22 datasets found
  1. New York Times Stock Market Crash Survey, October-November 1987

    • search.datacite.org
    • icpsr.umich.edu
    Updated 1990
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    The New York Times (1990). New York Times Stock Market Crash Survey, October-November 1987 [Dataset]. http://doi.org/10.3886/icpsr09215.v1
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    Dataset updated
    1990
    Dataset provided by
    DataCitehttps://www.datacite.org/
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    The New York Times
    Description

    This survey measures the public's attitudes towards political issues and the stock market crash of October 1987. Questions asked of respondents include whether the recent stock market crash would lead to a recession, how they would assess the condition of the national economy, whether the respondent would vote for the Democratic or the Republican candidate in the 1988 presidential election, and whether the respondent owned stock or shares in a mutual fund that invested in the stock market. Background information on individuals includes party affiliation, age, income, sex, marital status, education, and race.

  2. Weekly development Dow Jones Industrial Average Index 2020-2025

    • statista.com
    Updated Mar 15, 2025
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    Statista (2025). Weekly development Dow Jones Industrial Average Index 2020-2025 [Dataset]. https://www.statista.com/statistics/1104278/weekly-performance-of-djia-index/
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    Dataset updated
    Mar 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2020 - Mar 2, 2025
    Area covered
    United States
    Description

    The Dow Jones Industrial Average (DJIA) index dropped around ***** points in the four weeks from February 12 to March 11, 2020, but has since recovered and peaked at ********* points as of November 24, 2024. In February 2020 - just prior to the global coronavirus (COVID-19) pandemic, the DJIA index stood at a little over ****** points. U.S. markets suffer as virus spreads The COVID-19 pandemic triggered a turbulent period for stock markets – the S&P 500 and Nasdaq Composite also recorded dramatic drops. At the start of February, some analysts remained optimistic that the outbreak would ease. However, the increased spread of the virus started to hit investor confidence, prompting a record plunge in the stock markets. The Dow dropped by more than ***** points in the week from February 21 to February 28, which was a fall of **** percent – its worst percentage loss in a week since October 2008. Stock markets offer valuable economic insights The Dow Jones Industrial Average is a stock market index that monitors the share prices of the 30 largest companies in the United States. By studying the performance of the listed companies, analysts can gauge the strength of the domestic economy. If investors are confident in a company’s future, they will buy its stocks. The uncertainty of the coronavirus sparked fears of an economic crisis, and many traders decided that investment during the pandemic was too risky.

  3. Dow Jones: monthly value 1920-1955

    • statista.com
    Updated Jun 27, 2022
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    Statista (2022). Dow Jones: monthly value 1920-1955 [Dataset]. https://www.statista.com/statistics/1249670/monthly-change-value-dow-jones-depression/
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    Dataset updated
    Jun 27, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1920 - Dec 1955
    Area covered
    United States
    Description

    Throughout the 1920s, prices on the U.S. stock exchange rose exponentially, however, by the end of the decade, uncontrolled growth and a stock market propped up by speculation and borrowed money proved unsustainable, resulting in the Wall Street Crash of October 1929. This set a chain of events in motion that led to economic collapse - banks demanded repayment of debts, the property market crashed, and people stopped spending as unemployment rose. Within a year the country was in the midst of an economic depression, and the economy continued on a downward trend until late-1932.

    It was during this time where Franklin D. Roosevelt (FDR) was elected president, and he assumed office in March 1933 - through a series of economic reforms and New Deal policies, the economy began to recover. Stock prices fluctuated at more sustainable levels over the next decades, and developments were in line with overall economic development, rather than the uncontrolled growth seen in the 1920s. Overall, it took over 25 years for the Dow Jones value to reach its pre-Crash peak.

  4. Monthly development Dow Jones Industrial Average Index 2018-2025

    • statista.com
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    Statista, Monthly development Dow Jones Industrial Average Index 2018-2025 [Dataset]. https://www.statista.com/statistics/261690/monthly-performance-of-djia-index/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2018 - Jun 2025
    Area covered
    United States
    Description

    The 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.

