Browsing by Author "Chen R"
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- ItemEarnings surprises, investors sentiments and contrarian strategies(EconJournals, 2017) Zou L; Chen R; Ozturk, IThis study documents that contrarian investment strategies offer superior returns because these strategies exploit investors’ expectation errors. There are two sources of expectation errors, naïve extrapolation of past performance and biased analysts’ earnings forecasts. Our results suggest that investors naively extrapolate past performance and overestimate the future growth rates of glamour stocks relative to value stocks. In addition, analysts tend to be excessively pessimistic about value stocks and over optimistic about glamour stocks. We find that both positive earnings surprises and negative earnings surprises significantly affect subsequent returns. However, negative earnings surprises have less impact on value stocks relative to glamour stocks. We also find new evidence that investor sentiments could be an alternative source of superior performances from value stocks. Our results indicate that when the investor sentiment is higher, value stocks earn significant higher returns than glamour stocks.
- ItemGenetic risk impacts the association of menopausal hormone therapy with colorectal cancer risk(Springer Nature Limited, 2024-04-01) Tian Y; Lin Y; Qu C; Arndt V; Baurley JW; Berndt SI; Bien SA; Bishop DT; Brenner H; Buchanan DD; Budiarto A; Campbell PT; Carreras-Torres R; Casey G; Chan AT; Chen R; Chen X; Conti DV; Díez-Obrero V; Dimou N; Drew DA; Figueiredo JC; Gallinger S; Giles GG; Gruber SB; Gunter MJ; Harlid S; Harrison TA; Hidaka A; Hoffmeister M; Huyghe JR; Jenkins MA; Jordahl KM; Joshi AD; Keku TO; Kawaguchi E; Kim AE; Kundaje A; Larsson SC; Marchand LL; Lewinger JP; Li L; Moreno V; Morrison J; Murphy N; Nan H; Nassir R; Newcomb PA; Obón-Santacana M; Ogino S; Ose J; Pardamean B; Pellatt AJ; Peoples AR; Platz EA; Potter JD; Prentice RL; Rennert G; Ruiz-Narvaez EA; Sakoda LC; Schoen RE; Shcherbina A; Stern MC; Su Y-R; Thibodeau SN; Thomas DC; Tsilidis KK; van Duijnhoven FJB; Van Guelpen B; Visvanathan K; White E; Wolk A; Woods MO; Wu AH; Peters U; Gauderman WJ; Hsu L; Chang-Claude JBACKGROUND: Menopausal hormone therapy (MHT), a common treatment to relieve symptoms of menopause, is associated with a lower risk of colorectal cancer (CRC). To inform CRC risk prediction and MHT risk-benefit assessment, we aimed to evaluate the joint association of a polygenic risk score (PRS) for CRC and MHT on CRC risk. METHODS: We used data from 28,486 postmenopausal women (11,519 cases and 16,967 controls) of European descent. A PRS based on 141 CRC-associated genetic variants was modeled as a categorical variable in quartiles. Multiplicative interaction between PRS and MHT use was evaluated using logistic regression. Additive interaction was measured using the relative excess risk due to interaction (RERI). 30-year cumulative risks of CRC for 50-year-old women according to MHT use and PRS were calculated. RESULTS: The reduction in odds ratios by MHT use was larger in women within the highest quartile of PRS compared to that in women within the lowest quartile of PRS (p-value = 2.7 × 10-8). At the highest quartile of PRS, the 30-year CRC risk was statistically significantly lower for women taking any MHT than for women not taking any MHT, 3.7% (3.3%-4.0%) vs 6.1% (5.7%-6.5%) (difference 2.4%, P-value = 1.83 × 10-14); these differences were also statistically significant but smaller in magnitude in the lowest PRS quartile, 1.6% (1.4%-1.8%) vs 2.2% (1.9%-2.4%) (difference 0.6%, P-value = 1.01 × 10-3), indicating 4 times greater reduction in absolute risk associated with any MHT use in the highest compared to the lowest quartile of genetic CRC risk. CONCLUSIONS: MHT use has a greater impact on the reduction of CRC risk for women at higher genetic risk. These findings have implications for the development of risk prediction models for CRC and potentially for the consideration of genetic information in the risk-benefit assessment of MHT use.