Facebook
Twitterhttps://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html
This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.
Historical daily stock prices (open, high, low, close, volume)
Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)
Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)
Feature engineering based on financial data and technical indicators
Sentiment analysis data from social media and news articles
Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
Researchers investigating the effectiveness of machine learning in stock market prediction
Analysts developing quantitative trading Buy/Sell strategies
Individuals interested in building their own stock market prediction models
Students learning about machine learning and financial applications
The dataset may include different levels of granularity (e.g., daily, hourly)
Data cleaning and preprocessing are essential before model training
Regular updates are recommended to maintain the accuracy and relevance of the data
Facebook
Twitterhttps://www.transparencymarketresearch.com/privacy-policy.htmlhttps://www.transparencymarketresearch.com/privacy-policy.html
Global Inflation Devices Market Snapshot
| Attribute | Detail |
|---|---|
| Market Value in 2022 | US$ 537.7 Mn |
| Forecast (Value) in 2031 | US$ 851.8 Mn |
| Growth Rate (CAGR) | 5.2% |
| Forecast Period | 2023-2031 |
| Historical Data Available for | 2017-2021 |
| Quantitative Units | US$ Mn for Value |
| Market Analysis | It provides segment analysis as well as regional level analysis. Furthermore, qualitative analysis includes drivers, restraints, opportunities, key trends, Porter’s Five Forces analysis, value chain analysis, and key trend analysis. |
| Competition Landscape |
|
| Format | Electronic (PDF) + Excel |
| Market Segmentation |
|
| Regions Covered |
|
| Countries Covered |
|
| Companies Profiled |
|
| Customization Scope | Available upon request |
| Pricing | Available upon request |
Facebook
TwitterThis Economic Commentary examines the recent behavior and the longer-term properties of market-based and non-market-based inflation series, including their cyclical properties, historical revisions, and predictive power in explaining future PCE inflation. The examination reveals a statistically significant association between market-based PCE inflation and estimates of labor market slack, and a strong positive association between movements in the stock market and in some of the financial services components of non-market-based PCE inflation. Disinflation in overall PCE inflation over the course of 2023 and 2024 was largely driven by disinflation in the market-based components, coinciding with a gradual loosening in labor market conditions.
Facebook
Twitterhttps://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/
This dataset provides detailed Consumer Price Index (CPI) data to support economic research, financial forecasting, and market analysis of Food Items in the United States of America from the years 2002 to 2023. The CPI is a crucial economic indicator that measures the average change over time in the prices paid by consumers for goods and services. This dataset is ideal for analyzing inflation trends, assessing purchasing power, and understanding market behavior.
Facebook
TwitterIn the United States, year-on-year (YoY) inflation for online grocery products was approximately **** percent as of October 2022. From June 2021 to October 2022, monthly inflation in this category was the highest in August 2022, at roughly ** percent.
Inflationary market
Inflation has skyrocketed. In the United States, the inflation rate peaked at *** percent as of June 2022. The last time the U.S. saw such high values was in 1990, when the inflation rate stood at *** percent. But it's not all doom and gloom. According to a forecast, the global inflation rate will decrease to **** percent in 2023 and continue to decline.
Ever-rising prices
Consumers are changing their shopping habits in response to the bleakest inflationary market the industry has seen in decades. Rising grocery prices are the main issue affecting online shoppers worldwide. While grocery products are the latest items to be cut off by consumers in times of instability, rising prices will cause shoppers to purchase less and find cheaper alternatives for fashion items. Moreover, in February 2022, roughly ** percent of global buyers changed their purchase habits with alcoholic beverages, ** percent with packaged food, and ** percent with fresh food.
Facebook
Twitterhttps://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy
The Inflation Devices Market Report is Segmented by Product Type (Analog Inflation Devices, Digital Inflation Devices), Pressure Range (less Than 15 Atm, 15 – 30 Atm, More Than 30 Atm), Application (Coronary Angioplasty, Peripheral Angioplasty, and More), End User (Hospitals, Ambulatory Surgical Centers, and More, and Geography (North America, Europe, and More). The Market Forecasts are Provided in Terms of Value (USD).
