97 datasets found
  1. f

    Correlation between inflation and policy rates.

    • plos.figshare.com
    xls
    Updated Dec 11, 2023
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    Tanweer Ul Islam; Dajeeha Ahmed (2023). Correlation between inflation and policy rates. [Dataset]. http://doi.org/10.1371/journal.pone.0295453.t003
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    xlsAvailable download formats
    Dataset updated
    Dec 11, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Tanweer Ul Islam; Dajeeha Ahmed
    License

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

    Description

    The enduring discourse regarding the effectiveness of interest rate policy in mitigating inflation within developing economies is characterized by the interplay of structural and supply-side determinants. Moreover, extant academic literature fails to resolve the direction of causality between inflation and interest rates. Nevertheless, the prevalent adoption of interest rate-based monetary policies in numerous developing economies raises a fundamental inquiry: What motivates central banks in these nations to consistently espouse this strategy? To address this inquiry, our study leverages wavelet transformation to dissect interest rate and inflation data across a spectrum of frequency scales. This innovative methodology paves the way for a meticulous exploration of the intricate causal interplay between these pivotal macroeconomic variables for twenty-two developing economies using monthly data from 1992 to 2022. Traditional literature on causality tends to focus on short- and long-run timescales, yet our study posits that numerous uncharted time and frequency scales exist between these extremes. These intermediate scales may wield substantial influence over the causal relationship and its direction. Our research thus extends the boundaries of existing causality literature and presents fresh insights into the complexities of monetary policy in developing economies. Traditional wisdom suggests that central banks should raise interest rates to combat inflation. However, our study uncovers a contrasting reality in developing economies. It demonstrates a positive causal link between the policy rate and inflation, where an increase in the central bank’s interest rates leads to an upsurge in price levels. Paradoxically, in response to escalating prices, the central bank continues to heighten the policy rate, thereby perpetuating this cyclical pattern. Given this observed positive causal relationship in developing economies, central banks must explore structural and supply-side factors to break this cycle and regain control over inflation.

  2. Monthly inflation rate and Federal Reserve interest rate in the U.S....

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). Monthly inflation rate and Federal Reserve interest rate in the U.S. 2018-2025 [Dataset]. https://www.statista.com/statistics/1312060/us-inflation-rate-federal-reserve-interest-rate-monthly/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Mar 2024
    Area covered
    United States
    Description

    The inflation rate in the United States declined significantly between June 2022 and May 2025, despite rising inflationary pressures towards the end of 2024. The peak inflation rate was recorded in June 2022, at *** percent. In August 2023, the Federal Reserve's interest rate hit its highest level during the observed period, at **** percent, and remained unchanged until September 2024, when the Federal Reserve implemented its first rate cut since September 2021. By January 2025, the rate dropped to **** percent, signalling a shift in monetary policy. What is the Federal Reserve interest rate? The Federal Reserve interest rate, or the federal funds rate, is the rate at which banks and credit unions lend to and borrow from each other. It is one of the Federal Reserve's key tools for maintaining strong employment rates, stable prices, and reasonable interest rates. The rate is determined by the Federal Reserve and adjusted eight times a year, though it can be changed through emergency meetings during times of crisis. The Fed doesn't directly control the interest rate but sets a target rate. It then uses open market operations to influence rates toward this target. Ways of measuring inflation Inflation is typically measured using several methods, with the most common being the Consumer Price Index (CPI). The CPI tracks the price of a fixed basket of goods and services over time, providing a measure of the price changes consumers face. At the end of 2023, the CPI in the United States was ****** percent, up from ****** a year earlier. A more business-focused measure is the producer price index (PPI), which represents the costs of firms.

  3. k

    What is the relationship between unemployment and inflation? (Forecast)

    • kappasignal.com
    Updated Dec 21, 2023
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    KappaSignal (2023). What is the relationship between unemployment and inflation? (Forecast) [Dataset]. https://www.kappasignal.com/2023/12/what-is-relationship-between.html
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    Dataset updated
    Dec 21, 2023
    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.

