100+ datasets found
  1. Entertainment events in Italy 2019-2020, by macro-region

    • statista.com
    Updated May 16, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2022). Entertainment events in Italy 2019-2020, by macro-region [Dataset]. https://www.statista.com/statistics/547874/number-of-cultural-activities-in-italy-by-macro-region/
    Explore at:
    Dataset updated
    May 16, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Italy
    Description

    The number of entertainment events in Italy fell dramatically in 2020 over the previous year due to the impact of the coronavirus (COVID-19) pandemic. Overall, the North West was the Italian macro-region hosting the highest number of events. However, entertainment events in this area dropped from over 1.2 million in 2019 to around 367 thousand in 2020.

  2. Individual sports events in Italy 2019, by macro-region

    • statista.com
    Updated Dec 8, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2022). Individual sports events in Italy 2019, by macro-region [Dataset]. https://www.statista.com/statistics/550653/number-of-individual-sport-events-in-italy-by-macro-region/
    Explore at:
    Dataset updated
    Dec 8, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Italy
    Description

    In 2019, the North-West was the Italian macro-region recording the highest number of individual sports events. Overall, this area hosted 2,302 sporting events of this type. The North-East followed on the list with 2,055 events.

  3. f

    S1 Data -

    • figshare.com
    txt
    Updated Jun 6, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Manqing Liu; Shiting Ding; Qintian Pan; Yanming Zhang; Jingru Zhang; Qiong Yang; Tongtong Fang (2023). S1 Data - [Dataset]. http://doi.org/10.1371/journal.pone.0281670.s001
    Explore at:
    txtAvailable download formats
    Dataset updated
    Jun 6, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Manqing Liu; Shiting Ding; Qintian Pan; Yanming Zhang; Jingru Zhang; Qiong Yang; Tongtong Fang
    License

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

    Description

    The macro policy of the stock market is an important market information. The implementation goal of the macro policy of the stock market is mainly to improve the effectiveness of the stock market. However, whether this effectiveness has achieved the goal is worth verifying through empirical data. The exertion of this information utility is closely related to the effectiveness of the stock market. Use the run test method in statistics to collect and sort out the daily data of stock price index in recent 30 years, the linkage between 75 macro policy events and 35 trading days of market efficiencies before and after the macro event are tested since 1992 to 2022. The results show that 50.66% of the macro policies are positively linked to the effectiveness of the stock market, while 49.34% of the macro policies have reduced the effectiveness of the market operation. This shows that the effectiveness of China’s stock market is not high, and the nonlinear characteristics are obvious, so the policy formulation of the stock market needs further improvement.

  4. S

    Macroeconomic Policy-Incorporated Jump Dynamics in High-Frequency Stock...

    • scidb.cn
    Updated May 14, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Yuqi He; Wu Ben; Zhang Bo (2025). Macroeconomic Policy-Incorporated Jump Dynamics in High-Frequency Stock Index Markets [Dataset]. http://doi.org/10.57760/sciencedb.24918
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 14, 2025
    Dataset provided by
    Science Data Bank
    Authors
    Yuqi He; Wu Ben; Zhang Bo
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    The Shanghai Composite Index (SSE), as a representative composite index of listed companies on the Shanghai Stock Exchange, is a core observation indicator of the systematic risk and price discovery mechanism in China's capital market. It includes various industries such as finance, energy, and industry, and can effectively depict the overall dynamic changes of the market This study selected intraday high-frequency data from January 2, 2024 to December 31, 2024. In order to accurately capture tail extreme events (such as liquidity shocks or policy driven jump risks) and overcome the discontinuity problem caused by low-frequency sampling, a balanced data frequency with 5-minute intervals was adopted The final dataset covers 48 observation points for each trading day, obtaining a total of 11656 observations of index returns within effective days Meanwhile, Monetary policy and real estate policy are the core tools of macroeconomic regulation. The former directly affects market liquidity, interest rates, and financing costs, while the latter, as a pillar industry of China's economy, directly affects market stability. Therefore, this article takes the release of information on monetary policy and real estate policy as representative events of macroeconomic policy, and adopts the event study method (Sorescu et al. (2017)) to ultimately determine 25 positive policies and 16 negative policies The price data of the Shanghai Composite Index was purchased from the financial data service of Jinshu Source( http://www.jinshuyuan.net/pdt/196 ), the monetary policy announcement was collected from the official website of the People's Bank of China( http://www.pbc.gov.cn/zhengcehuobisi )The real estate regulation policy documents are integrated from China Real Estate Network( http://m.fangchan.com/data ).

