Browsing by Author "Ozel, Ozgur"

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Citation - WoS: 2
Citation - Scopus: 2
An Alternative Mean Reversion Test for Interest Rates
(Central Bank Republic Turkey, 2018) Ozel, Ozgur; Ilalan, Deniz; 01. Çankaya Üniversitesi; 03.01. Bankacılık ve Finans; 03. İktisadi ve İdari Birimler Fakültesi
A number of empirical studies assert that interest rates are governed by unit root processes rejecting any form of reversion to a long term mean by resorting to certain tests, among which the Augmented Dickey Fuller (ADF) is the most widely used one. In this study, we propose an alternative testing methodology that can be applied along with ADF test, in the sense that there are times where it can capture stationarity when the other fails to do so. Moreover, our test has more power than ADF test. As an application to real-data, we consider 10-year US and Turkish T-bond rates. (C) 2017 Central Bank of The Republic of Turkey. Production and hosting by Elsevier B.V.
Non-Linear Unit Root Testing With Arctangent Trend: Simulation and Applications in Finance
(Taylor & Francis As, 2018) Ozel, Ozgur; Ilalan, Deniz; 234617; 01. Çankaya Üniversitesi; 03.01. Bankacılık ve Finans; 03. İktisadi ve İdari Birimler Fakültesi
We consider arctangent as the logistic function and compute the asymptotic critical values of the related non-linear unit root test via Monte Carlo simulation. While doing so, we got inspiration from some pioneering articles and use first-order Taylor approximation. We observe that this newly proposed test exhibits higher power than some well-known linear and non-linear tests. We apply our test to some stock indexes and find out that a non-linear arctangent trend can be at stage, rather than a linear unit root process.
Unit Root Testing in the Presence of Mean Reverting Jumps: Evidence From US T-Bond Yields
(Walter de Gruyter GmbH, 2019) Ilalan, Deniz; Ozel, Ozgur; 01. Çankaya Üniversitesi; 03.01. Bankacılık ve Finans; 03. İktisadi ve İdari Birimler Fakültesi
Mean reversion of financial data, especially interest rates is often tested by linear unit root tests. However, there are times where linear unit root test results can be misleading especially when mean reverting jump formations are at stage. Considering this framework, we provide a new unit root testing methodology and compute its asymptotic critical values via Monte Carlo simulation. Moreover, we numerically compare the power of this generalized mean reversion test with the pioneering linear unit root test in the literature namely the Augmented Dickey Fuller (ADF) test. We deduce that our test is a refinement of ADF test with a higher power. Weapply our findings to US 10-year Treasury bond yields. We aim to shed light to the discussion among researchers whether interest rates can sometimes revert to a long-term constant mean or not from an unorthodox point of view.