7 datasets found
  1. F

    Producer Price Index by Commodity: Final Demand: Total Finished Less Foods...

    • fred.stlouisfed.org
    json
    Updated Aug 14, 2025
    + more versions
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    (2025). Producer Price Index by Commodity: Final Demand: Total Finished Less Foods and Energy [Dataset]. https://fred.stlouisfed.org/series/WPSFD49203
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 14, 2025
    License

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

    Description

    Graph and download economic data for Producer Price Index by Commodity: Final Demand: Total Finished Less Foods and Energy (WPSFD49203) from Jan 2010 to Jul 2025 about finished, final demand, core, capital, investment, consumption, personal, private, commodities, PPI, inflation, price index, indexes, price, and USA.

  2. F

    Producer Price Index by Industry: Portfolio Management and Investment...

    • fred.stlouisfed.org
    json
    Updated Aug 14, 2025
    + more versions
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    (2025). Producer Price Index by Industry: Portfolio Management and Investment Advice: Investment Advisory Services [Dataset]. https://fred.stlouisfed.org/series/PCU5239305239301
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 14, 2025
    License

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

    Description

    Graph and download economic data for Producer Price Index by Industry: Portfolio Management and Investment Advice: Investment Advisory Services (PCU5239305239301) from Dec 1999 to Jul 2025 about investment, services, PPI, industry, inflation, price index, indexes, price, and USA.

  3. T

    United States Producer Prices

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 16, 2025
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    TRADING ECONOMICS (2025). United States Producer Prices [Dataset]. https://tradingeconomics.com/united-states/producer-prices
    Explore at:
    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Jul 16, 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
    Nov 30, 2009 - Jul 31, 2025
    Area covered
    United States
    Description

    Producer Prices in the United States increased to 149.67 points in July from 148.27 points in June of 2025. This dataset provides the latest reported value for - United States Producer Prices - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  4. Is iShares Core U.S. REIT ETF a Solid Real Estate Investment? (Forecast)

    • kappasignal.com
    Updated Mar 20, 2024
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    KappaSignal (2024). Is iShares Core U.S. REIT ETF a Solid Real Estate Investment? (Forecast) [Dataset]. https://www.kappasignal.com/2024/03/is-ishares-core-us-reit-etf-solid-real.html
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    Dataset updated
    Mar 20, 2024
    Dataset authored and provided by
    KappaSignal
    License

    https://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html

    Description

    This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

    Is iShares Core U.S. REIT ETF a Solid Real Estate Investment?

    Financial data:

    • Historical daily stock prices (open, high, low, close, volume)

    • Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

    • Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

    Machine learning features:

    • Feature engineering based on financial data and technical indicators

    • Sentiment analysis data from social media and news articles

    • Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

    Potential Applications:

    • Stock price prediction

    • Portfolio optimization

    • Algorithmic trading

    • Market sentiment analysis

    • Risk management

    Use Cases:

    • Researchers investigating the effectiveness of machine learning in stock market prediction

    • Analysts developing quantitative trading Buy/Sell strategies

    • Individuals interested in building their own stock market prediction models

    • Students learning about machine learning and financial applications

    Additional Notes:

    • The dataset may include different levels of granularity (e.g., daily, hourly)

    • Data cleaning and preprocessing are essential before model training

    • Regular updates are recommended to maintain the accuracy and relevance of the data

  5. m

    Data from: Regime-dependent Price Puzzle in the Brazilian Economy: evidence...

    • data.mendeley.com
    Updated Aug 22, 2020
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    GIULIANO FERREIRA (2020). Regime-dependent Price Puzzle in the Brazilian Economy: evidence from VAR and FAVAR approaches. [Dataset]. http://doi.org/10.17632/cy9hzxtz2h.1
    Explore at:
    Dataset updated
    Aug 22, 2020
    Authors
    GIULIANO FERREIRA
    License

