More modeling for your business!
Oil drilling decisions
Determination of amount of oil or gas in a field
Simulating risk events that either occur or do not occur
Financial / economic forecasting
NPV of an investment
Real Options Pricing
Credit approval / disapproval
Simulation of infection diseases
New Product Entry
Claims for an insurance company
Similarly, we can forecast oil pricing for the next day. An illustration is depicted above.
This is done through regression models and probabilistic distributions.
The picture above shows the distribution 0f 10,000 Monte Carlo simulations of the oil price.
For example, when a company is acquired by a public company, the stock of the acquirer behaves in a particular way (restricted stock). This has tax and financial implications and it is important to have solid statistical support for the projected price. We can compute thousands of statistical simulations on how the price is going to behave that day.
Other modeling solutions include:
Mineral mine lease
Six Sigma modeling
Sports outcomes simulations