  5. l

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

    • repository.lboro.ac.uk
    pdf
    Updated May 30, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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
    Explore at:
    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

    Area covered
    United States
    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.

  6. U

    Inflation Data

    • dataverse.unc.edu
    • dataverse-staging.rdmc.unc.edu
    Updated Oct 9, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    UNC Dataverse (2022). Inflation Data [Dataset]. http://doi.org/10.15139/S3/QA4MPU
    Explore at:
    Dataset updated
    Oct 9, 2022
    Dataset provided by
    UNC Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    This is not going to be an article or Op-Ed about Michael Jordan. Since 2009 we've been in the longest bull-market in history, that's 11 years and counting. However a few metrics like the stock market P/E, the call to put ratio and of course the Shiller P/E suggest a great crash is coming in-between the levels of 1929 and the dot.com bubble. Mean reversion historically is inevitable and the Fed's printing money experiment could end in disaster for the stock market in late 2021 or 2022. You can read Jeremy Grantham's Last Dance article here. You are likely well aware of Michael Burry's predicament as well. It's easier for you just to skim through two related videos on this topic of a stock market crash. Michael Burry's Warning see this YouTube. Jeremy Grantham's Warning See this YouTube. Typically when there is a major event in the world, there is a crash and then a bear market and a recovery that takes many many months. In March, 2020 that's not what we saw since the Fed did some astonishing things that means a liquidity sloth and the risk of a major inflation event. The pandemic represented the quickest decline of at least 30% in the history of the benchmark S&P 500, but the recovery was not correlated to anything but Fed intervention. Since the pandemic clearly isn't disappearing and many sectors such as travel, business travel, tourism and supply chain disruptions appear significantly disrupted - the so-called economic recovery isn't so great. And there's this little problem at the heart of global capitalism today, the stock market just keeps going up. Crashes and corrections typically occur frequently in a normal market. But the Fed liquidity and irresponsible printing of money is creating a scenario where normal behavior isn't occurring on the markets. According to data provided by market analytics firm Yardeni Research, the benchmark index has undergone 38 declines of at least 10% since the beginning of 1950. Since March, 2020 we've barely seen a down month. September, 2020 was flat-ish. The S&P 500 has more than doubled since those lows. Look at the angle of the curve: The S&P 500 was 735 at the low in 2009, so in this bull market alone it has gone up 6x in valuation. That's not a normal cycle and it could mean we are due for an epic correction. I have to agree with the analysts who claim that the long, long bull market since 2009 has finally matured into a fully-fledged epic bubble. There is a complacency, buy-the dip frenzy and general meme environment to what BigTech can do in such an environment. The weight of Apple, Amazon, Alphabet, Microsoft, Facebook, Nvidia and Tesla together in the S&P and Nasdaq is approach a ridiculous weighting. When these stocks are seen both as growth, value and companies with unbeatable moats the entire dynamics of the stock market begin to break down. Check out FANG during the pandemic. BigTech is Seen as Bullet-Proof me valuations and a hysterical speculative behavior leads to even higher highs, even as 2020 offered many younger people an on-ramp into investing for the first time. Some analysts at JP Morgan are even saying that until retail investors stop charging into stocks, markets probably don’t have too much to worry about. Hedge funds with payment for order flows can predict exactly how these retail investors are behaving and monetize them. PFOF might even have to be banned by the SEC. The risk-on market theoretically just keeps going up until the Fed raises interest rates, which could be in 2023! For some context, we're more than 1.4 years removed from the bear-market bottom of the coronavirus crash and haven't had even a 5% correction in nine months. This is the most over-priced the market has likely ever been. At the night of the dot-com bubble the S&P 500 was only 1,400. Today it is 4,500, not so many years after. Clearly something is not quite right if you look at history and the P/E ratios. A market pumped with liquidity produces higher earnings with historically low interest rates, it's an environment where dangerous things can occur. In late 1997, as the S&P 500 passed its previous 1929 peak of 21x earnings, that seemed like a lot, but nothing compared to today. For some context, the S&P 500 Shiller P/E closed last week at 38.58, which is nearly a two-decade high. It's also well over double the average Shiller P/E of 16.84, dating back 151 years. So the stock market is likely around 2x over-valued. Try to think rationally about what this means for valuations today and your favorite stock prices, what should they be in historical