Integration, Kointegration und die Langzeitprognose von Kreditausfallzyklen

Integration, Cointegration and Long-Horizont Forecasting of Credit-Default-Cycles

Matthias Wagatha

MPRA Paper from University Library of Munich, Germany

Abstract: Summary: This paper examines the longterm forecast performance of cointegrated systems relative to forecast performance of comparable VAR that fails to recognize that the system is characterized by cointegration. I use Monte Carlo simulation, real data sets, and multi-step-ahead forecasts to study this question. The cointegrated system I examine is composed of six vectors, five macoreconomic variables, and a credit-default-cycle. The forecasts produced by the vector error correction modell associated with this system are compared with those obtained from a corresponding differenced vector autoregression, as well as a vector autoregression based upon the levels of the data. Alternative measures of forecast accuracy (full-system) are discussed. My findings suggest that selective forecast performance improvement may be observed by incorporating knowledge of cointegration rank. Furthermore the results indicate that a cointegration modeling of credit risk should be favored against the prevalent level or differenced estimation.

Keywords: Integration; Kointegration; Langzeitprognose; Kreditausfallzyklus; Integration; Cointegration; Forecasting; Credit-default-cycle (search for similar items in EconPapers)
JEL-codes: C32 C53 (search for similar items in EconPapers)
Date: 2007-07-01
New Economics Papers: this item is included in nep-for, nep-ore and nep-rmg
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