50 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. 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.

  3. 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

  4. 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.

  5. m

    Macroeconomics in 3D: Three Sectoral Balances for 195 Countries, 1980-2024

    • data.mendeley.com
    Updated Oct 21, 2025
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    Jacob Assa (2025). Macroeconomics in 3D: Three Sectoral Balances for 195 Countries, 1980-2024 [Dataset]. http://doi.org/10.17632/jjhg4h6wks.1
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    Dataset updated
    Oct 21, 2025
    Authors
    Jacob Assa
    License

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

    Description

    This dataset provides information on the three macroeconomic sectoral balances, covering 195 countries over 45 years.

    Macroeconomic analysis often focuses on the 'twin deficits' - the government deficit and the current account deficit. This is an incomplete view which leaves out the private sector balance.

    The three sectoral balances must sum up to zero, by accounting identity (UN System of National Accounts 2008):

    (S – I) + (T – G) + (M – X) = 0

    Economists using the two-dimensional view have famously missed the global financial crisis, while those using accounting models covering all three sectoral balances were able to predict it (Bezemer 2010, Galbraith 2012). However, data on private sector deficits/surpluses is not readily available. Only the public and current account balances are published regularly by the IMF's World Economic Outlook.

    Beyond developed countries, looking at the private sector balance is critical for analyzing and crafting policies in developing countries. The frequently recommended policy of 'fiscal consolidation', i.e. reducing public deficits, is revealed in the sectoral balances to also reduce, ceteris paribus, the private sector surplus (or increase its deficit), slowing down or even reversing development and poverty reduction (Assa and Morgan 2025).

    The dataset was calculated based on two publicly available series from the IMF World Economic Outlook (downloaded October 2025): General government net lending/borrowing (coded as GOV) and Current account balance (coded as CAB). From this we calculated the private sector balance as PRV = CAB - GOV. We converted CAB to ROW (ROW = -CAB), the rest of the world balance, and made sure that ROW, GOV and PRV add up to zero as required by the national accounting identity. All years containing IMF forecasts were removed.

    References:

    Assa, J., & Morgan, M. (2025). The General Relativity of Fiscal Space: Theory and Applications. Review of Political Economy, 1-35.

    Bezemer, D. J. (2010). Understanding financial crisis through accounting models. Accounting, organizations and society, 35(7), 676-688.

    Galbraith, J. K. (2012). Who are these economists, anyway?. In Contributions in Stock-flow Modeling: Essays in Honor of Wynne Godley (pp. 63-75). London: Palgrave Macmillan UK.

    United Nations (2008). System of National Accounts 2008. https://unstats.un.org/unsd/nationalaccount/sna2008.asp

  6. f

    S1 Data -

    • figshare.com
    • plos.figshare.com
    xlsx
    Updated Jan 25, 2024
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    Xiaoyang Wang; Hui Guo; Muhammad Waris; Badariah Haji Din (2024). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0296712.s001
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    xlsxAvailable download formats
    Dataset updated
    Jan 25, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Xiaoyang Wang; Hui Guo; Muhammad Waris; Badariah Haji Din
    License

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

    Description

    The growing trend of interdependence between the international stock markets indicated the amalgamation of risk across borders that plays a significant role in portfolio diversification by selecting different assets from the financial markets and is also helpful for making extensive economic policy for the economies. By applying different methodologies, this study undertakes the volatility analysis of the emerging and OECD economies and analyzes the co-movement pattern between them. Moreover, with that motive, using the wavelet approach, we provide strong evidence of the short and long-run risk transfer over different time domains from Malaysia to its trading partners. Our findings show that during the Asian financial crisis (1997–98), Malaysia had short- and long-term relationships with China, Germany, Japan, Singapore, the UK, and Indonesia due to both high and low-frequency domains. Meanwhile, after the Global financial crisis (2008–09), it is being observed that Malaysia has long-term and short-term synchronization with emerging (China, India, Indonesia), OECD (Germany, France, USA, UK, Japan, Singapore) stock markets but Pakistan has the low level of co-movement with Malaysian stock market during the global financial crisis (2008–09). Moreover, it is being seen that Malaysia has short-term at both high and low-frequency co-movement with all the emerging and OECD economies except Japan, Singapore, and Indonesia during the COVID-19 period (2020–21). Japan, Singapore, and Indonesia have long-term synchronization relationships with the Malaysian stock market at high and low frequencies during COVID-19. While in a leading-lagging relationship, Malaysia’s stock market risk has both leading and lagging behavior with its trading partners’ stock market risk in the selected period; this behavior changes based on the different trade and investment flow factors. Moreover, DCC-GARCH findings shows that Malaysian market has both short term and long-term synchronization with trading partners except USA. Conspicuously, the integration pattern seems that the cooperation development between stock markets matters rather than the regional proximity in driving the cointegration. The study findings have significant implications for investors, governments, and policymakers around the globe.

