Defend a Quantitative Factor Research Project

# Defend a Quantitative Factor Research Project Choose a quantitative research project you have worked on and explain its factor construction, information coefficient, model choice, and validation. Be prepared to justify each mathematical step and distinguish research backtests from actual trading evidence. Explain what you would investigate or improve with more time. No particular factor or project result is assumed. ### What a Strong Answer Covers - An explicit factor definition and the information available at each prediction time. - A precise information-coefficient definition, including return horizon and correlation convention. - A model choice tied to the research problem and credible out-of-sample validation. - An honest account of live evidence, trading frictions, and the next research priority. ```hint Align the timestamps Trace when each factor input was observable and when the return used to evaluate it begins. ``` ### Follow-up Questions - What can a positive information coefficient tell you, and what can it not tell you about profitability? - How would you choose between refining the factor and changing the prediction model?