Automated Author ProfileChien, YiLi
Chien, YiLi
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: 3.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Our paper examines whether the failure of unsophisticated investors to rebalance their portfolios can help to explain the countercyclical volatility of aggregate risk compensation in financial markets. To answer this question, we set up a model in which a large mass of investors do not rebalance their portfolio shares in response to aggregate shocks, while a smaller mass of active investors do. We find that intermittent rebalancers more than double the effect of aggregate shocks on the time variation in risk premia by forcing active traders to sell more shares in good times and buy more shares in bad times. (JEL D14, E32, G11, G12)
Authors
- Chien, YiLi ;
- Cole, Harold ;
- Lustig, Hanno
Our paper examines whether the failure of unsophisticated investors to rebalance their portfolios can help to explain the countercyclical volatility of aggregate risk compensation in financial markets. To answer this question, we set up a model in which a large mass of investors do not rebalance their portfolio shares in response to aggregate shocks, while a smaller mass of active investors do. We find that intermittent rebalancers more than double the effect of aggregate shocks on the time variation in risk premia by forcing active traders to sell more shares in good times and buy more shares in bad times. (JEL D14, E32, G11, G12)
Authors
- Chien, YiLi ;
- Cole, Harold ;
- Lustig, Hanno