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Over the past couple of decades a number of studies were untaken using USA macroeconomic time series to conclude that asymmetries do prevail in these time series during the course of business cycles. Efforts to analyze business cycles asymmetries using international data were quite sparse although it would be interesting to know if business cycle in all the countries of the world were alike. If they are not, it would pose a serious challenge to macroeconomic theorists to develop theories of business cycles that can explain economic fluctuations in different countries of the world without…mehr

Produktbeschreibung
Over the past couple of decades a number of studies were untaken using USA macroeconomic time series to conclude that asymmetries do prevail in these time series during the course of business cycles. Efforts to analyze business cycles asymmetries using international data were quite sparse although it would be interesting to know if business cycle in all the countries of the world were alike. If they are not, it would pose a serious challenge to macroeconomic theorists to develop theories of business cycles that can explain economic fluctuations in different countries of the world without relying on country specific institutional factors. That is the reason the present book employs parametric alternate regime switching models and non-parametric techniques such as artificial neural networks to test business cycle asymmetries as a first step in Canada, France, Japan, UK, and USA macroeconomic time series. The books also identifies strengths and weaknesses of the different approachesemployed for testing business cycle asymmetries in addition to comparing the superiority of one technique over the other.
Autorenporträt
Khurshid Kiani holds a Ph.D from Kansas State University. At present he is an Associate Professor in the Department of Finance at Bang College of Business, KIMEP, Almaty, Kazakhstan, and teaches at undergraduate as well as at DBA level. His research interest center on conventional statistical modeling that encompasses stable distributions.