  5. The Asian Correction Can Be Quantitatively Forecasted Using a Statistical...

    • plos.figshare.com
    pdf
    Updated Jun 2, 2023
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    Boon Kin Teh; Siew Ann Cheong (2023). The Asian Correction Can Be Quantitatively Forecasted Using a Statistical Model of Fusion-Fission Processes [Dataset]. http://doi.org/10.1371/journal.pone.0163842
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    pdfAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Boon Kin Teh; Siew Ann Cheong
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The Global Financial Crisis of 2007-2008 wiped out US$37 trillions across global financial markets, this value is equivalent to the combined GDPs of the United States and the European Union in 2014. The defining moment of this crisis was the failure of Lehman Brothers, which precipitated the October 2008 crash and the Asian Correction (March 2009). Had the Federal Reserve seen these crashes coming, they might have bailed out Lehman Brothers, and prevented the crashes altogether. In this paper, we show that some of these market crashes (like the Asian Correction) can be predicted, if we assume that a large number of adaptive traders employing competing trading strategies. As the number of adherents for some strategies grow, others decline in the constantly changing strategy space. When a strategy group grows into a giant component, trader actions become increasingly correlated and this is reflected in the stock price. The fragmentation of this giant component will leads to a market crash. In this paper, we also derived the mean-field market crash forecast equation based on a model of fusions and fissions in the trading strategy space. By fitting the continuous returns of 20 stocks traded in Singapore Exchange to the market crash forecast equation, we obtain crash predictions ranging from end October 2008 to mid-February 2009, with early warning four to six months prior to the crashes.

  6. F

    S&P 500

    • fred.stlouisfed.org
    json
    Updated Dec 1, 2025
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    (2025). S&P 500 [Dataset]. https://fred.stlouisfed.org/series/SP500
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    jsonAvailable download formats
    Dataset updated
    Dec 1, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Description

    View data of the S&P 500, an index of the stocks of 500 leading companies in the US economy, which provides a gauge of the U.S. equity market.

  7. T

    Japan Stock Market Index (JP225) Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Japan Stock Market Index (JP225) Data [Dataset]. https://tradingeconomics.com/japan/stock-market
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    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 5, 1965 - Dec 2, 2025
    Area covered
    Japan
    Description

    Japan's main stock market index, the JP225, rose to 49553 points on December 2, 2025, gaining 0.51% from the previous session. Over the past month, the index has declined 3.78%, though it remains 26.25% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Japan. Japan Stock Market Index (JP225) - values, historical data, forecasts and news - updated on December of 2025.

  8. T

    Israel Stock Market (TA-125) Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Feb 10, 2017
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    TRADING ECONOMICS (2017). Israel Stock Market (TA-125) Data [Dataset]. https://tradingeconomics.com/israel/stock-market
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    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Feb 10, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Oct 8, 1992 - Dec 2, 2025
    Area covered
    Israel
    Description

    Israel's main stock market index, the TA-125, rose to 3538 points on December 2, 2025, gaining 1.75% from the previous session. Over the past month, the index has climbed 4.40% and is up 50.06% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Israel. Israel Stock Market (TA-125) - values, historical data, forecasts and news - updated on December of 2025.

  9. Total trades executed and mini flash crashes during Control Period 1.

    • plos.figshare.com
    xls
    Updated Jun 2, 2023
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    Zachary S. Levine; Scott A. Hale; Luciano Floridi (2023). Total trades executed and mini flash crashes during Control Period 1. [Dataset]. http://doi.org/10.1371/journal.pone.0186688.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Zachary S. Levine; Scott A. Hale; Luciano Floridi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Total trades executed and mini flash crashes during Control Period 1.

  10. Weekly development S&P 500 Index 2024

    • statista.com
    Updated Feb 15, 2025
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    Statista (2025). Weekly development S&P 500 Index 2024 [Dataset]. https://www.statista.com/statistics/1104270/weekly-sandp-500-index-performance/
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    Dataset updated
    Feb 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2020 - Dec 29, 2024
    Area covered
    United States
    Description

    Between March 4 and March 11, 2020, the S&P 500 index declined by ** percent, descending into a bear market. On March 12, 2020, the S&P 500 plunged *** percent, its steepest one-day fall since 1987. The index began to recover at the start of April and reached a peak in December 2021. As of December 29, 2024, the value of the S&P 500 stood at ******** points. Coronavirus sparks stock market chaos Stock markets plunged in the wake of the COVID-19 pandemic, with investors fearing its spread would destroy economic growth. Buoyed by figures that suggested cases were leveling off in China, investors were initially optimistic about the virus being contained. However, confidence in the market started to subside as the number of cases increased worldwide. Investors were deterred from buying stocks, and this was reflected in the markets – the values of the Dow Jones Industrial Average and the Nasdaq Composite also dived during the height of the crisis. What is a bear market? A bear market occurs when the value of a stock market suffers a prolonged decline of more than 20 percent over a period of at least 2 months. The COVID-19 pandemic caused severe concern and sent stock markets on a steep downward spiral. The S&P 500 achieved a record closing high of ***** on February 19, 2020. However, just over 3 weeks later, the market closed on *****, which represented a decline of around ** percent in only 16 sessions.

