9
H index
8
i10 index
217
Citations
Giuseppe Storti : Citation Profile
Università degli Studi di Salerno | RESEARCH PRODUCTION: 19 Articles 27 Papers 1 Chapters RESEARCH ACTIVITY:
MORE DETAILS IN: ABOUT THIS REPORT:
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24 years (2000 - 2024). Relations with other researchers
Works with: Authors registered in RePEc who have co-authored more than one work in the last five years with Giuseppe Storti. | Is cited by:
| Cites to:
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Main data
Where Giuseppe Storti has published?
| Journals with more than one article published | # docs |
|---|---|
| International Journal of Forecasting | 3 |
| JRFM | 3 |
| Statistical Methods & Applications | 3 |
| Computational Statistics & Data Analysis | 2 |
| Working Papers Series with more than one paper published | # docs |
|---|---|
| MPRA Paper / University Library of Munich, Germany | 5 |
| Papers / arXiv.org | 3 |
| Computing in Economics and Finance 2006 / Society for Computational Economics | 2 |
Recent works citing Giuseppe Storti (2025 and 2024)
| Year | Title of citing document |
|---|---|
| 2024 | Adaptive combinations of tail-risk forecasts. (2024). Amendola, Alessandra ; Candila, Vincenzo ; Storti, Giuseppe ; Naimoli, Antonio. In: Papers. RePEc:arx:papers:2406.06235. Full description at Econpapers || Download paper |
| 2024 | Detecting Structural breakpoints in natural gas and electricity wholesale prices via Bayesian ensemble approach, in the era of energy prices turmoil of 2022 period: the cases of ten European markets. (2024). Gavalakis, George ; Evangelidis, George ; Papaioannou, George P. In: Papers. RePEc:arx:papers:2410.07224. Full description at Econpapers || Download paper |
| 2024 | Autoencoder Enhanced Realised GARCH on Volatility Forecasting. (2024). Zhang, Lingxiang ; Storti, Giuseppe ; Gerlach, Richard ; Wang, Chao ; Zhao, Qianli. In: Papers. RePEc:arx:papers:2411.17136. Full description at Econpapers || Download paper |
| 2024 | Forecasting realized covariances using HAR-type models. (2024). Tafakori, Laleh ; Quiroz, Matias ; Manner, Hans. In: Papers. RePEc:arx:papers:2412.10791. Full description at Econpapers || Download paper |
| 2025 | Selection Confidence Sets for Equally Weighted Portfolios. (2025). Ferrari, Davide ; Fulci, Alessandro ; Paterlini, Sandra. In: Papers. RePEc:arx:papers:2510.14988. Full description at Econpapers || Download paper |
| 2024 | Estimating Value at Risk and Expected Shortfall: A Kalman Filter Approach. (2024). van der Lecq, Max ; van Vuuren, Gary. In: International Journal of Economics and Financial Issues. RePEc:eco:journ1:2024-01-1. Full description at Econpapers || Download paper |
| 2025 | A long short-term memory enhanced realized conditional heteroskedasticity model. (2025). Kohn, Robert ; Tran, Minh-Ngoc ; Wang, Chao ; Liu, Chen. In: Economic Modelling. RePEc:eee:ecmode:v:142:y:2025:i:c:s0264999324002797. Full description at Econpapers || Download paper |
| 2024 | Edgeworth expansions for multivariate random sums. (2024). Mazur, Stepan ; Loperfido, Nicola ; Javed, Farrukh. In: Econometrics and Statistics. RePEc:eee:ecosta:v:31:y:2024:i:c:p:66-80. Full description at Econpapers || Download paper |
| 2024 | Can inflation predict energy price volatility?. (2024). Batten, Jonathan ; Mo, DI ; Pourkhanali, Armin. In: Energy Economics. RePEc:eee:eneeco:v:129:y:2024:i:c:s0140988323006564. Full description at Econpapers || Download paper |
| 2024 | Forecasting exchange rate volatility: An amalgamation approach. (2024). Souropanis, Ioannis ; Alexandridis, Antonios K ; Panopoulou, Ekaterini. In: Journal of International Financial Markets, Institutions and Money. RePEc:eee:intfin:v:97:y:2024:i:c:s1042443124001331. Full description at Econpapers || Download paper |
