PROGRAMME ERCIM08 and CFE08
PLENARY TALKS
PARALLEL SESSIONS
Parallel session B | Thursday, 19.06.2008 | 10:15 - 12:15 |
Session ES02 | Room: GPA |
Variable selection and robustness | Chair: Stefan Van Aelst |
#53: S. Flores | |
On the efficient calculation of robust regression estimators | |
#98: P. Buhlmann | |
Robustness for high-dimensional data analysis | |
#9: C. Croux, S. Gelper | |
Variable selection for time series forecasting using the groupwise LARS algorithm | |
#93: S. Van Aelst, J. Khan, R. Zamar | |
Fast robust variable selection with missing data |
Session ES15 | Room: B104 |
Time series estimation and prediction | Chair: Anna Staszewska |
#50: M. Pipien | |
A coordinate free conditional distribution in BEKK model: Bayesian analysis for WSE | |
#74: G. Sbrana | |
Aggregation of vector ARMA processes: some further results | |
#69: A. Staszewska | |
Confidence bands for VAR forecast paths |
Session ES16 | Room: GB1 |
Statistics with incomplete data | Chair: Gil Gonzalez-Rodriguez |
#83: M. Steinbrecher, R. Kruse | |
Pruning decision trees with fuzzy concepts | |
#84: R. Cao, J. Vilar, M. Ausin | |
Aggregate loss models: a nonparametric approach | |
#85: W. Trutschnig | |
A possible extension of upper and lower probabilities to the case of fuzzy random variables | |
#99: A. Colubi, M. Gil | |
Hypothesis testing about the means of fuzzy random variables. | |
#102: G. Gonzalez-Rodriguez | |
Fuzzy techniques in the analysis of distributions of real random variables. |
Session CS01 | Room: E003 |
Time series and financial econometrics | Chair: Christian Francq |
#15: A. El Ghini | |
Asymptotic properties of sample inverse autocorrelations under weak assumptions | |
#9: F. Pegoraro, H. Bertholon, A. Monfort | |
Econometric asset pricing modelling | |
#48: J. Zakoian, C. Francq | |
Testing the nullity of GARCH coefficients : correction of the standard tests and relative efficiency comparisons | |
#53: A. Gautier | |
A guided tour of periodic time series models and applications |
Session CS04 | Room: B013 |
Decision making under uncertainty | Chair: Daniel Kuhn |
#13: D. Gerogiorgis, E. Pistikopoulos | |
Fractal scaling in crude oil price evolution via time series analysis of historical data | |
#28: R. Hochreiter | |
Evaluating and extending clustering techniques to generate financial scenarios for stochastic programming models | |
#33: E. Constantinide, C. Charalambous, S. Martzoukos | |
Option pricing on non-recombining implied trees assuming serial dependence of returns | |
#243: S. Zymler, B. Rustem, D. Kuhn | |
Optimal derivative Insurance for robust portfolio optimisation | |
#123: D. Kuhn, P. Parpas, B. Rustem | |
Dynamic mean-variance portfolio analysis under model risk |
Session CS06 | Room: GGA |
Multivariate GARCH | Chair: Marc Paolella |
#16: S. Broda, M. Paolella | |
CHICAGO: a fast and accurate method for portfolio risk calculation | |
#23: C. Bos, R. Kraeussl | |
Optimal portfolio allocation using daily correlation modelling | |
#29: A. Palandri | |
Sequential conditional correlations: inference and evaluation | |
#251: G. Gallo, F. Cipollini | |
Semiparametric vector MEM |
Session CS13 | Room: B103 |
Applied macroeconometrics | Chair: Martin Wagner |
#31: K. Neusser, H. Dellas, M. Walti | |
Fiscal policy in open economies | |
#39: D. Burren | |
The role of sectoral shifts in the great moderation | |
#56: G. Baeurle, D. Burren | |
Business cycle accounting with model consistent expectations | |
#67: M. Wagner, S. Hong | |
Nonlinear cointegration analysis of the enivronmental kuznets |
Session CS17 | Room: AUM |
Dynamic factor models: analysis and real-time forecasting | Chair: Christian Schumacher |
#54: G. Moretti, L. Monteforte | |
Real time forecasts of inflation: the role of financial variables | |
#185: V. Bystrov | |
Forecasting performance of dynamic factor models in short samples with structural breaks | |
#49: C. Schumacher, M. Marcellino | |
Factor-MIDAS for now- and forecasting with ragged-edge data: a model comparison for German GDP | |
#93: M. Deistler, B. Anderson | |
Generalized linear dynamic factor models - a structure theory |
Session CS18 | Room: ALG |
Financial econometrics - 1 | Chair: Michael Wolf |
#57: L. Mancini, J. Fan | |
Option pricing with aggregation of physical models and nonparametric statistical learning | |
#60: L. Camponovo, O. Scaillet, F. Trojani | |
Robust fast subsampling for time series | |
#109: A. Vaona | |
The sensitivity of nonparametric misspecification tests to disturbance autocorrelation | |
#55: M. Wolf, O. Ledoit | |
