5 datasets found
  1. r

    Heterogeneity and dynamics in network models (replication data)

    • resodate.org
    Updated Oct 2, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Enzo DInnocenzo; Andre Lucas; Anne Opschoor; Xingmin Zhang (2025). Heterogeneity and dynamics in network models (replication data) [Dataset]. https://resodate.org/resources/aHR0cHM6Ly9qb3VybmFsZGF0YS56YncuZXUvZGF0YXNldC9oZXRlcm9nZW5laXR5LWFuZC1keW5hbWljcy1pbi1uZXR3b3JrLW1vZGVscw==
    Explore at:
    Dataset updated
    Oct 2, 2025
    Dataset provided by
    ZBW
    ZBW Journal Data Archive
    Journal of Applied Econometrics
    Authors
    Enzo DInnocenzo; Andre Lucas; Anne Opschoor; Xingmin Zhang
    Description

    Description of dataset (from Datastream, Bloomberg and BIS) corresponding to the paper "Heterogeneity and Dynamics in Network Models" by Enzo D'Innocenzo, Andre Lucas, Anne Opschoor, Xingmin Zhang (corresponding author)

  2. Managerial Attributes and Corporate Hedging Decision

    • zenodo.org
    Updated Sep 27, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ademola Ajibade; Ademola Ajibade (2024). Managerial Attributes and Corporate Hedging Decision [Dataset]. http://doi.org/10.5281/zenodo.13851253
    Explore at:
    Dataset updated
    Sep 27, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Ademola Ajibade; Ademola Ajibade
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 27, 2024
    Description

    This dataset is a panel dataset of 241 non-financial African corporations spanning 2013-2022. This data is a sample of the attributes of executives in Africa. This was collated from a secondary source, including annual reports, financial databases (Bloomberg, Fitch Connect, and Datastream), Linkendin, and the Times Higher Education Ranking.

  3. m

    Data for: Nuclear hazard and asset prices: Implications of nuclear disasters...

    • data.mendeley.com
    Updated Nov 3, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ana Belén Alonso-Conde (2020). Data for: Nuclear hazard and asset prices: Implications of nuclear disasters in the cross-sectional behavior of stock returns [Dataset]. http://doi.org/10.17632/wv94fj59t4.2
    Explore at:
    Dataset updated
    Nov 3, 2020
    Authors
    Ana Belén Alonso-Conde
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Description

    Using all stocks listed in the Tokyo Stock Exchange and macroeconomic data for Japan, the dataset comprises the following series:

    1. Japan_25_Portfolios_MV_PTBV: Monthly returns for 25 size-book-to-market equity portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database)
    2. Japan_25_Portfolios_MV_PE: Monthly returns for 25 size-PE portfolios, following the Fama and French (1993) methodology. (Raw data source: Datastream database)
    3. Japan_50_Portfolios_SECTOR: Monthly returns for 50 industry portfolios. (Raw data source: Datastream database)
    4. Japan_3 Factors: Fama and French three-factors (RM, SMB and HML), following the Fama and French (1993) methodology. (Raw data source: Datastream database)
    5. Japan_5 Factors: Fama and French five-factors (RM, SMB, HML, RMW, and CMA), following the Fama and French (2015) methodology. (Raw data source: Datastream database)
    6. Japan_NUCLEAR_Y: Instrument in years with a value of 1 when a nuclear disaster has occurred somewhere in the world and 0 otherwise. (Raw data source: Bloomberg and BBC News)
    7. Japan_NUCLEAR_M: Instrument in months with a value of 1 when a nuclear disaster has occurred somewhere in the world and 0 otherwise. (Raw data source: Bloomberg and BBC News)
    8. Japan_RF_M: Three-month interest rate of the Treasury Bill for Japan. (Raw data source: OECD)
    9. Company data: Names and general data of the companies that constitute the sample. (Raw data source: Datastream database)
    10. Number of stocks in portfolios: Number of stocks included each year in Japan_25_Portfolios_MV_PTBV, Japan_25_Portfolios_MV_PE and Japan_50_Portfolios_SECTOR. (Raw data source: Datastream database)

    We have produced all return series using the following data from Datastream: (i) total return index (RI series), (ii) market value (MV series), (iii) market-to-book equity (PTBV series), (iv) total assets (WC02999 series), (v) return on equity (WC08301 series), (vi) price-to-earnings ratio (PE series), and (vii) industry (SECTOR series). We have used the generic rules suggested by Griffin, Kelly, & Nardari (2010) for excluding non-common equity securities from Datastream data. We also exclude stocks with less than twelve observations. Accordingly, our sample comprises a total number of 5,212 stocks.

