ACC102
2nd SEMESTER 2024-25
Assessment of Part B (Financial Analysis)
BA Accounting – Year 2
Final
· Objective
Students will work in groups (4 students per group) to design and implement AI agent(s) that automatically generate the content of a company valuation report. The report must include the same sections as the previous years’ ACC102 assignment:
· Introduction and Company Background
· Industry Analysis and Corporate Strategy Analysis
· Financial Analysis (using financial statements and other public data)
· Financial Modelling and Equity Valuation
Instead of manually writing these sections, students must develop:
· One comprehensive AI agent that can generate all report sections, or
· Multiple specialized AI agents where each agent is responsible for one or more specific parts of the report (e.g., data collection, analysis, or visualization).
Additional submissions must include:
· AI Agent(s) Link: A live link or repository URL where the AI solution can be accessed.
· User Manual (in the format of video demo): A detailed guide explaining how to operate the AI agent(s).
· Product Report for Investors (in the format of ppt): A concise document targeting potential investors that outlines the AI solution’s capabilities (function), the underlying methodology (detailed prompts and plugins), and key financial insights.
The assignments related to the final project are listed as follows. The submission deadline for all the parts is 23:59 pm 25th May 2025.
· Assignment Requirements
1. AI Agent(s) Development
o Design Options:
§ A single integrated AI agent that automatically produces the entire company valuation report (including industry and company analysis, financial analysis, and valuation model), or
§ Multiple specialized AI agents where each one generates a specific section of the report (e.g., one agent for data collection, another for analysis, etc.).
o Functional Requirements:
§ Data Collection: Automate retrieval of financial and non-financial data (e.g., from WRDS, Yahoo Finance).
§ Data Processing & Analysis: Process the data and perform. financial analysis and modelling.
§ Visualization: Generate charts and graphs as needed.
§ Report Generation: Compile the outputs into the standard valuation report format.
o Submission:
§ Provide a functional link (or repository URL) to your AI agent(s).
2. User Manual:
o A clear guide detailing how to use the AI agent(s) to generate the results.
o Submission: a video demo
3. Product Report for Investors:
o A document aimed at potential investors that highlights the AI solution’s benefits (function), its underlying methodology (prompts and plugins), market potential, and the sample valuation report generated by the AI.
o Submission: a ppt
4. Peer Review
o Each student will complete a confidential peer review to assess individual contributions.
o Impact on Mark: 40% of the final individual mark is determined by the peer review scores. Students who do not review their team members will receive a penalty of 50% of their peer review score.
o The peer review is based on five criteria, as described in Appendix B.
o Example Calculation:
If the group receives an 80% for the group assignments (AI Agent(s), User Manual, and Product Report for Investors) and a student’s peer review score is 85%, then the final individual mark is calculated as:
Part B Final Mark = (80% * 60% + 80% * 40% * 0.85) * 95% + BMC(Pass:5%, Fail:0)
= 71% + 5% if pass BMC or 0% therwise = 76% if pass BMC or 71% otherwise
Appendix C describes how peer review scores are derived.
· Assessing assignment
The total mark for Part B is 100%, and Part B contributes 60% to the final module mark. 95% of the individual’s Part B mark is based on the overall group assignment mark, and 40% of this is adjusted by the peer assessment. 5% of the individual’s Part B mark is based on the BMC certificate.
The group assessment will be marked as follows: FAIL 0-39
ADEQUATE 40-49
SATISFACTORY 50-59
GOOD 60-69
VERY GOOD 70-79
EXCELLENT TO OUTSTANDING 80+
· Evaluation Criteria
Appendix A is the Assessment form. for the group assessment.
The allocation of marks to the group assessment is as follows:
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Criteria
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Marks
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AI Agent Design and Functionality
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§ Effectiveness of automation in generating each section of the report.
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15
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§ Innovation in prompt design and workflow integration.
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15
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Report Quality and Presentation
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§ Clarity of the AI-generated results.
|
10
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§ Structure and the professional presentation of the AI-generated results.
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10
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Financial Analysis and Interpretation
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§ Depth of financial analysis, and accuracy of financial modelling
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10
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User Manual
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§ Completeness, clarity, and usability of the user manual.
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10
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Investor Report
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§ Completeness, clarity, and usability of the ppt
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30
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