United States - FOMC Summary of Economic Projections for the Growth Rate of Real Gross Domestic Product, Range, Midpoint was 1.55000 Fourth Qtr. to Fourth Qtr. % Chg. in January of 2027, according to the United States Federal Reserve. Historically, United States - FOMC Summary of Economic Projections for the Growth Rate of Real Gross Domestic Product, Range, Midpoint reached a record high of 5.55000 in January of 2021 and a record low of -2.15000 in January of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - FOMC Summary of Economic Projections for the Growth Rate of Real Gross Domestic Product, Range, Midpoint - last updated from the United States Federal Reserve on June of 2025.

Graph and download economic data for FOMC Summary of Economic Projections for the Fed Funds Rate, Median (FEDTARMD) from 2025 to 2027 about projection, federal, median, rate, and USA.

Label Interpretation

LABEL_2: NeutralLABEL_1: HawkishLABEL_0: Dovish

  Citation and Contact Information





  Cite

Please cite our paper if you use any code, data, or models. @inproceedings{shah-etal-2023-trillion, title = "Trillion Dollar Words: A New Financial Dataset, Task {&} Market Analysis", author = "Shah, Agam and Paturi, Suvan and Chava, Sudheer", booktitle = "Proceedings of the 61st Annual Meeting of the Association for… See the full description on the dataset page: https://huggingface.co/datasets/gtfintechlab/fomc_communication.

The benchmark interest rate in the United States was last recorded at 4.50 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.

FOMC Meeting Policy Statements Dataset (Year 2000+, updated monthly)

  Overview

This dataset contains the policy statements released by the Federal Open Market Committee (FOMC) following each of its meetings from year 2000 onwords. The FOMC, a component of the U.S. Federal Reserve System, determines monetary policy in the United States. The statements provide insights into the committee’s policy decisions, economic outlook, and forward guidance.

  Background on Policy… See the full description on the dataset page: https://huggingface.co/datasets/Coding-Fish/fomc-statements.

United States - FOMC Summary of Economic Projections for the Fed Funds Rate, Median was 3.10% in January of 2027, according to the United States Federal Reserve. Historically, United States - FOMC Summary of Economic Projections for the Fed Funds Rate, Median reached a record high of 5.40 in January of 2023 and a record low of 0.10 in January of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - FOMC Summary of Economic Projections for the Fed Funds Rate, Median - last updated from the United States Federal Reserve on June of 2025.

Dataset adapted from original work by Shah et al.

  About Dataset

The dataset is a collection of sentences from FOMC speeches, meeting minutes and press releases (see corresponding paper). A subset of the data has been manually annotated as hawkish, dovish, or neutral.

  Label mapping

LABEL 2: Neutral LABEL 1: Hawkish LABEL 0: Dovish

  Counterfactual generation split

Additionally, for counterfactual generation tasks, we add a custom split with target classes in… See the full description on the dataset page: https://huggingface.co/datasets/TextCEsInFinance/fomc-communication-counterfactual.

The Senior Loan Officer Opinion Survey on Bank Lending Practices (SLOOS) surveys up to 80 large domestic banks and 24 U.S. branches and agencies of foreign banks. The Federal Reserve generally conducts the survey quarterly, timing it so that results are available for the January/February, April/May, August, and October/November meetings of the Federal Open Market Committee (FOMC). The Federal Reserve occasionally conducts one or two additional surveys during the year. Questions cover changes in the standards and terms of the banks' lending and the state of business and household demand for loans. The survey often includes questions on other topics of current interest. The survey results are released on Mondays after the FOMC meeting.

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.

This dataset contains cross-sections of the last observed option quote for each strike of 17 underlyings 30 minutes before and after the Federal Open Market Committee (FOMC) announcement at 13:00 Chicago time (CT) on 18 March 2015. It is extracted from the confidential bulk CBOE OPRA data provided by the Options Price Reporting Authority (OPRA) and is employed to estimate the high-frequency risk-neutral density (RND) of the selected underlyings and examine the intraday changes in these RNDs following the FOMC announcement. This dataset underlies the empirical application on RND extraction of Andersen et al. (Journal of Financial Econometrics, 19(1), 128-177, 2021).

Buy and sell orders are aggregated at financial markets into limit order books (LOBs). Each asset has its own LOB. Our research will be the first project to combine the information in a stock's LOB with matching information in the LOBs for derivative option contracts. These derivative prices depend on the stock price, their variability through time (called volatility) and other contract inputs known to all traders. We will use empirical and mathematical methods to investigate the vast amount of information provided by integrated stock and derivative LOBs. This information will be processed to measure and predict risks associated with volatility, liquidity and price jumps. The results are expected to be of interest to market participants, regulators, financial exchanges, financial institutions employing research teams and data vendors. We will investigate how posted limit orders, i.e. offers to buy or to sell, contribute to volatility and how they can be used to measure current and future levels of volatility. Derivative prices explicitly provide volatility expectations (called implied volatility) and we will compare these with estimates obtained directly from changes in stock prices. We will discover how information is transmitted from option LOBs to stock LOBs (and vice versa) and thus identify the most up-to-date source of volatility expectations. Previous research has used transaction prices and the best buying and selling prices; we will innovate by using complete LOBs providing significantly more information. The liquidity of markets depends on supply and demand, which are revealed by LOBs. Each stock has many derivative contracts, some of which have relatively low liquidity. We will provide new insights into the microstructure of option markets by evaluating liquidity related to contract terms such as exercise prices and expiry dates. This will allow us to find robust ways to combine implied volatilities into representative volatility indices. We will identify those time periods when price jumps occur, these being periods when changes in prices are very large compared with normal time periods. We will then test methods for using stock and derivative LOBs to predict the occurrence of jumps. We will also model the dynamic interactions between different order types during a jump period. The success of our research depends on access to price information recorded very frequently. We will use databases which record all additions to and deletions from LOBs, matched with very precise timestamps. For stocks, we will use the LOBSTER database which constructs LOBs from NASDAQ prices. For derivatives, we will use the Options Price Reporting Authority (OPRA) database. Our research is the first to combine and investigate the information in these separate sources of LOBs.