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econometric-analysis

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An econometrics vector autoregression model (VAR) for analysis of multivariate time series of macroeconomics phenomena. Python Jupyter notebook based model is presented here although other packages like R statistical programming language with R Studio could also be used.

  • Updated Jul 2, 2021
  • Jupyter Notebook

Multivariate time series Vector Autoregression Model (VAR) on real world GDP and DPI (and some other indexes). Bayesian Structured Time Series (BSTS).

  • Updated Aug 16, 2022
  • Jupyter Notebook

Coding projects I have worked on, in R and Python. Predominantly includes utilizing code to recreate the Black Sholes Model, Greek Option calculator, Stochastic Process and Brownian Motion and other data science applications for finance. Python was also used primarily for machine learning applications in finance, using various functions from skl…

  • Updated May 27, 2022
  • Jupyter Notebook

Files to reproduce my Ph.D. thesis, entitled "Carry trade effects in developed and developing countries: the cases of Switzerland and Brazil". This thesis was defended on February 15, 2022 at the Univ. Grenoble Alpes (UGA). I finished the Ph.D. programme in Economis in the Centre for Research in Economics in Grenoble (CREG), which is linked to t…

  • Updated Aug 5, 2025
  • HTML

Data about 5,634 married women (out of which 3,286 are reported being in the labor force) is taken from the Wooldridge Current Population Survey (CPS91) Database for Wage/Income analysis. There are 24 variables that give information about married women, their husbands, their demographics, if they belong to any unions, or are a part of labor forc…

  • Updated Sep 25, 2020
  • Jupyter Notebook

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