Predicting public market behavior from private equity deals
By Paolo Barucca, Flaviano Morone
Rating
1344
Battle Count: 96
Relevance
8/10
Provides a novel approach to predicting market returns using private equity data, which could be valuable for quantitative trading strategies
Implementation Complexity
6/10
Requires access to specialized private equity data and implementation of logistic regression models, but overall methodology is straightforward
Reproducibility
3/5
Data source (FactSet) is mentioned but not freely available. Methodology is well-described but exact implementation details are not provided.
About this paper
Methodology: Logistic Regression. Problem types: Classification, Time Series Forecasting.
The interactive Everscope explorer (charts, battles, favorites) loads below.