100+ datasets found
  1. Great Recession: UK government bailout of banking system in October 2008, by...

    • statista.com
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    Statista, Great Recession: UK government bailout of banking system in October 2008, by bank [Dataset]. https://www.statista.com/statistics/1347476/uk-bank-bailout-great-recession-financial-crisis/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2008
    Area covered
    United Kingdom
    Description

    With the onset of the Global Financial Crisis in the late Summer of 2007, the United Kingdom was one of the first countries to experience financial panic after the United States. In September 2007, the bank Northern Rock became the UK's first bank to collapse in 150 years due to a bank run, as depositors reacted to the announcement that the bank would be seeking emergency liquidity support from the Bank of England by lining up outside their bank branches to withdraw money. The failure of Northern Rock was a bad omen for the UK economy and financial sector, as banks stopped lending to each other and to customers in what became known as the 'credit crunch'. Government bailouts, private bailouts By October 2008, many UK banks were facing a situation where if they did not receive external assistance, then they would have to default on their debts and likely have to declare bankruptcy. The UK's Labour government, led by Prime Minister Gordon Brown, announced that it would provide emergency funds to stabilize the banking system, leading to the part or full nationalization of some of Britain's largest financial firms. Specifically, Royal Bank of Scotland, Lloyds TSB, and HBOS received over 35 billion pounds in a government cash injection, while Barclays opted to seek investment from private investors in order to avoid nationalization, much of which came from the state of Qatar. The bailouts caused UK government debt ratios to almost double over the period of the crisis, while public trust in the financial system sank.

  2. Financial Crisis and Statitical Classification

    • data.wu.ac.at
    • data.gov.uk
    • +1more
    html
    Updated Apr 26, 2014
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    Office for National Statistics (2014). Financial Crisis and Statitical Classification [Dataset]. https://data.wu.ac.at/schema/data_gov_uk/MThiYmUzNjktYTI1ZS00ZWVkLTk1YTgtNDNjYzk1ODY4NTAy
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    htmlAvailable download formats
    Dataset updated
    Apr 26, 2014
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    The classification of finiancial crisis interventions

    Source agency: Office for National Statistics

    Designation: Supporting material

    Language: English

    Alternative title: Financial Crisis and Statitical Classification

  3. Great Recession: unemployment rate in the G7 countries 2007-2011

    • statista.com
    Updated Nov 23, 2022
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    Statista (2022). Great Recession: unemployment rate in the G7 countries 2007-2011 [Dataset]. https://www.statista.com/statistics/1346779/unemployment-rate-g7-great-recession/
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    Dataset updated
    Nov 23, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2007 - 2011
    Area covered
    Worldwide
    Description

    With the collapse of the U.S. housing market and the subsequent financial crisis on Wall Street in 2007 and 2008, economies across the globe began to enter into deep recessions. What had started out as a crisis centered on the United States quickly became global in nature, as it became apparent that not only had the economies of other advanced countries (grouped together as the G7) become intimately tied to the U.S. financial system, but that many of them had experienced housing and asset price bubbles similar to that in the U.S.. The United Kingdom had experienced a huge inflation of housing prices since the 1990s, while Eurozone members (such as Germany, France and Italy) had financial sectors which had become involved in reckless lending to economies on the periphery of the EU, such as Greece, Ireland and Portugal. Other countries, such as Japan, were hit heavily due their export-led growth models which suffered from the decline in international trade. Unemployment during the Great Recession As business and consumer confidence crashed, credit markets froze, and international trade contracted, the unemployment rate in the most advanced economies shot up. While four to five percent is generally considered to be a healthy unemployment rate, nearing full employment in the economy (when any remaining unemployment is not related to a lack of consumer demand), many of these countries experienced rates at least double that, with unemployment in the United States peaking at almost 10 percent in 2010. In large countries, unemployment rates of this level meant millions or tens of millions of people being out of work, which led to political pressures to stimulate economies and create jobs. By 2012, many of these countries were seeing declining unemployment rates, however, in France and Italy rates of joblessness continued to increase as the Euro crisis took hold. These countries suffered from having a monetary policy which was too tight for their economies (due to the ECB controlling interest rates) and fiscal policy which was constrained by EU debt rules. Left with the option of deregulating their labor markets and pursuing austerity policies, their unemployment rates remained over 10 percent well into the 2010s. Differences in labor markets The differences in unemployment rates at the peak of the crisis (2009-2010) reflect not only the differences in how economies were affected by the downturn, but also the differing labor market institutions and programs in the various countries. Countries with more 'liberalized' labor markets, such as the United States and United Kingdom experienced sharp jumps in their unemployment rate due to the ease at which employers can lay off workers in these countries. When the crisis subsided in these countries, however, their unemployment rates quickly began to drop below those of the other countries, due to their more dynamic labor markets which make it easier to hire workers when the economy is doing well. On the other hand, countries with more 'coordinated' labor market institutions, such as Germany and Japan, experiences lower rates of unemployment during the crisis, as programs such as short-time work, job sharing, and wage restraint agreements were used to keep workers in their jobs. While these countries are less likely to experience spikes in unemployment during crises, the highly regulated nature of their labor markets mean that they are slower to add jobs during periods of economic prosperity.