Robust performance hypothesis testing with the Sharpe ratio |
Session CS25 | Room: B217 |
Credit risk, financial markets and computational methods | Chair: Sandra Paterlini |
#85: D. Fantazzini | |
Forecasting the default probability without accounting data | |
#107: J. Paha, M. Lyra, P. Winker, S. Paterlini | |
Optimization heuristics for determining internal rating grading scales | |
#115: M. Lyra, P. Winker, C. Sharpe | |
Least median of squares estimation by optimization heuristics with an application to the CAPM | |
#161: A. Cipollini, F. Fiordelisi | |
Systemic risk in the European banking system | |
#122: T. Yener, S. Mittnik | |
Estimating risk capital for correlated rare events |
Parallel session C | Thursday, 19.06.2008 | 14:00 - 16:00 |
Session ES06 | Room: GGA |
Computational methods for mixtures | Chair: Sylvia Fruehwirth-Schnatter |
#19: B. Gruen, F. Leisch | |
Finite mixture model diagnostics using the bootstrap | |
#15: P. Deschamps | |
A flexible prior distribution for markov switching autoregressions with student-t errors | |
#14: H. Lopes, N. Polson, C. Carvalho, M. Johannes | |
On mixture of Kalman filtering and learning | |
#3: S. Fruehwirth-Schnatter | |
Bayesian estimation of finite mixtures of univariate and multivariate skew-normal and skew-t distributions |
Session ES17 | Room: GB1 |
Probabilistic methods in learning problems | Chair: Ana Colubi |
#67: U. Kaymak | |
Probabilistic fuzzy systems in financial modelling | |
#49: M. Verleysen, D. Francois | |
Parameter-free feature selection with mutual information | |
#87: T. Martin, Y. Shen | |
Fuzzy text mining and digital obesity | |
#96: S. Borra, A. Di Ciaccio | |
The estimation of prediction error for neural networks: a simulation study. | |
#114: C. Charalambous | |
Application of neural networks and support vector machines to pricing European options |
Session ES22 | Room: GPA |
Robustness with high dimensional data | Chair: Stefan Van Aelst |
#7: E. Roelant, S. Van Aelst, G. Willems | |
Fast bootstrap for robust Hotelling tests | |
#11: G. Willems, E. Vandervieren, S. Van Aelst | |
Stahel-Donoho estimators with cellwise weights | |
#6: K. Boudt, C. Croux, S. Laurent | |
Outlyingness weighted quadratic covariation | |
#64: A. Christmann, I. Steinwart | |
On non-parametric robust quantile regression by support vector machines |
Session CS02 | Room: B013 |
International financial management | Chair: Ana-Maria Fuertes |
#4: J. Olmo, J. Gonzalo | |
Optimal asset allocation under comovements and downside-risk measures | |
#41: A. Audzeyeva | |
Sovereign rating transitions: finite-sample properties of alternative estimators | |
#125: W. Semmler, L. Bernard | |
The credit crisis: a regime-change approach to analyzing imbedded markets | |
#210: O. Sheremet, A. Lucas | |
Dependence in the insurance sector and possibilities for international diversification | |
#222: Y. Mert Kantar, M. Memmedli, I. Usta | |
Analysis of multi-objective portfolio models for the Istanbul stock exchange |
Session CS09 | Room: AUM |
Non-linear estimation, multivariate and structural models | Chair: Lynda Khalaf |
#73: A. Prokhorov | |
Likelihood based estimation for multivariate time series processes | |
#100: A. Maynard, D. Bauer | |
Persistence-robust causality testing | |
#166: G. Kundhi, P. Rilstone | |
Edgeworth expansions for nonlinear estimators | |
#193: B. Chu, G. Christodoulakis | |
A method to estimate the preference structure of joint financial forecast decisions | |
#24: M. Kichian, J. Dufour, L. Khalaf | |
Examining the role of real wage rigidities for Canadian inflation |
Session CS12 | Room: E003 |
Integer valued time series and related topics - 1 | Chair: Konstantinos Fokianos |
#138: R. Jung, A. Tremayne | |
Count time series with overdispersed data | |
#101: F. Drost, R. van den Akker, B. Werker | |
Efficient estimation of semiparametric integer-valued autoregressive models | |
#36: G. Kauermann | |
Specification of landmarks and forecasting water temperature | |
#208: A. Rahbek, K. Fokianos, D. Tjostheim | |
Poisson autoregression Integer valued GARCH | |
#228: I. Usta, A. Shamilov, Y. Mert Kantar | |
The new models for skew and kurtotic data via maximum entropy distributions based on specified moment functions |
Session CS14 | Room: B103 |
Financial risk management | Chair: Cathy W.S. Chen |
#35: P. Yu, E. Wu, W. Li | |
Value-at-Risk estimation using flexible ICA-GARCH models | |
#34: C. Chen, W. Lee | |
Bayesian forecasting for financial risk management | |
#192: A. Amendola, G. Storti | |
Combination of conditional covariance matrix forecasts | |
#91: W. Yip, M. So | |
