Graph and download economic data for Economic Policy Uncertainty Index for United States (USEPUINDXD) from 1985-01-01 to 2025-03-21 about uncertainty, academic data, indexes, and USA.

In 2020, almost half of Americans believed that cash or money markets funds were the best financial defense against economic uncertainty. Only eight percent of Americans thought that index funds were good at providing necessary financial security. The COVID-19 pandemic has caused significant uncertainty and volatility across the global economy, and the majority of adults were uncertain about their country's ability to recover as of April 2020.

Key information about United States Categorical Economic Policy Uncertainty Index: United States

• United States Categorical Economic Policy Uncertainty Index was reported at 313.268 Index in Feb 2025.
• This records an increase from the previous number of 236.696 Index for Jan 2025.
• US Categorical Economic Policy Uncertainty Index data is updated monthly, averaging 93.847 Index from Jan 1985 to Feb 2025, with 482 observations.
• The data reached an all-time high of 503.012 Index in Apr 2020 and a record low of 37.266 Index in Jul 2007.
• US Categorical Economic Policy Uncertainty Index data remains active status in CEIC and is reported by Economic Policy Uncertainty.
• The data is categorized under World Trend Plus’s Economic Policy Uncertainty Index – Table: Categorical Economic Policy Uncertainty Index: By Country.

United States - Equity Market-related Economic Uncertainty was 200.36000 Index in February of 2022, according to the United States Federal Reserve. Historically, United States - Equity Market-related Economic Uncertainty reached a record high of 3023.89000 in October of 1987 and a record low of 4.80000 in May of 2010. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Equity Market-related Economic Uncertainty - last updated from the United States Federal Reserve on March of 2025.

The Global Economic Policy Uncertainty (GEPU) index was at its highest in May 2020, when the COVID-19 pandemic brought global economic uncertainty. The index was also high after the Russian invasion of Ukraine in February 2022. Moreover, the index rose sharply in November 2024 after Donald Trump was re-elected as President of the United States. Trump promised to impose trade tariffs against a range of countries, and did so against Canada, Mexico, and China in February 2024. The GEPU index is constructed by measuring how often the leading newspapers mention economic policy uncertainty in their articles.

Graph and download economic data for Equity Market-related Economic Uncertainty Index (WLEMUINDXD) from 1985-01-01 to 2025-03-10 about uncertainty, academic data, equity, stock market, and indexes.

Realized Sales Growth: 90th Percentile data was reported at 16.514 % in Feb 2025. This records an increase from the previous number of 12.207 % for Jan 2025. Realized Sales Growth: 90th Percentile data is updated monthly, averaging 17.975 % from Sep 2016 (Median) to Feb 2025, with 102 observations. The data reached an all-time high of 43.137 % in May 2021 and a record low of 9.524 % in Jun 2020. Realized Sales Growth: 90th Percentile data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.S015: Business Uncertainty Index.

Sales Reallocation: 24 Months data was reported at 7.117 % in Feb 2025. This records an increase from the previous number of 4.094 % for Jan 2025. Sales Reallocation: 24 Months data is updated monthly, averaging 5.034 % from Sep 2016 (Median) to Feb 2025, with 102 observations. The data reached an all-time high of 14.142 % in Jan 2021 and a record low of 0.874 % in Oct 2018. Sales Reallocation: 24 Months data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.S015: Business Uncertainty Index.

Realized Employment Growth data was reported at 0.790 % in Feb 2025. This records a decrease from the previous number of 1.837 % for Jan 2025. Realized Employment Growth data is updated monthly, averaging 2.571 % from Sep 2016 (Median) to Feb 2025, with 102 observations. The data reached an all-time high of 6.223 % in Nov 2018 and a record low of -7.432 % in May 2020. Realized Employment Growth data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.S015: Business Uncertainty Index.

Economic Policy Uncertainty and Recession Probabilities, Academic Data dataset contains the series for the following categories Recession Probabilities, Economic Policy Uncertainty

Graph and download economic data for JLN 1-Month Ahead Macroeconomic Uncertainty (JLNUM1M) from Jul 1960 to Dec 2024 about 1-month, uncertainty, and USA.