  7. 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.

  8. 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.

  9. Quantitative easing by the Bank of England 2009-2020

    • statista.com
    Updated Apr 6, 2020
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    Statista (2020). Quantitative easing by the Bank of England 2009-2020 [Dataset]. https://www.statista.com/statistics/1105570/value-of-quantitative-easing-by-the-bank-of-england-in-the-united-kingdom/
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    Dataset updated
    Apr 6, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2009 - Nov 2020
    Area covered
    United Kingdom
    Description

    One of the major duties the Bank of England (BoE) is tasked with is keeping inflation rates low and stable. The usual tactic for keeping inflation rates down, and therefore the price of goods and services stable by the Bank of England is through lowering the Bank Rate. Such a measure was used in 2008 during the global recession when the BoE lowered the bank base rate from **** percent to *** percent. Due to the economic fears surrounding the COVID-19 virus, as of the 19th of March 2020, the bank base rate was set to its lowest ever standing. The issue with lowering interest rates is that there is an end limit as to how low they can go. Quantitative easing Quantitative easing is a measure that central banks can use to inject money into the economy to hopefully boost spending and investment. Quantitative easing is the creation of digital money in order to purchase government bonds. By purchasing large amounts of government bonds, the interest rates on those bonds lower. This in turn means that the interest rates offered on loans for the purchasing of mortgages or business loans also lowers, encouraging spending and stimulating the economy. Large enterprises jump at the opportunity After the initial stimulus of *** billion British pounds through quantitative easing in March 2020, the Bank of England announced in June that they would increase the amount by a further 100 billion British pounds. In March of 2020, the headline flow of borrowing by non-financial industries including construction, transport, real estate and the manufacturing sectors increased significantly.

  10. Great Recession: general government debt as a percentage of GDP for the G7

    • statista.com
    Updated Oct 15, 2022
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    Statista (2022). Great Recession: general government debt as a percentage of GDP for the G7 [Dataset]. https://www.statista.com/statistics/1347205/great-recession-general-government-debt-g7/
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    Dataset updated
    Oct 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2007 - 2011
    Area covered
    Worldwide
    Description

    During the Great Recession of 2008-2009, the advanced economies of the G7 experienced a period of acute financial crises, downturns in the non-financial economy, and political instability. The governments of these countries in many cases stepped in to backstop their financial sectors and to try to stimulate their economies. The scale of these interventions was large by historical standards, with observers making comparisons to the measures of the New Deal which the U.S. undertook in the 1930s to end the Great Depression.

    The bailouts of financial institutions and stimulus packages caused the government debt ratios of the United States, United Kingdom, and Japan in particular to rise sharply. The UK's government debt ratio almost doubled due to the bailouts of Northern Rock and Royal Bank of Scotland. On the other hand, the increases in government debt in the Eurozone were more measured, due to the comparative absence of stimulus spending in these countries. They would later be hit hard during the Eurozone crisis of the 2010s, when bank lending to the periphery of the Eurozone (Portugal, Spain, Ireland and Greece in particular) would trigger a sovereign debt crisis. The Canadian government, led by a Conservative premier, engaged in some fiscal stimulus to support its economy, but these packages were small in comparison to that in most other of the G7 countries.

