Sweden NIER Forecast: Exchange Rate: US Dollar data was reported at 7.500 SEK/USD in 2028. This records a decrease from the previous number of 7.600 SEK/USD for 2027. Sweden NIER Forecast: Exchange Rate: US Dollar data is updated yearly, averaging 7.400 SEK/USD from Dec 1971 (Median) to 2028, with 58 observations. The data reached an all-time high of 10.300 SEK/USD in 2001 and a record low of 4.200 SEK/USD in 1980. Sweden NIER Forecast: Exchange Rate: US Dollar data remains active status in CEIC and is reported by National Institute of Economic Research. The data is categorized under Global Database’s Sweden – Table SE.M020: Foreign Exchange Rate: Forecast: National Institute of Economic Research.

BDM Forecast: Exchange Rate against US$: Average: Plus 7 Months data was reported at 19.760 MXN/USD in Mar 2019. This records a decrease from the previous number of 19.850 MXN/USD for Feb 2019. BDM Forecast: Exchange Rate against US$: Average: Plus 7 Months data is updated monthly, averaging 12.510 MXN/USD from May 1999 (Median) to Mar 2019, with 217 observations. The data reached an all-time high of 21.540 MXN/USD in Jan 2017 and a record low of 9.420 MXN/USD in Mar 2002. BDM Forecast: Exchange Rate against US$: Average: Plus 7 Months data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.M006: Foreign Exchange Rates: Forecast.

In this paper we investigate the out-of-sample forecasting ability of feedforward and recurrent neural networks based on empirical foreign exchange rate data. A two-step procedure is proposed to construct suitable networks, in which networks are selected based on the predictive stochastic complexity (PSC) criterion, and the selected networks are estimated using both recursive Newton algorithms and the method of nonlinear least squares. Our results show that PSC is a sensible criterion for selecting networks and for certain exchange rate series, some selected network models have significant market timing ability and/or significantly lower out-of-sample mean squared prediction error relative to the random walk model.

This dataset provides values for EXCHANGE RATE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

ABSTRACT Purpose: The objective of this article is to model a minute series of exchange rates for the EUR/USD pair using the singular spectrum analysis (SSA) and ARIMA-GARCH methods and evaluate which one offers better forecasts for a five-minute horizon. Originality/value: Despite being a successful technique in other branches of science, the application of SSA in finance is quite new. Furthermore, exchange rate modeling is a complex problem, comprising statistical concepts and properties. However, despite the complexity, the analysis of this series is extremely important for several agents playing, directly or indirectly, a role in the economy and the financial market. Design/methodology/approach: Time series models were estimated using the ARIMA-GARCH and SSA techniques, taking into account three samples of the ask exchange rate (closing): uptrend, downtrend, and no well-defined trend. Findings: The forecasts carried out by the SSA were the ones closest to the original observations for the three cases. Regarding the quality measurements, SSA obtained the best results for both uptrend and downtrend samples; for the sample with no well-defined trend, the findings indicated that the ARIMA-GARCH technique attained better results. However, it was concluded that the SSA forecasts, regarding exchange rates during the studied period, are more appropriate than the ones obtained by the ARIMA-GARCH model, regardless of the market movement.

The EUR/USD exchange rate fell to 1.1753 on July 3, 2025, down 0.38% from the previous session. Over the past month, the Euro US Dollar Exchange Rate - EUR/USD has strengthened 2.95%, and is up by 8.72% over the last 12 months. Euro US Dollar Exchange Rate - EUR/USD - values, historical data, forecasts and news - updated on July of 2025.

The inability of empirical models to forecast exchange rates has given rise to the belief that exchange rates are disconnected from macroeconomic fundamentals. This paper addresses the potential disconnect by endogenously selecting forecast models from a broad set of fundamentals. The procedure shows that exchange rates are not disconnected from fundamentals, but fundamentals vary in their predictive content at different forecast horizons and for different currencies. Performing model selection out-of-sample is challenging. At short horizons, the method cannot outperform a random walk, although the performance is improved at long horizons. These findings are confirmed across currencies and forecast evaluation methods.