terms? The S&P 500 is up 31% in the past year. It will likely hit 5,000 before a correction given the amount of added liquidity to the system and the QE the Fed is using that's like a huge abuse of MMT, or Modern Monetary Theory. This has also lent to bubbles in the housing market, crypto and even commodities like Gold with long-term global GDP meeting many headwinds in the years ahead due to a demographic shift of an ageing population and significant technological automation. So if you think that stocks or equities or ETFs are the best place to put your money in 2022, you might want to think again. The crash of the OTC and small-cap market since February 2021 has been quite an indication of what a correction looks like. According to the Motley Fool what happens after major downturns in the market historically speaking? In each of the previous four instances that the S&P 500's Shiller P/E shot above and sustained 30, the index lost anywhere from 20% to 89% of its value. So what's what we too are due for, reversion to the mean will be realistically brutal after the Fed's hyper-extreme intervention has run its course. Of course what the Fed stimulus has really done is simply allowed the 1% to get a whole lot richer to the point of wealth inequality spiraling out of control in the decades ahead leading us likely to a dystopia in an unfair and unequal version of BigTech capitalism. This has also led to a trend of short squeeze to these tech stocks, as shown in recent years' data. Of course the Fed has to say that's its done all of these things for the people, employment numbers and the labor market. Women in the workplace have been set behind likely 15 years in social progress due to the pandemic and the Fed's response. While the 89% lost during the Great Depression would be virtually impossible today thanks to ongoing intervention from the Federal Reserve and Capitol Hill, a correction of 20% to 50% would be pretty fair and simply return the curve back to a normal trajectory as interest rates going back up eventually in the 2023 to 2025 period. It's very unlikely the market has taken Fed tapering into account (priced-in), since the euphoria of a can't miss market just keeps pushing the markets higher. But all good things must come to an end. Earlier this month, the U.S. Bureau of Labor Statistics released inflation data from July. This report showed that the Consumer Price Index for All Urban Consumers rose 5.2% over the past 12 months. While the Fed and economists promise us this inflation is temporary, others are not so certain. As you print so much money, the money you have is worth less and certain goods cost more. Wage gains in some industries cannot be taken back, they are permanent - in the service sector like restaurants, hospitality and travel that have been among the hardest hit. The pandemic has led to a paradigm shift in the future of work, and that too is not temporary. The Great Resignation means white collar jobs with be more WFM than ever before, with a new software revolution, different transport and energy behaviors and so forth. Climate change alone could slow down global GDP in the 21st century. How can inflation be temporary when so many trends don't appear to be temporary? Sure the price of lumber or used-cars could be temporary, but a global chip shortage is exasperating the automobile sector. The stock market isn't even behaving like it cares about anything other than the Fed, and its $billions of dollars of buying bonds each month. Some central banks will start to taper about December, 2021 (like the European). However Delta could further mutate into a variant that makes the first generation of vaccines less effective. Such a macro event could be enough to trigger the correction we've been speaking about. So stay safe, and keep your money safe. The Last Dance of the 2009 bull market could feel especially more painful because we've been spoiled for so long in the markets. We can barely remember what March, 2020 felt like. Some people sold their life savings simply due to scare tactics by the likes of Bill Ackman. His scare tactics on CNBC won him likely hundreds of millions as the stock market tanked. Hedge funds further gamed the Reddit and Gamestop movement, orchestrating them and leading the new retail investors into meme speculation and a whole bunch of other unsavory things like options trading at such scale we've never seen before. It's not just inflation and higher interest rates, it's how absurdly high valuations have become. Still correlation does not imply causation. Just because inflation has picked up, it doesn't guarantee that stocks will head lower. Nevertheless, weaker buying power associated with higher inflation can't be overlooked as a potential negative for the U.S. economy and equities. The current S&P500 10-year P/E Ratio is 38.7. This is 97% above the modern-era market average of 19.6, putting the current P/E 2.5 standard deviations above the modern-era average. This is just math, folks. History is saying the stock market is 2x its true value. So why and who would be full on the market or an asset class like crypto that is mostly speculative in nature to begin with? Study the following on a historical basis, and due your own due diligence as to the health of the markets: Debt-to-GDP ratio Call to put ratio

