Marcel Minutolo

Personal Details

First Name:	Marcel
Middle Name:	C.
Last Name:	Minutolo
Suffix:
RePEc Short-ID:	pmi234
	6001 University Blvd Moon Township, PA 15108
	412-397-5451

Affiliation

Robert Morris University (Robert Morris University)

https://www.rmu.edu
United States, Moon Township

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.

Articles

1. Marcel C. Minutolo & Werner Kristjanpoller & Prakash Dheeriya, 2022. "Impact of COVID-19 effective reproductive rate on cryptocurrency," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-27, December.

   Cited by:

   1. Wei Xu & Daning Hu & Karl Reiner Lang & J. Leon Zhao, 2022. "Blockchain and digital finance," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-4, December.
   2. Rui Ai & Yuhang Zheng & Serhat Yüksel & Hasan Dinçer, 2023. "Investigating the components of fintech ecosystem for distributed energy investments with an integrated quantum spherical decision support system," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-28, December.
   3. Ştefan Cristian Gherghina & Liliana Nicoleta Simionescu, 2023. "Exploring the asymmetric effect of COVID-19 pandemic news on the cryptocurrency market: evidence from nonlinear autoregressive distributed lag approach and frequency domain causality," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-58, December.

2. Pandelara, Diego & Kristjanpoller, Werner & Michell, Kevin & Minutolo, Marcel C., 2022. "A fuzzy regression causality approach to analyze relationship between electrical consumption and GDP," Energy, Elsevier, vol. 239(PE).

   Cited by:

   1. Soytas, Ugur & Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2022. "Economic and environmental implications of the nuclear power phase-out in Belgium: Insights from time-series models and a partial differential equations algorithm," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 241-256.
   2. Cui, Yin, 2023. "The influencing factors of carrying capacity of urban electricity infrastructure: Case study of six Chinese mega-cities," Energy, Elsevier, vol. 282(C).

3. Llanos, Cristian & Kristjanpoller, Werner & Michell, Kevin & Minutolo, Marcel C., 2022. "Causal treatment effects in time series: CO2 emissions and energy consumption effect on GDP," Energy, Elsevier, vol. 249(C).

   Cited by:

   1. Titin Agustin Nengsih & Muhamad Abduh & Urwawuska Ladini & Fadhlul mubarak, 2023. "The Impact of Islamic Financial Development, GDP, and Population on Environmental Quality in Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 13(1), pages 7-13, January.
   2. Aras, Serkan & Hanifi Van, M., 2022. "An interpretable forecasting framework for energy consumption and CO2 emissions," Applied Energy, Elsevier, vol. 328(C).
   3. Khan, Rabnawaz, 2023. "The impact of a new techno-nationalism era on eco-economic decoupling," Resources Policy, Elsevier, vol. 82(C).
   4. Georgeta Soava & Anca Mehedintu, 2023. "Final Energy Consumption—Growth Nexus in Romania Versus the European Union: A Sectoral Approach Using Neural Network," Energies, MDPI, vol. 16(2), pages 1-34, January.
   5. Soytas, Ugur & Magazzino, Cosimo & Mele, Marco & Schneider, Nicolas, 2022. "Economic and environmental implications of the nuclear power phase-out in Belgium: Insights from time-series models and a partial differential equations algorithm," Structural Change and Economic Dynamics, Elsevier, vol. 63(C), pages 241-256.

4. Kristjanpoller, Werner & Minutolo, Marcel C., 2021. "Asymmetric multi-fractal cross-correlations of the price of electricity in the US with crude oil and the natural gas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).

   Cited by:

   1. Haider Ali & Faheem Aslam & Paulo Ferreira, 2021. "Modeling Dynamic Multifractal Efficiency of US Electricity Market," Energies, MDPI, vol. 14(19), pages 1-16, September.
   2. Qiao, Sen & Dang, Yi Jing & Ren, Zheng Yu & Zhang, Kai Quan, 2023. "The dynamic spillovers among carbon, fossil energy and electricity markets based on a TVP-VAR-SV method," Energy, Elsevier, vol. 266(C).
   3. Donglan Liu & Xin Liu & Kun Guo & Qiang Ji & Yingxian Chang, 2023. "Spillover Effects among Electricity Prices, Traditional Energy Prices and Carbon Market under Climate Risk," IJERPH, MDPI, vol. 20(2), pages 1-18, January.
   4. Kojić, Milena & Schlüter, Stephan & Mitić, Petar & Hanić, Aida, 2022. "Economy-environment nexus in developed European countries: Evidence from multifractal and wavelet analysis," Chaos, Solitons & Fractals, Elsevier, vol. 160(C).

