Models

Five core engines for pricing and institutional oversight

Our model layer supports Heston stochastic volatility, Black-Scholes pricing, Monte Carlo valuation, CIR++ interest-rate modeling, and portfolio risk monitoring with outputs designed for practitioners.

Quant Library

Heston Stochastic Volatility

Calibrate stochastic volatility surfaces with a workflow designed for institutional derivatives desks.

  • Fast parameter estimation for liquid and bespoke structures
  • Scenario testing across volatility smiles and forward curves
  • Internal Monte Carlo simulation directly inside QuantModels.ai
Explore model

Quant Library

Black-Scholes

Reliable vanilla pricing, Greeks, and hedging analytics packaged in a clean execution layer.

  • Option pricing and sensitivity ladders
  • Trade blotter integrations for execution support
  • Structured outputs for downstream portfolio systems
Explore model

Quant Library

Monte Carlo Pricing

Pathwise pricing and simulation infrastructure for scenario-driven valuation across structured products and exotics.

  • Stochastic path generation across configurable horizons
  • Flexible payoff modeling for simulation-based pricing
  • Stress-ready outputs for downstream portfolio analysis
Explore model

Quant Library

Portfolio Management

Construct and optimise NIFTY equity portfolios with mock allocations, diversification analytics, and institutional-style reporting.

  • Coverage across NIFTY 50, Next 50, NIFTY 100, and sector universes
  • Simple portfolio return, volatility, Sharpe ratio, and drawdown analytics
  • Placeholder workflows for efficient frontier, allocation, and risk contribution views
Explore model

Quant Library

Risk Analytics

Centralize exposure, stress, and liquidity diagnostics for portfolio managers and risk officers.

  • Portfolio VaR and stress-testing views
  • Factor decomposition and concentration monitoring
  • Committee-ready dashboards for oversight teams
Explore model

Quant Library

CIR++ Interest Rate Model

A shifted short-rate framework for interest-rate simulation and curve-consistent fixed-income pricing workflows.

  • Extends Cox-Ingersoll-Ross with a deterministic shift to fit the initial yield curve
  • Supports zero-coupon bond pricing and interest-rate derivative analytics
  • Useful for scenario generation, calibration, and term-structure aware simulation
Explore model

About

Built for market practitioners who need precision and trust

QuantModels.ai blends institutional-grade analytics with a product experience that is clean, fast, and governance-aware.

01

Built for asset managers, hedge funds, treasury teams, and institutional advisors.

02

Combines transparent model assumptions with a polished delivery layer for high-trust decisions.

03

Designed to move from exploratory pricing to operational risk workflows without changing tools.