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Any measure of unobserved inflation uncertainty relies on specific assumptions which are most likely not fulfilled completely. This calls into question whether an individual measure delivers a reliable signal. To reduce idiosyncratic measurement error, we propose using common information...
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Renditeverteilung existieren und sich überwiegend auch ein Leverage-Effekt identifizieren lässt. Durch eine ARMA-GARCH …
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variables, interest rates, and inflation rate on two Islamic stock market indices. Using time series analysis such as GARCH the …
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Volatility (SV) and Generalised Autoregressive Conditional Heteroskedasticity (GARCH) models which are both extended to include … outperforms the GARCH model. …
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GARCH model. The GDFM, applied to a large number of series, captures the multivariate information and disentangles the … a GARCH.We compare GDFM+GARCH and standard GARCH performance on two samples up to 171 series, providing one …-step-ahead volatility predictions of returns. The GDFM+GARCH model outperforms the standard GARCH in most cases. These results are robust …
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The present paper sheds further light on a well-known (alleged) violation of the expectations hypothesis of the term structure (EHT) - the frequent finding of unit roots in interest rate spreads. We show that the EHT implies (i) that the nonstationarity stems from the holding premium, which is...
Persistent link: https://www.econbiz.de/10010281525
equity premium. In addition, the model predicts: (v) the GARCH property of risky asset returns; (vi) the Forward Discount …
Persistent link: https://www.econbiz.de/10011608491