5. Prado, Francisco & Minutolo, Marcel C. & Kristjanpoller, Werner, 2020. "Forecasting based on an ensemble Autoregressive Moving Average - Adaptive neuro - Fuzzy inference system – Neural network - Genetic Algorithm Framework," Energy, Elsevier, vol. 197(C).

   Cited by:

   1. Janusz Sowinski, 2021. "The Impact of the Selection of Exogenous Variables in the ANFIS Model on the Results of the Daily Load Forecast in the Power Company," Energies, MDPI, vol. 14(2), pages 1-18, January.
   2. Lu, Peng & Ye, Lin & Zhao, Yongning & Dai, Binhua & Pei, Ming & Tang, Yong, 2021. "Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges," Applied Energy, Elsevier, vol. 301(C).
   3. Hajirahimi, Zahra & Khashei, Mehdi & Etemadi, Sepideh, 2022. "A novel class of reliability-based parallel hybridization (RPH) models for time series forecasting," Chaos, Solitons & Fractals, Elsevier, vol. 156(C).
   4. Meng, Anbo & Xie, Zhifeng & Luo, Jianqiang & Zeng, Ying & Xu, Xuancong & Li, Yidian & Wu, Zhenbo & Zhang, Zhan & Zhu, Jianbin & Xian, Zikang & Li, Chen & Yan, Baiping & Yin, Hao, 2023. "An adaptive variational mode decomposition for wind power prediction using convolutional block attention deep learning network," Energy, Elsevier, vol. 282(C).
   5. Liu, Luyao & Bai, Feifei & Su, Chenyu & Ma, Cuiping & Yan, Ruifeng & Li, Hailong & Sun, Qie & Wennersten, Ronald, 2022. "Forecasting the occurrence of extreme electricity prices using a multivariate logistic regression model," Energy, Elsevier, vol. 247(C).
   6. Lee, Juyong & Cho, Youngsang, 2022. "National-scale electricity peak load forecasting: Traditional, machine learning, or hybrid model?," Energy, Elsevier, vol. 239(PD).
   7. Imani, Maryam, 2021. "Electrical load-temperature CNN for residential load forecasting," Energy, Elsevier, vol. 227(C).
   8. Dinesh K. Sharma & H. S. Hota & Kate Brown & Richa Handa, 2022. "Integration of genetic algorithm with artificial neural network for stock market forecasting," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 828-841, June.
   9. Rodríguez, Fermín & Galarza, Ainhoa & Vasquez, Juan C. & Guerrero, Josep M., 2022. "Using deep learning and meteorological parameters to forecast the photovoltaic generators intra-hour output power interval for smart grid control," Energy, Elsevier, vol. 239(PB).
   10. Ali Nouh Mabdeh & A’kif Al-Fugara & Khaled Mohamed Khedher & Muhammed Mabdeh & Abdel Rahman Al-Shabeeb & Rida Al-Adamat, 2022. "Forest Fire Susceptibility Assessment and Mapping Using Support Vector Regression and Adaptive Neuro-Fuzzy Inference System-Based Evolutionary Algorithms," Sustainability, MDPI, vol. 14(15), pages 1-26, August.
   11. Feras Alasali & Khaled Nusair & Lina Alhmoud & Eyad Zarour, 2021. "Impact of the COVID-19 Pandemic on Electricity Demand and Load Forecasting," Sustainability, MDPI, vol. 13(3), pages 1-22, January.
   12. Pedro M. R. Bento & Jose A. N. Pombo & Maria R. A. Calado & Silvio J. P. S. Mariano, 2021. "Stacking Ensemble Methodology Using Deep Learning and ARIMA Models for Short-Term Load Forecasting," Energies, MDPI, vol. 14(21), pages 1-21, November.
   13. Lu, Peng & Ye, Lin & Zhao, Yongning & Dai, Binhua & Pei, Ming & Li, Zhuo, 2021. "Feature extraction of meteorological factors for wind power prediction based on variable weight combined method," Renewable Energy, Elsevier, vol. 179(C), pages 1925-1939.
   14. Qu, Zhijian & Xu, Juan & Wang, Zixiao & Chi, Rui & Liu, Hanxin, 2021. "Prediction of electricity generation from a combined cycle power plant based on a stacking ensemble and its hyperparameter optimization with a grid-search method," Energy, Elsevier, vol. 227(C).
   15. Mustafa Saglam & Xiaojing Lv & Catalina Spataru & Omer Ali Karaman, 2024. "Instantaneous Electricity Peak Load Forecasting Using Optimization and Machine Learning," Energies, MDPI, vol. 17(4), pages 1-22, February.
   16. Ahmad, Tanveer & Zhang, Hongcai, 2020. "Novel deep supervised ML models with feature selection approach for large-scale utilities and buildings short and medium-term load requirement forecasts," Energy, Elsevier, vol. 209(C).
   17. Qi, Haijie & Yue, Hong & Zhang, Jiangfeng & Lo, Kwok L., 2021. "Optimisation of a smart energy hub with integration of combined heat and power, demand side response and energy storage," Energy, Elsevier, vol. 234(C).
   18. Ahmad, Tanveer & Zhang, Dongdong & Huang, Chao, 2021. "Methodological framework for short-and medium-term energy, solar and wind power forecasting with stochastic-based machine learning approach to monetary and energy policy applications," Energy, Elsevier, vol. 231(C).
   19. Zayed, Mohamed E. & Zhao, Jun & Li, Wenjia & Elsheikh, Ammar H. & Elaziz, Mohamed Abd, 2021. "A hybrid adaptive neuro-fuzzy inference system integrated with equilibrium optimizer algorithm for predicting the energetic performance of solar dish collector," Energy, Elsevier, vol. 235(C).

