A dataset of mentions, growth rate, and total volume of the keyphrase 'Permanent Inflation Protection' over time.

United States Federal Debt: PDS: Marketable: T Inflation Protected Securities data was reported at 1,382.288 USD bn in Oct 2018. This records an increase from the previous number of 1,376.426 USD bn for Sep 2018. United States Federal Debt: PDS: Marketable: T Inflation Protected Securities data is updated monthly, averaging 693.766 USD bn from Jun 2004 (Median) to Oct 2018, with 173 observations. The data reached an all-time high of 1,382.288 USD bn in Oct 2018 and a record low of 200.391 USD bn in Jun 2004. United States Federal Debt: PDS: Marketable: T Inflation Protected Securities data remains active status in CEIC and is reported by Bureau of the Fiscal Service. The data is categorized under Global Database’s United States – Table US.F004: Federal Debt.

According to a survey conducted in November 2022, the majority of Hungarians limited their expenses in order to protect themselves from peaking inflation rates. At the same time, 14 percent of the respondents stated that they took a second job to achieve financial security.

Treasury Inflation-Protected Securities, also known as TIPS, are securities whose principal is tied to the Consumer Price Index. With inflation, the principal increases. With deflation, it decreases. When the security matures, the U.S. Treasury pays the original or adjusted principal, whichever is greater.

This study addresses the question: Why isn't indexation practiced more widely around the world? Indexation is assured by institutions and contract provisions that protect people against the effects of unanticipated inflation, as measured by a consumer price index or similar index. Examples of institutions that promote indexation are cost of living allowances, escalator clauses, or inflation-protected bonds. Subjects were interviewed to understand their lack of interest in indexation. Questionnaire surveys were administered in the United States and in Turkey (where inflation rates are much higher and where there is still little indexation) in 1996. Many causes of this lack of interest in indexation are studied, prominent among them being lack of appreciation of inflation uncertainty, lack of trust in the government, and beliefs that high inflation, if it were to come, would coincide with times of economic and political instability.

Yield to maturity on accrued principal. Treasury Inflation-Protected Securities, or TIPS, are securities whose principal is tied to the Consumer Price Index (CPI). The principal increases with inflation and decreases with deflation. When the security matures, the U.S. Treasury pays the original or adjusted principal, whichever is greater. Copyright, 2016, Haver Analytics. Reprinted with permission.

Yield to maturity on accrued principal. Treasury Inflation-Protected Securities, or TIPS, are securities whose principal is tied to the Consumer Price Index (CPI). The principal increases with inflation and decreases with deflation. When the security matures, the U.S. Treasury pays the original or adjusted principal, whichever is greater. Copyright, 2016, Haver Analytics. Reprinted with permission.

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.

iShares iBonds Oct 2026 Term TIPS ETF: Inflation Protection in Sight?

Financial data:

• 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)

Machine learning features:

• 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)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• 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

Additional Notes:

• 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

This submission includes publicly available data extracted in its original form. Please reference the Related Publication listed here for source and citation information "The Environmental and Climate Justice Program (ECJ Program), created by the Inflation Reduction Act (IRA), provides funding for financial and technical assistance to carry out environmental and climate justice activities to benefit disadvantaged communities. EPA has created the EPA Disadvantaged Community Environmental and Climate Justice Program map to assist potential applicants seeking to identify whether a community is disadvantaged for the purposes of implementing the ECJ Program. The EPA Disadvantaged Communities Environmental and Climate Justice program map includes the following components: EPA IRA Disadvantaged Communities 1.0 map EPA IRA Disadvantaged Communities 2.0 map Any area of American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, or the U.S. Virgin Islands The EPA IRA Disadvantaged Communities maps combines multiple datasets that individually can be used to determine whether a community is disadvantaged for the purposes of implementing programs under the IRA. All data sets are assigned values at the Census block group level. The criteria and associated datasets used in the maps are: Any census tract that is included as disadvantaged in the Climate and Economic Justice Screening Tool (CEJST) Any census block group at or above the 90th percentile for any of EJScreen’s Supplemental Indexes when compared to the nation or state, and/or any of the following geographic areas within the Tribal lands category in EJScreen: Alaska Native Allotments Alaska Native Villages American Indian Reservations American Indian Off-reservation Trust Lands Oklahoma Tribal Statistical Areas The EPA IRA Disadvantaged Communities 1.0 map uses data from EJScreen version 2.2. The EPA IRA Disadvantaged Communities 2.0 map uses data from EJScreen version 2.3. To further assist applicants, EPA has provided the underlying data for the map" [Quote from https://www.epa.gov/environmentaljustice/inflation-reduction-act-disadvantaged-communities-map] Note: If you have questions about the underlying data, please contact the Environmental Protection Agency (environmental-justice@epa.gov). If you have questions or recommendations related to this metadata entry, please contact the CAFE Data Management team at: climatecafe@bu.edu

