Data · dataset · 2023
Analysis of volatility spillovers in the stock, currency and goods market and the monetary policy efficiency within different uncertainty states in these markets
Listed in UP Research Data Repository
<p>South African monthly The FTSE/JSE All Share Index data was procured from Bloomberg and the nominal effective exchange rate (NEER) from South African Reserve Bank (SARB) database, where the data has been seasonally adjusted specifying 2015 as the base year.
Description
Volatility measures in these markets are generated through a multivaraite EGARCH model in the WinRATS software. </p> <p>South African monthly consumer price index (CPI) data was procured from the International Monetary Fund’s International Financial Statistics (IFS) database, where the data has been seasonally adjusted, specifying 2010 as the base year.
The inflation rate is constructed by taking the year-on-year changes in the monthly CPI figures. Inflation uncertainty was generated through the GARCH model in Eviews software. </p> <p>The following South African macroeconomic variables were procured from the SARB: real industrial production (IP), which is used as a proxy for real GDP, real investment (I), real consumption (C), inflation (CPI), broad money (M3), the 3-month treasury bill rate (TB3) and the policy rate (R), a measure of U.S. EPU developed by Baker <em>et al.</em> (2016) to account for global developments available at policyuncertainty.com/us_monthly.html.</p>
Links
Where it is published
- DOI doi.org/10.25403/upresearchdata.22187701.v1 ↗
DOI / persistent id · from researchdata up ac za
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from researchdata up ac za
Topics
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| UP Research Data Repository | oai:figshare.com:article/22187701 | 16 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].anzsrc:field:380107 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Financial economics'] |
| concepts[field].anzsrc:field:380202 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Econometric and statistical methods'] |
| concepts[field].anzsrc:field:380205 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Time-series analysis'] |
| concepts[field].anzsrc:field:380302 | mapping · researchdata up ac za | vocabulary-mapper@1.0.0 | keywords['Macroeconomic theory'] |
| concepts[field].local:field:earth-environmental | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| description | source · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | /metadata/dc/description |
| license | source · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| title | source · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | /metadata/dc/title |