12 datasets found
  1. J

    Stock Market Crash and Expectations of American Households (replication...

    • jda-test.zbw.eu
    • journaldata.zbw.eu
    txt
    Updated Nov 4, 2022
    + more versions
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    Michael D. Hurd; Maarten van Rooij; Joachim Winter; Michael D. Hurd; Maarten van Rooij; Joachim Winter (2022). Stock Market Crash and Expectations of American Households (replication data) [Dataset]. https://jda-test.zbw.eu/dataset/stock-market-crash-and-expectations-of-american-households
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    txt(19702), txt(8370), txt(2861253)Available download formats
    Dataset updated
    Nov 4, 2022
    Dataset provided by
    ZBW - Leibniz Informationszentrum Wirtschaft
    Authors
    Michael D. Hurd; Maarten van Rooij; Joachim Winter; Michael D. Hurd; Maarten van Rooij; Joachim Winter
    License

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

    Description

    This paper utilizes data on subjective probabilities to study the impact of the stock market crash of 2008 on households' expectations about the returns on the stock market index. We use data from the Health and Retirement Study that was fielded in February 2008 through February 2009. The effect of the crash is identified from the date of the interview, which is shown to be exogenous to previous stock market expectations. We estimate the effect of the crash on the population average of expected returns, the population average of the uncertainty about returns (subjective standard deviation), and the cross-sectional heterogeneity in expected returns (disagreement). We show estimates from simple reduced-form regressions on probability answers as well as from a more structural model that focuses on the parameters of interest and separates survey noise from relevant heterogeneity. We find a temporary increase in the population average of expectations and uncertainty right after the crash. The effect on cross-sectional heterogeneity is more significant and longer lasting, which implies substantial long-term increase in disagreement. The increase in disagreement is larger among the stockholders, the more informed, and those with higher cognitive capacity, and disagreement co-moves with trading volume and volatility in the market.

  2. U

    Inflation Data

    • dataverse-staging.rdmc.unc.edu
    • dataverse.unc.edu
    Updated Oct 9, 2022
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    Linda Wang; Linda Wang (2022). Inflation Data [Dataset]. http://doi.org/10.15139/S3/QA4MPU
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    Dataset updated
    Oct 9, 2022
    Dataset provided by
    UNC Dataverse
    Authors
    Linda Wang; Linda Wang
    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...

  3. Global Financial Crisis: Lehman Brothers stock price and percentage gain...

    • statista.com
    • flwrdeptvarieties.store
    Updated Sep 2, 2024
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    Statista (2024). Global Financial Crisis: Lehman Brothers stock price and percentage gain 1995-2008 [Dataset]. https://www.statista.com/statistics/1349730/global-financial-crisis-lehman-brothers-stock-price/
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    Dataset updated
    Sep 2, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1995 - 2008
    Area covered
    United States
    Description

    Lehman Brothers, the fourth largest investment bank on Wall Street, declared bankruptcy on the 15th of September 2008, becoming the largest bankruptcy in U.S. history. The investment house, which was founded in the mid-19th century, had become heavily involved in the U.S. housing bubble in the early 2000s, with its large holdings of toxic mortgage-backed securities (MBS) ultimately causing the bank's downfall. The bank had expanded rapidly following the repeal of the Glass-Steagall Act in 1999, which meant that investment banks could also engage in commercial banking activities. Lehman vertically integrated their mortgage business, buying smaller commercial enterprises that originated housing loans, which allowed the bank to expand its MBS holdings. The downfall of Lehman and the crash of '08 As the U.S. housing market began to slow down in 2006, the default rate on housing loans began to spike, triggering losses for Lehman from their MBS portfolio. Lehman's main competitor in mortgage financing, Bear Stearns, was bought by J.P. Morgan Chase in order to prevent bankruptcy in March 2008, leading investors and lenders to become increasingly concerned about the bank's financial health. As the bank relied on short-term funding on money markets in order to meet its obligations, the news of its huge losses in the third-quarter of 2008 further prevented it from funding itself on financial markets. By September, it was clear that without external assistance, the bank would fail. As its losses from credit default swaps mounted due to the deepening crash in the housing market, Lehman was forced to declare bankruptcy on September 15, as no buyer could be found to save the bank. The collapse of Lehman triggered panic in global financial markets, forcing the U.S. government to step in and bail-out the insurance giant AIG the next day on September 16. The effects of this financial crisis hit the non-financial economy hard, causing a global recession in 2009.

