Graph and download economic data for Market Yield on U.S. Treasury Securities at 30-Year Constant Maturity, Quoted on an Investment Basis (DGS30) from 1977-02-15 to 2025-07-31 about 30-year, maturity, Treasury, interest rate, interest, rate, and USA.

Euro Area - Day-to-day money market interest rates was -0.49% in December of 2021, according to the EUROSTAT. Trading Economics provides the current actual value, an historical data chart and related indicators for Euro Area - Day-to-day money market interest rates - last updated from the EUROSTAT on August of 2025. Historically, Euro Area - Day-to-day money market interest rates reached a record high of -0.48% in August of 2021 and a record low of -0.49% in December of 2021.

BondCliQ is a central market system for the OTC corporate bond market that establishes price integrity and facilitates market modernization.

Graph and download economic data for 6-Month Treasury Bill Secondary Market Rate, Discount Basis (WTB6MS) from 1958-12-12 to 2025-07-18 about 6-month, secondary market, bills, Treasury, interest rate, interest, rate, and USA.

Taiwan Commercial Paper Rate: Primary Market: 91 to 180 Days data was reported at 0.690 % pa in Oct 2018. This records an increase from the previous number of 0.640 % pa for Sep 2018. Taiwan Commercial Paper Rate: Primary Market: 91 to 180 Days data is updated monthly, averaging 4.045 % pa from Nov 1980 (Median) to Oct 2018, with 456 observations. The data reached an all-time high of 19.400 % pa in Jul 1981 and a record low of 0.380 % pa in Feb 2010. Taiwan Commercial Paper Rate: Primary Market: 91 to 180 Days data remains active status in CEIC and is reported by Central Bank of the Republic of China. The data is categorized under Global Database’s Taiwan – Table TW.M004: Money Market Interest Rates.

Graph and download economic data for Average Rate on 3-Month Negotiable Certificates of Deposit (Secondary Market), Quoted on an Investment Basis (DISCONTINUED) (DCD90) from 1964-06-11 to 2013-06-28 about CD, secondary market, 3-month, interest rate, interest, rate, and USA.

Browse LSEG's Money Market (MM) Pricing Data, and benefit from our comprehensive coverage real-time and historical pricing and indices data.

Poland PL: Money Market Rate data was reported at 1.575 % pa in 2017. This records an increase from the previous number of 1.553 % pa for 2016. Poland PL: Money Market Rate data is updated yearly, averaging 5.719 % pa from Dec 1990 (Median) to 2017, with 28 observations. The data reached an all-time high of 54.300 % pa in 1990 and a record low of 1.553 % pa in 2016. Poland PL: Money Market Rate data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Poland – Table PL.IMF.IFS: Money Market and Policy Rates: Annual.

These rates are the daily secondary market quotation on the most recently auctioned Treasury Bills for each maturity tranche (4-week, 13-week, 26-week, and 52-week) that Treasury currently issues new Bills. Market quotations are obtained at approximately 3:30 PM each business day by the Federal Reserve Bank of New York. The Bank Discount rate is the rate at which a Bill is quoted in the secondary market and is based on the par value, amount of the discount and a 360-day year. The Coupon Equivalent, also called the Bond Equivalent, or the Investment Yield, is the bill's yield based on the purchase price, discount, and a 365- or 366-day year. The Coupon Equivalent can be used to compare the yield on a discount bill to the yield on a nominal coupon bond that pays semiannual interest. Data updated daily on weekdays.

TraditionData’s Swaptions Market Data service offers comprehensive market coverage for swaptions across multiple currencies.

• Provides datasets for At-the-Money (ATM) and Out-of-the-Money (OTM) vol surfaces.
• Real-time, intraday, and end-of-day prices available for interest rate markets.
• Service is tailored with focused and granular packages based on region and product.

For a detailed exploration, visit Swaptions Market Data.

FI: Money Market Rate data was reported at -0.329 % pa in 2017. This records a decrease from the previous number of -0.264 % pa for 2016. FI: Money Market Rate data is updated yearly, averaging 4.391 % pa from Dec 1977 (Median) to 2017, with 41 observations. The data reached an all-time high of 22.990 % pa in 1977 and a record low of -0.329 % pa in 2017. FI: Money Market Rate data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Finland – Table FI.IMF.IFS: Money Market and Policy Rates: Annual.

