{"id":{"repo_id":"cape-town","oai_identifier":"oai:open.uct.ac.za:11427/40149"},"canonical_url":"https://search.dev.ndltd.org/etd/cape-town/oai:open.uct.ac.za:11427/40149","repository":{"repo_id":"cape-town","name":"University of Cape Town","base_url":"https://open.uct.ac.za/oai/request"},"display":{"title":"Modelling the long-and-short run dynamics of share price movements in the resource sector","abstract":"[page 49 missing] This paper involves the development and estimation of various statistical models that possess significant explanatory power in predicting future returns of resource shares. Models were constructed for IMPLATS, HARMONY, GOLDFIELDS, SASOL and SAPP!. Significant long-term relationships were found between company share price, earnings per share, dividends per share, commodity price and interest rates. The technique of co-integration permits these non-stationary economic variables to be linked by a stable long-term equilibrium relationship. For each co-integrating relationship an error correction model is developed to correct for short-term disequilibrium. The relationship between co-integration and error correction models is further extended to forecast future returns of share prices. A one-month rolling window forecasting method was implemented to forecast future returns of shares over one, two and three months respectively. Findings suggest that these results could be of considerable significance when making bets on a diversified portfolio of investments.","abstract_html":"[page 49 missing] This paper involves the development and estimation of various statistical models that possess significant explanatory power in predicting future returns of resource shares. Models were constructed for IMPLATS, HARMONY, GOLDFIELDS, SASOL and SAPP!. Significant long-term relationships were found between company share price, earnings per share, dividends per share, commodity price and interest rates. The technique of co-integration permits these non-stationary economic variables to be linked by a stable long-term equilibrium relationship. For each co-integrating relationship an error correction model is developed to correct for short-term disequilibrium. The relationship between co-integration and error correction models is further extended to forecast future returns of share prices. A one-month rolling window forecasting method was implemented to forecast future returns of shares over one, two and three months respectively. Findings suggest that these results could be of considerable significance when making bets on a diversified portfolio of investments.","abstract_has_math":false,"creators":["Davids, Megan"],"institution":"School of Economics","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["van Rensburg, Paul"],"committee_chairs":[],"committee_members":[],"year":2005,"date_issued":"2005","date_published":"2005","updated_at":"2026-07-22T22:23:35Z","subjects":["Economics"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11427/40149","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["van Rensburg, Paul"]},{"key":"dc:creator","label":"Author","values":["Davids, Megan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2024-07-02T10:03:23Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2024-07-02T10:03:23Z"]},{"key":"dc:date.issued","label":"Date","values":["2005"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["School of Economics"]},{"key":"dc:type","label":"Dc Type","values":["Thesis / Dissertation"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["Masters","MSc"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Economics"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11427/40149"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["[page 49 missing] This paper involves the development and estimation of various statistical models that possess significant explanatory power in predicting future returns of resource shares. Models were constructed for IMPLATS, HARMONY, GOLDFIELDS, SASOL and SAPP!. Significant long-term relationships were found between company share price, earnings per share, dividends per share, commodity price and interest rates. The technique of co-integration permits these non-stationary economic variables to be linked by a stable long-term equilibrium relationship. For each co-integrating relationship an error correction model is developed to correct for short-term disequilibrium. The relationship between co-integration and error correction models is further extended to forecast future returns of share prices. A one-month rolling window forecasting method was implemented to forecast future returns of shares over one, two and three months respectively. Findings suggest that these results could be of considerable significance when making bets on a diversified portfolio of investments."]},{"key":"dc:title","label":"Title","values":["Modelling the long-and-short run dynamics of share price movements in the resource sector"]}]}],"canonical_facts":{"dc:contributor.advisor":["van Rensburg, Paul"],"dc:creator":["Davids, Megan"],"dc:date.accessioned":["2024-07-02T10:03:23Z"],"dc:date.available":["2024-07-02T10:03:23Z"],"dc:date.issued":["2005"],"dc:description.abstract":["[page 49 missing] This paper involves the development and estimation of various statistical models that possess significant explanatory power in predicting future returns of resource shares. Models were constructed for IMPLATS, HARMONY, GOLDFIELDS, SASOL and SAPP!. Significant long-term relationships were found between company share price, earnings per share, dividends per share, commodity price and interest rates. The technique of co-integration permits these non-stationary economic variables to be linked by a stable long-term equilibrium relationship. For each co-integrating relationship an error correction model is developed to correct for short-term disequilibrium. The relationship between co-integration and error correction models is further extended to forecast future returns of share prices. A one-month rolling window forecasting method was implemented to forecast future returns of shares over one, two and three months respectively. Findings suggest that these results could be of considerable significance when making bets on a diversified portfolio of investments."],"dc:identifier.uri":["http://hdl.handle.net/11427/40149"],"dc:publisher.department":["School of Economics"],"dc:subject":["Economics"],"dc:title":["Modelling the long-and-short run dynamics of share price movements in the resource sector"],"dc:type":["Thesis / Dissertation"],"dc:type.qualificationlevel":["Masters","MSc"]},"updated_at":"2026-07-22T22:23:35Z"}