Graph and download economic data for Equity Market Volatility Tracker: Macroeconomic News and Outlook: Interest Rates (EMVMACROINTEREST) from Jan 1985 to Oct 2025 about volatility, uncertainty, equity, interest rate, interest, rate, and USA.

U.S. Economic and Financial Dataset

Dataset Description

This dataset combines historical U.S. economic and financial indicators, spanning the last 50 years, to facilitate time series analysis and uncover patterns in macroeconomic trends. It is designed for exploring relationships between interest rates, inflation, economic growth, stock market performance, and industrial production.

Key Features

• Frequency: Monthly
• Time Period: Last 50 years from Nov-24
• Sources:
  • Federal Reserve Economic Data (FRED)
  • Yahoo Finance

Dataset Feature Description

1. Interest Rate (Interest_Rate):

   • The effective federal funds rate, representing the interest rate at which depository institutions trade federal funds overnight.

2. Inflation (Inflation):

   • The Consumer Price Index for All Urban Consumers, an indicator of inflation trends.

3. GDP (GDP):

   • Real GDP measures the inflation-adjusted value of goods and services produced in the U.S.

4. Unemployment Rate (Unemployment):

   • The percentage of the labor force that is unemployed and actively seeking work.

5. Stock Market Performance (S&P500):

   • Monthly average of the adjusted close price, representing stock market trends.

6. Industrial Production (Ind_Prod):

   • A measure of real output in the industrial sector, including manufacturing, mining, and utilities.

Dataset Statistics

1. Total Entries: 599
2. Columns: 6
3. Memory usage: 37.54 kB
4. Data types: float64

Feature Overview

• Columns:
  • Interest_Rate: Monthly Federal Funds Rate (%)
  • Inflation: CPI (All Urban Consumers, Index)
  • GDP: Real GDP (Billions of Chained 2012 Dollars)
  • Unemployment: Unemployment Rate (%)
  • Ind_Prod: Industrial Production Index (2017=100)
  • S&P500: Monthly Average of S&P 500 Adjusted Close Prices

Executive Summary

This project explores the interconnected dynamics of key macroeconomic indicators and financial market trends over the past 50 years, leveraging data from the Federal Reserve Economic Data (FRED) and Yahoo Finance. The dataset integrates critical variables such as the Federal Funds Rate, Inflation (CPI), Real GDP, Unemployment Rate, Industrial Production, and the S&P 500 Index, providing a holistic view of the U.S. economy and financial markets.

The analysis focuses on uncovering relationships between these variables through time-series visualization, correlation analysis, and trend decomposition. Key findings are included in the Insights section. This project serves as a robust resource for understanding long-term economic trends, policy impacts, and market behavior. It is particularly valuable for students, researchers, policymakers, and financial analysts seeking to connect macroeconomic theory with real-world data.

Potential Use Cases

• Economic Analysis: Examine relationships between interest rates, inflation, GDP, and unemployment.
• Stock Market Prediction: Study how macroeconomic indicators influence stock market trends.
• Time Series Modeling: Perform ARIMA, VAR, or other models to forecast economic trends.
• Cyclic Pattern Analysis: Identify how economic shocks and recoveries impact key indicators.

Snap of Power Analysis

https://github.com/user-attachments/assets/1b40e0ca-7d2e-4fbc-8cfd-df3f09e4fdb8">

To ensure sufficient power, the dataset covers last 50 years of monthly data i.e., around 600 entries.

Key Insights derived through EDA, time-series visualization, correlation analysis, and trend decomposition

• Interest Rate and Inflation Dynamics: The interest Rate and inflation exhibit an inverse relationship, especially during periods of aggressive monetary tightening by the Federal Reserve.
• Economic Growth and Market Performance: GDP growth and the S&P 500 Index show a positive correlation, reflecting how market performance often aligns with overall economic health.
• Labor Market and Industrial Output: Unemployment and industrial production demonstrate a strong inverse relationship. Higher industrial output is typically associated with lower unemployment
• Market Behavior During Economic Shocks: The S&P 500 experienced sharp declines during significant crises, such as the 2008 financial crash and the COVID-19 pandemic in 2020. These events also triggered increased unemployment and contractions in GDP, highlighting the interplay between markets and the broader economy.
• Correlation Highlights: S&P 500 and GDP have a strong positive correlation. Interest rates negatively correlate with GDP and inflation, reflecting monetary policy impacts. Unemployment is negatively correlated with industrial production but positively correlated with interest rates.

