100+ datasets found
  1. 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...

  2. Inflation Nowcasting

    • clevelandfed.org
    json
    Updated Mar 10, 2017
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    Federal Reserve Bank of Cleveland (2017). Inflation Nowcasting [Dataset]. https://www.clevelandfed.org/indicators-and-data/inflation-nowcasting
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    jsonAvailable download formats
    Dataset updated
    Mar 10, 2017
    Dataset authored and provided by
    Federal Reserve Bank of Clevelandhttps://www.clevelandfed.org/
    License

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

    Description

    The Federal Reserve Bank of Cleveland provides daily “nowcasts” of inflation for two popular price indexes, the price index for personal consumption expenditures (PCE) and the Consumer Price Index (CPI). These nowcasts give a sense of where inflation is today. Released each business day.

  3. T

    United States Consumer Inflation Expectations

    • tradingeconomics.com
    • it.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 9, 2025
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    TRADING ECONOMICS (2025). United States Consumer Inflation Expectations [Dataset]. https://tradingeconomics.com/united-states/inflation-expectations
    Explore at:
    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jun 9, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jun 30, 2013 - Jun 30, 2025
    Area covered
    United States
    Description

    Inflation Expectations in the United States decreased to 3 percent in June from 3.20 percent in May of 2025. This dataset provides - United States Consumer Inflation Expectations- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  4. F

    Producer Price Index by Industry: Other Communications Equipment...

    • fred.stlouisfed.org
    json
    Updated May 15, 2025
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    (2025). Producer Price Index by Industry: Other Communications Equipment Manufacturing: Alarm Systems, Including Electric Sirens and Horns [Dataset]. https://fred.stlouisfed.org/series/PCU3342903342901
    Explore at:
    jsonAvailable download formats
    Dataset updated
    May 15, 2025
    License

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

    Description

    Graph and download economic data for Producer Price Index by Industry: Other Communications Equipment Manufacturing: Alarm Systems, Including Electric Sirens and Horns (PCU3342903342901) from Dec 1985 to Mar 2025 about communication, electricity, equipment, manufacturing, PPI, industry, inflation, price index, indexes, price, and USA.

  5. T

    United States Inflation Rate MoM

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 11, 2025
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    TRADING ECONOMICS (2025). United States Inflation Rate MoM [Dataset]. https://tradingeconomics.com/united-states/inflation-rate-mom
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Jun 11, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Feb 28, 1947 - Jun 30, 2025
    Area covered
    United States
    Description

    The Consumer Price Index in the United States increased 0.30 percent in June of 2025 over the previous month. This dataset provides - United States Inflation Rate MoM - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  6. i

    Tire Pressure Monitoring Lane Departure Warning System Market - Global...

    • imrmarketreports.com
    Updated Feb 2025
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    Swati Kalagate; Akshay Patil; Vishal Kumbhar (2025). Tire Pressure Monitoring Lane Departure Warning System Market - Global Industry Share [Dataset]. https://www.imrmarketreports.com/reports/tire-pressure-monitoring-lane-departure-warning-system-market
    Explore at:
    Dataset updated
    Feb 2025
    Dataset provided by
    IMR Market Reports
    Authors
    Swati Kalagate; Akshay Patil; Vishal Kumbhar
    License

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

    Description

    The Tire Pressure Monitoring Lane Departure Warning System report features an extensive regional analysis, identifying market penetration levels across major geographic areas. It highlights regional growth trends and opportunities, allowing businesses to tailor their market entry strategies and maximize growth in specific regions.

  7. w

    Global Vehicle Level Fully Integrated Tire Pressure Monitoring Sensor Chip...