View LSEG's ICE Data Pricing and Reference Data, and find real-time market data, time-sensitive pricing, and reference data for securities trading.

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.

Brown Group, Inc. (BWNG): Has the Bear Market Hit the Bottom?

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

Daily rates refer to the average of interbank deposit rates for the day, with individual rates being weighted accordingly by the volume of transactions at those rates.

Monthly rates refer to the average for the trading days of the month, and annual rates refer to the average for all trading days during the year.

Techsalerator offers an extensive dataset of End-of-Day Pricing Data for all 214 companies listed on the Panama Stock Exchange (XPTY) in Panama. This dataset includes the closing prices of equities (stocks), bonds, and indices at the end of each trading session. End-of-day prices are vital pieces of market data that are widely used by investors, traders, and financial institutions to monitor the performance and value of these assets over time.

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Top 5 used data fields in the End-of-Day Pricing Dataset for Panama:

1. Equity Closing Price :The closing price of individual company stocks at the end of the trading day.This field provides insights into the final price at which market participants were willing to buy or sell shares of a specific company.

2. Bond Closing Price: The closing price of various fixed-income securities, including government bonds, corporate bonds, and municipal bonds. Bond investors use this field to assess the current market value of their bond holdings.

3. Index Closing Price: The closing value of market indices, such as the Botswana stock market index, at the end of the trading day. These indices track the overall market performance and direction.

4. Equity Ticker Symbol: The unique symbol used to identify individual company stocks. Ticker symbols facilitate efficient trading and data retrieval.

5. Date of Closing Price: The specific trading day for which the closing price is provided. This date is essential for historical analysis and trend monitoring.

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Top 5 financial instruments with End-of-Day Pricing Data in Panama:

Panamanian Stock Exchange Domestic Company Index: The main index that tracks the performance of domestic companies listed on the Panamanian Stock Exchange (Bolsa de Valores de Panamá). This index provides an overview of the overall market performance in Panama.

Panamanian Stock Exchange Foreign Company Index: The index that tracks the performance of foreign companies listed on the Panamanian Stock Exchange. This index reflects the performance of international companies operating in Panama.

Company A: A prominent Panamanian company with diversified operations across various sectors, such as shipping, logistics, or finance. This company's stock is widely traded on the Panamanian Stock Exchange.

Company B: A leading financial institution in Panama, offering banking, insurance, or investment services. This company's stock is actively traded on the Panamanian Stock Exchange.

Company C: A major player in the Panamanian energy or real estate sector, involved in the production and distribution of related products. This company's stock is listed and actively traded on the Panamanian Stock Exchange.

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If you're interested in accessing Techsalerator's End-of-Day Pricing Data for Panama, please contact info@techsalerator.com with your specific requirements. Techsalerator will provide you with a customized quote based on the number of data fields and records you need. The dataset can be delivered within 24 hours, and ongoing access options can be discussed if needed.

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Data fields included:

Equity Ticker Symbol Equity Closing Price Bond Ticker Symbol Bond Closing Price Index Ticker Symbol Index Closing Price Date of Closing Price Equity Name Equity Volume Equity High Price Equity Low Price Equity Open Price Bond Name Bond Coupon Rate Bond Maturity Index Name Index Change Index Percent Change Exchange Currency Total Market Capitalization Dividend Yield Price-to-Earnings Ratio (P/E) ‍

Q&A:

1. How much does the End-of-Day Pricing Data cost in Panama ?

The cost of this dataset may vary depending on factors such as the number of data fields, the frequency of updates, and the total records count. For precise pricing details, it is recommended to directly consult with a Techsalerator Data specialist.

1. How complete is the End-of-Day Pricing Data coverage in Panama?

Techsalerator provides comprehensive coverage of End-of-Day Pricing Data for various financial instruments, including equities, bonds, and indices. Thedataset encompasses major companies and securities traded on Panama exchanges.

