The Office of Policy and Management (OPM) prepares the Public Investment Community (PIC) index not later than July 15 annually, pursuant to §7-545 of the Connecticut General Statutes (CGS). The PIC index measures the relative wealth and need of Connecticut’s towns by ranking them in descending order by their cumulative point allocations for: (1) per capita income; (2) adjusted equalized net grand list per capita; (3) equalized mill rate; (4) per capita aid to children receiving Temporary Family Assistance program benefits; and (5) unemployment rate. Pursuant to CGS §7-545 the PIC index includes each town that has a cumulative point ranking in the top quartile of the PIC Index (i.e. the 42 towns with the highest number of points). When a town’s ranking falls below the top quartile in a given fiscal year, the town's designation as a Public Investment Community continues for that year and the following four fiscal years. As a result, the PIC index includes certain towns carried over from previous fiscal years (indicated in the data as "grandfathered"). The PIC index determines eligibility for several financial assistance programs that various agencies administer, including: -Urban Action Bond Assistance -Small Town Economic Assistance Program -Community Economic Development Program -Residential Mortgage Guarantee Program -Education Cost Sharing -Malpractice Insurance Purchase Program -Connecticut Manufacturing Innovation Fund -Enterprise Corridor Zone Designation Most of the towns included on the PIC index are eligible to elect for assistance under the Small Town Economic Assistance Program (STEAP) in lieu of Urban Action Bond assistance, pursuant to CGS §4-66g(b). An eligible town’s legislative body (or its board of selectmen if the town’s legislative body is the town meeting) must vote to choose STEAP assistance and the town must notify OPM following the vote. STEAP election is valid for four years and the statute allows extensions for additional four-year periods.

Investment banking services price index (IBSPI) measures the change in price of investment banking services. Annual data are available from 2010. The table presents data for the most recent reference period and the last four periods. Data is available in a Fisher, Laspeyres or Paasche index. The base period for the index is 2017=100.

Graph and download economic data for Gross government fixed investment: State and local (chain-type price index) (B799RG3A086NBEA) from 1929 to 2024 about state & local, chained, fixed, investment, gross, government, GDP, price index, indexes, price, and USA.

The Investment Facilitation Index (IFI) provides information on the current adoption of investment facilitation measures at country level for 142 World Trade Organisation (WTO) Members. It was developed by the German Institute of Development and Sustainability (IDOS), previously known as the Deutsches Institut für Entwicklungspolitik / German Development Institute (DIE), in cooperation with the WTO. The IFI is a composite index measuring the adoption of investment facilitation measures in 2021 and applying a multiple binary scoring scheme. Departing from an earlier version of the index (Berger et al., 2021), it has been conceptually revised and extended regarding its country coverage. It now consists of 101 measures composing six regulatory dimensions and corresponds closely to the main policy areas and developments within current policy debates, including the newly negotiated Investment Facilitation for Development (IFD) Agreement among the WTO Members.

The data set provides the foundation for analysing specific facilitation hurdles in investment frameworks of a large number of economies. The fine grained data of the IFI can be used for investigating economic benefits and challenges of investment facilitation reforms, support the assessment of implementation gaps, as well as prioritisation of technical assistance and capacity development. It can also be used by investors seeking information on a country’s investment regime.

For a detailed description of the methodology and coding of the IFI, please have a look at the uploaded data documentation, contained in the file ifi_documentation.pdf. It provides information on the conceptual composition of the index, its evolution from the first version, as well as the coding, data generation and validation processes. In the annex, it also features a detailed overview of each measure contained in the index.

The file ifi_codebook.csv contains the codebook for the 101 investment facilitation measures included in the IFI. The file features six variables (columns):

• Measure: The code of a measure under observation;
• Area: Specification of the policy area a given measure belongs to;
• Measure_Description: A short description of what investment facilitation feature is evaluated by a given measure;
• Weight: Specification of the individual weight of a measure, the product of the allocated score (0, 1 or 2) and this weight denotes the contribution to the total score of a given measure;
• Unit: The measurement unit for the answer of a given measure, it can take values "Score", meaning that the answer is directly measured by score from the multiple binary scoring scheme, or specify another measurement unit, e.g. number of documents, days, US Dollars, etc.;
• Coding_0: Specifies the answer coding which allocates a score of 0 to this measure;
• Coding_1: Specifies the answer coding which allocates a score of 1 to this measure;
• Coding_2: Specifies the answer coding which allocates a score of 2 to this measure.

