25 datasets found
  1. South Africa ZA: Real Interest Rate

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). South Africa ZA: Real Interest Rate [Dataset]. https://www.ceicdata.com/en/south-africa/interest-rates/za-real-interest-rate
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    South Africa
    Variables measured
    Money Market Rate
    Description

    South Africa ZA: Real Interest Rate data was reported at 4.584 % pa in 2017. This records an increase from the previous number of 3.451 % pa for 2016. South Africa ZA: Real Interest Rate data is updated yearly, averaging 3.728 % pa from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 13.012 % pa in 1998 and a record low of -12.315 % pa in 1980. South Africa ZA: Real Interest Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank.WDI: Interest Rates. Real interest rate is the lending interest rate adjusted for inflation as measured by the GDP deflator. The terms and conditions attached to lending rates differ by country, however, limiting their comparability.; ; International Monetary Fund, International Financial Statistics and data files using World Bank data on the GDP deflator.; ;

  2. T

    South Africa Interest Rate

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 20, 2025
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    TRADING ECONOMICS (2025). South Africa Interest Rate [Dataset]. https://tradingeconomics.com/south-africa/interest-rate
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    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Mar 20, 2025
    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
    Mar 9, 1998 - Jul 31, 2025
    Area covered
    South Africa
    Description

    The benchmark interest rate in South Africa was last recorded at 7 percent. This dataset provides - South Africa Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  3. T

    South Africa Inflation Rate

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 23, 2025
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    TRADING ECONOMICS (2025). South Africa Inflation Rate [Dataset]. https://tradingeconomics.com/south-africa/inflation-cpi
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    json, xml, excel, csvAvailable download formats
    Dataset updated
    Jul 23, 2025
    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
    Jul 31, 1968 - Jun 30, 2025
    Area covered
    South Africa
    Description

    Inflation Rate in South Africa increased to 3 percent in June from 2.80 percent in May of 2025. This dataset provides - South Africa Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. Inflation rate in South Africa 2029

    • statista.com
    Updated May 15, 2025
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    Statista (2025). Inflation rate in South Africa 2029 [Dataset]. https://www.statista.com/statistics/370515/inflation-rate-in-south-africa/
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    Dataset updated
    May 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    South Africa
    Description

    South Africa’s inflation has been quite stable for the past years, levelling off between 3.2 and 6.9 percent, and is in fact expected to stabilize at around 4.5 percent in the future. South Africa is a mixed economy, generating most of its GDP through the services sector, especially tourism. However, the country struggles with unemployment and poverty.

    Inflation who?

    The inflation rate of a country is an important key factor to determine the country’s economic strength. It is calculated using the price increase of a defined product basket, containing goods and services on which the average consumer spends money throughout the year. They include, for example, expenses for groceries, clothes, rent, utilities, but also recreational activities, and raw materials (e.g. gas, oil), as well as federal fees and taxes. Some of these goods are more volatile than others – food prices, for example, are considered less reliable. The European Central Bank aims to keep inflation at around two percent in the long run.

    What happened in 2016?

    In 2016, South Africa’s inflation rate peaked at over 6.3 percent, and gross domestic product, and thus economic growth , took a hit, a sure indicator that something was affecting the country’s economic scaffolding: Low growth due to weak demand and an uncertain political future caused a crisis; then-President Jacob Zuma’s alleged mismanagement and unstable reign steeped in controversy and criminal charges even caused the economy’s outlook to be downgraded by ratings agencies. Zuma was relieved of his office in 2018 – ever since, inflation, GDP, and economic growth seem to have stabilized.

  5. T

    INTEREST RATE by Country in AFRICA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 31, 2025
    + more versions
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    TRADING ECONOMICS (2025). INTEREST RATE by Country in AFRICA [Dataset]. https://tradingeconomics.com/country-list/interest-rate?continent=africa
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    json, xml, csv, excelAvailable download formats
    Dataset updated
    Jul 31, 2025
    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
    2025
    Area covered
    Africa
    Description

    This dataset provides values for INTEREST RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  6. u

    Key South African Macro-economic variables data

    • zivahub.uct.ac.za
    xlsx
    Updated Jan 28, 2019
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    Alison Olivier (2019). Key South African Macro-economic variables data [Dataset]. http://doi.org/10.25375/uct.7553534.v1
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    xlsxAvailable download formats
    Dataset updated
    Jan 28, 2019
    Dataset provided by
    University of Cape Town
    Authors
    Alison Olivier
    License

