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~institution:"Sonderforschungsbereich Quantifikation und Simulation Ökonomischer Prozesse"
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Härdle, Wolfgang
25
Lütkepohl, Helmut
19
Saikkonen, Pentti
17
Gil-Alaña, Luis A.
13
Güth, Werner
11
Föllmer, Hans
9
Herwartz, Helmut
9
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7
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6
Yang, Lijian
6
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5
Hildebrandt, Lutz
5
Horst, Ulrich
5
Jaschke, Stefan R.
5
Linton, Oliver
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Müller, Wieland
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5
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4
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4
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4
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3
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3
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Sonderforschungsbereich Quantifikation und Simulation Ökonomischer Prozesse
National Bureau of Economic Research
7,837
International Monetary Fund (IMF)
719
International Monetary Fund
574
Edward Elgar Publishing
426
OECD
348
Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München
347
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289
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281
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265
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258
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212
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177
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166
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166
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165
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Foerder Institute for Economic Research <Tēl-Āvîv>
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C.E.P.R. Discussion Papers
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108
University of Exeter / Department of Economics
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75
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75
Internationaler Währungsfonds
75
Technische Universität Dresden / Fakultät Wirtschaftswissenschaften
75
De Gruyter Oldenbourg
74
University of Warwick / Department of Economics
74
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Discussion papers of interdisciplinary research project 373
274
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ECONIS (ZBW)
274
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1
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 …
Persistent link: https://www.econbiz.de/10009578026
Saved in:
2
Modelling exchange rates
volatility
with multivariate long-memory ARCH processes
Teyssière, Gilles
-
1999
-
Rev.
We consider two multivariate long-memory ARCH models, which extend the univariate long-memory ARCH models, we first consider a long-memory extension of the restricted constant conditional correlations (CCC) model introduced by Bollerslev (1990), and we propose a new unrestricted conditional...
Persistent link: https://www.econbiz.de/10009579181
Saved in:
3
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 …
Persistent link: https://www.econbiz.de/10009615423
Saved in:
4
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
- 1998, namely FX-rates measured against the US dollar (USD) and the Japanese yen (JPY). Ta account for
volatility
e1ustering … prices. Having identified subperiods of homogeneous
volatility
dynamics we concentrate on stylized facts to distinguish these …
volatility
regimes. The bottom level of estimated
volatility
turns out be considerably higher during the second part of the …
Persistent link: https://www.econbiz.de/10009616784
Saved in:
5
Adaptive estimation for a time inhomogeneous stochastic-
volatility
model
Härdle, Wolfgang
;
Spokojnyj, Vladimir G.
;
Teyssière, …
-
2000
is the
volatility
coefficient which in turn obeys an autoregression type equation log v t = w + a S t- l + nt with an …
Persistent link: https://www.econbiz.de/10009582392
Saved in:
6
On the (nonlinear) relationship between exchange rate uncertainty and trade : an investigation of US trade figures in the Group of Seven
Herwartz, Helmut
(
contributor
)
-
2003
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001918978
Saved in:
7
The monetary model of the exchange rate : a structural interpretation
Moersch, Mathias
;
Nautz, Dieter
-
1998
We emphasize the importance of properly identifying the long-run relations underlying the monetary model of the exchange rate. The separate estimation of long-run money demands leads to a "structural" error correction equation which allows an interpretation of the various channels affecting the...
Persistent link: https://www.econbiz.de/10009574885
Saved in:
8
Cointegrating smooth transition regressions with applications to the Asian currency crisis
Saikkonen, Pentti
;
Choi, In
-
2000
This paper studies the smooth transition regression model where regressors are I(1) and errors are I(0). The regressors and errors are assumed to be dependent both serially and contemporaneously. Using the triangular array asymptotics, the nonlinear least squares estimator is shown to be...
Persistent link: https://www.econbiz.de/10009612025
Saved in:
9
Quantile hedging
Föllmer, Hans
;
Leukert, Peter
-
1998
which succeeds with high probability. -- Hedging ; superhedging ; Neyman Pearson lemma ; stochastic
volatility
; value at …
Persistent link: https://www.econbiz.de/10009574876
Saved in:
10
A note on stochastic
volatility
, GARCH models, and hyperbolic distributions
Jaschke, Stefan R.
-
1997
We establish a relation between stochastic
volatility
models and the class of generalized hyperbolic distributions …
Persistent link: https://www.econbiz.de/10009577459
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