Internship Research
Il y a 2 mois
Paris, 75, FR
**ABOUT CFM**:
We value innovation, dedication, collaboration, and the ability to make an impact. Together, we create a stimulating environment for talented and passionate experts in research, technology, and business to explore new ideas and challenge existing assumptions.
**Objective**:
The internship aims to replicate and extend the findings from the paper "Does Peer-Reviewed research Help Predict Stock Returns?" by analyzing all fundamental ratios, assessing their correlation structure and learning which ones are relevant.
**Scope of Work**:
Interns will engage in the following activities:
- **Paper Replication**: Manipulate data in Pandas to compute the fundamental ratios. Use Machine Learning methods to learn relevant ratios.
- **Extension**: Understand the mode space of fundamental ratios via Principal Component Analysis and other methods.
**Required Skills and Qualifications**:
- Pursuing a masters degree in Finance, Economics, Data Science, or a related field
- Familiarity with financial analysis and data management tools
- Basic understanding of machine learning concepts
- Proficiency in Python or similar programming languages for data analysis
**Expected Outcomes**:
- A comprehensive report on the replication of the paper "Does Peer-Reviewed research Help Predict Stock Returns?"
- Deeper insights into fundamental ratios
**Duration**:
5 to 6 months - Flexible starting date
**Reference**:
**EQUAL OPPORTUNITIES STATEMENT**:
We are continuously striving to be an equal opportunity employer and we prohibit any discrimination based on sex, disability, origin, sexual orientation, gender identity, age, race, or religion. We believe that our diversity, breadth of experience, and multiple points of view are among the leading factors in our success.
CFM is a signatory of the Women Empowerment Principles.
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