The USD/JPY exchange rate rose to 155.6000 on December 2, 2025, up 0.09% from the previous session. Over the past month, the Japanese Yen has weakened 0.90%, and is down by 4.00% over the last 12 months. Japanese Yen - values, historical data, forecasts and news - updated on December of 2025.

Japan JP: Exchange Rate: National Currency per USD data was reported at 155.830 USD/JPY in Dec 2026. This stayed constant from the previous number of 155.830 USD/JPY for Sep 2026. Japan JP: Exchange Rate: National Currency per USD data is updated quarterly, averaging 138.131 USD/JPY from Mar 1960 (Median) to Dec 2026, with 268 observations. The data reached an all-time high of 362.802 USD/JPY in Sep 1963 and a record low of 77.324 USD/JPY in Dec 2011. Japan JP: Exchange Rate: National Currency per USD data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Japan – Table JP.OECD.EO: Exchange Rate: Forecast: OECD Member: Quarterly. EXCHUD - Exchange rate, national currency per USD

Monthly and long-term Japan Exchange Rate data: historical series and analyst forecasts curated by FocusEconomics.

New Zealand ANZ Forecast: Foreign Exchange Rate: Japan Yen: Annual data was reported at 83.200 NZD/JPY in 2025. This records a decrease from the previous number of 85.700 NZD/JPY for 2024. New Zealand ANZ Forecast: Foreign Exchange Rate: Japan Yen: Annual data is updated yearly, averaging 80.900 NZD/JPY from Dec 2018 (Median) to 2025, with 8 observations. The data reached an all-time high of 85.700 NZD/JPY in 2024 and a record low of 69.600 NZD/JPY in 2020. New Zealand ANZ Forecast: Foreign Exchange Rate: Japan Yen: Annual data remains active status in CEIC and is reported by ANZ Bank New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.M017: Foreign Exchange Rate: Forecast: ANZ Bank Ltd.

Prices for JPYPHP Japanese Yen Philippine Peso including live quotes, historical charts and news. JPYPHP Japanese Yen Philippine Peso was last updated by Trading Economics this December 2 of 2025.

FocusEconomics' economic data is provided by official state statistical reporting agencies as well as our global network of leading banks, think tanks and consultancies. Our datasets provide not only historical data, but also Consensus Forecasts and individual forecasts from the aformentioned global network of economic analysts. This includes the latest forecasts as well as historical forecasts going back to 2010. Our global network consists of over 1000 world-renowned economic analysts from which we calculate our Consensus Forecasts. In this specific dataset you will find economic data for Japan Exchange Rate.

The dataset is from world data bank and it is from 2020 to 2024 The dataset uses columns as : "country": country which data belong "iso3":short form of country "components":products "currency":currency "start_date_observations" start of observation date "end_date_observations": end of observation date "number_of_markets_modeled":number of market modeled "number_of_markets_covered":number of market covered "number_of_food_items":num of food item in components "number_of_observations_food":num of observation food "number_of_observations_other":observations of others "data_coverage_food"::data coverage of food "data_coverage_previous_12_months_food":for 12 months previous price "total_food_price_increase_since_start_date":total food price "average_annualized_food_inflation":average annualized inflation "maximum_food_drawdown":maximum food drawdown "average_annualized_food_volatility":avg food volatility "average_monthly_food_price_correlation_between_markets":avg monthly food price correlation "average_annual_food_price_correlation_between_markets":annulaly food price correlation "Rsquared_individual_food_items":food item error "Rsquared_individual_other_items":individual item error "index_confidence_score":confidence score "imputation_model":principle used

data source:https://microdata.worldbank.org/index.php/catalog/6160

STUDY TYPE Monthly currency exchange rate estimates in fragile countries

SERIES INFORMATION Real Time Prices (RTP) is a live dataset compiled and updated weekly by the World Bank Development Economics Data Group (DECDG) using a combination of direct price measurement and Machine Learning estimation of missing price data. The historical and current estimates are based on price information gathered from the World Food Program (WFP), UN-Food and Agricultural Organization (FAO), select National Statistical Offices, and are continually updated and revised as more price information becomes available. Real-time exchange rate data used in this process are from official and public sources.

RTP consists of three sub-series, Real Time Food Prices (RTFP) includes prices on a variety of food items that primarily include country-specific staple foods, Real Time Energy Prices (RTEP) includes fuel prices, and Real Time Exchange Rates (RTFX) and includes unofficial exchange rate estimates as well as possible other unofficial deflators.

