By Marc Nerlove

ISBN-10: 0125157509

ISBN-13: 9780125157506

During this variation Nerlove and his co-authors illustrate innovations of spectral research and techniques in accordance with parametric types within the research of monetary time sequence. The ebook offers a method and a style for incorporating financial instinct and conception within the formula of time-series types

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**Additional resources for Analysis of Economic Time Series. A Synthesis**

**Sample text**

The process {x,}, where (22) is called a finite {one-sided) moving average. Let b0, bx,... be an infinite sequence such that Xjt0^7 < o o . Then the infinite one-sided moving average { x j , where (23) is a well-defined stationary process with mean 0 and variance 7 Using the definition of {x,} a n d the condition o n Yj=ob], one can obtain an explicit expression for since it is assumed that Eet = 0 a n d This expression for yx may be used to show that the condition given in (20) is satisfied since which clearly tends to zero with η uniformly in p.

The characteristic function of a r a n d o m vector ζ is defined as

The proof, however, requires some further considerations. 2 2 Returning to the original line of argument assume 0 < σ (οο) < σ χ. Let k oo {k) (k) and let the processes x and u tend to the limiting processes ξΐ and r\x, respectively, in the sense discussed in the previous section of this chapter. Since k) k) = 0 E(x\ u\ ) for all /c, it must be true that Εξίηί = 0 as well. Since {k) {k E(x u lT) k k) = 0 = E(x\ lX ) for all k, any τ > 0, it must be true as well that Thus the whole process is orthogonal to {ί/J.

### Analysis of Economic Time Series. A Synthesis by Marc Nerlove

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