  7. Amusement park events in Italy 2020, by macro-region

    • statista.com
    Updated Jun 27, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2025). Amusement park events in Italy 2020, by macro-region [Dataset]. https://www.statista.com/statistics/551370/number-of-amusement-park-events-in-italy-by-macro-region/
    Explore at:
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Italy
    Description

    In 2020, the North-East was the Italian macro-region recording the highest number of amusement park events. Overall, theme parks in this area hosted roughly 3.2 thousand shows. The North-West followed on the list with about 2.7 thousand events.

  8. h

    Macro-event recognition in healthy aging, Alzheimer's disease, and mild...

    • heidata.uni-heidelberg.de
    docx, html, tsv, txt +1
    Updated Feb 7, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Eesha Kokje; Johannes Gerwien; Christiane von Stutterheim; Eesha Kokje; Johannes Gerwien; Christiane von Stutterheim (2022). Macro-event recognition in healthy aging, Alzheimer's disease, and mild cognitive impairment [Data] [Dataset]. http://doi.org/10.11588/DATA/HBDRBY
    Explore at:
    docx(589932), txt(2076), tsv(1714), tsv(3611), zip(7789), html(4022), html(3696)Available download formats
    Dataset updated
    Feb 7, 2022
    Dataset provided by
    heiDATA
    Authors
    Eesha Kokje; Johannes Gerwien; Christiane von Stutterheim; Eesha Kokje; Johannes Gerwien; Christiane von Stutterheim
    License

    https://heidata.uni-heidelberg.de/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.11588/DATA/HBDRBYhttps://heidata.uni-heidelberg.de/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.11588/DATA/HBDRBY

    Description

    The data set contains the data associated with the study on "Macro-event recognition in healthy aging, Alzheimer's disease, and mild cognitive impairment". The files include the javascript codes for running the experiments, the data, and example stimuli.

  9. Southern Europe and Western Asia Marine Heat Waves (SEWA-MHWs): a dataset...

    • zenodo.org
    nc
    Updated Jan 18, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Giulia Bonino; Simona Masina; Giuliano Galimberti; Matteo Moretti; Giulia Bonino; Simona Masina; Giuliano Galimberti; Matteo Moretti (2023). Southern Europe and Western Asia Marine Heat Waves (SEWA-MHWs): a dataset based on macro events [Dataset]. http://doi.org/10.5281/zenodo.7153256
    Explore at:
    ncAvailable download formats
    Dataset updated
    Jan 18, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Giulia Bonino; Simona Masina; Giuliano Galimberti; Matteo Moretti; Giulia Bonino; Simona Masina; Giuliano Galimberti; Matteo Moretti
    License

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

    Area covered
    Europe, West Asia, Southern Europe
    Description

    This repository contains the SEWA-MHWs dataset, which consists in daily fields of marine heatwaves (MHWs) macro events and their characteristics over Southern Europe and Western Asia. The SEWA-MHWs dataset is derived from the European Space Agency (ESA) Climate Change Initiative (CCI) Sea Surface Temperature (SST) v2 dataset and it covers the 1981-2016 period. This dataset is presented and described in details in the "Southern Europe and Western Asia Marine Heat Waves (SEWA-MHWs): a dataset based on macro events" manuscript by Giulia Bonino, Simona Masina, Giuliano Galimberti and Matteo Moretti submitted to Earth System Science Data journal.

    This repository contains:

    A) SEWA_labels.nc: daily fields of labels. Each unique label represents a macro event.

