{"id":{"repo_id":"cape-town","oai_identifier":"oai:open.uct.ac.za:11427/24520"},"canonical_url":"https://search.dev.ndltd.org/etd/cape-town/oai:open.uct.ac.za:11427/24520","repository":{"repo_id":"cape-town","name":"University of Cape Town","base_url":"https://open.uct.ac.za/oai/request"},"display":{"title":"Piotroski's F-Score in the Chinese A-Share market","abstract":"This study examines whether Piotroski's (2000) F-Score strategy can successfully be applied to the Chinese A-Share market. The empirical evidence shows that in the Chinese A-Share market, the high F-Score portfolio significantly outperforms the low F-Score portfolio. Especially within a low BM firm sample, buying high F-Score firms and shorting low F-Score firms consistently, on average, generate 1.28% market adjusted profit per month. The results are robust for size partition. However, the benefits of Piotroski's F-Score strategy are concentrated in low liquidity and analyst following sample. Within the high BM firm sample, Piotroski's F-Score strategy cannot generate any significant return. The excess return of a low BM sample persists across time, as well as after controlling for size, book-to-market ratio, and market beta. In addition, if we measure risk in terms of beta and volatility, high F-Score firms are less risky than low F-Score firms. To conclude, the empirical evidence presented in this study suggests investors can use Piotroski's F-Score to identify mispriced stocks and earn abnormal returns in the Chinese A-share market, especially within a low BM firm sample.","abstract_html":"This study examines whether Piotroski's (2000) F-Score strategy can successfully be applied to the Chinese A-Share market. The empirical evidence shows that in the Chinese A-Share market, the high F-Score portfolio significantly outperforms the low F-Score portfolio. Especially within a low BM firm sample, buying high F-Score firms and shorting low F-Score firms consistently, on average, generate 1.28% market adjusted profit per month. The results are robust for size partition. However, the benefits of Piotroski's F-Score strategy are concentrated in low liquidity and analyst following sample. Within the high BM firm sample, Piotroski's F-Score strategy cannot generate any significant return. The excess return of a low BM sample persists across time, as well as after controlling for size, book-to-market ratio, and market beta. In addition, if we measure risk in terms of beta and volatility, high F-Score firms are less risky than low F-Score firms. To conclude, the empirical evidence presented in this study suggests investors can use Piotroski's F-Score to identify mispriced stocks and earn abnormal returns in the Chinese A-share market, especially within a low BM firm sample.","abstract_has_math":false,"creators":["Deng, Xiaoyu"],"institution":"Department of Finance and Tax","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["West, Darron"],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016","date_published":"2016","updated_at":"2026-07-22T22:23:49Z","subjects":[],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11427/24520","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["West, Darron"]},{"key":"dc:creator","label":"Author","values":["Deng, Xiaoyu"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2017-06-06T09:55:19Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2017-06-06T09:55:19Z"]},{"key":"dc:date.issued","label":"Date","values":["2016"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Department of Finance and Tax"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Cape Town"]},{"key":"dc:type","label":"Dc Type","values":["Master Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["Masters"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["MCom"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11427/24520"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["This study examines whether Piotroski's (2000) F-Score strategy can successfully be applied to the Chinese A-Share market. The empirical evidence shows that in the Chinese A-Share market, the high F-Score portfolio significantly outperforms the low F-Score portfolio. Especially within a low BM firm sample, buying high F-Score firms and shorting low F-Score firms consistently, on average, generate 1.28% market adjusted profit per month. The results are robust for size partition. However, the benefits of Piotroski's F-Score strategy are concentrated in low liquidity and analyst following sample. Within the high BM firm sample, Piotroski's F-Score strategy cannot generate any significant return. The excess return of a low BM sample persists across time, as well as after controlling for size, book-to-market ratio, and market beta. In addition, if we measure risk in terms of beta and volatility, high F-Score firms are less risky than low F-Score firms. To conclude, the empirical evidence presented in this study suggests investors can use Piotroski's F-Score to identify mispriced stocks and earn abnormal returns in the Chinese A-share market, especially within a low BM firm sample."]},{"key":"dc:title","label":"Title","values":["Piotroski's F-Score in the Chinese A-Share market"]}]}],"canonical_facts":{"dc:contributor.advisor":["West, Darron"],"dc:creator":["Deng, Xiaoyu"],"dc:date.accessioned":["2017-06-06T09:55:19Z"],"dc:date.available":["2017-06-06T09:55:19Z"],"dc:date.issued":["2016"],"dc:description.abstract":["This study examines whether Piotroski's (2000) F-Score strategy can successfully be applied to the Chinese A-Share market. The empirical evidence shows that in the Chinese A-Share market, the high F-Score portfolio significantly outperforms the low F-Score portfolio. Especially within a low BM firm sample, buying high F-Score firms and shorting low F-Score firms consistently, on average, generate 1.28% market adjusted profit per month. The results are robust for size partition. However, the benefits of Piotroski's F-Score strategy are concentrated in low liquidity and analyst following sample. Within the high BM firm sample, Piotroski's F-Score strategy cannot generate any significant return. The excess return of a low BM sample persists across time, as well as after controlling for size, book-to-market ratio, and market beta. In addition, if we measure risk in terms of beta and volatility, high F-Score firms are less risky than low F-Score firms. To conclude, the empirical evidence presented in this study suggests investors can use Piotroski's F-Score to identify mispriced stocks and earn abnormal returns in the Chinese A-share market, especially within a low BM firm sample."],"dc:identifier.uri":["http://hdl.handle.net/11427/24520"],"dc:language.iso":["eng"],"dc:publisher.department":["Department of Finance and Tax"],"dc:publisher.institution":["University of Cape Town"],"dc:title":["Piotroski's F-Score in the Chinese A-Share market"],"dc:type":["Master Thesis"],"dc:type.qualificationlevel":["Masters"],"dc:type.qualificationname":["MCom"]},"updated_at":"2026-07-22T22:23:49Z"}