Link to GitHub Repo

https:/...

The Federal Reserve's balance sheet has undergone significant changes since 2007, reflecting its response to major economic crises. From a modest *** trillion U.S. dollars at the end of 2007, it ballooned to approximately **** trillion U.S. dollars by October 29, 2025. This dramatic expansion, particularly during the 2008 financial crisis and the COVID-19 pandemic—both of which resulted in negative annual GDP growth in the U.S.—showcases the Fed's crucial role in stabilizing the economy through expansionary monetary policies. Impact on inflation and interest rates The Fed's expansionary measures, while aimed at stimulating economic growth, have had notable effects on inflation and interest rates. Following the quantitative easing in 2020, inflation in the United States reached ***** percent in 2022, the highest since 1991. However, by August 2025, inflation had declined to *** percent. Concurrently, the Federal Reserve implemented a series of interest rate hikes, with the rate peaking at **** percent in August 2023, before the first rate cut since September 2021 occurred in September 2024. Financial implications for the Federal Reserve The expansion of the Fed's balance sheet and subsequent interest rate hikes have had significant financial implications. In 2024, the Fed reported a negative net income of ***** billion U.S. dollars, a stark contrast to the ***** billion U.S. dollars profit in 2022. This unprecedented shift was primarily due to rapidly rising interest rates, which caused the Fed's interest expenses to soar to over *** billion U.S. dollars in 2023. Despite this, the Fed's net interest income on securities acquired through open market operations reached a record high of ****** billion U.S. dollars in the same year.

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 worldwide stock-market decline on October 19 has increased uncertainty about future changes in employment and output both in the United States and abroad.Part of the reason for this uncertainty is that changes in the level of equity prices have been one of the best leading indicators of economic activity (Moore, 1980). In particular, the stockmarket decline may affect consumer spending and business purchases of plant and equipment.

I find that measures of consumer and business confidence respond to stock market surprises. My evidence points to a confidence channel from financial conditions to the real economy. By signaling strong future incomes and profits, high equity valuations boost consumer and business confidence, which in turn stimulates real spending today. These relationships highlight a risk that the recent stock market decline could sap confidence, with adverse effects on real activity.

An index that can be used to gauge broad financial conditions and assess how these conditions are related to future economic growth. The index is broadly consistent with how the FRB/US model generally relates key financial variables to economic activity. The index aggregates changes in seven financial variables: the federal funds rate, the 10-year Treasury yield, the 30-year fixed mortgage rate, the triple-B corporate bond yield, the Dow Jones total stock market index, the Zillow house price index, and the nominal broad dollar index using weights implied by the FRB/US model and other models in use at the Federal Reserve Board. These models relate households' spending and businesses' investment decisions to changes in short- and long-term interest rates, house and equity prices, and the exchange value of the dollar, among other factors. These financial variables are weighted using impulse response coefficients (dynamic multipliers) that quantify the cumulative effects of unanticipated permanent changes in each financial variable on real gross domestic product (GDP) growth over the subsequent year. The resulting index is named Financial Conditions Impulse on Growth (FCI-G). One appealing feature of the FCI-G is that its movements can be used to measure whether financial conditions have tightened or loosened, to summarize how changes in financial conditions are associated with real GDP growth over the following year, or both.

From 2003 to 2025, the central banks of the United States, United Kingdom, and European Union exhibited remarkably similar interest rate patterns, reflecting shared global economic conditions. In the early 2000s, rates were initially low to stimulate growth, then increased as economies showed signs of overheating prior to 2008. The financial crisis that year prompted sharp rate cuts to near-zero levels, which persisted for an extended period to support economic recovery. The COVID-19 pandemic in 2020 led to further rate reductions to historic lows, aiming to mitigate economic fallout. However, surging inflation in 2022 triggered a dramatic policy shift, with the Federal Reserve, Bank of England, and European Central Bank significantly raising rates to curb price pressures. As inflation stabilized in late 2023 and early 2024, the ECB and Bank of England initiated rate cuts by mid-2024. Moreover, the Federal Reserve also implemented its first cut in three years, with forecasts suggesting a gradual decrease in all major interest rates between 2025 and 2026. Divergent approaches within the European Union While the ECB sets a benchmark rate for the Eurozone, individual EU countries have adopted diverse strategies to address their unique economic circumstances. For instance, Hungary set the highest rate in the EU at 13 percent in September 2023, gradually reducing it to 6.5 percent by October 2024. In contrast, Sweden implemented more aggressive cuts, lowering its rate to 2.15 percent by October 2025, the lowest among EU members. These variations highlight the complex economic landscape that European central banks must navigate, balancing inflation control with economic growth support. Global context and future outlook The interest rate changes in major economies have had far-reaching effects on global financial markets. Government bond yields, for example, reflect these policy shifts and investor sentiment. As of October 2025, the United States had the highest 10-year government bond yield among developed economies at 4.09 percent, while Switzerland had the lowest at 0.27 percent. These rates serve as important benchmarks for borrowing costs and economic expectations worldwide.