  11. Direct Real Estate Activities in the UK - Market Research Report (2015-2030)...

    • ibisworld.com
    Updated Jul 15, 2025
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    IBISWorld (2025). Direct Real Estate Activities in the UK - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-kingdom/industry/direct-real-estate-activities/200281/
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    Dataset updated
    Jul 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United Kingdom
    Description

    The Direct Real Estate Activities industry have come up against numerous headwinds in recent years, ranging from the COVID-19 outbreak in 2020 to the high base rate environment in the years since, which has inflated borrowing costs for potential buyers. This is a sharp contrast to the ultra-low interest environment seen over the decade following the 2008 financial crisis. Still, revenue is forecast to edge upwards at a compound annual rate of 0.6% over the five years through 2025 to €622.9 billion, including an anticipated rise of 0.8% in 2025. Despite weak revenue growth, profitability remains strong, with the average industry profit margin standing at an estimated 18.9% in 2025. Central banks across Europe adopted aggressive monetary policy in the two years through 2023 in an effort to curb spiralling inflation. This ratcheted up borrowing costs and hit the real estate sector. In the residential property market, mortgage rates picked up and hit housing transaction levels. However, the level of mortgage rate hikes has varied across Europe, with the UK experiencing the largest rise, meaning the dent to UK real estate demand was more pronounced. Commercial real estate has also struggled due to inflationary pressures, supply chain disruptions and rising rates. Alongside this, the market’s stock of office space isn’t able to satisfy business demand, with companies placing a greater emphasis on high-quality space and environmental impact. Properties in many areas haven't been suitable due to their lack of green credentials. Nevertheless, things are looking up, as interest rates have been falling across Europe over the two years through 2025, reducing borrowing costs and boosting the number of property transactions, which is aiding revenue growth for estate agents. Revenue is slated to grow at a compound annual rate of 4.5% over the five years through 2030 to €777.6 billion. Economic conditions are set to improve in the short term, which will boost consumer and business confidence, ramping up the number of property transactions in both the residential and commercial real estate markets. However, estate agents may look to adjust their offerings to align with the data centre boom to soak up the demand from this market, while also adhering to sustainability commitments.

  12. Correlation matrix.

    • plos.figshare.com
    xls
    Updated Jan 25, 2024
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    Xiaoyang Wang; Hui Guo; Muhammad Waris; Badariah Haji Din (2024). Correlation matrix. [Dataset]. http://doi.org/10.1371/journal.pone.0296712.t002
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    xlsAvailable download formats
    Dataset updated
    Jan 25, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Xiaoyang Wang; Hui Guo; Muhammad Waris; Badariah Haji Din
    License

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

    Description

    The growing trend of interdependence between the international stock markets indicated the amalgamation of risk across borders that plays a significant role in portfolio diversification by selecting different assets from the financial markets and is also helpful for making extensive economic policy for the economies. By applying different methodologies, this study undertakes the volatility analysis of the emerging and OECD economies and analyzes the co-movement pattern between them. Moreover, with that motive, using the wavelet approach, we provide strong evidence of the short and long-run risk transfer over different time domains from Malaysia to its trading partners. Our findings show that during the Asian financial crisis (1997–98), Malaysia had short- and long-term relationships with China, Germany, Japan, Singapore, the UK, and Indonesia due to both high and low-frequency domains. Meanwhile, after the Global financial crisis (2008–09), it is being observed that Malaysia has long-term and short-term synchronization with emerging (China, India, Indonesia), OECD (Germany, France, USA, UK, Japan, Singapore) stock markets but Pakistan has the low level of co-movement with Malaysian stock market during the global financial crisis (2008–09). Moreover, it is being seen that Malaysia has short-term at both high and low-frequency co-movement with all the emerging and OECD economies except Japan, Singapore, and Indonesia during the COVID-19 period (2020–21). Japan, Singapore, and Indonesia have long-term synchronization relationships with the Malaysian stock market at high and low frequencies during COVID-19. While in a leading-lagging relationship, Malaysia’s stock market risk has both leading and lagging behavior with its trading partners’ stock market risk in the selected period; this behavior changes based on the different trade and investment flow factors. Moreover, DCC-GARCH findings shows that Malaysian market has both short term and long-term synchronization with trading partners except USA. Conspicuously, the integration pattern seems that the cooperation development between stock markets matters rather than the regional proximity in driving the cointegration. The study findings have significant implications for investors, governments, and policymakers around the globe.

  13. f

    Data from: Influence of foreign institutional holding on corporate...