These rates are commonly referred to as "Real Constant Maturity Treasury" rates, or R-CMTs. Real yields on Treasury Inflation Protected Securities (TIPS) at "constant maturity" are interpolated by the U.S. Treasury from Treasury's daily real yield curve. These real market yields are calculated from composites of secondary market quotations obtained by the Federal Reserve Bank of New York. The real yield values are read from the real yield curve at fixed maturities, currently 5, 7, 10, 20, and 30 years. This method provides a real yield for a 10 year maturity, for example, even if no outstanding security has exactly 10 years remaining to maturity. Dataset updated daily every weekday.

Before handing over to President Trump, President Biden's administration in the United States obligated the spending of ** percent of the clean energy funds allocated by the Inflation Reduction Act (IRA). The Environmental Protection Agency (EPA) awarded ** billion U.S. dollars in binding contracts signed as of January 2025.

This dataset shows the average interest rates for U.S. Treasury securities for the most recent month compared with the same month of the previous year. The data is broken down by the various marketable and non-marketable securities. The summary page for the data provides links for monthly reports from 2001 through the current year. Average Interest Rates are calculated on the total unmatured interest-bearing debt. The average interest rates for total marketable, total non-marketable and total interest-bearing debt do not include the U.S. Treasury Inflation-Protected Securities.

The files listed below illustrate the Average Interest Rates for marketable and non-marketable securities over a two-year period for comparative purposes. Select the time period you are interested in to view the rates. Note: Average Interest Rates are calculated on the total unmatured interest-bearing debt. The average interest rates for total marketable, total non-marketable and total interest-bearing debt do not include the U.S. Treasury Inflation-Protected Securities

Precious Metal Market Outlook

As of 2023, the global market size for precious metals is valued at approximately $250 billion, and it is projected to reach around $370 billion by 2032, with a compound annual growth rate (CAGR) of 4.3%. This robust growth is driven by several factors, including increasing demand from emerging markets, heightened investment interests, and technological advancements in industrial applications. Precious metals, particularly gold and silver, have long been valued as safe-haven assets, but recent trends indicate a broader scope of applications, which is further fueling market expansion.

The growth of the precious metal market is significantly influenced by the geopolitical climate and economic uncertainties. In times of political instability or economic downturns, investors often turn to precious metals as a means of preserving wealth, which in turn spikes demand. For instance, during periods of inflation or currency devaluation, gold and silver are particularly sought after as they retain intrinsic value. Moreover, central banks around the world have been bolstering their gold reserves, a move that not only stabilizes their own currencies but also adds upward pressure on gold prices, thereby contributing to market growth.

Another notable driver of the precious metal market is the growing industrial demand, especially for metals like silver and platinum. Silver, with its excellent electrical conductivity, is widely used in electronics and solar panels. Meanwhile, platinum finds extensive applications in automotive catalytic converters. As industries adopt greener technologies and renewable energy solutions, the demand for these metals is expected to rise. Additionally, advancements in medical technology and the growing use of silver in antibacterial applications are further broadening the scope of industrial demand for precious metals.

The jewelry sector continues to be a substantial contributor to the precious metal market. Gold and silver jewelry remain highly valued across various cultures, symbolizing wealth and prestige. The rise in disposable income coupled with changing fashion trends in emerging economies is driving the demand for both traditional and contemporary jewelry design, thereby bolstering market growth. Moreover, the increasing influence of online platforms has made luxury jewelry more accessible to a broader audience, further enhancing market reach.

Silver Bullion plays a pivotal role in the investment landscape, offering a tangible asset that investors can physically hold. Unlike digital investments, silver bullion provides a sense of security and ownership that is often appealing during times of economic uncertainty. The demand for silver bullion is influenced by its affordability compared to gold, making it an attractive option for both new and seasoned investors. Additionally, silver bullion is not only a store of value but also a hedge against inflation, protecting purchasing power over time. As global markets fluctuate, the stability and reliability of silver bullion continue to draw interest from a diverse range of investors seeking to diversify their portfolios.

