Equity Volatility Models
Heston Stochastic Volatility Simulator
Run a simple internal Monte Carlo Heston simulation directly in QuantModels.ai with configurable variance dynamics, correlation, maturity, and path settings.
Model Overview
The Heston model introduces a stochastic variance process to capture dynamics that constant-volatility models miss. This page keeps the experience fully internal to QuantModels.ai and provides a practical interface for testing parameter sensitivity and option pricing outcomes.
Heston Inputs
Simulation Output
European call
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Avg final stock
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Avg final variance
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Monte Carlo Notes
This internal simulator uses a simple Euler-style Monte Carlo scheme with correlated shocks for the asset and variance processes. It is designed as a clear in-product demonstration rather than a production pricing benchmark.
Use Cases
- European option pricing under stochastic volatility
- Volatility smile and term-structure intuition
- Scenario analysis for equity derivatives
- Model exploration inside the core QuantModels.ai product
Internal Platform
QuantModels.ai now hosts the Heston simulator directly inside the main website, keeping the same institutional fintech presentation while making the simulator part of the core platform experience.