A Quadratic Arch(∞) Model with Long Memory and Lévy Stable Behavior of Squares

نویسنده

  • DONATAS SURGAILIS
چکیده

We introduce a modification of the linear ARCH (LARCH) model (Giraitis, Robinson, and Surgailis (2000))—a special case of Sentana’s (1995) quadratic ARCH (QARCH) model—for which the conditional variance is a sum of a positive constant and the square of an inhomogeneous linear combination of past observations. Necessary and sufficient conditions for the existence of a stationary solution with finite variance are obtained. We give conditions under which the stationary solution with infinite fourth moment can exhibit long memory, the leverage effect, and a Lévy-stable limit behavior of partial sums of squares.

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تاریخ انتشار 2008