IDEAS home Printed from https://ideas.repec.org/f/pgi350.html
   My authors  Follow this author

Massimo Giovannini

Personal Details

First Name:Massimo
Middle Name:
Last Name:Giovannini
Suffix:
RePEc Short-ID:pgi350

Affiliation

Joint Research Centre
European Commission

Ispra, Italy
https://ec.europa.eu/jrc/en/about/jrc-site/ispra

:


RePEc:edi:eejrcit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Giovannini, Massimo & Hohberger, Stefan & Kollmann, Robert & Ratto, Marco & Roeger, Werner & Vogel, Lukas, 2018. "Euro Area and U.S. External Adjustment: The Role of Commodity Prices and Emerging Market Shocks," Globalization Institute Working Papers 344, Federal Reserve Bank of Dallas.
  2. Matteo Manera & Massimo Giovannini & Margherita Grasso & Alessandro Lanza, 2004. "Conditional Correlations in the Returns on Oil Companies Stock Prices and Their Determinants," Working Papers 2004.71, Fondazione Eni Enrico Mattei.
  3. Alessandro Lanza & Matteo Manera & Massimo Giovannini, 2003. "Oil and Product Price Dynamics in International Petroleum Markets," Working Papers 2003.81, Fondazione Eni Enrico Mattei.
  4. Alessandro Lanza & Matteo Manera & Margherita Grasso & Massimo Giovannini, 2003. "Long-run Models of Oil Stock Prices," Working Papers 2003.96, Fondazione Eni Enrico Mattei.

Articles

  1. Massimo Giovannini & Margherita Grasso & Alessandro Lanza & Matteo Manera, 2006. "Conditional correlations in the returns on oil companies stock prices and their determinants," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 33(4), pages 193-207, September.
  2. Lanza, Alessandro & Manera, Matteo & Giovannini, Massimo, 2005. "Modeling and forecasting cointegrated relationships among heavy oil and product prices," Energy Economics, Elsevier, vol. 27(6), pages 831-848, November.

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. Giovannini, Massimo & Hohberger, Stefan & Kollmann, Robert & Ratto, Marco & Roeger, Werner & Vogel, Lukas, 2018. "Euro Area and U.S. External Adjustment: The Role of Commodity Prices and Emerging Market Shocks," Globalization Institute Working Papers 344, Federal Reserve Bank of Dallas.

    Cited by:

    1. Gert Peersman, 2018. "International Food Commodity Prices and Missing (Dis)Inflation in the Euro Area," CESifo Working Paper Series 7338, CESifo Group Munich.

  2. Matteo Manera & Massimo Giovannini & Margherita Grasso & Alessandro Lanza, 2004. "Conditional Correlations in the Returns on Oil Companies Stock Prices and Their Determinants," Working Papers 2004.71, Fondazione Eni Enrico Mattei.

    Cited by:

    1. Bianconi, Marcelo & Yoshino, Joe A., 2014. "Risk factors and value at risk in publicly traded companies of the nonrenewable energy sector," Energy Economics, Elsevier, vol. 45(C), pages 19-32.
    2. Nikolaos Antonakakis & Juncal Cunado & George Filis & David Gabauer & Fernando Perez de Gracia, 2018. "Oil volatility, oil and gas firms and portfolio diversification," BAFES Working Papers BAFES18, Department of Accounting, Finance & Economic, Bournemouth University.
    3. Frank Venmans, 2015. "Capital market response to emission allowance prices: a multivariate GARCH approach," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(4), pages 577-620, October.
    4. Kang, Wensheng & Perez de Gracia, Fernando & Ratti, Ronald A., 2017. "Oil price shocks, policy uncertainty, and stock returns of oil and gas corporations," Journal of International Money and Finance, Elsevier, vol. 70(C), pages 344-359.
    5. Diego A. Agudelo & Marcela Gutiérrez & Laura Cardona, 2015. "Volatility transmission between US and Latin American Stock Markets: testing the decoupling hypothesis," Documentos de Trabajo CIEF 014252, Universidad EAFIT.
    6. Diaz, Elena Maria & de Gracia, Fernando Perez, 2017. "Oil price shocks and stock returns of oil and gas corporations," Finance Research Letters, Elsevier, vol. 20(C), pages 75-80.
    7. Kourouvakalis, Stylianos, 2008. "Méthodes numériques pour la valorisation d'options swings et autres problèmes sur les matières premières," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/116 edited by Geman, Hélyette.