    • wiseguyreports.com
    Updated Jul 3, 2024
    + more versions
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    wWiseguy Research Consultants Pvt Ltd (2024). Global Vehicle Level Fully Integrated Tire Pressure Monitoring Sensor Chip Market Research Report: By Sensor Type (Absolute Pressure Sensors, Differential Pressure Sensors), By Vehicle Type (Passenger Cars, Commercial Vehicles, Off-Highway Vehicles), By Data Communication Type (Wired, Wireless (RF)), By Application (Tire Inflation Monitoring, Tire Pressure Monitoring, Early Puncture Warning), By Integration Level (Fully integrated, Semi-integrated, External) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/vehicle-level-fully-integrated-tire-pressure-monitoring-sensor-chip-market
    Explore at:
    Dataset updated
    Jul 3, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Jan 7, 2024
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20232.83(USD Billion)
    MARKET SIZE 20243.09(USD Billion)
    MARKET SIZE 20326.2(USD Billion)
    SEGMENTS COVEREDSensor Type ,Platform ,Communication Protocol ,Application ,System Integration ,Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICSGrowing demand for enhanced vehicle safety Stringent government regulations mandating TPMS Rise of connected vehicles and IoT Technological advancements in sensor technology Increasing adoption of electric vehicles
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDNXPI Semiconductors ,Infineon Technologies AG ,STMicroelectronics ,Texas Instruments ,NXP Semiconductors N.V. ,ON Semiconductor ,Analog Devices ,Maxim Integrated Products, Inc. ,Continental AG ,Sensata Technologies ,Denso Corporation ,Mitsubishi Electric Corporation ,Sumitomo Electric Industries, Ltd ,Robert Bosch GmbH ,Murata Manufacturing Co.
    MARKET FORECAST PERIOD2024 - 2032
    KEY MARKET OPPORTUNITIESIncreased safety and security Improved fuel efficiency Reduced maintenance costs Enhanced vehicle performance Improved ride quality
    COMPOUND ANNUAL GROWTH RATE (CAGR) 9.09% (2024 - 2032)
  8. N

    North Carolina Median Household Income Trends (2010-2021, in 2022...

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
    + more versions
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    Neilsberg Research (2024). North Carolina Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/91aa585e-73f0-11ee-949f-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    North Carolina
    Variables measured
    Median Household Income, Median Household Income Year on Year Change, Median Household Income Year on Year Percent Change
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It presents the median household income from the years 2010 to 2021 following an initial analysis and categorization of the census data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset illustrates the median household income in North Carolina, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

    Key observations:

    From 2010 to 2021, the median household income for North Carolina increased by $3,925 (6.38%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

    Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 7 years and declined for 4 years.

    https://i.neilsberg.com/ch/north-carolina-median-household-income-trend.jpeg" alt="North Carolina median household income trend (2010-2021, in 2022 inflation-adjusted dollars)">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

    Years for which data is available:

    • 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

    Variables / Data Columns

    • Year: This column presents the data year from 2010 to 2021
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
    • YOY Change($): Change in median household income between the current and the previous year, in 2022 inflation-adjusted dollars
    • YOY Change(%): Percent change in median household income between current and the previous year

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for North Carolina median household income. You can refer the same here

  9. N

    Burns, WY Median Household Income Trends (2010-2021, in 2022...

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
    + more versions
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    Neilsberg Research (2024). Burns, WY Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/908d180c-73f0-11ee-949f-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Wyoming, Burns
    Variables measured
    Median Household Income, Median Household Income Year on Year Change, Median Household Income Year on Year Percent Change
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It presents the median household income from the years 2010 to 2021 following an initial analysis and categorization of the census data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset illustrates the median household income in Burns, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

    Key observations:

    From 2010 to 2021, the median household income for Burns decreased by $8,778 (15.70%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

    Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 2 years and declined for 9 years.

    https://i.neilsberg.com/ch/burns-wy-median-household-income-trend.jpeg" alt="Burns, WY median household income trend (2010-2021, in 2022 inflation-adjusted dollars)">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

    Years for which data is available:

    • 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

    Variables / Data Columns

    • Year: This column presents the data year from 2010 to 2021
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
    • YOY Change($): Change in median household income between the current and the previous year, in 2022 inflation-adjusted dollars
    • YOY Change(%): Percent change in median household income between current and the previous year

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Burns median household income. You can refer the same here

  10. T

    United States Core Inflation Rate MoM

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 15, 2025
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    TRADING ECONOMICS (2025). United States Core Inflation Rate MoM [Dataset]. https://tradingeconomics.com/united-states/core-inflation-rate-mom
    Explore at:
    excel, csv, json, xmlAvailable download formats
    Dataset updated
    Jul 15, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Feb 28, 1957 - Jun 30, 2025
    Area covered
    United States
    Description

    Core Inflation Rate MoM in the United States increased to 0.20 percent in June from 0.10 percent in May of 2025. This dataset includes a chart with historical data for the United States Core Inflation Rate MoM.

