Dataframe: P04:strip_prices -#
Target strip-price series used in return construction. For each month, the pipeline selects the paper-style target expiration date and estimates one strip price using put-call parity and the option-implied interest rate.
DataFrame Glimpse#
Rows: 348
Columns: 5
$ date <datetime[ns]> 2024-12-31 00:00:00
$ exdate <datetime[ns]> 2026-06-18 00:00:00
$ strip_price <f64> 68.4027796539026
$ tau <f64> 1.463013698630137
$ r_implied <f64> 0.044359020299570014
Dataframe Manifest#
Dataframe Name |
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Dataframe ID |
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Data Sources |
Derived from clean_options and implied_rates |
Data Providers |
Internal pipeline |
Links to Providers |
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Topic Tags |
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Type of Data Access |
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How is data pulled? |
Constructed by calc_strip_prices.py. |
Data available up to (min) |
2024-12-31 00:00:00 |
Data available up to (max) |
2024-12-31 00:00:00 |
Dataframe Path |
/Users/jielin/Desktop/full_stack/p04_golez_jackwerth_2024/_data/calc/strip_prices.parquet |
Linked Charts:
None
Pipeline Manifest#
Pipeline Name |
Holding Period Effects in Dividend Strip Returns |
|---|---|
Pipeline ID |
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Lead Pipeline Developer |
Jie Lin and Zimeng Yi |
Contributors |
Jie Lin, Zimeng Yi |
Git Repo URL |
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Pipeline Web Page |
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Date of Last Code Update |
2026-03-16 00:21:10 |
OS Compatibility |
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Linked Dataframes |
P04:crsp_sp500_daily |