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Measuring “Dark Matter” in Asset Pricing Models
We formalize the concept of “dark matter” in asset pricing models by quantifying the additional informativeness of cross-equation restrictions about fundamental dynamics. The dark-matter measure captures the degree of fragility for models that are potentially misspecified and unstable: a large dark-matter measure indicates that the model lacks internal refutability (weak power of optimal specification tests) and external validity (high overfitting tendency and poor out-of-sample fit). The measure can be computed at low cost even for complex dynamic structural models. To illustrate its applications, we provide quantitative examples applying the measure to (time-varying) rare-disaster risk and long-run risk models.
Ketersediaan
| Call Number | Location | Available |
|---|---|---|
| PSB lt.2 - Karya Akhir (Koleksi Majalah) | 1 |
| Penerbit | USA The American Finance Association., 2024 |
|---|---|
| Edisi | Volume 79, Issue 2, April 2024, Pages 843-902 |
| Subjek | Asset pricing models Long-Run Risk Models Dynamic Structural Models |
| ISBN/ISSN | 1540-6261 |
| Klasifikasi | NONE |
| Deskripsi Fisik | ill, chart, table, grafik, 924 hal, 20 cm |
| Info Detail Spesifik | The Journal of Finance |
| Other Version/Related | Tidak tersedia versi lain |
| Lampiran Berkas |
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