| 2024 | Forecasting day-ahead expected shortfall on the EUR/USD exchange rate: The (I)relevance of implied volatility. (2024). Vrost, Toma ; Plihal, Toma ; Lyocsa, Tefan. In: International Journal of Forecasting. RePEc:eee:intfor:v:40:y:2024:i:4:p:1275-1301. Full description at Econpapers || Download paper |
| 2024 | On the estimation of Value-at-Risk and Expected Shortfall at extreme levels. (2024). Wang, Shixuan ; Lazar, Emese ; Pan, Jingqi. In: Journal of Commodity Markets. RePEc:eee:jocoma:v:34:y:2024:i:c:s2405851324000102. Full description at Econpapers || Download paper |
| 2025 | Volatility forecasting and volatility-timing strategies: A machine learning approach. (2025). Ryu, Doojin ; Cho, Hoon ; Chun, Dohyun. In: Research in International Business and Finance. RePEc:eee:riibaf:v:75:y:2025:i:c:s0275531924005166. Full description at Econpapers || Download paper |
| 2024 | Forecasting Realized Covariances Using HAR-Type Models. (2024). Manner, Hans ; Tafakori, Laleh ; Quiroz, Matias. In: Graz Economics Papers. RePEc:grz:wpaper:2024-20. Full description at Econpapers || Download paper |
| 2025 | Volume-driven time-of-day effects in intraday volatility models. (2025). Batista, Igor Ferreira ; Virbickait, Audron ; Nguyen, Hoang ; Lopes, Hedibert Freitas. In: Working Papers. RePEc:hhs:oruesi:2025_014. Full description at Econpapers || Download paper |
| 2025 | Regular Variable Returns to Scale Production Frontier and Efficiency Measurement. (2025). He, Xinju ; Lee, Shu Kam ; Tsang, Chun Kei ; Ko, Sung. In: Operations Research. RePEc:inm:oropre:v:73:y:2025:i:5:p:2830-2848. Full description at Econpapers || Download paper |
| 2024 | High-frequency enhanced VaR: A robust univariate realized volatility model for diverse portfolios and market conditions. (2024). Kuang, Wei. In: PLOS ONE. RePEc:plo:pone00:0303962. Full description at Econpapers || Download paper |
| 2024 | Influence of Local and Global Economic Policy Uncertainty on the Volatility of US State-Level Equity Returns: Evidence from a GARCH-MIDAS Approach with Shrinkage and Cluster Analysis. (2024). GUPTA, RANGAN ; Gallo, Giampiero ; Cepni, Oguzhan ; Candila, Vincenzo. In: Working Papers. RePEc:pre:wpaper:202437. Full description at Econpapers || Download paper |
| 2025 | Forecasting cryptocurrency volatility: a novel framework based on the evolving multiscale graph neural network. (2025). Zhou, Yang ; Xie, Chi ; Zhu, You ; Gong, Jue ; Wang, Gang-Jin. In: Financial Innovation. RePEc:spr:fininn:v:11:y:2025:i:1:d:10.1186_s40854-025-00768-x. Full description at Econpapers || Download paper |
| 2025 | Stock return forecasting based on the proxy variables of category factors. (2025). Zhao, Yuan ; Gong, Xue ; Zhang, Weiguo ; Xu, Weijun. In: Financial Innovation. RePEc:spr:fininn:v:11:y:2025:i:1:d:10.1186_s40854-025-00779-8. Full description at Econpapers || Download paper |
| 2024 | Forecasting EUA futures volatility with geopolitical risk: evidence from GARCH-MIDAS models. (2024). Gao, Qiujin ; Xiao, Ling ; Lu, Hengzhen ; Dhesi, Gurjeet. In: Review of Managerial Science. RePEc:spr:rvmgts:v:18:y:2024:i:7:d:10.1007_s11846-023-00722-0. Full description at Econpapers || Download paper |
| 2025 | Forecasting Expected Shortfall and Value‐at‐Risk With Cross‐Sectional Aggregation. (2025). Wang, Yongqiao. In: Journal of Forecasting. RePEc:wly:jforec:v:44:y:2025:i:2:p:391-423. Full description at Econpapers || Download paper |
Works by Giuseppe Storti:
| Year | Title | Type | Cited |
|---|---|---|---|
| 2021 | Nonparametric Expected Shortfall Forecasting Incorporating Weighted Quantiles In: Papers. [Full Text][Citation analysis] | paper | 6 |
| 2022 | Nonparametric expected shortfall forecasting incorporating weighted quantiles.(2022) In: International Journal of Forecasting. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 6 | article | |