Facebook
Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for Equity Market Volatility Tracker: Macroeconomic News and Outlook: Inflation (EMVMACROINFLATION) from Jan 1985 to Nov 2025 about volatility, uncertainty, equity, inflation, and USA.
Facebook
Twitterhttps://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain
Graph and download economic data for FOMC Summary of Economic Projections for the Personal Consumption Expenditures less Food and Energy Inflation Rate, Central Tendency, Low (JCXFECTL) from 2025 to 2028 about core, projection, PCE, consumption expenditures, consumption, personal, inflation, rate, and USA.
Facebook
TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
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...
Facebook
TwitterThis statistic shows the average inflation rate in the emerging market and developing economies from 2020 to 2024, with projections up until 2030. In 2024, the average inflation rate in the emerging market and developing economies amounted to about 7.74 percent compared to the previous year.
Facebook
TwitterRent inflation responds more to labor market conditions compared with other components of inflation. We attribute this link between labor market tightness and rent inflation to greater demand for rental units afforded by job gains and wage growth. Although online measures of asking rents currently suggest official measures of rent inflation will decline, we caution that rent inflation is likely to remain above pre-pandemic levels so long as the labor market remains tight.
Facebook
Twitterhttps://www.traditiondata.com/terms-conditions/https://www.traditiondata.com/terms-conditions/
TraditionData’s Inflation Swaps service offers detailed market data for managing the risk of future inflation. This service provides:
For further details, visit TraditionData Inflation Swaps.
Facebook
Twitter
According to our latest research, the global Inflation-Linked Structured Notes market size reached USD 78.4 billion in 2024, reflecting robust investor demand and heightened awareness of inflationary risks. The market is currently experiencing a strong compound annual growth rate (CAGR) of 7.1% and is projected to expand to USD 145.7 billion by 2033. This significant growth trajectory is primarily driven by increased volatility in global inflation rates, a shift toward inflation-hedged investment products, and evolving regulatory frameworks that favor structured financial solutions.
The growth of the Inflation-Linked Structured Notes market is being propelled by several key factors. One of the most prominent drivers is the resurgence of inflationary pressures across major economies, which has prompted both institutional and retail investors to seek effective hedging mechanisms. As central banks grapple with persistent inflation, traditional fixed-income products have lost their appeal due to eroding real returns. Inflation-linked structured notes, with their embedded inflation protection features, provide a compelling alternative by offering returns that are directly tied to inflation indices, thus preserving purchasing power. Moreover, the increasing sophistication of investors, coupled with greater access to financial education, has led to a surge in demand for customized structured products that align with specific risk-return profiles.
Another significant growth factor is the rapid innovation in product design and the broadening of underlying asset classes available for inflation-linked structured notes. Financial institutions are leveraging advanced analytics and financial engineering to craft notes that cater to diverse investment objectives, ranging from capital preservation to enhanced yield generation. The integration of government bonds, corporate bonds, equities, and commodities as underlying assets has expanded the appeal of these notes, attracting a wider spectrum of investors. Additionally, the proliferation of digital distribution channels and fintech platforms has democratized access to structured notes, enabling retail investors to participate alongside their institutional counterparts. This technological advancement has also streamlined the issuance and management process, reducing operational costs and enhancing transparency.
Regulatory developments are further shaping the trajectory of the Inflation-Linked Structured Notes market. In response to the 2008 financial crisis and subsequent market disruptions, regulators have implemented stricter transparency and disclosure requirements for structured products. These measures have bolstered investor confidence and encouraged greater participation, particularly among risk-averse segments. Furthermore, regulatory frameworks in regions such as North America and Europe are increasingly supportive of innovative financial instruments that offer inflation protection, thereby fostering a conducive environment for market expansion. As a result, market participants are witnessing a steady influx of new product issuances and a growing appetite among both institutional and retail investors.
Equity-Linked Notes have emerged as a notable addition to the structured finance landscape, offering investors a unique blend of equity market exposure and structured note benefits. These instruments are designed to provide returns linked to the performance of specific equities or equity indices, allowing investors to participate in potential market upside while often incorporating protective features to mitigate downside risk. The appeal of Equity-Linked Notes lies in their ability to customize risk-return profiles, making them attractive to both conservative and aggressive investors. As financial markets continue to evolve, the demand for such tailored investment solutions is expected to grow, driven by investors' desire for diversification and enhanced yield potential.
