Quantitative Research Paper
Forecasting 101: Lasso and Ridge Regressions
Summary
We are excited to introduce the Technical Series in Statistics and Econometrics from our Quantitative Research Division!
This semester, our Quantitative Research team will produce a series of three papers, each exploring econometric models used to forecast house prices in California. The first paper will focus on LASSO and Ridge regressions—two popular regularization techniques in linear regression. It will delve into the theory behind these models and apply them to a dataset containing various features of California homes, all in an effort to better forecast house prices.
Authors
- Federico LazzariniHead of Quantitative Research
- Anyi XieQuantitative Research Analyst
Details
- Published
- 18 November 2024
- Division
- Quantitative Research
- Type
- Quantitative Research Paper
- Pages
- 6
- Authors
- 2
Cite this report
Minerva Investment Management Society (2024). Forecasting 101: Lasso and Ridge Regressions. Quantitative Research. https://minervaims.org/archive/forecasting-101-lasso-and-ridge-regressions-2024
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