Methodology

Role of AI in Finance and Risk Management

Time Series modelling and forecasting are at the core of quantitative analysis for most investors looking at Artificial Intelligence.
Predicting markets however is challenging, perhaps impossible. Further, predicting markets even with a > 50% accuracy is not sufficient in real-life investing.
Risk management, portfolio allocation, setting a stop loss, choosing underlying assets all contribute at least equally, but often dominate, the ‘prediction’ aspect of investment management.
Setting on an investment strategy is always a decision on risk adjusted return.

Forecasting is not enough!

Access the Research Dashboard

Free Research access is available immediately. Professional Research Subscription requests are subject to manual review and approval.

"*" indicates required fields

Company

This field is for validation purposes and should be left unchanged.

Name*

First Last

Email*

Company*

Position*

Investor Type*

Password*

Enter Password Confirm Password

Upgraded Access

I'd like to upgrade to a Professional Research Subscription

Upon submission, you'll receive immediate access to the Research Dashboard. Professional Research Subscription requests are reviewed manually — we'll follow up within 1 business day to confirm your access and invoicing.