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Carlo Romano Marcello Alessandro Santagiustina

Personal Details

First Name:Carlo
Middle Name:Romano Marcello Alessandro
Last Name:Santagiustina
Suffix:
RePEc Short-ID:psa1342
[This author has chosen not to make the email address public]
http://www.unive.it/data/persone/11229706

Affiliation

Dipartimento di Economia
Università Ca' Foscari Venezia

Venezia, Italy
http://www.unive.it/dip.economia
RePEc:edi:dsvenit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Michele Costola & Matteo Iacopini & Carlo R. M. A. Santagiustina, 2021. "On the "mementum" of Meme Stocks," Papers 2106.03691, arXiv.org.
  2. Michele Costola & Matteo Iacopini & Carlo R. M. A. Santagiustina, 2020. "Public Concern and the Financial Markets during the COVID-19 outbreak," Papers 2005.06796, arXiv.org.
  3. Matteo Iacopini & Carlo R. M. A. Santagiustina, 2020. "Filtering the intensity of public concern from social media count data with jumps," Papers 2012.13267, arXiv.org.
  4. Carlo Romano Marcello Alessandro Santagiustina & Matteo Iacopini, 2020. "Visualizing and comparing distributions with half-disk density strips," Papers 2006.16063, arXiv.org.

Articles

  1. Matteo Iacopini & Carlo R.M.A. Santagiustina, 2021. "Filtering the intensity of public concern from social media count data with jumps," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(4), pages 1283-1302, October.
  2. Costola, Michele & Iacopini, Matteo & Santagiustina, Carlo R.M.A., 2021. "On the “mementum” of meme stocks," Economics Letters, Elsevier, vol. 207(C).
  3. Costola, Michele & Iacopini, Matteo & Santagiustina, Carlo R.M.A., 2021. "Google search volumes and the financial markets during the COVID-19 outbreak," Finance Research Letters, Elsevier, vol. 42(C).

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. Michele Costola & Matteo Iacopini & Carlo R. M. A. Santagiustina, 2021. "On the "mementum" of Meme Stocks," Papers 2106.03691, arXiv.org.

    Cited by:

    1. Jones, Jason J., 2021. "A Dataset for the Study of Identity at Scale: Annual Prevalence of American Twitter Users with specified Token in their Profile Bio - 2015-2020," SocArXiv cm5g7, Center for Open Science.
    2. Hideyuki Takagi, 2021. "Exploring the Endogenous Nature of Meme Stocks Using the Log-Periodic Power Law Model and Confidence Indicator," Papers 2110.06190, arXiv.org.
    3. Ilaria Gianstefani & Luigi Longo & Massimo Riccaboni, 2022. "The echo chamber effect resounds on financial markets: a social media alert system for meme stocks," Papers 2203.13790, arXiv.org.

  2. Michele Costola & Matteo Iacopini & Carlo R. M. A. Santagiustina, 2020. "Public Concern and the Financial Markets during the COVID-19 outbreak," Papers 2005.06796, arXiv.org.

    Cited by:

    1. Szczygielski, Jan Jakub & Bwanya, Princess Rutendo & Charteris, Ailie & Brzeszczyński, Janusz, 2021. "The only certainty is uncertainty: An analysis of the impact of COVID-19 uncertainty on regional stock markets," Finance Research Letters, Elsevier, vol. 43(C).
    2. Osman Taylan & Abdulaziz S. Alkabaa & Mustafa Tahsin Yılmaz, 2022. "Impact of COVID-19 on G20 countries: analysis of economic recession using data mining approaches," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-30, December.
    3. Jiang, Jie & Hou, Jack & Wang, Cangyu & Liu, HaiYue, 2021. "COVID-19 impact on firm investment—Evidence from Chinese publicly listed firms," Journal of Asian Economics, Elsevier, vol. 75(C).
    4. Fu Qiao & Yan Yan, 2020. "How does stock market reflect the change in economic demand? A study on the industry-specific volatility spillover networks of China's stock market during the outbreak of COVID-19," Papers 2007.07487, arXiv.org.
    5. Costola, Michele & Hinz, Oliver & Nofer, Michael & Pelizzon, Loriana, 2023. "Machine learning sentiment analysis, COVID-19 news and stock market reactions," Research in International Business and Finance, Elsevier, vol. 64(C).
    6. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2023. "Which COVID-19 information really impacts stock markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    7. Szczygielski, Jan Jakub & Brzeszczyński, Janusz & Charteris, Ailie & Bwanya, Princess Rutendo, 2022. "The COVID-19 storm and the energy sector: The impact and role of uncertainty," Energy Economics, Elsevier, vol. 109(C).
    8. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2022. "The impact and role of COVID-19 uncertainty: A global industry analysis," International Review of Financial Analysis, Elsevier, vol. 80(C).

  3. Matteo Iacopini & Carlo R. M. A. Santagiustina, 2020. "Filtering the intensity of public concern from social media count data with jumps," Papers 2012.13267, arXiv.org.

