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estimation of the state vector and of the time-varying parameters. We use this method to study the timevarying relationship …
Persistent link: https://www.econbiz.de/10012156426
Commodity prices co-move, but the strength of this co-movement changes over time due to structural factors, like changing energy intensity in production and consumption as well as changing composition of underlying shocks. This paper explores whether econometric models that exploit this...
Persistent link: https://www.econbiz.de/10014486704
heteroskedastic. After presenting the model, we propose a multi-step estimation technique which combines asymptotic principal … results in order to assess the finite sample properties of the estimation technique. Finally, we carry out two empirical …
Persistent link: https://www.econbiz.de/10003969239
We test whether a simple measure of corporate insolvency based on equity return volatility - and denoted as Distance to Insolvency (DI) - delivers better predictions of corporate default than the widely-used Expected Default Frequency (EDF) measure computed by Moody's. We look at the predictive...
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"We consider various MIDAS (Mixed Data Sampling) regression models to predict volatility. The models differ in the specification of regressors (squared returns, absolute returns, realized volatility, realized power, and return ranges), in the use of daily or intra-daily (5-minute) data, and in...
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