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

    Description

    A monthly and quarterly data set spanning July 1995 to December 2016 of the following macro-economic variables 1. South African stock market 2. South African GDP3. United States GDP 4. South African interest rate 5. US interest rate 6. South African inflation rate 7. US inflation rate 8. South African Money Supply 9. Rand/Dollar Exchange 10. FTSE

  7. Impact of COVID-19 on projected inflation in South Africa 2020-2021

    • statista.com
    Updated Jul 11, 2025
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    Impact of COVID-19 on projected inflation in South Africa 2020-2021 [Dataset]. https://www.statista.com/statistics/1169847/impact-of-covid-19-on-projected-inflation-in-south-africa/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2020
    Area covered
    South Africa
    Description

    As of June 2020, the projected inflation rate in South Africa for the same year was revised to *** percent, after the fallout of the coronavirus outbreak. The projection was done under the assumption of a worst-case scenario, where the pandemic persists to the end of 2020. Before the occurrence of COVID-19, the inflation rate was expected at *** percent.

    On the other hand, the inflation rate for 2021 was reviewed to *** percent, in a worst-case scenario, whereas the previous outlook (before the pandemic) was at five percent.

  8. T

    INFLATION RATE by Country in AFRICA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 30, 2017
    + more versions
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    TRADING ECONOMICS (2017). INFLATION RATE by Country in AFRICA [Dataset]. https://tradingeconomics.com/country-list/inflation-rate?continent=africa
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    xml, excel, json, csvAvailable download formats
    Dataset updated
    May 30, 2017
    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
    2025
    Area covered
    Africa
    Description

    This dataset provides values for INFLATION RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  9. f

    Variance decompositions.

    • plos.figshare.com
    xls
    Updated Aug 28, 2024
    + more versions
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    Farah Waheed; Abdul Rashid; Asma Basit; Lubna Maroof (2024). Variance decompositions. [Dataset]. http://doi.org/10.1371/journal.pone.0307436.t005
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    xlsAvailable download formats
    Dataset updated
    Aug 28, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Farah Waheed; Abdul Rashid; Asma Basit; Lubna Maroof
    License

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

    Description

    This study estimates the monetary policy reaction function (MPRF) in a Dynamic Stochastic General Equilibrium (DSGE) framework using Bayesian analysis for the emerging economies. DSGE models are suitable for the policy analysis because of their simplicity and prominent role of forward-looking variables. This is a pioneer study investigating the combined effects of credit spreads, fiscal imbalances, and monetary autonomy on interest rates for BRICS member countries. Using real data for the period 1970–2021, the posterior estimates confirm that both credit spread and fiscal imbalance significantly contribute to fluctuations in output, inflation, and interest rates in all the sample economies. The estimates show that fluctuations in the inflation rate are due to supply shocks. The empirical estimates also reveal that fiscal imbalances shock significantly affect output in Brazil, India, and South Africa, whereas, based on real data inflation and interest rate are significantly affected by fiscal imbalance shocks in China and South Africa. Yet, the findings suggest that the effects of various shocks on output and interest rates vary across countries.

  10. Inflation rate in the BRICS countries 2000-2030

    • statista.com
    • ai-chatbox.pro
    Updated May 28, 2025
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    Statista (2025). Inflation rate in the BRICS countries 2000-2030 [Dataset]. https://www.statista.com/statistics/741754/inflation-rate-in-the-bric-countries/
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    Dataset updated
    May 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India, Russia
    Description

    Since 2000, China has generally had the most stable inflation rate of the BRICS bloc, with annual change fluctuating between negative one and six percent. In contrast, Russia's inflation rates reached the highest levels in the past two decades, particularly in the early 2000s, during the financial crisis of 2008, and after 2014 when its economy was affected by the drop in international oil prices and the sanctions imposed for the annexation of Crimea.

  11. e

    New methods for forecasting inflation and its sub-components: Applications...

    • b2find.eudat.eu
    Updated May 8, 2023
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    (2023). New methods for forecasting inflation and its sub-components: Applications to the UK, USA and South Africa - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/46dd3e2e-0488-5f01-9585-66686e20b244
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    Dataset updated
    May 8, 2023
    Area covered
    United Kingdom, United States, South Africa
    Description

    The aim is to forecast the chief components of inflation (such as changes in fuel prices, food prices and prices of durable goods) for the USA, UK and South Africa, and to test whether the weighted sum of the component forecasts gives a more accurate overall forecast for inflation, than simply forecasting overall inflation itself. In the long run, the ratios of these prices to the overall consumer price index have altered because of technological changes and globalization, among other factors. For example, the prices of internationally traded consumer goods have fallen relative to prices of services. By building separate models for the components, the long-run information in the data and specific economic features likely to drive each component can be exploited. These models will test for asymmetries, such as the tendency of petrol prices to respond faster to rises than to falls in oil prices. The models should help better understand the causes of overall inflation through understanding the inflation trends of the underlying sectors. Modelling the components separately should also highlight where interest rate policy could be effective, and where other policies such as competition policy or price regulation might have complementary benefits.

