The USD/JPY exchange rate rose to 145.0370 on July 3, 2025, up 1.06% from the previous session. Over the past month, the Japanese Yen has weakened 1.59%, but it's up by 10.11% over the last 12 months. Japanese Yen - values, historical data, forecasts and news - updated on July of 2025.

New Zealand ANZ Forecast: Foreign Exchange Rate: Japan Yen data was reported at 58.900 NZD/JPY in Jun 2020. This records a decrease from the previous number of 59.500 NZD/JPY for Mar 2020. New Zealand ANZ Forecast: Foreign Exchange Rate: Japan Yen data is updated quarterly, averaging 74.400 NZD/JPY from Mar 2015 (Median) to Jun 2020, with 22 observations. The data reached an all-time high of 88.600 NZD/JPY in Jun 2015 and a record low of 58.900 NZD/JPY in Jun 2020. New Zealand ANZ Forecast: Foreign Exchange Rate: Japan Yen 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.M015: Foreign Exchange Rate: Forecast: ANZ Bank Ltd.

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.

In the fiscal year 2021, the education technology (EdTech) market was forecast to reach around 267.4 billion Japanese yen, of which about 186.8 billion yen was from the market of subject-based learning contents. The overall EdTech market was projected to grow to nearly 362.5 billion yen by 2027.

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 July 5 of 2025.

In the fiscal year 2020, the value of the health technology market which is related to prevention and health control was forecast to reach around 71.5 billion Japanese yen. The overall health technology market was forecast to increase to approximately 270 billion yen by fiscal 2026. The digital healthcare market encompasses hardware, software, and services used for health, medical, and nursing care.

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.

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 July 2 of 2025.

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.

Japan's Nikkei Soars to 33-Year High on U.S. Debt Deal, Weak Yen

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

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

The foreign exchange (Forex) market is a global decentralized market for the trading of currencies. It is the largest financial market in the world, with an average daily trading volume of over $5 trillion. The market size is expected to reach $84 million by 2033, growing at a CAGR of 5.83% during the forecast period 2025-2033. Key drivers of the Forex market growth include increasing international trade, rising foreign direct investment, and growing demand for hedging and speculation. The market is also being driven by the increasing use of online trading platforms and the growing popularity of cryptocurrencies. The major players in the Forex market include Deutsche Bank, UBS, JP Morgan, State Street, XTX Markets, Jump Trading, Citi, Bank of New York Mellon, Bank America, and Goldman Sachs. The market is segmented by type (spot Forex, currency swap, outright forward, Forex swaps, Forex options, other types), counterparty (reporting dealers, other financial institutions, non-financial customers), and region (North America, South America, Europe, Middle East & Africa, Asia Pacific). Recent developments include: In November 2023, JP Morgan revealed the introduction of novel FX Warrants denominated in Hong Kong dollars in the Hong Kong market, marking its status as the inaugural issuer in Asia to present FX Warrants featuring CNH/HKD (Chinese Renminbi traded outside Mainland China/Hong Kong dollar) and JPY/HKD (Japanese Yen/Hong Kong dollar) as underlying currency pairs. These fresh FX Warrants are set to commence trading on the Hong Kong Stock Exchange., In October 2023, Deutsche Bank AG finalized its purchase of Numis Corporation Plc. The integration of both brands under the name 'Deutsche Numis' underscores their collective influence and standing in the UK and global markets. 'Deutsche Numis' emerges as a prominent entity in UK investment banking and the preferred advisor for UK-listed companies. This acquisition aligns with Deutsche Bank's Global Hausbank strategy, aiming to become the primary partner for clients in financial services and fostering stronger relationships with corporations throughout the United Kingdom., In June 2023, UBS successfully finalized the acquisition of Credit Suisse, marking a significant achievement. Credit Suisse Group AG has merged into UBS Group AG, forming a unified banking entity.. Key drivers for this market are: International Transactions Driven by Growing Tourism Driving Market Demand, Market Liquidity Impacting the Foreign Exchange Market. Potential restraints include: International Transactions Driven by Growing Tourism Driving Market Demand, Market Liquidity Impacting the Foreign Exchange Market. Notable trends are: FX Swaps is leading the market.

