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We develop a multivariate unobserved components model to extract business cycle and financial cycle indicators from a panel of economic and financial time series of four large developed economies. Our model is flexible and allows for the inclusion of cycle components in different selections of...
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, namely North Sea, USA, Middle East, and South-East Asia. Associated with these regions are two major financial centers …, namely UK and USA. For these reasons, the data to be used are the returns on alternative crude oil markets, returns on crude … oil derivatives, specifically futures, and stock index returns in UK and USA. The paper will also analyze the Chinese …
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This paper features an analysis of major currency exchange rate movements in relation to the US dollar, as constituted in US dollar terms. Euro, British pound, Chinese yuan, and Japanese yen are modelled using a variety of non-linear models, including smooth transition regression models,...
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We adopt an unobserved components time series model to extract financial cycles for the United States and the five largest euro area countries over the period 1970 to 2014. We find that credit, the credit-to-GDP ratio and house prices have medium-term cycles which share a few common statistical...
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. For the USA, daily spot and futures prices are available for crude oil and coal, but there are no daily spot or futures …
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This paper applies the Hafner and Herwartz (2006) (hereafter HH) approach to the analysis of multivariate GARCH models using volatility impulse response analysis. The data set features ten years of daily returns series for the New York Stock Exchange Index and the FTSE 100 index from the London...
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