The U.S. federal funds rate peaked in 2023 at its highest level since the 2007-08 financial crisis, reaching 5.33 percent by December 2023. A significant shift in monetary policy occurred in the second half of 2024, with the Federal Reserve implementing regular rate cuts. By December 2024, the rate had declined to 4.48 percent. What is a central bank rate? The federal funds rate determines the cost of overnight borrowing between banks, allowing them to maintain necessary cash reserves and ensure financial system liquidity. When this rate rises, banks become more inclined to hold rather than lend money, reducing the money supply. While this decreased lending slows economic activity, it helps control inflation by limiting the circulation of money in the economy. Historic perspective The federal funds rate historically follows cyclical patterns, falling during recessions and gradually rising during economic recoveries. Some central banks, notably the European Central Bank, went beyond traditional monetary policy by implementing both aggressive asset purchases and negative interest rates.

Jerome Powell FED Press Conference Transcripts Dataset

Dataset Overview

The most comprehensive collection of Jerome Powell's Federal Reserve press conference transcripts (2018-2025) - perfect for NLP, sentiment analysis, and financial market research!

This dataset contains clean, structured transcripts from every FOMC press conference where Jerome Powell spoke as Federal Reserve Chair, with automated name tagging and text cleaning for immediate use in machine learning projects, data analysis or research.

ML Project ideas:

• LLM fine tuning - Create a Jerome Powell LLM, and ask it what will the FED do
• Sentiment Analysis - How Powell's tone affects markets
• Topic Modeling - Key themes in Fed communications
• Named Entity Recognition - Financial figure identification
• Time Series Analysis - Policy evolution over time
• Predictive Modeling - Market reaction forecasting

📊 Dataset Statistics - Data Points: 50,000+ text segments - Time Coverage: 6+ years of Fed communications - Market Events: 3 major economic cycles - Policy Changes: 15+ interest rate decisions - Market Impact: $100+ billion in daily volatility

🔥 Community ideas:

1. "Powell Sentiment Index"

• Real-time Fed sentiment scoring
• Market Impact: Predict market reactions to Fed communications
• Social Sharing: Daily sentiment updates on Twitter/LinkedIn #### 2. "Fed Policy Predictor"
• Predict Fed decisions before they happen
• Accuracy: Historical prediction validation
• Engagement: Weekly prediction contests #### 3. "Powell Word Cloud Generator" ☁️
• Visual representation of Fed priorities
• Interactive: Real-time word cloud updates
• Shareable: Perfect for social media #### 4. "Market Reaction Analyzer" Quantify Powell's market impact
• Real-time: Live analysis during press conferences
• Trading: Identify profitable trading opportunities

Author: Jonathan Paserman

Over the past ten years, the Federal Open Market Committee (FOMC) has repeatedly emphasized that future policy is data dependent. In this Economic Commentary , we investigate how financial markets expected future interest rates to change with the release of new data on inflation and labor market conditions. We find that the surprises in economic indicators have a stronger effect on the 2-year Treasury yield than on the expected federal funds rate to be set in the next FOMC meeting. This implies that markets understand that under the data-dependent approach, policy decisions do not heavily rely on the most recent data or short-run fluctuations, but, rather, rely more on the persistent trend of the economy. In addition, we observe that expected future interest rates have become more sensitive to surprises in inflation after 2022, suggesting that the FOMC’s determination to reduce inflation has been well-understood by the markets.

The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics.

Graph and download economic data for Equity Market Volatility Tracker: Macroeconomic News and Outlook: Inflation (EMVMACROINFLATION) from Jan 1985 to Nov 2025 about volatility, uncertainty, equity, inflation, and USA.