  4. M

    NASDAQ Composite - 54 Years of Historical Data

    • macrotrends.net
    • new.macrotrends.net
    csv
    Updated Mar 26, 2025
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    NASDAQ Composite - 54 Years of Historical Data [Dataset]. https://www.macrotrends.net/1320/nasdaq-historical-chart
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    csvAvailable download formats
    Dataset updated
    Mar 26, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

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

    Area covered
    World
    Description

    Long term historical dataset of the NASDAQ Composite stock market index since 1971. Historical data is inflation-adjusted using the headline CPI and each data point represents the month-end closing value. The current month is updated on an hourly basis with today's latest value.

  5. f

    Variables and their stationarity test results.

    • plos.figshare.com
    xls
    Updated Nov 3, 2023
    + more versions
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    Jiamu Hu (2023). Variables and their stationarity test results. [Dataset]. http://doi.org/10.1371/journal.pone.0293909.t002
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    xlsAvailable download formats
    Dataset updated
    Nov 3, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Jiamu Hu
    License

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

    Description

    China’s export benefits from the significant fiscal stimulus in the United States. This paper analyzes the global spillover effect of the American economy on China’s macro-economy using the Markov Chain Monte Carlo (MCMC)-Gibbs sampling approach, with the goal of improving the ability of China’s financial system to protect against foreign threats. This paper examines the theories of the consequences of uncertainty on macroeconomics first. Then, using medium-sized economic and financial data, the uncertainty index of the American and Chinese economies is built. In order to complete the test and analysis of the dynamic relationship between American economic uncertainty and China’s macro-economy, a Time Varying Parameter-Stochastic Volatility-Vector Autoregression (TVP- VAR) model with random volatility is constructed. The model is estimated using the Gibbs sampling method based on MCMC. For the empirical analysis, samples of China’s and the United States’ economic data from January 2001 to January 2022 were taken from the WIND database and the FRED database, respectively. The data reveal that there are typically fewer than 5 erroneous components in the most estimated parameters of the MCMC model, which suggests that the model’s sampling results are good. China’s pricing level reacted to the consequences of the unpredictability of the American economy by steadily declining, reaching its lowest point during the financial crisis in 2009, and then gradually diminishing. After 2012, the greatest probability density range of 68% is extremely wide and contains 0, indicating that the impact of economic uncertainty in the United States on China’s pricing level is no longer significant. China should therefore focus on creating a community of destiny by working with nations that have economic cooperation to lower systemic financial risks and guarantee the stability of the capital market.

  6. a

    Coursera - Economics of Money and Banking Part One

    • academictorrents.com
    bittorrent
    Updated Jul 25, 2013
    + more versions
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    Perry G Mehrling (Columbia University) (2013). Coursera - Economics of Money and Banking Part One [Dataset]. https://academictorrents.com/details/970f4ee32d1a49168466a517b3dcd0442b043abc
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    bittorrentAvailable download formats
    Dataset updated
    Jul 25, 2013
    Dataset authored and provided by
    Perry G Mehrling (Columbia University)
    License

    https://academictorrents.com/nolicensespecifiedhttps://academictorrents.com/nolicensespecified

