Masters of Management in Finance and Investments, University of the Witwatersrand Johannesburg, 2016 / Financial economists have spent a considerable amount of time trying to understand the impact of macroeconomic news announcements on exchange rates, more so evaluating how new information is incorporated into exchange rates. This study examines the impact of macroeconomic news announcements on exchange rate volatility. Unlike most studies that utilise developed market currency pairs, this study utilises high frequency USD/ZAR data. Macroeconomic news can affect exchange rates directly and indirectly through public and private information. However, this study only focuses on scheduled macroeconomic news announcements as they usually have market forecasts available to conduct analysis regarding the asymmetric news effects. The following asymmetries are evaluated into the study: news items by geographical location, no-news vs. surprise news announcements and positive vs. negative news announcements. We make the following findings in our empirical study: (i) After the release of a news announcement, the level of foreign exchange volatility rises. This event is independent of whether the news item surprised the market or not. (ii) We find that both South African and US news items significantly impact USD/ZAR volatility, suggesting that both US and South African news items are being used to formulate investor expectations regarding the future prospects of the currency pair. (iii) Negative news appears to have a greater impact on exchange rate volatility relative to positive news. This result is also state dependent, as investors tend to behave differently to news depending on the economic climate at that point in time. Investor cognitive biases also give rise to the asymmetric news effects on exchange rate volatility. Investors do not always act in rational manner, especially when faced with multiple news items that are contradictory to each other. / XL2018
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:wits/oai:wiredspace.wits.ac.za:10539/23678 |
| Date | January 2016 |
| Creators | Maserumule, Tseke |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | Online resource (viii, 61 pages), application/octet-stream, application/pdf |
Page generated in 0.0021 seconds