  3. Alessandro Lanza & Matteo Manera & Massimo Giovannini, 2003. "Oil and Product Price Dynamics in International Petroleum Markets," Working Papers 2003.81, Fondazione Eni Enrico Mattei.

    Cited by:

    1. Candelon, Bertrand & Joëts, Marc & Tokpavi, Sessi, 2013. "Testing for Granger causality in distribution tails: An application to oil markets integration," Economic Modelling, Elsevier, vol. 31(C), pages 276-285.
    2. Bertrand Candelon & Marc Joëts & Sessi Tokpavi, 2012. "Testing for crude oil markets globalization during extreme price movements," Post-Print hal-01386081, HAL.
    3. Mario Denni & G. Frewer, 2006. "New evidence on the relationship beetween crude oil and petroleum product prices," Departmental Working Papers of Economics - University 'Roma Tre' 0061, Department of Economics - University Roma Tre.
    4. Zavaleta, Armando & Walls, W.D. & Rusco, Frank W., 2015. "Refining for export and the convergence of petroleum product prices," Energy Economics, Elsevier, vol. 47(C), pages 206-214.

  4. Alessandro Lanza & Matteo Manera & Margherita Grasso & Massimo Giovannini, 2003. "Long-run Models of Oil Stock Prices," Working Papers 2003.96, Fondazione Eni Enrico Mattei.

    Cited by:

    1. Mohanty, Sunil & Nandha, Mohan & Bota, Gabor, 2010. "Oil shocks and stock returns: The case of the Central and Eastern European (CEE) oil and gas sectors," Emerging Markets Review, Elsevier, vol. 11(4), pages 358-372, December.
    2. Mohamed Amine BOUTABA, "undated". "Does Carbon Affect European Oil Companies' Equity Values?," EcoMod2009 21500018, EcoMod.
    3. Cong, Rong-Gang & Wei, Yi-Ming & Jiao, Jian-Lin & Fan, Ying, 2008. "Relationships between oil price shocks and stock market: An empirical analysis from China," Energy Policy, Elsevier, vol. 36(9), pages 3544-3553, September.
    4. Bai, Ye & Green, Christopher J. & Leger, Lawrence, 2012. "Industry and country factors in emerging market returns: Did the Asian crisis make a difference?," Emerging Markets Review, Elsevier, vol. 13(4), pages 559-580.
    5. Matteo Manera & Massimo Giovannini & Margherita Grasso & Alessandro Lanza, 2004. "Conditional Correlations in the Returns on Oil Companies Stock Prices and Their Determinants," Working Papers 2004.71, Fondazione Eni Enrico Mattei.
    6. Fatema Alaali, 2017. "Analysing the Effect of Oil Price Shocks on Asset Prices: Evidence from UK Firms," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 418-432.
    7. Wen, Xiaoqian & Guo, Yanfeng & Wei, Yu & Huang, Dengshi, 2014. "How do the stock prices of new energy and fossil fuel companies correlate? Evidence from China," Energy Economics, Elsevier, vol. 41(C), pages 63-75.
    8. Arfaoui Mongi & Haj Ali Dhouha, 2016. "Do Structural Breaks Affect Portfolio Designs and Hedging Strategies? International Evidence from Stock-Commodity Markets Linkages," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 252-270.
    9. Alaali, Fatema, 2017. "Analysing the Effect of Oil Price Shocks on Asset Prices: evidence from UK firms," MPRA Paper 78013, University Library of Munich, Germany.

Articles

  1. Massimo Giovannini & Margherita Grasso & Alessandro Lanza & Matteo Manera, 2006. "Conditional correlations in the returns on oil companies stock prices and their determinants," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 33(4), pages 193-207, September.
    See citations under working paper version above.
  2. Lanza, Alessandro & Manera, Matteo & Giovannini, Massimo, 2005. "Modeling and forecasting cointegrated relationships among heavy oil and product prices," Energy Economics, Elsevier, vol. 27(6), pages 831-848, November.

