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(CVAR) with general cointegration rank. Our hedge is optimal in the sense of minimum variance portfolio. We consider a model … correlation and cointegration parameters. For short holding periods the correlation impact is predominant. For long horizons, the … hedge ratio should overweight the cointegration parameters rather then short-run correlation information. In the infinite …
Persistent link: https://www.econbiz.de/10010937269
An overview of results for the cointegrated VAR model for nonstationary I(1) variables is given. The emphasis is on the analysis of the model and the tools for asymptotic inference. These include: formulation of criteria on the parameters, for the process to be nonstationary and I(1),...
Persistent link: https://www.econbiz.de/10010940436
limiting distribution of the likelihood ratio statistic for the cointegration ranks, extending the result for I(2) models with …) where asymptotic inference is discussed in detail for one of the cointegration parameters. To illustrate, an empirical …
Persistent link: https://www.econbiz.de/10005014886
A two-sector Malthusian model is formulated in terms of a cointegrated vector autoregressive (CVAR) model on error correction form. The model allows for both agricultural product wages and relative prices to affect fertility. The model is estimated using new data for the pre-industrial period in...
Persistent link: https://www.econbiz.de/10009225748
Campbell and Shiller (1987) proposed a graphical technique for the present value model which consists of plotting the spread and theoretical spread as calculated from the cointegrated vector autoregressive model. We extend these techniques to a number of rational expectation models and give a...
Persistent link: https://www.econbiz.de/10004999759
representation of the full cointegration space is found to facilitate the understanding of the interaction between the goods and the …
Persistent link: https://www.econbiz.de/10005543484
In this paper we apply the encompassing principle to test whether a model that has been estimated with seasonally adjusted data (SA) can encompass a model that is based on non-seasonllay adjusted (NSA) data. Building upon and extending the work på Ericsson, Hendry and Tran (1994) who analyze...
Persistent link: https://www.econbiz.de/10005543506
The purpose of this paper is to give a systematic account of the maximum likelihood inference concerning cointegration … vectors in non-stationary vector value autoregressive time series with Gaussian errors. The hypothesis of r cointegration … vectors is given a simple parametric formulation in terms of cointegration vectors and their weights. We then estimate and …
Persistent link: https://www.econbiz.de/10005749557
A representation for I(2) processes is derived which allows for trend-stationary components and restricts the deterministic part of the process to be at most linear. A two-step statistical analysis of the model is derived. The joint test of I(1) and I(2) cointegrating ranks is shown to be...
Persistent link: https://www.econbiz.de/10005749577
The long-run and short-run structure of the Danish manufacturing export sector is analyzed within a cointegrated vector autoregressive model. The price variables of the analysis can be characterized as integrated of second order, I(2), but long-run homogeneity seems to cancel the I(2)-trend...
Persistent link: https://www.econbiz.de/10005749590