This dataset is about stocks per day and is filtered where the stock is ACT.DE and the date is after 2024-09-15, featuring 3 columns: date, highest price, and stock. The preview is ordered by date (descending).

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

The aim of this investigation is, to describe the development of the German Stock Market during the inter-war period. Causes for the so called change of the stock exchange functions are analysed. The author wants to make a contribution on special aspects of the economic history of the Weimar Republic and the following NS-regime. In his investigation the researcher analyses the activities of the involved players in a historical-institutional framework. The Study’s subjectIn the year 1890 the constitution of security exchange markets and stock markets has been the object of political debate and there has been discussed similar questions according to this topic in public and in policy as today. A current question is about the possibilities to boost the functionality of the security exchange and stock markets, not least in the face of Germany’s position in the global economy. In 1896 as a result of massive political conflicts a stock exchange act has arisen that disappointed the representatives of liberal trading interests because of the restriction of the stock market system’s autonomy and the prohibition of certain forms of trade. In 1908 an amendment to the stock exchange act has been adopted by the parliament. The stock market act in this new form has had validity until today. After the years of the hyperinflation deep changes of the stock market processes has been taken place. This changes can be described as a change of function. The economic-historical study at hand deals with the description of the development of the German security exchange markets during the interwar period. Reasons of the functional changes, which means mainly the decrease in importance, are analysed. In this context the primary investigator’s analysis contributes also to specific aspects of the economic history of the Weimar Republic and the Nazi empire. Due to a lack of date the needed statistical information concerning the period of interest is not available and therefore a statistical analysis cannot meet cliometric requirements. Therefore, the study’s concept is primary a desciptive one. On the basis of the quantitative information an identification of the functional change and the definition of stages of this process is made. The researcher tries to carve out the factors which have led to the functional change particularly during the period between 1924 and 1939. In this context the annual reports of banks, reports of the Chamber of Commerce and Industry, contributions of professional journals, and documents of authorities charged with the stock exchange market, are the empirical basis for the investigation. The researcher analyzed the effects of the banking sector’s concentration-process on the stock exchange market and assessed quantitatively the functional change. On the basis of the collected time series for the period of the late 19th century until 1939 the investigator analyzed the activities at the stock markets. First, the focus on interest is on the development of investments and securities issues. Then information on the securities turnover of German capital market before 1940 are given on the basis of an estimation procedure, developed by the researcher. The sepcial conditions during the inflation between 1914 and 1923 are discussed separately and the long term effects of this hyper-inflation on the stock exchange are identified. The effects of the taxation of stock exchange market visits and the high transaction costs are discussed, too. Used sources for the investigation have been:Archives of German Public Authorities:- finance ministry of the German Reich,- imperial chancellery- Reich´s ministry of economics- reference files of the German Reichsbank- Imperial commissioner of the stock market in Berlin Official Statistics, statistics of trade associations, chambers of commerce, enterprises, the press, and scientific publications. Finally, the author made estimates and calculations. The Study’s data:Data tables are accessible via the search- and download-system HISTAT unter the Topic ‘State: Finances and Taxes’ (= Staat: Finanzen und Steuern). The Study’s data are diveded into the following parts: A. Quantitative Indicators on the Change of Functions (Quantitative Indikatoren des Funktionswandels) A.1 Structure of floatation (Struktur der Wertpapieremission ausgewählter Zeitspannen (1901-1939).)A.2 Tax revenues of exchange turnover (Börsenumsatzsteueraufkommen (1885-1939).)A.3 Vergleich des unkorrigierten mit einem fiktiv möglichen Börsenumsatzsteueraufkommen (1906-1913).A.4 Estimation of everage tax rates (Geschätzte Durchschnittssteuersätze (1884-1913).)A.5 Amount of stock companies of the German Empire (Zahl der Aktiengesellschaften im Deutschen Reich zu bestimmten Jahren (1886-1939).)A.6 Shares listed on the Berlin stock exchange at the end of the year (Die zum Jahresende an der Berliner Börse notierten Aktien (1926-1939).)A.7 Reports und Lombards der Berliner Großbanken in ...

Intel's shares experience a significant increase due to potential partnership with TSMC and favorable U.S. government policies under the Chips Act.

Explore how Plug Power's stock surged with new tax credits for clean hydrogen, highlighting economic gains and market optimism.