The file ifi_table.csv or ifi_table.xlsx (please choose your preferred file format) contains all 14484 data points resulting from the 101 measures coded for 142 economies. Moreover, it also contains the total score for each country calculated by applying the expert weighting scheme. The file contains the following variables (columns):

• CountryCode: ISO-alpha3 code of a country for which a given measure is coded;
• Country: Name of a country for which a given measure is coded;
• Measure: Code of a measure that is coded in a given row;
• Area: Specification of the policy area a given measure belongs to;
• Measure_Description: A short description of what investment facilitation feature is evaluated by a given measure;
• Answer: The answer coded for a given measure and country;
• Score: The allocated score based on the answer, according to the definition of the measure (see codebook);
• Unit: The measurement unit for the answer of a given measure;
• Coding: The answer option coded for a given measure and country (corresponds to either Coding_0, Coding_1 or Coding_2 in the codebook);
• Source: Source statement for the provided answer.

For further inquiries please contact the authors.

Over the observed period, the price index of investment in Hungary reached ***** percentage points in 2023. The lowest figure was recorded in 2013 at ***** points.

Our indices for Private Equity (PE) Buyouts evaluate the performance of the US private equity buyout market by incorporating a mix of liquid, publicly traded assets. These publicly traded assets are distributed among seven sector portfolios, each reflecting a distinct sector where US PE buyout firms invest. The series includes the PE Buyout Research Index, a detailed and highly representative benchmark of the US PE buyout market, as well as the PE Buyout Index, an innovative, investable index that tracks the performance of our PE Buyout Research Index using liquid public securities.

View market daily updates and historical trends for Wilshire US Real Estate Investment Trust Total Market Index (DISCONTINUED). from United States. Source…

Thailand (DC)Private Investment Index data was reported at 105.100 Unit in Feb 2000. This records an increase from the previous number of 84.500 Unit for Jan 2000. Thailand (DC)Private Investment Index data is updated monthly, averaging 105.000 Unit from Jan 1980 (Median) to Feb 2000, with 242 observations. The data reached an all-time high of 180.300 Unit in Oct 1988 and a record low of 5.700 Unit in Dec 1998. Thailand (DC)Private Investment Index data remains active status in CEIC and is reported by Bank of Thailand. The data is categorized under Global Database’s Thailand – Table TH.O001: Private Investment Index and Indicators.

Fixed Asset Investment Price Index: Hunan data was reported at 101.731 Prev Year=100 in 2019. This records a decrease from the previous number of 104.770 Prev Year=100 for 2018. Fixed Asset Investment Price Index: Hunan data is updated yearly, averaging 103.100 Prev Year=100 from Dec 1991 (Median) to 2019, with 29 observations. The data reached an all-time high of 129.500 Prev Year=100 in 1993 and a record low of 99.710 Prev Year=100 in 2009. Fixed Asset Investment Price Index: Hunan data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under Global Database’s China – Table CN.IF: Fixed Asset Investment Price Index: Overall.

Investment banking services price index (IBSPI). Annual data are available from 2010. The table presents data for the most recent reference period and the last four periods. The base period for the index is (2010=100).

Graph and download economic data for Real gross private domestic investment: Fixed investment: Nonresidential (chain-type quantity index) (A008RA3Q086SBEA) from Q1 1947 to Q2 2025 about quantity index, nonresidential, chained, fixed, investment, gross, domestic, private, real, GDP, and USA.

Iran Index: TSE: Financial Intermediation: Investment Companies data was reported at 3,123.500 21Mar1998=100 in Nov 2018. This records an increase from the previous number of 3,110.100 21Mar1998=100 for Oct 2018. Iran Index: TSE: Financial Intermediation: Investment Companies data is updated monthly, averaging 601.900 21Mar1998=100 from Jan 2005 (Median) to Nov 2018, with 165 observations. The data reached an all-time high of 3,806.600 21Mar1998=100 in Sep 2018 and a record low of 0.000 21Mar1998=100 in Jul 2007. Iran Index: TSE: Financial Intermediation: Investment Companies data remains active status in CEIC and is reported by Tehran Stock Exchange. The data is categorized under Global Database’s Iran – Table IR.Z001: Tehran Stock Exchange: Index.

Global Investment Goods Producer Price Index by Country, 2022 Discover more data with ReportLinker!

Fixed Asset Investment Price Index: Fujian data was reported at 101.526 Prev Year=100 in 2019. This records a decrease from the previous number of 104.860 Prev Year=100 for 2018. Fixed Asset Investment Price Index: Fujian data is updated yearly, averaging 101.526 Prev Year=100 from Dec 1991 (Median) to 2019, with 29 observations. The data reached an all-time high of 134.100 Prev Year=100 in 1993 and a record low of 98.000 Prev Year=100 in 2009. Fixed Asset Investment Price Index: Fujian data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under Global Database’s China – Table CN.IF: Fixed Asset Investment Price Index: Overall.

