67 datasets found
  1. T

    Japan Inflation Rate

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Mar 21, 2025
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    TRADING ECONOMICS (2025). Japan Inflation Rate [Dataset]. https://tradingeconomics.com/japan/inflation-cpi
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    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Mar 21, 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
    Jan 31, 1958 - Feb 28, 2025
    Area covered
    Japan
    Description

    Inflation Rate in Japan decreased to 3.70 percent in February from 4 percent in January of 2025. This dataset provides the latest reported value for - Japan Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  2. T

    Brazil Inflation Rate

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Mar 12, 2025
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    TRADING ECONOMICS (2025). Brazil Inflation Rate [Dataset]. https://tradingeconomics.com/brazil/inflation-cpi
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Mar 12, 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
    Dec 31, 1980 - Feb 28, 2025
    Area covered
    Brazil
    Description

    Inflation Rate in Brazil increased to 5.06 percent in February from 4.56 percent in January of 2025. This dataset provides - Brazil Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  3. F

    Inflation, consumer prices for the United States

    • fred.stlouisfed.org
    json
    Updated Sep 19, 2024
    + more versions
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    (2024). Inflation, consumer prices for the United States [Dataset]. https://fred.stlouisfed.org/series/FPCPITOTLZGUSA
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    jsonAvailable download formats
    Dataset updated
    Sep 19, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Inflation, consumer prices for the United States (FPCPITOTLZGUSA) from 1960 to 2023 about consumer, CPI, inflation, price index, indexes, price, and USA.

  4. T

    United States Inflation Rate

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Mar 12, 2025
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    TRADING ECONOMICS (2025). United States Inflation Rate [Dataset]. https://tradingeconomics.com/united-states/inflation-cpi
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Mar 12, 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
    Dec 31, 1914 - Feb 28, 2025
    Area covered
    United States
    Description

    Inflation Rate in the United States decreased to 2.80 percent in February from 3 percent in January of 2025. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  5. J

    Japan JP: Real Interest Rate

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). Japan JP: Real Interest Rate [Dataset]. https://www.ceicdata.com/en/japan/interest-rates/jp-real-interest-rate
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    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, 2005 - Dec 1, 2016
    Area covered
    Japan
    Variables measured
    Money Market Rate
    Description

    Japan JP: Real Interest Rate data was reported at 0.769 % pa in 2016. This records an increase from the previous number of -0.978 % pa for 2015. Japan JP: Real Interest Rate data is updated yearly, averaging 2.802 % pa from Dec 1961 (Median) to 2016, with 56 observations. The data reached an all-time high of 6.125 % pa in 1983 and a record low of -12.450 % pa in 1970. Japan JP: Real Interest Rate data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Japan – Table JP.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.; ;

  6. T

    Thailand Interest Rate

    • tradingeconomics.com
    • sv.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Feb 26, 2025
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    TRADING ECONOMICS (2025). Thailand Interest Rate [Dataset]. https://tradingeconomics.com/thailand/interest-rate
    Explore at:
    csv, json, xml, excelAvailable download formats
    Dataset updated
    Feb 26, 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
    May 23, 2000 - Feb 26, 2025
    Area covered
    Thailand
    Description

    The benchmark interest rate in Thailand was last recorded at 2 percent. This dataset provides - Thailand Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  7. Z

    Forex News Annotated Dataset for Sentiment Analysis

    • data.niaid.nih.gov
    • paperswithcode.com
    • +1more
    Updated Nov 11, 2023
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    Kalliopi Kouroumali (2023). Forex News Annotated Dataset for Sentiment Analysis [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_7976207
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    Dataset updated
    Nov 11, 2023
    Dataset provided by
    Kalliopi Kouroumali
    Georgios Fatouros
    License

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

    Description

    This dataset contains news headlines relevant to key forex pairs: AUDUSD, EURCHF, EURUSD, GBPUSD, and USDJPY. The data was extracted from reputable platforms Forex Live and FXstreet over a period of 86 days, from January to May 2023. The dataset comprises 2,291 unique news headlines. Each headline includes an associated forex pair, timestamp, source, author, URL, and the corresponding article text. Data was collected using web scraping techniques executed via a custom service on a virtual machine. This service periodically retrieves the latest news for a specified forex pair (ticker) from each platform, parsing all available information. The collected data is then processed to extract details such as the article's timestamp, author, and URL. The URL is further used to retrieve the full text of each article. This data acquisition process repeats approximately every 15 minutes.

    To ensure the reliability of the dataset, we manually annotated each headline for sentiment. Instead of solely focusing on the textual content, we ascertained sentiment based on the potential short-term impact of the headline on its corresponding forex pair. This method recognizes the currency market's acute sensitivity to economic news, which significantly influences many trading strategies. As such, this dataset could serve as an invaluable resource for fine-tuning sentiment analysis models in the financial realm.

    We used three categories for annotation: 'positive', 'negative', and 'neutral', which correspond to bullish, bearish, and hold sentiments, respectively, for the forex pair linked to each headline. The following Table provides examples of annotated headlines along with brief explanations of the assigned sentiment.

    Examples of Annotated Headlines
    
    
        Forex Pair
        Headline
        Sentiment
        Explanation
    
    
    
    
        GBPUSD 
        Diminishing bets for a move to 12400 
        Neutral
        Lack of strong sentiment in either direction
    
    
        GBPUSD 
        No reasons to dislike Cable in the very near term as long as the Dollar momentum remains soft 
        Positive
        Positive sentiment towards GBPUSD (Cable) in the near term
    
    
        GBPUSD 
        When are the UK jobs and how could they affect GBPUSD 
        Neutral
        Poses a question and does not express a clear sentiment
    
    
        JPYUSD
        Appropriate to continue monetary easing to achieve 2% inflation target with wage growth 
        Positive
        Monetary easing from Bank of Japan (BoJ) could lead to a weaker JPY in the short term due to increased money supply
    
    
        USDJPY
        Dollar rebounds despite US data. Yen gains amid lower yields 
        Neutral
        Since both the USD and JPY are gaining, the effects on the USDJPY forex pair might offset each other
    
    
        USDJPY
        USDJPY to reach 124 by Q4 as the likelihood of a BoJ policy shift should accelerate Yen gains 
        Negative
        USDJPY is expected to reach a lower value, with the USD losing value against the JPY
    
    
        AUDUSD
    

    RBA Governor Lowe’s Testimony High inflation is damaging and corrosive

        Positive
        Reserve Bank of Australia (RBA) expresses concerns about inflation. Typically, central banks combat high inflation with higher interest rates, which could strengthen AUD.
    

    Moreover, the dataset includes two columns with the predicted sentiment class and score as predicted by the FinBERT model. Specifically, the FinBERT model outputs a set of probabilities for each sentiment class (positive, negative, and neutral), representing the model's confidence in associating the input headline with each sentiment category. These probabilities are used to determine the predicted class and a sentiment score for each headline. The sentiment score is computed by subtracting the negative class probability from the positive one.

  8. I

    Israel Expected Inflation Rate: Internal Interest Rates Derived: 1 Year...

    • ceicdata.com
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    CEICdata.com, Israel Expected Inflation Rate: Internal Interest Rates Derived: 1 Year Forward [Dataset]. https://www.ceicdata.com/en/israel/inflation-expectations/expected-inflation-rate-internal-interest-rates-derived-1-year-forward
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    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 1, 2024 - Feb 1, 2025
    Area covered
    Israel
    Variables measured
    Indicator
    Description

    Israel Expected Inflation Rate: Internal Interest Rates Derived: 1 Year Forward data was reported at 2.600 % in Feb 2025. This stayed constant from the previous number of 2.600 % for Jan 2025. Israel Expected Inflation Rate: Internal Interest Rates Derived: 1 Year Forward data is updated monthly, averaging 1.500 % from Jan 2008 (Median) to Feb 2025, with 206 observations. The data reached an all-time high of 3.400 % in Apr 2011 and a record low of -0.300 % in Feb 2016. Israel Expected Inflation Rate: Internal Interest Rates Derived: 1 Year Forward data remains active status in CEIC and is reported by Bank of Israel. The data is categorized under Global Database’s Israel – Table IL.I066: Inflation Expectations. [COVID-19-IMPACT]

  9. J

    The transmission of US shocks to Latin America (replication data)

    • journaldata.zbw.eu
    • jda-test.zbw.eu
    txt
    Updated Dec 8, 2022
    + more versions
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    Fabio Canova; Fabio Canova (2022). The transmission of US shocks to Latin America (replication data) [Dataset]. http://doi.org/10.15456/jae.2022319.0708473912
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    txt(31958), txt(4096), txt(1280), txt(2529)Available download formats
    Dataset updated
    Dec 8, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Fabio Canova; Fabio Canova
    License

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

    Area covered
    Americas, Latin America
    Description

    I study whether and how US shocks are transmitted to eight Latin American countries. US shocks are identified using sign restrictions and treated as exogenous with respect to Latin American economies. Posterior estimates for individual and average effects are constructed. US monetary shocks produce significant fluctuations in Latin America, but real demand and supply shocks do not. Floaters and currency boarders display similar output but different inflation and interest rate responses. The financial channel plays a crucial role in the transmission. US disturbances explain important portions of the variability of Latin American macrovariables, producing continental cyclical fluctuations and, in two episodes, destabilizing nominal exchange rate effects. Policy implications are discussed.

  10. Inflation rate in Nigeria 2029

    • statista.com
    Updated Nov 29, 2024
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    Statista (2024). Inflation rate in Nigeria 2029 [Dataset]. https://www.statista.com/statistics/383132/inflation-rate-in-nigeria/
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    Dataset updated
    Nov 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Nigeria
    Description

    Nigeria’s inflation has been higher than the average for African and Sub-Saharan countries for years now, and even exceeded 16 percent in 2017 – and a real, significant decrease is nowhere in sight. The bigger problem is its unsteadiness, however: An inflation rate that is bouncing all over the place, like this one, is usually a sign of a struggling economy, causing prices to fluctuate, and unemployment and poverty to increase. Nigeria’s economy - a so-called “mixed economy”, which means the market economy is at least in part regulated by the state – is not entirely in bad shape, though. More than half of its GDP is generated by the services sector, namely telecommunications and finances, and the country derives a significant share of its state revenues from oil.

    Because it got high

    To simplify: When the inflation rate rises, so do prices, and consequently banks raise their interest rates as well to cope and maintain their profit margin. Higher interest rates often cause unemployment to rise. In certain scenarios, rising prices can also mean more panicky spending and consumption among end users, causing debt and poverty. The extreme version of this is called hyperinflation: A rapid increase of prices that is out of control and leads to bankruptcies en masse, devaluation of money and subsequently a currency reform, among other things. But does that mean that low inflation is better? Maybe, but only to a certain degree; the ECB, for example, aspires to maintain an inflation rate of about two percent so as to keep the economy stable. As soon as we reach deflation territory, however, things are starting to look grim again. The best course is a stable inflation rate, to avoid uncertainty and rash actions.

    Nigeria today

    Nigeria is one of the countries with the largest populations worldwide and also the largest economy in Africa, with its economy growing rapidly after a slump in the aforementioned year 2017. It is slated to be one of the countries with the highest economic growth over the next few decades. Demographic key indicators, like infant mortality rate, fertility rate, and the median age of the population, all point towards a bright future. Additionally, the country seems to make big leaps forward in manufacturing and technological developments, and boasts huge natural resources, including natural gas. All in all, Nigeria and its inflation seem to be on the upswing – or on the path to stabilization, as it were.

  11. T

    Mexico Interest Rate

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Feb 20, 2025
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    TRADING ECONOMICS (2025). Mexico Interest Rate [Dataset]. https://tradingeconomics.com/mexico/interest-rate
    Explore at:
    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Feb 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
    Oct 14, 2005 - Feb 6, 2025
    Area covered
    Mexico
    Description

    The benchmark interest rate in Mexico was last recorded at 9.50 percent. This dataset provides - Mexico Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  12. U.S. annual inflation rate 1990-2023

    • statista.com
    Updated Aug 21, 2024
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    Statista (2024). U.S. annual inflation rate 1990-2023 [Dataset]. https://www.statista.com/statistics/191077/inflation-rate-in-the-usa-since-1990/
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    Dataset updated
    Aug 21, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In economics, the inflation rate is a measure of the change in price of a basket of goods. The most common measure being the consumer price index. It is the percentage rate of change in price level over time, and also indicates the rate of decrease in the purchasing power of money. The annual rate of inflation for 2023, was 4.1 percent higher in the United States when compared to the previous year. More information on inflation and the consumer price index can be found on our dedicated topic page. Additionally, the monthly rate of inflation in the United States can be accessed here. Inflation and purchasing power Inflation is a key economic indicator, and gives economists and consumers alike a look at changes in prices in the wider economy. For example, if an average pair of socks costs 100 dollars one year and 105 dollars the following year, the inflation rate is five percent. This means the amount of goods an individual can purchase with a unit of currency has decreased. This concept is often referred to as purchasing power. The data presents the average rate of inflation in a year, whereas the monthly measure of inflation measures the change in prices compared with prices one year ago. For example, monthly inflation in the U.S. reached a peak in June 2022 at 9.1 percent. This means that prices were 9.1 percent higher than they were in June of 2021. The purchasing power is the extent to which a person has available funds to make purchases. The Big Mac Index has been published by The Economist since 1986 and exemplifies purchasing power on a global scale, allowing us to see note the differences between different countries currencies. Switzerland for example, has the most expensive Big Mac in the world, costing consumers 6.71 U.S. dollars as of July 2022, whereas a Big Mac cost 5.15 dollars in the United States, and 4.77 dollars in the Euro area. One of the most important tools in influencing the rate of inflation is interest rates. The Federal Reserve of the United States has the capacity to make changes to the federal interest rate . Changes to the rate of inflation are thought to be an imbalance between supply and demand. After COVID-19 related lockdowns came to an end there was a sudden increase in demand for goods and services with consumers having more funds than usual thanks to reduced spending during lockdown and government funded economic support. Additionally, supply-chain related bottlenecks also due to lockdowns around the world and the Russian invasion of Ukraine meant that there was a decrease in the supply of goods and services. By increasing the interest rate, the Federal Reserve aims to reduce spending, and thus bring demand back into balance with supply.

  13. T

    United States Inflation Rate MoM

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Feb 12, 2025
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    TRADING ECONOMICS (2025). United States Inflation Rate MoM [Dataset]. https://tradingeconomics.com/united-states/inflation-rate-mom
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Feb 12, 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
    Feb 28, 1947 - Feb 28, 2025
    Area covered
    United States
    Description

    The Consumer Price Index in the United States increased 0.20 percent in February of 2025 over the previous month. This dataset provides - United States Inflation Rate MoM - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  14. 4

    Data underlying the publication: The impact of the Hamas-Israel conflict on...

    • data.4tu.nl
    zip
    Updated Nov 28, 2024
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    Jeroen Klomp (2024). Data underlying the publication: The impact of the Hamas-Israel conflict on the U.S. defense industry stock market return [Dataset]. http://doi.org/10.4121/d8deb768-0d23-4330-adf9-3506b641088e.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Nov 28, 2024
    Dataset provided by
    4TU.ResearchData
    Authors
    Jeroen Klomp
    License

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

    Time period covered
    2023 - 2024
    Area covered
    United States
    Description

    This dataset facilitates an analysis of the impact of the recent Israel-Hamas conflict on the stock market performance of U.S. defense companies, as measured by the returns of defense-sector Exchange-Traded Funds (ETFs). The conflict is quantified using variables such as a binary "attack" indicator, casualty counts, and the intensity of Google search activity related to the war. Additionally, the dataset incorporates a comprehensive set of control variables, including interest rates, exchange rates, oil prices, inflation rates, and factors related to the Ukraine conflict, ensuring a robust framework for evaluating the effects of this geopolitical event.

  15. T

    Thailand Inflation Rate

    • tradingeconomics.com
    • sv.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Mar 7, 2025
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    Thailand Inflation Rate [Dataset]. https://tradingeconomics.com/thailand/inflation-cpi
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Mar 7, 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
    Jan 31, 1977 - Feb 28, 2025
    Area covered
    Thailand
    Description

    Inflation Rate in Thailand decreased to 1.08 percent in February from 1.32 percent in January of 2025. This dataset provides the latest reported value for - Thailand Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  16. J

    Panel cointegration tests of the Fisher effect (replication data)

    • jda-test.zbw.eu
    • journaldata.zbw.eu
    txt
    Updated Nov 4, 2022
    + more versions
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    Joakim Westerlund; Joakim Westerlund (2022). Panel cointegration tests of the Fisher effect (replication data) [Dataset]. https://jda-test.zbw.eu/dataset/panel-cointegration-tests-of-the-fisher-effect
    Explore at:
    txt(1743), txt(3844), txt(16919), txt(17863)Available download formats
    Dataset updated
    Nov 4, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Joakim Westerlund; Joakim Westerlund
    License

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

    Description

    Most empirical evidence suggests that the Fisher effect, stating that inflation and nominal interest rates should cointegrate with a unit slope on inflation, does not hold, a finding at odds with many theoretical models. This paper argues that these results can be attributed in part to the low power of univariate tests, and that the use of panel data can generate more powerful tests. For this purpose, we propose two new panel cointegration tests that can be applied under very general conditions, and that are shown by simulation to be more powerful than other existing tests. These tests are applied to a panel of quarterly data covering 20 OECD countries between 1980 and 2004. The evidence suggest that the Fisher effect cannot be rejected once the panel evidence on cointegration has been taken into account.

  17. T

    Russia Inflation Rate

    • tradingeconomics.com
    • no.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Mar 12, 2025
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    TRADING ECONOMICS (2025). Russia Inflation Rate [Dataset]. https://tradingeconomics.com/russia/inflation-cpi
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Mar 12, 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
    Dec 31, 1991 - Feb 28, 2025
    Area covered
    Russia
    Description

    Inflation Rate in Russia increased to 10.10 percent in February from 9.90 percent in January of 2025. This dataset provides - Russia Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  18. f

    Priors and posteriors distributions–Exogenous processes.

    • plos.figshare.com
    • 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.

  19. T

    Russia Interest Rate

    • tradingeconomics.com
    • sv.tradingeconomics.com
    • +17more
    csv, excel, json, xml
    Updated Mar 21, 2025
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    TRADING ECONOMICS (2025). Russia Interest Rate [Dataset]. https://tradingeconomics.com/russia/interest-rate
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Mar 21, 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
    May 20, 2003 - Mar 21, 2025
    Area covered
    Russia
    Description

    The benchmark interest rate in Russia was last recorded at 21 percent. This dataset provides the latest reported value for - Russia Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  20. f

    Multicollinearity test.

    • figshare.com
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    Updated Mar 29, 2024
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    Tasos Stylianou; Rakia Nasir; Muhammad Waqas (2024). Multicollinearity test. [Dataset]. http://doi.org/10.1371/journal.pone.0301257.t003
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    xlsAvailable download formats
    Dataset updated
    Mar 29, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Tasos Stylianou; Rakia Nasir; Muhammad Waqas
    License

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

    Description

    This paper investigates the long-run and short-run relationship between money supply and inflation in Pakistan, utilizing annual data spanning from 1981 to 2021. The key objective is to assess the impact of monetary policy, specifically money supply, on inflation dynamics in the country. To achieve this, the Autoregressive Distributed Lag (ARDL) bounds testing approach is employed, which is suitable for analyzing cointegration among variables with mixed integration orders. The results reveal both short and long-run cointegration between inflation, money supply, unemployment, and interest rates. Notably, unemployment demonstrates a negative correlation with inflation, while money supply and interest rates exhibit a positive relationship. These findings underscore the importance of dedicated policy measures to manage inflation effectively. The paper concludes by recommending the establishment of a policy implementation body and collaboration between the government and the central bank to ensure financial stability and control inflation through well-calibrated monetary and fiscal policies.

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TRADING ECONOMICS (2025). Japan Inflation Rate [Dataset]. https://tradingeconomics.com/japan/inflation-cpi

Japan Inflation Rate

Japan Inflation Rate - Historical Dataset (1958-01-31/2025-02-28)

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89 scholarly articles cite this dataset (View in Google Scholar)
csv, json, excel, xmlAvailable download formats
Dataset updated
Mar 21, 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
Jan 31, 1958 - Feb 28, 2025
Area covered
Japan
Description

Inflation Rate in Japan decreased to 3.70 percent in February from 4 percent in January of 2025. This dataset provides the latest reported value for - Japan Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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