6. Marcel C. Minutolo & Werner D. Kristjanpoller & John Stakeley, 2019. "Exploring environmental, social, and governance disclosure effects on the S&P 500 financial performance," Business Strategy and the Environment, Wiley Blackwell, vol. 28(6), pages 1083-1095, September.

   Cited by:

   1. Mohsin Malik & Hadi Ghaderi & Amir Andargoli, 2021. "A resource orchestration view of supply chain traceability and transparency bundles for competitive advantage," Business Strategy and the Environment, Wiley Blackwell, vol. 30(8), pages 3866-3881, December.
   2. Massimiliano Cerciello & Francesco Busato & Simone Taddeo, 2023. "The effect of sustainable business practices on profitability. Accounting for strategic disclosure," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(2), pages 802-819, March.
   3. Josep Garcia‐Blandon & David Castillo‐Merino & Nour Chams, 2020. "Sustainable development: The stock market's view of environmental policy," Business Strategy and the Environment, Wiley Blackwell, vol. 29(8), pages 3273-3285, December.
   4. Naima Lassoued & Imen Khanchel, 2023. "Voluntary CSR disclosure and CEO narcissism: the moderating role of CEO duality and board gender diversity," Review of Managerial Science, Springer, vol. 17(3), pages 1075-1123, April.
   5. Mitzi Isabel Cubilla‐Montilla & Purificación Galindo‐Villardón & Ana Belén Nieto‐Librero & María Purificación Vicente Galindo & Isabel María García‐Sánchez, 2020. "What companies do not disclose about their environmental policy and what institutional pressures may do to respect," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(3), pages 1181-1197, May.
   6. Isabel‐María García‐Sánchez & Cristina‐Andrea Araújo‐Bernardo, 2020. "What colour is the corporate social responsibility report? Structural visual rhetoric, impression management strategies, and stakeholder engagement," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(2), pages 1117-1142, March.
   7. Ho, Kung-Cheng & Yen, Huang-Ping & Lu, Canyi & Lee, Shih-Cheng, 2023. "Does information disclosure and transparency ranking system prevent the default risk of a firm?," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1089-1105.
   8. Yingying Zhou & Zilin Shi & Fengyi Lei & Wanxuan Sun & Jiaxuan Zhang, 2022. "Effect of Environmental Information Disclosure on the Financing Efficiency of Enterprises—Evidence from China’s Listed Energy Companies," Sustainability, MDPI, vol. 14(24), pages 1-21, December.
   9. Greta Falavigna & Roberto Ippoliti, 2022. "Financial constraints, investments, and environmental strategies: An empirical analysis of judicial barriers," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2002-2018, July.
   10. Hoang, Thi Hong Van & Pham, Linh & Nguyen, Thanh Thi Phuong, 2023. "Does country sustainability improve firm ESG reporting transparency? The moderating role of firm industry and CSR engagement," Economic Modelling, Elsevier, vol. 125(C).
   11. Tiago Cruz Gonçalves & Victor Barros & José Vicente Avelar, 2023. "Environmental, social and governance scores in Europe: what drives financial performance for larger firms?," Economics and Business Letters, Oviedo University Press, vol. 12(2), pages 121-131.
   12. Khan, Muhammad Arif, 2022. "ESG disclosure and Firm performance: A bibliometric and meta analysis," Research in International Business and Finance, Elsevier, vol. 61(C).
   13. Tiago Gonçalves & Diego Pimentel & Cristina Gaio, 2021. "Risk and Performance of European Green and Conventional Funds," Sustainability, MDPI, vol. 13(8), pages 1-17, April.
   14. Neetu Yadav & Vandana Bhama, 2023. "Sustainability, Resilience, and Returns During COVID-19: Empirical Evidence from US and Indian Stock Markets," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 22(2), pages 215-238, June.