  11. Smart Tire Inflation Cap Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jul 14, 2025
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    Growth Market Reports (2025). Smart Tire Inflation Cap Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/smart-tire-inflation-cap-market
    Explore at:
    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jul 14, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Smart Tire Inflation Cap Market Outlook




    According to our latest research, the global smart tire inflation cap market size reached USD 1.27 billion in 2024, with a robust year-on-year growth rate supported by rising adoption of connected vehicle technologies. The market is projected to register a CAGR of 9.2% from 2025 to 2033, reaching an estimated USD 2.89 billion by 2033. The primary growth driver for this market is the increasing focus on road safety, fuel efficiency, and preventive vehicle maintenance, which is encouraging both individual consumers and fleet operators to invest in advanced tire management solutions.




    The rapid growth of the smart tire inflation cap market is primarily attributed to the escalating demand for real-time tire pressure monitoring and automated tire maintenance. As automotive manufacturers and aftermarket players increasingly integrate smart technologies into vehicle components, tire inflation caps equipped with Bluetooth connectivity, pressure sensors, and solar power capabilities are gaining considerable traction. These innovations not only improve driving safety by reducing the risk of tire blowouts and accidents but also contribute to enhanced fuel economy and lower carbon emissions, aligning with global sustainability goals. Furthermore, stricter government regulations related to vehicle safety and emission standards are compelling both OEMs and consumers to adopt advanced tire management systems, thereby accelerating market expansion.




    Another significant growth factor for the smart tire inflation cap market is the proliferation of connected and autonomous vehicles. The integration of IoT (Internet of Things) and AI-driven diagnostics in modern vehicles is fostering the adoption of smart tire inflation caps that can seamlessly communicate with vehicle telematics systems and mobile applications. This connectivity offers users real-time alerts, predictive maintenance insights, and remote monitoring capabilities, which are particularly valuable for fleet operators managing large numbers of vehicles. Additionally, the increasing consumer awareness regarding the long-term cost savings associated with maintaining optimal tire pressure—such as reduced tire wear and improved mileage—is further fueling demand for these intelligent solutions across both developed and emerging markets.




    The aftermarket segment is also playing a pivotal role in the growth of the smart tire inflation cap market. With a vast number of vehicles already on the road that lack built-in smart tire monitoring systems, the aftermarket presents a lucrative opportunity for manufacturers and retailers. Online retail channels, in particular, are witnessing substantial growth as consumers seek convenient and cost-effective ways to upgrade their vehicles with the latest safety and efficiency technologies. Moreover, the rising popularity of electric vehicles (EVs) and the expansion of shared mobility services are creating new avenues for smart tire inflation cap adoption, as these vehicles often require more rigorous tire management to maximize operational efficiency and safety.




    From a regional perspective, Asia Pacific dominates the global smart tire inflation cap market, accounting for the largest revenue share in 2024, thanks to its expansive automotive industry and rapidly urbanizing population. North America and Europe are also significant contributors, driven by early technology adoption, stringent safety regulations, and a high concentration of commercial fleets. Meanwhile, Latin America and the Middle East & Africa are emerging as promising markets, supported by growing vehicle ownership and increasing awareness of road safety issues. Overall, the global outlook for the smart tire inflation cap market remains highly positive, with technological advancements and evolving consumer preferences expected to sustain strong growth through 2033.