  4. Business growth, access to finance and performance outcomes in the recession...

    • ckan.publishing.service.gov.uk
    Updated Jan 27, 2012
    + more versions
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    ckan.publishing.service.gov.uk (2012). Business growth, access to finance and performance outcomes in the recession - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/business-growth-finance-performance-in-recession
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    Dataset updated
    Jan 27, 2012
    Dataset provided by
    CKANhttps://ckan.org/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Data underlying the report of a study that assesses and quantifes the impacts of the financial crisis and subsequent global economic recession on the growth and performance of UK SME employers. Analyses existing data from two previous survey sources on SME employers in the pre-recession and recessionary periods. Covers how the problems in the banking sector have affected the supply of finance to the SME sector, and whether this has depressed business performance and investment. Looks at the impact of the recession has been more serious for particular types of entrepreneurs and businesses.

  5. b

    The uneven impact of the economic crisis on cities and households: Bristol...

    • data.bris.ac.uk
    Updated Oct 12, 2016
    + more versions
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    (2016). The uneven impact of the economic crisis on cities and households: Bristol and Liverpool compared - Datasets - data.bris [Dataset]. https://data.bris.ac.uk/data/dataset/b826b288ffbe076298323f390cfec648
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    Dataset updated
    Oct 12, 2016
    Area covered
    Bristol
    Description

    This project will explore the impact of the economic recession on cities and households through a systematic comparison of the experiences of two English cities, Bristol and Liverpool.The research will use both quantitative and qualitative approaches. Interviews will be held in both cities with stakeholders from across the public, private and voluntary and community sectors. A social survey of 1000 households will also be conducted in the two cities covering 10 specific household types. A series of in-depth qualitative interviews will then be held with households drawn from the survey and chosen to illustrate the spectrum of experience.In the context of globalisation and the rescaling of cities and states, the research aims to develop our understanding of the relationship between economic crisis, global connectivity and the transnational processes shaping cities and the everyday lives of residents. It will explore the 'capillary-like' impact of the crisis and austerity measures on local economic development, and local labour and housing markets, as well as highlight the intersecting realities of everyday life for households across the life course.The research will document the responses and coping strategies developed across different household types and evaluate the impact and effectiveness of 'anti-recession' strategies and policies.

  6. UK public opinion of British businesses following the financial crisis in...

    • statista.com
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    Statista, UK public opinion of British businesses following the financial crisis in June 2014 [Dataset]. https://www.statista.com/statistics/319807/uk-citizens-opinion-of-british-businesses-after-the-global-financial-crisis/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    This statistic shows the responses that adults from the United Kingdom (UK) gave when asked "To what extent do you agree or disagree with the following statement: 'The economic crisis has damaged my confidence in business as a whole'" as of June 2014. A large share of respondents (** percent) felt that the economic crisis had damaged their confidence in business as a whole, and a third of respondents felt neutral to the question.