    What is the relationship between unemployment and inflation?

    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

  4. F

    10-Year Real Interest Rate

    • fred.stlouisfed.org
    json
    Updated Jun 11, 2025
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    (2025). 10-Year Real Interest Rate [Dataset]. https://fred.stlouisfed.org/series/REAINTRATREARAT10Y
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 11, 2025
    License

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

    Description

    Graph and download economic data for 10-Year Real Interest Rate (REAINTRATREARAT10Y) from Jan 1982 to Jun 2025 about 10-year, interest rate, interest, real, rate, and USA.

  5. F

    Treasury Long-Term Average (Over 10 Years), Inflation-Indexed

    • fred.stlouisfed.org
    json
    Updated Jun 27, 2025
    + more versions
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    (2025). Treasury Long-Term Average (Over 10 Years), Inflation-Indexed [Dataset]. https://fred.stlouisfed.org/series/DLTIIT
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    jsonAvailable download formats
    Dataset updated
    Jun 27, 2025
    License

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

    Description

    Graph and download economic data for Treasury Long-Term Average (Over 10 Years), Inflation-Indexed (DLTIIT) from 2000-01-03 to 2025-06-26 about TIPS, long-term, Treasury, yield, interest rate, interest, real, rate, and USA.

  6. Monthly real vs. nominal interest rates and inflation rate for the U.S....

    • statista.com
    • ai-chatbox.pro
    Updated Jan 3, 2025
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    Statista (2025). Monthly real vs. nominal interest rates and inflation rate for the U.S. 1982-2024 [Dataset]. https://www.statista.com/statistics/1342636/real-nominal-interest-rate-us-inflation/
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    Dataset updated
    Jan 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1982 - Nov 2024
    Area covered
    United States
    Description

    Real interest rates describe the growth in the real value of the interest on a loan or deposit, adjusted for inflation. Nominal interest rates on the other hand show us the raw interest rate, which is unadjusted for inflation. If the inflation rate in a certain country were zero percent, the real and nominal interest rates would be the same number. As inflation reduces the real value of a loan, however, a positive inflation rate will mean that the nominal interest rate is more likely to be greater than the real interest rate. We can see this in the recent inflationary episode which has taken place in the wake of the Coronavirus pandemic, with nominal interest rates rising over the course of 2022, but still lagging far behind the rate of inflation, meaning these rate rises register as smaller increases in the real interest rate.

  7. f

    Decision of the hypothesis.

    • plos.figshare.com
    xls
    Updated Aug 8, 2024
    + more versions
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    Yang Shuang; Muhammad Waris; Muhammad Kashif Nawaz; Cheng Chan; Ijaz Younis (2024). Decision of the hypothesis. [Dataset]. http://doi.org/10.1371/journal.pone.0301829.t008
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Aug 8, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Yang Shuang; Muhammad Waris; Muhammad Kashif Nawaz; Cheng Chan; Ijaz Younis
    License

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

    Description

    Economic welfare is essential in the modern economy since it directly reflects the standard of living, distribution of resources, and general social satisfaction, which influences individual and social well-being. This study aims to explore the relationship between national income accounting different attributes and the economic welfare in Pakistan. However, this study used data from 1950 to 2022, and data was downloaded from the World Bank data portal. Regression analysis is used to investigate the relationship between them and is very effective in measuring the relationship between endogenous and exogenous variables. Moreover, generalized methods of movement (GMM) are used as the robustness of the regression. Our results show that foreign direct investment outflow, Gross domestic product growth rate, GDP per capita, higher Interest, market capitalization, and population growth have a significant negative on the unemployment rate, indicating the rise in these factors leads to a decrease in the employment rate in Pakistan. Trade and savings have a significant positive impact on the unemployment rate, indicating the rise in these factors leads to an increase in the unemployment rate for various reasons. Moreover, all the factors of national income accounting have a significant positive relationship with life expectancy, indicating that an increase in these factors leads to an increase in economic welfare and life expectancy due to better health facilities, many resources, and correct economic policies. However, foreign direct investment, inflation rate, lending interest rate, and population growth have significant positive effects on age dependency, indicating these factors increase the age dependency. Moreover, GDP growth and GDP per capita negatively impact age dependency. Similarly, all the national income accounting factors have a significant negative relationship with legal rights that leads to decreased legal rights. Moreover, due to better health facilities and health planning, there is a negative significant relationship between national income accounting attributes and motility rate among children. Our study advocated the implications for the policymakers and the government to make policies for the welfare and increase the social factors.