Regionally, Asia Pacific dominates the precious metal market, driven largely by high consumption in countries such as China and India. The cultural affinity towards gold in these regions, especially during festivals and weddings, underpins the demand. Europe and North America also represent significant markets, with a strong focus on investment and industrial applications. Meanwhile, emerging markets in Latin America and the Middle East & Africa are projected to exhibit a higher growth rate due to increasing industrialization and rising disposable incomes.

Type Analysis

The precious metal market is segmented into various types, including gold, silver, platinum, palladium, and others. Gold remains the most prominent segment, accounting for a substantial portion of the market share. Its allure as a hedge against inflation and economic instability makes it a favored choice among investors. Furthermore, gold's intrinsic value and historical significance continue to make it a preferred asset for central banks and institutional investors. The jewelry sector also heavily relies on gold, with countries like India and China leading the demand, driven by cultural and traditional practices.

Silver follows gold in terms of market significance, primarily due to its dual role as both an industrial and inv

These data were collected to evaluate the Partnership for Long-Term Care (PLTC), a project in which the Robert Wood Johnson Foundation awarded grants to four states -- California, Connecticut, Indiana, and New York -- to work with private insurers to create long-term care insurance policies that were more affordable and provided better protection against impoverishment than those generally available. PLTC policies combine private long-term care insurance with special Medicaid eligibility standards that protect assets of the insured once private insurance benefits are exhausted. This collection was extracted from a database compiled from data submitted by three of the PLTC states: California, Connecticut, and Indiana (New York refused participation). It comprises seven parts, which can be linked together using common identifying variables. Part 1, Insured, describes the characteristics of each issued policy and includes variables covering the effective policy date, policy type, elimination periods, maximum benefits, inflation protection mode, and annualized premium, as well as the year of birth, sex, marital status, and state of residence of the insured. Each insured person is represented by one or more records: one record for the initial PLTC policy, plus a separate record for each change to the policy, if any. Part 2, Changes, consists of policy change records used to update the policies in Part 1. Assessments for benefits are recorded in Part 3. This file includes variables on the assessment date, whether the insured met policy criteria at the time of the assessment, disability date, deficiencies in activities of daily living, and MSQ and Folstein test scores. Parts 4-6 describe service payments and utilization: reporting period (quarter), type of service received by the insured, service amount billed, days of service rendered, and amount of remaining benefits (dollars and days). Part 7 contains information on persons denied application to PLTC policies, including date of denial, type and amount of coverage sought, reason for denial, and the sex, year of birth, and marital status of the applicant.

The global commodity index funds market is experiencing robust growth, driven by increasing investor interest in diversifying portfolios and hedging against inflation. The market, estimated at $500 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 8% between 2025 and 2033, reaching approximately $1 trillion by 2033. This growth is fueled by several key factors. Firstly, rising inflation across global economies is prompting investors to seek assets that offer inflation protection, and commodities are often considered a suitable hedge. Secondly, the increasing complexity of global markets is leading investors to explore diversified investment strategies, with commodity index funds providing a convenient access point to a broad range of commodities. Thirdly, the growing adoption of Exchange Traded Funds (ETFs) and other index-tracking vehicles makes commodity investing more accessible and cost-effective for both individual and institutional investors. The market is segmented by fund type (precious metals, agricultural, base metals, energy, etc.) and application (personal finance, corporate investment, risk management), with significant regional variations in adoption. North America currently dominates the market due to the presence of major market players and sophisticated investor base, although Asia-Pacific is expected to witness considerable growth driven by increasing investment activity from emerging economies. Several factors could restrain market growth. Geopolitical instability, supply chain disruptions, and regulatory changes in the commodity markets can all create uncertainty and impact investor sentiment. Furthermore, the inherent volatility of commodity prices poses a risk for investors, particularly in times of economic downturn. Competition among leading asset management companies, such as BlackRock, Invesco, and iShares, is intense, driving innovation in product offerings and cost optimization. The future growth trajectory will depend heavily on global macroeconomic conditions, regulatory frameworks, and investor sentiment towards commodity-based investment vehicles. The continuous evolution of commodity index fund strategies, incorporating factors such as sustainability and ESG (Environmental, Social, and Governance) considerations, will also shape future market trends.