    Moreover, we extracted for all the grid points belonging to a given macro event, the MHWs characteristics and we obtained daily fields of MHWs characteristics:

    B) SEWA_IndStart.nc: daily fields of MHWs index start.

    C) SEWA_IndPeak.nc: daily fields of MHWs index peak.

    D) SEWA_IndEND.nc: daily fields of MHWs index end.

    E) SEWA_Category.nc: daily fields of MHWs categories.

    F) SEWA_IntMAx.nc: daily fields of MHWs maximum intensity.

    G) SEWA_IntMean.nc: daily fields of MHWs mean intensity.

  10. D

    Hedge Funds Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 23, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dataintelo (2024). Hedge Funds Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-hedge-funds-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Sep 23, 2024
    Authors
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Hedge Funds Market Outlook



    The global hedge funds market size was valued at approximately $3.5 trillion in 2023 and is projected to reach around $5.7 trillion by 2032, growing at a compound annual growth rate (CAGR) of 5.5% during the forecast period. Driving this growth is a combination of market volatility, investor demand for diversified investment strategies, and the evolving landscape of financial regulations.



    One of the primary growth factors for the hedge funds market is the increased appetite for risk-adjusted returns. Investors, especially in the wake of economic uncertainties and market volatilities, are increasingly gravitating towards hedge funds that promise higher returns compared to traditional investment vehicles like mutual funds. This is particularly true for institutional investors, who seek diversified portfolios that can weather market downturns while capitalizing on growth opportunities.



    Moreover, advancements in financial technology are significantly contributing to the expansion of the hedge fund market. The application of artificial intelligence, machine learning, and big data analytics is enabling hedge fund managers to make more informed decisions, optimize trading strategies, and enhance portfolio management. These technological innovations are not only improving the efficiency of hedge funds but also attracting a new generation of tech-savvy investors.



    Additionally, the evolving regulatory landscape is shaping the growth trajectory of the hedge fund industry. While stringent regulations can pose challenges, they also bring a level of transparency and stability that can attract more conservative investors. For instance, regulations that mandate higher disclosure standards and investor protections can enhance the credibility of hedge funds, making them more appealing to a broader investor base.



    In terms of regional outlook, North America continues to dominate the hedge funds market, accounting for the largest market share. The presence of a robust financial infrastructure, a high concentration of institutional investors, and a favorable regulatory environment are some of the key factors driving the market in this region. However, the Asia Pacific region is expected to witness the fastest growth during the forecast period, driven by the rising number of high net worth individuals and the increasing adoption of alternative investment strategies.



    Strategy Type Analysis



    The hedge funds market is segmented by strategy type into Equity Hedge, Event-Driven, Macro, Relative Value, and Others. Each of these strategies offers unique approaches to generating returns, catering to different investor risk appetites and market conditions. Equity Hedge strategies, which focus on equity markets by taking both long and short positions, dominate the market due to their capacity to mitigate risk while capturing stock market gains.



    Event-Driven strategies, which capitalize on corporate events such as mergers, acquisitions, and restructurings, are increasingly gaining traction. These strategies are particularly appealing in volatile market conditions where corporate actions can lead to significant price movements. The ability to exploit inefficiencies around these events makes Event-Driven strategies a critical component of diversified hedge fund portfolios.



    Macro strategies, which take positions based on economic and political views of entire countries or regions, offer a broad level of diversification. These strategies leverage global macroeconomic trends and are particularly valuable in uncertain economic climates. The growing interconnectedness of global markets has made Macro strategies increasingly relevant, as they can capture opportunities across various asset classes and geographies.



    Relative Value strategies focus on identifying price discrepancies between related securities. This approach involves statistical arbitrage and market-neutral strategies that seek to profit from the relative price movements of securities rather than their absolute price movements. The rise of quantitative trading and algorithmic models has significantly bolstered the effectiveness and popularity of Relative Value strategies.



