Investor trading behavior and ST
| ST quintile | ||||||||
|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | Diff | FF3 | FF4 | |
| Panel A. Individual investors | ||||||||
| Low | 0.38 | 0.38 | 0.39 | 0.43 | 0.22 | −0.16 | −0.07 | −0.20 |
| (0.88) | (1.07) | (0.92) | (0.95) | (0.44) | (−0.55) | (−0.23) | (−0.70) | |
| High | 0.88 | 1.13 | 1.25 | 1.12 | −0.14 | −1.03 | −1.22 | −1.35 |
| (2.36) | (2.91) | (2.62) | (2.64) | (−0.25) | (−3.22) | (−3.89) | (−4.71) | |
| Panel B. Institutional investors | ||||||||
| Low | 0.74 | 0.98 | 0.97 | 0.96 | 0.36 | −0.37 | −0.43 | −0.57 |
| (1.85) | (2.47) | (2.42) | (2.15) | (0.70) | (−1.26) | (−1.36) | (−1.94) | |
| High | 0.26 | 0.23 | 0.50 | 0.48 | 0.34 | 0.08 | 0.12 | 0.01 |
| (0.63) | (0.61) | (1.29) | (1.17) | (0.72) | (0.27) | (0.41) | (0.04) | |
| Panel C. Foreign investors | ||||||||
| Low | 0.82 | 1.01 | 1.00 | 0.89 | −0.24 | −1.07 | −1.26 | −1.37 |
| (2.08) | (2.58) | (2.29) | (2.06) | (−0.47) | (−3.89) | (−4.71) | (−5.20) | |
| High | 0.35 | 0.55 | 0.51 | 0.47 | −0.18 | −0.53 | −0.49 | −0.66 |
| (0.90) | (1.43) | (1.20) | (1.04) | (−0.38) | (−1.92) | (−1.58) | (−2.29) | |
| ST quintile | ||||||||
|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | Diff | FF3 | FF4 | |
| Low | 0.38 | 0.38 | 0.39 | 0.43 | 0.22 | −0.16 | −0.07 | −0.20 |
| (0.88) | (1.07) | (0.92) | (0.95) | (0.44) | (−0.55) | (−0.23) | (−0.70) | |
| High | 0.88 | 1.13 | 1.25 | 1.12 | −0.14 | −1.03 | −1.22 | −1.35 |
| (2.36) | (2.91) | (2.62) | (2.64) | (−0.25) | (−3.22) | (−3.89) | (−4.71) | |
| Low | 0.74 | 0.98 | 0.97 | 0.96 | 0.36 | −0.37 | −0.43 | −0.57 |
| (1.85) | (2.47) | (2.42) | (2.15) | (0.70) | (−1.26) | (−1.36) | (−1.94) | |
| High | 0.26 | 0.23 | 0.50 | 0.48 | 0.34 | 0.08 | 0.12 | 0.01 |
| (0.63) | (0.61) | (1.29) | (1.17) | (0.72) | (0.27) | (0.41) | (0.04) | |
| Low | 0.82 | 1.01 | 1.00 | 0.89 | −0.24 | −1.07 | −1.26 | −1.37 |
| (2.08) | (2.58) | (2.29) | (2.06) | (−0.47) | (−3.89) | (−4.71) | (−5.20) | |
| High | 0.35 | 0.55 | 0.51 | 0.47 | −0.18 | −0.53 | −0.49 | −0.66 |
| (0.90) | (1.43) | (1.20) | (1.04) | (−0.38) | (−1.92) | (−1.58) | (−2.29) | |
Note(s): This table examines how the return predictability of the salience measure (ST) varies with investor-type net buying (Netbuy). Netbuy is defined as (buy volume − sell volume) divided by shares outstanding and is expressed as a percentage. Each month, stocks are independently double-sorted into quintiles based on Netbuy and ST. We focus on stocks in the lowest and highest Netbuy quintiles and report the average next-month returns of the ST quintile portfolios (columns 1 to 5). Panels A, B, and C present results separately for individual, institutional, and foreign investors, respectively. The column “Diff” reports the return spread between the highest and lowest ST quintiles (Q5 − Q1) within the bottom and top Netbuy quintiles, capturing the strength of ST-based return predictability conditional on investor trading intensity. Columns “FF3” and “FF4” report the corresponding alphas from the Fama–French three-factor and four-factor models. Newey and West (1987) t-statistics with 12 lags are reported in parentheses. The sample includes all common stocks listed on KOSPI and KOSDAQ from March 2005 to December 2024
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