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The empirical determinants of the Euro : short and long run perspectives
Chinn, Menzie David - 2000
estimation methodologies such as single-equation error correction and first differences specifications. A longer term perspective …
Persistent link: https://www.econbiz.de/10009583879
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Testing for short and long-run causality : the case of the yield spread and economic growth
Breitung, Jörg; Candelon, Bertrand - 2001
To assess the predictive content of the interest rate term spread for future economic growth, we distinguish short-run from long-run predictability by using two different approaches. First, following Dufour and Renault (1998) a test procedure is proposed to test for causality at different...
Persistent link: https://www.econbiz.de/10009617950
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Fractional cointegration and real exchange rates
Caporale, Guglielmo Maria; Gil-Alaña, Luis A. - 2000
This paper uses fractional integration and cointegration in order to model the DM/dollar and the yen/dollar real exchange rates in terms of both monetary and real factors, more specifically real interest rate and labour productivity differentials. We find that whilst the individual series may be...
Persistent link: https://www.econbiz.de/10009611542
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Testing the purchasing power parity in pooled systems of error correction models
Herwartz, Helmut; Reimers, Hans-Eggert - 2000
In this paper we test the purchasing power parity for the post Bretton Woods period for 18 main industrial countries. As base currencies we use alternatively the Deutsche mark, the Japanese yen, and the US dollar. We employ error correction models for single countries and on the level of pooled...
Persistent link: https://www.econbiz.de/10009612044
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Estimation and testing for varying coefficients in additive models with marginal integration
Yang, Lijian; Härdle, Wolfgang; Park, Byeong U. - 2002
We propose marginal integration estimation and testing methods for the coefficients of varying coefficient multivariate … regression model. Asymptotic distribution theory is developed for the estimation method which enjoys the same rate of convergence … as univariate function estimation. For the test statistic, asymptotic normal theory is established. These theoretical …
Persistent link: https://www.econbiz.de/10009627286
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The monetary model of the exchange rate : a structural interpretation
Moersch, Mathias; Nautz, Dieter - 1998
exchange rate. The separate estimation of long-run money demands leads to a "structural" error correction equation which allows …
Persistent link: https://www.econbiz.de/10009574885
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Flexible stochastic volatility structures for high frequency financial data
Feldmann, David; Härdle, Wolfgang; Hafner, Christian M.; … - 1998
Stochastic Volatility (SV) models are widely used in financial applications. To decide whether standard parametric restrictions are justified for a given dataset, a statistical test is required. In this paper, we develop such a test based on the linear state space representation. We provide a...
Persistent link: https://www.econbiz.de/10009578026
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Modelling exchange rates volatility with multivariate long-memory ARCH processes
Teyssière, Gilles - 1999 - Rev.
, and the Deutschmark-US dollar. The estimation results for both models show: (i) that the unrestricted model outperforms …
Persistent link: https://www.econbiz.de/10009579181
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Empirical modeling of the DEM/USD and DEM/JPY foreign exchange rate: Structural shifts in GARCH-models and their implications
Herwartz, Helmut; Reimers, Hans-Eggert - 2001
We analyze daily changes of two log foreign exchange (FX) rates involving the Deutsche Mark (DEM) for the period 1975 - 1998, namely FX-rates measured against the US dollar (USD) and the Japanese yen (JPY). Ta account for volatility e1ustering we fit a GARCH(l,l)-model with leptokurtic...
Persistent link: https://www.econbiz.de/10009616784
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Multivariate volatility models
Fengler, Matthias R.; Herwartz, Helmut - 2001
Multivariate Volatility Models belong to the class of nonlinear models for financial data. Here we want to focus on multivariate GARCH models. These models assume that the variance of the innovation distribution follows a time dependent process conditional on information which is generated by...
Persistent link: https://www.econbiz.de/10009615423