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Course profile

Commodities, Futures & Options (MKTG3961)

Study period
Sem 1 2025
Location
Gatton
Attendance mode
In Person

Course overview

Study period
Semester 1, 2025 (24/02/2025 - 21/06/2025)
Study level
Undergraduate
Location
Gatton
Attendance mode
In Person
Units
2
Administrative campus
Gatton
Coordinating unit
Agriculture and Food Sustainability School

An introduction to the process of price risk management associated with the trading of agricultural commodities. Provides a planning framework within which price risk can be managed as well as an introduction to concepts of forward selling, futures and options trading. The project involves a simulated trading exercise. (Minimum enrolment required 8).

Welcome to MKTG3961 Commodities, Futures, and Options. Risk management is a vital part of any business but becomes more important for agribusiness firms involved in the international trade of agricultural commodities. Although there are many sources of risk, price risk management is of particular relevance to agribusinesses be they growers, trading companies, or downstream processors. The course offers students an introduction to the process of agricultural price risk management both from the perspective of a farmer as well as a trading company. We will investigate the various tools available to agribusiness managers to manage price risk and develop a framework for these managers to develop a price risk management strategy. In addition, you will be given an opportunity to utilize these tools through an online trading desk, to manage the price risk associated with wheat production.ᅠYou will be exposed to the various contracts that can be used to transfer risks, such as pools, forward contracts, hectare contracts, multi-grade contracts, futures, and options. We will also focus on in-class participation and assignments.

Course requirements

Incompatible

You can't enrol in this course if you've already completed the following:

ABUS3006

Jointly taught details

This course is jointly-taught with:

  • Another instance of the same course

This course shares content with MKTG3961 External, with activities and assessment to suit the mode. Blackboard is shared.

Course contact

Timetable

The timetable for this course is available on the UQ Public Timetable.

Additional timetable information

If you have any concerns regarding your official timetable or course allocations, or there are no suitable class times available, contact Faculty of Science Timetable science.mytimetable@uq.edu.au for advice. If you have any questions about missing class activities, please contact your course coordinator. 

Aims and outcomes

The aim of this course is to develop skills to formulate and manage an appropriate price risk management strategy for an agricultural commodity and evaluate the effectiveness of that price risk management strategy.

Learning outcomes

After successfully completing this course you should be able to:

LO1.

Critically analyse and identify the key factors contributing to price fluctuations in agricultural commodities, incorporating both macroeconomic and microeconomic perspectives.

LO2.

Demonstrate proficiency in conducting trading operations using commodity derivatives, focusing on strategic decision-making and execution in live market environments through an online trading desk.

LO3.

Acquire proficiency in employing essential risk management instruments available to agribusinesses, including pools, forward contracts, hectare contracts, multi-grade contracts, futures, and options, for mitigating price risk.

LO4.

Develop and apply hedging strategies utilising commodity derivatives to effectively manage and mitigate price risk associated with agricultural production, emphasising the practical application of theoretical concepts.

LO5.

Demonstrate how to trade and hedge using commodity derivatives

LO6.

 Effectively articulate and justify trading and hedging decisions and strategies in agribusiness, showcasing the ability to communicate complex concepts and outcomes clearly to both specialist and non-specialist audiences.

LO7.

Synthesise and demonstrate an in-depth understanding of all aspects related to agricultural price risk management and trading, including the causes of commodity price variation, the application of risk management tools, the development and implementation of management strategies, and the execution of trading and hedging operations. This encompasses the ability to integrate and apply this knowledge in a cohesive manner, showcasing analytical, strategic, and operational proficiency in managing and trading price risks within the agribusiness sector.

Assessment

Assessment summary

Category Assessment task Weight Due date
Presentation Trading Simulation Presentation (Group)
  • In-person
20%

3/04/2025

Commencing 2:00pm. The schedule will depend on the number of presentations scheduled for the day and might occur outside regular class hours. We will discuss all details in class to ensure everyone is informed.

Paper/ Report/ Annotation Hedging Simulation Report (Group)
  • Team or group-based
40%

30/05/2025 2:00 pm

Examination Final Examination
  • Hurdle
  • Identity Verified
  • In-person
40%

End of Semester Exam Period

7/06/2025 - 21/06/2025

A hurdle is an assessment requirement that must be satisfied in order to receive a specific grade for the course. Check the assessment details for more information about hurdle requirements.

