In the last years, the time series properties of the U.S. unemployment rate have become the subject of intensive debate. Despite extensive empirical research many contradictory results have been reported. In order to resolve the question about the degree of integration, I estimate a highly general ARFIMA(p,d,q) model. The empirical evidence suggests that aggregate U.S. unemployment is fractiona...

Bu çalışmanın amacı, yapısal kırılmalar altında asimetrik bilginin hisse senedi getiri oynaklığı üzerindeki etkisini ARFIMA-FIGARCH ikili uzun hafıza ve Markov Switching Regresyon modelleriyle ortaya koymaktır. doğrultuda, çalışmada BİST 100 Endeksi’nin 04.01.2010-31.12.2018 dönemine ilişkin günlük dolar cinsinden kapanış fiyatları, alım satım fiyat marjı ile toplam işlem hacmi verileri dikkate...

In this paper we construct a test for the difference parameter d in the fractionally integrated autoregressive moving-average (ARFIMA) model. Obtaining estimates by smoothed spectral regression estimation method, we use the moving blocks bootstrap method to construct the test for d. The results of Monte Carlo studies show that this test is generally valid for certain block sizes, and for these ...

One objective of this paper is to estimate the parameters p,d,q of an autoregressive fractionally integrated moving average ARFIMA(p,d,q) stochastic model by minimizing the squares of the residuals using a Bayesian global optimization techniques. We consider bilinear model, too because it is the simple extension of linear model, defined by adding a bilinear term to traditional ARMA model. There...

We construct geometric shrinkage priors for Kählerian signal filters. Based on the characteristics of Kähler manifold, an algorithm for finding the superharmonic priors is introduced. The algorithm is efficient and robust to obtain the Komaki priors. Several ansätze for the priors are also suggested. In particular, the ansätze related to Kähler potential are geometrically intrinsic priors to th...