  7. s

    Citation Trends for "Fiscal Policy Responses to the Economic Crisis in the...

    • shibatadb.com
    Updated Feb 6, 2025
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    Yubetsu (2025). Citation Trends for "Fiscal Policy Responses to the Economic Crisis in the UK and the US" [Dataset]. https://www.shibatadb.com/article/8Ytesh4i
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    Dataset updated
    Feb 6, 2025
    Dataset authored and provided by
    Yubetsu
    License

    https://www.shibatadb.com/license/data/proprietary/v1.0/license.txthttps://www.shibatadb.com/license/data/proprietary/v1.0/license.txt

    Time period covered
    2013
    Area covered
    United States, United Kingdom
    Variables measured
    New Citations per Year
    Description

    Yearly citation counts for the publication titled "Fiscal Policy Responses to the Economic Crisis in the UK and the US".

  8. Financial Services: Adapting to the Coronavirus (COVID-19) Outbreak

    • store.globaldata.com
    Updated Mar 31, 2020
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    GlobalData UK Ltd. (2020). Financial Services: Adapting to the Coronavirus (COVID-19) Outbreak [Dataset]. https://store.globaldata.com/report/financial-services-adapting-to-the-coronavirus-covid-19-outbreak/
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    Dataset updated
    Mar 31, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Global
    Description

    In the short term, the impact of COVID-19 on consumer financial services will be analogous to the global financial crisis of 2008-09, creating a period of economic paralysis and leaving a massive hole in banks’ balance sheets. Read More

  9. UK financial sector: GVA as a share of total UK economy 1990-2018

    • statista.com
    Updated Dec 8, 2022
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    Statista (2022). UK financial sector: GVA as a share of total UK economy 1990-2018 [Dataset]. https://www.statista.com/statistics/871556/uk-financial-sector-gross-value-added-share-of-total-economy/
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    Dataset updated
    Dec 8, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    This statistic shows the United Kingdom (UK) financial and insurance industries gross value added (GVA) as a share of the UK's total economic output. It can be seen that in the years running up to the global financial crisis the United Kingdoms finance and insurance industry became a major factor of its economic gross value added output. in 2009 (one year post financial crisis) the UK's finance and insurance industry accounted for nine percent of its GVA. Since then there has been a steady decrease amounting to 6.9 percent as of 2018. In 2017, London accounted for almost half of financial sectors GVA.

  10. Banks in Turmoil: Challenges Ahead for UK and EU Banking Sectors

    • ibisworld.com
    Updated Apr 20, 2023
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    IBISWorld (2023). Banks in Turmoil: Challenges Ahead for UK and EU Banking Sectors [Dataset]. https://www.ibisworld.com/blog/uk-eu-banks-in-turmoil/44/1126/
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    Dataset updated
    Apr 20, 2023
    Dataset authored and provided by
    IBISWorld
    Time period covered
    Apr 20, 2023
    Area covered
    European Union, United Kingdom
    Description

    The recent high-profile collapses of Silicon Valley Bank and Credit Suisse bring the health of the EU and UK banking sectors into question. Find out how strong they're looking.

  11. f

    Data Sheet 1_Does the tendency for “quiet quitting” differ across...

    • frontiersin.figshare.com
    pdf
    Updated Nov 25, 2025
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    Odessa S. Hamilton; Daniel Jolles; Grace Lordan (2025). Data Sheet 1_Does the tendency for “quiet quitting” differ across generations? Evidence from the UK.pdf [Dataset]. http://doi.org/10.3389/frbhe.2025.1539771.s001
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    pdfAvailable download formats
    Dataset updated
    Nov 25, 2025
    Dataset provided by
    Frontiers
    Authors
    Odessa S. Hamilton; Daniel Jolles; Grace Lordan
    License

