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Forecast performance of artificial neural network models are investigated using Ashley et al . (1980) and the neural network nonlinearity test proposed by Lee et al . (1993) is employed to find possible existence of business cycle asymmetries in Canada, France, Japan, UK and USA real GDP growth...
Persistent link: https://www.econbiz.de/10005495867
We investigate whether the emergence of high inflation rates after 1965 and large budget deficits after 1980s caused the financial market agents to become more sensitive to the outlooks for inflation and budget deficits. Our approach is parametric and our models fully account for possible...
Persistent link: https://www.econbiz.de/10005388479
The present study investigates possible existence of time varying risk premia in Brazilian real, Chinese yuan; Cypriot pound, Danish krone, Eurozone euro, French franc, Indian rupee, Japanese yen, Pakistani rupee, and British pound forward foreign exchange rates against US dollar. Exchange rates...
Persistent link: https://www.econbiz.de/10010738030
We investigate business cycle asymmetries in the real GDP of eleven selected Asian economies using nonlinear switching time series models and artificial neural networks. Results based on neural network linearity tests show evidence of business cycle asymmetries in all series. Results based on...
Persistent link: https://www.econbiz.de/10010837274
This research explores the risk associated with the stocks prices in the seventeen selected companies that are listed in Indian BSE (100) National as well as portfolios of investment that are constructed from these seventeen companies employed. Additionally, for considering the possibility of...
Persistent link: https://www.econbiz.de/10010574577
Persistent link: https://www.econbiz.de/10006428943
In this research, monthly forward exchange rates are evaluated for possible existence of time varying risk premia in Singapore forward foreign exchange rates against US dollar. The time varying risk premia in Singapore dollar is modeled using non-Gaussian signal plus noise models that encompass...
Persistent link: https://www.econbiz.de/10004964020
We employ artificial neural networks using macro-financial variables to predict recessions. We model the relationship between indicator variables and recessions to periods into the future and employ a procedure that penalizes a misclassified recession more than a misclassified non-recession. Our...
Persistent link: https://www.econbiz.de/10005063012
Persistent link: https://www.econbiz.de/10005612866
We investigate whether business cycle dynamics in seven industrialized countries (the G7) are characterized by asymmetries in conditional mean. We provide evidence on this issue using a variety of time series models. Our approach is fully parametric. Our testing strategy is robust to any...
Persistent link: https://www.econbiz.de/10005186845