Overview
Project: Comparative Textual Analysis of Financial Statements
Objective: Analyze and compare at least two financial statements using textual analysis techniques to identify differences across years or firms.
Instructions:
- Data Selection:
- Choose either: a) Two annual reports from the same company for different years, or b) Annual reports from two different companies for the same year
- Focus on one of the sections (e.g., Item 7 Management Discussion & Analysis (MD&A) section or other sections you are interested in)
- Analysis Techniques: Perform at least three of the following analyses: a) Word Cloud Generation b) Sentiment Analysis c) Term Frequency Analysis d) Word Count e) Keyword Occurrence Count
Specific Steps:
- a) Word Cloud:
- Generate a word cloud for each document
- Identify the most prominent words in each
- Compare the prominent themes across documents
- Use the sentiment analysis codes to assess the overall tone
- Compare the positive, negative, and neutral sentiment scores
- List the top 20 most frequent terms in each document
- Compare the lists, noting differences in frequently used terms
- Count the total number of words/numbers in each document
- Compare the lengths and consider potential reasons for differences
- Select several keywords relevant to the company's industry or current events
- Count the occurrences of these keywords in each document
- Compare the frequency of keyword usage
- Analysis and Interpretation:
- For each analysis technique, explain the differences you observe
- Consider potential reasons for these differences, such as:
- Changes in company performance or strategy
- Economic conditions
- Industry trends
- Regulatory changes
- Management changes
- Different business models (if comparing different companies)
- Conclusion:
- Summarize the key differences identified through your analysis
- Discuss what these differences might reveal about the company's situation, performance, or communication strategy
- Reflect on the strengths and limitations of each analysis technique
- Required deliverables: a report with three pairs of graphs/tables using at least three of the following analyses: a) Word Cloud Generation b) Sentiment Analysis c) Term Frequency Analysis d) Word Count e) Keyword Occurrence Count.
You are welcome to use generative AI tools to assist with coding; however, all charts must be generated using Python, not AI-generated images. At this stage, many tools (like ChatGPT) may not produce accurate visualizations!!!!!!!
Resources for Project - Managerial incentives and reporting
Welcome to our exploration of managerial incentives and their impact on financial reporting. This module is designed to equip you with both theoretical knowledge and practical skills for analyzing financial statements through the lens of managerial motivations.
1. Lecture Video: Managerial Incentives and Reporting Watch here: https://SDSU.zoom.us/rec/share/L9JSnxRMxpzHo4cIuqNwDT9ZW9OOiRrhLerLyhVEv-x5bEowKEM8OCG-Aol2HyP9.Q3UTFqZ24vay-pAU?startTime=1720211698000 This video provides an overview of how managerial incentives can influence financial reporting practices.
2. Sample Code Repository: Access here: https://colab.research.google.com/drive/1fHpv6rIv6... This repository contains sample Python code for various text analysis techniques we'll be using in our project.
3. Code Demonstration Video: Watch here: https://SDSU.zoom.us/rec/share/A8odT6QTZQ0jB9X2HE6D93mEuHZmaAeocAM52Fs7mWwvo1bIzuqy8_OGjrkN2Q23.lrnwP4tmUhOzzTqY?startTime=1720203722000 This video walks you through practical examples of how to implement the textual analysis techniques using the Python from above. Note that the sample code might be updated (whenever there is a software package update) and be different from the one shown in the video. Always use the latest sample code.
Project Focus: All these materials are designed to support you in completing your individual project and preparing your presentation.
Next Steps:
- Watch the lecture video to understand the theoretical background
- Review the sample code repository to familiarize yourself with the analysis techniques
- Follow along with the code demonstration video to practice implementing these techniques
- Begin your individual project, applying these skills to real financial statements
Remember, the goal is not just to run the analyses, but to interpret your findings in the context of managerial incentives and their potential impact on financial reporting.
ALSO PLS NOTE THAT THIS ASSIGNMENT WILL BE SUBMITTED THROUGH TURNITIN.COM SO NO PLAGERISM WHAT SO EVER!!!! AND IT CAN DETECT AI AS WELL!!!!
Second part of this assignment: Presentation Transcript Creation
After you complete your comparative textual analysis and prepare your report, you also need to create a transcript for a presentation. This transcript will guide your delivery during your presentation and ensure you stay organized and within the time limit.
Requirements for the Presentation Transcript:
- Purpose: Present your analysis effectively and concisely within a 12-minute time frame.
- Format: Write out the transcript as if you are speaking directly to an audience.
- Content: The transcript should include all sections below and be clear enough that you (or a teammate) could read it aloud smoothly.
Present your comparative textual analysis of financial statements effectively and concisely within a 12-minute time frame, together with your teammate if you would like.
Structure:
- Introduction (1 minute)
- Briefly introduce yourself
- State the companies/years you analyzed and why you chose them
- Methodology (2 minutes)
- Explain how you collected and processed the data
- Briefly describe each analysis technique you used
- Key Findings (6 minutes)
- Present the most significant results from each analysis technique
- Use visual aids (charts, word clouds, etc.) to illustrate your points
- Highlight the main differences you found between the statements
- Limit yourself to 1-2 slides per analysis technique
- Interpretation (2 minutes)
- Explain possible reasons for the differences you observed
- Discuss potential implications for investors or other stakeholders
- Conclusion (1 minute)
- Summarize your main findings
- Reflect on the strengths and limitations of your analysis
So the transcript will need to consist of all of the five main points I just listed above