Insights · Department

Research and technical work.

The deeper pieces. Pricing models, vol surface calibration, hedging in thin markets, and the engineering decisions behind the systems that quote into East African capital markets every day.

DepartmentResearch
DisciplineQuantitative
FormatWorking papers
ReviewInternal · technical
Macro close-up of printed scientific equations, the working papers
The working papers

Drafts in active technical review.

WP-001
In review

Black-76 vs Black-Scholes for futures-style options

Why the model has to know which thing is martingale, and what changes in the smile when you get it right. A working paper on the practical price differences when an options book is priced under the wrong measure.

Options pricingForward measureVol smile
WP-002
In drafting

SVI calibration in thin markets

Fitting a no-arbitrage volatility surface against sparse strikes, what works, what fails, and how the system handles missing observations under continuous online updates.

Volatility surfaceSVIThin markets
WP-003
In drafting

Hedging an options book through thin futures

The slicing logic when the hedge instrument trades at a fraction of the options-leg notional. Basis risk between the hedge and the underlying, and the residual carry we accept by choice.

HedgingBasis riskSlicing logic
WP-004
In drafting

NSE Clear initial margin methodology

Reading of the NSE Clear IM methodology, how it affects sizing decisions on an OSF book, and what it implies for capital efficiency on the venue.

ClearingIM methodologyCapital efficiency
What lives here
  • Pricing model derivations, Black-76, term-structure fits, iNAV computation
  • Volatility surface calibration methodology, SVI parameterisation, online SGD updates
  • Hedging in thin markets, slicing logic, basis-risk management, residual carry
  • Microstructure analysis, order-book depth, fill probability, regime detection
  • Engineering decisions behind the systems, risk infrastructure, kill-switches, latency budgets
How we approach this

The pieces here are written at the quant-and-engineer level. Real model derivations. Real calibration code. Real architectural trade-offs. The infrastructure we run is the same infrastructure these pieces describe, so the technical content reflects what we actually do.

Specific over general. Reproducible over impressionistic. The work is the argument.

Related

Working on similar problems?

If you are a quant, engineer, or academic working on pricing, calibration, or microstructure in frontier or emerging markets, we are happy to exchange notes.