Assessment details

Trading Simulation Presentation (Group)

  • In-person
Mode
Oral
Category
Presentation
Weight
20%
Due date

3/04/2025

Commencing 2:00pm. The schedule will depend on the number of presentations scheduled for the day and might occur outside regular class hours. We will discuss all details in class to ensure everyone is informed.

Task description

Group Presentation Instructions

Overview

Students will work in groups of 5 to prepare and deliver an 8-minute presentation that critically evaluates their speculating strategy and trading outcomes. Each group must ensure that all key aspects below are thoroughly addressed. The presentation should be well-structured, clear, and supported with relevant data and sources.

Presentation Content

Overview and Justification of Your Speculating Strategy

  1. Provide a clear summary of your trading strategy.
  2. Explain the rationale behind your approach—why did you choose this particular strategy?
  3. Discuss any initial assumptions or expectations you had about the market.

Outcome of Your Speculating Strategy

  1. Present the results of your speculating activity, including:
  2. Your final ranking compared to other groups.
  3. The total profit or loss achieved.
  4. A breakdown of profit/loss for each commodity traded.
  5. Use tables, charts, or graphs where appropriate to visually represent your data.

Key Factors Affecting Prices During the Trading Period

  1. Identify and analyse the major factors that influenced price movements for each commodity.
  2. Consider market trends, geopolitical events, supply and demand changes, economic data releases, weather conditions, and any other relevant factors.
  3. Support your analysis with credible sources and cite them properly.

Effectiveness of Your Trading Strategy

  1. Critically assess how well your strategy performed.
  2. Address the following questions:
  3. Did you achieve your initial goals? Why or why not?
  4. What aspects of your strategy worked well?
  5. What challenges did you face, and how did you address them?
  6. Which types of contracts (futures, options, etc.) performed best? Why?
  7. Did you take on excessive risk? If so, how did this impact your results?
  8. Provide reflections on what you would do differently if given another opportunity to trade.

Presentation Guidelines

  1. The presentation should be engaging, well-structured, and clearly delivered within the 8-minute limit.
  2. Use PowerPoint slides or other visual aids to enhance clarity and professionalism.
  3. Each group member should contribute meaningfully to the presentation.
  4. Ensure proper citation of all sources used in the analysis.

Assessment Criteria

Your presentation will be evaluated based on:

  1. Clarity and coherence of your trading strategy explanation.
  2. Depth of analysis and use of evidence to support your arguments.
  3. Quality and accuracy of your data presentation.
  4. Critical thinking and reflection on the effectiveness of your strategy.
  5. Engagement, teamwork, and overall delivery.

This task has been designed to be challenging, authentic and complex. Whilst students may use AI and/or MT technologies, successful completion of assessment in this course will require students to critically engage in specific contexts and tasks for which artificial intelligence will provide only limited support and guidance. A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct. To pass this assessment, students will be required to demonstrate detailed comprehension of their written submission independent of AI and MT tools.

Submission guidelines

Deferral or extension

You may be able to apply for an extension.

Late submission

A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.

Assessment deadlines are firm and must be met. Late submission without permission or non-submission of assessable work will result in penalties being applied. Late Presentations will only be granted for documented medical reasons, accident, bereavement, jury service and other circumstances allowed in the UQ Policies and Procedures Library (PPL).

Submission of an Extension of Assessment Due Date (EADD) should be completed online through your My Requests tab via my.UQ Dashboard before the due date of the assessment item.

Hedging Simulation Report (Group)

  • Team or group-based
Mode
Written
Category
Paper/ Report/ Annotation
Weight
40%
Due date

30/05/2025 2:00 pm

Task description

Students will collaborate in pairs or trios, having been engaged by a client to formulate a hedging trading strategy. The primary goal of this report is to outline the devised strategy and detail the outcomes of your team's efforts. Your report will showcase the strategic planning and implementation process, emphasising the anticipated and realised benefits of the hedging strategy to the client. Teams are expected to:

1. Demonstrate a comprehensive understanding of hedging strategies.

The report should clearly outline the hedging analysis and strategies of the hedging simulation, showcasing the team's knowledge of the subject matter. You are to report on both simulations (the new crop and the buyer’s game -these concepts will be explained in class).