  8. Yield Curve Models and Data - TIPS Yield Curve and Inflation Compensation

    • catalog.data.gov
    Updated Dec 18, 2024
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    Board of Governors of the Federal Reserve System (2024). Yield Curve Models and Data - TIPS Yield Curve and Inflation Compensation [Dataset]. https://catalog.data.gov/dataset/yield-curve-models-and-data-tips-yield-curve-and-inflation-compensation
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    Dataset updated
    Dec 18, 2024
    Dataset provided by
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Description

    The yield curve, also called the term structure of interest rates, refers to the relationship between the remaining time-to-maturity of debt securities and the yield on those securities. Yield curves have many practical uses, including pricing of various fixed-income securities, and are closely watched by market participants and policymakers alike for potential clues about the markets perception of the path of the policy rate and the macroeconomic outlook. This page provides daily estimated real yield curve parameters, smoothed yields on hypothetical TIPS, and implied inflation compensation, from 1999 to the present. Because this is a staff research product and not an official statistical release, it is subject to delay, revision, or methodological changes without advance notice.

  9. F

    5-Year Breakeven Inflation Rate

    • fred.stlouisfed.org
    json
    Updated Jun 30, 2025
    + more versions
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    (2025). 5-Year Breakeven Inflation Rate [Dataset]. https://fred.stlouisfed.org/series/T5YIE
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 30, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-citation-requiredhttps://fred.stlouisfed.org/legal/#copyright-citation-required

    Description

    Graph and download economic data for 5-Year Breakeven Inflation Rate (T5YIE) from 2003-01-02 to 2025-06-30 about spread, interest rate, interest, 5-year, inflation, rate, and USA.

  10. m

    Impact of monetary policy instruments on the Colombian economy: An analysis...

    • data.mendeley.com
    Updated Oct 9, 2024
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    Edward Enrique Escobar-Quiñonez (2024). Impact of monetary policy instruments on the Colombian economy: An analysis of the classical dichotomy and monetary neutrality [Dataset]. http://doi.org/10.17632/rr4h8m666t.2
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    Dataset updated
    Oct 9, 2024
    Authors
    Edward Enrique Escobar-Quiñonez
    License

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

    Area covered
    Colombia
    Description

    This dataset supports the research exploring the impact of monetary policy instruments on the Colombian economy, focusing on the classical dichotomy and monetary neutrality. The analysis delves into how monetary policy, including instruments such as interest rates and money supply, influences both nominal and real variables in the economy. It also highlights the relationship between monetary policy and economic stability, particularly how central banks manage inflation and economic growth. Key sections explore the separation between nominal and real variables as explained by the classical dichotomy, and the principle of monetary neutrality, which argues that changes in money supply affect nominal variables without impacting real economic factors.

    The dataset is structured around a combination of theoretical insights and simulations that analyze the effectiveness of monetary neutrality in the Colombian context, given both domestic and international economic challenges such as the war in Ukraine and agricultural sector disruptions. Through simulations, the dataset demonstrates the effects of monetary expansion on variables like inflation, production, and employment, providing a framework for understanding current economic trends and proposing solutions to socio-economic challenges in Colombia.

