Name
Abstract | ||
|---|---|---|
Earlier investment practices show that there lies a discrepancy between the actual fund strategy and stated fund strategy. Using a minimum spanning tree (MST) and planar maximally-filtered graph (PMFG), we build a network of open-ended funds in China's market and investigate the evolution characteristics of the networks over multiple time periods and timescales. The evolution characteristics, especially the locations of clustering central nodes, show that the actual strategy of the open-ended funds in China's market significantly differs from the original stated strategy. When the investment horizon and timescale extend, the funds approach an identical actual strategy. This work introduces a novel network-based quantitative method to help investors identify the actual strategy of open-ended funds. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.3390/e17127861 | ENTROPY |
Keywords | Field | DocType |
complex fund network,fund strategy,time period,timescale | Mathematical optimization,Actuarial science,Open-end fund,Investment strategy,Microeconomics,Umbrella fund,Fund administration,Cluster analysis,Manager of managers fund,Target date fund,Mathematics,Minimum spanning tree | Journal |
Volume | Issue | Citations |
17 | 12 | 5 |
PageRank | References | Authors |
0.71 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Honglin Yang | 1 | 5 | 1.05 |
| Penglan Fang | 2 | 5 | 0.71 |
| Hong Wan | 3 | 10 | 1.80 |
| Yucan Liu | 4 | 5 | 1.05 |
| Hui Lei | 5 | 5 | 0.71 |