Code and description for Emerging Markets Review publication "Oefele, Baur, and Smales (2025) The Effect of Currency Risk on Crypto Asset Utilization in Türkiye"
Description
The attached files enable the full replication of the empirical analysis. All .ipynb files ending in _retrieve contain the code for retrieving data via the respective APIs. We manually obtained the total global crypto asset market capitalization, as well as the market capitalization of each individual cryptocurrency and stablecoin, from CoinGecko. The data is stored as individual .csv files, which are imported into the .ipynb files. Additionally, we retrieve the following daily variables from DataStream: the TRY/USD exchange rate, MSCI World Index, TR2YT, US2YT, BIST 100, and S&P 500. The dummy variable indicating month-to-month inflation shocks exceeding 5% is based on the file AppendixB_Türkiye_Inflation_figures_CSV_format.csv. The data in this file was manually obtained from the website of the Central Bank of the Republic of Türkiye (CBRT). Descriptive statistics and empirical analysis are conducted in Stata. All figures are generated using the .ipynb file P3_Code_Python_figures. Note that the categorization used in the published paper (MegaCap, LargeCap, MidCap), which follows FINRA’s classification of stocks by market capitalization, differs from the terminology in the code (LargeCap, MidCap, SmallCap). This discrepancy is purely nominal and does not affect the results.