  11. T

    Russia Stock Market Index MOEX CFD Data

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Oct 24, 2025
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    TRADING ECONOMICS (2025). Russia Stock Market Index MOEX CFD Data [Dataset]. https://tradingeconomics.com/russia/stock-market
    Explore at:
    json, csv, excel, xmlAvailable download formats
    Dataset updated
    Oct 24, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Sep 22, 1997 - Dec 2, 2025
    Area covered
    Russia
    Description

    Russia's main stock market index, the MOEX, fell to 2681 points on December 2, 2025, losing 0.20% from the previous session. Over the past month, the index has climbed 4.30% and is up 5.58% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Russia. Russia Stock Market Index MOEX CFD - values, historical data, forecasts and news - updated on December of 2025.

  12. Latin America: opinion on stock market prospects for 2022, by country

    • statista.com
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    Statista, Latin America: opinion on stock market prospects for 2022, by country [Dataset]. https://www.statista.com/statistics/1092862/public-opinion-stock-markets-latin-america/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 22, 2021 - Nov 6, 2021
    Area covered
    Latin America
    Description

    Up to 40 percent of the people from Chile who participated in a survey conducted by IPSOS said it was likely that major stock markets around the world would crash in 2022. This is the highest share among all the Latin American countries surveyed in October and November of 2021. Respondents in Brazil came in second, with 38 percent. Peruvians were the least pessimistic, with 45 percent of respondents answering this possibility was unlikely. Nevertheless, in the same study, most Latin American respondents said 2022 would be a better year than 2021.

  13. f

    DataSheet1_Identifying Risk Transmission in Carbon Market With Energy,...

    • frontiersin.figshare.com
    docx
    Updated Jun 4, 2023
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    Yufeng Chen; Chuwen Wang; Jiafeng Miao; Tanjun Zhou (2023). DataSheet1_Identifying Risk Transmission in Carbon Market With Energy, Commodity and Financial Markets: Evidence From Time-Frequency and Extreme Risk Spillovers.docx [Dataset]. http://doi.org/10.3389/fenrg.2022.922808.s001
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    docxAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    Frontiers
    Authors
    Yufeng Chen; Chuwen Wang; Jiafeng Miao; Tanjun Zhou
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The carbon market is a vital tool to achieve carbon neutrality. This paper uses daily closing price data of Shenzhen carbon trading market, energy, commodity and financial markets from 18 October 2018 to 19 August 2021, examining the transmission of risk/information from the perspective of market volatility spillover and tail risk transmission based on quantile spillover. The stock market crash and COVID-19 have increased the volatility of the system substantially. Next, the increase in trading frequency is accompanied by an increase in total volatility connectivity, and the carbon market transforms into a recipient of systemic shocks. Finally, the results of tail risk transmission reveal that the net effect of carbon reception increases significantly. These findings have implications for policymakers to improve the carbon market and provide important insights for investors to trade in turbulent periods.

  14. U.S.-China Trade Tensions Sink Global Shares Ahead of Summit - News and...

    • indexbox.io
    doc, docx, pdf, xls +1
    Updated Oct 1, 2025
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    IndexBox Inc. (2025). U.S.-China Trade Tensions Sink Global Shares Ahead of Summit - News and Statistics - IndexBox [Dataset]. https://www.indexbox.io/blog/global-shares-fall-as-us-china-trade-tensions-mount-ahead-of-summit/
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    pdf, doc, xls, docx, xlsxAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset provided by
    IndexBox
    Authors
    IndexBox Inc.
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2012 - Oct 14, 2025
    Area covered
    United States
    Variables measured
    Market Size, Market Share, Tariff Rates, Average Price, Export Volume, Import Volume, Demand Elasticity, Market Growth Rate, Market Segmentation, Volume of Production, and 4 more
    Description

    Analysis of global market downturn driven by escalating U.S.-China trade tensions ahead of crucial October summit, with safe haven assets rallying amid investor uncertainty.