    Description

    The last three or four decades have seen a remarkable evolution in the institutions that comprise the modern monetary system. The financial crisis of 2007-2009 is a wakeup call that we need a similar evolution in the analytical apparatus and theories that we use to understand that system. Produced and sponsored by the Institute for New Economic Thinking, this course is an attempt to begin the process of new economic thinking by reviving and updating some forgotten traditions in monetary thought that have become newly relevant. Three features of the new system are central. Most important, the intertwining of previously separate capital markets and money markets has produced a system with new dynamics as well as new vulnerabilities. The financial crisis revealed those vulnerabilities for all to see. The result was two years of desperate innovation by central banking authorities as they tried first this, and then that, in an effort to stem the collapse. Second, the global character of the

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

    • statista.com
    Updated Jul 4, 2024
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    Statista (2024). Annual GDP and real GDP for the United States 1929-2022 [Dataset]. https://www.statista.com/statistics/1031678/gdp-and-real-gdp-united-states-1930-2019/
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    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

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

  8. Largest bankruptcies in the U.S. as of January 2025, by assets

    • statista.com
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    Statista, Largest bankruptcies in the U.S. as of January 2025, by assets [Dataset]. https://www.statista.com/statistics/1096794/largest-bankruptcies-usa-by-assets/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of January 2025, the largest all-time bankruptcy in the United States remained Lehman Brothers. The New York-based investment bank had assets worth 691 billion U.S. dollars when it filed for bankruptcy on September 15, 2008. This event was one of the major points in the timeline of the Great Recession, as it was the first time a bank of its size had failed and had a domino effect on the global banking sector, as well as wiping almost five percent of the S&P 500 in one day. Bank failures in the U.S. In March 2023, for the first time since 2021, two banks collapsed in the United States. Both bank failures made the list of largest bankruptcies in terms of total assets lost: The failure of Silicon Valley Bank amounted to roughly 209 billion U.S. dollars worth of assets lost, while Signature Bank had approximately 110.4 billion U.S. dollars when it collapsed. These failures mark the second- and the third-largest bank failures in the U.S. since 2001. Unprofitable banks in the U.S. The collapse of Silicon Valley Bank and Signature Bank painted an alarming picture of the U.S. banking industry. In reality, however, the state of the industry was much better in 2022 than in earlier periods of economic downturns. The share of unprofitable banks, for instance, was 3.4 percent in 2022, which was an increase compared to 2021, but remained well below the share of unprofitable banks in 2020, let alone during the global financial crisis in 2008. The share of unprofitable banks in the U.S. peaked in 2009, when almost 30 percent of all FDIC-insured commercial banks and savings institutions were unprofitable.

  9. Weekly market cap of all cryptocurrencies combined up to March 2025

    • statista.com
    Updated Mar 21, 2025
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    Statista (2025). Weekly market cap of all cryptocurrencies combined up to March 2025 [Dataset]. https://www.statista.com/statistics/730876/cryptocurrency-maket-value/
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    Dataset updated
    Mar 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2010 - Mar 2025
    Area covered
    Worldwide
    Description

    It is estimated that the cumulative market cap of cryptocurrencies increased in early 2023 after the downfall in November 2022 due to FTX. That value declined in the summer of 2023, however, as international uncertainty grew over a potential recession. Bitcoin's market cap made up the majority of the overall market capitalization.

    What is market cap?

    Market capitalization is a financial measure typically used for publicly traded firms, computed by multiplying the share price by the number of outstanding shares. However, cryptocurrency analysts calculate it as the price of the virtual currencies times the number of coins in the market. This gives cryptocurrency investors an idea of the overall market size, and watching the evolution of the measure tells how much money is flowing in or out of each cryptocurrency.

    Cryptocurrency as an investment

    The price of Bitcoin has been erratic, and most other cryptocurrencies follow its larger price swings. This volatility attracts investors who hope to buy when the price is low and sell at its peak, turning a profit. However, this does little for price stability. As such, few firms accept payment in cryptocurrencies.