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

    Area covered
    United Kingdom
    Description

    IntroductionThe post-COVID-19 phenomenon of “quiet quitting” could be problematic for UK economic growth because unpaid overtime has been a key contributor to business productivity since the 2008 global financial crisis. Here, we explore the extent to which this phenomenon exists in the UK, and whether the tendency for quiet quitting differs across generations.MethodsWe analyzed data from the UK Quarterly Labor Force Survey (QLFS) between 2007 and 2022 to determine changes in hours worked. Quiet quitting was characterized by notable declines in hours worked between 2019 and 2022, benchmarked against 20072018 trajectories. Analyses were demarcated by four commonly defined generational cohorts (i.e., Generation Z [GenZs; 1997–2004], Generation Y [Millennials; 1981–1996], Generation X [GenXers; 1965–1980], and Baby Boomers [1952–1964]).ResultsOverall, we found that the UK workforce reduced hours by ~28 h per year in the pandemic and post-pandemic periods. Hours lost was most notable in 2022, with hours down by ~36 h. However, in assessing generational differences, quiet quitting was most pronounced in the two younger cohorts. GenZs showed the steepest decline in hours worked, while Millennials worked the least number of hours overall, with no indication of recovery by the end of the study period. Hours declined for GenXers and Baby Boomers, but changes were more moderate, and Baby Boomers showed evidence of a possible rebound to pre-pandemic levels.DiscussionGiven the ~24,568 million UK full-time workers in 2022, our findings equate to over 55 million discretionary hours lost to the labor market per year between 2019 and 2022, 48.1% of which is accounted for by Millennials. Thus, we evidence that quiet quitting has interrupted the recovery of working hours in the UK to pre-pandemic levels, and lost hours are especially attributable to younger cohorts.JELJ24 J01.

  12. l

    Supplementary information files for Emerging stock market volatility and...

    • repository.lboro.ac.uk
    pdf
    Updated May 30, 2023
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    Menelaos Karanasos; Stavroula Yfanti; John Hunter (2023). Supplementary information files for Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises [Dataset]. http://doi.org/10.17028/rd.lboro.19739773.v1
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Loughborough University
    Authors
    Menelaos Karanasos; Stavroula Yfanti; John Hunter
    License

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

    Description

    Supplementary information files for the article Emerging stock market volatility and economic fundamentals: the importance of US uncertainty spillovers, financial and health crises

    Abstract: This paper studies the US and global economic fundamentals that exacerbate emerging stock markets volatility and can be considered as systemic risk factors increasing financial stability vulnerabilities. We apply the bivariate HEAVY system of daily and intra-daily volatility equations enriched with powers, leverage, and macro-effects that improve its forecasting accuracy significantly. Our macro-augmented asymmetric power HEAVY model estimates the inflammatory effect of US uncertainty and infectious disease news impact on equities alongside global credit and commodity factors on emerging stock index realized volatility. Our study further demonstrates the power of the economic uncertainty channel, showing that higher US policy uncertainty levels increase the leverage effects and the impact from the common macro-financial proxies on emerging markets’ financial volatility. Lastly, we provide evidence on the crucial role of both financial and health crisis events (the 2008 global financial turmoil and the recent Covid-19 pandemic) in raising markets’ turbulence and amplifying the volatility macro-drivers impact, as well.

  13. F

    Real-time Sahm Rule Recession Indicator

    • fred.stlouisfed.org
    json
    Updated Nov 20, 2025
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    (2025). Real-time Sahm Rule Recession Indicator [Dataset]. https://fred.stlouisfed.org/series/SAHMREALTIME
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    jsonAvailable download formats
    Dataset updated
    Nov 20, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Real-time Sahm Rule Recession Indicator (SAHMREALTIME) from Dec 1959 to Sep 2025 about recession indicators, academic data, and USA.

  14. Disposable income growth forecast UK 2019-2030

    • statista.com
    Updated Feb 18, 2025
    + more versions
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    Statista Research Department (2025). Disposable income growth forecast UK 2019-2030 [Dataset]. https://www.statista.com/topics/9121/cost-of-living-crisis-uk/
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    Dataset updated
    Feb 18, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United Kingdom
    Description

    Real household disposable income per person in the United Kingdom is expected to grow by 2.6 percent in 2024/25, with disposable income growth slowing from that point onwards. In 2022/23, disposable income fell by two percent, after falling by 0.1 percent in 2021/22, and 0.3 percent in 2020/21.

