Classification: 5707: Time series analysis
Publications
Journal article
| 2021 |
Rezitis, Anthony N., Kastner, Gregor. 2021. On the joint volatility dynamics in international dairy commodity markets. Australian Journal of Agricultural and Resource Economics. 65 (3), 704-728.
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| 2020 |
Kastner, Gregor, Huber, Forian. 2020. Sparse Bayesian Vector Autoregressions in Huge Dimensions. Journal of Forecasting. 39 1142-1165.
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| 2019 |
Huber, Florian, Kastner, Gregor, Feldkircher, Martin. 2019. Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models. Journal of Applied Econometrics. 34 (5), 621-640.
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Kastner, Gregor. 2019. Sparse Bayesian Time-Varying Covariance Estimation in Many Dimensions. Journal of Econometrics. 210 (1), 98-115.
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| 2017 |
Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2017. Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility Models. Journal of Computational and Graphical Statistics. 26 (4), 905-917.
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| 2016 |
Kastner, Gregor. 2016. Dealing with Stochastic Volatility in Time Series Using the R Package stochvol. Journal of Statistical Software. 69 (5), 1-30.
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| Gschwandtner, Adelina, Hauser, Michael. 2016. Profit persistence and stock returns. Applied Economics 48 (37), 3538-3549. | (Details) | ||
| 2014 |
Kastner, Gregor, Frühwirth-Schnatter, Sylvia. 2014. Ancillarity-sufficiency interweaving strategy (ASIS) for boosting MCMC estimation of stochastic volatility models. Computational Statistics and Data Analysis. 76 408-423.
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| 2011 | Gonzaga, Alex, Hauser, Michael. 2011. A wavelet Whittle estimator of generalized long-memory stochastic volatility. Statistical Methods and Applications 20 23-48. | (Details) |
Chapter in edited volume
| 2019 |
Hosszejni, Darjus, Kastner, Gregor. 2019. Approaches Toward the Bayesian Estimation of the Stochastic Volatility Model with Leverage. In: Bayesian Statistics and New Generations - Selected Contributions from BAYSM 2018, Hrsg. Raffaele Argiento, Daniele Durante, Sara Wade, 75-83. Cham: Springer.
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Edited book (editorship)
| 2015 | Frühwirth-Schnatter, Sylvia, Bitto-Nemling, Angela, Kastner, Gregor, Posekany, Alexandra, Hrsg. 2015. Bayesian Statistics from Methods to Models and Applications - Research from BAYSM 2014. Switzerland: Springer International Publishing. | (Details) |
Contribution to conference proceedings
| 2015 | Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2015. Dynamic covariance estimation using sparse Bayesian factor stochastic volatility models. In Proceedings of the 30th International Workshop on Statistical Modelling, Volume 2, Hrsg. Herwig Friedl, Helga Wagner, S. 139-142. Linz: None. | (Details) | |
| 2014 | Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2014. Analysis of Exchange Rates via Multivariate Bayesian Factor Stochastic Volatility Models. In The Contribution of Young Researchers to Bayesian Statistics, Proceedings of BAYSM2013, Springer Proceedings in Mathematics & Statistics, Vol. 63, Hrsg. Ettore Lanzarone and Francesca Ieva, 181-185. Switzerland: Springer. | (Details) | |
| 2011 | Kastner, Gregor, Frühwirth-Schnatter, Sylvia. 2011. Improving efficiency of Bayesian stochastic volatility estimation by non-centering and interweaving. In Proceedings of the 17th European Young Statisticians Meeting (EYSM), Hrsg. Paulo C. Rodrigues, Miguel de Carvalho, 131-135. Lisboa, Portugal: Faculdade de Ciências e Tecnologia Universidade Nova de Lisboa. | (Details) |
Paper presented at an academic conference or symposium
| 2020 | Kastner, Gregor. 2020. Efficient Bayesian Computing in Many Dimensions - Applications in Economics and Finance. BAYESCOMP 2020, Gainesville, Vereinigte Staaten/USA, 07.01.-10.01. Invited Talk | (Details) | |
