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The multivariate analysis of a panel of economic and financial time series with mixed frequencies is a challenging problem. The standard solution is to analyze the mix of monthly and quarterly time series jointly by means of a multivariate dynamic model with a monthly time index: artificial...
Persistent link: https://www.econbiz.de/10010391543
short-term forecasting models. These empirical findings have been established for different macroeconomic data sets and … specification is most effective in its forecasting performance. Furthermore, the forecast performances of the different … extended empirical out-of-sample forecasting competition for quarterly growth of gross domestic product in the euro area and …
Persistent link: https://www.econbiz.de/10010395082
forecasting performance of the various model specifications. The extension of a basic growth model with a constant mean to models … expectations is important for forecasting growth in specific periods, such as the the recession periods around 2000s and around …
Persistent link: https://www.econbiz.de/10010399680
We propose to pool alternative systemic risk rankings for financial institutions using the method of principal components. The resulting overall ranking is less affected by estimation uncertainty and model risk. We apply our methodology to disentangle the common signal and the idiosyncratic...
Persistent link: https://www.econbiz.de/10010532581
We develop Hawkes models in which events are triggered through self as well as cross-excitation. We examine whether incorporating cross-excitation improves the forecasts of extremes in asset returns compared to only self-excitation. The models are applied to US stocks, bonds and dollar exchange...
Persistent link: https://www.econbiz.de/10011376256
forecasting techniques, e.g. correlation forecasts based on historical values and on a dynamic conditional correlation (DCC) model … varied. We find that the applied volatility forecasting models have a strong influence on the expected net present value … distribution and on the probability of default. In contrast, correlation forecasting models play a minor role. Time resolution and …
Persistent link: https://www.econbiz.de/10010305715
forecasting model for another variable, and hence our use of terminology such as ?out-of-sample Granger causality? (see e …
Persistent link: https://www.econbiz.de/10010263216
We bring together some recent advances in the literature on vector autoregressive moving-average models creating a relatively simple specification and estimation strategy for the cointegrated case. We show that in the cointegrated case with fixed initial values there exists a so-called final...
Persistent link: https://www.econbiz.de/10010316827
This study examines the evolution of econometric research in business cycle analysis during the 1960-90 period. It shows how the research was dominated by an assimilation of the tradition of NBER business cycle analysis by the Haavelmo-Cowles Commission approach, catalysed by time-series...
Persistent link: https://www.econbiz.de/10010280775
In this chapter we discuss model selection and predictive accuracy tests in the context of parameter and model uncertainty under recursive and rolling estimation schemes. We begin by summarizing some recent theoretical findings, with particular emphasis on the construction of valid bootstrap...
Persistent link: https://www.econbiz.de/10010282865