{"id":{"repo_id":"cape-town","oai_identifier":"oai:open.uct.ac.za:11427/22915"},"canonical_url":"https://search.dev.ndltd.org/etd/cape-town/oai:open.uct.ac.za:11427/22915","repository":{"repo_id":"cape-town","name":"University of Cape Town","base_url":"https://open.uct.ac.za/oai/request"},"display":{"title":"Predicting corporate turnaround of listed companies in South Africa","abstract":"Corporate turnaround, in comparison to financial distress, is not substantially researched either internationally or locally in South Africa. This study attempts to explore this area of research by developing models that identify financially distressed companies with a potential for turnaround. This analysis examines listed companies on both the JSE Securities Exchange ('JSE') and Alternative Exchange ('AltX') for the period 2007 to 2014 by using available data from iNet BFA. The financial distress model, Taffler's Z-score, is used to identify companies that fall within the sample. Multiple linear discriminant models with interaction variables are used as part of the process to derive the turnaround models. The first model shows that efficiency is a key driver for a successful turnaround. The second model reveals that JSE-listed companies are more likely to survive than AltX companies. This study contributes to the existing research by identifying significant factors for corporate turnaround and summarizing its findings in a practical manner.","abstract_html":"Corporate turnaround, in comparison to financial distress, is not substantially researched either internationally or locally in South Africa. This study attempts to explore this area of research by developing models that identify financially distressed companies with a potential for turnaround. This analysis examines listed companies on both the JSE Securities Exchange ('JSE') and Alternative Exchange ('AltX') for the period 2007 to 2014 by using available data from iNet BFA. The financial distress model, Taffler's Z-score, is used to identify companies that fall within the sample. Multiple linear discriminant models with interaction variables are used as part of the process to derive the turnaround models. The first model shows that efficiency is a key driver for a successful turnaround. The second model reveals that JSE-listed companies are more likely to survive than AltX companies. This study contributes to the existing research by identifying significant factors for corporate turnaround and summarizing its findings in a practical manner.","abstract_has_math":false,"creators":["Chin, Chu-Kuo"],"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":"2026-07-22T22:23:09Z","subjects":[],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11427/22915","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":["Chin, Chu-Kuo"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2017-01-23T07:55:32Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2017-01-23T07:55:32Z"]},{"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/11427/22915"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Corporate turnaround, in comparison to financial distress, is not substantially researched either internationally or locally in South Africa. This study attempts to explore this area of research by developing models that identify financially distressed companies with a potential for turnaround. This analysis examines listed companies on both the JSE Securities Exchange ('JSE') and Alternative Exchange ('AltX') for the period 2007 to 2014 by using available data from iNet BFA. The financial distress model, Taffler's Z-score, is used to identify companies that fall within the sample. Multiple linear discriminant models with interaction variables are used as part of the process to derive the turnaround models. The first model shows that efficiency is a key driver for a successful turnaround. The second model reveals that JSE-listed companies are more likely to survive than AltX companies. 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