Fixed Asset Investment Price Index: Liaoning data was reported at 103.098 Prev Year=100 in 2019. This records a decrease from the previous number of 103.470 Prev Year=100 for 2018. Fixed Asset Investment Price Index: Liaoning data is updated yearly, averaging 102.500 Prev Year=100 from Dec 1991 (Median) to 2019, with 29 observations. The data reached an all-time high of 136.400 Prev Year=100 in 1993 and a record low of 96.950 Prev Year=100 in 2009. Fixed Asset Investment Price Index: Liaoning data remains active status in CEIC and is reported by National Bureau of Statistics. The data is categorized under Global Database’s China – Table CN.IF: Fixed Asset Investment Price Index: Overall.

Are hedge funds worth your money?

Hedge funds have developed from investment funds that were designed to lower the risk of your portfolio to a multitude of different investment styles with different goals. Their heyday was probably during the 90s and early 2000s when several star hedge fund managers rose to prominence and their assets under management grew significantly. However, since then hedge funds have been under scrutiny as their investment returns have been lacking and their ability to function as a diversification to a traditional stock and bond portfolio was put into question. As hedge funds have their own set of leverage and investment rules it is no wonder they have been accused of being greedy, unsuccessful and secretive. However, with this dataset you can make your own analysis.

Content

This dataset covers monthly hedge fund returns starting from 1997. The date column refers to the last day of the month - the end date of the return period, if I understand correctly. There are 12 different hedge fund strategies covered and the return index series are formed as an aggregate of other hedge fund index providers.

The strategy explanations are in EDHEC website:

• Convertible Arbitrage - https://risk.edhec.edu/conv-arb/
• CTA Global - https://risk.edhec.edu/cta-global/
• Distressed Securities - https://risk.edhec.edu/dist-sec/
• Emerging Markets - https://risk.edhec.edu/emg-mkts/
• Equity Market Neutral - https://risk.edhec.edu/equity-market-neutral/
• Event Driven - https://risk.edhec.edu/event-driven/
• Fixed Income Arbitrage - https://risk.edhec.edu/fix-inc-arb/
• Global Macro - https://risk.edhec.edu/global-macro/
• Long/Short Equity - https://risk.edhec.edu/ls-equity/
• Merger Arbitrage - https://risk.edhec.edu/merger-arb/
• Relative Value - https://risk.edhec.edu/relative-value/
• Short Selling - https://risk.edhec.edu/short-selling/
• Funds of Funds - https://risk.edhec.edu/fof/

Acknowledgements

All credit for the maintenance and upload of the data goes to EDHEC. You should check their website for additional resources:

https://risk.edhec.edu/all-downloads-hedge-funds-indices

Inspiration

The EDHEC hedge fund data is the data used in examples/vignettes of PortfolioAnalytics - a package for optimizing, testing and analyzing portfolio returns. You should be easily able to expand the analysis from the vignettes just by using the larger dataset available here:

https://cran.r-project.org/web/packages/PortfolioAnalytics/index.html

In December 2024, the monthly total return index of properties owned by core real estate funds in Japan stood at ******** points. The total index return is based on weighted average income returns and capital returns.

United States - Gross Private Domestic Investment (chain-type price index) was 0.60000 % Chg. from Preceding Period in April of 2025, according to the United States Federal Reserve. Historically, United States - Gross Private Domestic Investment (chain-type price index) reached a record high of 16.60000 in July of 1974 and a record low of -6.10000 in April of 2009. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Gross Private Domestic Investment (chain-type price index) - last updated from the United States Federal Reserve on November of 2025.

United States - Private fixed investment, chained price index: Private fixed investment in information processing equipment and software was 93.45500 Index 2009=100 in January of 2024, according to the United States Federal Reserve. Historically, United States - Private fixed investment, chained price index: Private fixed investment in information processing equipment and software reached a record high of 449.68400 in January of 1959 and a record low of 83.19300 in January of 2021. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Private fixed investment, chained price index: Private fixed investment in information processing equipment and software - last updated from the United States Federal Reserve on November of 2025.

United States - Real private fixed investment, chained quantity index: Nonresidential: Intellectual property products: Software was 219.71100 Index 2009=100 in April of 2025, according to the United States Federal Reserve. Historically, United States - Real private fixed investment, chained quantity index: Nonresidential: Intellectual property products: Software reached a record high of 219.71100 in April of 2025 and a record low of 0.00100 in April of 1959. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Real private fixed investment, chained quantity index: Nonresidential: Intellectual property products: Software - last updated from the United States Federal Reserve on November of 2025.