United States PF: HC: AR: Performing Arts, Spectator Sports, Museums & Related Act data was reported at 174.200 USD bn in 2021. This records an increase from the previous number of 167.800 USD bn for 2020. United States PF: HC: AR: Performing Arts, Spectator Sports, Museums & Related Act data is updated yearly, averaging 17.500 USD bn from Dec 1947 (Median) to 2021, with 75 observations. The data reached an all-time high of 174.200 USD bn in 2021 and a record low of 1.500 USD bn in 1948. United States PF: HC: AR: Performing Arts, Spectator Sports, Museums & Related Act data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s United States – Table US.A232: NIPA 2018: Net Stock of Private Fixed Assets: by Industry: Historical Cost.

QMA boundaries were created as noted in the “Fisheries (E-logbook Users Instructions and Codes) Circular 2018” (Schedule 2, Part 1A).Legal definitions of the boundaries of the Fisheries Management Areas (FMAs) and some individual stocks are contained within the first schedule of the Fisheries Act, 1996. Remaining stock definitions were sourced from notices of Declaration of New Stocks Subject to Quota Management System.Legal definition of the FMA boundaries is dependent on a legally authoritative layers depicting the EEZ boundary and mean high water mark. EEZ and Topo50 Coastline datasets sourced from LINZ and released under CC-BY 4.0 were used in the creation of this dataset.All inland boundaries within this dataset have been approximated and do not reflect the intention of the Act as stated in Note 3 of Schedule 1 (all inland waters are considered a part of the FMA into which they flow directly). Most areas created from notices of Declaration of New Stocks Subject to Quota Management System state the landward boundaries follow the mean high-water springs which is not reflected in this dataset.

QMA boundaries were created as noted in the “Fisheries (E-logbook Users Instructions and Codes) Circular 2018” (Schedule 2, Part 1A).Legal definitions of the boundaries of the Fisheries Management Areas (FMAs) and some individual stocks are contained within the first schedule of the Fisheries Act, 1996. Remaining stock definitions were sourced from notices of Declaration of New Stocks Subject to Quota Management System.Legal definition of the FMA boundaries is dependent on a legally authoritative layers depicting the EEZ boundary and mean high water mark. EEZ and Topo50 Coastline datasets sourced from LINZ and released under CC-BY 4.0 were used in the creation of this dataset.All inland boundaries within this dataset have been approximated and do not reflect the intention of the Act as stated in Note 3 of Schedule 1 (all inland waters are considered a part of the FMA into which they flow directly). Most areas created from notices of Declaration of New Stocks Subject to Quota Management System state the landward boundaries follow the mean high-water springs which is not reflected in this dataset.

QMA boundaries were created as noted in the “Fisheries (E-logbook Users Instructions and Codes) Circular 2018” (Schedule 2, Part 1A).Legal definitions of the boundaries of the Fisheries Management Areas (FMAs) and some individual stocks are contained within the first schedule of the Fisheries Act, 1996. Remaining stock definitions were sourced from notices of Declaration of New Stocks Subject to Quota Management System.Legal definition of the FMA boundaries is dependent on a legally authoritative layers depicting the EEZ boundary and mean high water mark. EEZ and Topo50 Coastline datasets sourced from LINZ and released under CC-BY 4.0 were used in the creation of this dataset.All inland boundaries within this dataset have been approximated and do not reflect the intention of the Act as stated in Note 3 of Schedule 1 (all inland waters are considered a part of the FMA into which they flow directly). Most areas created from notices of Declaration of New Stocks Subject to Quota Management System state the landward boundaries follow the mean high-water springs which is not reflected in this dataset.

The defined areas of the Quota Management Areas are based on the FMA boundary definitions (first schedule of the Fisheries Act, 1996), and are either a combination of FMA’s or correspond directly to an FMA. Legal definitions of the boundaries of the Fisheries Management Areas (FMAs) and some individual stocks are contained within the first schedule of the Fisheries Act, 1996. Remaining stock definitions were sourced from notices of Declaration of New Stocks Subject to Quota Management System.

QMA boundaries were created as noted in the “Fisheries (E-logbook Users Instructions and Codes) Circular 2018” (Schedule 2, Part 1A).QMA’s are species specific and are created using different combinations of Fisheries Management areas, or in some cases specific boundaries described in legislated declarations of new stocks into the QMS.

This layer has been created from a direct copy of the general FMA’s layer, with the appropriate FMA’s combined together. Legal definition of the FMA boundaries is dependent on a legally authoritative layers depicting the EEZ boundary and mean high water mark. EEZ and Topo50 Coastline datasets sourced from LINZ and released under CC-BY 4.0 were used in the creation of this dataset.

All inland boundaries within this dataset have been approximated and do not reflect the intention of the Act as stated in Note 3 of Schedule 1 (all inland waters are considered a part of the FMA into which they flow directly). Most areas created from notices of Declaration of New Stocks Subject to Quota Management System state the landward boundaries follow the mean high-water springs which is not reflected in this dataset.

