Why replace derivative pricing models with neural networks? Once a neural network has been fitted to the outputs of a conventional derivative pricing model, it prices virtually instantaneously. This enables:
- Real-time pricing of computationally expensive derivatives
- Option trading strategies execute faster
- Real-time calculation of Greeks
- Massive scenario analysis with millions of scenarios
- Rapid market risk calculation including intraday VaR
- Impossibly slow XVA calculations become viable
- Dramatically faster volatility model calibration
- Superior portfolio optimization
Interested in partnering with PhD quant consultants to develop neural network pricing models for your business? Talk to Genius Mathematics Consultants today.
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As Ken Griffin from Citadel noted at the Stanford Leadership Forum in May, AI-accelerated development has decreased the time and cost of model development, and is now making sophisticated financial models attainable even for smaller or less specialized firms, or for small teams within larger firms. This includes risk models, investment models, derivative pricing models, algorithmic trading and machine learning systems.
Now is the time to be uplifting your firm's modelling, to avoid being left behind by the AI wave.
With AI rapidly becoming better at producing financial models, the focus is quickly shifting to how to validate AI generated work.
At Genius Mathematics Consultants, we combine AI accelerated development with oversight and validation by PhD human experts. This means you get the AI-powered cost savings and increased sophistication, while still having the confidence that you're building the right things and that the final product is working correctly.
What's more, we offer fractional or project-based work, so we can augment your capabilities for a fraction of the cost of a fulltime hire.
Follow our LinkedIn page, and reach out anytime to discuss how we can work together to build out your firm's modelling infrastructure.
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Do you have mathematical modelling/coding requirements that are only part time or sporadic? What if you could hire a math PhD say, 20% of full time, or as-needed on a project basis?
Our flexible PhD mathematics consulting business has you covered! Still paying an arm and a leg to software vendors or big consulting firms? We do things like
- Building and validating mathematical engineering models, including optimization and sensor/signal processing
- PhD mathematics support for scientists and researchers
- Expert review of your AI generated models
- Designing machine learning algorithms for any application
- AI accelerated code development to bring capability in-house, reducing expensive vendor subscriptions
- High quality model documentation
Does your business face quantitative problems that donโt fit neatly into an off-the-shelf solution? AI-accelerated development has dramatically decreased the time and cost of building modelling infrastructure in-house, and means sophisticated models are now cost-effective even for smaller and less specialized firms. The well-known build vs buy analysis may be shifting in favour of building instead of buying. If you're paying for expensive vendor models, why not let us help you bring the models in-house, customizing them for your use-case and doing away with high vendor fees at the same time?
Genius Mathematics Consultants - So much more than mathematics.
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