  11. Monthly inflation rate and central bank interest rate in the UK 2018-2025

    • statista.com
    • ai-chatbox.pro
    Updated Jun 23, 2025
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    Statista (2025). Monthly inflation rate and central bank interest rate in the UK 2018-2025 [Dataset]. https://www.statista.com/statistics/1311945/uk-inflation-rate-central-bank-interest-rate-monthly/
    Explore at:
    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Apr 2025
    Area covered
    United Kingdom
    Description

    Between January 2018 and May 2025, the United Kingdom's consumer price inflation rate showed notable volatility. The rate hit its lowest point at *** percent in August 2020 and peaked at *** percent in October 2022. By September 2024, inflation had moderated to *** percent, but the following months saw inflation increase again. The Bank of England's interest rate policy closely tracked these inflationary trends. Rates remained low at -* percent until April 2020, when they were reduced to *** percent in response to economic challenges. A series of rate increases followed, reaching a peak of **** percent from August 2023 to July 2024. The central bank then initiated rate cuts in August and November 2024, lowering the rate to **** percent, signaling a potential shift in monetary policy. In February 2025, the Bank of England implemented another rate cut, setting the bank rate at *** percent, which was further reduced to **** percent in May 2025. Global context of inflation and interest rates The UK's experience reflects a broader international trend of rising inflation and subsequent central bank responses. From January 2022 to July 2024, advanced and emerging economies alike increased their policy rates to counter inflationary pressures. However, a shift began in late 2024, with many countries, including the UK, starting to lower rates. This change suggests a potential new phase in the global economic cycle and monetary policy approach. Comparison with other major economies The UK's monetary policy decisions align closely with those of other major economies. The United States, for instance, saw its federal funds rate peak at **** percent in August 2023, mirroring the UK's rate trajectory. Similarly, central bank rates in the EU all increased drastically between 2022 and 2024. These synchronized movements reflect the global nature of inflationary pressures and the coordinated efforts of central banks to maintain economic stability. As with the UK, both the U.S. and EU began considering rate cuts in late 2024, signaling a potential shift in the global economic landscape.

  12. T

    Russia Interest Rate

    • tradingeconomics.com
    • id.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 6, 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
    Jun 6, 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 - Jun 6, 2025
    Area covered
    Russia
    Description

    The benchmark interest rate in Russia was last recorded at 20 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.

  13. T

    Brazil Interest Rate

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 18, 2025
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    TRADING ECONOMICS (2025). Brazil Interest Rate [Dataset]. https://tradingeconomics.com/brazil/interest-rate
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    xml, json, csv, excelAvailable download formats
    Dataset updated
    Jun 18, 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 5, 1999 - Jun 18, 2025
    Area covered
    Brazil
    Description

    The benchmark interest rate in Brazil was last recorded at 15 percent. This dataset provides - Brazil Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  14. f

    Correlation matrix.

    • plos.figshare.com
    xls
    Updated Mar 29, 2024
    + more versions
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    Tasos Stylianou; Rakia Nasir; Muhammad Waqas (2024). Correlation matrix. [Dataset]. http://doi.org/10.1371/journal.pone.0301257.t002
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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.

  15. H

    Replication data for: Relative Goods' Prices and Pure Inflation

    • dataverse.harvard.edu
    Updated Dec 19, 2008
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    Harvard Dataverse (2008). Replication data for: Relative Goods' Prices and Pure Inflation [Dataset]. http://doi.org/10.7910/DVN/ZZCOBI
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    text/plain; charset=us-ascii(6641), xls(658432), text/plain; charset=us-ascii(1205), text/plain; charset=us-ascii(6887), text/plain; charset=us-ascii(2268), text/plain; charset=us-ascii(5203), text/plain; charset=us-ascii(10940), xls(165888), text/plain; charset=us-ascii(5955), xls(101888), text/plain; charset=us-ascii(4407), text/plain; charset=us-ascii(7769), text/plain; charset=us-ascii(6380), text/plain; charset=us-ascii(5956), text/plain; charset=us-ascii(5670), zip(1225398), text/plain; charset=us-ascii(2734), text/plain; charset=us-ascii(12358), text/plain; charset=us-ascii(7515), text/plain; charset=us-ascii(5483), text/plain; charset=us-ascii(6136), text/plain; charset=us-ascii(6582), txt(3712), text/plain; charset=us-ascii(2184), text/plain; charset=us-ascii(2976), text/plain; charset=us-ascii(6870), xls(62464), text/plain; charset=us-ascii(4504), text/plain; charset=us-ascii(5480), text/plain; charset=us-ascii(4040), text/plain; charset=us-ascii(5628), text/plain; charset=us-ascii(4409)Available download formats
    Dataset updated
    Dec 19, 2008
    Dataset provided by
    Harvard Dataverse
    License