This data has been supplied in WSG84 Mercator 41 projection. The data was last updated as of 1 October 2019.

XML metadata for this data can be downloaded from here, right click and 'save as'.

QMA boundaries were created as noted in the “Fisheries (E-logbook Users Instructions and Codes) Circular 2018” (Schedule 2, Part 1A).Legal definitions of the boundaries of the Fisheries Management Areas (FMAs) and some individual stocks are contained within the first schedule of the Fisheries Act, 1996. Remaining stock definitions were sourced from notices of Declaration of New Stocks Subject to Quota Management System.Legal definition of the FMA boundaries is dependent on a legally authoritative layers depicting the EEZ boundary and mean high water mark. EEZ and Topo50 Coastline datasets sourced from LINZ and released under CC-BY 4.0 were used in the creation of this dataset.All inland boundaries within this dataset have been approximated and do not reflect the intention of the Act as stated in Note 3 of Schedule 1 (all inland waters are considered a part of the FMA into which they flow directly). Most areas created from notices of Declaration of New Stocks Subject to Quota Management System state the landward boundaries follow the mean high-water springs which is not reflected in this dataset.

QMA boundaries were created as noted in the “Fisheries (E-logbook Users Instructions and Codes) Circular 2018” (Schedule 2, Part 1A).Legal definitions of the boundaries of the Fisheries Management Areas (FMAs) and some individual stocks are contained within the first schedule of the Fisheries Act, 1996. Remaining stock definitions were sourced from notices of Declaration of New Stocks Subject to Quota Management System.Legal definition of the FMA boundaries is dependent on a legally authoritative layers depicting the EEZ boundary and mean high water mark. EEZ and Topo50 Coastline datasets sourced from LINZ and released under CC-BY 4.0 were used in the creation of this dataset.All inland boundaries within this dataset have been approximated and do not reflect the intention of the Act as stated in Note 3 of Schedule 1 (all inland waters are considered a part of the FMA into which they flow directly). Most areas created from notices of Declaration of New Stocks Subject to Quota Management System state the landward boundaries follow the mean high-water springs which is not reflected in this dataset.

United States PF: CC: AR: Performing Arts, Spectator Sports, Museums & Related Act data was reported at 250.700 USD bn in 2021. This records an increase from the previous number of 227.100 USD bn for 2020. United States PF: CC: AR: Performing Arts, Spectator Sports, Museums & Related Act data is updated yearly, averaging 29.100 USD bn from Dec 1947 (Median) to 2021, with 75 observations. The data reached an all-time high of 250.700 USD bn in 2021 and a record low of 2.600 USD bn in 1949. United States PF: CC: AR: Performing Arts, Spectator Sports, Museums & Related Act data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s United States – Table US.A231: NIPA 2018: Net Stock of Private Fixed Assets: by Industry: Current Cost.

This measure tracks the number of protected species stocks for which adequate assessments are available. Assessments are vital to determine the scientific basis for supporting and evaluating the impact of management actions. To be deemed adequate, assessments must be based on recent quantitative or qualitative analysis sufficient to determine current stock status based on a variety of data category levels (e.g., life history, threats, stock structure, assessment quality, assessment frequency, and abundance), and conservation status. Stock status projections are highly dependent on survey frequencies, assessment time frames, and fiscal constraints. This measure covers the protected species stocks covered by the Marine Mammal Protection Act (MMPA) or listed under the Endangered Species Act (ESA). The number of such stocks continues to increase as new species are listed and as new stocks of listed species and marine mammals are identified— the latter typically indicates increased knowledge about population stock structure.

QMA boundaries were created as noted in the “Fisheries (E-logbook Users Instructions and Codes) Circular 2018” (Schedule 2, Part 1A).Legal definitions of the boundaries of the Fisheries Management Areas (FMAs) and some individual stocks are contained within the first schedule of the Fisheries Act, 1996. Remaining stock definitions were sourced from notices of Declaration of New Stocks Subject to Quota Management System.Legal definition of the FMA boundaries is dependent on a legally authoritative layers depicting the EEZ boundary and mean high water mark. EEZ and Topo50 Coastline datasets sourced from LINZ and released under CC-BY 4.0 were used in the creation of this dataset.All inland boundaries within this dataset have been approximated and do not reflect the intention of the Act as stated in Note 3 of Schedule 1 (all inland waters are considered a part of the FMA into which they flow directly). Most areas created from notices of Declaration of New Stocks Subject to Quota Management System state the landward boundaries follow the mean high-water springs which is not reflected in this dataset.

