Gianmarco Vacca

Personal Details

First Name:	Gianmarco
Middle Name:
Last Name:	Vacca
Suffix:
RePEc Short-ID:	pva865
	[This author has chosen not to make the email address public]
	http://docenti.unicatt.it/ita/gianmarco_vacca/

Affiliation

Dipartimento di Politica Economica
Dipartimenti e Istituti di Scienze Economiche
Università Cattolica del Sacro Cuore

Milano, Italy
https://dipartimenti.unicatt.it/politica_economica
RePEc:edi:dpcatit (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Piero Quatto & Gianmarco Vacca & Maria Grazia Zoia, 2021. "Modeling Portfolios with Leptokurtic and Dependent Risk Factors," Papers 2106.04218, arXiv.org.

   Cited by:

   1. Kenichiro Shiraya & Tomohisa Yamakami, 2023. "Constructing Copulas Using Corrected Hermite Polynomial Expansion for Estimating Cross Foreign Exchange Volatility," Papers 2301.10044, arXiv.org.
   2. Yao, Can-Zhong & Li, Min-Jian, 2023. "GARCH-MIDAS-GAS-copula model for CoVaR and risk spillover in stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).

Articles

1. Vacca, Gianmarco & Zoia, Maria Grazia & Bagnato, Luca, 2022. "Forecasting in GARCH models with polynomially modified innovations," International Journal of Forecasting, Elsevier, vol. 38(1), pages 117-141.

   Cited by:

   1. Cai, Yi & Tang, Zhenpeng & Chen, Kaijie & Liu, Dinggao, 2023. "Quantifying the international stock market risk spillover: An analysis based on G-expectation upper variances," Finance Research Letters, Elsevier, vol. 58(PA).
   2. Liang, Xuedong & Luo, Peng & Li, Xiaoyan & Wang, Xia & Shu, Lingli, 2023. "Crude oil price prediction using deep reinforcement learning," Resources Policy, Elsevier, vol. 81(C).
   3. Wang, Xiong & Li, Jingyao & Ren, Xiaohang, 2022. "Asymmetric causality of economic policy uncertainty and oil volatility index on time-varying nexus of the clean energy, carbon and green bond," International Review of Financial Analysis, Elsevier, vol. 83(C).

2. Bertelli, Stefano & Vacca, Gianmarco & Zoia, Maria, 2022. "Bootstrap cointegration tests in ARDL models," Economic Modelling, Elsevier, vol. 116(C).
   • Stefano Bertelli & Gianmarco Vacca & Maria Grazia Zoia, 2022. "Bootstrap Cointegration Tests in ARDL Models," Papers 2204.04939, arXiv.org.

   Cited by:

   1. Pan, Lijun & Wang, Yangjie & Sun, Xiaofei & Sadiq, Muhammad & Dagestani, Abd Alwahed, 2023. "Natural resources: A determining factor of geopolitical risk in Russia? Revisiting conflict-based perspective," Resources Policy, Elsevier, vol. 85(PA).
   2. Qin Meng & Jing-Wen Zhang & Yunxu Wang & Hsu-Ling Chang & Chi-Wei Su, 2023. "Green Household Technology and Its Impacts on Environmental Sustainability in China," Sustainability, MDPI, vol. 15(17), pages 1-13, August.
   3. Melike Bildirici & Yasemin Asu Çırpıcı & Özgür Ömer Ersin, 2023. "Effects of Technology, Energy, Monetary, and Fiscal Policies on the Relationship between Renewable and Fossil Fuel Energies and Environmental Pollution: Novel NBARDL and Causality Analyses," Sustainability, MDPI, vol. 15(20), pages 1-27, October.
   4. Liang, Yunbao & Zhou, Hongxia & Zeng, Jun & Wang, Chuanbin, 2024. "Do natural resources rent increase green finance in developing countries? The role of education," Resources Policy, Elsevier, vol. 91(C).
   5. Goh, Soo Khoon & Wong, Koi Nyen & McNown, Robert & Chen, Li-Ju, 2023. "Long-run macroeconomic consequences of Taiwan's aging labor force: an analysis of policy options," Journal of Policy Modeling, Elsevier, vol. 45(1), pages 121-138.

3. Quatto, Piero & Vacca, Gianmarco & Zoia, Maria Grazia, 2021. "A new copula for modeling portfolios with skewed, leptokurtic and high-order dependent risk factors," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).

   Cited by:

   1. Kenichiro Shiraya & Tomohisa Yamakami, 2023. "Constructing Copulas Using Corrected Hermite Polynomial Expansion for Estimating Cross Foreign Exchange Volatility," Papers 2301.10044, arXiv.org.
   2. Shiraya, Kenichiro & Yamakami, Tomohisa, 2024. "Constructing copulas using corrected Hermite polynomial expansion for estimating cross foreign exchange volatility," European Journal of Operational Research, Elsevier, vol. 314(3), pages 1195-1214.
   3. Yao, Can-Zhong & Li, Min-Jian, 2023. "GARCH-MIDAS-GAS-copula model for CoVaR and risk spillover in stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).

4. Vacca, Gianmarco & Zoia, Maria Grazia, 2019. "Kurtosis analysis in GARCH models with Gram–Charlier-like innovations," Economics Letters, Elsevier, vol. 183(C), pages 1-1.

   Cited by:

   1. Vacca, Gianmarco & Zoia, Maria Grazia & Bagnato, Luca, 2022. "Forecasting in GARCH models with polynomially modified innovations," International Journal of Forecasting, Elsevier, vol. 38(1), pages 117-141.
   2. Quatto, Piero & Vacca, Gianmarco & Zoia, Maria Grazia, 2021. "A new copula for modeling portfolios with skewed, leptokurtic and high-order dependent risk factors," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-RMG: Risk Management (1) 2021-06-21. Author is listed

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