    Lastly, the 'Others' category includes niche strategies such as distressed securities, multi-strategy, and fund of funds. These strategies offer specialized approaches that cater to specific market conditions or investor preferences. Multi-strategy funds, for instance, combine various hedge fund strategies within a s

  11. Admissions at individual sports events in Italy 2019, by macro-region

    • statista.com
    Updated Dec 8, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2022). Admissions at individual sports events in Italy 2019, by macro-region [Dataset]. https://www.statista.com/statistics/550659/number-of-individual-sport-events-admissions-and-attendances-by-macro-region-in-italy/
    Explore at:
    Dataset updated
    Dec 8, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    Italy
    Description

    In 2019, the Center was the Italian macro-region recording the highest number of admissions at individual sports events. Overall, events hosted in this area registered roughly 708 thousand entries. The North-West followed on the list with about 385 thousand admissions.

  12. Sentifi Markets Intelligence Analytics for currencies, equities &...

    • datarade.ai
    Updated Nov 8, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Sentifi (2020). Sentifi Markets Intelligence Analytics for currencies, equities & commodtities through 15m+ influencers [Dataset]. https://datarade.ai/data-products/markets-intelligence-analytics-sentifi
    Explore at:
    .json, .csv, .xls, .txtAvailable download formats
    Dataset updated
    Nov 8, 2020
    Dataset provided by
    Sentifi AGhttp://www.moneycab.com/mcc/2014/04/10/anders-bally-ceo-sentifi-2/
    Authors
    Sentifi
    Area covered
    Syrian Arab Republic, Kuwait, Belgium, Saint Helena, Micronesia (Federated States of), Malaysia, Vanuatu, Faroe Islands, Sudan, South Africa
    Description

    Sentifi's Markets Intelligence Analytics surface macro events being discussed in social media, news and blogs from the 15m+ influencers Sentifi is tracking and the sectors, industries, regions, assets that are impacted by those events. Markets intelligence analytics surfaces sentiment shifts on currencies (including cryptocurrencies), commodities and indices.

    Sentifi's Markets Intelligence analytics can support the investor/ analyst/ risk manager can:

    • surface macro-level market-moving events and the sectors, industries, regions, and assets impacted by those events.
    • validate investment strategies by evaluating the sentiment curve for a custom benchmark vs an established benchmark.
    • assess how professional investors are shifting their allocation to regions, countries, sectors, industries and stocks and compare professional investor sentiment to sentiment from the broader market.
    • setup custom sentiment benchmarks to test/ validate an investment strategy and compare this to standard benchmarks.
  13. h

    Forex_Factory_Calendar

    • huggingface.co
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Ehsan Rajabi safari, Forex_Factory_Calendar [Dataset]. https://huggingface.co/datasets/Ehsanrs2/Forex_Factory_Calendar
    Explore at:
    Authors
    Ehsan Rajabi safari
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    📅 Forex Factory Economic Calendar Dataset (2007-01-01 to 2025-04-07)

    This dataset contains a comprehensive archive of macroeconomic calendar events sourced from Forex Factory, spanning from January 1, 2007 to April 7, 2025.Each row captures a specific event with detailed metadata including currency, event type, market impact level, reported values, and descriptive context.

      📦 Dataset Summary
    

    Total timespan: 2007-01-01 → 2025-04-07
    Format: CSV (UTF-8)
    Timezone:… See the full description on the dataset page: https://huggingface.co/datasets/Ehsanrs2/Forex_Factory_Calendar.

  14. f

    Statistics of macro-policy information and weak market efficiency changes.

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Manqing Liu; Shiting Ding; Qintian Pan; Yanming Zhang; Jingru Zhang; Qiong Yang; Tongtong Fang (2023). Statistics of macro-policy information and weak market efficiency changes. [Dataset]. http://doi.org/10.1371/journal.pone.0281670.t003
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Manqing Liu; Shiting Ding; Qintian Pan; Yanming Zhang; Jingru Zhang; Qiong Yang; Tongtong Fang
    License

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

    Description

    Statistics of macro-policy information and weak market efficiency changes.

