7 datasets found
  1. Price and Withdrawals of Natural Gas

    • kaggle.com
    zip
    Updated Oct 3, 2024
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    Ayan Mukherjee (2024). Price and Withdrawals of Natural Gas [Dataset]. https://www.kaggle.com/datasets/ayan2002/price-and-withdrawals-of-natural-gas/data
    Explore at:
    zip(903114 bytes)Available download formats
    Dataset updated
    Oct 3, 2024
    Authors
    Ayan Mukherjee
    Description

    Title: Natural Gas Price Determinants: A Comprehensive Dataset

    Description: This dataset provides a rich and detailed exploration of various factors influencing natural gas prices, offering valuable insights for researchers, analysts, and policymakers. The data is sourced from AEMO (Australian Energy Market Operator), ensuring the highest level of accuracy and reliability.

    Key Features: Comprehensive Parameter Coverage: The dataset includes a wide range of variables relevant to natural gas pricing, such as: Supply Factors: Gas production rates, storage levels, and pipeline capacities. * Demand Factors: Consumption patterns, industrial usage, and residential demand. * Economic Indicators: GDP growth, inflation rates, and consumer confidence. * Weather Conditions: Temperature variations, precipitation, and extreme weather events. * Geopolitical Factors: International conflicts, trade policies, and regulatory changes. * Time Series Data: The dataset spans multiple years, allowing for in-depth analysis of price trends, seasonality, and long-term correlations. * Granular Level of Detail: Data is provided at a granular level, enabling detailed examination of price fluctuations across different regions and time periods. * Clean and Standardized Format: The dataset is carefully curated and standardized to ensure data quality and consistency.

    Potential Use Cases:

    • Price Forecasting: Researchers can develop accurate models to predict future natural gas prices based on historical data and identified trends.
    • Risk Assessment: Analysts can assess the impact of various factors on price volatility and identify potential risks for market participants.
    • Policy Analysis: Policymakers can evaluate the effectiveness of different regulatory measures and pricing strategies.
    • Investment Decisions: Investors can make informed decisions about investments in the natural gas sector by understanding the underlying drivers of price fluctuations.

    Dataset Format:

    • CSV: The dataset will be provided in a CSV format for easy import and analysis using popular data science tools.

    Acknowledgements:

    We would like to thank AEMO for providing the data and supporting this research.

    Keywords: natural gas, price, determinants, factors, AEMO, dataset, analysis, forecasting, risk, policy, investment.

  2. Prime loan rate of banks in the U.S. 1990-2025

    • statista.com
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    Statista, Prime loan rate of banks in the U.S. 1990-2025 [Dataset]. https://www.statista.com/statistics/187623/charged-prime-rate-by-us-banks/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The U.S. bank prime loan rate has undergone significant fluctuations over the past three decades, reflecting broader economic trends and monetary policy decisions. From a high of **** percent in 1990, the rate has seen periods of decline, stability, and recent increases. As of October 2025, the prime rate stood at **** percent, marking a notable rise from the historic lows seen in the early 2020s. Federal Reserve's impact on lending rates The prime rate's trajectory closely mirrors changes in the federal funds rate, which serves as a key benchmark for the U.S. financial system. In 2023, the Federal Reserve implemented a series of rate hikes, pushing the federal funds target range to ******** percent by year-end. This was followed by several rate cuts in 2024, with the target range standing at 4.25 to 4.5 percent in December 2024. The aggressive monetary tightening in 2023 was aimed at combating rising inflation, and its effects rippled through various lending rates, including the prime rate. Long-term investment outlook While short-term rates have risen, long-term investment yields have also seen changes. The 10-year U.S. Treasury bond, a benchmark for long-term interest rates, showed an average market yield of **** percent in the second quarter of 2024, adjusted for constant maturity and inflation. This figure represents a recovery from negative real returns seen in 2021, reflecting shifting expectations for economic growth and inflation. The evolving yield environment has implications for both borrowers and investors, influencing decisions across the financial landscape.

