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astraetech's Projects

ipo-review-chapter icon ipo-review-chapter

Explanation of IPO data extraction from SDC Platinum, data cleaning and matching with CRSP

lights_to_cities icon lights_to_cities

R code implementing the Dingel-Miscio-Davis algorithm to construct metropolitan areas by aggregating finer geographic units on the basis of contiguous areas of light in nighttime satellite images

mantech icon mantech

quizzes from ManTech developed using R-Exams

mycstlink icon mycstlink

SAS program that creates a file that links CRSP Permno and Compustat GVKEY following method described in Beaver, McNichols, and Price (2007)

ndc_map icon ndc_map

Mapping U.S. FDA National Drug Codes (NDC) to Drug Classes and Codes

night-owlish icon night-owlish

πŸŒ™πŸ¦‰ An RStudio, tmThemes, and Ace editor adaptation of @sdras' Night Owl VS Code theme…

optionm icon optionm

This project quantifies the changes in realised and implied volatility over time and investigates profitability of options in top 100 US stocks.

pca icon pca

Automated Principal Components Analysis (PCA) based on the R package factominer.

polygon icon polygon

A repository of code that interacts with the polygon.io API

refillama icon refillama

This is a package to access the DeFiLlama API

sas icon sas

SAS Scripts Repository for Open Source

sas-1 icon sas-1

All things SAS related (programs, macros, presentations, etc)

sas-global-forum-2020 icon sas-global-forum-2020

Code and examples that accompany papers and presentations from SAS Global Forum 2020 (Mar 29 - Apr 1 in Washington, DC)

sas-prog-for-r-users icon sas-prog-for-r-users

Teaching and lab materials for the "SAS Programming for R Users" course, including course notes, data, and code.

sas_packages icon sas_packages

various SAS packages (macros, codes, datasets) I'm using during work with SAS

sigma_coding_youtube icon sigma_coding_youtube

This is a collection of all the code that can be found on my YouTube channel Sigma Coding.

statistical-computing icon statistical-computing

Work related to statistical learning, computational statistics and applications to finance.

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