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The benchmark interest rate in New Zealand was last recorded at 3.75 percent. This dataset provides - New Zealand Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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New Zealand RBNZ Forecast: Offical Cash Rate: 1 Year Ahead data was reported at 3.230 % pa in Mar 2025. This records a decrease from the previous number of 3.330 % pa for Dec 2024. New Zealand RBNZ Forecast: Offical Cash Rate: 1 Year Ahead data is updated quarterly, averaging 1.870 % pa from Sep 2017 (Median) to Mar 2025, with 31 observations. The data reached an all-time high of 5.160 % pa in Sep 2023 and a record low of -0.160 % pa in Dec 2020. New Zealand RBNZ Forecast: Offical Cash Rate: 1 Year Ahead data remains active status in CEIC and is reported by Reserve Bank of New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.M004: Cash Rate: Forecast: Reserve Bank of New Zealand.
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Mortgage Interest Rate: Flexible data was reported at 7.000 % pa in 26 Mar 2025. This stayed constant from the previous number of 7.000 % pa for 25 Mar 2025. Mortgage Interest Rate: Flexible data is updated daily, averaging 8.750 % pa from Feb 2023 (Median) to 26 Mar 2025, with 784 observations. The data reached an all-time high of 8.750 % pa in 31 Jul 2024 and a record low of 7.000 % pa in 26 Mar 2025. Mortgage Interest Rate: Flexible data remains active status in CEIC and is reported by ANZ Bank New Zealand. The data is categorized under High Frequency Database’s Lending Rates – Table NZ.DL001: Mortgage Interest Rate.
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Deposit Interest Rate in New Zealand decreased to 4.31 percent in February from 4.33 percent in January of 2025. This dataset includes a chart with historical data for Deposit Interest Rate in New Zealand.
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Interbank Rate in New Zealand remained unchanged at 3.63 percent on Tuesday March 25. This dataset provides - New Zealand Three Month Interbank Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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New Zealand 10Y Bond Yield was 4.69 percent on Thursday March 27, according to over-the-counter interbank yield quotes for this government bond maturity. New Zealand 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on March of 2025.
Prices in New Zealand rose by 1.72 percent in 2020. Central bankers at the Reserve Bank of New Zealand were surely relieved to see the rebound from the dangerously low .29 percent inflation in 2015.
What is inflation?
Inflation is the rise in price levels in an economy. 2 percent inflation means 100 New Zealand dollars will be worth 98 dollars in one year. While the precise inflation target varies, most economists agree that inflation between 2 to 3 percent is optimal for an economy. High inflation can lead to higher unemployment because firms would rather wait and higher workers at the same price using future dollars, making the labor relatively cheaper. However, it affects the trade balance because of the relatively higher purchasing power of foreign currencies.
Other risks of inflation and deflation
Inflation helps a country with higher national debt when the debt is in the local currency, because the country can repay with the future dollars which are relatively cheaper. Deflation, then, helps when debts are in a foreign currency. The main problem with deflation is that investors prefer to hold their money, waiting to invest until it is worth more. This is particularly true of countries like New Zealand, where the lion’s share of employment is in the services sector.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
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Inflation Rate in New Zealand remained unchanged at 2.20 percent in the fourth quarter of 2024 from 2.20 percent in the third quarter of 2024. This dataset provides - New Zealand Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
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Key information about New Zealand Exchange Rate against USD
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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.
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)
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)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
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
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The NZDUSD increased 0.0011 or 0.20% to 0.5749 on Wednesday March 26 from 0.5738 in the previous trading session. New Zealand Dollar - values, historical data, forecasts and news - updated on March of 2025.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The benchmark interest rate in New Zealand was last recorded at 3.75 percent. This dataset provides - New Zealand Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.