1. How does Techsalerator collect this data?

Techsalerator collects End-of-Day Pricing Data from reliable sources, including stock exchanges, financial news outlets, and other market data providers. Data is carefully curated to ensure accuracy and reliability.

1. Can I select specific financial instruments or multiple countries with Techsalerator's End-of-Day Pricing Data?

Techsalerator offers the flexibility to select specific financial instruments, such as equities, bonds, or indices, depending on your needs. While the dataset focuses on Botswana, Techsalerator also provides data for other countries and international markets.

1. How do I pay for this dataset?

Techsalerator accepts various payment methods, including credit cards, direc...

Graph and download economic data for Overnight Reverse Repurchase Agreements Award Rate: Treasury Securities Sold by the Federal Reserve in the Temporary Open Market Operations (RRPONTSYAWARD) from 2013-09-23 to 2025-07-31 about reverse repos, overnight, securities, Treasury, sales, rate, and USA.

Brazil Lending Rate: per Month: Post-Fixed: Individuals: Mortgages with Market Rates: Banco Alfa S.A. data was reported at 0.000 % per Month in 03 Jul 2019. This stayed constant from the previous number of 0.000 % per Month for 02 Jul 2019. Brazil Lending Rate: per Month: Post-Fixed: Individuals: Mortgages with Market Rates: Banco Alfa S.A. data is updated daily, averaging 0.000 % per Month from Jan 2012 (Median) to 03 Jul 2019, with 1867 observations. The data reached an all-time high of 0.000 % per Month in 03 Jul 2019 and a record low of 0.000 % per Month in 03 Jul 2019. Brazil Lending Rate: per Month: Post-Fixed: Individuals: Mortgages with Market Rates: Banco Alfa S.A. data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Interest and Foreign Exchange Rates – Table BR.MB021: Lending Rate: per Month: by Banks: Post-Fixed: Individuals: Mortgages with Market Rates. Lending Rate: Daily: Interest rates disclosed represent the total cost of the transaction to the client, also including taxes and operating. These rates correspond to the average fees in the period indicated in the tables. There are presented only institutions that had granted during the period determined. In general, institutions practicing different rates within the same type of credit. Thus, the rate charged to a customer may differ from the average. Several factors such as the time and volume of the transaction, as well as the guarantees offered, explain the differences between interest rates. Certain institutions grant allowance of the use of the term overdraft. However, this is not considered in the calculation of rates of this type. It should be noted that the overdraft is a modality that has high interest rates. Thus, its use should be restricted to short periods. If the customer needs resources for a longer period, should find ways to offer lower rates. The Brazilian Central Bank publishes these data with a delay about 20 days with relation to the reference period, thus allowing sufficient time for all Financial Institutions to deliver the relevant information. Interest rates presented in this set of tables correspond to averages weighted by the values of transactions conducted in the five working days specified in each table. These rates represent the average effective cost of loans to customers, consisting of the interest rates actually charged by financial institutions in their lending operations, increased tax burdens and operational incidents on the operations. The interest rates shown are the average of the rates charged in the various operations performed by financial institutions, in each modality. In one discipline, interest rates may differ between customers of the same financial institution. Interest rates vary according to several factors, such as the value and quality of collateral provided in the operation, the proportion of down payment operation, the history and the registration status of each client, the term of the transaction, among others . Institutions with “zero” did not operate on modalities for those periods or did not provide information to the Central Bank of Brazil. The Central Bank of Brazil assumes no responsibility for delay, error or other deficiency of information provided for purposes of calculating average rates presented in this

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United States - 34.5-Year High Quality Market (HQM) Corporate Bond Spot Rate was 6.19% in May of 2025, according to the United States Federal Reserve. Historically, United States - 34.5-Year High Quality Market (HQM) Corporate Bond Spot Rate reached a record high of 12.63 in June of 1984 and a record low of 2.99 in July of 2020. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - 34.5-Year High Quality Market (HQM) Corporate Bond Spot Rate - last updated from the United States Federal Reserve on July of 2025.

this data base contains USD/MAD and EUR/MAD returns in addition to S&P GSCI returns from 15 October 2005 until the 31 December 2014 as the main sample,then we divided this sample into four subsamples, (after & before) the subprime crisis, and (before & after) the debt crisis