3 datasets found
  1. u

    Analysis of volatility spillovers in the stock, currency and goods market...

    • researchdata.up.ac.za
    xlsx
    Updated May 31, 2023
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    Chevaughn van der Westhuizen; Reneé van Eyden; Goodness C. Aye (2023). Analysis of volatility spillovers in the stock, currency and goods market and the monetary policy efficiency within different uncertainty states in these markets [Dataset]. http://doi.org/10.25403/UPresearchdata.22187701.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    University of Pretoria
    Authors
    Chevaughn van der Westhuizen; Reneé van Eyden; Goodness C. Aye
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    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. Volatility measures in these markets are generated through a multivaraite EGARCH model in the WinRATS software. 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. 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 et al. (2016) to account for global developments available at http://www.policyuncertainty.com/us_monthly.html.

  2. F

    5-Year Breakeven Inflation Rate

    • fred.stlouisfed.org
    json
    Updated Jul 22, 2025
    + more versions
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    (2025). 5-Year Breakeven Inflation Rate [Dataset]. https://fred.stlouisfed.org/series/T5YIE
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 22, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for 5-Year Breakeven Inflation Rate (T5YIE) from 2003-01-02 to 2025-07-22 about spread, interest rate, interest, 5-year, inflation, rate, and USA.

  3. T

    Italy Consumer Price Index (CPI)

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Aug 18, 2015
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    TRADING ECONOMICS (2015). Italy Consumer Price Index (CPI) [Dataset]. https://tradingeconomics.com/italy/consumer-price-index-cpi
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Aug 18, 2015
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 31, 1957 - Jun 30, 2025
    Area covered
    Italy
    Description

    Consumer Price Index CPI in Italy remained unchanged at 122.60 points in May. This dataset provides the latest reported value for - Italy Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Chevaughn van der Westhuizen; Reneé van Eyden; Goodness C. Aye (2023). Analysis of volatility spillovers in the stock, currency and goods market and the monetary policy efficiency within different uncertainty states in these markets [Dataset]. http://doi.org/10.25403/UPresearchdata.22187701.v1

Analysis of volatility spillovers in the stock, currency and goods market and the monetary policy efficiency within different uncertainty states in these markets

Related Article
Explore at:
xlsxAvailable download formats
Dataset updated
May 31, 2023
Dataset provided by
University of Pretoria
Authors
Chevaughn van der Westhuizen; Reneé van Eyden; Goodness C. Aye
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

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. Volatility measures in these markets are generated through a multivaraite EGARCH model in the WinRATS software. 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. 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 et al. (2016) to account for global developments available at http://www.policyuncertainty.com/us_monthly.html.

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