Giuseppe Storti : Citation Profile


Are you Giuseppe Storti?

Università degli Studi di Salerno

8

H index

6

i10 index

185

Citations

RESEARCH PRODUCTION:

19

Articles

26

Papers

1

Chapters

RESEARCH ACTIVITY:

   23 years (2000 - 2023). See details.
   Cites by year: 8
   Journals where Giuseppe Storti has often published
   Relations with other researchers
   Recent citing documents: 10.    Total self citations: 17 (8.42 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/pst454
   Updated: 2024-01-16    RAS profile: 2022-11-04    
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Relations with other researchers


Works with:

Amendola, Alessandra (2)

Authors registered in RePEc who have co-authored more than one work in the last five years with Giuseppe Storti.

Is cited by:

Bauwens, Luc (11)

Maheu, John (7)

bouoiyour, jamal (7)

Selmi, Refk (7)

Haas, Markus (7)

DIONGUE, Abdou Ka (6)

Clements, Adam (6)

Hafner, Christian (6)

Laurent, Sébastien (5)

Amendola, Alessandra (5)

Quaedvlieg, Rogier (5)

Cites to:

Engle, Robert (53)

Bollerslev, Tim (46)

Bauwens, Luc (29)

Shephard, Neil (28)

Andersen, Torben (25)

Patton, Andrew (21)

Hansen, Peter (20)

Gallo, Giampiero (18)

Laurent, Sébastien (16)

Lunde, Asger (16)

Diebold, Francis (15)

Main data


Where Giuseppe Storti has published?


Journals with more than one article published# docs
JRFM3
Statistical Methods & Applications3
International Journal of Forecasting3
Computational Statistics & Data Analysis2

Working Papers Series with more than one paper published# docs
MPRA Paper / University Library of Munich, Germany5
Papers / arXiv.org3
Computing in Economics and Finance 2006 / Society for Computational Economics2

Recent works citing Giuseppe Storti (2024 and 2023)


YearTitle of citing document
2023Portfolio constructions in cryptocurrency market: A CVaR-based deep reinforcement learning approach. (2023). Zhang, Yongmin ; Jin, Huan ; Ding, Shusheng ; Cui, Tianxiang. In: Economic Modelling. RePEc:eee:ecmode:v:119:y:2023:i:c:s0264999322003157.

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2023Modeling realized covariance measures with heterogeneous liquidity: A generalized matrix-variate Wishart state-space model. (2023). Hartkopf, Jan Patrick ; Gribisch, Bastian. In: Journal of Econometrics. RePEc:eee:econom:v:235:y:2023:i:1:p:43-64.

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2023Unrestricted maximum likelihood estimation of multivariate realized volatility models. (2023). Golosnoy, Vasyl ; Vogler, Jan. In: European Journal of Operational Research. RePEc:eee:ejores:v:304:y:2023:i:3:p:1063-1074.

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2023Assessment of advanced demand response value streams for water heaters in renewable-rich electricity markets. (2023). Rosengarten, Gary ; Hasan, Kazi N ; Stanley, Cameron ; Clift, Dean Holland. In: Energy. RePEc:eee:energy:v:267:y:2023:i:c:s0360544222034648.

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2023From BASEL III to BASEL IV and beyond: Expected shortfall and expectile risk measures. (2023). Nedeltchev, Dragomir C ; Zaevski, Tsvetelin S. In: International Review of Financial Analysis. RePEc:eee:finana:v:87:y:2023:i:c:s1057521923001618.

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2023Challenging golden standards in EWMA smoothing parameter calibration based on realized covariance measures. (2023). Reh, Laura ; Hartkopf, Jan Patrick. In: Finance Research Letters. RePEc:eee:finlet:v:56:y:2023:i:c:s1544612323005019.

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2023DCC- and DECO-HEAVY: Multivariate GARCH models based on realized variances and correlations. (2023). Bauwens, Luc ; Xu, Yongdeng. In: International Journal of Forecasting. RePEc:eee:intfor:v:39:y:2023:i:2:p:938-955.

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2023.

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2023Composite forecasting of vast-dimensional realized covariance matrices using factor state-space models. (2023). Hartkopf, Jan Patrick. In: Empirical Economics. RePEc:spr:empeco:v:64:y:2023:i:1:d:10.1007_s00181-022-02245-1.

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2023Modeling uncertainty in financial tail risk: A forecast combination and weighted quantile approach. (2023). Wang, Chao ; Storti, Giuseppe. In: Journal of Forecasting. RePEc:wly:jforec:v:42:y:2023:i:7:p:1648-1663.

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Works by Giuseppe Storti:


