Statistical Inference on Long-Memory Time Series and its Applications to Economic Data

点击翻译按钮获取中文摘要

In this research, we proposed semiparametric statistical inference on various long-memory time series, such as long-memory signal plus noise processes and cyclical long-memory time series. By applying the proposed method to a long-memory stochastic volatility model, we examined long-memory in the volatility of exchange rates. We also provided an empirical analysis of the growth rate of Japan's industrial production index and detected its cyclical persistence.