8475 modules
Page 335
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MATH6017 2027-28
Financial Portfolio Theory
The module aims to introduce the students to the basics of portfolio theory. Beginning with a summary of the reasons why both private investors and large institutional investors might wish to own share portfolios, the module progresses to consider how risk and return vary as share prices move and introduces the student to the basics of Markowitz portfolio theory. Illustrative two-asset cases will then be considered before the risk/reward diagram for an N asset portfolio is examined. The notions of
short selling and riskless assets will then be introduced to the student and incorporated into the theory. Finally, the student will learn how to solve the general Markowitz portfolio problem to
determine the Optimum portfolio, the Capital Market Line and the Market Price of Risk. If time permits, discussion will also take place of more advanced models of portfolio theory. -
MATH6017 2026-27
Financial Portfolio Theory
The module aims to introduce the students to the basics of portfolio theory. Beginning with a summary of the reasons why both private investors and large institutional investors might wish to own share portfolios, the module progresses to consider how risk and return vary as share prices move and introduces the student to the basics of Markowitz portfolio theory. Illustrative two-asset cases will then be considered before the risk/reward diagram for an N asset portfolio is examined. The notions of
short selling and riskless assets will then be introduced to the student and incorporated into the theory. Finally, the student will learn how to solve the general Markowitz portfolio problem to
determine the Optimum portfolio, the Capital Market Line and the Market Price of Risk. If time permits, discussion will also take place of more advanced models of portfolio theory. -
MATH6017 2025-26
Financial Portfolio Theory
The module aims to introduce the students to the basics of portfolio theory. Beginning with a summary of the reasons why both private investors and large institutional investors might wish to own share portfolios, the module progresses to consider how risk and return vary as share prices move and introduces the student to the basics of Markowitz portfolio theory. Illustrative two-asset cases will then be considered before the risk/reward diagram for an N asset portfolio is examined. The notions of
short selling and riskless assets will then be introduced to the student and incorporated into the theory. Finally, the student will learn how to solve the general Markowitz portfolio problem to
determine the Optimum portfolio, the Capital Market Line and the Market Price of Risk. If time permits, discussion will also take place of more advanced models of portfolio theory. -
MANG6607 2026-27
Financial Reporting and Analysis
This module explores financial reporting fundamentals through analysing annual reports that stakeholders use to evaluate performance. Students will develop understanding of financial statement preparation and its critical interpretation, examining how accounting standards shape business reporting and stakeholder decision-making while considering sustainability imperatives -
MANG6223 2025-26
Financial Reporting and Markets
Students will be introduced to the regulation of financial reporting; the information perspective to financial reporting; the valuation relevance of financial reporting; economic consequences and Positive Accounting Theory; Earnings management. -
MANG6223 2026-27
Financial Reporting and Markets
Students will be introduced to the regulation of financial reporting; the information perspective to financial reporting; the valuation relevance of financial reporting; economic consequences and Positive Accounting Theory; Earnings management. -
MANG6020 2025-26
Financial Risk Management
The module explores bank regulations as well as theoretical and practical techniques to measure market risk, interest rate risk and credit risk. It also discusses the theoretical and practical aspects of the risk management techniques employed in the financial services industry to hedge market risk, interest rate risk and credit risk. -
MANG6020 2028-29
Financial Risk Management with AI
This module explores traditional financial risk management and bank regulation in the context of an increasingly AI-driven and digitally enabled financial system. It covers core tools for measuring and managing market, credit and interest risk, then examines how AI and other data-driven models reshape risk transmission, shift risks to new players and can accelerate episodes of market stress. The module highlights how these developments both challenge and enhance existing risk frameworks and regulation, and shows how financial risk management must adapt to contemporary risks and opportunities created by AI and digital finance. -
MANG6020 2026-27
Financial Risk Management with AI
This module explores traditional financial risk management and bank regulation in the context of an increasingly AI-driven and digitally enabled financial system. It covers core tools for measuring and managing market, credit and interest risk, then examines how AI and other data-driven models reshape risk transmission, shift risks to new players and can accelerate episodes of market stress. The module highlights how these developments both challenge and enhance existing risk frameworks and regulation, and shows how financial risk management must adapt to contemporary risks and opportunities created by AI and digital finance. -
MANG6020 2027-28
Financial Risk Management with AI
This module explores traditional financial risk management and bank regulation in the context of an increasingly AI-driven and digitally enabled financial system. It covers core tools for measuring and managing market, credit and interest risk, then examines how AI and other data-driven models reshape risk transmission, shift risks to new players and can accelerate episodes of market stress. The module highlights how these developments both challenge and enhance existing risk frameworks and regulation, and shows how financial risk management must adapt to contemporary risks and opportunities created by AI and digital finance.