  15. T

    United Kingdom Bankruptcies

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 7, 2024
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    TRADING ECONOMICS (2024). United Kingdom Bankruptcies [Dataset]. https://tradingeconomics.com/united-kingdom/bankruptcies
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    xml, excel, json, csvAvailable download formats
    Dataset updated
    Mar 7, 2024
    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
    Mar 31, 1975 - Oct 31, 2025
    Area covered
    United Kingdom
    Description

    Bankruptcies in the United Kingdom increased to 2029 Companies in October from 1995 Companies in September of 2025. This dataset provides - United Kingdom Bankruptcies - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  16. From 1st to 3rd digits Benford’s Law on net annual income (UK sample).

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Dec 3, 2024
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    Shoaib Hassan; Muhammad Aksar; Maqbool Ahmad; Jana Kajanova (2024). From 1st to 3rd digits Benford’s Law on net annual income (UK sample). [Dataset]. http://doi.org/10.1371/journal.pone.0313611.t002
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    xlsAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Shoaib Hassan; Muhammad Aksar; Maqbool Ahmad; Jana Kajanova
    License

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

    Area covered
    United Kingdom
    Description

    From 1st to 3rd digits Benford’s Law on net annual income (UK sample).

  17. COVID-19 Impact on Banking - Thematic Research

    • store.globaldata.com
    Updated Apr 30, 2020
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    GlobalData UK Ltd. (2020). COVID-19 Impact on Banking - Thematic Research [Dataset]. https://store.globaldata.com/report/covid-19-impact-on-banking-thematic-research/
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    Dataset updated
    Apr 30, 2020
    Dataset provided by
    GlobalDatahttps://www.globaldata.com/
    Authors
    GlobalData UK Ltd.
    License

    https://www.globaldata.com/privacy-policy/https://www.globaldata.com/privacy-policy/

    Time period covered
    2020 - 2024
    Area covered
    Global
    Description

    COVID-19 is an economic shock analogous to the global financial crisis. Now, as then, there will be short-term changes as life, industry, and people adjust, but also more long-term structural changes that will live on long after COVID-19 has passed. This presents opportunities for decisive banks to right-size branch networks, optimize the digital experience, and establish sustainability credentials, thus emerging in a stronger position. But many banks will have been blindsided by this issue, which is evolving in fast and unpredictable ways. As in 2008, banks risk being immobilized by uncertainty, or getting caught in constant firefights that prevent a more considered, strategic response. And the costs of any missteps will be much higher than in 2008, as a variety of banking alternatives – including new digital banks, telcos, and tech companies – are poised and ready to grab market share. Read More

  18. Observations used in the study.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Dec 3, 2024
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    Shoaib Hassan; Muhammad Aksar; Maqbool Ahmad; Jana Kajanova (2024). Observations used in the study. [Dataset]. http://doi.org/10.1371/journal.pone.0313611.t001
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Shoaib Hassan; Muhammad Aksar; Maqbool Ahmad; Jana Kajanova
    License

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

    Description

    PurposeThe current research analyzes cosmetic earnings management practices in emerging and developed markets before and after the global financial crisis.Design/Methodology/ApproachUsing digital analysis, by applying Benford’s Law the study analyzes the earnings adjustments that exceed a key reference point to determine whether earnings management anomaly exists or not? Based on a sample of 87165 firm-year observations of UK, US, Brazil, Russia, India, China and Pakistan listed corporations.FindingsFindings show that the managers of emerging markets have more incentive to manipulate earnings than their counterparts from developed markets. Further, the implementation of strict governance and legislative measures after the global financial crisis have significantly reduced the opportunistic behaviour of managers to manipulate earnings. However, the impact is lesser in emerging markets as compared to UK and US.Research implicationsThe empirical findings of this research are useful for policy making and regulatory authorities, investors and other stakeholders as our findings shed light on the restriction of cosmetic earnings management practices.Originality/ValueFirst study that tried to capture the cosmetic earnings management practices in both emerging and developed countries and in both pre and post financial crisis scenario.