    Product Type Analysis




    The smart tire inflation cap market is segmented by product type into Bluetooth-enabled cap

  12. T

    Australia Inflation Rate

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Apr 30, 2025
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    TRADING ECONOMICS (2025). Australia Inflation Rate [Dataset]. https://tradingeconomics.com/australia/inflation-cpi
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Apr 30, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Mar 31, 1951 - Mar 31, 2025
    Area covered
    Australia
    Description

    Inflation Rate in Australia remained unchanged at 2.40 percent in the first quarter of 2025 from 2.40 percent in the fourth quarter of 2024. This dataset provides the latest reported value for - Australia Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  13. F

    Personal Consumption Expenditures Excluding Food and Energy (Chain-Type...

    • fred.stlouisfed.org
    json
    Updated Jun 27, 2025
    + more versions
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    (2025). Personal Consumption Expenditures Excluding Food and Energy (Chain-Type Price Index) [Dataset]. https://fred.stlouisfed.org/series/PCEPILFE
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jun 27, 2025
    License

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

    Description

    Graph and download economic data for Personal Consumption Expenditures Excluding Food and Energy (Chain-Type Price Index) (PCEPILFE) from Jan 1959 to May 2025 about chained, core, energy, headline figure, PCE, consumption expenditures, consumption, personal, inflation, price index, indexes, price, and USA.

  14. T

    Indonesia Inflation Rate

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 1, 2025
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    TRADING ECONOMICS (2025). Indonesia Inflation Rate [Dataset]. https://tradingeconomics.com/indonesia/inflation-cpi
    Explore at:
    csv, json, excel, xmlAvailable download formats
    Dataset updated
    Jul 1, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Nov 30, 1997 - Jun 30, 2025
    Area covered
    Indonesia
    Description

    Inflation Rate in Indonesia increased to 1.87 percent in June from 1.60 percent in May of 2025. This dataset provides - Indonesia Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  15. N

    Hawaii Median Household Income Trends (2010-2021, in 2022 inflation-adjusted...

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
    + more versions
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    Neilsberg Research (2024). Hawaii Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/90e74d7b-73f0-11ee-949f-3860777c1fe6/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Hawaii
    Variables measured
    Median Household Income, Median Household Income Year on Year Change, Median Household Income Year on Year Percent Change
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It presents the median household income from the years 2010 to 2021 following an initial analysis and categorization of the census data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset illustrates the median household income in Hawaii, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

    Key observations:

    From 2010 to 2021, the median household income for Hawaii increased by $5,507 (6.14%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

    Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 7 years and declined for 4 years.

    https://i.neilsberg.com/ch/hawaii-median-household-income-trend.jpeg" alt="Hawaii median household income trend (2010-2021, in 2022 inflation-adjusted dollars)">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

    Years for which data is available:

    • 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

    Variables / Data Columns

    • Year: This column presents the data year from 2010 to 2021
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
    • YOY Change($): Change in median household income between the current and the previous year, in 2022 inflation-adjusted dollars
    • YOY Change(%): Percent change in median household income between current and the previous year

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Hawaii median household income. You can refer the same here

  16. Smart Bicycle Tire Pressure Monitor Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jun 28, 2025
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    Growth Market Reports (2025). Smart Bicycle Tire Pressure Monitor Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/smart-bicycle-tire-pressure-monitor-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Smart Bicycle Tire Pressure Monitor Market Outlook



    According to our latest research, the global smart bicycle tire pressure monitor market size reached USD 325.7 million in 2024, demonstrating robust expansion driven by the increasing adoption of smart cycling technologies. The market is expected to grow at a CAGR of 10.2% from 2025 to 2033, reaching an estimated USD 782.6 million by 2033. This impressive growth trajectory is underpinned by the surge in demand for real-time tire pressure monitoring solutions among both professional and recreational cyclists, as well as the proliferation of connected and IoT-enabled cycling accessories. As per our latest research, the market’s upward momentum is further supported by growing safety concerns, advancements in sensor technologies, and the expanding popularity of e-bikes and smart mobility solutions worldwide.




