A More Informative Unit Root Test for Driftless Time Series

2014 ◽  
Author(s):  
Shlomo Zilca
Keyword(s):  
Time Series ◽  
Unit Root ◽  
Unit Root Test

A New Non-Parametric Subspace-Based Approach for Unit Root Test

2019 ◽  
Vol 18 (01) ◽  
pp. 1950009 ◽  
Author(s):  
Mehran Farahikia ◽  
Masoud Yarmohammadi ◽  
Hossein Hassani
Keyword(s):  
Time Series ◽  
Unit Root ◽  
Unit Root Test ◽  
Statistical Testing ◽  
Block Bootstrap ◽  
Testing Methodology ◽  
Non Parametric

A new non-parametric subspace-based approach is introduced for unit root test in AR(1) process. The proposed approach contains block-bootstrap and spectrum properties of a time series as well as statistical testing methodology. The simulation result validates the proposed test and indicates its superiority compared with other existent procedures.

scholarly journals DAMPAK TINGKAT SUKU BUNGA KREDIT, INFLASI DAN PERTUMBUHAN EKONOMI TERHADAP JUMLAH KREDIT BANK UMUM SWASTA NASIONAL YANG DISALURKAN DI INDONESIA

2019 ◽  
Vol 2 (1) ◽  
pp. 33-44
Author(s):  
Muhammad Rizki Saputra ◽  
Ryan Juminta Anward ◽  
Rizali Rizali
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Interest Rate ◽  
Unit Root ◽  
Unit Root Test ◽  
Statistical Test ◽  
Economic Variable ◽  
Quarterly Data ◽  
Private Banks ◽  
Econometric Technique

The objective of this research is to (1) analyse the influence of loan interest rate, inflation and economic growth to loans disbursed by national private banks in Indonesia. This research uses quarterly data for ten years from 2007 to 2016. The methodology used in this research is time series econometric technique which is the unit root test, statistical test and classical assumption test. The result of this research shows that loan interest rate and inflation variable have a negative correlation and statistically is not significant to loans that disbursed by national private banks in Indonesia. While Indonesian economic growth and global economic variable have a positive correlation and statistically is significant to loans that disbursed by national private banks in Indonesia.

scholarly journals Purchasing Power Parity in Commonwealth of Independent States

2014 ◽  
Author(s):  
Gülçin Güreşçi Pehlivan ◽  
Esra Ballı ◽  
Muammer Tekeoğlu
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Cross Section ◽  
Purchasing Power Parity ◽  
Unit Root ◽  
Unit Root Test ◽  
Purchasing Power ◽  
Power Parity ◽  
Panel Unit Root ◽  
Independent States

The Purchasing Power Parity suggests that differences in relative prices in two countries move together with nominal exchange rates in the long run. This study examines the validity of PPP as transition economies for Commonwealth of Independent States (CIS). Purchasing Power Parity holds only when the real exchange rate is stationary in the equation. To test the stationary, we used both time series and panel data analysis. Testing unit root both with time series and panel data in this study, provides us double check of the results. We also test the cross sectional dependence to choose the appropriate panel unit root test. Our test statistics indicate that there is cross section dependence between countries. Hence, one needs to take into consideration the cross section dependence while undertaking unit root tests. Otherwise, the results would be biased. ADF and KPPS indicate that PPP cannot be accepted for the countries except for Russia. According to the panel unit root test results indicate that PPP does not hold for Armenia, Belarus, Georgia, Kazakhstan and Kyrgyzstan except for Russia.

scholarly journals Forecasting Import Demand of Table Grapes: Empirical Evidence from Thailand

2020 ◽  
Vol 10 (2) ◽  
pp. 578-586
Author(s):  
Chalermpon Jatuporn ◽  
Patana Sukprasert ◽  
Siros Tongchure ◽  
Vasu Suvanvihok ◽  
Supat Thongkaew
Keyword(s):  
Time Series ◽  
Empirical Evidence ◽  
Unit Root ◽  
Moving Average ◽  
Unit Root Test ◽  
Import Demand ◽  
Forecasting Model ◽  
Autoregressive Integrated Moving Average ◽  
Table Grapes ◽  
Monthly Time Series

The purpose of this study is to forecast the import demand of table grapes of Thailand using monthly time series from January 2007 to April 2020. The ADF unit root test is used for stationarity checking, and seasonal autoregressive integrated moving average (SARIMA) is applied to forecast the import demand of table grapes. The results revealed that the integration of time series was in the first difference for non-seasonal and seasonal order. The best-fitted forecasting model was SARIMA(1,1,3)(2,1,0)12. The forecasted period for the next eight months showed the import demand of table grapes of Thailand that is slightly decreased by an average of 11.398 percent, with overall expected to decrease by an average of 15.218 percent in 2020.

scholarly journals Economic Growth, Inflation and Monetary Policy in Pakistan: Preliminary Empirical Estimates