  15. F

    Equity Market Volatility Tracker: Macroeconomic News and Outlook: Inflation

    • fred.stlouisfed.org
    json
    Updated Jul 4, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Equity Market Volatility Tracker: Macroeconomic News and Outlook: Inflation [Dataset]. https://fred.stlouisfed.org/series/EMVMACROINFLATION
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 4, 2025
    License

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

    Description

    Graph and download economic data for Equity Market Volatility Tracker: Macroeconomic News and Outlook: Inflation (EMVMACROINFLATION) from Jan 1985 to Jun 2025 about volatility, uncertainty, equity, inflation, and USA.

  16. o

    "Data and Code for: The Macroeconomic Effects of Fiscal Policy Uncertainty...

    • openicpsr.org
    Updated May 8, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Gee Hee Hong; Shikun (Barry) Ke; Anh Dinh Minh Nguyen (2025). "Data and Code for: The Macroeconomic Effects of Fiscal Policy Uncertainty around the World" [Dataset]. http://doi.org/10.3886/E228943V1
    Explore at:
    Dataset updated
    May 8, 2025
    Dataset provided by
    American Economic Association
    Authors
    Gee Hee Hong; Shikun (Barry) Ke; Anh Dinh Minh Nguyen
    License

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

    Area covered
    World
    Description

    How adverse is the impact of fiscal policy uncertainty on economic and financial variables? To answer this question, we construct a novel cross-country database of news-based fiscal policy uncertainty indicators. Importantly, we track fiscal events that attract global attention, which we refer to as “global” fiscal policy uncertainty. We find that heightened fiscal policy uncertainty triggers contractionary effects, lowering industrial production in both advanced and emerging market economies. It also raises sovereign borrowing costs, generates synchronous movements in global financial variables including risk aversion, and strengthens the US dollar, even after accounting for US monetary policy shocks.

  17. U

    US Hedge Fund Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Jun 15, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Market Report Analytics (2025). US Hedge Fund Market Report [Dataset]. https://www.marketreportanalytics.com/reports/us-hedge-fund-market-99380
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Jun 15, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The US hedge fund market, a cornerstone of alternative investments, is projected to reach a substantial size, exhibiting robust growth over the forecast period (2025-2033). The market's 2025 value of $2.77 billion reflects a significant accumulation of assets under management by prominent firms such as Bridgewater Associates, Renaissance Technologies, and BlackRock. A compound annual growth rate (CAGR) of 6.52% indicates consistent expansion, driven by several key factors. Increased investor interest in alternative investment strategies seeking higher returns than traditional markets, coupled with the sophisticated risk management techniques employed by hedge funds, fuels this growth. Technological advancements, particularly in areas like artificial intelligence and big data analytics, are enhancing investment strategies, contributing to improved performance and attracting further investment. However, regulatory scrutiny and evolving investor preferences pose potential constraints. The industry’s evolution is characterized by a shift towards more specialized strategies and the increasing adoption of sustainable and ESG (Environmental, Social, and Governance) investing principles. This suggests a move beyond traditional long/short equity strategies into niche areas like quantitative trading, private equity, and global macro strategies. The competitive landscape remains intensely competitive, with established giants vying for market share against nimble, emerging players employing innovative techniques. The segmentation of the US hedge fund market likely encompasses various investment strategies (e.g., long/short equity, global macro, distressed debt, event-driven), fund sizes (e.g., mega-funds, mid-sized funds, smaller funds), and investor types (e.g., institutional investors, high-net-worth individuals). Regional variations within the US market might also exist, reflecting economic activity and investor concentration in certain areas. The forecast anticipates continued growth, although the rate may fluctuate based on macroeconomic conditions, geopolitical events, and evolving regulatory frameworks. The dominance of established players is likely to persist, though disruptive innovations and the emergence of new, successful firms could reshape the competitive landscape in the coming years. Recent developments include: January 2024: The Palm Beach Hedge Fund Association (PBHFA), the premier trade association for investors and financial professionals in South Florida, and Entoro, a leading boutique finance and investment banking group, announced a strategic partnership to improve deal distribution for hedge funds., October 2022: Divya Nettimi, a former Viking Global Investors portfolio manager who oversaw over USD 4 billion at the Greenwich, Connecticut-based hedge fund firm, became the first woman to launch a hedge fund that has committed more than USD 1 billion.. Key drivers for this market are: Positive Trends in Equity Market is Driving the Market. Potential restraints include: Positive Trends in Equity Market is Driving the Market. Notable trends are: Rise of the Crypto Hedge Funds in United States.