  3. The Global Gold Mining market size was USD 202515.2 million in 2023

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Jul 27, 2025
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    Cognitive Market Research (2025). The Global Gold Mining market size was USD 202515.2 million in 2023 [Dataset]. https://www.cognitivemarketresearch.com/gold-mining-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jul 27, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, The Global Gold Mining market size is USD 202515.2 million in 2023 and will expand at a compound annual growth rate (CAGR) of 3.80% from 2023 to 2030.

    The demand for Gold Mining is rising due to the technological advancements in exploration and extraction and rising demand for gold in various industries.
    Demand for Hardrock (LODE) mining remains higher in the Gold Mining market.
    The Investment category held the highest Gold Mining market revenue share in 2023.
    North American Gold Mining will continue to lead, whereas the Asia Pacific Gold Mining market will experience the most substantial growth until 2030.
    

    How did COVID–19 impact the Gold Mining market?

    The COVID-19 pandemic had a multifaceted impact on the Gold Mining market. Initially, the global economic uncertainty and financial market volatility triggered a surge in demand for gold as a safe-haven asset, driving up gold prices. However, the pandemic also disrupted mining operations worldwide due to lockdowns, supply chain interruptions, and workforce limitations. The implementation of social distancing measures and health protocols led to operational slowdowns and, in some cases, temporary halts in gold mining activities. Additionally, travel restrictions hindered exploration and development projects. Despite these challenges, the resilience of gold as a safe investment during uncertain times sustained market interest.

    MARKET DYNAMICS: KEY DRIVERS

    Global Economic Conditions and Gold Prices to Provide Viable Market Output

    The Gold Mining market is significantly influenced by global economic conditions and the prevailing prices of gold. Economic uncertainties, geopolitical tensions, and inflation concerns often drive investors towards gold as a safe-haven asset. Consequently, higher demand for gold results in increased exploration, production, and investment in the gold mining sector. Fluctuations in gold prices directly impact the profitability of gold mining operations, influencing production decisions and exploration activities.

    March 2023: Pan American Silver Corporation acquired all the issued and outstanding common shares of Yamana Gold Inc., as part of the arrangement, which includes its mines and increased the geographical operations of the company in Latin America.
    

    Growing population with high income and demand for gold jewellery to propel market growth

    Technological Advancements in Exploration to Propel Market Growth

    One key driver in the Gold Mining market is the continuous advancement of technology in exploration methods. Innovative technologies, such as remote sensing, geophysical surveys, and advanced drilling techniques, enhance the efficiency and precision of gold exploration. These technological advancements not only contribute to the discovery of new gold deposits but also improve the accuracy of resource estimation. The integration of artificial intelligence and data analytics further enhances decision-making processes, allowing gold mining companies to optimize exploration efforts, reduce exploration risks, and maximize the discovery of economically viable gold reserves.

    February 2023: Barrick Gold, the world's second-biggest gold producer, announced a 10% increase in attributable proved and probable gold mineral reserves to 76 million ounces net of depletion in 2022 while maintaining current reserves..
    
    Environmental and Regulatory Challenges to Restrict Market Growth
    
    Environmental and regulatory challenges emerge as significant restraints in the Gold Mining market. Stringent environmental regulations and increased scrutiny on the impact of mining activities on ecosystems pose hurdles for gold mining companies. Compliance with environmental standards necessitates sophisticated waste management and reclamation practices, adding operational complexities and costs. Additionally, securing permits for exploration and mining activities becomes a prolonged process, causing delays.
    

    The Gold Mining market refers to the sector of the mining industry dedicated to the exploration, extraction, refining, and commercialization of gold. Gold mining involves various processes, from prospecting and geological assessments to the extraction of gold-bearing ores and the subsequent processing of extracted materials to obtain refined gold. Market is fuled by technological advancements in exploration and extraction and rising demand for gold ...