  10. Profit of airlines worldwide 2004-2022

    • statista.com
    Updated Apr 16, 2024
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    Statista (2024). Profit of airlines worldwide 2004-2022 [Dataset]. https://www.statista.com/statistics/268330/profit-of-airlines-worldwide/
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    Dataset updated
    Apr 16, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    In 2021, due to the coronavirus pandemic, the global airline industry is estimated to suffer another 42.1 billion U.S. dollars in net losses, after reporting 137.7 billion U.S. dollars in net losses in 2020.

    Recent changes in worldwide aviation since 2000s

    Growth of middle-class and global interconnectedness facilitated the expansion of aviation market throughout recent decades. From 2006 to 2019, global air traffic passenger demand increased continuously, except for 2009 because of the global financial crisis in 2008. Expansion of the aviation market transformed the aviation economy gradually. For instance, there is a market power shift between full service and other carriers (FSOCs) and low-cost carriers (LCCs) globally. Since LCCs offer almost the same main service for a comparatively cheaper price, LCCs operated flights are on high demand by customers. LCCs’ market share in Europe was roughly 45 percent of the total aviation market in 2020. The net profit of commercial airlines worldwide from 2006 to 2019 increased somewhat continuously, reaching 26.4 billion U.S. dollars in 2019. The continuity of growth was disturbed during and after the 2008 global financial crisis. From 2008 to 2009, commercial airlines incurred a net loss because of the economic shock.

    COVID-19 and the aviation industry

    While contemplating the potential occurrence of next economic shocks, the global economy and society got hit by an immensely strong health shock, the coronavirus (COVID-19) outbreak. Since the possibility of a global health shock was neglected by the political authorities, most countries were not ready to absorb health and economic shocks simultaneously. Therefore, COVID-19 hit the global economy and society profoundly. The loss for the North American aviation reached roughly 35.1 billion U.S. dollars in 2020. Nonetheless, before the COVID-19 outbreak over 16 billion U.S. dollars of market profit was forecasted for the North American commercial aviation for 2020. As a result of COVID-19 lockdowns, passenger load factor (PLF) declined between January 2020 to April 2020 remarkably, down to 27.5 percent from 81.1 percent on international routes. Although the COVID-19 pandemic is not over yet, many countries started to take it under control through sufficiently strong efforts and policies. Therefore, the weekly flight frequency continues to improve slightly globally since the end of April 2020.

  11. Annual GDP growth in the UK 1949-2024

    • statista.com
    • flwrdeptvarieties.store
    Updated Feb 19, 2025
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    Statista (2025). Annual GDP growth in the UK 1949-2024 [Dataset]. https://www.statista.com/statistics/281734/gdp-growth-in-the-united-kingdom-uk/
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    Dataset updated
    Feb 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    The United Kingdom's economy grew by 0.9 percent in 2024, after a growth rate of 0.4 percent in 2023, 4.8 percent in 2022, 8.6 percent in 2021, and a record 10.3 percent fall in 2020. During the provided time period, the biggest annual fall in gross domestic product before 2020 occurred in 2009, when the UK economy contracted by 4.6 percent at the height of the global financial crisis of the late 2000s. Before 2021, the year with the highest annual GDP growth rate was 1973, when the UK economy grew by 6.5 percent. UK economy growing but GDP per capita falling In 2022, the UK's GDP per capita amounted to approximately 37,371 pounds, with this falling to 37,028 pounds in 2023, and 36,977 pounds in 2024. While the UK economy as a whole grew during this time, the UK's population grew at a faster rate, resulting in the negative growth in GDP per capita. This suggests the UK economy's struggles with productivity are not only stagnating, but getting worse. The relatively poor economic performance of the UK in recent years has not gone unnoticed by the electorate, with the economy consistently seen as the most important issue for voters since 2022. Recent shocks to UK economy In the second quarter of 2020, the UK economy shrank by a record 20.3 percent at the height of the COVID-19 pandemic. Although there was a relatively swift economic recovery initially, the economy has struggled to grow much beyond its pre-pandemic size, and was only around 3.1 percent larger in December 2024, when compared with December 2019. Although the labor market has generally been quite resilient during this time, a long twenty-month period between 2021 and 2023 saw prices rise faster than wages, and inflation surge to a high of 11.1 percent in October 2022.

