Abstract
We decompose a stationary Markov process (Xt) as: Xt=a0+∑j=1∞a jZj,t, where the Zj's processes admit ARMA specifications. These decompositions are deduced from a nonlinear canonical decomposition of the joint distribution of (Xt, Xt-1).
| Original language | English |
|---|---|
| Pages (from-to) | 165-171 |
| Number of pages | 7 |
| Journal | Economics Letters |
| Volume | 71 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 1 May 2001 |
| Externally published | Yes |
Keywords
- C14
- C22
- Canonical analysis
- Dynamic factors
- Markov process
- Nonlinear
- Reversibility
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