6 - Current Issues in Financial Markets Flashcards
Explain the distinctions between the two broad categories of machine learning and describe the techniques used within each category.
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Analyze and discuss the application of AI and machine learning techniques in the following areas:
- Credit risk
- Market risk
- Operational risk
- Regulatory compliance
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Describe the role and potential benefits of AI and machine learning techniques in risk management.
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Identify and describe the limitations and challenges of using AI and machine learning techniques in risk management.
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Identify and discuss the categories of potential risks associated with the use of AI by financial firms and describe the risks that are considered under each category.
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Describe the four core components of AI governance and recommended practices related to each.
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Explain how issues related to interpretability and discrimination can arise from the use of AI by financial firms.
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Describe practices financial firms can adopt to mitigate AI risks.
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Define cyber risk and describe the elements that constitute it.
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Describe and compare causes of cyber risks and methods of enacting cyber attacks.
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Identify and explain the effect COVID-19 has had on the level of cyber threat.
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Assess how the financial sector in particular has been threatened by cyber risk during the pandemic.
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Identify changes in cyber risk landscape and ways to mitigate risks to financial stability
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Identify the key market developments that took place during the March 2020 COVID-19 market turmoil, conditions that were prevalent, and their effects on the financial markets and its participants.
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Describe how financial participants sought safety and the stages by which stress spread through the financial system as the pandemic unfolded.
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