    Cited by:

    1. Eskandar Elmarzougui & Bruno Larue, 2013. "On the Evolving Relationship Between Corn and Oil Prices," Agribusiness, John Wiley & Sons, Ltd., vol. 29(3), pages 344-360, June.
    2. He, Yongxiu & Wang, Bing & Wang, Jianhui & Xiong, Wei & Xia, Tian, 2013. "Correlation between Chinese and international energy prices based on a HP filter and time difference analysis," Energy Policy, Elsevier, vol. 62(C), pages 898-909.
    3. Viviana Fernández, 2006. "Forecasting crude oil and natural gas spot prices by classification methods," Documentos de Trabajo 229, Centro de Economía Aplicada, Universidad de Chile.
    4. Baumeister, Christiane & Kilian, Lutz, 2013. "Are product spreads useful for forecasting? An empirical evaluation of the Verleger hypothesis," CFS Working Paper Series 2013/09, Center for Financial Studies (CFS).
    5. Tang, Ling & Wu, Yao & Yu, Lean, 2018. "A randomized-algorithm-based decomposition-ensemble learning methodology for energy price forecasting," Energy, Elsevier, vol. 157(C), pages 526-538.
    6. Ding, Yishan, 2018. "A novel decompose-ensemble methodology with AIC-ANN approach for crude oil forecasting," Energy, Elsevier, vol. 154(C), pages 328-336.
    7. Hongtao Chen & Lianghua Chen, 2015. "Multifractal spectrum analysis of Brent crude oil futures prices volatility in intercontinental exchange," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 38(1/2/3), pages 93-108.
    8. Narayan, Seema & Narayan, Paresh Kumar, 2017. "Estimating the speed of adjustment to target levels: The case of energy prices," Energy Economics, Elsevier, vol. 62(C), pages 419-427.
    9. Mann, Janelle & Sephton, Peter, 2016. "Global relationships across crude oil benchmarks," Journal of Commodity Markets, Elsevier, vol. 2(1), pages 1-5.
    10. Hengyun Ma & Les Oxley & John Gibson, 2008. "Testing for Energy Market Integration in China," Working Papers in Economics 08/12, University of Canterbury, Department of Economics and Finance.
    11. Hankyeung Choi & David J. Leatham & Kunlapath Sukcharoen, 2015. "Oil Price Forecasting Using Crack Spread Futures and Oil Exchange Traded Funds," Contemporary Economics, University of Finance and Management in Warsaw, vol. 9(1), April.
    12. Ederington, Louis H. & Fernando, Chitru S. & Hoelscher, Seth A. & Lee, Thomas K. & Linn, Scott C., 2019. "A review of the evidence on the relation between crude oil prices and petroleum product prices," Journal of Commodity Markets, Elsevier, vol. 13(C), pages 1-15.
    13. Mann, Janelle M., 2013. "Is there a Global Relationship Across Crude Oil Benchmarks?," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150368, Agricultural and Applied Economics Association.
    14. Bahattin Buyuksahin, Thomas K. Lee, James T. Moser, and Michel A. Robe, 2013. "Physical Markets, Paper Markets and the WTI-Brent Spread," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    15. Población, Javier & Serna, Gregorio, 2016. "Is the refining margin stationary?," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 169-186.
    16. Zhang, Bing & Wang, Peijie, 2014. "Return and volatility spillovers between china and world oil markets," Economic Modelling, Elsevier, vol. 42(C), pages 413-420.
    17. Manel Hamdi & Chaker Aloui, 2015. "Forecasting Crude Oil Price Using Artificial Neural Networks: A Literature Survey," Economics Bulletin, AccessEcon, vol. 35(2), pages 1339-1359.
    18. Gallo, Andres & Mason, Paul & Shapiro, Steve & Fabritius, Michael, 2010. "What is behind the increase in oil prices? Analyzing oil consumption and supply relationship with oil price," Energy, Elsevier, vol. 35(10), pages 4126-4141.
    19. Stephen Wilcox & John Geppert, 2007. "An error-correction model for forecasting changes in foreign currency futures spreads," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 31(1), pages 122-142, March.
    20. Sun, Shaolong & Sun, Yuying & Wang, Shouyang & Wei, Yunjie, 2018. "Interval decomposition ensemble approach for crude oil price forecasting," Energy Economics, Elsevier, vol. 76(C), pages 274-287.
    21. Yu, Lean & Wang, Zishu & Tang, Ling, 2015. "A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting," Applied Energy, Elsevier, vol. 156(C), pages 251-267.
    22. Jiang Wu & Yu Chen & Tengfei Zhou & Taiyong Li, 2019. "An Adaptive Hybrid Learning Paradigm Integrating CEEMD, ARIMA and SBL for Crude Oil Price Forecasting," Energies, MDPI, Open Access Journal, vol. 12(7), pages 1-23, April.