  19. UK humanitarian aid and spend in Syria

    • gov.uk
    Updated Oct 22, 2024
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    Foreign, Commonwealth & Development Office (2024). UK humanitarian aid and spend in Syria [Dataset]. https://www.gov.uk/government/statistics/uk-humanitarian-aid-and-spend-in-syria-factsheet
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    Dataset updated
    Oct 22, 2024
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Foreign, Commonwealth & Development Office
    Area covered
    Syria, United Kingdom
    Description

    This UK humanitarian aid and spend in Syria summary is published annually after the collection of results from the previous financial year. The publication provides:

    • an overview of the crisis
    • the FCDO response
    • a snapshot of key in-year results that reflect FCDO humanitarian programming priorities alongside some cumulative historic results for the entire crisis response

    Cumulative ODA spend related to the crisis is also included, reflecting ODA programming that has contributed to the crisis response.

    The publication contains an overview of humanitarian priorities by country who contribute ODA towards the crisis.

    View the previous version of these statistics: UK’s humanitarian aid response to the Syria crisis: factsheet (February 2023).

  20. d

    Replication Data for: All Keynesians now? Public support for countercyclical...

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
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    Hicks, Timothy; Barnes, Lucy (2023). Replication Data for: All Keynesians now? Public support for countercyclical government borrowing [Dataset]. http://doi.org/10.7910/DVN/MUPGQM
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    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Hicks, Timothy; Barnes, Lucy
    Description

    In the wake of the 2008 financial crisis, macroeconomic policy returned to the political agenda, and the influence of Keynesian ideas about fiscal stimulus rose (and then fell) in expert circles. Much less is known, however, about whether and when Keynesian prescriptions for countercyclical spending have any support among the general public. We use a survey experiment, fielded twice, to recover the extent to which UK respondents hold such countercyclical attitudes. Our results indicate that public opinion was countercyclical -- Keynesian -- in 2016. We then use Eurobarometer data to estimate the same basic parameter for the population for the period 2010-2017. The observational results validate our experimental findings for the later period, but also provide evidence that the UK population held procyclical views at the start of the period. Thus, there appear to be important dynamics in public opinion on a key macroeconomic policy issue.

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Statista, Great Recession: UK government bailout of banking system in October 2008, by bank [Dataset]. https://www.statista.com/statistics/1347476/uk-bank-bailout-great-recession-financial-crisis/
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Great Recession: UK government bailout of banking system in October 2008, by bank

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Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Oct 2008
Area covered
United Kingdom
Description

With the onset of the Global Financial Crisis in the late Summer of 2007, the United Kingdom was one of the first countries to experience financial panic after the United States. In September 2007, the bank Northern Rock became the UK's first bank to collapse in 150 years due to a bank run, as depositors reacted to the announcement that the bank would be seeking emergency liquidity support from the Bank of England by lining up outside their bank branches to withdraw money. The failure of Northern Rock was a bad omen for the UK economy and financial sector, as banks stopped lending to each other and to customers in what became known as the 'credit crunch'. Government bailouts, private bailouts By October 2008, many UK banks were facing a situation where if they did not receive external assistance, then they would have to default on their debts and likely have to declare bankruptcy. The UK's Labour government, led by Prime Minister Gordon Brown, announced that it would provide emergency funds to stabilize the banking system, leading to the part or full nationalization of some of Britain's largest financial firms. Specifically, Royal Bank of Scotland, Lloyds TSB, and HBOS received over 35 billion pounds in a government cash injection, while Barclays opted to seek investment from private investors in order to avoid nationalization, much of which came from the state of Qatar. The bailouts caused UK government debt ratios to almost double over the period of the crisis, while public trust in the financial system sank.

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