Long-horizon empirical evidence and robustness check
| Panel A. Long-horizon regressions and bootstrapping, monthly (1953:04–2015:12) | ||||||
|---|---|---|---|---|---|---|
| K = 3 | K = 6 | K = 12 | K = 24 | K = 36 | K = 60 | |
| rvwe | ||||||
| FAMC | 0.881*** (2.83) [2.47] 2.93 | 0.834*** (2.73) [2.36] 5.92 | 0.83*** (3.23) [2.79] 11.19 | 0.447*** (5.72) [3.63] 13.45 | 0.583*** (5.39) [6.08] 33.37 | 0.301*** (4.42) [2.22] 11.02 |
| RREL | −3.852* (−1.76) [−1.47] 1.42 | −3.752* (−1.90) [−1.59] 2.99 | −1.954 (−1.12) [−1.09] 1.77 | 1.107 (−1.12) [−1.40] 1.41 | 1.074 (1.66) [1.60] 3.63 | −1.918* (−2.04) [−1.33] 5.67 |
| TermS | 4.013* (1.85) [1.52] 1.56 | 3.819** (2.42) [1.71] 2.93 | 2.484** (2.39) [1.51] 2.46 | 1.317*** (3.37) [2.10] 2.14 | 1.80* (1.86) [2.29] 9.99 | 2.385*** (4.21) [2.12] 12.56 |
| rewe | ||||||
| FAMC | 0.928** (2.20) [1.92] 1.81 | 0.914** (2.11) [1.84] 3.65 | 0.915** (2.29) [2.06] 7.01 | 0.327*** (3.46) [2.26] 4.62 | 0.355** (2.76) [3.23] 8.05 | 0.201* (1.85) [0.83] 3.11 |
| Panel A. Long-horizon regressions and bootstrapping, monthly (1953:04–2015:12) | ||||||
|---|---|---|---|---|---|---|
| FAMC | 0.881*** (2.83) [2.47] 2.93 | 0.834*** (2.73) [2.36] 5.92 | 0.83*** (3.23) [2.79] 11.19 | 0.447*** (5.72) [3.63] 13.45 | 0.583*** (5.39) [6.08] 33.37 | 0.301*** (4.42) [2.22] 11.02 |
| RREL | −3.852* (−1.76) [−1.47] 1.42 | −3.752* (−1.90) [−1.59] 2.99 | −1.954 (−1.12) [−1.09] 1.77 | 1.107 (−1.12) [−1.40] 1.41 | 1.074 (1.66) [1.60] 3.63 | −1.918* (−2.04) [−1.33] 5.67 |
| TermS | 4.013* (1.85) [1.52] 1.56 | 3.819** (2.42) [1.71] 2.93 | 2.484** (2.39) [1.51] 2.46 | 1.317*** (3.37) [2.10] 2.14 | 1.80* (1.86) [2.29] 9.99 | 2.385*** (4.21) [2.12] 12.56 |
| FAMC | 0.928** (2.20) [1.92] 1.81 | 0.914** (2.11) [1.84] 3.65 | 0.915** (2.29) [2.06] 7.01 | 0.327*** (3.46) [2.26] 4.62 | 0.355** (2.76) [3.23] 8.05 | 0.201* (1.85) [0.83] 3.11 |
| Panel B. Role of market cap in the denominator of FAMC, monthly (1926:07–2015:12) | |||||
|---|---|---|---|---|---|
| Row | Independent variable definition | Coef(FAMC) | CoefΔMC | CoefΔFA | N |
| 1 | FAMC + ΔMC | 0.351*** (3.17) | 0.892 (1.54) | 1,072 | |
| 2 | FAMC + ΔFA | 0.348*** (3.14) | −1.356 (−1.40) | 1,072 | |
| 3 | FAMC when ΔFA > 0 and ΔMC < 0 | 0.597** (2.22) | 262 | ||
| 4 | FAMC when ΔFA > 0 and ΔMC > 0 | 0.218 (1.47) | 413 | ||
| Panel B. Role of market cap in the denominator of FAMC, monthly (1926:07–2015:12) | |||||
|---|---|---|---|---|---|
| Row | Independent variable definition | Coef(FAMC) | CoefΔMC | CoefΔFA | |
| 1 | FAMC + ΔMC | 0.351*** (3.17) | 0.892 (1.54) | 1,072 | |
| 2 | FAMC + ΔFA | 0.348*** (3.14) | −1.356 (−1.40) | 1,072 | |
| 3 | FAMC when ΔFA > 0 and ΔMC < 0 | 0.597** (2.22) | 262 | ||
| 4 | FAMC when ΔFA > 0 and ΔMC > 0 | 0.218 (1.47) | 413 | ||
Note(s): Panel A of Table 3 presents long-horizon regression results for continuously compounded excess returns on value-weighted market return at long horizons. It is based on predictive regression rt+1, t+k = a + βkξt + ∈t+1,t+k. Independent variables, ξ, are (1) FAMC, (2) RREL, (3) term spread and (4) dividend to price ratio. For each predictor, line 1 reports coefficient estimates, line 2 reports asymptotic Newey–West t-statistics (with K lags), line 3 reports t-statistics based on a 10,000-sample bootstrapping experiment and line 4 reports R2(%) of each regression. ***, ** and * represent statistical significance levels at 1, 5 and 10%, respectively. All variables used are in natural logs. The bottom part of this table presents the result for FAMC based on equally weighted return
The first two rows of panel B in Table 3 present how a simple change in market cap and total Fed assets affects the predictive power offered by FAMC for value-weighted market return, as shown by their respective coefficients. Row 3 (4) show what happens to the predictive power of FAMC when Fed's assets are increasing while market cap is decreasing (increasing)
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