Institutional Quantitative Modeling Engine

Heston Stochastic Volatility & Kelly Tail-Risk Terminal

Coupled Euler-Maruyama Monte Carlo solver for the Heston (1993) stochastic volatility SDE system ($dS_t = \mu S_t dt + \sqrt{v_t} S_t dW_t^S$, $dv_t = \kappa(\theta - v_t)dt + \xi\sqrt{v_t}dW_t^v$). Quantifies skewness-induced tail risk ($\text{VaR}_{99}$, $\text{CVaR}_{99}$) and continuous-time Half-Kelly position sizing relative to constant-volatility Black-Scholes assumptions.

Heston Call Fair Value
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vs Black-Scholes benchmark
99% Value-at-Risk (VaR)
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1st percentile terminal drawdown
99% Expected Shortfall (CVaR)
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Conditional tail expectation
Half-Kelly Optimal Allocation
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Variance-penalized capital fraction
Feller Boundary ($2\kappa\theta / \xi^2$)
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Variance positivity condition
SDE System Parameters
Coupled Spot Price Trajectories ($S_t$) & Interdecile Fan ($T = 1.0\text{ yr}$) dt = 1/252 Trading Days
Terminal Log-Return Density vs. Log-Normal Black-Scholes Reference Left-Skew & Kurtosis Comparison