    • tandf.figshare.com
    • datasetcatalog.nlm.nih.gov
    docx
    Updated Jan 24, 2024
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    Souvik Banerjee; Amarnath Mitra; Sangram Kesari Jena; Debaditya Mohanti (2024). Influence of foreign institutional holding on corporate risk-return profile: a panel quantile regression analysis [Dataset]. http://doi.org/10.6084/m9.figshare.25052797.v1
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jan 24, 2024
    Dataset provided by
    Taylor & Francis
    Authors
    Souvik Banerjee; Amarnath Mitra; Sangram Kesari Jena; Debaditya Mohanti
    License

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

    Description

    The study investigates the influence of foreign institutional investment on the risk-return profile of firms. Corporate risk is analyzed as business risk and financial risk in this study. The impact of foreign institutional investor’s (FII) holding on business and financial risk taking behavior is studied on 174 listed non-financial firms in India using panel quantile regression methodology for a span of 20 years which include the pre and post 2008 financial crisis periods as well. Panel fixed effect model was found to be appropriate in this study The impact of FII holding is also studied through the distribution of the risk through panel quantile regression. The impact of FII holding on risk taking behaviour of the firms is studied primarily across high, average and low proportion of corporate risk. Overall FII holding has an inverse relationship with corporate risk taking behavior of firms. The positive impact of FII holding across all types of firms in terms of the risk-return profile indicates that their presence is long term and reduces risk taking behaviour of the corresponding firm. The implications of this study will be significant in regulating FII inflows and outflows to ensure discipline on the part of firm management in improving its risk-return profile.

  14. Investment Trusts in the UK - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Jul 13, 2025
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    IBISWorld (2025). Investment Trusts in the UK - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-kingdom/industry/investment-trusts/3687
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    Dataset updated
    Jul 13, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United Kingdom
    Description

    Investment trusts have navigated a turbulent environment over recent years, characterised by regulatory changes and uncertain economic conditions. While demand for investment trusts has stayed fairly strong, alternative investment vehicles like open-ended investment companies have put pressure with their competitive prices, encouraging investment trusts to band together through consolidation to drive down fees charged thanks to economies of scale. Revenue is expected to grow at a compound annual rate of 2.9% over the five years through 2025-26 to £1.7 billion, including estimated growth of 6.5% in 2025-26, while the average industry profit margin is anticipated to be 27.4%. After the financial crisis in 2008, ultra-low interest rates supported equity growth as investors sought attractive returns from companies supported by cheap lending rates. This environment came to an end in 2022, as interest rates picked up rapidly amid spiralling inflation. As a result, bond values plummeted, and stock markets recorded lacklustre growth, hurting investment income. Although the rising base rate environment persisted into 2023-24, investors priced in rate cuts near the end of 2023, triggering a rally in stock markets. Capital also flowed into bonds as investors sought to lock in higher yields before they would potentially decline in 2024-25. In 2025-26, trusts will likely limit their exposure to US markets despite healthy growth seen from big tech firms in 2024-25, cautious of US fiscal policy, rising debt and the risk that trade tariffs will trigger a recession. Bond markets will also remain volatile, with markets unsure about the speed of rate cuts amid trade tensions. However, a declining base rate environment will drive prices up and support returns for investment trusts. Investment trust revenue is expected to grow at a compound annual rate of 4.6% over the five years through 2029-30 to £2.1 billion. Investors will continue to reduce their exposure to the dollar, with the European Stoxx index positioned for healthy growth in the short term, being seen as an effective safe haven in uncertain times. However, regulatory changes proposed by the Financial Conduct Authority have been contentious, putting investment trusts at a disadvantage to alternative investment vehicles like OEICs. Investment trusts will seek acquisitive growth, using mergers and acquisitions to minimise fixed costs through scale and ramp up competitiveness.

  15. Structured Finance Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    pdf
    Updated May 17, 2025
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    Technavio (2025). Structured Finance Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, and UK), APAC (Australia, China, India, Japan, and South Korea), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/structured-finance-market-industry-analysis
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    pdfAvailable download formats
    Dataset updated
    May 17, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    Europe, Germany, Canada, United Kingdom, United States
    Description

    Snapshot img

    Structured Finance Market Size 2025-2029

    The structured finance market size is valued to increase by USD 1128.5 billion, at a CAGR of 11.9% from 2024 to 2029. Increasing demand for alternative investment products will drive the structured finance market.