    One of the primary growth factors fueling the smart bicycle tire pressure monitor market is the heightened emphasis on cyclist safety and performance optimization. Cyclists, both professional and recreational, are increasingly recognizing the crucial role that accurate tire pressure plays in ensuring optimal grip, reducing the risk of accidents, and enhancing overall riding efficiency. The integration of advanced tire pressure monitoring systems (TPMS) allows users to receive real-time alerts about pressure deviations, thereby preventing potential tire blowouts and reducing maintenance costs. Additionally, the growing prevalence of competitive cycling events and the rising popularity of long-distance biking tours have intensified the need for reliable and user-friendly tire pressure monitoring solutions. Manufacturers are responding to these demands by innovating with compact, wireless, and easy-to-install TPMS devices that are compatible with a wide range of bicycle models, further bolstering market expansion.




    Technological advancements in sensor technologies represent another significant driver for the smart bicycle tire pressure monitor market. The evolution of direct and indirect TPMS sensors, coupled with advancements in battery efficiency, Bluetooth connectivity, and mobile app integration, has greatly enhanced the accuracy, durability, and user experience of these devices. Modern smart bicycle tire pressure monitors now offer features such as historical data tracking, customizable alerts, and seamless integration with cycling computers and fitness trackers. These innovations not only appeal to tech-savvy cyclists but also attract new entrants to the market who are seeking to upgrade their cycling experience with smart, data-driven insights. Furthermore, the increasing investments by leading industry players in research and development are expected to yield even more sophisticated and affordable TPMS solutions, accelerating market penetration across diverse user segments.




    The rapid expansion of the e-bike segment is another crucial growth catalyst for the smart bicycle tire pressure monitor market. E-bikes, which are witnessing exponential adoption rates in urban and suburban areas due to their convenience and eco-friendliness, require precise tire pressure management to optimize battery range, ride comfort, and safety. As a result, e-bike manufacturers are increasingly incorporating integrated TPMS as a standard or optional feature in their product offerings. This trend is particularly pronounced in regions with mature cycling cultures, such as Europe and North America, where consumers are willing to invest in premium cycling accessories that enhance their riding experience. The convergence of smart mobility trends, rising environmental consciousness, and supportive government policies promoting sustainable transportation is expected to further amplify demand for smart bicycle tire pressure monitors in the coming years.




    From a regional perspective, Europe currently leads the global smart bicycle tire pressure monitor market, accounting for the largest revenue share in 2024. This dominance is attributed to the region’s strong cycling culture, high adoption of e-bikes, and stringent safety regulations. North America follows closely, driven by a growing community of cycling enthusiasts and increasing investments in cycling infrastructure. The Asia Pacific region, meanwhile, is emerging as the fastest-growing market, propelled by rapid urbanization, rising disposable incomes, and government initiatives promoting green mobility. Latin America and the Middle East & Africa are also witnessing gradual uptake, primarily in urban cente

  17. w

    Global Commercial Vehicle Sensors Market Research Report: By Sensor Type...