China’s export benefits from the significant fiscal stimulus in the United States. This paper analyzes the global spillover effect of the American economy on China’s macro-economy using the Markov Chain Monte Carlo (MCMC)-Gibbs sampling approach, with the goal of improving the ability of China’s financial system to protect against foreign threats. This paper examines the theories of the consequences of uncertainty on macroeconomics first. Then, using medium-sized economic and financial data, the uncertainty index of the American and Chinese economies is built. In order to complete the test and analysis of the dynamic relationship between American economic uncertainty and China’s macro-economy, a Time Varying Parameter-Stochastic Volatility-Vector Autoregression (TVP- VAR) model with random volatility is constructed. The model is estimated using the Gibbs sampling method based on MCMC. For the empirical analysis, samples of China’s and the United States’ economic data from January 2001 to January 2022 were taken from the WIND database and the FRED database, respectively. The data reveal that there are typically fewer than 5 erroneous components in the most estimated parameters of the MCMC model, which suggests that the model’s sampling results are good. China’s pricing level reacted to the consequences of the unpredictability of the American economy by steadily declining, reaching its lowest point during the financial crisis in 2009, and then gradually diminishing. After 2012, the greatest probability density range of 68% is extremely wide and contains 0, indicating that the impact of economic uncertainty in the United States on China’s pricing level is no longer significant. China should therefore focus on creating a community of destiny by working with nations that have economic cooperation to lower systemic financial risks and guarantee the stability of the capital market.

Job Reallocation: 24 Months data was reported at 6.945 % in Feb 2025. This records an increase from the previous number of 5.115 % for Jan 2025. Job Reallocation: 24 Months data is updated monthly, averaging 5.293 % from Sep 2016 (Median) to Feb 2025, with 102 observations. The data reached an all-time high of 9.665 % in Sep 2016 and a record low of 1.929 % in Mar 2019. Job Reallocation: 24 Months data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.S015: Business Uncertainty Index.

Gold prices hit a record high above $3,050 per ounce due to economic forecasts and Federal Reserve policy decisions, making gold an attractive investment amid rising inflation and declining US dollar and Treasury yields.

This data is mainly used to analyze the risk correlation among economic uncertainly,geopolitical risk and energy price,and can also be applied to the TVP-VAR model to analyze the correlation between different variables using the time-varying parameter model,which has great potential for reuse. The risk relationship between economic uncertainly.At the same time,since it is macroeconomic data,it does not involve any moral and ethical issues.

Recent efforts by Baker, Bloom, and Davis (2013) make it possible to evaluate whether changes in economic policy uncertainty have any bearing on the actions taken by political officials. This current project assesses whether economic policy uncertainty in the United States compels the U.S. president to increase the linguistic and substantive simplicity of public remarks. In an attempt to either decrease rising economic policy uncertainty, or stop the occurrence of economic policy uncertainty altogether, the president can choose to discuss issues in a very simple way. Time series analyses of monthly information spanning between 1993 and 2013 indicate that an increase in the economic policy uncertainty index results in an increase in presidential rhetorical simplicity. This provides an initial indication that the rhetorical strategy of linguistic and substantive simplicity employed by presidents can be shaped by economic conditions.

Explore the stability of gold prices amidst economic uncertainty in the U.S., despite slight dips and fluctuating market conditions.

Realized Sales Growth: 50th Percentile data was reported at 1.980 % in Feb 2025. This records a decrease from the previous number of 3.922 % for Jan 2025. Realized Sales Growth: 50th Percentile data is updated monthly, averaging 3.922 % from Sep 2016 (Median) to Feb 2025, with 102 observations. The data reached an all-time high of 11.587 % in Jul 2022 and a record low of -5.128 % in Nov 2020. Realized Sales Growth: 50th Percentile data remains active status in CEIC and is reported by Federal Reserve Bank of Atlanta. The data is categorized under Global Database’s United States – Table US.S015: Business Uncertainty Index.

Graph and download economic data for Equity Market Volatility Tracker: Competition Policy (EMVCOMPPOL) from Jan 1985 to Feb 2025 about volatility, uncertainty, equity, and USA.

Graph and download economic data for Equity Market Volatility Tracker: Macroeconomic News and Outlook: Broad Quantity Indicators (EMVMACROBROAD) from Jan 1985 to Feb 2025 about volatility, uncertainty, equity, broad, indexes, and USA.