The Federal Reserve implements its monetary policy by using open market operations in United States government securities to target the federal funds rate. A substantial decline in the stock of United States Treasury debt could interfere with the conduct of monetary policy, possibly forcing the Fed to rely more heavily on discount window lending or to conduct open market transactions in other types of securities. Either choice would cause the implementation of monetary policy to resemble the methods used by the Fed before World War II. This paper describes two things: (1) how the Fed implemented monetary policy before the war and (2) the conflicts that arose within the Fed over the allocation of private-sector credit when discount window loans and Fed purchases of private securities were a substantial component of Federal Reserve credit. Those conflicts help explain the Fed's failure to respond vigorously to the Great Depression. The experience suggests that a renewed reliance on the discount window or on open market operations in securities other than those issued by the United States Treasury could hamper the conduct of monetary policy if it leads to increased pressure on the Fed to affect the allocation of credit.

Sharp economic volatility, the continued effects of high interest rates and mixed sentiment among investors created an uneven landscape for stock and commodity exchanges. While trading volumes soared in 2020 due to the pandemic and favorable financial conditions, such as zero percent interest rates from the Federal Reserve, the continued effects of high inflation in 2022 and 2023 resulted in a hawkish pivot on interest rates, which curtailed ROIs across major equity markets. Geopolitical volatility amid the Ukraine-Russia and Israel-Hamas wars further exacerbated trade volatility, as many investors pivoted away from traditional equity markets into derivative markets, such as options and futures to better hedge on their investment. Nonetheless, the continued digitalization of trading markets bolstered exchanges, as they were able to facilitate improved client service and stronger market insights for interested investors. Revenue grew an annualized 0.1% to an estimated $20.9 billion over the past five years, including an estimated 1.9% boost in 2025. A core development for exchanges has been the growth of derivative trades, which has facilitated a significant market niche for investors. Heightened options trading and growing attraction to agricultural commodities strengthened service diversification among exchanges. Major companies, such as CME Group Inc., introduced new tradeable food commodities for investors in 2024, further diversifying how clients engage in trades. These trends, coupled with strengthened corporate profit growth, bolstered exchanges’ profit. Despite current uncertainty with interest rates and the pervasive fear over a future recession, the industry is expected to do well during the outlook period. Strong economic conditions will reduce investor uncertainty and increase corporate profit, uplifting investment into the stock market and boosting revenue. Greater levels of research and development will expand the scope of stocks offered because new companies will spring up via IPOs, benefiting exchange demand. Nonetheless, continued threat from substitutes such as electronic communication networks (ECNs) will curtail larger growth, as better technology will enable investors to start trading independently, but effective use of electronic platforms by incumbent exchange giants such as NASDAQ Inc. can help stem this decline by offering faster processing via electronic trade floors and prioritizing client support. Overall, revenue is expected to grow an annualized 3.5% to an estimated $24.8 billion through the end of 2031.

This dataset includes various economic indicators such as stock market performance, inflation rates, GDP, interest rates, employment data, and housing index, all of which are crucial for understanding the state of the economy. By analysing this dataset, one can gain insights into the causes and effects of past recessions in the US, which can inform investment decisions and policy-making.

There are 20 columns and 343 rows spanning 1990-04 to 2022-10

The columns are:

1. Price: Price column refers to the S&P 500 lot price over the years. The S&P 500 is a stock market index that measures the performance of 500 large companies listed on stock exchanges in the United States. This variable represents the value of the S&P 500 index from 1980 to present. Industrial Production: This variable measures the output of industrial establishments in the manufacturing, mining, and utilities sectors. It reflects the overall health of the manufacturing industry, which is a key component of the US economy.

2. INDPRO: Industrial production measures the output of the manufacturing, mining, and utility sectors of the economy. It provides insights into the overall health of the economy, as a decline in industrial production can indicate a slowdown in economic activity. This data can be used by policymakers and investors to assess the state of the economy and make informed decisions.

3. CPI: CPI stands for Consumer Price Index, which measures the change in the prices of a basket of goods and services that consumers purchase. CPI inflation represents the rate at which the prices of goods and services in the economy are increasing.

4. Treasure Bill rate (3 month to 30 Years): Treasury bills (T-bills) are short-term debt securities issued by the US government. This variable represents the interest rates on T-bills with maturities ranging from 3 months to 30 years. It reflects the cost of borrowing money for the government and provides an indication of the overall level of interest rates in the economy.

