Effective Federal Funds Rate in the United States remained unchanged at 4.33 percent on Wednesday June 18. This dataset includes a chart with historical data for the United States Effective Federal Funds Rate.

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.

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.

The benchmark interest rate In the Euro Area was last recorded at 2.15 percent. This dataset provides - Euro Area Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in the United Kingdom was last recorded at 4.25 percent. This dataset provides - United Kingdom Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Real interest rates refer to the nominal interest rate adjusted for inflation, and are an important economic indicator that can have significant impacts on investment, savings, and overall economic growth. Real interest rates can affect the demand for goods and services, investment decisions, and borrowing costs, among other things.

The real interest rates per country dataset provides a comprehensive overview of the real interest rates of each country. The dataset includes information on the real interest rates, covering all countries in the world. It is compiled from various sources, including national central banks, international financial institutions such as the International Monetary Fund (IMF), and other relevant data sources.

The real interest rates per country dataset can be used by researchers, policymakers, and investors to gain insight into the economic conditions of different countries and to compare the relative levels of real interest rates across the world. It can also be used to monitor changes in real interest rates over time and to evaluate the effectiveness of monetary policies and strategies.

Overall, the real interest rates per country dataset is an important resource for understanding the economic conditions of different countries and for developing policies and strategies that promote sustainable economic growth and stability.

Graph and download economic data for Personal Saving Rate (PSAVERT) from Jan 1959 to May 2025 about savings, personal, rate, and USA.

Graph and download economic data for Bank Prime Loan Rate (DPRIME) from 1955-08-04 to 2025-06-26 about prime, loans, interest rate, banks, interest, depository institutions, rate, and USA.

The benchmark interest rate in Mexico was last recorded at 8 percent. This dataset provides - Mexico Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The benchmark interest rate in Turkey was last recorded at 46 percent. This dataset provides the latest reported value for - Turkey Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The benchmark interest rate in Vietnam was last recorded at 4.50 percent. This dataset provides the latest reported value for - Vietnam Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Graph and download economic data for Inflation, consumer prices for the United States (FPCPITOTLZGUSA) from 1960 to 2024 about consumer, CPI, inflation, price index, indexes, price, and USA.

A Dataset contains EoD data on government bond futures. The dataset includes variables such as:

Contract Prices: Opening, closing, high, and low prices of futures contracts. Trading Volume: The number of contracts traded over time. Open Interest: The total number of outstanding futures contracts. Maturity Dates: Information on when the underlying bonds are due to mature. Settlement Prices: Final prices at contract expiration for valuation and settlement purposes. This dataset helps investors, researchers, and analysts monitor trends, model bond market behaviors, and forecast economic indicators related to UK and German government debt markets.

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The benchmark interest rate in Canada was last recorded at 2.75 percent. This dataset provides - Canada Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Weekly updated dataset of HSBC mortgage products, detailing interest rates, LTVs, APRC values, and product fees.

View data of PCE, an index that measures monthly changes in the price of consumer goods and services as a means of analyzing inflation.

This dataset provides a comprehensive view of financial loan applications, integrating key features crucial for analytics and data modeling. It is structured into facts and dimensions, making it an ideal resource for building data warehouses or practicing advanced analytics techniques.

Dataset Highlights:

Loan ID: Purpose: Loan ID is a unique identifier assigned to each loan application or loan account. It serves as a primary key for tracking and managing individual loans. Use for Banks: Banks use Loan IDs to efficiently manage and track loans throughout their lifecycle. It aids in organizing loan records, monitoring repayments, and addressing customer inquiries.

Address State: Purpose: Address State indicates the borrower's location. It helps in assessing regional risk factors, compliance with state regulations, and estimating default probabilities. Use for Banks: Banks use this information to identify regional trends in loan demand, adjust marketing strategies, and manage risk portfolios based on geographic regions.

Employee Length: Purpose: Employee Length provides insights into the borrower's employment stability. Longer employment durations may indicate greater job security. Use for Banks: Banks consider employment length when assessing a borrower's ability to repay. Stable employment often translates to a lower default risk.

Employee Title: Purpose: Employee Title specifies the borrower's occupation or job title. It helps lenders understand the source of the borrower's income. Use for Banks: Banks use this field to verify income sources, assess the borrower's financial capacity, and tailor loan offers to different professions.

