Projects related to financial modeling, primarily in Python
ARIMA: useful for time-series modeling and forecasting
ETS: exponential smoothing
GARCH: used to model volatility
CAPM: asset pricing model
ML basic: basic ML models including linear regression, logistic regression, k-nearest neighbors, gradient boosting
XGBoost: gradient boosting ML model useful for forecasting
options_pricing: Black-Scholes for European-style options, Binomial Tree Model for America-style (early exercise)