Literature Review 1

Exploring Applications of Neural Networks in Financial Forecasting

Objective:

Students will conduct a literature review using Google Scholar to explore how Neural Networks are applied in financial forecasting. The goal is to understand the current state-of-the-art techniques and identify trends and gaps in the research.

Instructions:

1. Research Question Formulation: Define a specific research question, such as “How are Neural Networks used for stock price prediction?”
2. Literature Search: Conduct a comprehensive search for academic papers, articles, and reports on the application of Neural Networks in financial forecasting.
3. Source Evaluation: Evaluate the credibility and relevance of the sources, selecting those that provide significant insights into the research question.
4. Synthesis: Summarize the key findings from the literature, identifying common techniques, trends, and areas for future research.
5. Critical Analysis: Critically analyze the strengths and weaknesses of the current approaches, discussing potential improvements and innovations.
6. Reporting: Write a literature review report following the Literature Review Guidelines, including an introduction, methodology, findings, discussion, and conclusion.

Submission Instructions:

• Format: .pdf or .docx format
• Title Page: Include your name, student ID, course name, and assignment title.
• Introduction: Present your specific research question and the motivation behind it.
• Methodology: Describe how you conducted your literature search (e.g., keywords used, selection criteria, databases like Google Scholar).
• Findings: Summarize major findings from the selected sources, including common neural network techniques, datasets, and results.
• Discussion: Critically analyze the strengths, weaknesses, and gaps in the existing research. Highlight emerging trends or conflicting results.
• Conclusion: Summarize insights and suggest areas for future research.
• References: Include a properly formatted reference list (APA, MLA, or IEEE style is acceptable; choose one and be consistent).

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