  15. f

    S1 Data -

    • figshare.com
    xlsx
    Updated Jan 2, 2024
    + more versions
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    Yu Lou; Chao Xiao; Yi Lian (2024). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0296501.s001
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    xlsxAvailable download formats
    Dataset updated
    Jan 2, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Yu Lou; Chao Xiao; Yi Lian
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This study investigates the dynamic and asymmetric propagation of return spillovers between sectoral commodities and industry stock markets in China. Using a daily dataset from February 2007 to July 2022, we employ a time-varying vector autoregressive (TVP-VAR) model to examine the asymmetric return spillovers and dynamic connectedness across sectors. The results reveal significant time-varying spillovers among these sectors, with the industry stocks acting as the primary transmitter of information to the commodity market. Materials, energy, and industrials stock sectors contribute significantly to these spillovers due to their close ties to commodity production and processing. The study also identifies significant asymmetric spillovers with bad returns dominating, influenced by major economic and political events such as the 2008 global financial crisis, the 2015 Chinese stock market crisis, the COVID-19 pandemic, and the Russia-Ukraine war. Furthermore, our study highlights the unique dynamics within the Chinese market, where net information spillovers from the stock market to commodities drive the financialization process, which differs from the bidirectional commodity financialization observed in other markets. Finally, portfolio analysis reveals that the minimum connectedness portfolio outperforms other approaches and effectively reflects asymmetries. Understanding these dynamics and sectoral heterogeneities has important implications for risk management, policy development, and trading practices.

  16. T

    Pakistan Stock Market (KSE100) Data

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 15, 2025
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    TRADING ECONOMICS (2025). Pakistan Stock Market (KSE100) Data [Dataset]. https://tradingeconomics.com/pakistan/stock-market
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Nov 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 25, 1994 - Dec 2, 2025
    Area covered
    Pakistan
    Description

    Pakistan's main stock market index, the KSE 100, fell to 167838 points on December 2, 2025, losing 0.13% from the previous session. Over the past month, the index has climbed 3.09% and is up 60.52% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks this benchmark index from Pakistan. Pakistan Stock Market (KSE100) - values, historical data, forecasts and news - updated on December of 2025.

  17. Change in GDP in the U.S and European countries 1929-1938

    • statista.com
    Updated Dec 31, 1993
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    Statista (1993). Change in GDP in the U.S and European countries 1929-1938 [Dataset]. https://www.statista.com/statistics/1237792/europe-us-gdp-change-great-depression/
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    Dataset updated
    Dec 31, 1993
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe, United States
    Description

    Between the Wall Street Crash of 1929 and the end of the Great Depression in the late 1930s, the Soviet Union saw the largest growth in its gross domestic product, growing by more than 70 percent between 1929 and 1937/8. The Great Depression began in 1929 in the United States, following the stock market crash in late October. The inter-connectedness of the global economy, particularly between North America and Europe, then came to the fore as the collapse of the U.S. economy exposed the instabilities of other industrialized countries. In contrast, the economic isolation of the Soviet Union and its detachment from the capitalist system meant that it was relatively shielded from these events. 1929-1932 The Soviet Union was one of just three countries listed that experienced GDP growth during the first three years of the Great Depression, with Bulgaria and Denmark being the other two. Bulgaria experienced the largest GDP growth over these three years, increasing by 27 percent, although it was also the only country to experience a decline in growth over the second period. The majority of other European countries saw their GDP growth fall in the depression's early years. However, none experienced the same level of decline as the United States, which dropped by 28 percent. 1932-1938 In the remaining years before the Second World War, all of the listed countries saw their GDP grow significantly, particularly Germany, the Soviet Union, and the United States. Coincidentally, these were the three most powerful nations during the Second World War. This recovery was primarily driven by industrialization, and, again, the U.S., USSR, and Germany all experienced the highest level of industrial growth between 1932 and 1938.

