The benchmark interest rate in Singapore was last recorded at 1.78 percent. This dataset provides the latest reported value for - Singapore Average Overnight Interest Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Singapore MAS Core Inflation: YoY data was reported at 1.500 % in Dec 2014. This stayed constant from the previous number of 1.500 % for Nov 2014. Singapore MAS Core Inflation: YoY data is updated monthly, averaging 1.800 % from Jan 1990 (Median) to Dec 2014, with 300 observations. The data reached an all-time high of 6.500 % in Jun 2008 and a record low of -1.400 % in Dec 2009. Singapore MAS Core Inflation: YoY 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.I017: MAS Core Inflation.

MAS Real Estate stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

Singapore MAS Core Inflation Index data was reported at 110.800 2009=100 in Dec 2014. This stayed constant from the previous number of 110.800 2009=100 for Nov 2014. Singapore MAS Core Inflation Index data is updated monthly, averaging 87.439 2009=100 from Jan 1990 (Median) to Dec 2014, with 300 observations. The data reached an all-time high of 110.800 2009=100 in Dec 2014 and a record low of 71.640 2009=100 in Mar 1990. Singapore MAS Core Inflation Index 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.I017: MAS Core Inflation.

Singapore MAS Forecast: 3-Month SIBOR: Mean data was reported at 1.940 % pa in Mar 2019. This records an increase from the previous number of 1.850 % pa for Dec 2018. Singapore MAS Forecast: 3-Month SIBOR: Mean data is updated quarterly, averaging 1.300 % pa from Dec 1999 (Median) to Mar 2019, with 78 observations. The data reached an all-time high of 6.800 % pa in Jun 2000 and a record low of 0.000 % pa in Mar 2014. Singapore MAS Forecast: 3-Month SIBOR: Mean 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.M005: Interbank Offered Rates: Forecast: Monetary Authority of Singapore: Survey of Professional Forecasters.

Masco reported $5.29B in Assets for its fiscal quarter ending in June of 2025. Data for Masco | MAS - Assets including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Masco reported 17.58 in PE Price to Earnings for its fiscal quarter ending in June of 2025. Data for Masco | MAS - PE Price to Earnings including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Masco reported 4M in Interest Income for its fiscal quarter ending in December of 2023. Data for Masco | MAS - Interest Income including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Singapore MAS Core Inflation: YoY (2019=100) data was reported at 1.800 % in Dec 2024. This records a decrease from the previous number of 1.900 % for Nov 2024. Singapore MAS Core Inflation: YoY (2019=100) data is updated monthly, averaging 1.700 % from Jan 1990 (Median) to Dec 2024, with 420 observations. The data reached an all-time high of 6.500 % in Jun 2008 and a record low of -1.400 % in Dec 2009. Singapore MAS Core Inflation: YoY (2019=100) 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.I031: MAS Core Inflation.

Masco stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

This line chart displays closing price by date using the aggregation sum. The data is filtered where the stock is MASS. The data is about stocks per day.

Singapore MAS: Profit or Loss: After Transfer to/from Provisions: Total data was reported at 23,111.000 SGD mn in 2018. This records an increase from the previous number of 6,398.000 SGD mn for 2017. Singapore MAS: Profit or Loss: After Transfer to/from Provisions: Total data is updated yearly, averaging 3,598.000 SGD mn from Dec 1998 (Median) to 2018, with 21 observations. The data reached an all-time high of 28,724.000 SGD mn in 2016 and a record low of -10,940.000 SGD mn in 2011. Singapore MAS: Profit or Loss: After Transfer to/from Provisions: Total 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.KB023: Consolidated Statement of Comprehensive Income: Monetary Authority of Singapore.

Porosity, dry bulk density, and average mass accumulation rates, and estimated date of the mid-point of each sediment interval were determined for ten sediment cores retrieved from Lake Lanier in 2018. Physical properties of the sediment (porosity, dry bulk density) were used to help define the pre-reservoir surface and determine the average mass accumulation rate of sediment. This will help to better understand the historical accumulation of sediment and nutrients at select locations in Lake Lanier. The locations were selected to provide supplement a larger study investigating the role of septic systems on Lake Lanier water quality. Sites were distributed among selected study coves (with residential septic systems adjacent to the lake) and included a reference cove without development. Potential users of this data should recognize the rationale driving the site selection process in the interpretation of the associated data collected. Furthermore, it is unknown whether the data from the selected sites are representative of the lake as a whole.

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.

Masco (MAS) Maintain Momentum?

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

MAS Forecast: MAS Core Inflation: YoY: Median data was reported at 2.000 % in Dec 2018. This records an increase from the previous number of 1.900 % for Sep 2018. MAS Forecast: MAS Core Inflation: YoY: Median data is updated quarterly, averaging 1.600 % from Jun 2012 (Median) to Dec 2018, with 27 observations. The data reached an all-time high of 2.800 % in Jun 2012 and a record low of 0.400 % in Mar 2016. MAS Forecast: MAS Core Inflation: YoY: Median 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.I019: MAS Core Inflation: Forecast: Monetary Authority of Singapore: Survey of Professional Forecasters.

This line chart displays highest price by date using the aggregation sum. The data is filtered where the stock is MA.SW. The data is about stocks per day.

Singapore MAS Forecast: MAS Core Inflation: YoY: Minimum data was reported at 1.500 % in Dec 2018. This stayed constant from the previous number of 1.500 % for Sep 2018. Singapore MAS Forecast: MAS Core Inflation: YoY: Minimum data is updated quarterly, averaging 1.300 % from Jun 2012 (Median) to Dec 2018, with 27 observations. The data reached an all-time high of 2.400 % in Jun 2012 and a record low of -0.100 % in Sep 2015. Singapore MAS Forecast: MAS Core Inflation: YoY: Minimum 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.I019: MAS Core Inflation: Forecast: Monetary Authority of Singapore: Survey of Professional Forecasters.

Masco reported $1.28B in Cost of Sales for its fiscal quarter ending in June of 2025. Data for Masco | MAS - Cost Of Sales including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Singapore MAS Forecast: MAS Core Inflation: YoY: Maximum data was reported at 2.200 % in Dec 2018. This records an increase from the previous number of 2.100 % for Sep 2018. Singapore MAS Forecast: MAS Core Inflation: YoY: Maximum data is updated quarterly, averaging 1.800 % from Jun 2012 (Median) to Dec 2018, with 27 observations. The data reached an all-time high of 3.000 % in Jun 2012 and a record low of 0.600 % in Mar 2016. Singapore MAS Forecast: MAS Core Inflation: YoY: Maximum 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.I019: MAS Core Inflation: Forecast: Monetary Authority of Singapore: Survey of Professional Forecasters.

Singapore MAS Forecast: MAS Core Inflation: YoY: Mean data was reported at 1.800 % in Dec 2019. This stayed constant from the previous number of 1.800 % for Sep 2019. Singapore MAS Forecast: MAS Core Inflation: YoY: Mean data is updated quarterly, averaging 1.700 % from Jun 2012 (Median) to Dec 2019, with 31 observations. The data reached an all-time high of 2.700 % in Jun 2012 and a record low of 0.400 % in Mar 2016. Singapore MAS Forecast: MAS Core Inflation: YoY: Mean 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.I019: MAS Core Inflation: Forecast: Monetary Authority of Singapore: Survey of Professional Forecasters.