  4. T

    United States Fed Funds Interest Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 19, 2025
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    TRADING ECONOMICS (2025). United States Fed Funds Interest Rate [Dataset]. https://tradingeconomics.com/united-states/interest-rate
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset updated
    Nov 19, 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
    Aug 4, 1971 - Oct 29, 2025
    Area covered
    United States
    Description

    The benchmark interest rate in the United States was last recorded at 4 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.

  5. T

    Japan Interest Rate

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 30, 2025
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    TRADING ECONOMICS (2025). Japan Interest Rate [Dataset]. https://tradingeconomics.com/japan/interest-rate
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Oct 30, 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 2, 1972 - Oct 30, 2025
    Area covered
    Japan
    Description

    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.

  6. T

    Turkey Interest Rate

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 23, 2025
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    TRADING ECONOMICS (2025). Turkey Interest Rate [Dataset]. https://tradingeconomics.com/turkey/interest-rate
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Oct 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
    Jan 2, 1990 - Oct 23, 2025
    Area covered
    Türkiye
    Description

    The benchmark interest rate in Turkey was last recorded at 39.50 percent. This dataset provides the latest reported value for - Turkey Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  7. T

    Pakistan Interest Rate

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Sep 15, 2025
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    TRADING ECONOMICS (2025). Pakistan Interest Rate [Dataset]. https://tradingeconomics.com/pakistan/interest-rate
    Explore at:
    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Sep 15, 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 3, 1992 - Oct 27, 2025
    Area covered
    Pakistan
    Description

    The benchmark interest rate in Pakistan was last recorded at 11 percent. This dataset provides - Pakistan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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Ayan Mukherjee (2024). Price and Withdrawals of Natural Gas [Dataset]. https://www.kaggle.com/datasets/ayan2002/price-and-withdrawals-of-natural-gas/data
Organization logo

Price and Withdrawals of Natural Gas

Price depending upon different parameters of natural gas.

Explore at:
zip(903114 bytes)Available download formats
Dataset updated
Oct 3, 2024
Authors
Ayan Mukherjee
Description

Title: Natural Gas Price Determinants: A Comprehensive Dataset

Description: This dataset provides a rich and detailed exploration of various factors influencing natural gas prices, offering valuable insights for researchers, analysts, and policymakers. The data is sourced from AEMO (Australian Energy Market Operator), ensuring the highest level of accuracy and reliability.

Key Features: Comprehensive Parameter Coverage: The dataset includes a wide range of variables relevant to natural gas pricing, such as: Supply Factors: Gas production rates, storage levels, and pipeline capacities. * Demand Factors: Consumption patterns, industrial usage, and residential demand. * Economic Indicators: GDP growth, inflation rates, and consumer confidence. * Weather Conditions: Temperature variations, precipitation, and extreme weather events. * Geopolitical Factors: International conflicts, trade policies, and regulatory changes. * Time Series Data: The dataset spans multiple years, allowing for in-depth analysis of price trends, seasonality, and long-term correlations. * Granular Level of Detail: Data is provided at a granular level, enabling detailed examination of price fluctuations across different regions and time periods. * Clean and Standardized Format: The dataset is carefully curated and standardized to ensure data quality and consistency.

Potential Use Cases:

  • Price Forecasting: Researchers can develop accurate models to predict future natural gas prices based on historical data and identified trends.
  • Risk Assessment: Analysts can assess the impact of various factors on price volatility and identify potential risks for market participants.
  • Policy Analysis: Policymakers can evaluate the effectiveness of different regulatory measures and pricing strategies.
  • Investment Decisions: Investors can make informed decisions about investments in the natural gas sector by understanding the underlying drivers of price fluctuations.

Dataset Format:

  • CSV: The dataset will be provided in a CSV format for easy import and analysis using popular data science tools.

Acknowledgements:

We would like to thank AEMO for providing the data and supporting this research.

Keywords: natural gas, price, determinants, factors, AEMO, dataset, analysis, forecasting, risk, policy, investment.

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