2. Communicate findings and recommendations effectively to a diverse audience.

The report should be well-organised, visually engaging, and easily digestible for stakeholders from various backgrounds. The report should prioritise clear and concise language, using visuals such as charts, graphs, and infographics to illustrate key points.

OBJECTIVES: Each group will prepare a report that will address the following:

1.    Overview and justification of your overall hedging strategy.

2.    The outcome of your strategy.

3.    Analysis of the critical factors affecting prices over the trading period for each commodity.

4.    Analysis of the effectiveness of your trading strategy.

5.    What have you learned from this assessment?

This task has been designed to be challenging, authentic and complex. Whilst students may use AI and/or MT technologies, successful completion of assessment in this course will require students to critically engage in specific contexts and tasks for which artificial intelligence will provide only limited support and guidance.

A failure to reference generative AI or MT use may constitute student misconduct under the Student Code of Conduct.

To pass this assessment, students will be required to demonstrate detailed comprehension of their written submissions independent of AI and MT tools.

Submission guidelines

You must submit your Assessment task, in Blackboard, via the Turnitin link by the submission deadline. You should also retain an electronic copy of every piece of assessment you submit.

Legal Declaration: 

By submitting your work via this website, you formally declare that (1) it is your own original work, and no part of the work has been copied from any other source or person except where due acknowledgement is made; (2) no part of the work has been previously submitted for assessment in this or any other institution; and (3) you have read the Student Integrity and Misconduct Policy (https://policies.uq.edu.au/document/view-current.php?id=149) and understand its implications. 

Deferral or extension

You may be able to apply for an extension.

Late submission

A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.

Assessment deadlines are firm and must be met. Late submission without permission or non-submission of assessable work will result in penalties being applied. Late submission of assessment will only be granted for documented medical reasons, accident, bereavement, jury service and other circumstances allowed in the UQ Policies and Procedures Library (PPL).

Submission of an Extension of Assessment Due Date (EADD) should be completed online through your My Requests tab via my.UQ Dashboard before the due date of the assessment item.

Final Examination

  • Hurdle
  • Identity Verified
  • In-person
Mode
Written
Category
Examination
Weight
40%
Due date

End of Semester Exam Period

7/06/2025 - 21/06/2025

Task description

The structure of the exam will be discussed in Week 13 during the review.

The exam will be an on-campus exam. Students enrolled in in-person delivery must attend the exam in person. Have your UQ student ID card available for all your exams. 

This is a Closed Book examination - no written materials permitted. Any calculator is permitted.

This assessment task is to be completed in-person. The use of generative Artificial Intelligence (AI) or Machine Translation (MT) tools will not be permitted. Any attempted use of AI or MT may constitute student misconduct under the Student Code of Conduct.

Hurdle requirements

Students must pass the final exam and achieve an overall mark of 50% or greater to pass the course.ᅠ

Exam details

Planning time 10 minutes
Duration 120 minutes
Calculator options

Any calculator permitted

Open/closed book Closed Book examination - no written materials permitted
Exam platform Paper based
Invigilation

Invigilated in person

Submission guidelines

Deferral or extension

You may be able to defer this exam.

Course grading

Full criteria for each grade is available in the Assessment Procedure.

Grade Cut off Percent Description
1 (Low Fail) 0 - 34

Absence of evidence of achievement of course learning outcomes.

Course grade description: 0 - 34%

2 (Fail) 35 - 46

Minimal evidence of achievement of course learning outcomes.

Course grade description: 35% - 46%

3 (Marginal Fail) 47 - 49

Demonstrated evidence of developing achievement of course learning outcomes

Course grade description: 47% - 49%

4 (Pass) 50 - 64

Demonstrated evidence of functional achievement of course learning outcomes.

Course grade description: 50% - 64%

5 (Credit) 65 - 74

Demonstrated evidence of proficient achievement of course learning outcomes.

Course grade description: 65% - 74%

6 (Distinction) 75 - 84

Demonstrated evidence of advanced achievement of course learning outcomes.

Course grade description: 75% - 84%

7 (High Distinction) 85 - 100

Demonstrated evidence of exceptional achievement of course learning outcomes.

Course grade description: 85% - 100%

Additional course grading information

Course Grading Hurdle:

Students must passᅠthe final exam and achieve an overall mark of 50% or greater to pass the course.ᅠ

If a student obtains an overall percentage greater than the cut-offs set to achieve a 4 or higher for the course based on marks from a combination of progressive assessment and the final exam and the student does NOT score a passing mark in the final exam, they are unable to achieve a grade higher than a 3 (failing grade) for the course.

