Asymmetric time series respond to innovations with one of two different rules according to whether the innovation is positive or negative. Quoted industrial prices are apparently such a series. It has been observed that when market conditions change, quoted prices are not revised immediately. This delay operates more strongly against reductions in price quotations than against increases. A statistical model for such asymmetric times series is developed and analyzed. An estimation procedure is given as well as a statistical test of the hypothesis of symmetry versus the alternative of asymmetry. Asymmetric time series models are fit to several economic time series.
No takes yet. Share an insight, caveat, or question.
William E. Wecker (1981) studied this question.
Synapse has enriched 2 closely related papers on similar clinical questions. Consider them for comparative context: