The benchmark interest rate in the United States was last recorded at 4.50 percent. This dataset provides the latest reported value for - United States Fed Funds Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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.

Inflation Rate in Turkey decreased to 39.05 percent in February from 42.12 percent in January of 2025. This dataset provides the latest reported value for - Turkey Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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.

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.

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.

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.

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.

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.

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.

Inflation Rate in Nigeria decreased to 23.18 percent in February from 24.48 percent in January of 2025. This dataset provides - Nigeria Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Introduction of the euro in the recently acceded EU member states. Topics: contact with and use of euro banknotes or coins; use of euro banknotes or coins in the own country or abroad; knowledge test on the euro: equal design of euro banknotes and coins in every country, number of countries that already introduced the euro, possibility of the own country to choose whether to introduce the euro or not, year of introduction of the euro in the own country; self-rated knowledge on the euro; preferred time of information about the introduction of the euro in the own country; trust in information about the introduction provided by: national government or authorities, tax administrations, national central bank, European institutions, commercial banks, journalists, trade unions or professional organizations, consumer associations; preferred places of information about the euro and the changeover; most important issues to be covered by information campaigns; significance of selected information campaign actions; assessment of the impact of the introduction of the euro in the countries already using the euro as positive; assessment of the impact of the introduction on the own country and on personal life; preference for introducing the euro in the own country; preferred time for introducing the euro in the own country; expected impact of the introduction on the prices in the own country; expected impact of the introduction: easier price comparisons with other countries, easier shopping in other countries, save money by eliminating fees of currency exchange in other countries, more convenient travel in other countries, protection of the own country from the effects of international crises; benefits from the adoption of the euro on the own country: lower interest rates, sounder public finances, improvement of growth and employment, low inflation rates, reinforcement of the place of Europe in the world, strengthening of the feeling of being European; approval of the following statements regarding the adoption of the euro: will cause personal inconvenience, concern about abusive price setting during the changeover, loss of control over national economic policy, loss of national identity. Demography: age; sex; nationality; age at end of education; professional position; region; type of community; own a mobile phone and fixed (landline) phone; household composition and household size. Additionally coded was: type of phone line; nation group; weighting factor. Einführung des Euro in den kürzlich der EU beigetretenen Mitgliedstaaten. Themen: Kontakt mit und Nutzung von Euro-Banknoten und -Münzen; Nutzung von Euro-Banknoten und -Münzen im eigenen Land oder im Ausland; Wissenstest über den Euro: identisches Aussehen von Euro-Banknoten und -Münzen in jedem Land, Anzahl der bereits den Euro nutzenden Länder, Wahlfreiheit des eigenes Landes bezüglich der Einführung des Euro, Jahr der Einführung des Euro im eigenen Land; Selbsteinschätzung der Informiertheit über den Euro; bevorzugter Zeitpunkt für Informationen zur Euro-Einführung im eigenen Land; Vertrauen in Informationen zur Euro-Einführung von: nationaler Regierung oder Behörden, Steuerbehörden, nationaler Zentralbank, europäischen Institutionen, Geschäftsbanken, Journalisten, Gewerkschaften oder Berufsorganisationen, Verbraucherschutzorganisationen; bevorzugte Orte für Informationen über den Euro und die Umstellung; wichtigste Inhalte einer Informationskampagne zum Euro; Bedeutung einzelner Aktionen einer Informationskampagne; Einschätzung der Folgen der Einführung in den bereits den Euro nutzenden Ländern als positiv; Einschätzung der Folgen der Einführung für das eigene Land und für den Befragten persönlich; Präferenz für die Einführung des Euro im eigenen Land; bevorzugter Zeitpunkt für die Einführung des Euro im eigenen Land; erwartete Auswirkungen der Einführung auf die Preise im eigenen Land; erwartete Folgen der Einführung: Erleichterung von Preisvergleichen mit anderen Ländern, Erleichterung von Einkäufen in anderen Ländern, Kostensenkung beim Geldumtausch durch Aufheben von Gebühren, bequemeres Reisen in anderen Ländern, Schutz des eigenen Landes vor den Folgen internationaler Krisen; Vorzüge durch die Einführung des Euro für das eigene Land: niedrigere Zinssätze, solidere öffentliche Finanzen, Verbesserung von Wachstum und Beschäftigung, niedrige Inflationsraten, Stärkung der Rolle Europas in der Welt, Stärkung der europäischen Identifikation; Zustimmung zu folgenden Aussagen zur Euro-Einführung: persönliche Unannehmlichkeiten, Besorgnis über missbräuchliche Preisbildung während des Übergangs, Verlust der Kontrolle über die nationale Wirtschaftspolitik, Verlust der nationalen Identität. Demographie: Alter; Geschlecht; Staatsangehörigkeit; Alter bei Beendigung der Ausbildung; berufliche Stellung; Region; Urbanisierungsgrad; Besitz eines Mobiltelefons; Festnetztelefon im Haushalt; Anzahl der Personen ab 15 Jahren im Haushalt (Haushaltsgröße). Zusätzlich verkodet wurde: Interviewmodus (Mobiltelefon oder Festnetz); Nationengruppe; Gewichtungsfaktor.