Dependence measures for risk management | |
#246: G. Stahl, H. Zwiesler, D. Reuss, D. Bergmann | |
Computational aspects of nested Monte Carlo simulations for risk management purposes |
Session CS15 | Room: B104 |
Risk management | Chair: Zhengjun Zhang |
#40: J. Hill | |
Tail and non-tail memory with applications to GARCH processes | |
#239: G. De Rossi | |
Equity volatility and the business cycle: a factor model approach | |
#195: T. Wenger | |
Quantile approximation in small models for integrated risk management | |
#148: T. Niguez, J. Perote | |
The general moments expansion: an application for financial risk | |
#95: A. Derviz | |
Computing equilibria of a fast-trading electronically brokered security market model |
Session CS31 | Room: ALG |
Inference in time series and econometrics | Chair: Alessandra Luati |
#184: M. Gerolimetto, L. Bisaglia, I. Procidano | |
Changes in regime and cointegration analysis | |
#225: R. Seri, C. Choirat | |
Computing weighted chi-square distributions and related quantities | |
#158: J. Beran, S. Ghosh, M. Schutzner | |
From short to long memory: aggregation and estimation | |
#214: L. Fanelli | |
Likelihood-based recursive tests of the adaptive learning hypothesis | |
#162: A. Luati, T. Proietti | |
On the equivalence between the weighted least squares and the generalised least squares estimators, with applications to kernel smoothing |
Session CS36 | Room: B217 |
Time series forecasting | Chair: Marc Wildi |
#176: P. Dechpichai, P. Davy | |
A nonlinear neural network approach to simultaneous prediction of non-constant mean and volatility for long-tailed distribution | |
#10: M. Willner | |
Forecasting international stock market returns | |
#244: S. Mittnik, C. Pigorsch, U. Pigorsch | |
A multivariate generalized hyperbolic stochastic volatility model and the use of realized covariances | |
#71: M. Wildi | |
Winner of the NN3-forecasting competition: an application of customized optimization criteria in forecasting |
Parallel session E | Friday, 20.06.2008 | 09:00 - 11:00 |
Session ES08 | Room: GPA |
Statistical software | Chair: Petko Yanev |
#20: S. Klinke, C. Wagner | |
Visualizing exploratory factor analysis models | |
#105: S. Theussl | |
Getting the most out of your CPUs: parallel computing strategies in R | |
#65: A. Bejan | |
Tracy-Widom and Painleve II: computational aspects and realisation in S-Plus |
Session ES09 | Room: B104 |
Statistics for dependent data and econometric models | Chair: Jean-Michel Zakoian |
#25: C. Francq, J. Zakoian | |
Inconsistency of the QMLE and asymptotic normality of the weighted LSE for a class of conditionally heteroscedastic models | |
#28: P. Alquier | |
PAC-Bayesian bounds and model selection | |
#31: H. Raissi | |
Autocorrelation based tests for vector error correction models with uncorrelated but nonindependent errors | |
#32: H. Harari-Kermadec | |
Regenerative block empirical likelihood for Markov chains |
Session ES18 | Room: GB1 |
Intelligent data analysis | Chair: Christian Borgelt |
#56: E. Come, T. Denoeux, L. Oukhellou, P. Aknin | |
Learning from data with soft class labels using mixture models and belief functions | |
#72: F. Klawonn | |
Probabilistic noise clustering as M-estimators | |
#75: J. Sousa, S. Vieira | |
Multi-criteria ant feature selection in intelligent classification | |
#97: C. Borgelt | |
Accelerating fuzzy clustering |
Session CS05 | Room: B217 |
Markov-switching models for financial returns | Chair: A. Amendola |
#14: D. Ardia | |
Bayesian estimation of a Markov-switching threshold GJR model | |
#106: L. Morales-Arias, T. Lux | |
Forecasting volatility under fractality, regime-switching, long memory and Student-t innovations | |
#30: A. Valdesogo Robles | |
Modeling international financial returns with a multivariate regime switching copula | |
#124: M. Demetrescu, T. Alp | |
Joint forecasts of Dow Jones stocks under general multivariate loss function |
Session CS22 | Room: B103 |
Asset price dynamics and portfolio choice | Chair: Willi Semmler |
#150: M. Lopez, N. Rodriguez, J. Prada | |
Financial accelerator mechanism: evidence for Colombia | |
#164: W. Semmler, L. Gruene, K. Oehrlein | |
Dynamic consumption and portfolio decisions with time varying asset returns | |
#99: J. Ramalho, J. Silva | |
A two-part fractional regression model for capital structure choices | |
#197: D. Ferrari, S. Paterlini, F. Pattarin | |
Efficient and robust estimation of asset returns via the Maximum Lq-Likelihood method |
Session CS24 | Room: ALG |
Time series and signal extraction | Chair: Tommaso Proietti |