2 problems
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Extension of the asymptotic normal distribution theorem to ARCH processes
Let an ARCH process be a time-series process with autoregressive conditional heteroskedasticity, and let the marginal law of its observations have a finite fourth moment. Let Theor…
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Conjecture that the ARCH(1) moment restriction can be weakened to p > 2
An ARCH(1) process is a heteroskedastic time-series process, and denotes the moment parameter in Assumptions (B). The condition is the moment restriction imposed there. A…