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7 results for “stock exchanges”
Collection of German Stock Exchange Rules
<p><span>The STOCK EXCHANGE RULES collection contains rules and regulations from German securities exchanges starting in 1879, but with no claim to completeness. It builds on an initial collection by Andreas Fleckner (Humboldt-Universität zu Berlin) who kindly agreed to contribute it. The authors approached exchanges as well as some of the exchange supervisory authorities (‘Börsenaufsichtsbehörden’) and economic archives (‘Wirtschaftsarchive’) in the German states (‘Länder’). In some instances, the respective institutions were visited and documents were collected on site. Other rules and regulations were obtained from the law journal ‘Wertpapier-Mitteilungen’ by sifting through the tables of contents of the yearly volumes from 1985 to 2000 and from websites, notably the Internet Archive’s Wayback Machine. </span></p>
Data for "STOCK EXCHANGE LISTING INDUCES SOPHISTICATION OF CAPITAL BUDGETING"
<p>This data support the following research: This article compares capital budgeting techniques employed in listed and unlisted companies in Brazil. We surveyed the Chief Financial Officers (CFOs) of 398 listed companies and 300 large unlisted companies, and based on 91 respondents, the results suggest that the CFOs of listed companies tend to use less simplistic methods more often, for example: NPV and CAPM, and that CFOs of unlisted companies are less likely to estimate the cost of equity, despite being large companies. These findings indicate that stock exchange listing may require greater sophistication of the capital budgeting process.</p>
THE EFFECT OF CURRENT RATIO, RETURN ON EQUITY, AND DEBT TO EQUITY RATIO ON STOCK RETURNS ON THE INDONESIA STOCK EXCHANGE
<p>This research examined the effect of the Current Ratio, Return on Equity, and Debt to Equity Ratio on Stock Returns in Kompas 100 Companies Listed on the Indonesia Stock Exchange in the 2015-2019 period. The sampling technique used in this study was purposive sampling. The samples obtained were 30 companies from 100 companies. The type of data used in this research is secondary data, and the method of analysis uses multiple linear regression analysis. Based on the data analysis done, the variable Return on Equity has a positive and significant effect on stock returns. The Current Ratio has a negative and insignificant effect on stock returns, and the Debt to Equity Ratio has a negative and insignificant effect on stock returns. The current ratio, return on equity, and debt to equity ratio simultaneously does not affect stock returns.</p>
Forest net biome exchange and carbon stock projections by the regions of mainland Finland
<p>Forest net biome exchange and carbon stock projections with uncertainty by regions of the mainland Finland over period 2015-2050. Projections under three climate scenarios, RCP2.6, RCP4.5, and RCP8.5, and four harvest scenarios - BaseHarv (historical average harvest level of the years 2015-2021), slightly more intensive harvests MaxHarv (1.2 x BaseHarv), lower harvest intensity LowHarv (0.6 x BaseHarv) and no harvests after the year 2021 NoHarv - for each administrative region (NUTS3), and as aggregated from all the regions to the whole country, are given. The files contain mean value and 2.5%, 5%, 25%, 75%, 95% and 97.5% quantiles of the average Net Biome emissions (file <em>NBEave.xlsx</em>) and total carbon stock (file <em>Cstockave.xlsx</em>). The forest areas (forest land and poorly productive forest land, excluding undrained peatlands), and areas of mineral soils and drained organic soils for each region and the whole mainland of Finland are given in file <em>areas.xlsx</em>.</p> <p>Description of the used data and methods are given in article:<br> Junttila, V., Minunno, F., Peltoniemi, M. <em>et al.</em> Quantification of forest carbon flux and stock uncertainties under climate change and their use in regionally explicit decision making: Case study in Finland. <em>Ambio</em> (2023). <a href="https://doi.org/10.1007/s13280-023-01906-4">https://doi.org/10.1007/s13280-023-01906-4</a></p>
Behavioral aspects of asset value by industry indices of the Moscow Stock Exchange
<p>Behavioral aspects of asset value by industry indices of the Moscow Stock Exchange</p>
Electric mat in the stock exchange
<u>Source</u>: Europeana <br><u>4DCity URL</u>: <a href="https://4dcity.org/imgupload/1652249766.3171.jpg">https://4dcity.org/imgupload/1652249766.3171.jpg</a> <br><u>Original Image URL</u>: <a href="https://api.europeana.eu/thumbnail/v2/url.json?uri=https%3A%2F%2Fwww.openbeelden.nl%2Fimages%2F679968%2FElektrische_mat_in_de_effectenbeurs_%25280_19%2529.png&type=VIDEO">https://api.europeana.eu/thumbnail/v2/url.json?uri=https%3A%2F%2Fwww.openbeelden.nl%2Fimages%2F679968%2FElektrische_mat_in_de_effectenbeurs_%25280_19%2529.png&type=VIDEO</a> <br><br><u>Image-Metadata:</u><br>Filename: 1652249766.3171.jpg<br>Image Dimensions: 360x288<br>Megapixels: 0.10 MP<br>Filesize: 100.86 KB<br>
Behavioral aspects of asset value by industry indices of the Moscow Stock Exchange
<p>The dataset contains data on the dynamics of industry indices of the Moscow Stock Exchange and the calculation of their abnormal returns during the Covid 19 pandemic</p>
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