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A variance decomposition analysis for Swiss housing and stock returns: An empirical analysis using aggregate Swiss housing and stock data - Couverture souple

 
9786139451890: A variance decomposition analysis for Swiss housing and stock returns: An empirical analysis using aggregate Swiss housing and stock data

Synopsis

In this study, I use a variance ratio test derived from the Campbell-Shiller return decomposition to test whether there is evidence of a bubble in Swiss housing and stock returns for the period 1980 to 2016. Vector autoregressive models (VAR models) containing macro variables, i.e. real interest rates, real per capita Gross Domestic Product (GDP) growth and a term spread variable, and cash flow data are used for the stock and housing market to model cash flow derived returns of the housing and stock market. From the Campbell-Shiller decomposition the unexpected housing and stock return variance is decomposed into cash flow and return news components. This analysis’ findings are that while stock return volatility is driven predominantly by fundamentals like dividend growth, the housing market’s unexpected return variance can also be explained mainly by the cash flow (i.e. rent growth) news component, although the variance decomposition is not very robust with respect to the underlying VAR-model. Finally, a variance-ratio test suggested by Engsted and Tanggard (2001) is computed to test whether there were bubbles in the housing and/or stock market.

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Marty, Rudolf
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this study, I use a variance ratio test derived from the Campbell-Shiller return decomposition to test whether there is evidence of a bubble in Swiss housing and stock returns for the period 1980 to 2016. Vector autoregressive models (VAR models) containing macro variables, i.e. real interest rates, real per capita Gross Domestic Product (GDP) growth and a term spread variable, and cash flow data are used for the stock and housing market to model cash flow derived returns of the housing and stock market. From the Campbell-Shiller decomposition the unexpected housing and stock return variance is decomposed into cash flow and return news components. This analysis' findings are that while stock return volatility is driven predominantly by fundamentals like dividend growth, the housing market's unexpected return variance can also be explained mainly by the cash flow (i.e. rent growth) news component, although the variance decomposition is not very robust with respect to the underlying VAR-model. Finally, a variance-ratio test suggested by Engsted and Tanggard (2001) is computed to test whether there were bubbles in the housing and/or stock market. 56 pp. Englisch. N° de réf. du vendeur 9786139451890

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Marty RudolfRudolf Marty studied economics at Zuerich University where he received his Ph.D. After being at the KOF Swiss Research Institute, he worked as an analyst in various financial institutions and in an insurance company from. N° de réf. du vendeur 385858866

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Taschenbuch. Etat : Neu. Neuware -In this study, I use a variance ratio test derived from the Campbell-Shiller return decomposition to test whether there is evidence of a bubble in Swiss housing and stock returns for the period 1980 to 2016. Vector autoregressive models (VAR models) containing macro variables, i.e. real interest rates, real per capita Gross Domestic Product (GDP) growth and a term spread variable, and cash flow data are used for the stock and housing market to model cash flow derived returns of the housing and stock market. From the Campbell-Shiller decomposition the unexpected housing and stock return variance is decomposed into cash flow and return news components. This analysis¿ findings are that while stock return volatility is driven predominantly by fundamentals like dividend growth, the housing market¿s unexpected return variance can also be explained mainly by the cash flow (i.e. rent growth) news component, although the variance decomposition is not very robust with respect to the underlying VAR-model. Finally, a variance-ratio test suggested by Engsted and Tanggard (2001) is computed to test whether there were bubbles in the housing and/or stock market.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Englisch. N° de réf. du vendeur 9786139451890

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this study, I use a variance ratio test derived from the Campbell-Shiller return decomposition to test whether there is evidence of a bubble in Swiss housing and stock returns for the period 1980 to 2016. Vector autoregressive models (VAR models) containing macro variables, i.e. real interest rates, real per capita Gross Domestic Product (GDP) growth and a term spread variable, and cash flow data are used for the stock and housing market to model cash flow derived returns of the housing and stock market. From the Campbell-Shiller decomposition the unexpected housing and stock return variance is decomposed into cash flow and return news components. This analysis' findings are that while stock return volatility is driven predominantly by fundamentals like dividend growth, the housing market's unexpected return variance can also be explained mainly by the cash flow (i.e. rent growth) news component, although the variance decomposition is not very robust with respect to the underlying VAR-model. Finally, a variance-ratio test suggested by Engsted and Tanggard (2001) is computed to test whether there were bubbles in the housing and/or stock market. N° de réf. du vendeur 9786139451890

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