RTFP: https://microdata.worldbank.org/index.php/catalog/study/WLD_2021_RTFP_v02_M RTEP: https://microdata.worldbank.org/index.php/catalog/study/WLD_2023_RTEP_v01_M RTFX: https://microdata.worldbank.org/index.php/catalog/study/WLD_2023_RTFX_v01_M To produce smooth price series, outliers in the data are often adjusted using non-parametric density estimation and other techniques. Generalized Auto-Regressive Conditional Heteroskedasticity models are used to estimate intra-month price ranges. These models allow for excess kurtosis using a Generalized Error Distribution (GED). Open, High, Low, and Close price estimates are provided based on the modeled time-varying price distributions.

Data are produced from 2007 to the present and estimates are given for individual commodity items at geo-referenced market locations. Predicted data for missing entries are based on exchange rates, and price data available either at other market locations or from related price items.

RTP estimates of historical and current prices may serve as proxies for sub-national price inflation series or substitute national-level Consumer Price Inflation (CPI) indicators when complete information is unavailable. Therefore, RTP data may differ from other sources with official data, including the World Bank’s International Comparison Program (ICP) or inflation series reported in the World Development Indicators.

Sweden NIER Forecast: Exchange Rate: Japanese Yen data was reported at 7.300 SEK/100 JPY in 2023. This records a decrease from the previous number of 7.400 SEK/100 JPY for 2022. Sweden NIER Forecast: Exchange Rate: Japanese Yen data is updated yearly, averaging 6.300 SEK/100 JPY from Dec 1971 (Median) to 2023, with 53 observations. The data reached an all-time high of 8.500 SEK/100 JPY in 2012 and a record low of 1.400 SEK/100 JPY in 1975. Sweden NIER Forecast: Exchange Rate: Japanese Yen 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.

Prices for SGDJPY Singapore Dollar Japanese Yen including live quotes, historical charts and news. SGDJPY Singapore Dollar Japanese Yen was last updated by Trading Economics this December 2 of 2025.

Prices for JPYIDR Japanese Yen Indonesian Rupiah including live quotes, historical charts and news. JPYIDR Japanese Yen Indonesian Rupiah was last updated by Trading Economics this December 1 of 2025.

Prices for JPYTHB Japanese Yen Thai Baht including live quotes, historical charts and news. JPYTHB Japanese Yen Thai Baht was last updated by Trading Economics this December 3 of 2025.

This dataset offers a comprehensive view of daily currency exchange rates, from 2008 to 2023. Currency rates can be affected by various factors, including interest rates, inflation, political instability, economic performance, and global market developments. Understanding these rates over time can provide valuable insights into economic trends, market behaviors, and the impacts of global events on currency values.

The currency pairs included in this dataset are: USD to INR (INR=X) USD to JPY (JPY=X) USD to EUR (EUR=X) USD to GBP (GBP=X) USD to AUD (AUD=X) USD to CAD (CAD=X) USD to CHF (CHF=X) USD to CNY (CNY=X) USD to HKD (HKD=X) USD to SGD (SGD=X)

Each row in the dataset represents a single day and includes the following columns:

Ticker: The currency pair being represented. Date: The date in YYYY-MM-DD format. Open: The opening exchange rate of the day. High: The highest exchange rate of the day. Low: The lowest exchange rate of the day. Close: The closing exchange rate of the day. Adj Close: The adjusted closing exchange rate of the day. Volume: The volume of the currency traded on that day.

Usage: This dataset could be useful for a variety of purposes, including but not limited to:

Economic research: Analyze currency trends over time to understand economic behaviors. Financial modeling: Use historical data to forecast future currency rates. Machine learning: Develop predictive models for currency exchange rates. Teaching: An excellent resource for educators in finance and economics.

Title: Currency Exchange Rate Prediction: INR to USD (August 2019 - February 2023)

Abstract:

This comprehensive dataset, named "historical_data.csv," presents a meticulous record of the Indian Rupee (INR) to US Dollar (USD) exchange rates over a significant timeframe spanning from August 3rd, 2019, to February 3rd, 2023. With a meticulous collection of data encompassing various financial metrics, including Date, Close/Last, Volume, Open, High, and Low prices, this dataset offers a valuable resource for researchers, analysts, and machine learning enthusiasts aiming to predict and understand currency fluctuations between these two major global currencies.

