Table 9

Disaggregated performance comparison, one-year horizon, monthly frequency

Panel A: Roos2×100 for quintile portfolios
Book-to-market
Earnings-to-price
Q1Q2Q3Q4Q5Q1Q2Q3Q4Q5

Valuation ratiosMW8.17.18.79.112.68.97.38.810.111.6
ANN14.717.111.914.012.113.114.616.813.414.1
RF6.716.29.417.815.48.013.017.716.116.7
MW+ANN14.915.710.813.414.913.113.816.714.515.5
MW+RF8.919.013.421.821.410.117.022.420.422.5


Dollar trading volume

Amihud illiquidity
Q1Q2Q3Q4Q5Q1Q2Q3Q4Q5

LiquidityMW15.710.510.26.2−0.9−1.04.17.310.714.9
ANN17.213.114.515.88.08.212.412.816.016.5
RF21.816.016.814.0−11.3−8.94.812.419.420.1
MW+ANN19.613.915.716.22.94.110.212.717.318.7
MW+RF27.520.020.717.1−11.2−7.58.115.123.325.0


12-month momentum

Industry momentum
Q1Q2Q3Q4Q5Q1Q2Q3Q4Q5

MomentumMW13.99.47.55.95.87.711.110.310.36.4
ANN13.911.114.813.215.913.017.415.314.010.8
RF15.212.713.115.37.213.118.919.611.10.5
MW+ANN17.010.813.112.214.311.917.816.116.29.5
MW+RF21.418.116.318.47.415.623.423.617.51.8
Panel A: Roos2×100 for quintile portfolios
Book-to-market
Earnings-to-price
Q1Q2Q3Q4Q5Q1Q2Q3Q4Q5

Valuation ratiosMW8.17.18.79.112.68.97.38.810.111.6
ANN14.717.111.914.012.113.114.616.813.414.1
RF6.716.29.417.815.48.013.017.716.116.7
MW+ANN14.915.710.813.414.913.113.816.714.515.5
MW+RF8.919.013.421.821.410.117.022.420.422.5


Dollar trading volume

Amihud illiquidity
Q1Q2Q3Q4Q5Q1Q2Q3Q4Q5

LiquidityMW15.710.510.26.2−0.9−1.04.17.310.714.9
ANN17.213.114.515.88.08.212.412.816.016.5
RF21.816.016.814.0−11.3−8.94.812.419.420.1
MW+ANN19.613.915.716.22.94.110.212.717.318.7
MW+RF27.520.020.717.1−11.2−7.58.115.123.325.0


12-month momentum

Industry momentum
Q1Q2Q3Q4Q5Q1Q2Q3Q4Q5

MomentumMW13.99.47.55.95.87.711.110.310.36.4
ANN13.911.114.813.215.913.017.415.314.010.8
RF15.212.713.115.37.213.118.919.611.10.5
MW+ANN17.010.813.112.214.311.917.816.116.29.5
MW+RF21.418.116.318.47.415.623.423.617.51.8
Panel B:Roos2×100for industry portfolios (one digit SIC code)

0123456789
MW6.65.411.98.09.08.712.08.016.92.1
ANN23.912.712.215.816.68.112.017.33.612.9
RF29.315.610.813.216.57.711.911.49.515.2
MW+ANN22.78.313.414.319.28.615.616.511.018.4
MW+RF31.618.114.616.022.512.518.112.421.512.6
Panel B:Roos2×100for industry portfolios (one digit SIC code)

0123456789
MW6.65.411.98.09.08.712.08.016.92.1
ANN23.912.712.215.816.68.112.017.33.612.9
RF29.315.610.813.216.57.711.911.49.515.2
MW+ANN22.78.313.414.319.28.615.616.511.018.4
MW+RF31.618.114.616.022.512.518.112.421.512.6

Notes: To obtain the results in Panel A, we sort the sample stocks into quintiles, according to the size of stock-specific valuation ratios (book-to-market and earnings-to-price), liquidity (Amihud illiquidity and dollar trading volume), and momentum (industry and 12-month). The sorting is renewed each month, taking into account the availability conditions outlined in Section 2. The pooled Roos2×100 according to Equation (15) is reported for each quintile portfolio and the approaches of interest, namely, MW, pure ML (ANN and RF), and theory assisted by machine learning (MW+RF and MW+ANN). Panel B shows the pooled Roos2×100 for each of the 10 industry portfolios based on the one-digit SIC code. The RPE are computed at the monthly (EOM) frequency. The machine learning results are obtained using the short training scheme depicted in Figure 3.