    Major Market Trends & Insights

    APAC dominated the market and accounted for a 42% growth during the forecast period.
    By End-user - Large enterprises segment was valued at USD 771.40 billion in 2023
    By Type - CDO segment accounted for the largest market revenue share in 2023
    

    Market Size & Forecast

    Market Opportunities: USD 163.86 billion
    Market Future Opportunities: USD 1128.50 billion
    CAGR from 2024 to 2029 : 11.9%
    

    Market Summary

    The market is witnessing significant growth due to the increasing demand for alternative investment products. This trend is driven by investors' quest for yield and risk diversification, particularly in an era of low-interest rates. One notable development in this space is the increasing popularity of Environmental, Social, and Governance (ESG) linked structured finance products. These instruments offer investors the opportunity to align their investments with their values while also potentially achieving attractive returns. Another factor fueling market growth is the increasing complexity of structured finance products. As financial institutions seek to innovate and differentiate themselves, they are developing increasingly sophisticated structures to meet the evolving needs of their clients.
    For instance, a leading global manufacturing company recently optimized its supply chain financing by implementing a structured finance solution. This enabled the company to improve its working capital position and enhance operational efficiency, resulting in a significant reduction in days sales outstanding (DSO) by 15%. Despite these opportunities, the market faces challenges, including regulatory compliance and counterparty risk. As financial regulations continue to evolve, institutions must ensure that their structured products comply with the latest rules and regulations. Additionally, managing counterparty risk remains a critical concern, particularly in the wake of the 2008 financial crisis. To mitigate these risks, institutions are increasingly leveraging technology and Data Analytics to assess and monitor counterparty risk in real-time.
    In conclusion, the market is experiencing robust growth, driven by increasing demand for alternative investment products and the development of innovative structures. While challenges persist, institutions that can effectively navigate the complex regulatory landscape and manage counterparty risk will be well-positioned to capitalize on the opportunities in this dynamic market.
    

    What will be the Size of the Structured Finance Market during the forecast period?

    Get Key Insights on Market Forecast (PDF) Request Free Sample

    How is the Structured Finance Market Segmented ?

    The structured finance industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    End-user
    
      Large enterprises
      SMEs
    
    
    Type
    
      CDO
      Asset-backed securities
      Mortgage-backed securities
    
    
    Product
    
      Loans
      Bonds
      Mortgages
      Credit card and trade receivables
      Others
    
    
    Application Type
    
      Real Estate
      Automotive
      Consumer Credit
      Infrastructure
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        UK
    
    
      APAC
    
        Australia
        China
        India
        Japan
        South Korea
    
    
      Rest of World (ROW)
    

    By End-user Insights

    The large enterprises segment is estimated to witness significant growth during the forecast period.

    In the dynamic world of structured finance, major enterprises play a pivotal role, engaging in intricate financing agreements to manage their capital and mitigate risk. Structured finance transactions involve the combination of various financial instruments, including bonds, mortgages, and loans, which are then securitized and sold to investors. This process enables businesses to raise capital by transferring related risks, with large businesses often serving as the original creators of the underlying assets. The market is characterized by ongoing activities and evolving patterns. For instance, portfolio risk management strategies involve the use of credit derivatives, such as credit default swaps and interest rate swaps, for hedging purposes.

    Leveraged finance and Private Equity financing employ synthetic securitization techniques, like structured notes and synthetic collateralized debt obligations, to optimize capital structures. Credit rating agencies assess credit risk, while investment grade ratings provide benchmarks for investors. Liquidity management and due diligence processes

  16. D

    Replication Data for: Elective Stock and Scrip Dividend

    • dataverse.nl
    • portalcientifico.unileon.es
    • +1more
    application/x-stata +4
    Updated Nov 18, 2020
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    DataverseNL (2020). Replication Data for: Elective Stock and Scrip Dividend [Dataset]. http://doi.org/10.34894/UOQR8C
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    application/x-stata(180833), application/x-stata-syntax(6363), pdf(25961), application/x-stata-13(1112), xlsx(430332), pdf(220326)Available download formats
    Dataset updated
    Nov 18, 2020
    Dataset provided by
    DataverseNL
    Description

    We investigate firms’ decisions to pay elective stock dividends, known in the UK as scrip dividends. Scrip dividends give investors the choice between receiving new shares or the equivalent value as a cash dividend. UK firms paying scrip dividends are more likely to be financially constrained, and scrip dividends are used more when access to external financing is costly. Our results are robust to using the 2008 financial crisis as an exogenous shock to credit supply. Cash preservation is the most important corporate incentive to use scrip dividends as they tend to be distributed in combination with dividend cuts and with major corporate investments such as debt-financed mergers and acquisitions. Analysis of US dividend reinvestment plans by which investors purchase new shares confirms firms’ cash-preservation motives

