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

Following the BoE’s interest rate cut, explore the immediate impact on the UK economy and how finance professionals and businesses can navigate the prospect of future reductions.

ABSTRACT This short article shows that since 1999 the interest rate has been correlated to exchange rate volatility in Brazil. Therefore, it would be one of the reasons for not reducing the interest rate in Brazil.

We explore several explicit and alternating-direction implicit (ADI) finite difference methods for pricing compound options with early exercise opportunities. Stock prices, stock price volatilities, and interest rates are assumed to follow correlated stochastic processes.

Aside from two outliers the majority of Vanguard's fixed-income securities were projected to have an average ******* annualized volatility rate of under *** percent. Fixed income is used to refer to any investment in which a borrower/issuer is required to pay interest to the lender on the amount given. Due to the stable nature of fixed-income products in comparison to other securities such as equities the level of volatility is comparably low.

United States - Equity Market Volatility Tracker: Macroeconomic News and Outlook: Interest Rates was 6.33178 Index in May of 2025, according to the United States Federal Reserve. Historically, United States - Equity Market Volatility Tracker: Macroeconomic News and Outlook: Interest Rates reached a record high of 23.32740 in October of 1987 and a record low of 1.74079 in May of 2017. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Equity Market Volatility Tracker: Macroeconomic News and Outlook: Interest Rates - last updated from the United States Federal Reserve on July of 2025.

While higher interest rates increase the cost of credit financing for businesses, this study finds that the direct impact of this traditional credit transmission mechanism on corporate bankruptcy risk is limited. Instead, our research reveals that changes in corporate behavior induced by rising debt financing costs are the root cause of bankruptcy risk. In the short term, an increase in interest rates drives businesses to substitute supply chain financing for credit financing in pursuit of profit maximization. This mismatch of short-term debt and long-term investments undermines the sustainability of the supply chain, ultimately reducing financial security—sacrificing safety for profitability. In the long term, higher interest rates exacerbate the overcapacity problem in industries, increasing the unsustainability of the production and sales balance. Using data from China’s construction industry, this study empirically tests these findings and, based on the main conclusions, provides policy suggestions regarding the long- and short-term effects of monetary policy on the sustainable development of China’s construction industry: (1) focus on short-term interest rate risks and be vigilant against commercial credit bubbles; (2) long-term monetary policy should prioritize industrial structure optimization.

Price discovery and volatility spillovers in interest rate derivatives market (datasets)

Abstract (en): We show how changes in the volatility of the real interest rate at which small open emerging economies borrow have an important effect on variables like output, consumption, investment, and hours. We start by documenting the strong evidence of time-varying volatility in the real interest rates faced by four emerging economies: Argentina, Brazil, Ecuador, and Venezuela. We estimate a stochastic volatility process for real interest rates. Then, we feed this process in a standard small open economy business cycle model. We find that an increase in real interest rate volatility triggers a fall in output, consumption, investment, hours, and debt. (JEL E13, E20, E32, E43, F32, F43, 011)

Interest rate, enterprise bankruptcy risk, and financing structure.

Regression results of default risk on interest rate.

Abstract This paper analyzes the adjustment of the covered interest rate parity equation between the Brazilian real and the US dollar. The objective is to evaluate the short-term response of the spot and future exchange rates to shocks in interest rate differential and country risk. The econometric research shows that the adjustment of the covered parity in Brazil occurs with the movement of the spot and future exchange rates in the same direction - an exchange appreciation due to the increase of the interest rate differential and exchange depreciation in the case of the increase of the country risk - but with a higher volatility of the spot exchange rate.

The zip file contains programs and data for the paper

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.

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.

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Foreign Exchange Market Size 2025-2029

The foreign exchange market size is forecast to increase by USD 582 billion, at a CAGR of 10.6% between 2024 and 2029.

The Foreign Exchange Market is segmented by type (reporting dealers, financial institutions, non-financial customers), trade finance instruments (currency swaps, outright forward and FX swaps, FX options), trading platforms (electronic trading, over-the-counter (OTC), mobile trading), and geography (North America: US, Canada; Europe: Germany, Switzerland, UK; Middle East and Africa: UAE; APAC: China, India, Japan; South America: Brazil; Rest of World). This segmentation reflects the market's global dynamics, driven by institutional trading, increasing digital adoption through electronic trading and mobile trading, and regional economic activities, with APAC markets like India and China showing significant growth alongside traditional hubs like the US and UK.
The market is experiencing significant shifts driven by the escalating trends of urbanization and digitalization. These forces are creating 24x7 trading opportunities, enabling greater accessibility and convenience for market participants. However, the market's dynamics are not without challenges. The uncertainty of future exchange rates poses a formidable obstacle for businesses and investors alike, necessitating robust risk management strategies. As urbanization continues to expand and digital technologies reshape the trading landscape, market players must adapt to remain competitive. One significant trend is the increasing use of money transfer agencies, venture capital investments, and mutual funds in foreign exchange transactions. Companies seeking to capitalize on these opportunities must navigate the challenges effectively, ensuring they stay abreast of exchange rate fluctuations and implement agile strategies to mitigate risk.
The ability to adapt and respond to these market shifts will be crucial for success in the evolving market.

