The benchmark interest rate in Australia was last recorded at 3.85 percent. This dataset provides - Australia Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Key Interest Rate: Central Banks data was reported at 3.350 % in 2026. This records a decrease from the previous number of 3.913 % for 2025. Key Interest Rate: Central Banks data is updated yearly, averaging 4.625 % from Dec 1990 (Median) to 2026, with 37 observations. The data reached an all-time high of 13.833 % in 1990 and a record low of 0.100 % in 2021. Key Interest Rate: Central Banks 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 Australia – Table AU.OECD.EO: Interest Rate: Forecast: OECD Member: Annual.

Forecast: Bank Lending Interest Rate in Australia 2024 - 2028 Discover more data with ReportLinker!

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

In April 2025, global inflation rates and central bank interest rates showed significant variation across major economies. Most economies initiated interest rate cuts from mid-2024 due to declining inflationary pressures. The U.S., UK, and EU central banks followed a consistent pattern of regular rate reductions throughout late 2024. In early 2025, Russia maintained the highest interest rate at 21 percent, while Japan retained the lowest at 0.5 percent. Varied inflation rates across major economies The inflation landscape varies considerably among major economies. China had the lowest inflation rate at -0.1 percent in April 2025. In contrast, Russia maintained a high inflation rate of 10.2 percent. These figures align with broader trends observed in early 2025, where China had the lowest inflation rate among major developed and emerging economies, while Russia's rate remained the highest. Central bank responses and economic indicators Central banks globally implemented aggressive rate hikes throughout 2022-23 to combat inflation. The European Central Bank exemplified this trend, raising rates from 0 percent in January 2022 to 4.5 percent by September 2023. A coordinated shift among major central banks began in mid-2024, with the ECB, Bank of England, and Federal Reserve initiating rate cuts, with forecasts suggesting further cuts through 2025 and 2026.

Key information about Australia Long Term Interest Rate

• Australia Government Bond Yield: Australian Government: 10 Years was reported at 4.42 % pa in Feb 2025, compared with 4.48 % pa in the previous month.
• Australia Long Term Interest Rate data is updated monthly, available from Jul 1969 to Feb 2025.
• The data reached an all-time high of 16.50 % pa in Aug 1982 and a record low of 0.80 % pa in Oct 2020.
• Long Term Interest Rate is reported by reported by Reserve Bank of Australia.

• In the latest reports, Australia Short Term Interest Rate: Month End: Bank Acceptance Bills Rates: 90 days was reported at 4.12 % pa in Feb 2025.
• The cash rate (Policy Rate: Month End: Cash Target Rate) was set at 4.10 % pa in Feb 2025.
• Australia Exchange Rate against USD averaged 1.49 (USD/AUD) in Jun 2023.

Interbank Rate in Australia decreased to 4 percent in May from 4.09 percent in April of 2025. This dataset provides - Australia Three Month Interbank Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Deposit Interest Rate in Australia decreased to 2.80 percent in May from 2.90 percent in April of 2025. This dataset includes a chart with historical data for Deposit Interest Rate in Australia.

Mortgage interest rates worldwide varied greatly in 2024, from less than **** percent in many European countries, to as high as ** percent in Turkey. The average mortgage rate in a country depends on the central bank's base lending rate and macroeconomic indicators such as inflation and forecast economic growth. Since 2022, inflationary pressures have led to rapid increase in mortgage interest rates. Which are the leading mortgage markets? An easy way to estimate the importance of the mortgage sector in each country is by comparing household debt depth, or the ratio of the debt held by households compared to the county's GDP. In 2023, Switzerland, Australia, and Canada had some of the highest household debt to GDP ratios worldwide. While this indicator shows the size of the sector relative to the country’s economy, the value of mortgages outstanding allows to compare the market size in different countries. In Europe, for instance, the United Kingdom, Germany, and France were the largest mortgage markets by outstanding mortgage lending. Mortgage lending trends in the U.S. In the United States, new mortgage lending soared in 2021. This was largely due to the growth of new refinance loans that allow homeowners to renegotiate their mortgage terms and replace their existing loan with a more favorable one. Following the rise in interest rates, the mortgage market cooled, and refinance loans declined.