Table 9

Disaggregated performance comparison, one-year horizon, monthly frequency

Panel A: Roos2×100 for quintile portfolios
Book-to-market
Earnings-to-price
Q1Q2Q3Q4Q5Q1Q2Q3Q4Q5

Valuation ratiosMW8.17.18.79.112.68.97.38.810.111.6
ANN14.717.111.914.012.113.114.616.813.414.1
RF6.716.29.417.815.48.013.017.716.116.7
MW+ANN14.915.710.813.414.913.113.816.714.515.5
MW+RF8.919.013.421.821.410.117.022.420.422.5


Dollar trading volume

Amihud illiquidity
Q1Q2Q3Q4Q5Q1Q2Q3Q4Q5

LiquidityMW15.710.510.26.2−0.9−1.04.17.310.714.9
ANN17.213.114.515.88.08.212.412.816.016.5
RF21.816.016.814.0−11.3−8.94.812.419.420.1
MW+ANN19.613.915.716.22.94.110.212.717.318.7
MW+RF27.520.020.717.1−11.2−7.58.115.123.325.0


12-month momentum

Industry momentum
Q1Q2Q3Q4Q5Q1Q2Q3Q4Q5

MomentumMW13.99.47.55.95.87.711.110.310.36.4
ANN13.911.114.813.215.913.017.415.314.010.8
RF15.212.713.115.37.213.118.919.611.10.5
MW+ANN17.010.813.112.214.311.917.816.116.29.5
MW+RF21.418.116.318.47.415.623.423.617.51.8
Panel A: Roos2×100 for quintile portfolios
Book-to-market
Earnings-to-price
Q1Q2Q3Q4Q5Q1Q2Q3Q4Q5

Valuation ratiosMW8.17.18.79.112.68.97.38.810.111.6
ANN14.717.111.914.012.113.114.616.813.414.1
RF6.716.29.417.815.48.013.017.716.116.7
MW+ANN14.915.710.813.414.913.113.816.714.515.5
MW+RF8.919.013.421.821.410.117.022.420.422.5


Dollar trading volume

Amihud illiquidity
Q1Q2Q3Q4Q5Q1Q2Q3Q4Q5

LiquidityMW15.710.510.26.2−0.9−1.04.17.310.714.9
ANN17.213.114.515.88.08.212.412.816.016.5
RF21.816.016.814.0−11.3−8.94.812.419.420.1
MW+ANN19.613.915.716.22.94.110.212.717.318.7
MW+RF27.520.020.717.1−11.2−7.58.115.123.325.0


12-month momentum

Industry momentum
Q1Q2Q3Q4Q5Q1Q2Q3Q4Q5

MomentumMW13.99.47.55.95.87.711.110.310.36.4
ANN13.911.114.813.215.913.017.415.314.010.8
RF15.212.713.115.37.213.118.919.611.10.5
MW+ANN17.010.813.112.214.311.917.816.116.29.5
MW+RF21.418.116.318.47.415.623.423.617.51.8
Panel B:Roos2×100for industry portfolios (one digit SIC code)

0123456789
MW6.65.411.98.09.08.712.08.016.92.1
ANN23.912.712.215.816.68.112.017.33.612.9
RF29.315.610.813.216.57.711.911.49.515.2
MW+ANN22.78.313.414.319.28.615.616.511.018.4
MW+RF31.618.114.616.022.512.518.112.421.512.6
Panel B:Roos2×100for industry portfolios (one digit SIC code)

0123456789
MW6.65.411.98.09.08.712.08.016.92.1
ANN23.912.712.215.816.68.112.017.33.612.9
RF29.315.610.813.216.57.711.911.49.515.2
MW+ANN22.78.313.414.319.28.615.616.511.018.4
MW+RF31.618.114.616.022.512.518.112.421.512.6

Notes: To obtain the results in Panel A, we sort the sample stocks into quintiles, according to the size of stock-specific valuation ratios (book-to-market and earnings-to-price), liquidity (Amihud illiquidity and dollar trading volume), and momentum (industry and 12-month). The sorting is renewed each month, taking into account the availability conditions outlined in Section 2. The pooled Roos2×100 according to Equation (15) is reported for each quintile portfolio and the approaches of interest, namely, MW, pure ML (ANN and RF), and theory assisted by machine learning (MW+RF and MW+ANN). Panel B shows the pooled Roos2×100 for each of the 10 industry portfolios based on the one-digit SIC code. The RPE are computed at the monthly (EOM) frequency. The machine learning results are obtained using the short training scheme depicted in Figure 3.

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