A sequential approach to testing seasonal unit roots in high frequency data

Testing for Seasonal Unit Roots

This paper examines, both theoretically and through Monte Carlo analysis, the implications of applying the HEGY seasonal root tests to a process that is periodically integrated. As an important special case, the random walk process is also considered. In the context of the HEGY regression, the asymptotic distribution of the zero frequency test statistic is dependent on the coefficients of the p...

Testing for Seasonal Unit Roots in Periodic Integrated Autoregressive Processes

a new approach to credibility premium for zero-inflated poisson models for panel data

هدف اصلی از این تحقیق به دست آوردن و مقایسه حق بیمه باورمندی در مدل های شمارشی گزارش نشده برای داده های طولی می باشد. در این تحقیق حق بیمه های پبش گویی بر اساس توابع ضرر مربع خطا و نمایی محاسبه شده و با هم مقایسه می شود. تمایل به گرفتن پاداش و جایزه یکی از دلایل مهم برای گزارش ندادن تصادفات می باشد و افراد برای استفاده از تخفیف اغلب از گزارش تصادفات با هزینه پائین خودداری می کنند، در این تحقیق ...

Stationarity Testing in High-Frequency Seasonal Time Series

Deciding whether seasonality is of a stochastic nature, and thus slowly changing over time, or deterministic and thus repeating in the same way each season can have a substantial impact on forecast accuracy. Tests for stochastic seasonality, called seasonal unit root tests, have been developed for certain common seasonal periods, like 12 (monthly data) 4 and 2, but until now have not been avail...

Testing for seasonal unit roots in monthly panels of time series

We consider the problem of testing for seasonal unit roots in monthly panel data. To this aim, we generalize the quarterly CHEGY test to the monthly case. This parametric test is contrasted with a new nonparametric test, which is the panel counterpart to the univariate RURS test that relies on counting extrema in time series. All methods are applied to an empirical data set on tourism in Austri...