AU: General Government: Gross Interest Receipts data was reported at 23.893 AUD bn in 2026. This records an increase from the previous number of 22.806 AUD bn for 2025. AU: General Government: Gross Interest Receipts data is updated yearly, averaging 6.152 AUD bn from Dec 1989 (Median) to 2026, with 38 observations. The data reached an all-time high of 23.893 AUD bn in 2026 and a record low of 1.808 AUD bn in 1997. AU: General Government: Gross Interest Receipts 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 Australia – Table AU.OECD.EO: Government Accounts: General Government: Forecast: OECD Member: Annual. GGINTR - Gross general government interest receiptsData refer to the general government sector, which is a consolidation of accounts for the central, state and local government plus social security

The Credit Card Issuance industry has contracted as the number of cards issued and balances accruing interest have fallen. Issuers have faced significant competition from other forms of payment like debit cards and BNPL services. The monthly value of debit card transactions has continued to surpass the monthly value of credit card transactions thanks to initiatives like the Reserve Bank of Australia's (RBA) least-cost routing initiative. BNPL services have also gained popularity with younger consumers who constitute a significant market for online sellers. That's why revenue is set to weaken by an annualised 5.3% over the five years through 2024-25, to $7.6 billion. To compete with sophisticated competition, credit card issuers have beefed up their reward and referral programs and integrated online payment, service and customer acquisition platforms into their operations. The Big Four banks dominate the industry and NAB's acquisition of Citigroup's Australian consumer banking business has expanded its collective market share. Economic conditions tied to inflationary pressures have ravaged consumer sentiment and appetites for spending through credit. Some customers have opted to pay down debt instead and have avoided taking on more. A sharp climb in interest rates over the past few years has compounded this dynamic, which is set to constrain industry performance in 2024-25, with revenue declining by an anticipated 0.9%. Credit card issuers' performance will improve over the coming years as economic conditions recover. Credit card issuance revenue is projected to expand at an annualised 2.0% through the end of 2029-30, to total $8.4 billion. The RBA is forecast to slash the cash rate once inflation falls within the central banks' target band, lifting credit card issuer profit margins as funding costs drop. Alternative payment methods, like BNPL services, debit transactions and other fintech solutions, are on track to sap away demand for credit cards. However, easing inflationary pressures and lower interest rates over the medium term are set to spur household consumption expenditure and credit card use. In response to the fierce competition, issuers will emphasise innovation and enhance their rewards and points systems to entice consumers.

This dataset provides values for REAL INTEREST RATE PERCENT WB DATA.HTML. reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Australia General Government: Net Interest Payments data was reported at 32.404 AUD bn in 2026. This records an increase from the previous number of 27.576 AUD bn for 2025. Australia General Government: Net Interest Payments data is updated yearly, averaging 5.821 AUD bn from Dec 1989 (Median) to 2026, with 38 observations. The data reached an all-time high of 32.404 AUD bn in 2026 and a record low of -4.878 AUD bn in 2008. Australia General Government: Net Interest Payments 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 Australia – Table AU.OECD.EO: Government Accounts: General Government: Forecast: OECD Member: Annual. GNINTP - Net general government interest payments

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

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.

NAB NATIONAL AUSTRALIA BANK LIMITED

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

Australia General Government: Gross Interest Payments data was reported at 56.297 AUD bn in 2026. This records an increase from the previous number of 50.383 AUD bn for 2025. Australia General Government: Gross Interest Payments data is updated yearly, averaging 11.791 AUD bn from Dec 1989 (Median) to 2026, with 38 observations. The data reached an all-time high of 56.297 AUD bn in 2026 and a record low of 5.303 AUD bn in 2006. Australia General Government: Gross Interest Payments 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 Australia – Table AU.OECD.EO: Government Accounts: General Government: Forecast: OECD Member: Annual. GGINTP - Gross general government interest paymentsData refer to the general government sector, which is a consolidation of accounts for the central, state and local government plus social security

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.

CBA COMMONWEALTH BANK OF AUSTRALIA.