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

    Description

    We investigate whether the price puzzle, found in previous empirical studies, consists of model misspecification or a feature of the economy. To analyze the anomaly, we estimate the central bank's reaction function through the standard VAR and FAVAR approaches, spanning the period from July 2003 to June 2018. The results suggest that the price puzzle stands out as a feature of the economy only at intervals of activity slowdown. The data consists of the 71 indicators potentially used by the Brazilian Central Bank in formulating monetary policy. Note that “SA” stands for series seasonally adjusted by the source and “*” denotes series seasonally adjusted by the Census X-13 ARIMA methodology (US Census Bureau). The transformation codes are: 1-No transformation; 2-First difference; 3-Logarithm; and 4-First difference of logarithm. The "S/F" stands for “Slow-moving” (S) and “Fast-moving” (F). The sources of the time series used in our study are as follows: the Brazilian Steel Institute (IBS), the State System of Data Analysis, Research and Unemployment Foundation (SEADE), the Center Foundation for Foreign Trade Studies (FUNCEX), the Brazilian Association of Financial and Capital Market Institutions (ANBIMA), the Institute of Applied Economic Research (IPEA), the National Confederation of Industry (CNI), the Brazilian Central Bank (BCB), the Brazilian Institute of Geography and Statistics (IBGE), the Brazilian Ministry of Labor (ML), the Brazilian Foreign Trade Secretary (FTS), the Brazilian stock market exchange (BMF Bovespa), the Getulio Vargas Foundation (FGV, Brazilian economic research institution), the JP Morgan, the Investing (US-based financial investment company), the US Bureau of Labor Statistics (BLS), the Federal Reserve Bank (FED), the Organization for Economic Cooperation and Development (OECD), and the International Monetary Fund (IMF). Importantly, the CDI is the average interest rate, indicative against which a representative group of banks makes unsecured loans to each other in the Brazilian financial market. The swap DI x Fixed Interest Rate is floating for a fixed swap contract . The IPCA, IPC, and INPC are consumer price indexes with different building methodologies. The IPADI is a producer price index. The INCC measures the changes in prices of the construction sector. The IPCA index is composed of free and state-regulated prices. The formers are determined by market supply and demand and comprise the prices of food, beverage, housing, household items, clothing, personal expenses, and education (IPCA Free Prices). The IPCA Free Tradable Prices index is composed of prices of goods that have free prices and are internationally traded. The IPCA Core Prices index is a measure that aims to capture the price trend, excluding the disturbances caused by temporary shocks. The IGPDI and IGPOG are both hybrid price indexes with different methodological approaches.

  6. T

    New Zealand PPI Output YoY

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +7more
    csv, excel, json, xml
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    TRADING ECONOMICS, New Zealand PPI Output YoY [Dataset]. https://tradingeconomics.com/new-zealand/producer-prices-change
    Explore at:
    excel, xml, json, csvAvailable download formats
    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, 1978 - Mar 31, 2025
    Area covered
    New Zealand
    Description

    Producer Prices in New Zealand increased 4.70 percent in March of 2025 over the same month in the previous year. This dataset includes a chart with historical data for New Zealand PPI Output YoY.

  7. T

    Canada Producer Prices

    • tradingeconomics.com
    • fr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Share
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    TRADING ECONOMICS, Canada Producer Prices [Dataset]. https://tradingeconomics.com/canada/producer-prices
    Explore at:
    csv, excel, xml, jsonAvailable download formats
    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, 1956 - Jun 30, 2025
    Area covered
    Canada
    Description

    Producer Prices in Canada increased to 130.10 points in June from 129.60 points in May of 2025. This dataset provides the latest reported value for - Canada Producer Prices - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

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    Learn how you can add new datasets to our index.

Share
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(2025). Producer Price Index by Commodity: Final Demand: Total Finished Less Foods and Energy [Dataset]. https://fred.stlouisfed.org/series/WPSFD49203

Producer Price Index by Commodity: Final Demand: Total Finished Less Foods and Energy

WPSFD49203

Explore at:
jsonAvailable download formats
Dataset updated
Aug 14, 2025
License

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

Description

Graph and download economic data for Producer Price Index by Commodity: Final Demand: Total Finished Less Foods and Energy (WPSFD49203) from Jan 2010 to Jul 2025 about finished, final demand, core, capital, investment, consumption, personal, private, commodities, PPI, inflation, price index, indexes, price, and USA.

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