| Kastner, Gregor, Pettenuzzo, Davide, Timmermann, Allan. 2020. Time-varying Risk Premia and Volatility Dynamics in Multi-Asset Class Returns. Bayes@Austria 2020, Vienna, Austria, 28.11.-28.11. Invited Talk | (Details) | ||
| 2019 | Kastner, Gregor, Huber, Florian. 2019. Sparse Bayesian Vector Autoregressions in Huge Dimensions. 4th Vienna Workshop on High-Dimensional Time Series in Macroeconomics and Finance, Institute for Advanced Studies, Austria, 16.05.-17.05. | (Details) | |
| 2018 | Kastner, Gregor. 2018. Bayesian Inference in Many Dimensions: Examples from Macroeconomics and Finance. Bayesians Statistics in the Big Data Era, Marseille Luminy, France, 26.11.-30.11. Invited Talk | (Details) | |
| Kastner, Gregor. 2018. Dealing with Stochastic Volatility in Time Series Using the R packages stochvol and factorstochvol. 1st International Conference on Data Science in Finance with R (DSF-R), Vienna, Österreich, 13.09.14.09. Invited Talk | (Details) | ||
| Huber, Florian, Kastner, Gregor, Feldkircher, Martin. 2018. Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models. 12th International Conference on Computational and Financial Econometrics (CFE 2018), University of Pisa, Italy, 14.12.-16.12. Invited Talk | (Details) | ||
| Feldkircher, Martin, Huber, Florian, Kastner, Gregor. 2018. Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian VARs? 1st Vienna Workshop on Economic Forecasting, Institute for Advanced Studies, Vienna, Austria, 15.02.-16.02. | (Details) | ||
| Kastner, Gregor, Huber, Florian. 2018. Sparse Bayesian Vector Autoregressions in Huge Dimensions. BAYESCOMP 2018, Universitat Pompeu Fabra, Barcelona, Spain, 26.03.-28.03. Invited Talk | (Details) | ||
| 2017 | Huber, Florian, Kastner, Gregor, Feldkircher, Martin. 2017. A New Approach Toward Detecting Structural Breaks in Vector Autoregressive Models. 8th European Seminar on Bayesian Econometrcis (ESOBE 2017), Maastricht, Netherlands, 26.10.-27.10. | (Details) | |
| Feldkircher, Martin, Huber, Florian, Kastner, Gregor. 2017. Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian VARs? NBP Workshop on Forecasting, Narodowy Bank Polski, Poland, 20.11.-21.11. Invited Talk | (Details) | ||
| Kastner, Gregor. 2017. Sparse Bayesian time-varying covariance estimation in many dimensions. 61st World Statistics Congress (ISI 2017), Marrakech, Morocco, 16.07.-21.07. Invited Talk | (Details) | ||
| Pennerstorfer, Astrid, Reitzinger, Stephanie, Schneider, Ulrike. 2017. The Economic Crisis: Opportunity or Tribulation for the Social Services Sector? ESPAnet Austria 1. Forschungskonferenz Sozialpolitik, Wien, Österreich, 20.04.-21.04. | (Details) | ||
| 2016 | Kastner, Gregor. 2016. Sparse Bayesian time-varying covariance estimation in many dimensions. 10th International Conference on Computational and Financial Econometrics (CFE 2016), University of Seville, Spain, 09.12.-11.12. Invited Talk | (Details) | |
| Kastner, Gregor. 2016. Sparse time-varying covariance estimation in many dimensions. ISBA World Meeting, Sardinia, Italy, 13.06.-17.06. | (Details) | ||
| Kastner, Gregor. 2016. Sparse time-varying covariance estimation in many dimensions. 3rd Bayesian Young Statisticians Meeting (BAYSM 2016), Florence, Italy, 19.06.-21.06. | (Details) | ||
| Hauser, Michael. 2016. Using profit persistence to predict stock returns: An alternative model. CFE 2016 10th International Conference on Computational and Financial Econometrics, University of Seville, Spain, 09.12.-11.12. | (Details) | ||
| 2015 | Kastner, Gregor. 2015. Sparse Bayesian Latent Factor Stochastic Volatility Models for Dynamic Covariance Estimation in High-Dimensional Financial Time Series. NBER-NSF Time Series Conference, WU Vienna University of Economics and Business, Österreich, 25.09.-26.09. | (Details) | |
| Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2015. Sparse Bayesian Latent Factor Stochastic Volatility Models for High-Dimensional Financial Time Series. International Work-Conference on Time Series Analysis (ITISE 2015), Granada, Spanien, 01.07.-03.07. | (Details) | ||
| Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2015. Sparse Bayesian Latent Factor Stochastic Volatility Models for High-Dimensional Financial Time Series. 2nd Vienna Workshop on High-Dimensional Time Series in Macroeconomics and Finance, IHS Wien, Österreich, 21.05-22.05. | (Details) | ||
| Kastner, Gregor. 2015. Dealing with Dynamic Covariances in High-Dimensional Time Series: A Bayesian Approach. 9th CSDA International Conference on Computational and Financial Econometrics (CFE 2015), Senate House, University of London, United Kingdom, 12.12.-14.12. Invited Talk | (Details) | ||
| Gschwandtner, Adelina, Hauser, Michael. 2015. Profit Persistence and Stock Returns. CFE 2015, London, Großbritannien, 12.12.-14.12. | (Details) | ||
| Kastner, Gregor. 2015. Sparse Bayesian Latent Factor Stochastic Volatility Models for Dynamic Covariance Estimation in High-Dimensional Financial Time Series. 6th ESOBE Annual Conference, Study Center Gerzensee, Switzerland, Switzerland, 29.10.-30.10. | (Details) | ||
| 2014 | Kastner, Gregor. 2014. Dealing with stochastic volatility in time series using the R package stochvol. R/Finance, University of Illinois at Chicago, Vereinigte Staaten/USA, 16.05.-17.05. | (Details) | |
| Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2014. Sparse Bayesian Latent Factor Stochastic Volatility Models for High-Dimensional Financial Time Series. 11th German Probability and Statistics Days, Ulm University, Deutschland, 04.03.-07.03. | (Details) | ||
| Gonzaga, Alex, Hauser, Michael. 2014. Estimation of Generalized Long-Memory Stochastic Volatility: Whittle and Wavelets. CFE 2014, 8th International Conference on Computational and Financial Econometrics, Pisa, Italien, 06.12.-08.12. | (Details) | ||
| 2013 | Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2013. Sparse Bayesian Latent Factor Stochastic Volatility Models for High-Dimensional Financial Time Series. 7th CSDA International Conference on Computational and Financial Econometrics (CFE13), Senate House, University of London, Großbritannien, 14.12.-16.12. Invited Talk | (Details) | |
| Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2013. Analysis of Multivariate Financial Time Series via Bayesian Factor Stochastic Volatility Models. y-BIS 2013: Joint Meeting of Young Business and Industrial Statisticians, Mimar Sinan Fine Arts University, Istanbul, Türkei, 19.09.-21.09. Invited Talk | (Details) | ||
| Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2013. Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility (SV) Models. Joint Statistical Meetings, Montréal, Kanada, 03.08.-08.08. | (Details) | ||
| Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2013. Analysis of Exchange Rates via Multivariate Bayesian Factor Stochastic Volatility Models. 1st Bayesian Young Statisticians Meeting (BAYSM 2013), Milano, Italien, 05.06.-06.06. | (Details) | ||
| Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2013. Dealing with Stochastic Volatility in (Financial) Time Series: A Bayesian Approach. 1st WU-Workshop in Applied Econometrics (WUWAETRIX), WU Vienna University of Economics and Business, Österreich, 13.05. | (Details) | ||
| Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2013. Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility Models. 1st Vienna Workshop on High Dimensional Time Series in Macroeconomics and Finance, IHS Wien, Österreich, 02.05.-04.05. | (Details) | ||
| 2012 | Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2012. Strategies for Boosting MCMC Estimation of Multivariate Factor Stochastic Volatility (SV) Models. 17th Young Statisticians Meeting, Piran, Slowenien, 12.10.-14.10. Invited Talk | (Details) | |
| 2011 | Kastner, Gregor, Frühwirth-Schnatter, Sylvia. 2011. Improving MCMC Efficiency for Bayesian SV Estimation by Non-Centering and Interweaving. 17th European Young Statisticians Meeting, Universidade Nova de Lisboa, Portugal, 05.09.-09.09. Invited Talk | (Details) | |
