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Forecasting with factor-augmented error correction models
Banerjee, Anindya; Marcellino, Massimiliano; Masten, Igor - In: International journal of forecasting 30 (2014) 3, pp. 589-612
Persistent link: https://www.econbiz.de/10010513599
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Forecasting with approximate dynamic factor models : the role of non-pervasive shocks
Luciani, Matteo - In: International journal of forecasting 30 (2013) 1, pp. 20-29
Persistent link: https://www.econbiz.de/10010243647
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Business tendency surveys and macroeconomic fluctuations
Kaufmann, Daniel; Scheufele, Rolf - 2015
encouraging. In a pseudo out-of-sample exercise, our approach beats relevant benchmarks for forecasting CPI inflation and an …
Persistent link: https://www.econbiz.de/10010508347
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Dynamic factor models with clustered loadings : forecasting education flows using unemployment data
Blasques, Francisco; Hoogerkamp, Meindert Heres; … - In: International journal of forecasting 37 (2021) 4, pp. 1426-1441
Persistent link: https://www.econbiz.de/10013274289
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Business tendency surveys and macroeconomic fluctuations
Kaufmann, Daniel; Scheufele, Rolf - In: International journal of forecasting 33 (2017) 4, pp. 878-893
Persistent link: https://www.econbiz.de/10011746922
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Generalized dynamic factor models and volatilities : estimation and forecasting
Barigozzi, Matteo; Hallin, Marc - 2015
Persistent link: https://www.econbiz.de/10011289224
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Dynamic factor Value-at-Risk for large heteroskedastic portfolios
Aramonte, Sirio; Giudice Rodriguez, Marius del; Wu, Jason - In: Journal of banking & finance 37 (2013) 11, pp. 4299-4309
Persistent link: https://www.econbiz.de/10010247041
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Measuring risk in fixed income portfolios using yield curve models
Caldeira, João F.; Moura, Guilherme Valle; Santos, … - In: Computational economics 46 (2015) 1, pp. 65-82
Persistent link: https://www.econbiz.de/10011441011
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Generalized dynamic factor models and volatilities : recovering the market volatility shocks
Barigozzi, Matteo; Hallin, Marc - In: The econometrics journal 19 (2016) 1, pp. 33-60
Persistent link: https://www.econbiz.de/10011487491
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The dynamic factor network model with an application to global credit risk
Bräuning, Falk; Koopman, Siem Jan - 2016 - This version: October 31, 2016
We introduce a dynamic network model with probabilistic link functions that depend on stochastically time-varying parameters. We adopt the widely used blockmodel framework and allow the highdimensional vector of link probabilities to be a function of a low-dimensional set of dynamic factors. The...
Persistent link: https://www.econbiz.de/10011562907