   15. Elena Ferrer & Francisco J. López‐Arceiz & Cristina del Rio, 2020. "Sustainability disclosure and financial analysts' accuracy: The European case," Business Strategy and the Environment, Wiley Blackwell, vol. 29(8), pages 2939-2952, December.
   16. Wayne Fu & Che‐Ping (Jack) Su, 2021. "The implications of efficiency differences in sustainable development: An empirical study in the consumer product industry," Business Strategy and the Environment, Wiley Blackwell, vol. 30(5), pages 2489-2504, July.
   17. Victoria Bogdan & Claudia Diana Sabău-Popa & Marcel-Ioan Boloș & Dorina-Nicoleta Popa & Mărioara Beleneși, 2022. "Tracking Waste Management Information Disclosure Behavior Connected to Financial Performance through Moderating Variables," IJERPH, MDPI, vol. 19(20), pages 1-25, October.
   18. Jeanne Amar & Samira Demaria & Sandra Rigot, 2020. "Enhancing Financial Transparency to Mitigate Climate Change: Towards a Climate Risks and Opportunities Reporting Index," GREDEG Working Papers 2020-52, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
   19. Zhang, Zhongqingyang & Zhu, Huiming & Zhou, Zhongbao & Zou, Kai, 2022. "How does innovation matter for sustainable performance? Evidence from small and medium-sized enterprises," Journal of Business Research, Elsevier, vol. 153(C), pages 251-265.
   20. Isabel‐María García‐Sánchez & Isabel Gallego‐Álvarez & José‐Luis Zafra‐Gómez, 2020. "Do the ecoinnovation and ecodesign strategies generate value added in munificent environments?," Business Strategy and the Environment, Wiley Blackwell, vol. 29(3), pages 1021-1033, March.
   21. Giovanni Cardillo & Ennio Bendinelli & Giuseppe Torluccio, 2023. "COVID‐19, ESG investing, and the resilience of more sustainable stocks: Evidence from European firms," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 602-623, January.
   22. Simona Galletta & Sebastiano Mazzù & Valeria Naciti, 2021. "Banks' business strategy and environmental effectiveness: The monitoring role of the board of directors and the managerial incentives," Business Strategy and the Environment, Wiley Blackwell, vol. 30(5), pages 2656-2670, July.
   23. Kun‐Shan Wu & Bao‐Guang Chang, 2022. "The concave–convex effects of environmental, social and governance on high‐tech firm value: Quantile regression approach," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(5), pages 1527-1545, September.
   24. Marcia Sierdovski & Luiz Alberto Pilatti & Priscila Rubbo, 2022. "Organizational Competencies in the Development of Environmental, Social, and Governance (ESG) Criteria in the Industrial Sector," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
   25. Fen Zhang & Xiaonan Qin & Lina Liu, 2020. "The Interaction Effect between ESG and Green Innovation and Its Impact on Firm Value from the Perspective of Information Disclosure," Sustainability, MDPI, vol. 12(5), pages 1-18, March.
   26. Guangying Xie & Shengyan Wu & Zhengjiang Song, 2022. "Focus on Innovation or Focus on Sales? The Influences of the Government of China’s Demand-Side Reform during COVID-19 and Their Sustainability Consequences in the Consumer Products Industry," Sustainability, MDPI, vol. 14(20), pages 1-21, October.
   27. Anrafel Souza Barbosa & Maria Cristina Basilio Crispim Silva & Luiz Bueno Silva & Sandra Naomi Morioka & Vinícius Fernandes Souza, 2023. "Integration of Environmental, Social, and Governance (ESG) criteria: their impacts on corporate sustainability performance," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-18, December.
   28. Pablo Arocena & Raquel Orcos & Fedaous Zouaghi, 2021. "The impact of ISO 14001 on firm environmental and economic performance: The moderating role of size and environmental awareness," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 955-967, February.

