- Covariance Based Dynamic Risk Parity Portfolio with Volatility Targeting
- Market Regime Detection with Hidden Markov Models and Regime Based Portfolio Allocation
- Stuttgart
- in/matteo-cunsolo
Pinned Loading
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Covariance-Based-Dynamic-Risk-Parity-Portfolio-with-Volatility-Targeting
Covariance-Based-Dynamic-Risk-Parity-Portfolio-with-Volatility-Targeting PublicVolatility targeted Risk Parity portfolio with a 12% volatility target across 20 USA sector assets and a bond allocation. Built on 1990 to 1999 data and tested out of sample from 2000 to 2026 using…
Jupyter Notebook 1
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Performance-and-Risk-Analysis-of-UBS-and-the-MSCI-World-ETF-with-GARCH-Based-Portfolio-Allocation
Performance-and-Risk-Analysis-of-UBS-and-the-MSCI-World-ETF-with-GARCH-Based-Portfolio-Allocation PublicAn in depth analysis of UBS vs MSCI World CHF hedged ETF with stylized facts of returns, QQ plot normality checks, multi method VaR forecasting and violation backtesting, time varying volatility mo…
TeX
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Market-Timing-vs-Time-in-the-Market-in-the-Long-Term
Market-Timing-vs-Time-in-the-Market-in-the-Long-Term PublicDoes market timing really deserve so much overthinking? This project compares lump sum, annual, monthly and daily investing, buy the dip, ATH buying, moving average and just cash using €50,000 acro…
Jupyter Notebook 1
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Quantitative-Risk-Analysis-of-the-FTSE-MIB
Quantitative-Risk-Analysis-of-the-FTSE-MIB PublicThis repository contains a financial analysis in python of the FTSE MIB. From raw data I conduct an historical risk analysis, calculate key financial metrics (Annualized Returns / Volatility, Drawd…
Jupyter Notebook 2
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Market-Regime-Detection-with-Hidden-Markov-Models-and-Regime-Based-Portfolio-Allocation
Market-Regime-Detection-with-Hidden-Markov-Models-and-Regime-Based-Portfolio-Allocation PublicThis project identifies hidden market regimes using a Hidden Markov Model trained on returns, volatility, and drawdowns. The detected regimes are used to implement a dynamic portfolio allocation st…
Jupyter Notebook
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Option-Pricing-Engine-with-Monte-Carlo-Simulation-under-GBM-and-Black-Scholes-Benchmark
Option-Pricing-Engine-with-Monte-Carlo-Simulation-under-GBM-and-Black-Scholes-Benchmark PublicC++ implementation of a Monte Carlo engine to price European call and put options under the Geometric Brownian Motion assumption. The project simulates asset price paths, computes discounted payoff…
C++
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