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A portfolio optimization using negatively and positively screened equity data from Refinitiv, focusing on carbon credit offsets and generation.

License: Creative Commons Zero v1.0 Universal

Python 26.16% Stata 73.84%

ccf-portfolio-optimization's Introduction

CCF-Portfolio-Optimization

A portfolio optimization using negatively and positively screened equity data from Refinitiv, focusing on carbon credit offsets and generation.

Data Description

  • Data is screened using Refinitiv's Screener app, applying both positive and negative screening techniques.
  • Adjusted time series returns are downloaded from Yahoo Finance

Methods

  • Python script is used to convert company names for screened Refinitiv data to Yahoo Finance tickers. The final tickers are stored in a .txt file.
  • Use of getsymbols package in Stata to downloaded the tickers from Yahoo Finance
  • Use of cmline of mvport package to generate the capital market line an efficient frontier. For more details and options available, see Carlos Alberto Dorantes.

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