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Equilibrium Data Mining and Data Abundance
We study theoretically how the proliferation of new data (“data abundance”) affects the allocation of capital between quantitative and nonquantitative asset managers (“data miners” and “experts”), their performance, and price informativeness. Data miners search for predictors of asset payoffs and select those with a sufficiently high precision. Data abundance raises the precision of the best predictors, but it can induce data miners to search less intensively for high-precision signals. In this case, their performance becomes more dispersed and they receive less capital. Nevertheless, data abundance always raises price informativeness and can therefore reduce asset managers' average performance.
Ketersediaan
| Call Number | Location | Available |
|---|---|---|
| PSB lt.2 - Karya Akhir (Koleksi Majalah) | 1 |
| Penerbit | USA: The American Finance Association 2025 |
|---|---|
| Edisi | Volume 80, Issue 1, February 2025, Pages 211-258 |
| Subjek | Data Abundance Trading Information Equilibrium Data Mining |
| ISBN/ISSN | 1540-6261 |
| Klasifikasi | NONE |
| Deskripsi Fisik | ill, chart, table, grafik, 649 hal, 20 cm |
| Info Detail Spesifik | The Journal of Finance |
| Other Version/Related | Tidak tersedia versi lain |
| Lampiran Berkas |