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Vector autoregressive moving-average (VARMA) processes are suitable models for producing linear forecasts of sets of time series variables. They provide parsimonious representations of linear data generation processes. The setup for these processes in the presence of stationary and cointegrated...
Persistent link: https://www.econbiz.de/10014023700
In this paper, we test cointegration between GDP and Public consumption of the Republic of North Macedonia, for … quarterly data of twenty years' time series (2000Q1-2019Q4). We present results of two methods for cointegration test: first …, residual regression test table and second, Engle & Granger cointegration test and Philips Ouliaris test. Both methods provides …
Persistent link: https://www.econbiz.de/10013489691
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cointegration model, of pairs of stock prices. We show the effect that using an encompassing prior under an orthogonal normalization …
Persistent link: https://www.econbiz.de/10010259626
There are simple well-known conditions for the validity of regression and correlation as statistical tools. We analyse by examples the effect of nonstationarity on inference using these methods and compare them to model based inference using the cointegrated vector autoregressive model. Finally...
Persistent link: https://www.econbiz.de/10009767620
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derive unit root and cointegration tests in panels with short time dimension; these tests have the attractive feature that … hypothesis and cointegration tests based on it perform well in small sample; this is in marked contrast to the small sample …
Persistent link: https://www.econbiz.de/10009786715
Persistent link: https://www.econbiz.de/10010206660
This paper examines the significance of different fundamental regimes by applying various monetary models of the exchange rate to one of the politically most important exchange rates, the exchange rate of the US dollar vis-à-vis the euro (the DM). We use monthly data from 1975:01 to 2007:12....
Persistent link: https://www.econbiz.de/10010207061
Persistent link: https://www.econbiz.de/10009697104