5. GDP: GDP stands for Gross Domestic Product, which is the value of all goods and services produced in a country. This dataset is taking into account only the Nominal GDP values. Nominal GDP represents the total value of goods and services produced in the US economy without accounting for inflation.

6. Rate: The Federal Funds Rate is the interest rate at which depository institutions lend reserve balances to other depository institutions overnight. It is set by the Federal Reserve and is used as a tool to regulate the money supply in the economy.

7. BBK_Index: The BBKI are maintained and produced by the Indiana Business Research Center at the Kelley School of Business at Indiana University. The BBK Coincident and Leading Indexes and Monthly GDP Growth for the U.S. are constructed from a collapsed dynamic factor analysis of a panel of 490 monthly measures of real economic activity and quarterly real GDP growth. The BBK Leading Index is the leading subcomponent of the cycle measured in standard deviation units from trend real GDP growth.

8. Housing Index: This variable represents the value of the housing market in the US. It is calculated based on the prices of homes sold in the market and provides an indication of the overall health of the housing market.

9. Recession binary column: This variable is a binary indicator that takes a value of 1 when the US economy is in a recession and 0 otherwise. It is based on the official business cycle dates provided by the National Bureau of Economic Research.

The Federal Open Market Committee (FOMC) has maintained an accommodative monetary policy ever since the 2007 recession, and some financial market participants are concerned that long-term interest rates may increase more than should be expected when the Committee starts to tighten. But a look at five historical episodes of monetary policy tightening suggests that such an outcome is more likely when markets are surprised by policy actions or economic developments. Given the Fed’s new policy tools, especially its evolution toward more transparent communications, the odds of a surprise are far less likely now.

This poll, conducted May 19-21, 1998, is part of a continuing series of monthly surveys that solicit public opinion on the presidency and on a range of other political and social issues. Respondents were asked for their opinions of President Bill Clinton and his handling of the presidency, foreign policy, and the economy, as well as their views on the United States Congress, Speaker of the House Newt Gingrich, Vice President Al Gore, Federal Reserve Board Chairman Alan Greenspan, Microsoft CEO Bill Gates, former President George Bush, former First Lady Barbara Bush, Texas Governor George W. Bush, and 1996 Florida gubernatorial candidate Jeb Bush. Those queried were asked a series of questions relating to the stock market and the Asian financial crisis, such as their impact on the respondent and on the United States economy. Related topics concerned respondents' investment management and sources of information on investments, including the Internet, and the respondents' opinions on the future of technology and automobile stocks. Respondents were also asked about their feelings toward different countries, especially India and Pakistan. A series of questions addressed the recent testing of nuclear bombs by India, including the importance of India's actions to the interests of the United States, possible United States responses, the possibility of Pakistan's conducting similar tests, and the likelihood of nuclear war in the next 15 years. Additional topics covered the November 1998 congressional elections, the anti-trust case brought by the United States government and 20 states against Microsoft, the Whitewater and Monica Lewinsky investigations involving President Clinton, computer access, electronic mail, and on-line polling. Background information on respondents includes age, race, ethnicity, sex, education, religion, family income, political party, political orientation, voter registration and participation history, age of children in household, stock market investments, and retirement savings plans.

abstract The Covid-19 crisis reinforced and consolidated a template for global monetary cooperation, aiming to keep the international financial markets functioning. At the core of the monetary system, the legal design for cooperation has changed substantially: from the central role of multilateral organizations responsible for organizing collective actions (such as the International Monetary Fund - IMF), to more flexible contractual arrangements, formalized by a network of Central Bank swaps. The management of the Covid-19 monetary impacts reveals a new Bretton Woods moment, organized in novel political and legal terms. This article argues that Law has an explanatory and constitutive role in this substantial development. The US dollar, as a global currency, is structured by a specific type of contract, the eurodollar. In times of crisis, this contract requires an international lender of last resort that provides unlimited financial support to the currency’s global uses. Only a financial institution organized as a central bank has the legal and economic capacity to perform this role - not a multilateral fund. The hierarchical network of Central Bank swaps, with the American Central Bank (the Federal Reserve - Fed) at the top, was the legal arrangement structured to support the functioning of the global financial market and its currency par excellence, the eurodollar.

Graph and download economic data for Real-time Sahm Rule Recession Indicator (SAHMREALTIME) from Dec 1959 to Sep 2025 about recession indicators, academic data, and USA.