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TwitterThe value of the DJIA index amounted to ****** at the end of June 2025, up from ********* at the end of March 2020. Global panic about the coronavirus epidemic caused the drop in March 2020, which was the worst drop since the collapse of Lehman Brothers in 2008. Dow Jones Industrial Average index – additional information The Dow Jones Industrial Average index is a price-weighted average of 30 of the largest American publicly traded companies on New York Stock Exchange and NASDAQ, and includes companies like Goldman Sachs, IBM and Walt Disney. This index is considered to be a barometer of the state of the American economy. DJIA index was created in 1986 by Charles Dow. Along with the NASDAQ 100 and S&P 500 indices, it is amongst the most well-known and used stock indexes in the world. The year that the 2018 financial crisis unfolded was one of the worst years of the Dow. It was also in 2008 that some of the largest ever recorded losses of the Dow Jones Index based on single-day points were registered. On September 29, 2008, for instance, the Dow had a loss of ****** points, one of the largest single-day losses of all times. The best years in the history of the index still are 1915, when the index value increased by ***** percent in one year, and 1933, year when the index registered a growth of ***** percent.
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United States Report On Business: NMI: Inventory Change Index data was reported at 53.500 NA in Jun 2018. This records a decrease from the previous number of 57.500 NA for May 2018. United States Report On Business: NMI: Inventory Change Index data is updated monthly, averaging 51.500 NA from Jul 1997 (Median) to Jun 2018, with 252 observations. The data reached an all-time high of 62.500 NA in May 2010 and a record low of 39.000 NA in Feb 2009. United States Report On Business: NMI: Inventory Change Index data remains active status in CEIC and is reported by Institute for Supply Management. The data is categorized under Global Database’s USA – Table US.S002: Institute for Supply Management: Non Manufacturing Index.
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TwitterThe labour market report is produced by Economic and Labour Market Statistics Branch which is part of the Northern Ireland Statistics and Research Agency (NISRA). It is published on a monthly basis with the latest labour market statistics for Northern Ireland.
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The "yahoo_finance_dataset(2018-2023)" dataset is a financial dataset containing daily stock market data for multiple assets such as equities, ETFs, and indexes. It spans from April 1, 2018 to March 31, 2023, and contains 1257 rows and 7 columns. The data was sourced from Yahoo Finance, and the purpose of the dataset is to provide researchers, analysts, and investors with a comprehensive dataset that they can use to analyze stock market trends, identify patterns, and develop investment strategies. The dataset can be used for various tasks, including stock price prediction, trend analysis, portfolio optimization, and risk management. The dataset is provided in XLSX format, which makes it easy to import into various data analysis tools, including Python, R, and Excel.
The dataset includes the following columns:
Date: The date on which the stock market data was recorded. Open: The opening price of the asset on the given date. High: The highest price of the asset on the given date. Low: The lowest price of the asset on the given date. Close*: The closing price of the asset on the given date. Note that this price does not take into account any after-hours trading that may have occurred after the market officially closed. Adj Close**: The adjusted closing price of the asset on the given date. This price takes into account any dividends, stock splits, or other corporate actions that may have occurred, which can affect the stock price. Volume: The total number of shares of the asset that were traded on the given date.
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The size of the Refrigeration Oil Market was valued at USD 1.3 Billion in 2023 and is projected to reach USD 1.78 Billion by 2032, with an expected CAGR of 4.6% during the forecast period. Recent developments include: October 2021: Daikin Industries stated to be interested in a breakthrough green technology to remain the world's top air conditioner producer by sales, as well as a new refrigerant to allow the Japanese business to join the electric car industry, as warming pushes demand for energy efficiency. Elon Musk, the CEO of Tesla, who has businesses ranging from space travel to brain chips, hinted to shareholders earlier this month that he would start a home heating, ventilation, and air conditioning (HVAC) system company., October 2017: Kuwait Petroleum International Ltd. and Idemitsu Kosan Co. Ltd. from Kuwait and Japan respectively built a business in Hanoi city of Vietnam called a service station business. They helped to boost the sales of companies by strengthening the procurement and production of petroleum products. This helped them outsource the product's market of the Pacific Rim., May 2018: L.N.G. Canada signed a deal with PETRONAS at about 25% to strengthen and increase the value chain, market share, and market value of the company's (PETRONAS) lubricant business.. Notable trends are: Growing adoption of environmentally friendly is driving the market growth.
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China Real Estate Inv: Source of Fund: Year to Date: Domestic Loan: Non-bank Financial Institution data was reported at 230,409.750 RMB mn in Jun 2018. This records an increase from the previous number of 187,983.040 RMB mn for May 2018. China Real Estate Inv: Source of Fund: Year to Date: Domestic Loan: Non-bank Financial Institution data is updated monthly, averaging 71,373.510 RMB mn from Jan 2006 (Median) to Jun 2018, with 150 observations. The data reached an all-time high of 475,646.950 RMB mn in Dec 2017 and a record low of 5,154.000 RMB mn in Feb 2006. China Real Estate Inv: Source of Fund: Year to Date: Domestic Loan: Non-bank Financial Institution data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKA: Real Estate Investment: Monthly: Summary.
