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A structural break is viewed as a permanent change in the parameter vector of a model. Using taxonomies of all sources of forecast errors for both conditional mean and conditional variance processes, we consider the impacts of breaks and their relevance in forecasting models: (a) where the...
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In this study, we model realized volatility constructed from intraday high-frequency data. We explore the possibility of confusing long memory and structural breaks in the realized volatility of the following spot exchange rates: EUR/USD, EUR/JPY, EUR/CHF, EUR/GBP, and EUR/AUD. The results show...
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licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit http …
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variables may be fractionally integrated and the predictive relation may feature cointegration, we provide sup-Wald break tests …
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This paper explores the relationship between export, import, and output for Thailand over the period from 1990 to 2017. The threshold vector autoregressive (VAR) and threshold vector error correction (VEC) models were applied. The empirical evidence confirms that the export-led growth hypothesis...
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We develop a new Bayesian panel regression approach to estimating an unknown number of breaks and forecasting future … countries, we find that our heterogeneous panel forecasting method detects breaks with little delay in real time and that this …
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