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estimation of the parameters in an auxiliary model. The learning scheme employed by the agents belongs to the class of stochastic … approximation algorithms whose gain sequence is decreasing to zero. Our focus is on the estimation of the parameters in the …
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The asymmetric moving average model (asMA) is extended to allow forasymmetric quadratic conditional heteroskedasticity (asQGARCH). Theasymmetric parametrization of the conditional variance encompassesthe quadratic GARCH model of Sentana (1995). We introduce a framework fortesting asymmetries in...
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