We compare small-sample properties of Bayes estimation and maximum likelihood estimation (MLE) of ARMA-GARCH models. Our Monte Carlo experiments indicate that in small sample, the Bayes estimator beats the MLE. We also develop a Bayes method of testing strict stationarity and ergodicity of the...

The main objective of this model is to analyse the simultaneous determination of market share and advertising expenditure under dynamic conditions. The authors' empirical analysis is applied to the case of the Eisai Company within the Japanese pharmaceutical industry from 1959 to 1969. Although...

Earlier the first author built an oligopolistic model of the American automobile firms, demonstrating the possibility of econometric model building at the firm level. In the present paper, on the basis of detailed corporate data, we advance this effort further using a more elaborate behavioral...

Three Bayesian methods (Markov chain Monte Carlo, Laplace approximation and quadrature formula) are developed to estimate the parameters of the ARMA-GARCH model. The ARMA-GARCH model is applied to weekly foreign exchange rate data of five major currencies, and their stochastic volatilities are...