Replication files for "Job-to-Job Mobility and Inflation" Authors: Renato Faccini and Leonardo Melosi Review of Economics and Statistics Date: February 2, 2023 -------------------------------------------------------------------------------------------- ORDERS OF TOPICS .Section 1. We explain the code to replicate all the figures in the paper (except Figure 6) .Section 2. We explain how Figure 6 is constructed .Section 3. We explain how the data are constructed SECTION 1 Replication_Main.m is used to reproduce all the figures of the paper except Figure 6. All the primitive variables are defined in the code and all the steps are commented in code to facilitate the replication of our results. Replication_Main.m, should be run in Matlab. The authors tested it on a DELL XPS 15 7590 laptop wih the follwoing characteristics: -------------------------------------------------------------------------------------------- Processor Intel(R) Core(TM) i9-9980HK CPU @ 2.40GHz 2.40 GHz Installed RAM 64.0 GB System type 64-bit operating system, x64-based processor -------------------------------------------------------------------------------------------- It took 2 minutes and 57 seconds for this machine to construct Figures 1, 2, 3, 4a, 4b, 5, 7a, and 7b. The following version of Matlab and Matlab toolboxes has been used for the test: -------------------------------------------------------------------------------------------- MATLAB Version: 9.7.0.1190202 (R2019b) MATLAB License Number: 363305 Operating System: Microsoft Windows 10 Enterprise Version 10.0 (Build 19045) Java Version: Java 1.8.0_202-b08 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode -------------------------------------------------------------------------------------------- MATLAB Version 9.7 (R2019b) Financial Toolbox Version 5.14 (R2019b) Optimization Toolbox Version 8.4 (R2019b) Statistics and Machine Learning Toolbox Version 11.6 (R2019b) Symbolic Math Toolbox Version 8.4 (R2019b) -------------------------------------------------------------------------------------------- The replication code uses auxiliary files and save the pictures in various subfolders: \JL_models: It contains the equations describing the model including the observation equations and routine used to solve the model. To do so, the routine in this folder calls other routines located in some fo the subfolders below. \gensystoama: It contains a set of codes that allow us to solve linear rational expectations models. We use the AMA solver. More information are provided in the file AMASOLVE.m. The codes in this subfolder have been developed by Alejandro Justiniano. \filters: it contains the Kalman filter augmented with a routine to make sure that the zero lower bound constraint for the nominal interest rate is satisfied in every period in our sample. \SteadyStateSolver: It contains a set of routines that are used to solved the steady state of the model numerically. \NLEquations: It contains some of the equations of the model that are log-linearized using the symbolic toolbox of matlab. \NberDates: It contains a set of routines that allows to add shaded area to graphs to denote NBER recessions. \Graphics: It contains useful codes enabling features to construct some of the graphs in the paper. \Data: it contains the data set used in the paper. \Params: It contains a spreadsheet with the values attributes to the model parameters. \VAR_Estimation: It contains the forecasts implied by the Bayesian VAR model of Section 2. The output of Replication_Main.m are the figures of the paper that are stored in the subfolder \Figures SECTION 2 The Excel file "Figure-6.xlsx" is used to create the charts in Figure 6. All three panels of the charts (A, B, and C) plot a measure of unexpected wage inflation against the unemployment rate, then fits separate linear regressions for the periods 1960-1985,1986-2007, and 2008-2009. Unexpected wage inflation is given by the difference between wage growth and a measure of expected wage growth. In all three panels, the unemployment rate used is the civilian unemployment rate (UNRATE), seasonally adjusted, from the BLS. The sheet "Panel A" uses quarterly manufacturing sector average hourly earnings growth data, seasonally adjusted (CES3000000008), from the Bureau of Labor Statistics (BLS) Employment Situation report as the measure of wage inflation. The unexpected wage inflation is given by the difference between earnings growth at time t and the average of earnings growth across the previous four months. Growth rates are annualized quarterly values. The sheet "Panel B" uses quarterly Nonfarm Business Sector Compensation Per Hour, seasonally adjusted (COMPNFB), from the BLS Productivity and Costs report as its measure of wage inflation. As in Panel A, expected wage inflation is given by the average wage inflation over the previous four quarters. Growth rates are annualized quarterly values. The sheet "Panel C" uses semiannual manufacturing...