  18. f

    Macro-policy information and weak efficiency changes.

    • plos.figshare.com
    xls
    Updated Jun 21, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Manqing Liu; Shiting Ding; Qintian Pan; Yanming Zhang; Jingru Zhang; Qiong Yang; Tongtong Fang (2023). Macro-policy information and weak efficiency changes. [Dataset]. http://doi.org/10.1371/journal.pone.0281670.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Manqing Liu; Shiting Ding; Qintian Pan; Yanming Zhang; Jingru Zhang; Qiong Yang; Tongtong Fang
    License

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

    Description

    Macro-policy information and weak efficiency changes.

  19. Revenue of sports events in Italy 2019, by macro-region

    • statista.com
    Updated Dec 8, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Statista (2022). Revenue of sports events in Italy 2019, by macro-region [Dataset]. https://www.statista.com/statistics/550074/sport-events-turnover-by-macro-region-in-italy/
    Explore at:
    Dataset updated
    Dec 8, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2019
    Area covered
    Italy
    Description

    In 2019, the North-West was the Italian macro-region recording the highest revenue of sports events. Overall, the income of sporting events hosted in this region amounted to 1.48 billion euros. The North-East followed on the list with a revenue of 707 million euros.

  20. US Stocks Dataset

    • kaggle.com
    Updated Oct 5, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    M Atif Latif (2024). US Stocks Dataset [Dataset]. https://www.kaggle.com/datasets/matiflatif/us-stocks-datasetby-atif/discussion
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 5, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    M Atif Latif
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    US Stock Market Data (21st November 2023 – 2nd February 2024)

    Overview

    This dataset provides detailed historical data on the US stock market, covering the period from 21st November 2023 to 2nd February 2024. It includes daily performance metrics for major stocks and indices, enabling investors, analysts, and researchers to study short-term market trends, fluctuations, and patterns.

    Dataset Contents

    The dataset contains the following key attributes for each trading day:

    Date: The trading date.

    Ticker: Stock ticker symbol (e.g., AAPL for Apple, MSFT for Microsoft).

    Open Price: The price at which the stock opened for trading.

    Close Price: The price at which the stock closed for trading . High Price: The highest price reached during the trading session.

    Low Price: The lowest price reached during the trading session.

    Adjusted Close Price: The closing price adjusted for splits and dividend payouts.

    Trading Volume: The total number of shares traded on that day.

    Highlights

    Time Period: Covers daily data for over two months of trading activity.

    Market Scope: Includes data from a diverse set of stocks, industries, and sectors, reflecting the broader US market trends.

    Indices and Major Stocks: Tracks key indices (e.g., S&P 500, NASDAQ) and major stocks across various sectors .

    Potential Applications

    Analyzing short-term market performance trends. Developing trading strategies or backtesting investment models. Exploring the impact of macroeconomic events on stock performance. Studying sector-wise performance in the US stock market.

    Data Source

    The data has been sourced from publicly available market records, ensuring reliability and accuracy. Each data point represents an official trading record from the respective exchange.

    Usage Notes

    The dataset is intended for educational, analytical, and research purposes only. Users should be mindful of potential market anomalies or external factors influencing data during this time frame.

    Acknowledgments

    Special thanks to the organizations and platforms that make financial market data accessible for analysis and research.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Statista (2022). Entertainment events in Italy 2019-2020, by macro-region [Dataset]. https://www.statista.com/statistics/547874/number-of-cultural-activities-in-italy-by-macro-region/
Organization logo

Entertainment events in Italy 2019-2020, by macro-region

Explore at:
Dataset updated
May 16, 2022
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
Italy
Description

The number of entertainment events in Italy fell dramatically in 2020 over the previous year due to the impact of the coronavirus (COVID-19) pandemic. Overall, the North West was the Italian macro-region hosting the highest number of events. However, entertainment events in this area dropped from over 1.2 million in 2019 to around 367 thousand in 2020.

Search
Clear search
Close search
Google apps
Main menu