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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Map uncertain outcomes to measurable numerical values.
The continuous-time noise behind classical diffusion models.
Value discounted payoffs under a measure that removes risk premia.
Separate executable sides from the midpoint used for analysis.
Keep observed quotes separate from calculated fair values.
Treat market data as a timed state, not a timeless number.
Distinguish official observations, delayed feeds and executable streams.
Interpret binary contract prices without treating them as certainty.
Keep event, market, outcome and CLOB token identifiers distinct.
Read bid, ask, midpoint, spread, depth and imbalance for outcome tokens.
Connect settlement rules, oracle resolution and linked mutually exclusive markets.
Separate trading activity, outstanding exposure and available book depth.
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.
The exchange rate for near-immediate delivery between two currencies.
A future exchange rate implied by two funding curves.
Exchange currencies now and reverse the exchange later.
Black-Scholes adapted to domestic and foreign interest rates.
Premium-adjusted, forward and spot delta quotation choices.
Call-minus-put volatility at matched absolute delta.
A convexity quote combining wing and ATM volatilities.
Construct an FX smile from ATM, risk reversal and butterfly quotes.
Present value of one unit of currency paid at a future date.
Single-period rates implied by discount factors.
Rates implied today for borrowing over a future interval.
Term structures linking maturity to discounting or yield.
Fixed-versus-compounded overnight indexed swaps.
Contracts fixing a future simple interest rate.
Exchange fixed coupons for floating-rate cashflows.
Solve discount factors sequentially from market instruments.
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.
Very low regularity volatility models aligned with observed short-scale behaviour.
Adjoint algorithmic differentiation for many sensitivities at near-constant reverse cost.
Pricing systems designed for gradients across models and parameters.
Fast learned approximations to expensive pricing maps.
Learn hedging policies under frictions and non-quadratic objectives.
Stochastic differential equations with learned functional components.
Infer parameter distributions rather than one best-fit point.
Parallel simulation and payoff evaluation on graphics processors.
Update expected values using the information currently available.
Processes whose conditional future value equals their current value.
Reweight probabilities to move between pricing numeraires.
Differential calculus for stochastic processes with quadratic variation.
Estimate prices and risk by simulating many model paths.
Improve simulation precision without merely adding paths.
Approximate derivatives and solve pricing PDEs on a grid.
Translate no-arbitrage dynamics into boundary-value problems.
Choose parameters that reconcile a model with observed instruments.
Estimate values between liquid market pillars without inventing arbitrage.
Keep computed outputs reliable under finite precision and difficult inputs.
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.
Quote the forward-minus-spot adjustment implied by two currencies.
Define where at-the-money sits under pair-specific FX rules.
Account for option premium in the hedge-ratio convention.
Turn market quote coordinates into a strike-volatility curve.
Price fixed cashflows conditional on an exchange-rate event.
Add path-dependent trigger levels to FX option payoffs.
Combine fixed-income cashflows with embedded FX optionality.
Value an asset payoff translated at a fixed exchange rate.
Enforce consistency across three quoted currency pairs.
Measure funding dislocations not explained by covered interest parity.
Convert calendar dates into contractual accrual fractions.
Translate rates consistently across simple, periodic and continuous forms.
Separate discounting from tenor-specific projection curves.
Measure value change for a one-basis-point rate shift.
Allocate curve sensitivity to selected maturity nodes.
Decompose expected horizon P&L with an unchanged curve.
Limit floating-rate payments through a strip of caplets.
Protect minimum floating-rate receipts through floorlets.
Grant the right to enter an interest-rate swap.
Model the instantaneous funding rate to generate a term structure.
Use a mean-reverting Gaussian short rate fitted to today’s curve.
Model a family of market forward rates under linked measures.
Correct linear forward intuition when payoff and discounting are nonlinear.
Handle rate distributions and quotation when strikes can cross zero.
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.