Dataset Description:

The "historical_data.csv" dataset offers a wide array of financial metrics for each trading day, enabling researchers to delve into the intricate dynamics of the INR to USD exchange rate. The dataset features the following columns:

Date: The date of the trading day, spanning from August 3rd, 2019, to February 3rd, 2023. Close/Last: The closing or last recorded exchange rate for the given trading day. Volume: The trading volume for the given day, providing insights into market activity. Open: The opening exchange rate at the start of the trading day. High: The highest exchange rate recorded during the trading day. Low: The lowest exchange rate recorded during the trading day.

Potential Applications:

This dataset holds substantial potential for various applications and research endeavours, including but not limited to:

Currency Forecasting: Researchers and analysts can leverage historical data to develop and test predictive models for forecasting INR to USD exchange rates, contributing to enhanced decision-making in financial markets. Market Analysis: The dataset can be used to conduct in-depth analyses of market trends, patterns, and volatility, aiding traders and investors in making informed trading strategies. Risk Assessment: Financial institutions can use the data to assess and manage currency-related risks, optimizing their exposure to INR to USD fluctuations. Algorithmic Trading: Developers can utilize this dataset to design and evaluate algorithmic trading strategies based on historical exchange rate movements. Economic Research: Economists and researchers can explore the dataset to uncover insights into the broader economic factors influencing currency exchange rates. Citation: If you find this dataset useful for your research or analysis, we kindly request that you acknowledge its source by providing a citation. You can use the following citation format:

Author(s), "Currency Exchange Rate Prediction: INR to USD (August 2019 - February 2023)," Dataset, Year, [URL].

Note: While this dataset offers a wealth of information, users are advised to exercise due diligence and apply appropriate data preprocessing techniques before conducting analysis or developing predictive models.

Explore the intricate world of currency exchange rates with our meticulously curated "historical_data.csv" dataset. Uncover valuable insights, make informed decisions, and contribute to the advancement of financial research and analysis.

Japan JP: Purchasing Power Parity: National Currency per USD data was reported at 94.927 USD/JPY in Dec 2026. This records an increase from the previous number of 94.884 USD/JPY for Sep 2026. Japan JP: Purchasing Power Parity: National Currency per USD data is updated quarterly, averaging 177.455 USD/JPY from Mar 1960 (Median) to Dec 2026, with 268 observations. The data reached an all-time high of 272.793 USD/JPY in Sep 1977 and a record low of 93.912 USD/JPY in Sep 2022. Japan JP: Purchasing Power Parity: National Currency per USD data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Japan – Table JP.OECD.EO: Exchange Rate: Forecast: OECD Member: Quarterly. PPP - Purchasing power parity, national currency per USD

Snapshot img

Foreign Exchange Market Size 2025-2029

The foreign exchange market size is valued to increase by USD 582 billion, at a CAGR of 10.6% from 2024 to 2029. Growing urbanization and digitalization will drive the foreign exchange market.

Major Market Trends & Insights

Europe dominated the market and accounted for a 47% growth during the forecast period.
By Type - Reporting dealers segment was valued at USD 278.60 billion in 2023
By Trade Finance Instruments - Currency swaps segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 118.14 billion
Market Future Opportunities: USD 582.00 billion
CAGR from 2024 to 2029 : 10.6%

Market Summary

The market, a dynamic and intricate web of financial transactions, plays a pivotal role in facilitating global trade and economic interactions. Its primary function is to enable the conversion of one currency into another, thereby mitigating the risk of currency fluctuations for businesses and investors. Key drivers of this market include growing urbanization and digitalization, which have expanded trading opportunities to a 24x7 global economy. However, the uncertainty of future exchange rates poses a significant challenge, necessitating effective risk management strategies. The market's evolution reflects the increasing interconnectedness of the global economy. Transactions occur in a decentralized, over-the-counter system, with major trading centers in London, New York, and Tokyo.
Participants include commercial banks, investment banks, hedge funds, and individual investors, all seeking to capitalize on price differences between currencies. Trends shaping the market include the increasing use of automation and artificial intelligence to analyze market data and execute trades. Regulatory changes, such as the introduction of stricter capital requirements, also impact the market's functioning. Looking ahead, the market is expected to remain a vital component of the global financial landscape, with continued growth driven by increased trade and economic interdependence. However, challenges, such as regulatory changes and geopolitical risks, will necessitate adaptability and innovation from market participants.