7. Gajardo, Gabriel & Kristjanpoller, Werner D. & Minutolo, Marcel, 2018. "Does Bitcoin exhibit the same asymmetric multifractal cross-correlations with crude oil, gold and DJIA as the Euro, Great British Pound and Yen?," Chaos, Solitons & Fractals, Elsevier, vol. 109(C), pages 195-205.

   Cited by:

   1. Guo, Yaoqi & Yu, Zhuling & Yu, Chenxi & Cheng, Hui & Chen, Weixun & Zhang, Hongwei, 2021. "Asymmetric multifractal features of the price–volume correlation in China’s gold futures market based on MF-ADCCA," Research in International Business and Finance, Elsevier, vol. 58(C).
   2. Naeem, Muhammad Abubakr & Bouri, Elie & Peng, Zhe & Shahzad, Syed Jawad Hussain & Vo, Xuan Vinh, 2021. "Asymmetric efficiency of cryptocurrencies during COVID19," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 565(C).
   3. Kakinaka, Shinji & Umeno, Ken, 2021. "Exploring asymmetric multifractal cross-correlations of price–volatility and asymmetric volatility dynamics in cryptocurrency markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
   4. Zura Kakushadze & Willie Yu, 2019. "Altcoin-Bitcoin Arbitrage," Papers 1903.06033, arXiv.org, revised Apr 2019.
   5. Stavroyiannis, Stavros & Babalos, Vassilios & Bekiros, Stelios & Lahmiri, Salim & Uddin, Gazi Salah, 2019. "The high frequency multifractal properties of Bitcoin," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 62-71.
   6. Maneejuk, Paravee & Kaewtathip, Nuttaphong & Jaipong, Peemmawat & Yamaka, Woraphon, 2022. "The transition of the global financial markets' connectedness during the COVID-19 pandemic," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
   7. Ji, Qiang & Bouri, Elie & Lau, Chi Keung Marco & Roubaud, David, 2019. "Dynamic connectedness and integration in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 257-272.
   8. Kristjanpoller, Werner & Bouri, Elie & Takaishi, Tetsuya, 2020. "Cryptocurrencies and equity funds: Evidence from an asymmetric multifractal analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
   9. Su, Chi-Wei & Qin, Meng & Tao, Ran & Umar, Muhammad, 2020. "Financial implications of fourth industrial revolution: Can bitcoin improve prospects of energy investment?," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
   10. Adekoya, Oluwasegun B. & Oliyide, Johnson A., 2021. "How COVID-19 drives connectedness among commodity and financial markets: Evidence from TVP-VAR and causality-in-quantiles techniques," Resources Policy, Elsevier, vol. 70(C).
   11. Josselin Garnier & Knut Solna, 2018. "Emergence of Turbulent Epochs in Oil Prices," Papers 1808.09382, arXiv.org, revised Apr 2019.
   12. Abeer ElBahrawy & Laura Alessandretti & Andrea Baronchelli, 2019. "Wikipedia and Digital Currencies: Interplay Between Collective Attention and Market Performance," Papers 1902.04517, arXiv.org, revised Mar 2019.
   13. Banerjee, Ameet Kumar & Akhtaruzzaman, Md & Dionisio, Andreia & Almeida, Dora & Sensoy, Ahmet, 2022. "Nonlinear nexus between cryptocurrency returns and COVID-19 news sentiment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 36(C).
   14. Kristjanpoller, Werner & Minutolo, Marcel C., 2021. "Asymmetric multi-fractal cross-correlations of the price of electricity in the US with crude oil and the natural gas," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
   15. Guo, Yaoqi & Shi, Fengyuan & Yu, Zhuling & Yao, Shanshan & Zhang, Hongwei, 2022. "Asymmetric multifractality in China’s energy market based on improved asymmetric multifractal cross-correlation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
   16. Rubaiyat Ahsan Bhuiyan & Tze Chi Chin & Changyong Zhang, 2023. "Gold and Bitcoin as Hedging Instruments for Equity Markets under Crisis," Financial Economics Letters, Anser Press, vol. 2(2), pages 6-27, October.
   17. Chen, Wei & Xu, Huilin & Jia, Lifen & Gao, Ying, 2021. "Machine learning model for Bitcoin exchange rate prediction using economic and technology determinants," International Journal of Forecasting, Elsevier, vol. 37(1), pages 28-43.
   18. Dong, Zibing & Li, Yanshuang & Zhuang, Xintian & Wang, Jian, 2022. "Impacts of COVID-19 on global stock sectors: Evidence from time-varying connectedness and asymmetric nexus analysis," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
   19. Aniruddha Dutta & Saket Kumar & Meheli Basu, 2019. "A Gated Recurrent Unit Approach to Bitcoin Price Prediction," Papers 1912.11166, arXiv.org.
   20. Balcilar, Mehmet & Ozdemir, Huseyin & Agan, Busra, 2022. "Effects of COVID-19 on cryptocurrency and emerging market connectedness: Empirical evidence from quantile, frequency, and lasso networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
   21. Chowdhury, Mohammad Ashraful Ferdous & Abdullah, Mohammad & Alam, Masud & Abedin, Mohammad Zoynul & Shi, Baofeng, 2023. "NFTs, DeFi, and other assets efficiency and volatility dynamics: An asymmetric multifractality analysis," International Review of Financial Analysis, Elsevier, vol. 87(C).
   22. Zura Kakushadze & Willie Yu, 2019. "Altcoin-Bitcoin Arbitrage," Bulletin of Applied Economics, Risk Market Journals, vol. 6(1), pages 87-110.