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China Real Estate Inv: Source of Fund: YoY: Year to Date: Domestic Loan: Bank data was reported at -10.300 % in Jun 2018. This records a decrease from the previous number of -6.800 % for May 2018. China Real Estate Inv: Source of Fund: YoY: Year to Date: Domestic Loan: Bank data is updated monthly, averaging 12.600 % from Jan 2007 (Median) to Jun 2018, with 138 observations. The data reached an all-time high of 49.900 % in Dec 2009 and a record low of -11.500 % in Feb 2016. China Real Estate Inv: Source of Fund: YoY: Year to Date: Domestic Loan: Bank data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKA: Real Estate Investment: Monthly: Summary.
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China Real Estate Inv: Source of Fund: Year to Date data was reported at 13,297,094.000 RMB mn in Jun 2018. This records an increase from the previous number of 11,408,760.000 RMB mn for May 2018. China Real Estate Inv: Source of Fund: Year to Date data is updated monthly, averaging 3,474,921.000 RMB mn from Jan 2000 (Median) to Jun 2018, with 216 observations. The data reached an all-time high of 20,897,313.000 RMB mn in Dec 2017 and a record low of 84,910.000 RMB mn in Feb 2000. China Real Estate Inv: Source of Fund: Year to Date data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKA: Real Estate Investment: Monthly: Summary.
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China Real Estate Inv: Source of Fund: YoY: Year to Date data was reported at 6.700 % in Jun 2018. This records a decrease from the previous number of 6.900 % for May 2018. China Real Estate Inv: Source of Fund: YoY: Year to Date data is updated monthly, averaging 25.700 % from Jan 2003 (Median) to Jun 2018, with 186 observations. The data reached an all-time high of 80.100 % in Feb 2010 and a record low of -13.600 % in Feb 2015. China Real Estate Inv: Source of Fund: YoY: Year to Date data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKA: Real Estate Investment: Monthly: Summary.
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China Real Estate Inv: Source of Fund: Year to Date: Domestic Loan: Bank data was reported at 998,775.230 RMB mn in Jun 2018. This records an increase from the previous number of 832,101.690 RMB mn for May 2018. China Real Estate Inv: Source of Fund: Year to Date: Domestic Loan: Bank data is updated monthly, averaging 598,586.115 RMB mn from Jan 2006 (Median) to Jun 2018, with 150 observations. The data reached an all-time high of 2,048,529.150 RMB mn in Dec 2017 and a record low of 94,938.000 RMB mn in Feb 2006. China Real Estate Inv: Source of Fund: Year to Date: Domestic Loan: Bank data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKA: Real Estate Investment: Monthly: Summary.
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China Real Estate Inv: Source of Fund: Year to Date: Surplus Fund from Previous Year data was reported at 5,368,359.000 RMB mn in Jun 2018. This records an increase from the previous number of 5,208,437.000 RMB mn for May 2018. China Real Estate Inv: Source of Fund: Year to Date: Surplus Fund from Previous Year data is updated monthly, averaging 812,994.500 RMB mn from Jan 2000 (Median) to Jun 2018, with 216 observations. The data reached an all-time high of 5,368,359.000 RMB mn in Jun 2018 and a record low of 33,673.000 RMB mn in Feb 2000. China Real Estate Inv: Source of Fund: Year to Date: Surplus Fund from Previous Year data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKA: Real Estate Investment: Monthly: Summary.
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China Real Estate Inv: Source of Fund: YoY: Year to Date: Surplus Fund from Previous Year data was reported at 9.800 % in Jun 2018. This records an increase from the previous number of 9.200 % for May 2018. China Real Estate Inv: Source of Fund: YoY: Year to Date: Surplus Fund from Previous Year data is updated monthly, averaging 28.550 % from Jan 2003 (Median) to Jun 2018, with 186 observations. The data reached an all-time high of 92.100 % in Feb 2010 and a record low of -21.200 % in Feb 2015. China Real Estate Inv: Source of Fund: YoY: Year to Date: Surplus Fund from Previous Year data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under China Premium Database’s Real Estate Sector – Table CN.RKA: Real Estate Investment: Monthly: Summary.