| Kastner, Gregor, Frühwirth-Schnatter, Sylvia. 2011. Ancillarity-Sufficiency Interweaving Strategy (ASIS) for Boosting MCMC Estimation of Stochastic Volatility Models. 5th CSDA International Conference on Computational and Financial Econometrics (CFE'11), Senate House, University of London, Großbritannien, 17.12.-19.12. | (Details) | ||
| 2010 | Kastner, Gregor, Frühwirth-Schnatter, Sylvia. 2010. Efficient Bayesian Inference for Stochastic Volatility Models. 4th CSDA International Conference on Computational and Financial Econometrics (CFE'10), Senate House, University of London, Großbritannien, 10.12.-12.12. | (Details) | |
| 2009 | Gonzaga, Alex, Hauser, Michael. 2009. A Wavelet Whittle Estimator of Generalized Long-memory Stochastic Volatility. European Meeting of Statisticians, Toulouse, Frankreich, 20.07.-24.07. | (Details) |
Poster presented at an academic conference or symposium
| 2019 | Feldkircher, Martin, Huber, Florian, Kastner, Gregor. 2019. Sophisticated and small versus simple and sizeable: When does it pay off to introduce drifting coefficients in Bayesian VARs? 10th European Seminar on Bayesian Econometrics (ESOBE 2019), St. Andrews, United Kingdom, 02.09.-03.09. | (Details) | |
| 2018 | Kastner, Gregor, Huber, Florian. 2018. Sparse Bayesian Vector Autoregressions in Huge Dimensions. ISBA World Meeting 2018, Edinburgh, United Kingdom, 24.06.-29.06. | (Details) | |
| 2017 | Kastner, Gregor, Huber, Florian. 2017. Sparse Bayesian Vector Autoregressions in Huge Dimensions. 3rd Vienna Workshop on High-Dimensional Time Series in Macroeconomics and Finance, Vienna, Austria, 08.06.-09.06. | (Details) | |
| 2016 | Huber, Florian, Kastner, Gregor, Feldkircher, Martin. 2016. Should I Stay or Should I Go? Bayesian Inference in the Threshold Time Varying Parameter (TTVP) Model. 7th European Seminar on Bayesian Econometrics (ESOBE 2016), Venice, Italy, 27.10.-28.10. | (Details) | |
| Hauser, Michael. 2016. Using profit persistence to predict stock returns: An alternative model. ITISE 2016 International Work-Conference on Time Series Analysis, Granada, Spain, 27.06.-29.06. | (Details) | ||
| 2015 | Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2015. Dynamic covariance estimation using sparse Bayesian factor stochastic volatility models. 30th International Workshop on Statistical Modelling (IWSM 2015), Linz, Österreich, 06.07.-10.07. | (Details) | |
| 2012 | Bitto, Angela, Frühwirth-Schnatter, Sylvia. 2012. Time-Varying Parameter Models -Achieving Shrinkage and Variable Selection. European Seminar on Bayesian Econometrics (ESOBE), Wien, Wien, Österreich, 01.11-02.11. | (Details) | |
| Kastner, Gregor, Frühwirth-Schnatter, Sylvia, Lopes, Hedibert Freitas. 2012. Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility (SV) Models. European Seminar on Bayesian Econometrics (ESOBE), Wien, Österreich, 01.11.-02.11. | (Details) | ||
| 2011 | Kastner, Gregor, Frühwirth-Schnatter, Sylvia. 2011. Efficient Bayesian Inference for Stochastic Volatility Models. Workshop on Bayesian Inference for Latent Gaussian Models with Applications, Universität Zürich, Schweiz, 02.02.-05.02. | (Details) |
Working/discussion paper, preprint
| 2017 | Huber, Florian, Kastner, Gregor, Feldkircher, Martin. 2017. A New Approach Toward Detecting Structural Breaks in Vector Autoregressive Models. | (Details) | |
| Feldkircher, Martin, Huber, Florian, Kastner, Gregor. 2017. Sophisticated and Small Versus Simple and Sizeable: When Does it Pay Off to Introduce Drifting Coefficients in Bayesian VARs? | (Details) | ||
| Kastner, Gregor, Huber, Florian. 2017. Sparse Bayesian Vector Autoregressions in Huge Dimensions. | (Details) | ||
| 2016 | Bitto, Angela, Frühwirth-Schnatter, Sylvia. 2016. Achieving Shrinkage in a Time-Varying Parameter Model Framework. | (Details) | |
| Kastner, Gregor. 2016. Sparse Bayesian Time-Varying Covariance Estimation in Many Dimensions. | (Details) | ||
| 2015 |
Kastner, Gregor. 2015. Heavy-Tailed Innovations in the R Package stochvol. R Package Vignette.