  18. Annual GDP and real GDP for the United States 1929-2022

    • statista.com
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    Statista, Annual GDP and real GDP for the United States 1929-2022 [Dataset]. https://www.statista.com/statistics/1031678/gdp-and-real-gdp-united-states-1930-2019/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    On October 29, 1929, the U.S. experienced the most devastating stock market crash in it's history. The Wall Street Crash of 1929 set in motion the Great Depression, which lasted for twelve years and affected virtually all industrialized countries. In the United States, GDP fell to it's lowest recorded level of just 57 billion U.S dollars in 1933, before rising again shortly before the Second World War. After the war, GDP fluctuated, but it increased gradually until the Great Recession in 2008. Real GDP Real GDP allows us to compare GDP over time, by adjusting all figures for inflation. In this case, all numbers have been adjusted to the value of the US dollar in FY2012. While GDP rose every year between 1946 and 2008, when this is adjusted for inflation it can see that the real GDP dropped at least once in every decade except the 1960s and 2010s. The Great Recession Apart from the Great Depression, and immediately after WWII, there have been two times where both GDP and real GDP dropped together. The first was during the Great Recession, which lasted from December 2007 until June 2009 in the US, although its impact was felt for years after this. After the collapse of the financial sector in the US, the government famously bailed out some of the country's largest banking and lending institutions. Since recovery began in late 2009, US GDP has grown year-on-year, and reached 21.4 trillion dollars in 2019. The coronavirus pandemic and the associated lockdowns then saw GDP fall again, for the first time in a decade. As economic recovery from the pandemic has been compounded by supply chain issues, inflation, and rising global geopolitical instability, it remains to be seen what the future holds for the U.S. economy.

  19. Size of Federal Reserve's balance sheet 2007-2025

    • statista.com
    Updated Nov 7, 2025
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    Statista (2025). Size of Federal Reserve's balance sheet 2007-2025 [Dataset]. https://www.statista.com/statistics/1121448/fed-balance-sheet-timeline/
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    Dataset updated
    Nov 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 1, 2007 - Oct 29, 2025
    Area covered
    United States
    Description

    The Federal Reserve's balance sheet has undergone significant changes since 2007, reflecting its response to major economic crises. From a modest *** trillion U.S. dollars at the end of 2007, it ballooned to approximately **** trillion U.S. dollars by October 29, 2025. This dramatic expansion, particularly during the 2008 financial crisis and the COVID-19 pandemic—both of which resulted in negative annual GDP growth in the U.S.—showcases the Fed's crucial role in stabilizing the economy through expansionary monetary policies. Impact on inflation and interest rates The Fed's expansionary measures, while aimed at stimulating economic growth, have had notable effects on inflation and interest rates. Following the quantitative easing in 2020, inflation in the United States reached ***** percent in 2022, the highest since 1991. However, by August 2025, inflation had declined to *** percent. Concurrently, the Federal Reserve implemented a series of interest rate hikes, with the rate peaking at **** percent in August 2023, before the first rate cut since September 2021 occurred in September 2024. Financial implications for the Federal Reserve The expansion of the Fed's balance sheet and subsequent interest rate hikes have had significant financial implications. In 2024, the Fed reported a negative net income of ***** billion U.S. dollars, a stark contrast to the ***** billion U.S. dollars profit in 2022. This unprecedented shift was primarily due to rapidly rising interest rates, which caused the Fed's interest expenses to soar to over *** billion U.S. dollars in 2023. Despite this, the Fed's net interest income on securities acquired through open market operations reached a record high of ****** billion U.S. dollars in the same year.

  20. T

    Australia Stock Market Index Data

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Dec 2, 2025
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    TRADING ECONOMICS (2025). Australia Stock Market Index Data [Dataset]. https://tradingeconomics.com/australia/stock-market
    Explore at:
    json, xml, csv, excelAvailable download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 29, 1992 - Dec 2, 2025
    Area covered
    Australia
    Description

    Australia's main stock market index, the ASX200, fell to 8556 points on December 2, 2025, losing 0.11% from the previous session. Over the past month, the index has declined 3.81%, though it remains 0.71% higher than a year ago, according to trading on a contract for difference (CFD) that tracks this benchmark index from Australia. Australia Stock Market Index - values, historical data, forecasts and news - updated on December of 2025.

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The New York Times (1990). New York Times Stock Market Crash Survey, October-November 1987 [Dataset]. http://doi.org/10.3886/icpsr09215.v1
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New York Times Stock Market Crash Survey, October-November 1987

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Dataset updated
1990
Dataset provided by
DataCitehttps://www.datacite.org/
Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
Authors
The New York Times
Description

This survey measures the public's attitudes towards political issues and the stock market crash of October 1987. Questions asked of respondents include whether the recent stock market crash would lead to a recession, how they would assess the condition of the national economy, whether the respondent would vote for the Democratic or the Republican candidate in the 1988 presidential election, and whether the respondent owned stock or shares in a mutual fund that invested in the stock market. Background information on individuals includes party affiliation, age, income, sex, marital status, education, and race.

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