Grade: Purpose: Grade represents a risk classification assigned to the loan based on creditworthiness. Higher grades signify lower risk. Use for Banks: Banks use the grade to price loans and manage risk. Higher-grade loans typically receive lower interest rates and are more attractive to investors.

Sub Grade: Purpose: Sub Grade refines the risk assessment within a grade, providing additional risk differentiation. Use for Banks: Sub Grades offer a finer level of risk assessment, helping banks tailor interest rates and lending terms to match borrower risk profiles.

Home Ownership: Purpose: Home Ownership indicates the borrower's housing status. It offers insights into financial stability. Use for Banks: Banks use this field to assess collateral availability and borrower stability. Homeowners may have lower default rates.

Issue Date: Purpose: Issue Date marks the loan's origination date. It's crucial for loan tracking and maturity calculations. Use for Banks: Banks use Issue Dates to track loan aging, calculate interest accruals, and manage loan portfolios.

Last Credit Pull Date: Purpose: Last Credit Pull Date records when the borrower's credit report was last accessed. It helps monitor creditworthiness. Use for Banks: Banks use this date to track credit history updates, assess credit risk, and make informed lending decisions.

Last Payment Date: Purpose: Last Payment Date marks the most recent loan payment received. It tracks the borrower's payment history. Use for Banks: Banks use this date to assess payment behavior, calculate delinquency, and project future payments.

Loan Status: Purpose: Loan Status indicates the current state of the loan (e.g., fully paid, current, default). It tracks loan performance. Use for Banks: Banks use Loan Status to monitor loan health, categorize loans for risk analysis, and determine provisioning requirements.

Next Payment Date: Purpose: Next Payment Date estimates the date of the next loan payment. It assists in cash flow forecasting. Use for Banks: Banks use this date for liquidity planning and to project revenue from loan portfolios.

Purpose: Purpose: Purpose specifies the reason for the loan (e.g., debt consolidation, education). It helps understand borrower intentions. Use for Banks: Banks use this field to segment and customize loan offerings, aligning loan terms with borrower needs.

Term: Purpose: Term defines the duration of the loan in months. It sets the repayment period. Use for Banks: Banks use the term to structure loan agreements, calculate interest payments, and manage loan maturities.

Verification Status: Purpose: Verification Status indicates whether the borrower's financial information has been verified. It assesses data accuracy. Use for Banks: Banks use this field to gauge data reliability, verify income, and evaluate loan application credibility.

Annual Income: Purpose: Annual Income reflects the borrower's total yearly earnings. It assesses repayment capacity. Use for Banks: Banks use this income figure to determine loan eligibility, calculate debt-to-income ratios, and evaluate creditworthiness.

DTI (Debt-to-Income Ratio):...

The Consumer Price Index (CPI) is a key economic indicator used by policymakers worldwide to monitor inflation and guide monetary policy decisions. In Korea, the CPI significantly impacts decisions on interest rates, fiscal policy frameworks, and the Bank of Korea’s strategies for economic stability. Given its importance, accurately forecasting the Total CPI is crucial for informed decision-making. Achieving accurate estimation, however, presents several challenges. First, the Korean Total CPI is calculated as a weighted sum of 462 items grouped into 12 categories of goods and services. This heterogeneity makes it difficult to account for all variations in consumer behavior and price dynamics. Second, the monthly frequency of CPI data results in a relatively sparse time series, limiting the performance of the analysis. Furthermore, external factors such as policy changes and pandemics add further volatility to the CPI. To address these challenges, we propose a novel framework consisting of four key components: (1) a hybrid Convolutional Neural Network-Long Short-Term Memory mechanism designed to capture complex patterns in CPI data, enhancing estimation accuracy; (2) multivariate inputs that incorporate CPI component indices alongside auxiliary variables for richer contextual information; (3) data augmentation through linear interpolation to convert monthly data into daily data, optimizing it for highly parametrized deep learning models; and (4) sentiment index derived from Korean CPI-related news articles, providing insights into external factors influencing CPI fluctuations. Experimental results demonstrate that the proposed model outperforms existing approaches in CPI prediction, as evidenced by lower RMSE values. This improved accuracy has the potential to support the development of more timely and effective economic policies.

Large white, Grade A chicken eggs, sold in a carton of a dozen. Includes organic, non-organic, cage free, free range, and traditional."

Fixed 30-year mortgage rates in the United States averaged 6.79 percent in the week ending June 27 of 2025. This dataset provides the latest reported value for - United States MBA 30-Yr Mortgage Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.