| 2021 | Modelling uncertainty in financial tail risk: a forecast combination and weighted quantile approach In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2024 | A semi-parametric dynamic conditional correlation framework for risk forecasting In: Papers. [Full Text][Citation analysis] | paper | 0 |
| 2009 | A Component GARCH Model with Time Varying Weights In: Studies in Nonlinear Dynamics & Econometrics. [Full Text][Citation analysis] | article | 36 |
| 2007 | A component GARCH model with time varying weights.(2007) In: LIDAM Discussion Papers CORE. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 36 | paper | |
| 2009 | A component GARCH model with time varying weights.(2009) In: LIDAM Reprints CORE. [Citation analysis] This paper has nother version. Agregated cites: 36 | paper | |
| 2007 | A Component GARCH Model with Time Varying Weights.(2007) In: Discussion Papers (ECON - Département des Sciences Economiques). [Full Text][Citation analysis] This paper has nother version. Agregated cites: 36 | paper | |
| 2006 | A component GARCH model with time varying weights.(2006) In: Computing in Economics and Finance 2006. [Citation analysis] This paper has nother version. Agregated cites: 36 | paper | |
| 2006 | A GARCH (1,1) estimator with (almost) no moment conditions on the error term In: LIDAM Discussion Papers CORE. [Full Text][Citation analysis] | paper | 1 |
| 2012 | Computationally efficient inference procedures for vast dimensional realized covariance models In: LIDAM Discussion Papers CORE. [Full Text][Citation analysis] | paper | 3 |
| 2013 | Computationally efficient inference procedures for vast dimensional realized covariance models.(2013) In: LIDAM Reprints CORE. [Citation analysis] This paper has nother version. Agregated cites: 3 | paper | |
| 2012 | Dynamic conditional correlation models for realized covariance matrices In: LIDAM Discussion Papers CORE. [Full Text][Citation analysis] | paper | 21 |
| 2014 | Forecasting comparison of long term component dynamic models for realized covariance matrices In: LIDAM Discussion Papers CORE. [Full Text][Citation analysis] | paper | 21 |
| 2016 | Forecasting comparison of long term component dynamic models for realized covariance matrices.(2016) In: LIDAM Reprints CORE. [Citation analysis] This paper has nother version. Agregated cites: 21 | paper | |
| 2016 | A dynamic component model for forecasting high-dimensional realized covariance matrices In: LIDAM Discussion Papers CORE. [Full Text][Citation analysis] | paper | 17 |
| 2017 | A dynamic component model for forecasting high-dimensional realized covariance matrices.(2017) In: LIDAM Reprints CORE. [Citation analysis] This paper has nother version. Agregated cites: 17 | paper | |
| 2017 | A dynamic component model for forecasting high-dimensional realized covariance matrices.(2017) In: Econometrics and Statistics. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 17 | article | |
| 2020 | A Dynamic Component Model for Forecasting High-Dimensional Realized Covariances Matrices.(2020) In: Working Papers. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 17 | paper | |
| 2016 | Multiplicative Conditional Correlation Models for Realized Covariance Matrices In: LIDAM Discussion Papers CORE. [Full Text][Citation analysis] | paper | 6 |
| 2017 | Least squares estimation for GARCH (1,1) model with heavy tailed errors In: LIDAM Discussion Papers CORE. [Full Text][Citation analysis] | paper | 0 |
| 2014 | Least squares estimation for GARCH (1,1) model with heavy tailed errors.(2014) In: MPRA Paper. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 0 | paper | |
| 2006 | Minimum distance estimation of GARCH(1,1) models In: Computational Statistics & Data Analysis. [Full Text][Citation analysis] | article | 9 |
| 2008 | A GMM procedure for combining volatility forecasts In: Computational Statistics & Data Analysis. [Full Text][Citation analysis] | article | 7 |