2021 ◽  
Vol 4 (2) ◽  
pp. 321-333
Author(s):  
Hina Ali ◽  
Malka Liaquat ◽  
Noreen Safdar ◽  
Saeed ur Rahman
Keyword(s):  
Time Series ◽  
Monetary Policy ◽  
Unit Root ◽  
Time Series Data ◽  
Unit Root Test ◽  
Series Data ◽  
Economic Activities ◽  
Data Set ◽  
Explanatory Variables ◽  
Empirical Estimates

In economic policy, construction Inflation is a core variable to be considered that determines the economic activity. To make a suitable monetary policy, it is very essential to check the price level and later on, many other variables are considered to achieve the goal. This study aims to reveal the affiliation of inflation on the growth of economic activities in Pakistan. Time series data set for the period 1989-2020 was used to have the empirical estimates.  Augmented Dickey Fuller Unit Root Test is employed to check the unit root of the time series and Auto Regressive Distributive Lag techniques are used for empirical estimates. The present research uses Inflation as a dependent variable and Gross Domestic Product, Interest Rate, Money Supply, and Exchange Rate as the explanatory variables of the study. The findings of this analysis reveal that there's an antagonistic relation between Inflation and GDP.

scholarly journals A wavelet-based variance ratio unit root test for a system of equations

2019 ◽  
Vol 24 (3) ◽  
Author(s):  
Abdul Aziz Ali ◽  
Kristofer Månsson ◽  
Ghazi Shukur
Keyword(s):  
Time Series ◽  
Cross Section ◽  
Unit Root ◽  
Unit Root Test ◽  
Applied Econometrics ◽  
Small Sample ◽  
System Of Equations ◽  
Panel Unit Root Test ◽  
Panel Unit Root ◽  
Cross Section Dependence

AbstractIn this paper, we suggest a unit root test for a system of equations using a spectral variance decomposition method based on the Maximal Overlap Discrete Wavelet Transform. We obtain the limiting distribution of the test statistic and study its small sample properties using Monte Carlo simulations. We find that, for multiple time series of small lengths, the wavelet-based method is robust to size distortions in the presence of cross-sectional dependence. The wavelet-based test is also more powerful than the Cross-sectionally Augmented Im et al. unit root test (Pesaran, M. H. 2007. “A Simple Panel Unit Root Test in the Presence of Cross-section Dependence.” Journal of Applied Econometrics 22 (2): 265–312.) for time series with between 20 and 100 observations, using systems of 5 and 10 equations. We demonstrate the usefulness of the test through an application on evaluating the Purchasing Power Parity theory for the Group of 7 countries and find support for the theory, whereas the test by Pesaran (Pesaran, M. H. 2007. “A Simple Panel Unit Root Test in the Presence of Cross-section Dependence.” Journal of Applied Econometrics 22 (2): 265–312.) finds no such support.

scholarly journals Unit Roots in Time Series with Changepoints

2017 ◽  
Vol 6 (6) ◽  
pp. 127
Author(s):  
Ed Herranz ◽  
James Gentle ◽  
George Wang
Keyword(s):  
Time Series ◽  
Unit Root ◽  
Null Hypothesis ◽  
Structural Changes ◽  
Linear Trend ◽  
Unit Root Test ◽  
Unit Roots ◽  
Cointegration Analysis ◽  
Unit Root Tests ◽  
Standard Unit

Many financial time series are nonstationary and are modeled as ARIMA processes; they are integrated processes (I(n)) which can be made stationary (I(0)) via differencing n times. I(1) processes have a unit root in the autoregressive polynomial. Using OLS with unit root processes often leads to spurious results; a cointegration analysis should be used instead. Unit root tests (URT) decrease spurious cointegration. The Augmented Dickey Fuller (ADF) URT fails to reject a false null hypothesis of a unit root under the presence of structural changes in intercept and/or linear trend. The Zivot and Andrews (ZA) (1992) URT was designed for unknown breaks, but not under the null hypothesis. Lee and Strazicich (2003) argued the ZA URT was biased towards stationarity with breaks and proposed a new URT with breaks in the null. When an ARMA(p,q) process with trend and/or drift that is to be tested for unit roots and has changepoints in trend and/or intercept two approaches that can be taken: One approach is to use a unit root test that is robust to changepoints. In this paper we consider two of these URT's, the Lee-Strazicich URT and the Hybrid Bai-Perron ZA URT(Herranz, 2016.)  The other approach we consider is to remove the deterministic components with changepoints using the Bai-Perron breakpoint detection method (1998, 2003), and then use a standard unit root test such as ADF in each segment. This approach does not assume that the entire time series being tested is all I(1) or I(0), as is the case with standard unit root tests. Performances of the tests were compared under various scenarios involving changepoints via simulation studies.  Another type of model for breaks, the Self-Exciting-Threshold-Autoregressive (SETAR) model is also discussed.

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