Table 3

Long-horizon empirical evidence and robustness check

Panel A. Long-horizon regressions and bootstrapping, monthly (1953:04–2015:12)
K = 3K = 6K = 12K = 24K = 36K = 60
rvwe
FAMC0.881*** (2.83) [2.47] 2.930.834*** (2.73) [2.36] 5.920.83*** (3.23) [2.79] 11.190.447*** (5.72) [3.63] 13.450.583*** (5.39) [6.08] 33.370.301*** (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] 1.771.107 (−1.12) [−1.40] 1.411.074 (1.66) [1.60] 3.63−1.918* (−2.04) [−1.33] 5.67
TermS4.013* (1.85) [1.52] 1.563.819** (2.42) [1.71] 2.932.484** (2.39) [1.51] 2.461.317*** (3.37) [2.10] 2.141.80* (1.86) [2.29] 9.992.385*** (4.21) [2.12] 12.56
rewe
FAMC0.928** (2.20) [1.92] 1.810.914** (2.11) [1.84] 3.650.915** (2.29) [2.06] 7.010.327*** (3.46) [2.26] 4.620.355** (2.76) [3.23] 8.050.201* (1.85) [0.83] 3.11
Panel B. Role of market cap in the denominator of FAMC, monthly (1926:07–2015:12)
RowIndependent variable definitionCoef(FAMC)CoefΔMCCoefΔFAN
1FAMC + ΔMC0.351*** (3.17)0.892 (1.54) 1,072
2FAMC + ΔFA0.348*** (3.14) −1.356 (−1.40)1,072
3FAMC when ΔFA > 0 and ΔMC < 00.597** (2.22)  262
4FAMC when ΔFA > 0 and ΔMC > 00.218 (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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