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(Details) | |
| Kastner, Gregor. 2015. Dealing with Stochastic Volatility in Time Series Using the R Package stochvol. R Package Vignette. | (Details) |
Encyclopedia article
| 1985 | Hackl, Peter. 1985. Moving Sums (MOSUM). In Encyclopedia of Statistical Sciences, Volume 5, Hrsg. Samuel Kotz, Norman Johnson, 635-639. New York: Wiley and Sons. | (Details) |
Magazine/newspaper article
| 2019 | Hosszejni, Darjus, Kastner, Gregor. 2019. stochvol 2.0.0 - Stochastic volatility models with leverage in R. The ISBA Bulletin - The official bulletin of the International Society for Bayesian Analysis, 26.03.19 | (Details) | |
| 2014 | Posekany, Alexandra, Bitto-Nemling, Angela, Kastner, Gregor. 2014. News from BAYSM 2014. The ISBA Bulletin - The official bulletin of the International Society for Bayesian Analysis , 13.10.14 | (Details) |
Unpublished lecture
| 2018 | Kastner, Gregor. 2018. Efficient Bayesian Estimation of Univariate and Multivariate Stochastic Volatility Models. Summer School in Bayesian Econometrics, University of Kopenhagen, 10.08.18 | (Details) | |
| Kastner, Gregor. 2018. Ökonometrie zwischen Frequentismus und Bayes: Die Bayesianische Perspektive. SOLVXII - Debatten in der Ökonomie, WU Wien, 31.05.18 | (Details) | ||
| 2017 | Kastner, Gregor. 2017. Should I Stay or Should I Go? Bayesian Inference in the Threshold Time Varying Parameter (TTVP) Model. Brown Bag Seminar, Institute for Statistics and Mathematics, 08.03. | (Details) | |
| 2015 | Kastner, Gregor. 2015. Bayesian Estimation and Prediction of High-Dimensional Dynamic Covariance Matrices. Brown Bag Seminar, Institute for Statistics and Mathematics, 18.11. | (Details) | |
| 2013 | Kastner, Gregor. 2013. Bayes Goes Finance: A Simulation-Based Approach to Dealing With Heteroskedasticity in Time Series. Diskussionsforum Junge Statistik, Wien, 21.03. | (Details) |
Projects
- 2000
- Tax revenue forecasting and estimation in Austria (2000-2002) (Details)
- Multi-subject longitudinal models with random coefficients and patterned correlation structure (2000-2003) (Details)
- Clustering (financial) time series according to their predictability by automatically chosen predictors (2000-2002) (Details)
- 1999
- Forecasting foreign exchange rates using high frequency data (1999-2002) (Details)
- 1997
- Adaptive modelling in economics and management science (1997-2003) (Details)
- Multiperiod asset returns (1997-1998) (Details)
- Aggregation problems in the context of value-at-risk (1997-1998) (Details)
- 1994
- Estimation and testing the multifactor Cox-Ingersoll-Ross model of the term structure (1994-1999) (Details)
- 1992
- Portfolio selection under state-dependent return distributions (1992-1999) (Details)