From a regional perspective, North America and Europe continue to dominate the Inflation-Linked Structured Notes market, accounting for a significant share of global issuance and trading volumes. The United States, in particular, benefits from a mature financial ecosystem and a high concentration of institutional investors seeking inflation-hedg
Facebook
TwitterIBISWorld examines the potentially significant effects of a global recession on domestic industries, businesses and consumers.
Facebook
Twitterhttps://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy
According to our latest research, the global inflation-linked structured notes market size reached USD 92.8 billion in 2024, reflecting the growing demand for inflation-hedged investment products amid persistent economic uncertainty. The market is projected to expand at a robust CAGR of 6.7% from 2025 to 2033, with the total market value forecasted to hit USD 167.1 billion by 2033. This sustained growth is primarily driven by heightened investor awareness of inflation risks, increased volatility in traditional asset classes, and the proliferation of innovative structured note products catering to diverse investor profiles.
One of the primary growth factors fueling the inflation-linked structured notes market is the global resurgence of inflationary pressures, which has compelled investors to seek out instruments that can provide both principal protection and real returns. Central banks across major economies have either maintained or hiked interest rates in response to persistent price increases, prompting institutional and retail investors alike to rebalance their portfolios towards inflation-sensitive assets. Inflation-linked structured notes, with their ability to deliver returns indexed to inflation benchmarks, have emerged as a preferred choice for investors seeking to preserve purchasing power without sacrificing yield. As inflation expectations remain elevated, demand for these notes is expected to remain strong across both developed and emerging markets.
Another significant driver is the ongoing innovation within the structured products industry, which has led to the introduction of more sophisticated inflation-linked notes tailored to specific risk-return appetites. Financial engineers have developed products such as digital notes, callable notes, and zero-coupon variants that offer varying degrees of exposure to inflation, credit, and equity risks. This product diversification has expanded the addressable market, attracting a broader spectrum of investors, from risk-averse institutions to yield-seeking high net worth individuals. Additionally, advancements in digital platforms and distribution channels have democratized access to these products, enabling retail investors to participate in previously inaccessible structured note offerings. This democratization is further supported by improved transparency, regulatory oversight, and investor education initiatives.
The market's growth is also underpinned by the increasing integration of inflation-linked structured notes into institutional investment strategies, particularly among pension funds, insurance companies, and sovereign wealth funds. These entities face long-term liabilities that are highly sensitive to inflation, making inflation-linked products a natural hedge. The growing sophistication of risk management frameworks and portfolio construction tools has allowed institutions to incorporate structured notes more effectively, optimizing their risk-adjusted returns. Furthermore, the entry of non-traditional players such as fintech firms and digital banks into the structured notes market has spurred competition and innovation, enhancing product offerings and reducing costs for end-users.
Regionally, North America and Europe continue to dominate the inflation-linked structured notes market, accounting for a combined share of over 60% in 2024, according to our analysis. This dominance is attributed to the mature financial markets, high levels of investor sophistication, and well-established regulatory environments in these regions. However, the Asia Pacific region is witnessing the fastest growth, driven by rising affluence, expanding capital markets, and a growing awareness of inflation risks among investors. Latin America and the Middle East & Africa are also emerging as important markets, supported by economic reforms and increasing participation of institutional investors. The regional dynamics are expected to evolve further as global macroeconomic conditions shift and regulatory frameworks adapt to new market realities.