Supplementary assessment

Supplementary assessment is available for this course.

Should you fail a course with a grade of 3, you may be eligible for supplementary assessment. Refer to my.UQ for information on supplementary assessment and how to apply. 

Supplementary assessment provides an additional opportunity to demonstrate you have achieved all the required learning outcomes for a course.  

If you apply and are granted supplementary assessment, the type of supplementary assessment set will consider which learning outcome(s) have not been met.  

Supplementary assessment can take any form (such as a written report, oral presentation, examination or other appropriate assessment) and may test specific learning outcomes tailored to the individual student, or all learning outcomes. 

To receive a passing grade of 3S4, you must obtain a mark of 50% or more on the supplementary assessment. 

Additional assessment information

Please note the following when writing assignments

You must not re-use past work from previous assessments in your assignments.

Academic Integrity and Plagiarism

All reported work must be done by the individual student. Assignments that look and sound alike will be reported as plagiarism – a serious offence at UQ. Please note the university’s policy on academic integrity and plagiarism which can be accessed at Student Integrity and Misconduct Policy / Document / Policy and Procedure Library

TurnItIn Assignments

Assignments that are required to be submitted through TurnItIn, must only be uploaded to the assessment specific Turnitin link on the relevant course Blackboard site. If you submit any version of your assessment item to any alternative Turnitin link, this is considered cheating, and you will be held liable for this action.

Results 

Unless specifically indicated by the lecturer involved, every attempt will be made to have the results for progressive assessment tasks available within 3 weeks of submission. For items of assessment submitted in the last 2 weeks of the semester, the results will be available before the day of your end of semester examination in the course, unless otherwise indicated by the Course Coordinator. Results and feedback availability for progressive assessment will be announced via the course Blackboard site. 

Feedback in this course

Feedback is welcome in this course as any information on how students find this learning experience is constructive.

Please use the evaluation form provided to you at the end of semester - or if you are enrolled internally, a course evaluation process will occur in the last few weeks of semester.

Re-mark Applications – refer to the University's Re-mark Policy to check your eligibility

Learning resources

You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.

Library resources

Find the required and recommended resources for this course on the UQ Library website.

Other course materials

If we've listed something under further requirement, you'll need to provide your own.

Required

Item Description Further Requirement
MKTG3961 blackboard site http://learn.uq.edu.au/

Additional learning resources information

Students will be directed to journal articles and written case studies.

Learning activities

The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.

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Multiple weeks

From Week 1 To Week 13

Lecture

Lecture Series

In our course, you'll engage in three key activities: general lecture sessions, guest lectures from the industry, and trading simulation exercises. For a detailed timetable and to see how these activities are structured throughout the semester, please refer to the Blackboard site.

WEEK 1 (2-4 PM)

Course Overview and Introductory Lecture

This class is typically held before the start of the actual course and is intended to give students a general idea of what they can expect to learn throughout the course. The class will typically cover topics such as the course objectives, the overall structure of the course, the required materials and texts, the course schedule and assignments, the grading system, and the instructor's contact information. It may also include information on how to access online course materials, such as a course website or online learning platform. In addition to providing information about the course, a course orientation class may also provide an opportunity for students to meet the instructor and other students in the class, ask questions, and discuss any concerns they may have.

WEEK 2 (2-4 PM)

Introduction to Price Risk Management

The class will cover the basics of risk management including: (1) The definition and types of risk; (2) The process of risk identification; (3) The process of risk mitigation, including strategies for reducing or eliminating risks; and (4)The role of risk management in decision-making, including the importance of considering risk when making decisions and the use of risk management in strategic planning.

WEEK 3 (2-4 PM)

Fundamental vs Technical Analysis

This lecture covers fundamental and technical approaches to analyzing and trading commodities. In the fundamental analysis portion, students would learn about factors that affect supply and demand for commodities, such as weather patterns, geopolitical events, and economic indicators. In the technical analysis portion, students would learn about using charts and other technical indicators to identify trends and make trading decisions. They would also learn about different trading strategies and risk management techniques that can be used in commodity trading.