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

    Description

    This paper uses a dynamic factor model for the quarterly changes in consumption goods’ prices to separate them into three components: idiosyncratic relative-price changes, aggregate relative-price changes, and changes in the unit of account. The model identifies a measure of “pure” inflation: the common component in goods’ inflation rates that has an equiproportional effect on all prices and is uncorrelated with relative price changes at all dates. The estimates of pure inflation and of the aggregate relative-price components allow us to re-examine three classic macro-correlations. First, we find that pure inflation accounts for 15-20% of the variability in overall inflation, so that most changes in inflation are associated with changes in goods’ relative prices. Second, we find that the Phillips correlation between inflation and measures of real activity essentially disappears once we control for goods’ relative-price changes. Third, we find that, at business-cycle frequencies, the correlation between inflation and money is close to zero, while the correlation with nominal interest rates is around 0.5, confirming previous findings on the link between monetary policy and inflation.

  16. T

    Japan Interest Rate

    • tradingeconomics.com
    • ru.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 25, 2025
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    TRADING ECONOMICS (2025). Japan Interest Rate [Dataset]. https://tradingeconomics.com/japan/interest-rate
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    excel, xml, json, csvAvailable download formats
    Dataset updated
    Jun 25, 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 - Jun 17, 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.

  17. T

    Thailand Interest Rate

    • tradingeconomics.com
    • sv.tradingeconomics.com
    • +14more
    csv, excel, json, xml
    Updated Jun 25, 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
    Jun 25, 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 - Jun 25, 2025
    Area covered
    Thailand
    Description

    The benchmark interest rate in Thailand was last recorded at 1.75 percent. This dataset provides - Thailand Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  18. Historical Exchange Rate Dataset USD To PKR

    • kaggle.com
    Updated Nov 30, 2023
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    Sami Ullah Baig (2023). Historical Exchange Rate Dataset USD To PKR [Dataset]. https://www.kaggle.com/datasets/samiullahbaig/currency-rate-usd-to-pkr-feb-1992-to-nov-2023/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 30, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Sami Ullah Baig
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    The dataset captures the dynamic fluctuations in the exchange rate between the United States Dollar (USD) and the Pakistani Rupee (PKR) over an extensive period, spanning from February 1992 to November 2023. This dataset is a valuable resource for analysts, economists, and researchers seeking to understand the historical trends, patterns, and factors influencing the USD to PKR exchange rate.

    Dataset Overview:

    Temporal Range: Start Date: February 1992 End Date: November 2023

    Frequency: Daily exchange rates

    Data Fields: Date: The date for each recorded exchange rate. USD to PKR Exchange Rate: The exchange rate indicating how much one USD is equivalent to in PKR on a given day. Change: Change between last price and today Price

    Key Insights and Potential Analysis Areas:

    Trend Analysis: Identify long-term trends in the exchange rate over the entire duration. Highlight periods of stability, volatility, or significant fluctuations.

    Seasonal Patterns: Explore if there are any recurring seasonal patterns influencing the exchange rate.

    Economic Events: Correlate major economic events, both global and domestic, with corresponding shifts in the exchange rate.

    Impact of Policies: Assess the impact of monetary and fiscal policies on the USD to PKR exchange rate.