The inflation-linked structured notes market is segmented by product type into zero-coupon notes, coupon-bearing notes, callable notes, digital notes, and others. Zero-coupon notes have gained traction among conservative investors seeking inflation protection without periodic income payouts. These notes are typically issued at a discount and matu
Facebook
TwitterSince the COVID-19 pandemic, the United States has experienced sharply rising then falling inflation alongside persistent labor market imbalances. This Economic Commentary interprets these macroeconomic dynamics, as represented by the Beveridge and Phillips curves, through the lens of a macroeconomic model. It uses the structure of the model to rationalize the debate about whether the US economy can expect a hard or soft landing. The model is surprised by the resiliency of the labor market as the US economy experienced disinflation. We suggest that the model’s limited ability to capture this resiliency is a feature of using a linear model to forecast the historically unprecedented movements seen after the pandemic among inflation, unemployment, and vacancy rates. We explain how, by adjusting the model to mimic congestion in a tight labor market and greater wage and price flexibility in a high-inflation environment, as during the post-pandemic period, the model can then capture what has been a path consistent with a soft landing.
Facebook
TwitterFood inflation remains higher than measures of overall inflation, and labor markets have been tight. We find that processed food products have driven recent increases in grocery prices, and we argue that labor market tightness affects the prices of these labor-intensive products in particular through increases in production and distribution costs. Food inflation at grocery stores could remain elevated if price pressures on the supply side persist and demand for food at home remains strong.
Facebook
TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Brazil Market Expectation: Inflation: Accumulated Over Next 12 Months: Extended National Consumer Price Index (IPCA): Smoothed: Median data was reported at 3.680 % in 28 Jun 2019. This records an increase from the previous number of 3.670 % for 27 Jun 2019. Brazil Market Expectation: Inflation: Accumulated Over Next 12 Months: Extended National Consumer Price Index (IPCA): Smoothed: Median data is updated daily, averaging 5.240 % from Dec 2001 (Median) to 28 Jun 2019, with 4401 observations. The data reached an all-time high of 12.350 % in 19 Dec 2002 and a record low of 3.380 % in 23 May 2007. Brazil Market Expectation: Inflation: Accumulated Over Next 12 Months: Extended National Consumer Price Index (IPCA): Smoothed: Median data remains active status in CEIC and is reported by Central Bank of Brazil. The data is categorized under Brazil Premium Database’s Business and Economic Survey – Table BR.SA032: Market Expectation: Inflation: Accumulated Over Next 12 Months: Extended National Consumer Price Index (IPCA): Smoothed. Market Expectations System was implemented in November 2001, previous projections were collected from incipient through telephone contacts, transcribed into spreadsheets and consolidated manually. Some empty time points occurred because the Market didn´t have the expectation for those days. Monitors the variations in costs of people earning from one to forty minimum wages in the metropolitan areas of Belém, Belo Horizonte, Curitiba, Fortaleza, Porto Alegre, Recife, Rio de Janeiro, Salvador, São Paulo, municipality of Goiânia and Federal District. The IPCA measures the change in cost of expenses as described above in the period from the first to the last day of each reference month. In the period from the eleventh day to the twenty day of the following month the IBGE announces the variations.
Facebook
TwitterThe source forecast that, in 2023, the cost of advertising on digital videos in Argentina will increase by an average of ** percent. The medium's average inflation rate in Turkey and Taiwan will reach ** and ** percent that year, respectively.
Facebook
TwitterLow income Mexican households were the most affected by inflation. According to the source, the annual inflation rate of the representative consumer basket of households with low income experienced the largest increase in February 2024: **** percent compared to the same month of the previous year. By contrast, the market basket of high income households (those that earn, on average, a monthly income of ****** Mexican pesos) registered an inflation rate of **** percent.
Facebook
Twitterhttps://www.kappasignal.com/p/legal-disclaimer.htmlhttps://www.kappasignal.com/p/legal-disclaimer.html
This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.
Historical daily stock prices (open, high, low, close, volume)
Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)
Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)
Feature engineering based on financial data and technical indicators
Sentiment analysis data from social media and news articles
Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)
Stock price prediction
Portfolio optimization
Algorithmic trading
Market sentiment analysis
Risk management
Researchers investigating the effectiveness of machine learning in stock market prediction
Analysts developing quantitative trading Buy/Sell strategies
Individuals interested in building their own stock market prediction models
Students learning about machine learning and financial applications
The dataset may include different levels of granularity (e.g., daily, hourly)
Data cleaning and preprocessing are essential before model training
Regular updates are recommended to maintain the accuracy and relevance of the data