    23. Mingming, Tang & Jinliang, Zhang, 2012. "A multiple adaptive wavelet recurrent neural network model to analyze crude oil prices," Journal of Economics and Business, Elsevier, vol. 64(4), pages 275-286.
    24. Juan Carlos Cuestas & Paulo Jose Regis, 2008. "Nonlinearities and the order of integration of oil prices," Working Papers 2008/15, Nottingham Trent University, Nottingham Business School, Economics Division.
    25. Chen, K.C. & Chen, Shaoling & Wu, Lifan, 2009. "Price causal relations between China and the world oil markets," Global Finance Journal, Elsevier, vol. 20(2), pages 107-118.
    26. Viviana Fernandez, 2008. "Traditional versus novel forecasting techniques: how much do we gain?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(7), pages 637-648.
    27. Yu, Lean & Wang, Shouyang & Lai, Kin Keung, 2008. "Forecasting crude oil price with an EMD-based neural network ensemble learning paradigm," Energy Economics, Elsevier, vol. 30(5), pages 2623-2635, September.
    28. Fernandez, Viviana, 2007. "Wavelet- and SVM-based forecasts: An analysis of the U.S. metal and materials manufacturing industry," Resources Policy, Elsevier, vol. 32(1-2), pages 80-89.
    29. Adland, Roar & Benth, Fred Espen & Koekebakker, Steen, 2018. "Multivariate modeling and analysis of regional ocean freight rates," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 194-221.
    30. Moutinho, Victor & Bento, João Paulo Cerdeira & Hajko, Vladimír, 2017. "Price relationships between crude oil and transport fuels in the European Union before and after the 2008 financial crisis," Utilities Policy, Elsevier, vol. 45(C), pages 76-83.
    31. Polanco Martínez, Josué M. & Abadie, Luis M. & Fernández-Macho, J., 2018. "A multi-resolution and multivariate analysis of the dynamic relationships between crude oil and petroleum-product prices," Applied Energy, Elsevier, vol. 228(C), pages 1550-1560.
    32. Ibrahim, Mohammed & Florkowski, Wojciech J., 2009. "Forecasting Price Relationships among U.S Tree Nuts Prices," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 47212, Southern Agricultural Economics Association.
    33. Wu, Yu-Xi & Wu, Qing-Biao & Zhu, Jia-Qi, 2019. "Improved EEMD-based crude oil price forecasting using LSTM networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 114-124.
    34. Wang, Minggang & Zhao, Longfeng & Du, Ruijin & Wang, Chao & Chen, Lin & Tian, Lixin & Eugene Stanley, H., 2018. "A novel hybrid method of forecasting crude oil prices using complex network science and artificial intelligence algorithms," Applied Energy, Elsevier, vol. 220(C), pages 480-495.
    35. Nademi, Arash & Nademi, Younes, 2018. "Forecasting crude oil prices by a semiparametric Markov switching model: OPEC, WTI, and Brent cases," Energy Economics, Elsevier, vol. 74(C), pages 757-766.
    36. Elmarzougui, Eskandar & Larue, Bruno, 2011. "On the Evolving Relationship between Corn and Oil Prices," Working Papers 118580, University of Laval, Center for Research on the Economics of the Environment, Agri-food, Transports and Energy (CREATE).
    37. Andrés García Mirantes & Javier Población & Gregorio Serna, 2012. "Analyzing the dynamics of the refining margin: implications for valuation and hedging," Quantitative Finance, Taylor & Francis Journals, vol. 12(12), pages 1839-1855, December.
    38. Gao, Xiangyun & Fang, Wei & An, Feng & Wang, Yue, 2017. "Detecting method for crude oil price fluctuation mechanism under different periodic time series," Applied Energy, Elsevier, vol. 192(C), pages 201-212.
    39. Movagharnejad, Kamyar & Mehdizadeh, Bahman & Banihashemi, Morteza & Kordkheili, Masoud Sheikhi, 2011. "Forecasting the differences between various commercial oil prices in the Persian Gulf region by neural network," Energy, Elsevier, vol. 36(7), pages 3979-3984.
    40. Wang, Minggang & Tian, Lixin & Zhou, Peng, 2018. "A novel approach for oil price forecasting based on data fluctuation network," Energy Economics, Elsevier, vol. 71(C), pages 201-212.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 2 papers 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-EEC: European Economics (1) 2018-09-24
  2. NEP-MIC: Microeconomics (1) 2004-09-12

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Massimo Giovannini should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.