  12. H

    Monetary Policy Shocks and Macroeconomic Variables: Evidence from Fast...

    • dataverse.harvard.edu
    Updated Dec 13, 2013
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    Mehmet Ivrendi; Zekeriya Yildirim (2013). Monetary Policy Shocks and Macroeconomic Variables: Evidence from Fast Growing Emerging Economies [Dataset] [Dataset]. http://doi.org/10.7910/DVN/23957
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 13, 2013
    Dataset provided by
    Harvard Dataverse
    Authors
    Mehmet Ivrendi; Zekeriya Yildirim
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Time period covered
    1995 - 2012
    Area covered
    South Africa, Brazil, Russia, India, China, Turkey
    Description

    This paper investigates both the effects of domestic monetary policy and external shocks on fundamental macroeconomic variables in six fast growing emerging economies: Brazil, Russia, India, China, South Africa and Turkey—denoted hereafter as BRICS_T. The authors adopt a structural VAR model with a block exogeneity procedure to identify domestic monetary policy shocks and external shocks. Their research reveals that a contractionary monetary policy in most countries appreciates the domestic currency, increases interest rates, effectively controls inflation rates and reduces output. They do not find any evidence of the price, output, exchange rates and trade puzzles that are usually found in VAR studies. Their findings imply that the exchange rate is the main transmission mechanism in BRICS_T economies. The authors also find that that there are inverse J-curves in five of the six fast growing emerging economies and there are deviations from UIP (Uncovered Interest Parity) in response to a contractionary monetary policy in those countries. Moreover, world output shocks are not a dominant source of fluctuations in those economies.

  13. f

    Impulse responses to different shocks for the emerging countries.

    • plos.figshare.com
    zip
    Updated Aug 28, 2024
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    Farah Waheed; Abdul Rashid; Asma Basit; Lubna Maroof (2024). Impulse responses to different shocks for the emerging countries. [Dataset]. http://doi.org/10.1371/journal.pone.0307436.s002
    Explore at:
    zipAvailable download formats
    Dataset updated
    Aug 28, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Farah Waheed; Abdul Rashid; Asma Basit; Lubna Maroof
    License

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

    Description

    Impulse responses to different shocks for the emerging countries.

  14. A

    Afrique du Sud Real interest rate - données, graphique |...

    • fr.theglobaleconomy.com
    csv, excel, xml
    Updated Oct 13, 2022
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    Globalen LLC (2022). Afrique du Sud Real interest rate - données, graphique | TheGlobalEconomy.com [Dataset]. fr.theglobaleconomy.com/South-Africa/Real_interest_rate/
    Explore at:
    excel, xml, csvAvailable download formats
    Dataset updated
    Oct 13, 2022
    Dataset authored and provided by
    Globalen LLC
    License

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

    Time period covered
    Dec 31, 1961 - Dec 31, 2023
    Area covered
    Afrique du Sud
    Description

    Afrique du Sud: Real interest rate: Bank lending rate minus inflation: Pour cet indicateur, The International Monetary Fund fournit des données pour la Afrique du Sud de 1961 à 2023. La valeur moyenne pour Afrique du Sud pendant cette période était de 3.33 pour cent avec un minimum de -11.01 pour cent en 1980 et un maximum de 12.69 pour cent en 1998.

  15. Projected real GDP growth rate in Africa 2020-2024, by region

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Projected real GDP growth rate in Africa 2020-2024, by region [Dataset]. https://www.statista.com/statistics/1222789/projected-real-gdp-growth-rate-in-africa-by-region/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Africa
    Description

    In 2024, projections show that ***** out of the **** African regions will have an increased growth margin as a share of Gross Domestic Product (GDP) compared to 2023, showing hope for economic recovery post-COVID-19 restrictions. In 2023, the region of East Africa is projected to have the highest share of GDP growth in Africa. It will have an estimated **** percent growth rate. Furthermore, compared to the 2022 projections, 2023 showed decreased growth rate, with the exception of West Africa. However, the growth rate may now be decreasing in 2023 compared to 2022 projections due to a number of factors, including a decrease in government stimulus, ongoing uncertainty related to the pandemic, and the potential for economic headwinds such as rising inflation and interest rates. In 2021, Africa's economy was projected to recover following the impact of the pandemic, with the regional real GDPs growing significantly. In 2020, Southern Africa registered the sharpest decline in GDP growth rate in the continent, at **** percent. Southern and Central Africa were the regions that suffered the most in that year, due to the coronavirus (COVID-19) pandemic's impacts on economic growth in Africa.

  16. f

    Priors and posteriors distributions–Exogenous processes.

    • plos.figshare.com
    xls
    Updated Aug 28, 2024
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    Farah Waheed; Abdul Rashid; Asma Basit; Lubna Maroof (2024). Priors and posteriors distributions–Exogenous processes. [Dataset]. http://doi.org/10.1371/journal.pone.0307436.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Aug 28, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Farah Waheed; Abdul Rashid; Asma Basit; Lubna Maroof
    License

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

    Description

    Priors and posteriors distributions–Exogenous processes.

  17. T

    South Africa Unemployment Rate

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated May 13, 2025
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    TRADING ECONOMICS (2025). South Africa Unemployment Rate [Dataset]. https://tradingeconomics.com/south-africa/unemployment-rate
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    May 13, 2025
    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
    Sep 30, 2000 - Mar 31, 2025
    Area covered
    South Africa
    Description

    Unemployment Rate in South Africa increased to 32.90 percent in the first quarter of 2025 from 31.90 percent in the fourth quarter of 2024. This dataset provides - South Africa Unemployment Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  18. f

    Priors and posteriors distributions–Structural parameters.

    • plos.figshare.com
    xls
    Updated Aug 28, 2024
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    Farah Waheed; Abdul Rashid; Asma Basit; Lubna Maroof (2024). Priors and posteriors distributions–Structural parameters. [Dataset]. http://doi.org/10.1371/journal.pone.0307436.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Aug 28, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Farah Waheed; Abdul Rashid; Asma Basit; Lubna Maroof
    License

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

    Description

    Priors and posteriors distributions–Structural parameters.

  19. o

    Regional Heterogeneity in Debt-Governance Dynamics in Sub-Saharan Africa: A...

    • openicpsr.org
    Updated Jul 3, 2025
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    David Samuel (2025). Regional Heterogeneity in Debt-Governance Dynamics in Sub-Saharan Africa: A Comparative Analysis of East, South and West Africa's Sustainable Development Pathways [Dataset]. http://doi.org/10.3886/E235102V1
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    Dataset updated
    Jul 3, 2025
    Dataset provided by
    Trinity University, Lagos
    Authors
    David Samuel
    License

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

    Time period covered
    1996 - 2023
    Area covered
    Sub-Saharan Africa, Africa
    Description

    This study examines the individual and joint effects of public debt and institutional quality on sustainable development across Sub-Saharan Africa, disaggregating the analysis into East, West, and Southern Africa. Employing panel system Generalized Method of Moments (GMM) estimations from 1996–2023, the research incorporates regional interaction terms and control variables such as inflation, exchange rates, interest rates, and investment indicators. Results reveal that while public debt can promote development under favourable institutional conditions, its effectiveness varies significantly across regions. Strong institutions amplify debt’s developmental benefits, particularly in East and West Africa, whereas weak governance in Southern Africa diminishes these gains. Interaction models demonstrate that institutional quality mediates and conditions debt outcomes, while robustness checks using panel ARDL ECM models confirm cointegrating relationships and the long-run relevance of institutional capacity. The study underscores the importance of region-specific governance reforms in enhancing the productivity of public debt and achieving sustainable development.

  20. Foreign Exchange Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    Updated Dec 15, 2024
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    Technavio (2024). Foreign Exchange Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (Germany, Switzerland, UK), Middle East and Africa (UAE), APAC (China, India, Japan), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/foreign-exchange-market-industry-analysis
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    Dataset updated
    Dec 15, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, United States
    Description

    Snapshot img

    Foreign Exchange Market Size 2025-2029

    The foreign exchange market size is forecast to increase by USD 582 billion, at a CAGR of 10.6% between 2024 and 2029.