  12. Global inflation rate from 2000 to 2029

    • statista.com
    Updated Jan 10, 2025
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    Statista (2025). Global inflation rate from 2000 to 2029 [Dataset]. https://www.statista.com/statistics/256598/global-inflation-rate-compared-to-previous-year/
    Explore at:
    Dataset updated
    Jan 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2024
    Area covered
    Worldwide
    Description

    Inflation is generally defined as the continued increase in the average prices of goods and services in a given region. Following the extremely high global inflation experienced in the 1980s and 1990s, global inflation has been relatively stable since the turn of the millennium, usually hovering between three and five percent per year. There was a sharp increase in 2008 due to the global financial crisis now known as the Great Recession, but inflation was fairly stable throughout the 2010s, before the current inflation crisis began in 2021. Recent years Despite the economic impact of the coronavirus pandemic, the global inflation rate fell to 3.26 percent in the pandemic's first year, before rising to 4.66 percent in 2021. This increase came as the impact of supply chain delays began to take more of an effect on consumer prices, before the Russia-Ukraine war exacerbated this further. A series of compounding issues such as rising energy and food prices, fiscal instability in the wake of the pandemic, and consumer insecurity have created a new global recession, and global inflation in 2024 is estimated to have reached 5.76 percent. This is the highest annual increase in inflation since 1996. Venezuela Venezuela is the country with the highest individual inflation rate in the world, forecast at around 200 percent in 2022. While this is figure is over 100 times larger than the global average in most years, it actually marks a decrease in Venezuela's inflation rate, which had peaked at over 65,000 percent in 2018. Between 2016 and 2021, Venezuela experienced hyperinflation due to the government's excessive spending and printing of money in an attempt to curve its already-high inflation rate, and the wave of migrants that left the country resulted in one of the largest refugee crises in recent years. In addition to its economic problems, political instability and foreign sanctions pose further long-term problems for Venezuela. While hyperinflation may be coming to an end, it remains to be seen how much of an impact this will have on the economy, how living standards will change, and how many refugees may return in the coming years.

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Michael D. Hurd; Maarten van Rooij; Joachim Winter; Michael D. Hurd; Maarten van Rooij; Joachim Winter (2022). Stock Market Crash and Expectations of American Households (replication data) [Dataset]. https://jda-test.zbw.eu/dataset/stock-market-crash-and-expectations-of-american-households

Stock Market Crash and Expectations of American Households (replication data)

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txt(19702), txt(8370), txt(2861253)Available download formats
Dataset updated
Nov 4, 2022
Dataset provided by
ZBW - Leibniz Informationszentrum Wirtschaft
Authors
Michael D. Hurd; Maarten van Rooij; Joachim Winter; Michael D. Hurd; Maarten van Rooij; Joachim Winter
License

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

Description

This paper utilizes data on subjective probabilities to study the impact of the stock market crash of 2008 on households' expectations about the returns on the stock market index. We use data from the Health and Retirement Study that was fielded in February 2008 through February 2009. The effect of the crash is identified from the date of the interview, which is shown to be exogenous to previous stock market expectations. We estimate the effect of the crash on the population average of expected returns, the population average of the uncertainty about returns (subjective standard deviation), and the cross-sectional heterogeneity in expected returns (disagreement). We show estimates from simple reduced-form regressions on probability answers as well as from a more structural model that focuses on the parameters of interest and separates survey noise from relevant heterogeneity. We find a temporary increase in the population average of expectations and uncertainty right after the crash. The effect on cross-sectional heterogeneity is more significant and longer lasting, which implies substantial long-term increase in disagreement. The increase in disagreement is larger among the stockholders, the more informed, and those with higher cognitive capacity, and disagreement co-moves with trading volume and volatility in the market.

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