    Currency Market Dynamics: Analyze how market dynamics, including demand and supply forces, influence the exchange rate.

    Inflation and Interest Rates: Examine the relationship between inflation rates, interest rates, and the exchange rate.

    Potential Applications:

    Investment Planning: Assist investors in making informed decisions based on historical exchange rate trends.

    Risk Management: Aid businesses in assessing and managing currency risk exposure.

    Economic Research: Facilitate research on the impact of economic indicators on exchange rates.

    Government Policy Evaluation: Provide insights for policymakers in evaluating the effectiveness of monetary and fiscal policies.

    Conclusion:

    This comprehensive USD to PKR exchange rate dataset offers a wealth of information for various stakeholders. Whether analyzing market trends, conducting economic research, or making strategic financial decisions, this dataset serves as a valuable tool for understanding the historical dynamics of the USD to PKR exchange rate over more than three decades.

  19. f

    ARDL results for the relation between national interest rates and inflation...

    • plos.figshare.com
    bin
    Updated Jun 2, 2023
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    Nadja Simone Menezes Nery de Oliveira; Paulo Reis Mourao (2023). ARDL results for the relation between national interest rates and inflation and output gap. [Dataset]. http://doi.org/10.1371/journal.pone.0259314.t004
    Explore at:
    binAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Nadja Simone Menezes Nery de Oliveira; Paulo Reis Mourao
    License

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

    Description

    ARDL results for the relation between national interest rates and inflation and output gap.

  20. U

    Inflation Data

    • dataverse.unc.edu
    • dataverse-staging.rdmc.unc.edu
    Updated Oct 9, 2022
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    UNC Dataverse (2022). Inflation Data [Dataset]. http://doi.org/10.15139/S3/QA4MPU
    Explore at:
    Dataset updated
    Oct 9, 2022
    Dataset provided by
    UNC Dataverse
    License

