Facebook
TwitterDescription 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)
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Facebook
TwitterAttribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
License information was derived automatically
Using all stocks listed in the Tokyo Stock Exchange and macroeconomic data for Japan, the dataset comprises the following series:
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.
Facebook
Twitter{"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)."}
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Facebook
TwitterDescription 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)