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.

Nikkei 225 Index Soars on Positive Economic Data and Weaker Yen

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

Japan JP: Purchasing Power Parity: National Currency per USD: Double Hit Scenario data was reported at 103.079 USD/JPY in Dec 2021. This stayed constant from the previous number of 103.079 USD/JPY for Sep 2021. Japan JP: Purchasing Power Parity: National Currency per USD: Double Hit Scenario data is updated quarterly, averaging 184.999 USD/JPY from Mar 1960 (Median) to Dec 2021, with 248 observations. The data reached an all-time high of 272.344 USD/JPY in Sep 1977 and a record low of 101.103 USD/JPY in Sep 2013. Japan JP: Purchasing Power Parity: National Currency per USD: Double Hit Scenario 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

In 2030, the market size for hydrogen is forecast to reach over one trillion Japanese yen. For 2050, the hydrogen market size is forecast to expand to over five trillion yen, making hydrogen the carbon-neutral fuel with the largest forecast market size.Japan is embarking on an ambitious journey to transition to renewable fuels as part of its broader strategy to achieve carbon neutrality by 2050. A central component of this strategy is the expansion of the hydrogen market to make it a cornerstone of Japan's renewable energy portfolio.  Long-term vision for Hydrogen Looking further ahead, by 2050, the hydrogen market size is expected to reach over 1.75 trillion Japanese yen. The integration of hydrogen into various sectors, including transportation, industrial processes, and power generation, is planned to further reduce greenhouse gas emissions and enhance energy security. However, despite the ambitious plans, the domestic production volume of hydrogen has remained at around the same level in recent years. Biofuels and renewable energy integration Next to hydrogen, biofuels also play a crucial role in the nation's decarbonization efforts. Japan is increasingly looking to biodiesel and bioethanol to reduce its carbon footprint in the transportation sector. For instance, Japan Railway plans to introduce biofuels such as biodiesel in all its diesel trains by 2030. Additionally, the production and utilization of solid biofuels for electricity generation have been growing steadily. The combination of hydrogen and biofuels, supported by the continued expansion of renewable energies, should help Japan to work towards its carbon neutrality goals and transition to a sustainable energy future. 

Forex: Monthly Avg: Singapore Dollars to Japanese Yen data was reported at 1.214 SGD/100 JPY in Nov 2018. This records a decrease from the previous number of 1.222 SGD/100 JPY for Oct 2018. Forex: Monthly Avg: Singapore Dollars to Japanese Yen data is updated monthly, averaging 1.368 SGD/100 JPY from Mar 1983 (Median) to Nov 2018, with 429 observations. The data reached an all-time high of 1.674 SGD/100 JPY in Apr 1995 and a record low of 0.866 SGD/100 JPY in Feb 1985. Forex: Monthly Avg: Singapore Dollars to Japanese Yen data remains active status in CEIC and is reported by Monetary Authority of Singapore. The data is categorized under Global Database’s Singapore – Table SG.M006: Foreign Exchange Rate.

Prices for JPYHKD Japanese Yen Hong Kong Dollar including live quotes, historical charts and news. JPYHKD Japanese Yen Hong Kong Dollar was last updated by Trading Economics this July 4 of 2025.

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.

(CCJI) Japan Income & Growth: Riding the Yen Wave?

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

Prices for ETHJPY Ethereum Japanese Yen including live quotes, historical charts and news. ETHJPY Ethereum Japanese Yen was last updated by Trading Economics this July 5 of 2025.

Interbank Rate in Japan remained unchanged at 0.77 percent on Friday July 4. This dataset provides - Japan Three Month Interbank Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.