Automated Author ProfileAnagol, Santosh
Anagol, Santosh
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 3.5 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
We study a natural experiment in the Indian mutual funds sector that created a 22-month period in which closed-end funds were allowed to charge an arguably shrouded fee, whereas open-end funds were forced to charge entry loads. Forty-five new closed-end funds were started during this period, collecting $7.6 billion US, whereas only two closed-end funds were started in the 66 months prior to this period, collecting $42 billion US, and no closed-end funds were started in the 20 months after this period. We estimate that investors lost and fund firms gained approximately $350 million US due to this shrouding. (JEL D14, G23, G28, O16)
Authors
- Anagol, Santosh ;
- Kim, Hugh Hoikwang
We study a natural experiment in the Indian mutual funds sector that created a 22-month period in which closed-end funds were allowed to charge an arguably shrouded fee, whereas open-end funds were forced to charge entry loads. Forty-five new closed-end funds were started during this period, collecting $7.6 billion US, whereas only two closed-end funds were started in the 66 months prior to this period, collecting $42 billion US, and no closed-end funds were started in the 20 months after this period. We estimate that investors lost and fund firms gained approximately $350 million US due to this shrouding. (JEL D14, G23, G28, O16)
Authors
- Anagol, Santosh ;
- Kim, Hugh Hoikwang