  17. Direct Real Estate Activities in Iceland - Market Research Report...

    • ibisworld.com
    Updated Jul 15, 2025
    + more versions
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    IBISWorld (2025). Direct Real Estate Activities in Iceland - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/iceland/industry/direct-real-estate-activities/200281/
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    Dataset updated
    Jul 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    Iceland
    Description

    The Direct Real Estate Activities industry have come up against numerous headwinds in recent years, ranging from the COVID-19 outbreak in 2020 to the high base rate environment in the years since, which has inflated borrowing costs for potential buyers. This is a sharp contrast to the ultra-low interest environment seen over the decade following the 2008 financial crisis. Still, revenue is forecast to edge upwards at a compound annual rate of 0.6% over the five years through 2025 to €622.9 billion, including an anticipated rise of 0.8% in 2025. Despite weak revenue growth, profitability remains strong, with the average industry profit margin standing at an estimated 18.9% in 2025. Central banks across Europe adopted aggressive monetary policy in the two years through 2023 in an effort to curb spiralling inflation. This ratcheted up borrowing costs and hit the real estate sector. In the residential property market, mortgage rates picked up and hit housing transaction levels. However, the level of mortgage rate hikes has varied across Europe, with the UK experiencing the largest rise, meaning the dent to UK real estate demand was more pronounced. Commercial real estate has also struggled due to inflationary pressures, supply chain disruptions and rising rates. Alongside this, the market’s stock of office space isn’t able to satisfy business demand, with companies placing a greater emphasis on high-quality space and environmental impact. Properties in many areas haven't been suitable due to their lack of green credentials. Nevertheless, things are looking up, as interest rates have been falling across Europe over the two years through 2025, reducing borrowing costs and boosting the number of property transactions, which is aiding revenue growth for estate agents. Revenue is slated to grow at a compound annual rate of 4.5% over the five years through 2030 to €777.6 billion. Economic conditions are set to improve in the short term, which will boost consumer and business confidence, ramping up the number of property transactions in both the residential and commercial real estate markets. However, estate agents may look to adjust their offerings to align with the data centre boom to soak up the demand from this market, while also adhering to sustainability commitments.

  18. u

    Collaborative governance in cities under austerity: Barcelona case study...

    • datacatalogue.ukdataservice.ac.uk
    • datacatalogue.cessda.eu
    Updated Jan 3, 2019
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    Salazar, Y, Universitat Autònoma de Barcelona; Blanco, I, Universitat Autònoma de Barcelona (2019). Collaborative governance in cities under austerity: Barcelona case study 2015-2018 [Dataset]. http://doi.org/10.5255/UKDA-SN-853464
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    Dataset updated
    Jan 3, 2019
    Authors
    Salazar, Y, Universitat Autònoma de Barcelona; Blanco, I, Universitat Autònoma de Barcelona
    Area covered
    Spain
    Description

    Data collection consists of 40 semi-structured in-depth interviews (10 in the first stage and 30 in the second) and 2 focus groups. The research presented here is a case study of the sociopolitical transformations of Barcelona in the years of the economic crisis that began in 2008, with a special emphasis on the period 2011-2017. The study was developed in two stages in order to grasp the evolution of an object of study that is very recent and that has gone through importance breaking points over the last years: a first exploratory stage between October and November 2015 and a second stage between July and December 2016. Austerity governance, defined as a sustained agenda for reducing public spending, poses new challenges for the organisation of relationships between government, business and citizens in many parts of the world. This project compares how these challenges are addressed in eight countries: Australia, Canada, France, Greece, Ireland, Spain, the UK and the USA. Governments have long sought effective ways of engaging citizen activists and business leaders in decision making, through many formal and informal mechanisms - what we term collaborative governance. The focus of our research is how collaboration contributes to the governance of austerity. Governments and public service leaders argue that collaboration with businesses, voluntary organisations and active citizens is essential for addressing the many challenges posed by austerity. The challenges include transforming public services to cope with cuts, changing citizen expectations and managing demand for services and enhancing the legitimacy of difficult policy decisions by involving people outside government in making them. But at the same time, collaboration can be exclusionary. For example, if there are high levels of protest, governmental and business elites may collaborate in ways that marginalise ordinary citizens to push through unpopular policies. Our challenge is to explore different ways in which collaboration works or fails in governing austerity and whether it is becoming more or less important in doing so.