WEEK 4 (2-4 PM)

Price Variation and Pricing Alternatives

The lecture will provide a comprehensive understanding of the underlying reasons for commodity price variation, price components, market participants, commodity pools, the components of a forward contract, the prediction of forward prices, and the principles of a simple hedge using futures.

WEEK 5 (2-4 PM)

Understanding Futures (Part 1)

This lecture will cover the understanding of futures contracts in agricultural commodities, including the mechanics of trading, the use of futures as a risk management tool, and the impact of futures trading on the underlying physical market.

WEEK 6 (2-5 PM)

Trading Simulation Report Presentation

The presentation segment of the course offers students the opportunity to select and share a topic of their choice that pertains to their experiences in the trading simulation. This could range from discussing a specific strategy they employed, recounting a particularly successful or challenging trading experience, or sharing valuable tips and insights gleaned from their involvement in the simulation. This exercise encourages students to reflect critically on their learning journey, articulate their experiences, and contribute personal perspectives to the broader discussion. It's an invaluable part of the learning process, fostering a deeper understanding of trading dynamics and allowing for the exchange of diverse viewpoints and strategies among peers.

WEEK 7 (2-4 PM)

Understanding Futures (Part 2)

Continuation of the previous lecture.

WEEK 8 (2-4 PM)

Guest Lecture

(Details will be provided on Blackboard)

WEEK 9 (2-4 PM)

Options (Part 1)

This lecture will cover the basics of options trading and provide a comprehensive overview of the different types of options, their use, and the strategies that can be employed when trading options. It would cover the basic mechanics of options and the terminology used in options trading, such as calls, puts, strike price, and expiration date. Students would learn about the different types of options, such as American and European options, and their differences.

WEEK 10 (2-4 PM)

Options (Part 2)

Building on the previous lecture, this section will cover the various strategies that can be used when trading options such as buying calls and puts, covered calls, and spreads. Students would learn about the risks and rewards associated with each strategy and the situations in which they are most effective.

WEEK 11 (2-4 PM)

Guest Lecture

(Details will be provided on Blackboard)

WEEK 12 (2-5 PM)

Comparison of hedging tools

This lecture will recap and analyse the different tools and strategies available to farmers and agricultural producers to manage risk and hedge against price fluctuations in the agricultural markets.

WEEK 13 (2-5 PM)

Review Session

The final class session is dedicated to a comprehensive review to prepare you for the final exam. It’s also an opportunity to ask any last-minute questions about the report due the next day.

Multiple weeks

From Week 1 To Week 11

General contact hours

Trading Simulation

In our course, you'll engage in three key activities: general lecture sessions, guest lectures from the industry, and trading simulation exercises. For a detailed timetable and to see how these activities are structured throughout the semester, please refer to the Blackboard site.

WEEK 1 (4-5 PM)

Introduction to the trading and hedging simulation

This series of sessions is designed to offer a thorough understanding of trading in agricultural commodities using diverse trading platforms. Focused on equipping students with practical knowledge of agricultural futures and options, the trading simulation sessions are designed to not only acquaint learners with the fundamental mechanisms of these instruments but also to provide an engaging, hands-on experience. Students will gain invaluable insights into strategic trading practices, risk management and decision-making processes through interactive simulations and real-time market analysis. This comprehensive approach ensures a well-rounded learning experience, preparing students for active participation in the dynamic world of agricultural commodities trading.

WEEK 2 (4-5 PM)

Trading Simulation (Session 1)

These sessions are specially designed for students to become familiar with the trading platform, an essential step in their learning journey. During these sessions, the instructor will demonstrate example trades, providing a practical and clear understanding of how to navigate and utilise the platform effectively. Students are encouraged to actively engage by asking questions related to their own trading experiences. These interactive sessions serve as a preparatory ground for their upcoming presentations, allowing students to apply their learning, clarify doubts, and gain confidence. The aim is to ensure that students are well-prepared, both technically and conceptually, for their presentations, where they will showcase their trading strategies and insights.

WEEK 3 (4-5 PM)

Trading Simulation (Session 2)

These sessions are specially designed for students to become familiar with the trading platform, an essential step in their learning journey. During these sessions, the instructor will demonstrate example trades, providing a practical and clear understanding of how to navigate and utilise the platform effectively. Students are encouraged to actively engage by asking questions related to their own trading experiences. These interactive sessions serve as a preparatory ground for their upcoming presentations, allowing students to apply their learning, clarify doubts, and gain confidence. The aim is to ensure that students are well-prepared, both technically and conceptually, for their presentations, where they will showcase their trading strategies and insights.