Mexico BDM Forecast: Exchange Rate against US$: Average data was reported at 19.940 MXN/USD in Mar 2020. This records an increase from the previous number of 19.890 MXN/USD for Feb 2020. Mexico BDM Forecast: Exchange Rate against US$: Average data is updated monthly, averaging 12.310 MXN/USD from Feb 1999 (Median) to Mar 2020, with 254 observations. The data reached an all-time high of 21.420 MXN/USD in Jan 2017 and a record low of 9.130 MXN/USD in Apr 2002. Mexico BDM Forecast: Exchange Rate against US$: Average data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.M006: Foreign Exchange Rates: Forecast.

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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,

The EUR/USD exchange rate rose to 1.1785 on July 4, 2025, up 0.14% from the previous session. Over the past month, the Euro US Dollar Exchange Rate - EUR/USD has strengthened 2.97%, and is up by 8.74% over the last 12 months. Euro US Dollar Exchange Rate - EUR/USD - values, historical data, forecasts and news - updated on July of 2025.

Daily exchange rates of eight countries’ currencies against the US dollar, spanning from 1990 to 2010 with 7588 timesteps in total.

BDM Forecast: Exchange Rate against US$: Average: Plus 3 Months data was reported at 19.490 MXN/USD in Mar 2019. This records a decrease from the previous number of 19.600 MXN/USD for Feb 2019. BDM Forecast: Exchange Rate against US$: Average: Plus 3 Months data is updated monthly, averaging 12.010 MXN/USD from Jan 1999 (Median) to Mar 2019, with 243 observations. The data reached an all-time high of 21.530 MXN/USD in Jan 2017 and a record low of 9.200 MXN/USD in Mar 2002. BDM Forecast: Exchange Rate against US$: Average: Plus 3 Months data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.M006: Foreign Exchange Rates: Forecast.

We investigate the empirical relevance of structural breaks for GARCH models of exchange rate volatility using both in-sample and out-of-sample tests. We find significant evidence of structural breaks in the unconditional variance of seven of eight US dollar exchange rate return series over the 1980-2005 period-implying unstable GARCH processes for these exchange rates-and GARCH(1,1) parameter estimates often vary substantially across the subsamples defined by the structural breaks. We also find that it almost always pays to allow for structural breaks when forecasting exchange rate return volatility in real time. Combining forecasts from different models that accommodate structural breaks in volatility in various ways appears to offer a reliable method for improving volatility forecast accuracy given the uncertainty surrounding the timing and size of the structural breaks.

The USD/MXN exchange rate fell to 18.6400 on July 4, 2025, down 0.04% from the previous session. Over the past month, the Mexican Peso has strengthened 2.70%, but it's down by 3.02% over the last 12 months. Mexican Peso - values, historical data, forecasts and news - updated on July of 2025.

This data contains exchange rate forecasting the Ghana cedi (GHS) against the British pound (GBP) and United States dollar (USD)

BDM Forecast: Exchange Rate against US$: Median: Plus 1 Month data was reported at 19.280 MXN/USD in Mar 2019. This records a decrease from the previous number of 19.300 MXN/USD for Feb 2019. BDM Forecast: Exchange Rate against US$: Median: Plus 1 Month data is updated monthly, averaging 12.020 MXN/USD from Jan 1999 (Median) to Mar 2019, with 243 observations. The data reached an all-time high of 21.530 MXN/USD in Jan 2017 and a record low of 9.120 MXN/USD in Mar 2002. BDM Forecast: Exchange Rate against US$: Median: Plus 1 Month data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.M006: Foreign Exchange Rates: Forecast.

The USD/BRL exchange rate fell to 5.4150 on July 3, 2025, down 0.18% from the previous session. Over the past month, the Brazilian Real has strengthened 3.92%, and is up by 1.36% over the last 12 months. Brazilian Real - values, historical data, forecasts and news - updated on July of 2025.

Dataset and program files to reproduce the results in "Predicting the exchange rate path --- the importance of using up-to-date observations in the forecasts" by Håvard Hungnes

The DXY exchange rate rose to 97.1965 on July 3, 2025, up 0.43% from the previous session. Over the past month, the United States Dollar has weakened 1.61%, and is down by 7.57% over the last 12 months. United States Dollar - values, historical data, forecasts and news - updated on July of 2025.

Data and codes for replicating results in "Covered Interest Parity: A Forecasting Approach to Estimate the Neutral Band". Start in the "Readme" file.