Module ASB-3001:
Markets Risk Analytics

Module Facts

Run by Bangor Business School

10.000 Credits or 5.000 ECTS Credits

Semester 2

Organiser: Dr Gwion Williams

Overall aims and purpose

To provide an introduction to the key concepts of market risk analysis and financial engineering. This module examines derivatives such as options, swaps, and securitization.

The module will look at how derivatives can be used for speculative, hedging, and arbitrage strategies, how derivatives are priced, and how they can be used to manage risk.

Microsoft Excel is used for the testing and application of theories.

Course content

Introduction to financial derivatives, option strategies, structured products, option pricing (binomial model and Black-Scholes), greeks, volatility trading, swaps, and interest rate risk and management.

Assessment Criteria

good

B- to B+ (60-69%): Very good performance Most of the relevant information accurately deployed. Good grasp of theoretical/conceptual/practical elements. Good integration of theory/practice/information in pursuit of the assessed work's objectives. Evidence of the use of creative and reflective skills.

threshold

D- to D+ (40-49%): No major omissions or inaccuracies in the deployment of information/skills. Some grasp of theoretical/conceptual/practical elements. Integration of theory/practice/information present intermittently in pursuit of the assessed work's objectives.

C- to C+

C- to C+ (50-59%): Much of the relevant information and skills mostly accurately deployed. Adequate grasp of theoretical/conceptual/practical elements. Fair integration of theory/practice/information in the pursuit of the assessed work's objectives. Some evidence of the use of creative and reflective skills.

excellent

A- to A+ (70%+): Outstanding Performance. The relevant information accurately deployed. Excellent grasp of theoretical/conceptual/practice elements. Good integration of theory/practice/information in pursuit of the assessed work's objectives. Strong evidence of the use of creative and reflective skills.

Learning outcomes

  1. Evaluate the role of derivatives in market risk analytics and in strategic decision making

  2. Comprehend and analyse the role of stochastic modelling in derivative pricing

  3. Perform a detailed assessment of how to create hedging and speculating strategies depending on the risk preferences of the firm and economic climate

  4. Develop and evaluate option and swap strategies for specific market risk problems

  5. Demonstrate a broad understanding of the role of swaps in managing interest rate risks

Assessment Methods

Type Name Description Weight
Exam 75.00
Online test mid semester 25.00

Teaching and Learning Strategy

Hours
Lecture

2-hour lecture per week, including some practical sessions within this time.

 20
Private study

8-hours private study per week on average. This will involve revising lecture material, completing exercises, and textbook readings.

 80

Transferable skills

  • Literacy - Proficiency in reading and writing through a variety of media
  • Numeracy - Proficiency in using numbers at appropriate levels of accuracy
  • Self-Management - Able to work unsupervised in an efficient, punctual and structured manner. To examine the outcomes of tasks and events, and judge levels of quality and importance
  • Exploring - Able to investigate, research and consider alternatives
  • Information retrieval - Able to access different and multiple sources of information
  • Inter-personal - Able to question, actively listen, examine given answers and interact sentistevely with others
  • Critical analysis & Problem Solving - Able to deconstruct and analyse problems or complex situations. To find solutions to problems through analyses and exploration of all possibilities using appropriate methods, rescources and creativity.
  • Presentation - Able to clearly present information and explanations to an audience. Through the written or oral mode of communication accurately and concisely.
  • Teamwork - Able to constructively cooperate with others on a common task, and/or be part of a day-to-day working team
  • Management - Able to utilise, coordinate and control resources (human, physical and/or financial)
  • Argument - Able to put forward, debate and justify an opinion or a course of action, with an individual or in a wider group setting
  • Self-awareness & Reflectivity - Having an awareness of your own strengths, weaknesses, aims and objectives. Able to regularly review, evaluate and reflect upon the performance of yourself and others