QMA boundaries were created as noted in the “Fisheries (E-logbook Users Instructions and Codes) Circular 2018” (Schedule 2, Part 1A).Legal definitions of the boundaries of the Fisheries Management Areas (FMAs) and some individual stocks are contained within the first schedule of the Fisheries Act, 1996. Remaining stock definitions were sourced from notices of Declaration of New Stocks Subject to Quota Management System.Legal definition of the FMA boundaries is dependent on a legally authoritative layers depicting the EEZ boundary and mean high water mark. EEZ and Topo50 Coastline datasets sourced from LINZ and released under CC-BY 4.0 were used in the creation of this dataset.All inland boundaries within this dataset have been approximated and do not reflect the intention of the Act as stated in Note 3 of Schedule 1 (all inland waters are considered a part of the FMA into which they flow directly). Most areas created from notices of Declaration of New Stocks Subject to Quota Management System state the landward boundaries follow the mean high-water springs which is not reflected in this dataset.

QMA boundaries were created as noted in the “Fisheries (E-logbook Users Instructions and Codes) Circular 2018” (Schedule 2, Part 1A).Legal definitions of the boundaries of the Fisheries Management Areas (FMAs) and some individual stocks are contained within the first schedule of the Fisheries Act, 1996. Remaining stock definitions were sourced from notices of Declaration of New Stocks Subject to Quota Management System.Legal definition of the FMA boundaries is dependent on a legally authoritative layers depicting the EEZ boundary and mean high water mark. EEZ and Topo50 Coastline datasets sourced from LINZ and released under CC-BY 4.0 were used in the creation of this dataset.All inland boundaries within this dataset have been approximated and do not reflect the intention of the Act as stated in Note 3 of Schedule 1 (all inland waters are considered a part of the FMA into which they flow directly). Most areas created from notices of Declaration of New Stocks Subject to Quota Management System state the landward boundaries follow the mean high-water springs which is not reflected in this dataset.

CB：信贷：PN：CO：TA：CM：FI：Stock Exchange & Finl Invest Act在02-01-2019达93.400百万墨西哥比索，相较于01-01-2019的94.200百万墨西哥比索有所下降。CB：信贷：PN：CO：TA：CM：FI：Stock Exchange & Finl Invest Act数据按月更新，12-01-2003至02-01-2019期间平均值为650.000百万墨西哥比索，共183份观测结果。该数据的历史最高值出现于10-01-2010，达2,942.200百万墨西哥比索，而历史最低值则出现于04-01-2013，为27.300百万墨西哥比索。CEIC提供的CB：信贷：PN：CO：TA：CM：FI：Stock Exchange & Finl Invest Act数据处于定期更新的状态，数据来源于Banco de México，数据归类于全球数据库的墨西哥 – Table MX.KA016：信贷组合：商业银行：by Borrowers Activity：2018年方法。

QMA boundaries were created as noted in the “Fisheries (E-logbook Users Instructions and Codes) Circular 2018” (Schedule 2, Part 1A).Legal definitions of the boundaries of the Fisheries Management Areas (FMAs) and some individual stocks are contained within the first schedule of the Fisheries Act, 1996. Remaining stock definitions were sourced from notices of Declaration of New Stocks Subject to Quota Management System.Legal definition of the FMA boundaries is dependent on a legally authoritative layers depicting the EEZ boundary and mean high water mark. EEZ and Topo50 Coastline datasets sourced from LINZ and released under CC-BY 4.0 were used in the creation of this dataset.All inland boundaries within this dataset have been approximated and do not reflect the intention of the Act as stated in Note 3 of Schedule 1 (all inland waters are considered a part of the FMA into which they flow directly). Most areas created from notices of Declaration of New Stocks Subject to Quota Management System state the landward boundaries follow the mean high-water springs which is not reflected in this dataset.

QMA boundaries were created as noted in the “Fisheries (E-logbook Users Instructions and Codes) Circular 2018” (Schedule 2, Part 1A).Legal definitions of the boundaries of the Fisheries Management Areas (FMAs) and some individual stocks are contained within the first schedule of the Fisheries Act, 1996. Remaining stock definitions were sourced from notices of Declaration of New Stocks Subject to Quota Management System.Legal definition of the FMA boundaries is dependent on a legally authoritative layers depicting the EEZ boundary and mean high water mark. EEZ and Topo50 Coastline datasets sourced from LINZ and released under CC-BY 4.0 were used in the creation of this dataset.All inland boundaries within this dataset have been approximated and do not reflect the intention of the Act as stated in Note 3 of Schedule 1 (all inland waters are considered a part of the FMA into which they flow directly). Most areas created from notices of Declaration of New Stocks Subject to Quota Management System state the landward boundaries follow the mean high-water springs which is not reflected in this dataset.