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

    Description

    This is not going to be an article or Op-Ed about Michael Jordan. Since 2009 we've been in the longest bull-market in history, that's 11 years and counting. However a few metrics like the stock market P/E, the call to put ratio and of course the Shiller P/E suggest a great crash is coming in-between the levels of 1929 and the dot.com bubble. Mean reversion historically is inevitable and the Fed's printing money experiment could end in disaster for the stock market in late 2021 or 2022. You can read Jeremy Grantham's Last Dance article here. You are likely well aware of Michael Burry's predicament as well. It's easier for you just to skim through two related videos on this topic of a stock market crash. Michael Burry's Warning see this YouTube. Jeremy Grantham's Warning See this YouTube. Typically when there is a major event in the world, there is a crash and then a bear market and a recovery that takes many many months. In March, 2020 that's not what we saw since the Fed did some astonishing things that means a liquidity sloth and the risk of a major inflation event. The pandemic represented the quickest decline of at least 30% in the history of the benchmark S&P 500, but the recovery was not correlated to anything but Fed intervention. Since the pandemic clearly isn't disappearing and many sectors such as travel, business travel, tourism and supply chain disruptions appear significantly disrupted - the so-called economic recovery isn't so great. And there's this little problem at the heart of global capitalism today, the stock market just keeps going up. Crashes and corrections typically occur frequently in a normal market. But the Fed liquidity and irresponsible printing of money is creating a scenario where normal behavior isn't occurring on the markets. According to data provided by market analytics firm Yardeni Research, the benchmark index has undergone 38 declines of at least 10% since the beginning of 1950. Since March, 2020 we've barely seen a down month. September, 2020 was flat-ish. The S&P 500 has more than doubled since those lows. Look at the angle of the curve: The S&P 500 was 735 at the low in 2009, so in this bull market alone it has gone up 6x in valuation. That's not a normal cycle and it could mean we are due for an epic correction. I have to agree with the analysts who claim that the long, long bull market since 2009 has finally matured into a fully-fledged epic bubble. There is a complacency, buy-the dip frenzy and general meme environment to what BigTech can do in such an environment. The weight of Apple, Amazon, Alphabet, Microsoft, Facebook, Nvidia and Tesla together in the S&P and Nasdaq is approach a ridiculous weighting. When these stocks are seen both as growth, value and companies with unbeatable moats the entire dynamics of the stock market begin to break down. Check out FANG during the pandemic. BigTech is Seen as Bullet-Proof me valuations and a hysterical speculative behavior leads to even higher highs, even as 2020 offered many younger people an on-ramp into investing for the first time. Some analysts at JP Morgan are even saying that until retail investors stop charging into stocks, markets probably don’t have too much to worry about. Hedge funds with payment for order flows can predict exactly how these retail investors are behaving and monetize them. PFOF might even have to be banned by the SEC. The risk-on market theoretically just keeps going up until the Fed raises interest rates, which could be in 2023! For some context, we're more than 1.4 years removed from the bear-market bottom of the coronavirus crash and haven't had even a 5% correction in nine months. This is the most over-priced the market has likely ever been. At the night of the dot-com bubble the S&P 500 was only 1,400. Today it is 4,500, not so many years after. Clearly something is not quite right if you look at history and the P/E ratios. A market pumped with liquidity produces higher earnings with historically low interest rates, it's an environment where dangerous things can occur. In late 1997, as the S&P 500 passed its previous 1929 peak of 21x earnings, that seemed like a lot, but nothing compared to today. For some context, the S&P 500 Shiller P/E closed last week at 38.58, which is nearly a two-decade high. It's also well over double the average Shiller P/E of 16.84, dating back 151 years. So the stock market is likely around 2x over-valued. Try to think rationally about what this means for valuations today and your favorite stock prices, what should they be in historical terms? The S&P 500 is up 31% in the past year. It will likely hit 5,000 before a correction given the amount of added liquidity to the system and the QE the Fed is using that's like a huge abuse of MMT, or Modern Monetary Theory. This has also lent to bubbles in the housing market, crypto and even commodities like Gold with long-term global GDP meeting many headwinds in the years ahead due to a demographic shift of an ageing population and significant technological automation. So if you think that stocks or equities or ETFs are the best place to put your money in 2022, you might want to think again. The crash of the OTC and small-cap market since February 2021 has been quite an indication of what a correction looks like. According to the Motley Fool what happens after major downturns in the market historically speaking? In each of the previous four instances that the S&P 500's Shiller P/E shot above and sustained 30, the index lost anywhere from 20% to 89% of its value. So what's what we too are due for, reversion to the mean will be realistically brutal after the Fed's hyper-extreme intervention has run its course. Of course what the Fed stimulus has really done is simply allowed the 1% to get a whole lot richer to the point of wealth inequality spiraling out of control in the decades ahead leading us likely to a dystopia in an unfair and unequal version of BigTech capitalism. This has also led to a trend of short squeeze to these tech stocks, as shown in recent years' data. Of course the Fed has to say that's its done all of these things for the people, employment numbers and the labor market. Women in the workplace have been set behind likely 15 years in social progress due to the pandemic and the Fed's response. While the 89% lost during the Great Depression would be virtually impossible today thanks to ongoing intervention from the Federal Reserve and Capitol Hill, a correction of 20% to 50% would be pretty fair and simply return the curve back to a normal trajectory as interest rates going back up eventually in the 2023 to 2025 period. It's very unlikely the market has taken Fed tapering into account (priced-in), since the euphoria of a can't miss market just keeps pushing the markets higher. But all good things must come to an end. Earlier this month, the U.S. Bureau of Labor Statistics released inflation data from July. This report showed that the Consumer Price Index for All Urban Consumers rose 5.2% over the past 12 months. While the Fed and economists promise us this inflation is temporary, others are not so certain. As you print so much money, the money you have is worth less and certain goods cost more. Wage gains in some industries cannot be taken back, they are permanent - in the service sector like restaurants, hospitality and travel that have been among the hardest hit. The pandemic has led to a paradigm shift in the future of work, and that too is not temporary. The Great Resignation means white collar jobs with be more WFM than ever before, with a new software revolution, different transport and energy behaviors and so forth. Climate change alone could slow down global GDP in the 21st century. How can inflation be temporary when so many trends don't appear to be temporary? Sure the price of lumber or used-cars could be temporary, but a global chip shortage is exasperating the automobile sector. The stock market isn't even behaving like it cares about anything other than the Fed, and its $billions of dollars of buying bonds each month. Some central banks will start to taper about December, 2021 (like the European). However Delta could further mutate into a variant that makes the first generation of vaccines less effective. Such a macro event could be enough to trigger the correction we've been speaking about. So stay safe, and keep your money safe. The Last Dance of the 2009 bull market could feel especially more painful because we've been spoiled for so long in the markets. We can barely remember what March, 2020 felt like. Some people sold their life savings simply due to scare tactics by the likes of Bill Ackman. His scare tactics on CNBC won him likely hundreds of millions as the stock market tanked. Hedge funds further gamed the Reddit and Gamestop movement, orchestrating them and leading the new retail investors into meme speculation and a whole bunch of other unsavory things like options trading at such scale we've never seen before. It's not just inflation and higher interest rates, it's how absurdly high valuations have become. Still correlation does not imply causation. Just because inflation has picked up, it doesn't guarantee that stocks will head lower. Nevertheless, weaker buying power associated with higher inflation can't be overlooked as a potential negative for the U.S. economy and equities. The current S&P500 10-year P/E Ratio is 38.7. This is 97% above the modern-era market average of 19.6, putting the current P/E 2.5 standard deviations above the modern-era average. This is just math, folks. History is saying the stock market is 2x its true value. So why and who would be full on the market or an asset class like crypto that is mostly speculative in nature to begin with? Study the following on a historical basis, and due your own due diligence as to the health of the markets: Debt-to-GDP ratio Call to put ratio