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

The Finance sector's operating environment was previously characterised by record-low interest rates. Nonetheless, high inflation prompted the Reserve Bank of Australia (RBA) to hike the cash rate from May 2022 onwards. This shift allowed financial institutions to impose higher loan charges, propelling their revenue. Banks raised interest rates quicker than funding costs in the first half of 2022-23, boosting net interest margins. However, sophisticated competition and digital disruption have reshaped the sector and nibbled at the Big Four's dominance, weighing on ADIs' performance. In the first half of 2025, the fierce competition has forced ADIs to trim lending rates even ahead of RBA moves to protect their slice of the mortgage market. Higher cash rates initially widened net interest margins, but the expiry of cheap TFF funding and a fierce mortgage war are now compressing spreads, weighing on ADIs' profitability. Although ANZ's 2024 Suncorp Bank takeover highlights some consolidation, the real contest is unfolding in tech. Larger financial institutions are combatting intensified competition from neobanks and fintechs by upscaling their technology investments, strengthening their strategic partnerships with cloud providers and technology consulting firms and augmenting their digital offerings. Notable examples include the launch of ANZ Plus by ANZ and Commonwealth Bank's Unloan. Meanwhile, investor demand for rental properties, elevated residential housing prices and sizable state-infrastructure pipelines have continued to underpin loan growth, offsetting the drag from weaker mortgage affordability and volatile business sentiment. Overall, subdivision revenue is expected to rise at an annualised 8.3% over the five years through 2024-25, to $524.6 billion. This growth trajectory includes an estimated 4.8% decline in 2024-25 driven by rate cuts in 2025, which will weigh on income from interest-bearing assets. The Big Four banks will double down on technology investments and partnerships to counter threats from fintech startups and neobanks. As cybersecurity risks and APRA regulations evolve, financial institutions will gear up to strengthen their focus on shielding sensitive customer data and preserving trust, lifting compliance and operational costs. In the face of fierce competition, evolving regulations and shifting customer preferences, consolidation through M&As is poised to be a viable trend for survival and growth, especially among smaller financial institutions like credit unions. While rate cuts will challenge profitability within the sector, expansionary economic policies are poised to stimulate business and mortgage lending activity, presenting opportunities for strategic growth in a dynamic market. These trends are why Finance subdivision revenue is forecast to rise by an annualised 1.1% over the five years through the end of 2029-30, to $554.9 billion

This dataset contains news headlines relevant to key forex pairs: AUDUSD, EURCHF, EURUSD, GBPUSD, and USDJPY. The data was extracted from reputable platforms Forex Live and FXstreet over a period of 86 days, from January to May 2023. The dataset comprises 2,291 unique news headlines. Each headline includes an associated forex pair, timestamp, source, author, URL, and the corresponding article text. Data was collected using web scraping techniques executed via a custom service on a virtual machine. This service periodically retrieves the latest news for a specified forex pair (ticker) from each platform, parsing all available information. The collected data is then processed to extract details such as the article's timestamp, author, and URL. The URL is further used to retrieve the full text of each article. This data acquisition process repeats approximately every 15 minutes.

To ensure the reliability of the dataset, we manually annotated each headline for sentiment. Instead of solely focusing on the textual content, we ascertained sentiment based on the potential short-term impact of the headline on its corresponding forex pair. This method recognizes the currency market's acute sensitivity to economic news, which significantly influences many trading strategies. As such, this dataset could serve as an invaluable resource for fine-tuning sentiment analysis models in the financial realm.

We used three categories for annotation: 'positive', 'negative', and 'neutral', which correspond to bullish, bearish, and hold sentiments, respectively, for the forex pair linked to each headline. The following Table provides examples of annotated headlines along with brief explanations of the assigned sentiment.

Examples of Annotated Headlines


    Forex Pair
    Headline
    Sentiment
    Explanation




    GBPUSD 
    Diminishing bets for a move to 12400 
    Neutral
    Lack of strong sentiment in either direction


    GBPUSD 
    No reasons to dislike Cable in the very near term as long as the Dollar momentum remains soft 
    Positive
    Positive sentiment towards GBPUSD (Cable) in the near term


    GBPUSD 
    When are the UK jobs and how could they affect GBPUSD 
    Neutral
    Poses a question and does not express a clear sentiment


    JPYUSD
    Appropriate to continue monetary easing to achieve 2% inflation target with wage growth 
    Positive
    Monetary easing from Bank of Japan (BoJ) could lead to a weaker JPY in the short term due to increased money supply


    USDJPY
    Dollar rebounds despite US data. Yen gains amid lower yields 
    Neutral
    Since both the USD and JPY are gaining, the effects on the USDJPY forex pair might offset each other


    USDJPY
    USDJPY to reach 124 by Q4 as the likelihood of a BoJ policy shift should accelerate Yen gains 
    Negative
    USDJPY is expected to reach a lower value, with the USD losing value against the JPY


    AUDUSD

RBA Governor Lowe’s Testimony High inflation is damaging and corrosive

    Positive
    Reserve Bank of Australia (RBA) expresses concerns about inflation. Typically, central banks combat high inflation with higher interest rates, which could strengthen AUD.

Moreover, the dataset includes two columns with the predicted sentiment class and score as predicted by the FinBERT model. Specifically, the FinBERT model outputs a set of probabilities for each sentiment class (positive, negative, and neutral), representing the model's confidence in associating the input headline with each sentiment category. These probabilities are used to determine the predicted class and a sentiment score for each headline. The sentiment score is computed by subtracting the negative class probability from the positive one.

The global garlic market had total revenues of 15.88 billion USD in 2014, representing a compound annual growth rate (CAGR) of 3.4% from 2007 to 2014. In physical terms, the market reached 25 million tons.