Dataframe: P01:ken_french_ff_factors - Fama-French Research Factors#
Monthly Fama-French factors (Mkt-RF, SMB, HML, RF) and aggregate market return. Used to construct the target variable (log market return) for the three-pass regression filter. Covers 1926 to present.
DataFrame Glimpse#
Rows: 1140
Columns: 5
$ Mkt <f64> -2.8
$ Log_Mkt <f64> -0.028399474521698
$ Mkt-RF <f64> -3.17
$ RF <f64> 0.37
$ Date <datetime[ns]> 2024-12-01 00:00:00
Dataframe Manifest#
Dataframe Name |
Fama-French Research Factors |
|---|---|
Dataframe ID |
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Data Sources |
Kenneth French Data Library |
Data Providers |
Kenneth French |
Links to Providers |
https://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html |
Topic Tags |
Fama-French, Market Returns, Factors |
Type of Data Access |
P,u,b,l,i,c |
How is data pulled? |
pandas_datareader / direct HTTP download |
Data available up to (min) |
2024-12-01 00:00:00 |
Data available up to (max) |
2024-12-01 00:00:00 |
Dataframe Path |
C:\Users\Zara\Documents\GitHub\FINM-Winter\full-stack-quant\p01_kelly_pruitt_2013_data\Market_Returns.parquet |
Download Data as Parquet |
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Download Data as Excel |
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Linked Charts |
Pipeline Manifest#
Pipeline Name |
Market Expectations in the Cross-Section of Present Values |
|---|---|
Pipeline ID |
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Lead Pipeline Developer |
Zara and Dylan |
Contributors |
Zara, Dylan |
Git Repo URL |
|
Pipeline Web Page |
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Date of Last Code Update |
2026-03-05 23:55:41 |
OS Compatibility |
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Linked Dataframes |
P01:crsp_monthly_stock |