-for-understanding.
Explain pension funds using a visual and one worked real-world example. Context: Map who bears risk in a simplified financial system. End with a prediction or check-for-understanding.
Use the first concepts from this section. Map who bears risk in a simplified financial system. 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 insurers using a visual and one worked real-world example. Context: Map who bears risk in a simplified financial system. End with a prediction or check-for-understanding.
Explain credit-rating agencies using a visual and one worked real-world example. Context: Map who bears risk in a simplified financial system. End with a prediction or check-for-understanding.
Explain central banks using a visual and one worked real-world example. Context: Map who bears risk in a simplified financial system. End with a prediction or check-for-understanding.
Explain financial regulators using a visual and one worked real-world example. Context: Map who bears risk in a simplified financial system. End with a prediction or check-for-understanding.
Map who bears risk in a simplified financial system. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Commercial banks, Investment banks, Asset managers and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Practical outcome: Analyse a synthetic market disruption using several explanations.
Explain price discovery using a visual and one worked real-world example. Context: Analyse a synthetic market disruption using several explanations. End with a prediction or check-for-understanding.
Explain bid-ask spreads using a visual and one worked real-world example. Context: Analyse a synthetic market disruption using several explanations. End with a prediction or check-for-understanding.
Explain liquidity using a visual and one worked real-world example. Context: Analyse a synthetic market disruption using several explanations. End with a prediction or check-for-understanding.
Explain leverage using a visual and one worked real-world example. Context: Analyse a synthetic market disruption using several explanations. End with a prediction or check-for-understanding.
Use the first concepts from this section. Analyse a synthetic market disruption using several explanations. 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 market efficiency using a visual and one worked real-world example. Context: Analyse a synthetic market disruption using several explanations. End with a prediction or check-for-understanding.
Explain behavioural biases using a visual and one worked real-world example. Context: Analyse a synthetic market disruption using several explanations. End with a prediction or check-for-understanding.
Explain contagion using a visual and one worked real-world example. Context: Analyse a synthetic market disruption using several explanations. End with a prediction or check-for-understanding.
Explain systemic risk using a visual and one worked real-world example. Context: Analyse a synthetic market disruption using several explanations. End with a prediction or check-for-understanding.
Analyse a synthetic market disruption using several explanations. Work without the example, compare two cases, record assumptions and limitations, then self-review correctness, reasoning and clarity.
6–12 questions covering Price discovery, Bid-ask spreads, Liquidity and the remaining section concepts, with cumulative retrieval from earlier sections. Include a new transfer problem; 70% unlocks progression.
Combine all three sections: Analyse a synthetic market disruption using several explanations. 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 Financial Markets and Institutions, including interpretation, calculation or reasoning, a misconception and a new application. Passing is 70%; review errors before retrying.
Fictional USD budgets, statement analysis, valuation models and risk scenarios. 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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