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Pricing energy options (focus on German power) with MC and jump-diffusion mean-reversion model, including stochastic volatility, seasonality and regime filtering. Model parameters are calibrated on…
A toolkit-class for fixed income basics, like Nelson-Siegel and Svensson, incl. dynamic with Extended Kalman Filter, VAR forecasting of YC, scenario generation, CVaR optimizer, bond pricing and more
A Python class for portfolio construction, risk-aware optimization and rolling backtests. Supports empirical mean shrinkage, Ledoit–Wolf covariance, EWMA, CVaR, risk-parity, turnover-aware Sharpe o…
Regime-conditional volatility forecasting framework using HAR-RV as a baseline and XGBoost on either residual vol or directly on log(RV), implemented for Germany and France electricity markets. Met…
Data analysis and intraday trading strategy prototypes for German power market. Beware of limitations. My solution to FlexPower Quant Challenge from 2023.
Python
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