Rates & curves
Discounting → OIS → multi-curve → Hull–White → HJM
A structured quantitative-finance curriculum linking derivation, Python, interactive state, market practice and macro transmission.
A sequenced path through measurement, option-implied coordinates, surface construction, dynamics, calibration and hedge risk.
Discounting → OIS → multi-curve → Hull–White → HJM
Monte Carlo → schemes → Fourier / COS → PDE
Greeks → P&L attribution → VaR / ES → model risk
The existing typed catalog remains intact and now sits beneath the sequenced flagship curriculum.
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Compare measured return dispersion with option-implied volatility.
Lock a future equity purchase price after funding and dividends.
Closed-form European option pricing under lognormal diffusion.
Local sensitivities that translate model parameters into hedge language.
The volatility input that makes a model reproduce a market option price.
Strike-dependent implied volatility at a single expiry.
Implied volatility across strike and maturity.
Connect European calls, puts, forwards and discounting by no-arbitrage.
Separate funding and distributions in equity forward value.
Estimate dispersion from a time series of past returns.
Measure variance accumulated over an observed period.
Track implied volatility across option maturities.
Infer state-dependent instantaneous variance from a vanilla surface.
Model volatility itself as a random process.
Model variance as a mean-reverting square-root diffusion.
Model forward and volatility jointly for smile dynamics.
Monetise convexity through repeated delta rebalancing.
Trade future realised variance against a fixed strike.
Activate or extinguish payoff when an underlying crosses a level.
Pay a fixed amount when a terminal condition is met.
Allow exercise before expiry and introduce an optimal stopping problem.
Compare continuation value with immediate exercise value.
Express relative-value views across implied and realised volatility.