Subject specific skills

  • knowledge of theories and empirical evidence concerning financial management, risk and the operation of capital markets (in cases of degrees with significant finance content).
  • Framing. Through the study of economics, a student should learn how to decide what should be taken as given or fixed for the purposes of setting up and solving a problem, i.e. what the important 'parameters' are in constraining the solution to the problem. Learning to think about how and why these parameters might change encourages a student to place the economic problem in its broader social and political context. This 'framing' skill is important in determining the decision-maker's ability to implement the solutions to problems.
  • An appreciation of the nature of the contexts in which finance can be seen as operating, including knowledge of the institutional framework necessary for understanding the role, operation and function of markets and financial institutions (e.g. the economic, legal, regulatory and tax environment, both national and international; the firm; the capital markets and the public sector).
  • A knowledge of the major theoretical tools and theories of finance, and their relevance and application to theoretical and practical problems (e.g. concept of arbitrage and examples of its use; financial mathematics and capital budgeting criteria; informational efficiency; optimal risk sharing; portfolio theory; asset pricing models and the valuation of securities; cost of capital; derivative pricing; risk management; information asymmetry; principal agency relationships; signalling; Fisher separation and capital budgeting criteria; behavioural finance; term structure and the movement of interest rates; determination of exchange rates and financial intermediation).
  • An ability to interpret financial data including that arising in the context of the firm or household from accounting statements and data generated in financial markets. The interpretation may involve analysis using statistical and financial functions and procedures such as are routinely available in spreadsheets (eg Microsoft Excel) and statistical packages. It may assume the skills necessary to manipulate financial data and carry out statistical and econometric tests (e.g. estimation and interpretation of asset pricing models; financial modelling and projections; event studies and residuals analysis; elements of time series analysis, such as serial correlation mean reversion, and stochastic volatility).
  • An understanding of the relationship between financial theory and empirical testing, and application of this knowledge to the appraisal of the empirical evidence in at least one major theoretical area. The appraisal should involve some recognition of the limitation and evolution of empirical tests and theory (eg the efficient markets hypothesis; anomalies; pricing of derivatives and other securities; bond portfolio management; exchange rates; raising capital and capital structure).
  • An understanding of the factors influencing the investment behaviour and opportunities of private individuals (bonds, equities, and derivatives; risk aversion; risk/return trade-offs; portfolio management and performance measurement; pensions and long term savings; the tax treatment of savings and investments; international diversification; forex risk; objectives of and constraints on institutional investors and advisors).
  • An ability to understand financial statements, and a basic appreciation of the limitations of financial reporting practices and procedures (eg financial statement analysis; the relation between cash flow accounting and accrual accounting; discretionary accounting practices).
  • Problem solving and critical analysis: analysing facts and circumstances to determine the cause of a problem and identifying and selecting appropriate solutions.
  • Research: the ability to analyse and evaluate a range of business data, sources of information and appropriate methodologies, which includes the need for strong digital literacy, and to use that research for evidence-based decision-making.
  • Innovation, creativity and enterprise: the ability to act entrepreneurially to generate, develop and communicate ideas, manage and exploit intellectual property, gain support, and deliver successful outcomes.
  • Numeracy: the use of quantitative skills to manipulate data, evaluate, estimate and model business problems, functions and phenomena.
  • Ability to work with people from a range of cultures.
  • Articulating and effectively explaining information.
  • Communication and listening including the ability to produce clear, structured business communications in a variety of media.
  • Emotional intelligence and empathy.
  • Conceptual and critical thinking, analysis, synthesis and evaluation.
  • Self-management: a readiness to accept responsibility and flexibility, to be resilient, self-starting and appropriately assertive, to plan, organise and manage time.
  • Self reflection: self-analysis and an awareness/sensitivity to diversity in terms of people and cultures. This includes a continuing appetite for development.

Resources

Talis Reading list

http://readinglists.bangor.ac.uk/modules/asb-3001.html

Reading list

Options, Futures, and Other Derivatives, John C. Hull. Ninth Edition, Global Edition, Pearson (2017).

Courses including this module