Below you will find pages that utilize the taxonomy term “R”
Post
WIG index volatility modelling
This project is about volatility models comparison, you can expect:
working on the real market data (from stooq.pl) time series data EDA (logarithmic returns transform, realization plots, ACFs, PACFs, descriptive statistics) statistical tests (ARCH LM, Jarque-Bera) GARCH modelling with prior assumptions about epsilon distribution (hypotheses) 4 GARCH models (standard, exponential, threshold, component) with 4 different epsilon distributions each (normal, t-student, skewed t-student, generalized error) 3 naive models (random walk, historical average, moving average) 9 performance metrics (ME, MAE, RMSE, AMAPE, TIC, MME(U), MME(O), DCP, DCPU) quality paper-style report in Polish GitHub repository
Post
German real estate modelling with quantile regression
This project is about hedonic price model for different price distribution quantiles (German real estate) estimation, you can expect:
short data analysis (dependent variable distribution and its moments) data transforms (logarithm, ordinal, nominal transforms) standard hedonic price model estimation (OLS) statistical tests (Jarque-Bera, White) outliers detection (Cook’s distance, standarized and studentized residuals) quantiles hedonic price models estimation (with bootstraped covariance matrix - 999 replications) extremely interesting Beta coefficients estimates vs price quantiles plots with interpretation and inference quality paper-style report in Polish GitHub repository
Post
Rainfall modelling with OLS and Kernel Regression
This project is about Rainfall modelling and assumptions testing, you can expect:
working on real data from Polish Institute of Meteorology and Weather Management data cleaning and analysis econometric modelling (OLS, Kernel Regression) OLS assumptions testing (RESET (several alternatives), Breusch-Pagan, Breusch-Godfrey, Jarque-Bera, Rescaled Moments, VIFs) model selection (information criteria) performance measurement (MSE, RMSE, MAE, MAPE, R squared and adjusted R squared, F test, scatterplots) data transformations (Principal Component Analysis, Box Cox power transform) “forecasting” (see the report why quotation marks used ;)) discussion about endogeneity Python notebook (and many HTML files with models for many weather stations) quality paper-style report in Polish GitHub repository
Post
Cryptocurrencies portfolio
This project is about conditional variance function and Value at Risk estimation for cryptocurrencies portfolio, you can expect:
cryptocurrencies portfolio building with market capitalization weighting principle data scrapping from coinmarketcap.com time series EDA (realizations plot, returns plot, ACFs, PACFs, returns distribution, descriptive statistics) hypotheses testing (Durbin-Watson, ARCH LM, Jarque-Bera, Ljung-Box tests) time series modelling (ARMA-GARCH family models, residuals analysis, model selection, rolling window estimation) Value at Risk estimation, sensitivity analysis forecasting R markdown report in Polish GitHub repository
Post
BMI distribution estimation
This project is about BMI distribution estimation, you can expect:
Maximum Likelihood vs Generalized Method of Moments distribution estimations Gaussian vs Weibull dilemma for BMI hypotheses testing (LR, Wald, z tests) WHO standards report in Polish GitHub repository