Introduction of the euro in the recently acceded EU member states. Topics: contact with and use of euro banknotes or coins; use of euro banknotes or coins in the own country or abroad; knowledge test on the euro: equal design of euro banknotes and coins in every country, number of countries that already introduced the euro, possibility of the own country to choose whether to introduce the euro or not, year of introduction of the euro in the own country; self-rated knowledge on the euro; preferred time of information about the introduction of the euro in the own country; trust in information about the introduction provided by: national government or authorities, tax administrations, national central bank, European institutions, commercial banks, journalists, trade unions or professional organizations, consumer associations; preferred places of information about the euro and the changeover; most important issues to be covered by information campaigns; significance of selected information campaign actions; assessment of the impact of the introduction of the euro in the countries already using the euro as positive; assessment of the impact of the introduction on the own country and on personal life; approval of introducing the euro in the own country; preferred time for introducing the euro in the own country; estimated impact of the economic and financial crisis of the last few years on the time of euro introduction in the own country; earlier adoption of the euro would have mitigated negative effects of the crisis in the own country; expected impact of the introduction on the prices in the own country; expected impact of the introduction: easier price comparisons with other countries, easier shopping in other countries, save money by eliminating fees of currency exchange in other countries, more convenient travel in other countries, protection of the own country from the effects of international crises; benefits from the adoption of the euro on the own country: lower interest rates, sounder public finances, improvement of growth and employment, low inflation rates, reinforcement of the place of Europe in the world, strengthening of European identity; approval of the following statements on the impact of the introduction of the euro: personal inconvenience due to replacement of national currency, afraid of abusive price setting, loss of control over national economic policy, loss of national identity. Demography: age; sex; nationality; age at end of education; professional position; region; type of community; own a mobile phone and fixed (landline) phone; household composition and household size. Additionally coded was: respondent ID; type of phone line; language of the interview; country; weighting factor. Kenntnisse über den Euro und Erfahrungen im Umgang. Bewertung der Bereitstellung von Informationen über den Euro und präferierte Informationsquellen. Unterstützung für die einheitliche Währung. Erwartete Folgen und Unannehmlichkeiten der Euro-Einführung. Themen: Kenntnis der Euro-Banknoten und Euro-Münzen; Verwendung von Euro-Banknoten und Euro-Münzen im eigenen Land bzw. im Ausland; Wissenstest zum Design der Euro-Banknoten und Euro-Münzen; Wissenstest über die Anzahl der EU-Länder, die den Euro bereits eingeführt haben; freie Entscheidung des eigenen Landes für die Einführung des Euro; präferierte Informationsquellen über den Euro und die Euro-Umstellung; wichtigste Inhalte der Euro-Informationskampagne (Umstellungsprozess, Wert eines Euro in Landeswährung, Design, Einhaltung der Regeln des Währungs-Umtausches, praktische Auswirkungen auf das Gehalt und Bankkonto, soziale, ökonomische oder politische Auswirkungen); Beurteilung ausgewählter Maßnahmen der Euro-Informationskampagne (doppelte Preisauszeichnung in Geschäften, auf Rechnungen und bei der Gehaltsabrechnung, Informationsbroschüren, Anzeigen in den Medien Fernsehen, Radio und Zeitung); erwartete positive oder negative Auswirkungen der Einführung des Euro für das eigene Land und den Befragten persönlich; Einstellung zur Einführung des Euro; präferierter Zeitpunkt für die Umstellung auf Euro; erwartete Auswirkungen der Euro-Einführung auf die Preise im Land; erwartete Vorteile des Euro (vereinfachte Preisvergleiche mit anderen Euro-Ländern, einfacheres Einkaufen in anderen Euro-Ländern, Wegfall von Geldwechselgebühren, praktisch für Reisen in andere Euro-Länder, Schutz des Landes vor den Auswirkungen internationaler Krisen, Verbesserung von Wachstum und Beschäftigung, sicherstellen niedriger Inflationsraten, Stärkung Europas in der Welt, verstärkte europäische Identifikation); Einstellung zu ausgewählten Aussagen hinsichtlich der Übernahme des Euro (Skala: Austausch der Landeswährung durch den Euro führt zu persönlichen Unannehmlichkeiten, Besorgnis über missbräuchliche Preisfestsetzung während der Umstellung, führt zum Kontrollverlust über die nationale Wirtschaftspolitik, Identitätsverlust des eigenen Landes). Demographie: Alter; Geschlecht; Alter bei Beendigung der Ausbildung; berufliche Stellung; Region; Urbanisierungsgrad; Besitz eines Mobiltelefons; Festnetztelefon im Haushalt; Anzahl der Personen im Haushalt ab 15 Jahren (Haushaltsgröße). Zusätzlich verkodet wurde: Befragten-ID; Interviewmodus (Mobiltelefon oder Festnetz); Interviewsprache; Land; Gewichtungsfaktor.

View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

The benchmark interest rate in Japan was last recorded at 0.50 percent. This dataset provides - Japan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate In the Euro Area was last recorded at 2.65 percent. This dataset provides - Euro Area Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

Inflation Rate in Pakistan decreased to 1.50 percent in February from 2.40 percent in January of 2025. This dataset provides the latest reported value for - Pakistan Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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.