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~institution:"CESifo"
~institution:"Erasmus University Rotterdam, Econometric Institute"
~person:"McAleer, M.J."
~person:"Treutler, Björn-Jakob"
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Bayesian Tail Risk Forecasting...
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GARCH
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risk management
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asymmetry
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exchange rates
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global financial crisis
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McAleer, M.J.
Treutler, Björn-Jakob
Pesaran, M. Hashem
5
Bos, C.S.
4
Dijk, H.K. van
4
Chang, C-L.
3
Gronwald, Marc
3
Mahieu, R.J.
3
Schuermann, Til
3
Birbil, S.I.
2
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2
Dijk, D.J.C. van
2
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2
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2
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2
Jimenez-Martin, J-A.
2
Kaynar, B.
2
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2
Perez-Amaral, T.
2
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2
Zikovic, Sasa
2
Auer, Benjamin R.
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1
Baruník, Jozef
1
Bauwens, L.
1
Cao, Jin
1
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1
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1
Chu, L.F.
1
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CESifo
Erasmus University Rotterdam, Econometric Institute
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1
It Pays to Violate: How Effective are the Basel Accord Penalties?
Veiga, B. da
;
Chan, F.
;
McAleer, M.J.
-
Erasmus University Rotterdam, Econometric Institute
-
2009
The internal models amendment to the Basel Accord allows banks to use internal models to forecast Value-at-Risk (VaR) thresholds, which are used to calculate the required capital that banks must hold in reserve as a protection against negative changes in the value of their trading portfolios. As...
Persistent link: https://www.econbiz.de/10008484079
Saved in:
2
The ten commandments for optimizing value-at-risk and daily capital charges
McAleer, M.J.
-
Erasmus University Rotterdam, Econometric Institute
-
2008
Credit risk is the most important type of risk in terms of monetary value. Another key risk measure is market risk, which is concerned with stocks and bonds, and related financial derivatives, as well as exchange rates and interest rates. This paper is concerned with market risk management and...
Persistent link: https://www.econbiz.de/10005056578
Saved in:
3
Risk management of precious metals
Hammoudeh, S.M.
;
Malik, F.
;
McAleer, M.J.
-
Erasmus University Rotterdam, Econometric Institute
-
2010
compute the VaR for major precious metals using the calibrated RiskMetrics, different
GARCH
models, and the semi …
Persistent link: https://www.econbiz.de/10008484085
Saved in:
4
How Volatile is ENSO?
Chu, L.F.
;
McAleer, M.J.
;
Chen, C-C.
-
Erasmus University Rotterdam, Econometric Institute
-
2009
both the ARMA(1,1)-
GARCH
(1,1) and ARMA(3,2)-GJR(1,1) models are suitable for modelling ENSO volatility. Moreover, 1998 is a …
Persistent link: https://www.econbiz.de/10005034225
Saved in:
5
Daily Tourist Arrivals, Exchange Rates and Volatility for Korea and Taiwan
Chang, C-L.
;
McAleer, M.J.
-
Erasmus University Rotterdam, Econometric Institute
-
2009
the
GARCH
(1,1), GJR(1,1) and EGARCH(1,1) models for Korean tourist arrivals to Taiwan and the Korean Won / New Taiwan …
Persistent link: https://www.econbiz.de/10008570643
Saved in:
6
Daily tourist arrivals, exchange rates and volatility for Korea and Taiwan
Chang, C-L.
;
McAleer, M.J.
-
Erasmus University Rotterdam, Econometric Institute
-
2009
the
GARCH
(1,1), GJR(1,1) and EGARCH(1,1) models for Korean tourist arrivals to Taiwan and the Korean Won / New Taiwan …
Persistent link: https://www.econbiz.de/10008584711
Saved in:
7
Aggregation, Heterogeneous Autoregression and Volatility of Daily International Tourist Arrivals and Exchange Rates
Chang, C-L.
;
McAleer, M.J.
-
Erasmus University Rotterdam, Econometric Institute
-
2010
conditional mean specifications. The QMLE for the
GARCH
(1,1), GJR(1,1) and EGARCH(1,1) models for world, US and Japanese tourist …
Persistent link: https://www.econbiz.de/10008584742
Saved in:
8
Structure and Asymptotic theory for Nonlinear Models with
GARCH
Errors
Chan, F.
;
McAleer, M.J.
;
Medeiros, M.C.
-
Erasmus University Rotterdam, Econometric Institute
-
2011
- Maximum Likelihood Estimator for a general nonlinear conditional mean model with first-order
GARCH
errors. …
Persistent link: https://www.econbiz.de/10008800914
Saved in:
9
A decision rule to minimize daily capital charges in forecasting value-at-risk
McAleer, M.J.
;
Jimenez-Martin, J-A.
;
Perez-Amaral, T.
-
Erasmus University Rotterdam, Econometric Institute
-
2008
Under the Basel II Accord, banks and other Authorized Deposit-taking Institutions (ADIs) have to communicate their daily risk estimates to the monetary authorities at the beginning of the trading day, using a variety of Value-at-Risk (VaR) models to measure risk. Sometimes the risk estimates...
Persistent link: https://www.econbiz.de/10005056585
Saved in:
10
Forecasting Value-at-Risk Using Nonlinear Regression Quantiles and the Intraday Range
Chen, C.W.S.
;
Gerlach, R.
;
Hwang, B.B.K.
;
McAleer, M.J.
-
Erasmus University Rotterdam, Econometric Institute
-
2011
Value-at-Risk (VaR) is commonly used for financial risk measurement. It has recently become even more important, especially during the 2008-09 global financial crisis. We propose some novel nonlinear threshold conditional autoregressive VaR (CAViar) models that incorporate intra-day price...
Persistent link: https://www.econbiz.de/10009150025
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