| 2022 | Improving the accuracy of tail risk forecasting models by combining several realized volatility estimators In: Economic Modelling. [Full Text][Citation analysis] | article | 8 |
| 2019 | Heterogeneous component multiplicative error models for forecasting trading volumes In: International Journal of Forecasting. [Full Text][Citation analysis] | article | 2 |
| 2019 | Heterogeneous component multiplicative error models for forecasting trading volumes.(2019) In: MPRA Paper. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 2 | paper | |
| 2020 | A Model Confidence Set approach to the combination of multivariate volatility forecasts In: International Journal of Forecasting. [Full Text][Citation analysis] | article | 15 |
| 2020 | Improving Many Volatility Forecasts Using Cross-Sectional Volatility Clusters In: JRFM. [Full Text][Citation analysis] | article | 2 |
| 2020 | Financial Time Series: Methods and Models In: JRFM. [Full Text][Citation analysis] | article | 0 |
| 2021 | Forecasting Volatility and Tail Risk in Electricity Markets In: JRFM. [Full Text][Citation analysis] | article | 3 |
| 2009 | Combination of multivariate volatility forecasts In: SFB 649 Discussion Papers. [Full Text][Citation analysis] | paper | 13 |
| 2005 | Evaluating Business Incentives Through DEA. An Analysis on Capitalia Firm Data In: MPRA Paper. [Full Text][Citation analysis] | paper | 2 |
| 2018 | Time Varying Heteroskedastic Realized GARCH models for tracking measurement error bias in volatility forecasting In: MPRA Paper. [Full Text][Citation analysis] | paper | 0 |
| 2018 | Time Varying Heteroskedastic Realized GARCH models for tracking measurement error bias in volatility forecasting.(2018) In: MPRA Paper. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 0 | paper | |
| 2000 | A NON LINEAR TIME SERIES APPROACH TO MODELLING ASYMMETRY IN STOCK MARKET INDEXES In: Computing in Economics and Finance 2000. [Full Text][Citation analysis] | paper | 2 |
| 2002 | A non-linear time series approach to modelling asymmetry in stock market indexes.(2002) In: Statistical Methods & Applications. [Full Text][Citation analysis] This paper has nother version. Agregated cites: 2 | article | |
| 2006 | The combination of volatility forecasts In: Computing in Economics and Finance 2006. [Citation analysis] | paper | 0 |
| 2003 | Likelihood inference in BL-GARCH models In: Computational Statistics. [Full Text][Citation analysis] | article | 4 |
| 2021 | A GARCH-Type Model with Cross-Sectional Volatility Clusters In: Springer Books. [Citation analysis] | chapter | 0 |
| 2002 | Measuring cross-country technological catch-up through variable-parameter FDH In: Statistical Methods & Applications. [Full Text][Citation analysis] | article | 6 |
| 2003 | BL-GARCH models and asymmetries in volatility In: Statistical Methods & Applications. [Full Text][Citation analysis] | article | 12 |
| 2020 | Corporate Governance, Investment, Profitability and Insolvency Risk: Evidence from Italy In: Advances in Management and Applied Economics. [Full Text][Citation analysis] | article | 3 |
| 2020 | Time-varying parameters realized GARCH models for tracking attenuation bias in volatility dynamics In: Quantitative Finance. [Full Text][Citation analysis] | article | 6 |
| 2017 | Least‐squares estimation of GARCH(1,1) models with heavy‐tailed errors In: Econometrics Journal. [Full Text][Citation analysis] | article | 2 |
| 2015 | Model Uncertainty and Forecast Combination in High‐Dimensional Multivariate Volatility Prediction In: Journal of Forecasting. [Full Text][Citation analysis] | article | 10 |
| 2009 | Combination of multivariate volatility forecasts In: SFB 649 Discussion Papers. [Full Text][Citation analysis] | paper | 0 |
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