New method predicts future trends with unprecedented accuracy using fractional autoregressive processes.
The article discusses how to analyze processes that are both fractional and cofractional. It extends the concept of cointegration to these processes, allowing for more complex modeling. The researchers use the Gaussian likelihood function to estimate parameters and test for cointegration rank. They find that the estimators have specific properties and that the likelihood ratio test is related to fractional Brownian motion.