   23. Cao, Guangxi & Xie, Wenhao, 2021. "The impact of the shutdown policy on the asymmetric interdependence structure and risk transmission of cryptocurrency and China’s financial market," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
   24. Binh Nguyen Quang & Thai‐Ha Le & Canh Nguyen Phuc, 2022. "Influences of uncertainty on the returns and liquidity of cryptocurrencies: Evidence from a portfolio approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2497-2513, April.
   25. Marcel C. Minutolo & Werner Kristjanpoller & Prakash Dheeriya, 2022. "Impact of COVID-19 effective reproductive rate on cryptocurrency," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-27, December.
   26. Dora Almeida & Andreia Dionísio & Paulo Ferreira & Isabel Vieira, 2023. "Impact of the COVID-19 Pandemic on Cryptocurrency Markets: A DCCA Analysis," FinTech, MDPI, vol. 2(2), pages 1-17, May.
   27. Lahmiri, Salim & Bekiros, Stelios, 2019. "Cryptocurrency forecasting with deep learning chaotic neural networks," Chaos, Solitons & Fractals, Elsevier, vol. 118(C), pages 35-40.
   28. Garnier, Josselin & Solna, Knut, 2019. "Emergence of turbulent epochs in oil prices," Chaos, Solitons & Fractals, Elsevier, vol. 122(C), pages 281-292.
   29. Aniruddha Dutta & Saket Kumar & Meheli Basu, 2020. "A Gated Recurrent Unit Approach to Bitcoin Price Prediction," JRFM, MDPI, vol. 13(2), pages 1-16, February.
   30. Ahmed Jeribi & Sangram Keshari Jena & Amine Lahiani, 2021. "Are Cryptocurrencies a Backstop for the Stock Market in a COVID-19-Led Financial Crisis? Evidence from the NARDL Approach," IJFS, MDPI, vol. 9(3), pages 1-36, June.
   31. Kristjanpoller, Werner & Bouri, Elie, 2019. "Asymmetric multifractal cross-correlations between the main world currencies and the main cryptocurrencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1057-1071.
   32. Tiwari, Aviral Kumar & Raheem, Ibrahim Dolapo & Kang, Sang Hoon, 2019. "Time-varying dynamic conditional correlation between stock and cryptocurrency markets using the copula-ADCC-EGARCH model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 535(C).
   33. Canh, Nguyen Phuc & Wongchoti, Udomsak & Thanh, Su Dinh & Thong, Nguyen Trung, 2019. "Systematic risk in cryptocurrency market: Evidence from DCC-MGARCH model," Finance Research Letters, Elsevier, vol. 29(C), pages 90-100.
   34. Yang, Ming-Yuan & Wu, Zhen-Guo & Wu, Xin, 2022. "An empirical study of risk diffusion in the cryptocurrency market based on the network analysis," Finance Research Letters, Elsevier, vol. 50(C).
   35. Telli, Şahin & Chen, Hongzhuan, 2021. "Multifractal behavior relationship between crypto markets and Wikipedia-Reddit online platforms," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
   36. Rasoul Amirzadeh & Asef Nazari & Dhananjay Thiruvady & Mong Shan Ee, 2023. "Modelling Determinants of Cryptocurrency Prices: A Bayesian Network Approach," Papers 2303.16148, arXiv.org.
   37. Shen, Na & Chen, Jiayi, 2023. "Asymmetric multifractal spectrum distribution based on detrending moving average cross-correlation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
   38. Lahmiri, Salim & Bekiros, Stelios, 2020. "Big data analytics using multi-fractal wavelet leaders in high-frequency Bitcoin markets," Chaos, Solitons & Fractals, Elsevier, vol. 131(C).
   39. Laura Alessandretti & Abeer ElBahrawy & Luca Maria Aiello & Andrea Baronchelli, 2018. "Anticipating cryptocurrency prices using machine learning," Papers 1805.08550, arXiv.org, revised Nov 2018.
   40. Jinxin Cui & Aktham Maghyereh, 2022. "Time–frequency co-movement and risk connectedness among cryptocurrencies: new evidence from the higher-order moments before and during the COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-56, December.
   41. Iqbal, Najaf & Fareed, Zeeshan & Wan, Guangcai & Shahzad, Farrukh, 2021. "Asymmetric nexus between COVID-19 outbreak in the world and cryptocurrency market," International Review of Financial Analysis, Elsevier, vol. 73(C).
   42. Yao, Can-Zhong & Mo, Yi-Na & Zhang, Ze-Kun, 2021. "A study of the efficiency of the Chinese clean energy stock market and its correlation with the crude oil market based on an asymmetric multifractal scaling behavior analysis," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
   43. Lahmiri, Salim & Bekiros, Stelios, 2020. "The impact of COVID-19 pandemic upon stability and sequential irregularity of equity and cryptocurrency markets," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
   44. Nikolaos A. Kyriazis, 2020. "Is Bitcoin Similar to Gold? An Integrated Overview of Empirical Findings," JRFM, MDPI, vol. 13(5), pages 1-19, May.
   45. Yi, Eojin & Cho, Yerim & Sohn, Sungbin & Ahn, Kwangwon, 2021. "After the Splits: Information Flow between Bitcoin and Bitcoin Family," Chaos, Solitons & Fractals, Elsevier, vol. 142(C).
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8. Jerry Zoffer & Asma Bahurmoz & Mohammed K. Hamid & Marcel Minutolo & Thomas Saaty, 2008. "Synthesis of Complex Criteria Decision Making: A Case Towards a Consensus Agreement for a Middle East Conflict Resolution," Group Decision and Negotiation, Springer, vol. 17(5), pages 363-385, September.