YearTitleTypeCited
2021Nonparametric Expected Shortfall Forecasting Incorporating Weighted Quantiles In: Papers.
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paper2
2022Nonparametric expected shortfall forecasting incorporating weighted quantiles.(2022) In: International Journal of Forecasting.
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This paper has nother version. Agregated cites: 2
article
2021Modelling uncertainty in financial tail risk: a forecast combination and weighted quantile approach In: Papers.
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paper0
2023A multivariate semi-parametric portfolio risk optimization and forecasting framework In: Papers.
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paper0
2009A Component GARCH Model with Time Varying Weights In: Studies in Nonlinear Dynamics & Econometrics.
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article35
2007A component GARCH model with time varying weights.(2007) In: LIDAM Discussion Papers CORE.
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This paper has nother version. Agregated cites: 35
paper
2009A component GARCH model with time varying weights.(2009) In: LIDAM Reprints CORE.
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This paper has nother version. Agregated cites: 35
paper
2007A Component GARCH Model with Time Varying Weights.(2007) In: Discussion Papers (ECON - Département des Sciences Economiques).
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This paper has nother version. Agregated cites: 35
paper
2006A component GARCH model with time varying weights.(2006) In: Computing in Economics and Finance 2006.
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This paper has nother version. Agregated cites: 35
paper
2006A GARCH (1,1) estimator with (almost) no moment conditions on the error term In: LIDAM Discussion Papers CORE.
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paper1
2012Computationally efficient inference procedures for vast dimensional realized covariance models In: LIDAM Discussion Papers CORE.
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paper3
2013Computationally efficient inference procedures for vast dimensional realized covariance models.(2013) In: LIDAM Reprints CORE.
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This paper has nother version. Agregated cites: 3
paper
2012Dynamic conditional correlation models for realized covariance matrices In: LIDAM Discussion Papers CORE.
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paper21
2014Forecasting comparison of long term component dynamic models for realized covariance matrices In: LIDAM Discussion Papers CORE.
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paper19
2016Forecasting comparison of long term component dynamic models for realized covariance matrices.(2016) In: LIDAM Reprints CORE.
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This paper has nother version. Agregated cites: 19
paper
2016A dynamic component model for forecasting high-dimensional realized covariance matrices In: LIDAM Discussion Papers CORE.
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paper16
2017A dynamic component model for forecasting high-dimensional realized covariance matrices.(2017) In: LIDAM Reprints CORE.
[Citation analysis]
This paper has nother version. Agregated cites: 16
paper
2017A dynamic component model for forecasting high-dimensional realized covariance matrices.(2017) In: Econometrics and Statistics.
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This paper has nother version. Agregated cites: 16
article
2020A Dynamic Component Model for Forecasting High-Dimensional Realized Covariances Matrices.(2020) In: Working Papers.
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This paper has nother version. Agregated cites: 16
paper
2016Multiplicative Conditional Correlation Models for Realized Covariance Matrices In: LIDAM Discussion Papers CORE.
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paper6
2017Least squares estimation for GARCH (1,1) model with heavy tailed errors In: LIDAM Discussion Papers CORE.
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paper0
2014Least squares estimation for GARCH (1,1) model with heavy tailed errors.(2014) In: MPRA Paper.
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This paper has nother version. Agregated cites: 0
paper
2006Minimum distance estimation of GARCH(1,1) models In: Computational Statistics & Data Analysis.
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article9
2008A GMM procedure for combining volatility forecasts In: Computational Statistics & Data Analysis.
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article5
2022Improving the accuracy of tail risk forecasting models by combining several realized volatility estimators In: Economic Modelling.
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article3
2019Heterogeneous component multiplicative error models for forecasting trading volumes In: International Journal of Forecasting.
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article1
2019Heterogeneous component multiplicative error models for forecasting trading volumes.(2019) In: MPRA Paper.
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This paper has nother version. Agregated cites: 1
paper
2020A Model Confidence Set approach to the combination of multivariate volatility forecasts In: International Journal of Forecasting.
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article8
2020Improving Many Volatility Forecasts Using Cross-Sectional Volatility Clusters In: JRFM.
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article2
2020Financial Time Series: Methods and Models In: JRFM.
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article0
2021Forecasting Volatility and Tail Risk in Electricity Markets In: JRFM.
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article2
2009Combination of multivariate volatility forecasts In: SFB 649 Discussion Papers.
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paper11
2005Evaluating Business Incentives Through DEA. An Analysis on Capitalia Firm Data In: MPRA Paper.
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paper2
2018Time Varying Heteroskedastic Realized GARCH models for tracking measurement error bias in volatility forecasting In: MPRA Paper.
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paper0
2018Time Varying Heteroskedastic Realized GARCH models for tracking measurement error bias in volatility forecasting.(2018) In: MPRA Paper.
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This paper has nother version. Agregated cites: 0
paper
2000A NON LINEAR TIME SERIES APPROACH TO MODELLING ASYMMETRY IN STOCK MARKET INDEXES In: Computing in Economics and Finance 2000.
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paper2
2002A non-linear time series approach to modelling asymmetry in stock market indexes.(2002) In: Statistical Methods & Applications.
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This paper has nother version. Agregated cites: 2
article
2006The combination of volatility forecasts In: Computing in Economics and Finance 2006.
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paper0
2003Likelihood inference in BL-GARCH models In: Computational Statistics.
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article4
2021A GARCH-Type Model with Cross-Sectional Volatility Clusters In: Springer Books.
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chapter0
2002Measuring cross-country technological catch-up through variable-parameter FDH In: Statistical Methods & Applications.
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article5
2003BL-GARCH models and asymmetries in volatility In: Statistical Methods & Applications.
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article12
2020Corporate Governance, Investment, Profitability and Insolvency Risk: Evidence from Italy In: Advances in Management and Applied Economics.
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article3
2020Time-varying parameters realized GARCH models for tracking attenuation bias in volatility dynamics In: Quantitative Finance.
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article2
2017Least?squares estimation of GARCH(1,1) models with heavy?tailed errors In: Econometrics Journal.
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article2
2015Model Uncertainty and Forecast Combination in High?Dimensional Multivariate Volatility Prediction In: Journal of Forecasting.
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article9

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