    The Foreign Exchange Market is segmented by type (reporting dealers, financial institutions, non-financial customers), trade finance instruments (currency swaps, outright forward and FX swaps, FX options), trading platforms (electronic trading, over-the-counter (OTC), mobile trading), and geography (North America: US, Canada; Europe: Germany, Switzerland, UK; Middle East and Africa: UAE; APAC: China, India, Japan; South America: Brazil; Rest of World). This segmentation reflects the market's global dynamics, driven by institutional trading, increasing digital adoption through electronic trading and mobile trading, and regional economic activities, with APAC markets like India and China showing significant growth alongside traditional hubs like the US and UK.
    The market is experiencing significant shifts driven by the escalating trends of urbanization and digitalization. These forces are creating 24x7 trading opportunities, enabling greater accessibility and convenience for market participants. However, the market's dynamics are not without challenges. The uncertainty of future exchange rates poses a formidable obstacle for businesses and investors alike, necessitating robust risk management strategies. As urbanization continues to expand and digital technologies reshape the trading landscape, market players must adapt to remain competitive. One significant trend is the increasing use of money transfer agencies, venture capital investments, and mutual funds in foreign exchange transactions. Companies seeking to capitalize on these opportunities must navigate the challenges effectively, ensuring they stay abreast of exchange rate fluctuations and implement agile strategies to mitigate risk.
    The ability to adapt and respond to these market shifts will be crucial for success in the evolving market.
    

    What will be the Size of the Foreign Exchange Market during the forecast period?

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    In the dynamic and intricate realm of the market, entities such as algorithmic trading, order book, order management systems, and liquidity risk intertwine, shaping the ever-evolving market landscape. The market's continuous unfolding is characterized by the integration of various components, including sentiment analysis, Fibonacci retracement, mobile trading, and good-for-the-day orders. Market activities are influenced by factors like political stability, monetary policy, and market liquidity, which in turn impact economic growth and trade settlement. Technical analysis, with its focus on chart patterns and moving averages, plays a crucial role in informing trading decisions. The market's complexity is further amplified by the presence of entities like credit risk, counterparty risk, and operational risk.

    Central bank intervention, order execution, clearing and settlement, and trade confirmation are essential components of the market's infrastructure, ensuring a seamless exchange of currencies. Geopolitical risk, currency correlation, and inflation rates contribute to currency volatility, necessitating hedging strategies and risk management. Market risk, interest rate differentials, and commodity currencies influence trading strategies, while cross-border payments and brokerage services facilitate international trade. The ongoing evolution of the market is marked by the emergence of advanced trading platforms, automated trading, and real-time data feeds, enabling traders to make informed decisions in an increasingly interconnected and complex global economy.

    How is this Foreign Exchange Industry segmented?

    The foreign exchange industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Type
    
      Reporting dealers
      Financial institutions
      Non-financial customers
    
    
    Trade Finance Instruments
    
      Currency swaps
      Outright forward and FX swaps
      FX options
    
    
    Trading Platforms
    
      Electronic Trading
      Over-the-Counter (OTC)
      Mobile Trading
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        Germany
        Switzerland
        UK
    
    
      Middle East and Africa
    
        UAE
    
    
      APAC
    
        China
        India
        Japan
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Type Insights

    The reporting dealers segment is estimated to witness significant growth during the forecast period.

    The market is a dynamic and complex ecosystem where various entities interplay to manage currency risks and facilitate international trade. Reporting dealers, as key participants,

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CEICdata.com (2025). South Africa ZA: Real Interest Rate [Dataset]. https://www.ceicdata.com/en/south-africa/interest-rates/za-real-interest-rate
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South Africa ZA: Real Interest Rate

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Dataset updated
Jan 15, 2025
Dataset provided by
CEIC Data
License

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

Time period covered
Dec 1, 2006 - Dec 1, 2017
Area covered
South Africa
Variables measured
Money Market Rate
Description

South Africa ZA: Real Interest Rate data was reported at 4.584 % pa in 2017. This records an increase from the previous number of 3.451 % pa for 2016. South Africa ZA: Real Interest Rate data is updated yearly, averaging 3.728 % pa from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 13.012 % pa in 1998 and a record low of -12.315 % pa in 1980. South Africa ZA: Real Interest Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s South Africa – Table ZA.World Bank.WDI: Interest Rates. Real interest rate is the lending interest rate adjusted for inflation as measured by the GDP deflator. The terms and conditions attached to lending rates differ by country, however, limiting their comparability.; ; International Monetary Fund, International Financial Statistics and data files using World Bank data on the GDP deflator.; ;

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