Dataframe: P01:shiller_processed_annual_series - Robert Shiller Annual Stock Market Data#
Overview#
File:
_data/processed_data/shiller_data_annual.parquetSource: Derived from
shiller_market_variables, itself pulled from Robert Shiller’s data websiteGenerated by:
pull_shiller.pyFrequency: Annual (year-end / December value of each year)
Index:
date
This file documents the columns found in shiller_data_annual.parquet, generated by process_shiller_annual from the raw monthly series pulled by pull_shiller.py.
Column Dictionary#
Column |
Description |
|---|---|
sp500_price |
S&P Composite nominal price index, year-end (December) value. |
dividend |
S&P Composite nominal dividend, year-end (December) value. |
pe10 |
Shiller’s cyclically adjusted price-earnings ratio (CAPE / P/E10), year-end (December) value. |
ln_pe10 |
Natural log of |
DataFrame Glimpse#
Rows: 97
Columns: 5
$ sp500_price <f64> 6853.025454545453
$ dividend <f64> 79.52
$ pe10 <f64> 39.58164099324255
$ ln_pe10 <f64> 3.6783653994777437
$ date <datetime[ns]> 2025-12-31 00:00:00
Dataframe Manifest#
Dataframe Name |
Robert Shiller Annual Stock Market Data |
|---|---|
Dataframe ID |
|
Sources |
Robert Shiller’s Data Website |
Providers |
Robert Shiller |
Provider Links |
|
Tags |
Processed Data, Stock Market, Shiller |
Access Types |
Public |
How is data pulled? |
Derived from |
Data available up to (min) |
2025-12-31 00:00:00 |
Data available up to (max) |
2025-12-31 00:00:00 |
Dataframe Path |
C:\Users\fraff\OneDrive\Documentos\UChicago\FINM_32900_Full_Stack_Quantitative_Finance\Project\p03_lopez_salido_stein_zakrajsek_2017_data\processed_data\shiller_data_annual.parquet |
Linked Charts:
Pipeline Manifest#
Pipeline Name |
Credit-Market Sentiment and the Business Cycle |
|---|---|
Pipeline ID |
|
Maintainer |
Fernando Raffo, Bangjie Xu |
Contributors |
Fernando Raffo, Bangjie Xu |
Repository |
|
Pipeline Web Page |
|
Date of Last Code Update |
2026-08-19 22:04:54 |
OS Compatibility |
Windows, Linux, MacOS |
Linked Dataframes |
P01:fred_macroeconomic_variables |