What will be the Size of the Foreign Exchange Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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In the dynamic and intricate realm of the market, entities such as algorithmic trading, order book, order management systems, and liquidity risk intertwine, shaping the ever-evolving market landscape. The market's continuous unfolding is characterized by the integration of various components, including sentiment analysis, Fibonacci retracement, mobile trading, and good-for-the-day orders. Market activities are influenced by factors like political stability, monetary policy, and market liquidity, which in turn impact economic growth and trade settlement. Technical analysis, with its focus on chart patterns and moving averages, plays a crucial role in informing trading decisions. The market's complexity is further amplified by the presence of entities like credit risk, counterparty risk, and operational risk.

Central bank intervention, order execution, clearing and settlement, and trade confirmation are essential components of the market's infrastructure, ensuring a seamless exchange of currencies. Geopolitical risk, currency correlation, and inflation rates contribute to currency volatility, necessitating hedging strategies and risk management. Market risk, interest rate differentials, and commodity currencies influence trading strategies, while cross-border payments and brokerage services facilitate international trade. The ongoing evolution of the market is marked by the emergence of advanced trading platforms, automated trading, and real-time data feeds, enabling traders to make informed decisions in an increasingly interconnected and complex global economy.

How is this Foreign Exchange Industry segmented?

The foreign exchange industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Reporting dealers
  Financial institutions
  Non-financial customers


Trade Finance Instruments

  Currency swaps
  Outright forward and FX swaps
  FX options


Trading Platforms

  Electronic Trading
  Over-the-Counter (OTC)
  Mobile Trading


Geography

  North America

    US
    Canada


  Europe

    Germany
    Switzerland
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The reporting dealers segment is estimated to witness significant growth during the forecast period.

The market is a dynamic and complex ecosystem where various entities interplay to manage currency risks and facilitate international trade. Reporting dealers, as key participants,

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.

CBOE Volatility Index Options & Futures Prediction

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

This study empirically investigates on the impact of FX futures trading on spot volatility in Thailand. The impact of the introduction of FX derivatives trading has been different in different markets and in most of the cases, the analysis has been conducted in the context of leading organized exchanges. The literature in the context of organized exchanges in emerging markets like Thailand is scarce. Therefore, this study can provide more insightful empirical evidence of how the introduction of FX futures changes the volatility structure of the underlying spot market and the relationship between spot volatility and the level of futures trading, including trading volume and open interest. The findings will offer new insights to policy makers in relation to the economic usefulness of the derivatives market in emerging markets.

Brazil's inflation rate and central bank interest rate have experienced significant fluctuations from 2018 to 2025, reflecting broader global economic trends. The country's inflation peaked at ***** percent in April 2020, followed by a gradual decline and subsequent rise, while the central bank adjusted its Selic rate in response to these economic dynamics. This pattern of volatility and monetary policy adjustments mirrors similar experiences in other major economies during the same period. Global context of inflation and interest rates Brazil's economic indicators align with the global trend of rising inflation and subsequent central bank responses observed in many countries. Like Brazil, other major economies such as the United States, United Kingdom, and European Union implemented aggressive rate hikes throughout 2022-2023 to combat inflationary pressures. However, a coordinated shift began in mid-2024, with many central banks initiating rate cuts. This global trend is reflected in Brazil's monetary policy decisions, as the country began reducing its Selic rate in August 2023 after maintaining it at ***** percent for several months. Comparison with other economies While Brazil's inflation rate reached **** percent in April 2025, other major economies exhibited varying levels of inflationary pressure. For instance, China reported a deflationary rate of **** percent, while Russia maintained a high inflation rate of **** percent during the same period. The United Kingdom, which experienced similar volatility in its inflation rate, saw it peak at *** percent in October 2022 before moderating to *** percent by September 2024. These comparisons highlight the diverse economic conditions and policy responses across different countries, with Brazil's experience falling somewhere in the middle of this spectrum.

The dataset used in the paper is a set of synthetic financial data, including option prices, underlying asset prices, strike prices, expiration times, risk-free interest rates, and volatility.