    REFERENCES:

    Fama, E. F. and French, K. R. (1993). Common risk factors in the returns on stocks and bonds. Journal of Financial Economics, 33, 3–56. Fama, E. F. and French, K. R. (2015). A five-factor asset pricing model. Journal of Financial Economics, 116, 1–22. Griffin, J. M., Kelly, P., and Nardari, F. (2010). Do market efficiency measures yield correct inferences? A comparison of developed and emerging markets. Review of Financial Studies, 23, 3225–3277.

  4. t

    Data for: Energy prices, costs of energy and rational bubbles in the...

    • service.tib.eu
    • data.mendeley.com
    Updated Nov 17, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Data for: Energy prices, costs of energy and rational bubbles in the renewable energy sector [Dataset]. https://service.tib.eu/ldm_nfdi4energy/ldmservice/dataset/openaire_995f798e-1596-46fb-9cee-fe66bea144d6
    Explore at:
    Dataset updated
    Nov 17, 2025
    Description

    {"The dataset comprises the following series: 01_RI_data_series: Return index series for the 27 companies included in the NASDAQ OMX Renewable Energy Gen (GRNREG) index (source: Datastream). 02_DY_data_series: Dividend yield series for the 27 companies included in the NASDAQ OMX Renewable Energy Gen (GRNREG) index (source: Datastream). 03_MV_data_series: Market value series for the 27 companies included in the NASDAQ OMX Renewable Energy Gen (GRNREG) index (source: Datastream). 04_Exchange_rates: Exchange rates (source: OECD). 05_LCOE: Average Levelized cost of energy for the United States and Europe (source: IRENA (2022)). 06_PriceLCOE_ratio: Energy prices relative to the levelized cost of energy, where energy prices are pool prices compiled from the Nord Pool power market. 07_Risk_free_and_ERP: (i) 10-year German bond yield and 20-year U.S. bond yield, and (ii) equity risk premium for Europe and U.S. (source: Bloomberg). 08_Unlevered_Betas: Unlevered betas for 23 European firms and 11 North-American firms whose activity is focused on the renewable energy sector (source: S&P Capital IQ). REFERENCES: IRENA, 2022. Renewable Energy Statistics 2022, available at: https://www.irena.org/-/media/Files/IRENA/Agency/Publication/2022/Jul/IRENA_Renewable_energy_statistics_2022.pdf (accessed 12 May 2024)."}

  5. m

    Data for: Asian Financial Market Integration and the Role of Chinese...

    • data.mendeley.com
    Updated Oct 26, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Byung-Joo Lee (2018). Data for: Asian Financial Market Integration and the Role of Chinese Financial Market [Dataset]. http://doi.org/10.17632/pyhv9h52pk.1
    Explore at:
    Dataset updated
    Oct 26, 2018
    Authors
    Byung-Joo Lee
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    China
    Description

    Data consists of 10 Asian countries, Japan, China, Hong Kong, Taiwan, South Korea, Singapore, Malaysia, Thailand, Indonesia, Philippines plus U.S., total 11 countries. Monthly stock market index and nominal exchange rates (end of the month in local currency terms) are collected from Datastream from January 1990 to December 2013 total 288 monthly observations. Monthly dividend yield is obtained from the Bloomberg for the sample period.

  6. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Enzo DInnocenzo; Andre Lucas; Anne Opschoor; Xingmin Zhang (2025). Heterogeneity and dynamics in network models (replication data) [Dataset]. https://resodate.org/resources/aHR0cHM6Ly9qb3VybmFsZGF0YS56YncuZXUvZGF0YXNldC9oZXRlcm9nZW5laXR5LWFuZC1keW5hbWljcy1pbi1uZXR3b3JrLW1vZGVscw==

Heterogeneity and dynamics in network models (replication data)

Explore at:
Dataset updated
Oct 2, 2025
Dataset provided by
ZBW
ZBW Journal Data Archive
Journal of Applied Econometrics
Authors
Enzo DInnocenzo; Andre Lucas; Anne Opschoor; Xingmin Zhang
Description

Description of dataset (from Datastream, Bloomberg and BIS) corresponding to the paper "Heterogeneity and Dynamics in Network Models" by Enzo D'Innocenzo, Andre Lucas, Anne Opschoor, Xingmin Zhang (corresponding author)

Search
Clear search
Close search
Google apps
Main menu