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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Separate immediate physical value from exchange-traded future delivery.
Commodity delivery prices across maturities.
A forward curve whose later deliveries trade above nearby prices.
A forward curve whose later deliveries trade below nearby prices.
The non-cash benefit of holding physical inventory.
Option pricing on forwards under lognormal forward dynamics.
Options whose payoff depends on an average price.
Embed physical warehousing, insurance and financing in commodity carry.
Model recurring calendar patterns in supply, demand and forward prices.
Measure the return from moving exposure along a forward curve.
Trade relative value between delivery months.
Exchange floating commodity prices for fixed contractual levels.
Attach optionality to forwards, futures or physical indices.
Model commodity prices returning toward an equilibrium level.
Option the difference between related prices.
Optimise repeated exercise volumes under operational constraints.
Link payoffs to temperature or other weather indices.
Track refinery margin between crude and products.
Track power-generation margin between electricity and fuel.
Value operational flexibility using option-pricing logic.