2025/01/06 by Ibrahim Abdelrazeq, Abdelrazeq, Ibrahim, Smith, Hardy +2
Decision Sciences · #60 #62 #Advanced Statistical Process Monitoring #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Economics and business #Statistical Finance (q-fin.ST)
paper · pdf · doi:10.48550/arxiv.2501.03434
openalex publication_date 2025/01/06 · openalex created_date 2025/01/09 · openalex updated_date 2026/07/28
Assuming that a Lévy-Driven Ornstein-Uhlenbeck (or CAR(1)) processes is observed at discrete times 0, h, 2h,⋯ [T/h]h. We introduce a step-by-step methodological approach on how a person would verify the model assumptions. The methodology involves estimating the model parameters and approximating the driving process. We demonstrate how to use the increments of the approximated driving process, along with the estimated parameters, to test the assumptions that the CAR(1) process is Lévy-driven. We then show how to test the hypothesis that the CAR(1) process belongs to a specified class of Lévy processes. The performance of the tests is illustrated through multiple simulations. Finally, we demonstrate how to apply the methodology step-by-step to a variety of economic and financial data examples.