    Cited by:

    1. Anese, Gianluca & Corazza, Marco & Costola, Michele & Pelizzon, Loriana, 2021. "Impact of public news sentiment on stock market index return and volatility," SAFE Working Paper Series 322, Leibniz Institute for Financial Research SAFE.
    2. Xiao‐Li Meng, 2021. "Enhancing (publications on) data quality: Deeper data minding and fuller data confession," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(4), pages 1161-1175, October.

Articles

  1. Matteo Iacopini & Carlo R.M.A. Santagiustina, 2021. "Filtering the intensity of public concern from social media count data with jumps," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(4), pages 1283-1302, October.
    See citations under working paper version above.
  2. Costola, Michele & Iacopini, Matteo & Santagiustina, Carlo R.M.A., 2021. "On the “mementum” of meme stocks," Economics Letters, Elsevier, vol. 207(C).
    See citations under working paper version above.
  3. Costola, Michele & Iacopini, Matteo & Santagiustina, Carlo R.M.A., 2021. "Google search volumes and the financial markets during the COVID-19 outbreak," Finance Research Letters, Elsevier, vol. 42(C).

    Cited by:

    1. Li, Sufang & Xu, Qiufan & Lv, Yixue & Yuan, Di, 2022. "Public attention, oil and gold markets during the COVID-19: Evidence from time-frequency analysis," Resources Policy, Elsevier, vol. 78(C).
    2. Anese, Gianluca & Corazza, Marco & Costola, Michele & Pelizzon, Loriana, 2021. "Impact of public news sentiment on stock market index return and volatility," SAFE Working Paper Series 322, Leibniz Institute for Financial Research SAFE.
    3. Iyer, Subramanian Rama & Simkins, Betty J., 2022. "COVID-19 and the Economy: Summary of research and future directions," Finance Research Letters, Elsevier, vol. 47(PB).
    4. Dash, Saumya Ranjan & Maitra, Debasish, 2022. "The COVID-19 pandemic uncertainty, investor sentiment, and global equity markets: Evidence from the time-frequency co-movements," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    5. Puhr, Harald & Müllner, Jakob, 2022. "Foreign to all but fluent in many: The effect of multinationality on shock resilience," Journal of World Business, Elsevier, vol. 57(6).
    6. Michele Costola & Michael Donadelli & Luca Gerotto & Ivan Gufler, 2022. "Global risks, the macroeconomy, and asset prices," Empirical Economics, Springer, vol. 63(5), pages 2357-2388, November.
    7. Emre Cevik & Buket Kirci Altinkeski & Emrah Ismail Cevik & Sel Dibooglu, 2022. "Investor sentiments and stock markets during the COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-34, December.
    8. Birindelli, Giuliana & Chiappini, Helen & Jalal, Raja Nabeel-Ud-Din, 2023. "SFDR, investor attention, and European financial markets," Finance Research Letters, Elsevier, vol. 56(C).
    9. Ruzita Abdul-Rahim & Airil Khalid & Zulkefly Abdul Karim & Mamunur Rashid, 2022. "Exploring the Driving Forces of Stock-Cryptocurrency Comovements during COVID-19 Pandemic: An Analysis Using Wavelet Coherence and Seemingly Unrelated Regression," Mathematics, MDPI, vol. 10(12), pages 1-19, June.
    10. Mariem Talbi & Monia Mokhtar Ferchichi & Fatma Ismaalia & Samia Samil, 2024. "Unveiling COVID-19’s impact on Financial Stability: A Comprehensive Study of Price Dynamics and Investor Behavior in G7 Markets," International Journal of Economics and Financial Issues, Econjournals, vol. 14(1), pages 216-232, January.
    11. Kerry Liu, 2023. "America's decoupling from China: A perspective from stock markets," Economic Affairs, Wiley Blackwell, vol. 43(1), pages 32-52, February.
    12. Papadamou, Stephanos & Fassas, Athanasios P. & Kenourgios, Dimitris & Dimitriou, Dimitrios, 2023. "Effects of the first wave of COVID-19 pandemic on implied stock market volatility: International evidence using a google trend measure," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
    13. Shuyu Zhang & Dunli Zhang & Jianming Zheng & Walter Aerts & Dandan Xu, 2023. "Plus Token and investor searching behaviour – A cryptocurrency Ponzi scheme," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(4), pages 4713-4728, December.
    14. Diaz-Balteiro, L. & Alfranca, O. & Voces, R. & Soliño, M., 2023. "Using google search patterns to explain the demand for wild edible mushrooms," Forest Policy and Economics, Elsevier, vol. 152(C).

More information

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Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 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-MST: Market Microstructure (2) 2020-05-25 2021-06-28. Author is listed
  2. NEP-BIG: Big Data (1) 2020-05-25. Author is listed
  3. NEP-CWA: Central and Western Asia (1) 2021-06-28. Author is listed
  4. NEP-ETS: Econometric Time Series (1) 2021-01-11. Author is listed
  5. NEP-FMK: Financial Markets (1) 2021-06-28. Author is listed

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