    • wiseguyreports.com
    Updated Jul 19, 2024
    + more versions
    Share
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    wWiseguy Research Consultants Pvt Ltd (2024). Global Commercial Vehicle Sensors Market Research Report: By Sensor Type (Radar Sensors, LiDAR Sensors, Camera Sensors, Ultrasonic Sensors, Tire Pressure Monitoring Sensors, Road Condition Monitoring Sensors), By Vehicle Type (Trucks, Buses, Vans, Construction Vehicles, Agricultural Vehicles, Mining Vehicles), By Application (Collision Warning Systems, Lane Departure Warning Systems, Blind Spot Monitoring Systems, Adaptive Cruise Control Systems, Vehicle Stability Control Systems, Tire Pressure Monitoring Systems) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032. [Dataset]. https://www.wiseguyreports.com/reports/commercial-vehicle-sensors-market
    Explore at:
    Dataset updated
    Jul 19, 2024
    Dataset authored and provided by
    wWiseguy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    Jan 7, 2024
    Area covered
    Global
    Description
    BASE YEAR2024
    HISTORICAL DATA2019 - 2024
    REPORT COVERAGERevenue Forecast, Competitive Landscape, Growth Factors, and Trends
    MARKET SIZE 20238.43(USD Billion)
    MARKET SIZE 20249.1(USD Billion)
    MARKET SIZE 203216.8(USD Billion)
    SEGMENTS COVEREDSensor Type ,Vehicle Type ,Application ,Regional
    COUNTRIES COVEREDNorth America, Europe, APAC, South America, MEA
    KEY MARKET DYNAMICS1 Increasing demand for safety features 2 Growing adoption of ADAS and autonomous driving 3 Stringent government regulations 4 Technological advancements 5 Entry of new players
    MARKET FORECAST UNITSUSD Billion
    KEY COMPANIES PROFILEDRobert Bosch GmbH ,Analog Devices, Inc. ,Infineon Technologies AG ,TE Connectivity ,Honeywell International Inc. ,Eaton Corporation ,NXP Semiconductors N.V. ,Denso Corporation ,Molex, LLC ,Delphi Automotive LLP ,Sensata Technologies, Inc. ,Continental Automotive GmbH ,Siemens AG ,ZF Friedrichshafen AG ,Aptiv Plc
    MARKET FORECAST PERIOD2024 - 2032
    KEY MARKET OPPORTUNITIESAutonomous driving advancements Growing demand for safety features Increasing adoption of fleet management systems Integration of sensors into electric vehicles Expansion of aftermarket sales
    COMPOUND ANNUAL GROWTH RATE (CAGR) 7.97% (2024 - 2032)
  18. I

    Advanced Driver Assistance Systems (ADAS) Market Size, Industry Analysis By...

    • infinitivedataexpert.com
    pdf
    Updated Oct 25, 2023
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    Infinitive Data Expert (2023). Advanced Driver Assistance Systems (ADAS) Market Size, Industry Analysis By System Type (Adaptive Cruise Control, Blind Spot Detection, Park Assist, Lane Departure Warning System, Autonomous Emergency Braking, Forward Collision Warning, Tire Pressure Monitoring, Head-Up Display, Intelligent Headlights, Forward Collision Warning, E-Call System), By Component Type (LiDAR, Radar, Camera, Sensors), By Vehicle Type (Passenger Car, Light Commercial Vehicle, and Heavy Commercial Vehicle) – Global, Trends, Share And Forecast 2023-2030 [Dataset]. https://www.infinitivedataexpert.com/industry-report/advanced-driver-assistance-systems-adas-market
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Oct 25, 2023
    Dataset authored and provided by
    Infinitive Data Expert
    License

    https://www.infinitivedataexpert.com/page/privacy-policyhttps://www.infinitivedataexpert.com/page/privacy-policy

    Time period covered
    2023 - 2032
    Area covered
    Global
    Description

    During the projection period of 2023-2030, the worldwide ADAS market is projected to grow from its 2022 valuation of USD 30.19 billion to a peak of USD 65.16 billion. Market size, growth, share

  19. N

    Pennsylvania Median Household Income Trends (2010-2021, in 2022...

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
    + more versions
    Share
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    Neilsberg Research (2024). Pennsylvania Median Household Income Trends (2010-2021, in 2022 inflation-adjusted dollars) [Dataset]. https://www.neilsberg.com/research/datasets/91baabe5-73f0-11ee-949f-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

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

    Area covered
    Pennsylvania
    Variables measured
    Median Household Income, Median Household Income Year on Year Change, Median Household Income Year on Year Percent Change
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It presents the median household income from the years 2010 to 2021 following an initial analysis and categorization of the census data. Subsequently, we adjusted these figures for inflation using the Consumer Price Index retroactive series via current methods (R-CPI-U-RS). For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset illustrates the median household income in Pennsylvania, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

    Key observations:

    From 2010 to 2021, the median household income for Pennsylvania increased by $5,055 (7.43%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

    Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 7 years and declined for 4 years.

    https://i.neilsberg.com/ch/pennsylvania-median-household-income-trend.jpeg" alt="Pennsylvania median household income trend (2010-2021, in 2022 inflation-adjusted dollars)">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

    Years for which data is available:

    • 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

    Variables / Data Columns

    • Year: This column presents the data year from 2010 to 2021
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
    • YOY Change($): Change in median household income between the current and the previous year, in 2022 inflation-adjusted dollars
    • YOY Change(%): Percent change in median household income between current and the previous year

    Good to know

    Margin of Error

    Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

    Custom data

    If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

    Inspiration

    Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

    Recommended for further research

    This dataset is a part of the main dataset for Pennsylvania median household income. You can refer the same here

  20. Smart Bus Tire Pressure System Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Jun 28, 2025
    + more versions
    Share
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    Click to copy link
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    Close
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    Growth Market Reports (2025). Smart Bus Tire Pressure System Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/smart-bus-tire-pressure-system-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Smart Bus Tire Pressure System Market Outlook



    According to our latest research, the global Smart Bus Tire Pressure System market size reached USD 1.32 billion in 2024, reflecting the increasing adoption of advanced safety and efficiency technologies in the transportation sector. The market is expected to grow at a robust CAGR of 9.7% from 2025 to 2033, and is forecasted to attain a value of USD 3.02 billion by 2033. This strong growth is primarily driven by the rising focus on passenger safety, regulatory mandates for tire pressure monitoring, and the push for operational efficiency in public and private bus fleets worldwide.




    The growth trajectory of the Smart Bus Tire Pressure System market is underpinned by several key factors. One of the most significant drivers is the stringent regulatory environment that mandates the installation of tire pressure monitoring systems (TPMS) in commercial vehicles, including buses, across major economies. Governments and transportation authorities are increasingly prioritizing road safety, and tire-related incidents are a major cause of accidents and breakdowns in buses. Smart TPMS solutions help fleet operators comply with these regulations by providing real-time monitoring, alerts, and predictive maintenance capabilities, thereby reducing the risk of accidents and enhancing overall road safety. This regulatory push is especially prominent in regions such as North America and Europe, where compliance is strictly enforced, but emerging economies are also catching up as they modernize their transportation infrastructure.




    Another critical growth factor is the operational efficiency and cost savings enabled by smart bus tire pressure systems. Fleet operators are under constant pressure to minimize downtime, reduce maintenance costs, and improve fuel efficiency. Under-inflated or over-inflated tires can lead to increased fuel consumption, uneven tire wear, and unexpected breakdowns, all of which impact the bottom line. Smart TPMS solutions provide actionable data, enabling timely interventions and predictive maintenance. This not only extends the lifespan of tires but also ensures optimal fuel consumption, translating to significant cost savings over time. Furthermore, the integration of these systems with fleet management platforms allows for centralized monitoring and analytics, further enhancing operational efficiency.




    Technological advancements and the proliferation of connected vehicles are also playing a pivotal role in market expansion. The integration of IoT, wireless sensors, and AI-based analytics into TPMS solutions has transformed them from basic monitoring tools into comprehensive safety and maintenance platforms. Modern smart bus tire pressure systems offer features such as real-time alerts, remote diagnostics, historical data analysis, and even integration with autonomous driving systems. These advancements are not only attracting new customers but are also encouraging existing fleet operators to upgrade their legacy systems. The growing trend of smart cities and connected transportation infrastructure further amplifies the demand for such sophisticated solutions, positioning the market for sustained growth in the coming years.




    From a regional perspective, the Asia Pacific region is emerging as a powerhouse in the Smart Bus Tire Pressure System market. Rapid urbanization, expanding public transportation networks, and increasing investments in smart mobility solutions are driving demand in countries such as China, India, and Japan. North America and Europe remain mature markets with high adoption rates, primarily due to regulatory mandates and established transportation infrastructure. However, Latin America and the Middle East & Africa are also witnessing steady growth, fueled by modernization efforts and rising awareness about road safety. The global distribution of demand underscores the universal relevance of smart TPMS solutions and highlights the market’s broad-based growth potential.





    Component Analysis



    The Smart Bus Tire Pr

Share
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Click to copy link
Link copied
Close
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Linda Wang; Linda Wang (2022). Inflation Data [Dataset]. http://doi.org/10.15139/S3/QA4MPU

Inflation Data

Explore at:
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...

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