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

Get Key Insights on Market Forecast (PDF) Request Free Sample

How is the Foreign Exchange Market 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, a dynamic and ever-evolving financial landscape, is characterized by constant activity and intricate patterns. Participants engage in various trading strategies, employing advanced tools such as stop-loss and take-profit orders on forex trading platforms. Real-time data feeds and order book dynamics facilitate trade execution speed, while market microstructure and slippage minimization techniques ensure efficient transactions. Currency correlation analysis and transaction cost analysis are integral to informed decision-making, with backtesting methodologies providing valuable insights. Currency forwards contracts, position sizing techniques, and forex derivatives pricing are essential components of risk management systems. Carry trade strategies, hedging strategies, and interest rate parity are popular tactics employed by market participants.

Algorithmic trading strategies, driven by options pricing models and trading algorithms' efficiency, significantly influence price discovery mechanisms. High-frequency trading and volatility modeling contribute to the market's liquidity risk management, while foreign exchange swaps and currency option valuation help manage risk. The market's complexities necessitate sophisticated risk management systems and intricate order routing optimization. Global payments systems facilitate the smooth transfer of funds, and liquidity risk management remains a critical concern for market participants. According to recent studies, The market is estimated to account for approximately USD6 trillion in daily trading volume, und

United States Spot Exchange Rate: Japanese Yen to US Dollar data was reported at 112.722 JPY/USD in Oct 2018. This records an increase from the previous number of 112.097 JPY/USD for Sep 2018. United States Spot Exchange Rate: Japanese Yen to US Dollar data is updated monthly, averaging 123.103 JPY/USD from Jan 1971 (Median) to Oct 2018, with 574 observations. The data reached an all-time high of 358.020 JPY/USD in Jan 1971 and a record low of 76.643 JPY/USD in Oct 2011. United States Spot Exchange Rate: Japanese Yen to US Dollar data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.M015: Spot Exchange Rate.

A graphic that displays the dollar performance against other currencies reveals that economic developments had mixed results on currency exchanges. The third quarter of 2023 marked a period of disinflation in the euro area, while China's projected growth was projected to go up. The United States economy was said to have a relatively strong performance in Q3 2023, although growing capital market interest rate and the resumption of student loan repayments might dampen this growth at the end of 2023. A relatively weak Japanese yen Q3 2023 saw pressure from investors towards Japanese authorities on how they would respond to the situation surrounding the Japanese yen. The USD/JPY rate was close to ***, whereas analysts suspected it should be around ** given the country's purchase power parity. The main reason for this disparity is said to be the differences in central bank interest rates between the United States, the euro area, and Japan. Any future aggressive changes from, especially the U.S. Fed might lower those differences. Financial markets responded somewhat disappoint when Japan did not announce major plans to tackle the situation. Potential rent decreases in 2024 Central bank rates peak in 2023, although it is expected that some of these will decline in early 2024. That said, analysts expect overall policies will remain restrictive. For example, the Bank of England's interest rate remained unchanged at **** percent in Q3 2023. It is believed the United Kingdom's central bank will ease its interest rate in 2024 but less than either the U.S. Fed or the European Central Bank. This should be a positive development for the pound compared to either the euro or the dollar.

The EUR/USD exchange rate rose to 1.1619 on December 2, 2025, up 0.08% from the previous session. Over the past month, the Euro US Dollar Exchange Rate - EUR/USD has strengthened 0.86%, and is up by 10.57% over the last 12 months. Euro US Dollar Exchange Rate - EUR/USD - values, historical data, forecasts and news - updated on December of 2025.

Key information about Japan Exchange Rate against USD

• Japan Exchange Rate against USD averaged 137.053 (USD/JPY) in May 2023, compared with 133.475 USD/JPY in the previous month.
• Japan Exchange Rate against USD data is updated monthly, available from Jan 1957 to May 2023.
• The data reached an all-time high of 360.000 in Dec 1970 and a record low of 76.643 in Oct 2011.

• In the latest reports, Japan Short Term Interest Rate: Month End: TIBOR: Japanese Yen: 3 Months was reported at 0.075 % pa in May 2023.
• Its Long Term Interest Rate (Bonds Yield: Government Bonds: Newly Issued: 10 Years: Month End) was reported at 0.390 % pa in Apr 2023.
• The cash rate (Policy Rate: Month End: Japan: Complementary Deposit Facility Interest Rate) was set at -0.100 % pa in May 2023.

Prices for HKDJPY Hong Kong Dollar Japanese Yen including live quotes, historical charts and news. HKDJPY Hong Kong Dollar Japanese Yen was last updated by Trading Economics this December 2 of 2025.