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United States Report On Business: NMI: Inventory Sentiment: Too Low data was reported at 5.000 % in Jun 2018. This records an increase from the previous number of 3.000 % for May 2018. United States Report On Business: NMI: Inventory Sentiment: Too Low data is updated monthly, averaging 6.000 % from Jul 1997 (Median) to Jun 2018, with 252 observations. The data reached an all-time high of 15.000 % in Mar 2010 and a record low of 0.000 % in Jul 2017. United States Report On Business: NMI: Inventory Sentiment: Too Low data remains active status in CEIC and is reported by Institute for Supply Management. The data is categorized under Global Database’s USA – Table US.S002: Institute for Supply Management: Non Manufacturing Index.
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Singapore Amihud Measure data was reported at 0.001 % in May 2018. This records a decrease from the previous number of 0.002 % for Apr 2018. Singapore Amihud Measure data is updated monthly, averaging 0.001 % from Jul 2009 (Median) to May 2018, with 107 observations. The data reached an all-time high of 0.004 % in May 2011 and a record low of 0.000 % in Aug 2016. Singapore Amihud Measure 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.KB026: Financial Stability Review: Singapore Financial Sector. Box E: Assessing the Effects of Post-crisis Regulatory Reforms on Liquidity in the Singapore Government Securities and MAS Bills Market
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United States Private Sector Payroll: sa: Industry: Financial Activities data was reported at 8,555.812 Person th in Jun 2018. This records an increase from the previous number of 8,548.632 Person th for May 2018. United States Private Sector Payroll: sa: Industry: Financial Activities data is updated monthly, averaging 8,080.515 Person th from Mar 2001 (Median) to Jun 2018, with 208 observations. The data reached an all-time high of 8,555.812 Person th in Jun 2018 and a record low of 7,681.000 Person th in Mar 2011. United States Private Sector Payroll: sa: Industry: Financial Activities data remains active status in CEIC and is reported by Automatic Data Processing Inc. The data is categorized under Global Database’s USA – Table US.G045: ADP National Employment Report: New Methodology.
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India Corporate Debt Securities: Maturity more than 1 Year: Accepted Rating Review: Reaffirmed: Number of Issues data was reported at 604.000 Unit in Jun 2018. This records an increase from the previous number of 369.000 Unit for May 2018. India Corporate Debt Securities: Maturity more than 1 Year: Accepted Rating Review: Reaffirmed: Number of Issues data is updated monthly, averaging 310.000 Unit from Apr 2017 (Median) to Jun 2018, with 15 observations. The data reached an all-time high of 625.000 Unit in Sep 2017 and a record low of 137.000 Unit in May 2017. India Corporate Debt Securities: Maturity more than 1 Year: Accepted Rating Review: Reaffirmed: Number of Issues data remains active status in CEIC and is reported by Securities and Exchange Board of India. The data is categorized under India Premium Database’s Financial Market – Table IN.ZD047: Corporate Debt: Long Term Securities: by Accepted Ratings Review.
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Nigeria NG: Trade Balance: Advanced Economies: United Kingdom data was reported at -13.771 USD mn in May 2018. This records an increase from the previous number of -133.225 USD mn for Apr 2018. Nigeria NG: Trade Balance: Advanced Economies: United Kingdom data is updated monthly, averaging -48.061 USD mn from Jan 1960 (Median) to May 2018, with 550 observations. The data reached an all-time high of 357.339 USD mn in Aug 2013 and a record low of -360.408 USD mn in Nov 1981. Nigeria NG: Trade Balance: Advanced Economies: United Kingdom data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Nigeria – Table NG.IMF.DOT: Trade Balance: by Country: Monthly.
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India Corporate Debt Securities: Maturity more than 1 Year: Accepted Rating Review: Downgraded: Value data was reported at 276,595.700 INR mn in Jun 2018. This records a decrease from the previous number of 582,240.500 INR mn for May 2018. India Corporate Debt Securities: Maturity more than 1 Year: Accepted Rating Review: Downgraded: Value data is updated monthly, averaging 197,342.800 INR mn from Apr 2017 (Median) to Jun 2018, with 15 observations. The data reached an all-time high of 1,170,053.600 INR mn in May 2017 and a record low of 6,832.100 INR mn in Apr 2018. India Corporate Debt Securities: Maturity more than 1 Year: Accepted Rating Review: Downgraded: Value data remains active status in CEIC and is reported by Securities and Exchange Board of India. The data is categorized under India Premium Database’s Financial Market – Table IN.ZD047: Corporate Debt: Long Term Securities: by Accepted Ratings Review.
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Singapore Amihud Measure: Bond Liquidity Index data was reported at -1.786 % in May 2018. This records a decrease from the previous number of 0.292 % for Apr 2018. Singapore Amihud Measure: Bond Liquidity Index data is updated monthly, averaging 0.291 % from Aug 2012 (Median) to May 2018, with 70 observations. The data reached an all-time high of 3.005 % in Sep 2014 and a record low of -3.012 % in Aug 2016. Singapore Amihud Measure: Bond Liquidity 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.KB026: Financial Stability Review: Singapore Financial Sector.
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