FIT5159: IT for Financial Decisions - Stock Selection and Investment Analysis - Accounting and Finance Assignment Help

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Assignment Task:

Overview:

This is a group assignment that requires the collaborative efforts of 3 or 4 students per group. Students must form their group within the same tutorial class and elect a group leader to coordinate this assignment. The group leader must inform the tutor during Week 7 tutorial (or latest by Week 8) of the group members. Once confirmed, no change of group member is allowed without prior approval from the FIT5159 lecturer. The group leader must also get approval from the tutor of the chosen stock exchange market and industry by Week 8.

About half an hour will be allocated at the end of each of Week 8, 9, 10, and 11 tutorials for group members to come together to discuss and work on the assignment. Every student in the group is required to actively participate and the participation mark will be included in the 5% tutorial marks and would also be used as a basis for marks adjustment for the final score (if necessary).

Learning Objective:

This assignment will teach students how to design an empirical test of a “Decision Support System”, based on AHP (Analytic Hierarchy Process) framework, which can be used for the selection of stocks (financial assets) and the associated investment decision analysis. At the completion of this assignment, students should be able to:

1. Innovatively use Excel and Super Decisions software for designing a decision support system of financial decision analysis.

2. Formulate the stock selection and investment analysis problem for a given industry in competitive financial capital markets.

3. Demonstrate on the use of financial analytics and the choice of associated criteria and justifications.

4. Preparation of a group report and a presentation that should include:

  • Introduction (background and motivation).
  • Stock selection problem formulation using AHP framework.
  • Discussion of methodology used to establish the goals, sub-goals, weights for each intrinsic, extrinsic, and investors’ objectives criteria and relative priorities.
  • Discuss the limitations of AHP and the need to represent investment criteria using Analytic Network Processing (ANP) framework and fuzzy logic. (Note: Discussion only and you do not need to demonstrate other techniques or framework).

Scope:

Each group of students is to apply the Analytic Hierarchy Process (AHP) based decision support system to explore investor behaviour, extrinsic and intrinsic factors in the evaluation, and selection and ranking of three or four listed alternative stocks in a security exchange market (e.g. ASX) from one industry (such as Telecommunication, Mining, Retail, Energy, Property, and others). You must make sure that the three or four stocks chosen must be from the same industry and same market. However, your choice is not limited to the local market only.

The evaluation framework facilitates the selection of stock/firm and their investment analysis using multi-criterion decision-making criteria discussed in lectures 7, 8, and 10 (in particular Lecture 7). The pair-wise comparison procedure should be based on appropriate criteria (at least two groups of factors for each class of investor behaviour/objectives, intrinsic and extrinsic factors; and at least two criteria for each group of factors).

The framework captures individual behaviour and perceptions in a changing environment, in the form of judgments of investment criteria and stock alternatives arising from experience. The present perceptive and intuitive evaluation approach has managerial implications because it represents a useful addition to asset selection and investment analysis.

The deliverable will be a group report and a presentation comprising information that complies with the assessment criteria stated. In doing this group assignment, students will appreciate the roles and carry out the necessary tasks of applying the three principles (constructing hierarchies, establishing priorities, and logical consistency) of AHP.

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