{"title":"动态系统风险和条件贝塔下的投资组合绩效:南非单位信托市场","authors":"Bwalya Kalima, T. Gopane","doi":"10.22394/1993-7601-2022-66-85-98","DOIUrl":null,"url":null,"abstract":"This study examines whether South African unit trust managers can outperform the market and demonstrate distinct market-timing abilities under systematic dynamic risk. A conditional portfolio evaluation method is used under dynamic systematic risk. The BEKK-MGARCH model is applied to estimate the time-varying CAPM beta. The sample of the study includes 86 unit trust funds for the hardly studied multi-asset class between 2010 and 2019 in South Africa. The findings of the study show positive evidence that portfolio managers in the South African unit trust market possess some skills for market timing and outperformance. These results differ from most of the outcomes obtained through model-free performance-evaluation methods. The significant contribution of this study to the literature is in conditioning beta to both time and economic variables within the same asset pricing model, and then applying it to the emerging market of South Africa. Another strength of this paper is maintaining patient and formal adherence to econometric requirements of model validation. The empirical findings of the study should benefit portfolio managers, investors, and regulators with updated insight into the importance of considering both risk variability and changing economic factors in portfolio evaluation.","PeriodicalId":8045,"journal":{"name":"Applied Econometrics","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Portfolio performance under dynamic systematic risk and conditional betas: the South African unit trust market\",\"authors\":\"Bwalya Kalima, T. Gopane\",\"doi\":\"10.22394/1993-7601-2022-66-85-98\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study examines whether South African unit trust managers can outperform the market and demonstrate distinct market-timing abilities under systematic dynamic risk. A conditional portfolio evaluation method is used under dynamic systematic risk. The BEKK-MGARCH model is applied to estimate the time-varying CAPM beta. The sample of the study includes 86 unit trust funds for the hardly studied multi-asset class between 2010 and 2019 in South Africa. The findings of the study show positive evidence that portfolio managers in the South African unit trust market possess some skills for market timing and outperformance. These results differ from most of the outcomes obtained through model-free performance-evaluation methods. The significant contribution of this study to the literature is in conditioning beta to both time and economic variables within the same asset pricing model, and then applying it to the emerging market of South Africa. Another strength of this paper is maintaining patient and formal adherence to econometric requirements of model validation. The empirical findings of the study should benefit portfolio managers, investors, and regulators with updated insight into the importance of considering both risk variability and changing economic factors in portfolio evaluation.\",\"PeriodicalId\":8045,\"journal\":{\"name\":\"Applied Econometrics\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Econometrics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22394/1993-7601-2022-66-85-98\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Economics, Econometrics and Finance\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Econometrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22394/1993-7601-2022-66-85-98","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
Portfolio performance under dynamic systematic risk and conditional betas: the South African unit trust market
This study examines whether South African unit trust managers can outperform the market and demonstrate distinct market-timing abilities under systematic dynamic risk. A conditional portfolio evaluation method is used under dynamic systematic risk. The BEKK-MGARCH model is applied to estimate the time-varying CAPM beta. The sample of the study includes 86 unit trust funds for the hardly studied multi-asset class between 2010 and 2019 in South Africa. The findings of the study show positive evidence that portfolio managers in the South African unit trust market possess some skills for market timing and outperformance. These results differ from most of the outcomes obtained through model-free performance-evaluation methods. The significant contribution of this study to the literature is in conditioning beta to both time and economic variables within the same asset pricing model, and then applying it to the emerging market of South Africa. Another strength of this paper is maintaining patient and formal adherence to econometric requirements of model validation. The empirical findings of the study should benefit portfolio managers, investors, and regulators with updated insight into the importance of considering both risk variability and changing economic factors in portfolio evaluation.
Applied EconometricsEconomics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
0.70
自引率
0.00%
发文量
0
期刊介绍:
The Journal of Applied Econometrics is an international journal published bi-monthly, plus 1 additional issue (total 7 issues). It aims to publish articles of high quality dealing with the application of existing as well as new econometric techniques to a wide variety of problems in economics and related subjects, covering topics in measurement, estimation, testing, forecasting, and policy analysis. The emphasis is on the careful and rigorous application of econometric techniques and the appropriate interpretation of the results. The economic content of the articles is stressed. A special feature of the Journal is its emphasis on the replicability of results by other researchers. To achieve this aim, authors are expected to make available a complete set of the data used as well as any specialised computer programs employed through a readily accessible medium, preferably in a machine-readable form. The use of microcomputers in applied research and transferability of data is emphasised. The Journal also features occasional sections of short papers re-evaluating previously published papers. The intention of the Journal of Applied Econometrics is to provide an outlet for innovative, quantitative research in economics which cuts across areas of specialisation, involves transferable techniques, and is easily replicable by other researchers. Contributions that introduce statistical methods that are applicable to a variety of economic problems are actively encouraged. The Journal also aims to publish review and survey articles that make recent developments in the field of theoretical and applied econometrics more readily accessible to applied economists in general.