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Tanweer Ul Islam; Dajeeha Ahmed (2023). Correlation between inflation and policy rates. [Dataset]. http://doi.org/10.1371/journal.pone.0295453.t003

Correlation between inflation and policy rates.

Related Article
Explore at:
xlsAvailable download formats
Dataset updated
Dec 11, 2023
Dataset provided by
PLOS ONE
Authors
Tanweer Ul Islam; Dajeeha Ahmed
License

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

Description

The enduring discourse regarding the effectiveness of interest rate policy in mitigating inflation within developing economies is characterized by the interplay of structural and supply-side determinants. Moreover, extant academic literature fails to resolve the direction of causality between inflation and interest rates. Nevertheless, the prevalent adoption of interest rate-based monetary policies in numerous developing economies raises a fundamental inquiry: What motivates central banks in these nations to consistently espouse this strategy? To address this inquiry, our study leverages wavelet transformation to dissect interest rate and inflation data across a spectrum of frequency scales. This innovative methodology paves the way for a meticulous exploration of the intricate causal interplay between these pivotal macroeconomic variables for twenty-two developing economies using monthly data from 1992 to 2022. Traditional literature on causality tends to focus on short- and long-run timescales, yet our study posits that numerous uncharted time and frequency scales exist between these extremes. These intermediate scales may wield substantial influence over the causal relationship and its direction. Our research thus extends the boundaries of existing causality literature and presents fresh insights into the complexities of monetary policy in developing economies. Traditional wisdom suggests that central banks should raise interest rates to combat inflation. However, our study uncovers a contrasting reality in developing economies. It demonstrates a positive causal link between the policy rate and inflation, where an increase in the central bank’s interest rates leads to an upsurge in price levels. Paradoxically, in response to escalating prices, the central bank continues to heighten the policy rate, thereby perpetuating this cyclical pattern. Given this observed positive causal relationship in developing economies, central banks must explore structural and supply-side factors to break this cycle and regain control over inflation.

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