{"title":"是市场对通货膨胀的影响,而不是相反","authors":"Carlos de Jesus, G. Willows, A. M. Olivier","doi":"10.1080/10293523.2020.1742999","DOIUrl":null,"url":null,"abstract":"ABSTRACT The study of return prediction is fundamental to investors. However, inconclusive evidence exists as to whether returns on the South African (SA) stock market may be explained by movements in SA or international macroeconomic variables. This study investigates integration between macroeconomic variables and the JSE ALSI. Using a monthly dataset from 1995–2016, the study is able to update the determination of integration relationships and reduce the ‘noise’ prevalent in prior research. Unit root, correlation, integration, causality and a vector error correction model were applied. The study identified that the ALSI was statistically significant in explaining SA inflation. The direction and significance of this relationship is of interest to investors and financial economists. If the ALSI has a predictive relationship with inflation, then market performance could impact the decisions made to raise or drop the Repo rate. In addition to the determination of the integration relationships, this study informs researchers on the efficiency and predictability of the SA market.","PeriodicalId":44496,"journal":{"name":"Investment Analysts Journal","volume":"49 1","pages":"79 - 91"},"PeriodicalIF":1.2000,"publicationDate":"2020-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/10293523.2020.1742999","citationCount":"2","resultStr":"{\"title\":\"The influence of the market on inflation, not the other way around\",\"authors\":\"Carlos de Jesus, G. Willows, A. M. Olivier\",\"doi\":\"10.1080/10293523.2020.1742999\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT The study of return prediction is fundamental to investors. However, inconclusive evidence exists as to whether returns on the South African (SA) stock market may be explained by movements in SA or international macroeconomic variables. This study investigates integration between macroeconomic variables and the JSE ALSI. Using a monthly dataset from 1995–2016, the study is able to update the determination of integration relationships and reduce the ‘noise’ prevalent in prior research. Unit root, correlation, integration, causality and a vector error correction model were applied. The study identified that the ALSI was statistically significant in explaining SA inflation. The direction and significance of this relationship is of interest to investors and financial economists. If the ALSI has a predictive relationship with inflation, then market performance could impact the decisions made to raise or drop the Repo rate. In addition to the determination of the integration relationships, this study informs researchers on the efficiency and predictability of the SA market.\",\"PeriodicalId\":44496,\"journal\":{\"name\":\"Investment Analysts Journal\",\"volume\":\"49 1\",\"pages\":\"79 - 91\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2020-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1080/10293523.2020.1742999\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Investment Analysts Journal\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1080/10293523.2020.1742999\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Investment Analysts Journal","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1080/10293523.2020.1742999","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
The influence of the market on inflation, not the other way around
ABSTRACT The study of return prediction is fundamental to investors. However, inconclusive evidence exists as to whether returns on the South African (SA) stock market may be explained by movements in SA or international macroeconomic variables. This study investigates integration between macroeconomic variables and the JSE ALSI. Using a monthly dataset from 1995–2016, the study is able to update the determination of integration relationships and reduce the ‘noise’ prevalent in prior research. Unit root, correlation, integration, causality and a vector error correction model were applied. The study identified that the ALSI was statistically significant in explaining SA inflation. The direction and significance of this relationship is of interest to investors and financial economists. If the ALSI has a predictive relationship with inflation, then market performance could impact the decisions made to raise or drop the Repo rate. In addition to the determination of the integration relationships, this study informs researchers on the efficiency and predictability of the SA market.
期刊介绍:
The Investment Analysts Journal is an international, peer-reviewed journal, publishing high-quality, original research three times a year. The journal publishes significant new research in finance and investments and seeks to establish a balance between theoretical and empirical studies. Papers written in any areas of finance, investment, accounting and economics will be considered for publication. All contributions are welcome but are subject to an objective selection procedure to ensure that published articles answer the criteria of scientific objectivity, importance and replicability. Readability and good writing style are important. No articles which have been published or are under review elsewhere will be considered. All submitted manuscripts are subject to initial appraisal by the Editor, and, if found suitable for further consideration, to peer review by independent, anonymous expert referees. All peer review is double blind and submission is via email. Accepted papers will then pass through originality checking software. The editors reserve the right to make the final decision with respect to publication.