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 |