Financial Forecasting and Simulations
Data analytics and predictive forecasting for Sales (Turnover), Demands, Costs (like COGS) and much more. We use stochastic models and advanced statistical methods to predict business logic data. Creating szenarios and monitoring your business data and reinforcement learning will help to understand how the models work and keep them accurate at any time.
Modelling and simulation of financial forecasts even based on many variables assuming uncertainty. Calculating robust estimators, while still considering the possible outcome of an unlikely event.
Use mathematical tools to detect outliers or certain anomalities, that do not cope with the rest of the data.
Select a best portfolio of assets with respect to a diverse set of possible constraints and an objective depending on your business needs.
Modern tools used in financial mathematics are able to generate fair prices for complex financial products. We use sophisticated methods, paired with efficient algorithms to simulate and price financial products on models fully calibrated to observable market data.