CAAR of European defense stocks around Yevgeny Prigozhin coup attempt
| Event window | Excess | CAPM | Four-factor | Six-factor |
|---|---|---|---|---|
| (−10,−1) | −0.71 (−0.66) | −0.68 (−0.65) | −0.75 (−0.74) | −0.74 (−0.72) |
| (−3,−1) | −0.50 (−0.83) | 0.34 (0.60) | 0.32 (0.57) | 0.37 (0.64) |
| (−1,−1) | 0.03 (0.08) | 0.52 (1.58) | 0.57* (1.72) | 0.62* (1.87) |
| (0,0) | −1.14*** (−3.28) | −1.13*** (−3.41) | −1.16*** (−3.53) | −1.17*** (−3.57) |
| (1,1) | 0.22 (0.64) | −0.14 (−0.42) | −0.17 (−0.53) | −0.21 (−0.63) |
| (0,3) | 0.07 (0.10) | −0.34 (−0.51) | −0.48 (−0.73) | −0.54 (−0.82) |
| (0,5) | 0.49 (0.57) | −0.70 (−0.86) | −0.98 (−1.22) | −1.05 (−1.30) |
| (0,10) | −1.11 (−0.97) | −1.49 (−1.35) | −2.00* (−1.83) | −2.02* (−1.85) |
| (0,20) | 1.32 (0.83) | −1.38 (−0.90) | −1.94 (−1.28) | −2.05 (−1.35) |
| Event window | Excess | CAPM | Four-factor | Six-factor |
|---|---|---|---|---|
| (−10,−1) | −0.71 (−0.66) | −0.68 (−0.65) | −0.75 (−0.74) | −0.74 (−0.72) |
| (−3,−1) | −0.50 (−0.83) | 0.34 (0.60) | 0.32 (0.57) | 0.37 (0.64) |
| (−1,−1) | 0.03 (0.08) | 0.52 (1.58) | 0.57 | 0.62 |
| (0,0) | −1.14 | −1.13 | −1.16 | −1.17 |
| (1,1) | 0.22 (0.64) | −0.14 (−0.42) | −0.17 (−0.53) | −0.21 (−0.63) |
| (0,3) | 0.07 (0.10) | −0.34 (−0.51) | −0.48 (−0.73) | −0.54 (−0.82) |
| (0,5) | 0.49 (0.57) | −0.70 (−0.86) | −0.98 (−1.22) | −1.05 (−1.30) |
| (0,10) | −1.11 (−0.97) | −1.49 (−1.35) | −2.00 | −2.02 |
| (0,20) | 1.32 (0.83) | −1.38 (−0.90) | −1.94 (−1.28) | −2.05 (−1.35) |
Notes:
This table presents cumulative average abnormal returns (CAAR) of European defense stocks around the Yevgeny Prigozhin coup attempt that started on June 23, 2023, after European trading hours; The event window (0,0) represents the first trading day after the event; which is June 26, 2023; Abnormal returns are calculated as realized returns minus expected returns; Expected returns are equal to the risk-free rate in the case of excess returns and the expected returns according to factor models in the remaining columns. The CAPM is based on the market factor; the four-factor model contains the three factors of Fama and French (1993) and the momentum factor of Carhart (1997), and the six-factor model contains the five factors of Fama and French (2015) and the momentum factor; The factor exposures of the stocks (betas) are estimated using rolling window time series regressions over the 110 trading days prior to the start of the first event window, where at least 50 trading days of valid data are available; The t-statistics are provided in parentheses; * and ***stands for statistically significant at the 10 and 1% levels of significance; respectively
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