WEEK 4 (4-5 PM)

Trading Simulation (Session 3)

These sessions are specially designed for students to become familiar with the trading platform, an essential step in their learning journey. During these sessions, the instructor will demonstrate example trades, providing a practical and clear understanding of how to navigate and utilise the platform effectively. Students are encouraged to actively engage by asking questions related to their own trading experiences. These interactive sessions serve as a preparatory ground for their upcoming presentations, allowing students to apply their learning, clarify doubts, and gain confidence. The aim is to ensure that students are well-prepared, both technically and conceptually, for their presentations, where they will showcase their trading strategies and insights.

WEEK 5 (4-5 PM)

Trading Simulation (Final Session)

These sessions are specially designed for students to become familiar with the trading platform, an essential step in their learning journey. During these sessions, the instructor will demonstrate example trades, providing a practical and clear understanding of how to navigate and utilise the platform effectively. Students are encouraged to actively engage by asking questions related to their own trading experiences. These interactive sessions serve as a preparatory ground for their upcoming presentations, allowing students to apply their learning, clarify doubts, and gain confidence. The aim is to ensure that students are well-prepared, both technically and conceptually, for their presentations, where they will showcase their trading strategies and insights.

WEEK 6 (2-5 PM)

Trading Simulation Report Presentation

The presentation segment of the course offers students the opportunity to select and share a topic of their choice that pertains to their experiences in the trading simulation. This could range from discussing a specific strategy they employed, recounting a particularly successful or challenging trading experience, or sharing valuable tips and insights gleaned from their involvement in the simulation. This exercise encourages students to reflect critically on their learning journey, articulate their experiences, and contribute personal perspectives to the broader discussion. It's an invaluable part of the learning process, fostering a deeper understanding of trading dynamics and allowing for the exchange of diverse viewpoints and strategies among peers.

WEEK 7 (4-5 PM)

Hedging Simulation (Session 1)

This series of hedging simulation sessions is tailored to provide an in-depth understanding of hedging activities in the agricultural commodities market. Emphasising practical application, these sessions are designed to equip students with essential knowledge and skills in implementing hedging strategies using agricultural futures and options. The focus is on familiarising learners with the core principles and techniques of hedging, enabling them to manage price risk effectively in the volatile world of agricultural commodities.

WEEK 8 (4-5 PM)

Hedging Simulation (Session 2)

This series of hedging simulation sessions is tailored to provide an in-depth understanding of hedging activities in the agricultural commodities market. Emphasising practical application, these sessions are designed to equip students with essential knowledge and skills in implementing hedging strategies using agricultural futures and options. The focus is on familiarising learners with the core principles and techniques of hedging, enabling them to manage price risk effectively in the volatile world of agricultural commodities.

WEEK 9 (4-5 PM)

Hedging Simulation (Session 3)

This series of hedging simulation sessions is tailored to provide an in-depth understanding of hedging activities in the agricultural commodities market. Emphasising practical application, these sessions are designed to equip students with essential knowledge and skills in implementing hedging strategies using agricultural futures and options. The focus is on familiarising learners with the core principles and techniques of hedging, enabling them to manage price risk effectively in the volatile world of agricultural commodities.

WEEK 10 (4-5 PM)

Hedging Simulation (Session 4)

This series of hedging simulation sessions is tailored to provide an in-depth understanding of hedging activities in the agricultural commodities market. Emphasising practical application, these sessions are designed to equip students with essential knowledge and skills in implementing hedging strategies using agricultural futures and options. The focus is on familiarising learners with the core principles and techniques of hedging, enabling them to manage price risk effectively in the volatile world of agricultural commodities.

WEEK 11 (4-5 PM)

Hedging Simulation (Final Session)

This series of hedging simulation sessions is tailored to provide an in-depth understanding of hedging activities in the agricultural commodities market. Emphasising practical application, these sessions are designed to equip students with essential knowledge and skills in implementing hedging strategies using agricultural futures and options. The focus is on familiarising learners with the core principles and techniques of hedging, enabling them to manage price risk effectively in the volatile world of agricultural commodities.

Policies and procedures

University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:

Learn more about UQ policies on my.UQ and the Policy and Procedure Library.