    Austerity governance, defined as a sustained agenda for reducing public spending, poses new challenges for the organisation of relationships between government, business and citizens in many parts of the world. This project compares how these challenges are addressed in eight countries: Australia, Canada, France, Greece, Ireland, Spain, the UK and the USA. Governments have long sought effective ways of engaging citizen activists and business leaders in decision making, through many formal and informal mechanisms - what we term collaborative governance. The focus of our research is how collaboration contributes to the governance of austerity. Governments and public service leaders argue that collaboration with businesses, voluntary organisations and active citizens is essential for addressing the many challenges posed by austerity. The challenges include transforming public services to cope with cuts, changing citizen expectations and managing demand for services and enhancing the legitimacy of difficult policy decisions by involving people outside government in making them. But at the same time, collaboration can be exclusionary. For example, if there are high levels of protest, governmental and business elites may collaborate in ways that marginalise ordinary citizens to push through unpopular policies. Our challenge is to explore different ways in which collaboration works or fails in governing austerity and whether it is becoming more or less important in doing so. We propose to compare the role of collaboration in governing austerity in eight cities of the aforementioned countries: Athens, Baltimore, Barcelona, Dublin, Leicester, Melbourne, Montreal and Nantes. It is in towns and cities that government has the most immediate and closest day-to-day engagement with citizens and it is for this reason that we chose to locate our research at the urban scale. Our primary objective is to understand whether, and if so how, collaboration among public officials, citizens, business leaders and other actors contributes to austerity governance. For example is there more collaboration, less or are we seeing different kinds of collaboration emerging? Who, if anyone, refuses to collaborate and with what implications for governing austerity? Might collaboration be a way to subvert or resist aspects of austerity? The research is comparative, meaning that it is looking for patterns and to see what lessons and insights countries in different parts of the world might draw from one another. Finding ways to collaborate with citizens has always been important for central and local governments, although collaboration has been a higher political priority in the past 20 years than before. Our study will tell politicians and public officials much about how collaboration works as a way of governing austerity. However we are not trying to 'sell' collaboration, or suggest that those suffering from cuts and wanting to resist them should collaborate if they do not wish to. For citizen activists our research will highlight different strategies and options for speaking truth to power - by engaging with city government and local business elites, or refusing to do so and perhaps focusing on protest instead. We will discover when collaboration serves the ends of community groups and when it does not. Participants in our study, and others, will have the opportunity to discuss these issues at a series of local events, at which we will discuss our findings. The research will also engage with important academic debates about the changing nature of governance. In gathering and comparing a large body of data we will learn about the changing role of government under austerity and whether governing is becoming more elite-focused, remote and hierarchical, or perhaps even more inclusive despite the challenging times in which we live.

  19. Wealth in Hong Kong: Sizing the Market Opportunity

    • store.globaldata.com
    Updated Apr 1, 2016
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    GlobalData UK Ltd. (2016). Wealth in Hong Kong: Sizing the Market Opportunity [Dataset]. https://store.globaldata.com/report/wealth-in-hong-kong-sizing-the-market-opportunity/
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    Dataset updated
    Apr 1, 2016
    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
    2016 - 2020
    Area covered
    Hong Kong, Asia
    Description

    The number of affluent investors in Hong Kong grew to 2.4 million in 2015, achieving a lower rate of growth than its long-term average since the financial crisis rocked the market in 2008. Yet Hong Kong remains an attractive market. 40% of the adult population is considered affluent, comparable to markets in the developed West, while growth rates still resemble those found in the East. Growth going forward will be more modest for both affluent investor numbers and assets. But with affluent assets still forecast to achieve 7.2% annual growth over the years to 2019 – due to more residents moving into this class and a general appreciation of capital – Hong Kong retains much of its allure as a source of new clients for wealth managers. Read More

  20. Total value of household debt in the UK 2000-2024

    • statista.com
    Updated Jul 18, 2025
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    Statista (2025). Total value of household debt in the UK 2000-2024 [Dataset]. https://www.statista.com/statistics/1073541/total-value-of-household-debt-in-the-united-kingdom/
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    Dataset updated
    Jul 18, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    In the first half of 2024, the total value of debt from loans to households in the United Kingdom amounted to approximately ************ British pounds. It was in 2004, when household debt surpassed the ************ British pounds mark. Debts can be formed in a number of ways. The most common forms of debt for households include credit cards, medical debt, student loans, overdrafts, mortgages, automobile financing and personal loans.

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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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