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This paper analyses US nominal house prices at an annual frequency over the period from 1927 to 2022 by means of a very general time series model. This includes both a (linear and non-linear) deterministic and a stochastic component, with the latter allowing for fractional orders of integration...
Persistent link: https://www.econbiz.de/10014427184
capital integration with cointegration techniques. This approach minimizes the risk of accepting the null of no cointegration … provide partial support in favor of cointegration, and therefore for capital markets integration, among stock market indices … when proper attention is given to issues like the identification and temporal stability of the cointegration vectors as …
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The bootstrap of test statistics requires the re-estimation of the model's parameters for each bootstrap sample. When parameter estimates are not available in closed form, this procedure becomes computationally demanding as each replication requires the numerical optimization of an objective...
Persistent link: https://www.econbiz.de/10012905998
Usage of Monte Carlo simulation for pricing requires a well defined and accurate market implied distribution of risk factors. Overlay, on top of these simulated risk factors, one can also generate conditional prices based on the set of underlying risk factors at future time horizons. The ability...
Persistent link: https://www.econbiz.de/10013114643
We show in this article that fractionally integrated univariate models for GDP may lead to a better replication of business cycle characteristics. We firstly show that the business cycle features are clearly affected by the degree of integration as well as by the other short run components of...
Persistent link: https://www.econbiz.de/10009614295
We make use in this article of a testing procedure suggested by Robinson (1994) for testing deterministic seasonality versus seasonal fractional integration. A new test statistic is developed to simultaneously test both, the order of integration of the seasonal component and the need of seasonal...
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