Japan Consumer Price Index (CPI): COICOP 2018: Contribution to Annual Inflation: Personal Care, Social Protection, Miscellaneous Goods & Services data was reported at 0.057 % Point in Mar 2025. This records a decrease from the previous number of 0.062 % Point for Feb 2025. Japan Consumer Price Index (CPI): COICOP 2018: Contribution to Annual Inflation: Personal Care, Social Protection, Miscellaneous Goods & Services data is updated monthly, averaging 0.062 % Point from Jan 2021 (Median) to Mar 2025, with 51 observations. The data reached an all-time high of 0.142 % Point in Aug 2023 and a record low of -0.014 % Point in Jan 2021. Japan Consumer Price Index (CPI): COICOP 2018: Contribution to Annual Inflation: Personal Care, Social Protection, Miscellaneous Goods & Services data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Japan – Table JP.OECD.MEI: Consumer Price Index: COICOP 2018: Contribution to Annual Inflation: OECD Member. The index measures monthly changes in the general level of prices of goods and services that households acquire for consumption. Type of prices: Normal retail prices or service charges for items actually sold in establishments on the survey date; excludes temporary bargain (within a week) prices, prices for installment sales, abnormal prices due to disasters, and prices of second-hand articles. Prices are transaction prices, excluding temporary reductions, special sales, etc. Method of collection:The monthly RPS is the main source of data on prices for the CPI. Its sample design is akin to that of the Survey of Family Income and Expenditure (FIES). Approximately 750 price collectors visit 30,000 outlets to collect prices of reselected representative items. There are 509 items and 719 item specifications Treatment of rentals for housing: The index includes a measure of rented housing. Treatment of Owner-Occupied Housing: Owner-occupied housing is incorporated in the index through the imputed rent approach. Treatment of missing prices: For temporarily unavailable, seasonal, perishable items, such as fresh fruit and fish, the overall weight is held fixed at the annual level. The missing prices are excluded from long-run price comparisons between the 2005 mean reference price and the price in the current period. There is an implied imputation for the price change of the missing items-one based on the long-run price change of existing items. Treatment of quality changes: Explicit quality adjustments are made, when applicable. The option cost method is applied to automobiles and hedonic indices are used for digital cameras and personal computers. Treatment of seasonal items: For fresh fish and shellfish, fresh vegetables and fresh fruits the monthly variable weights are used for compiling the index. For seasonal goods excluidng fresh foods, the average prices of the month when the survey is conducted are substituted for the prices of the month when the survey is not conducted.

In 2022, 70 percent of surveyed Private Wealth Management Association members in Hong Kong stated that their investment focus was on protecting portfolio value against inflation. Other objectives included seizing opportunities in a recessionary environment and geographic diversification.

Diverse service offerings and strategic consolidation efforts drive revenue growth. Various products cater to different age demographics, with younger buyers under 55 often securing policies early to lock in lower premiums and those between 55 and 65 contributing significantly because of optimal pricing. While adults over 65 have shown growth, high premiums and elevated risks limit their contribution. Through mergers, companies can pool resources, streamline administration and offer competitive premiums, reinforcing market concentration despite the competition from government substitutes like Medicaid. Industry revenue has been growing at a CAGR of 2.4% to a total of $25.6 billion in 2025 when revenue will jump by an estimated 4.0% in 2025 alone. Healthcare costs and consumer awareness are critical for sustaining growth, especially amid increased competition from substitute programs. Rising medical and facility care expenses lead insurers to adjust premiums to maintain revenue, potentially decreasing market demand. As wages for healthcare professionals climb, insurers are challenged to balance affordability with coverage options, mindful of claim denial rates and costs of appeals. Consumer education on the variety of policies available and the pricing implications is essential, as misunderstandings can deter purchases. By enhancing transparency and educating consumers about preventative care's significance, insurers can foster a committed customer base, thereby boosting long-term demand. Technological advancements and diverse policy offerings will drive demand and reduce costs, supporting profit. Larger insurers leverage their size to provide varied products, from hybrid plans to specialized coverage, appealing to consumer preferences. Medical and technological progress, such as AI-driven data analytics, promotes lower health payouts, better risk assessment and pricing precision. Also, advancements in preventive care and wellness programs can mitigate the need for expensive long-term care, reducing claim frequency and cost-balancing the increased duration of claims. These innovations, in concert, enable insurers to maintain competitive pricing, extend market reach and enhance profitability by attracting a broader customer base while managing changes in healthcare costs. Looking forward, industry revenue will climb at a CAGR of 3.1% through 2030 to total $29.8 billion, with profit to climb marginally during the outlook period.

Securities Issued in TreasuryDirect: Sales by Term provides the count and dollar value of marketable securities and savings bonds issued in TreasuryDirect by term. Securities are available by security class: bills, notes, bonds, and Treasury Inflation-Protected Securities (TIPS) for marketable securities and Series EE and I for savings bonds.