   Cited by:

   1. Gawlik, Remigiusz, 2014. "Zastosowanie metody analitycznego procesu sieciowego do wspierania racjonalnych wyborów młodych Europejczyków [Enhancing Rational Choices of Young Europeans with use of Analytic Network Process]," MPRA Paper 62442, University Library of Munich, Germany.
   2. Gawlik, Remigiusz, 2014. "Application of Artificial Intelligence Methods for Analysis of Material and Non-material Determinants of Functioning of Young Europeans in Times of Crisis in the Eurozone," MPRA Paper 62444, University Library of Munich, Germany, revised 2014.
   3. Abbas Bonyani & Moslem Alimohammadlou, 2021. "A novel approach to solve the problems with network structure," Operational Research, Springer, vol. 21(2), pages 1279-1297, June.
   4. Jhong-You Huang & Wann-Ming Wey, 2019. "Application of Big Data and Analytic Network Process for the Adaptive Reuse Strategies of School Land," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 142(3), pages 1075-1102, April.
   5. Gawlik, Remigiusz, 2016. "Methodological Aspects of Qualitative-Quantitative Analysis of Decision-Making Processes," MPRA Paper 72362, University Library of Munich, Germany.
   6. Valentina Ferretti & Silvia Pomarico, 2012. "Integrated sustainability assessments: a spatial multicriteria evaluation for siting a waste incinerator plant in the Province of Torino (Italy)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 14(5), pages 843-867, October.

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