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527 results for “financial”
Economic and financial barriers to delivering mental health services in Georgia: Informing policy and acting on evidence
<p>Dataset includes qualitative data for the manuscript entitled "Economic and financial barriers to delivering mental health services in Georgia: Informing policy and acting on evidence".</p>
FINANCIAL LITERACY AND PATTERN OF SAVINGS, INVESTMENT BEHAVIOR OF WOMENTEACHING FACULTIES IN SAGAR REGION. AN EMPIRICAL ASSESSMENT
<p>The drive of this research paper is to examine the study of women teaching <br>faculties financial literacy along with their knowledge, attitudes, and behaviours, which has <br>considered as the central role permitting people to sort accountable decisions as women’s strive<br>to reach financial happiness. Since, as we stand alone in a developing global financial system <br>in the world financial attentiveness and knowledge is very essential especially in case of <br>teaching women. The involvement of the teaching women in economy will pay to their <br>individual wellbeing as well as nation’s economic growth. Females are accountable for the<br>household budget, outlays, and reserves for the emergency fund and also revenue generation.<br>The empirical study evidenced that it has been exposed that teaching women’s are not much<br>familiar with the credit card ideology and compound interest rate calculations. Besides, it is <br>also discovered that most of the investors handpicked financial institutions for the reason that <br>of familiarity. Several financial misconducts and fraudulent activities are witnessing in the <br>society due to lack of financial literacy and proper financial information among the <br>individuals. Therefore, the drive of this study is to know the level of financial literacy and the <br>pattern savings, investment behaviour among women teaching faculties in sagar District.</p>
ENTRANT: A Large Financial Dataset for Table Understanding
<p>Tabular data is a way to structure, organize and present information conveniently and effectively. Real-world tables present data in two dimensions by arranging cells in matrices that summarize information and facilitate side-by-side comparisons. Recent research efforts aim to train large models with machine learning methods to understand structured tables, a process that enables knowledge transfer in various downstream tasks. Model pre-training, though, requires large tabular datasets, conveniently formatted to reflect cell and table properties and characteristics. This paper presents a financial dataset, called ENTRANT that comprises millions of tables. The tables are transformed to reflect cell attributes, as well as positional and hierarchical information. Hence, they facilitate, among other things, pre-training tasks for table understanding with deep learning methods. The dataset provides table and cell information along with the corresponding metadata in a machine-readable JSON format. Furthermore, we have automated all data processing and curation in a free and open-access project. Moreover, we have technically validated the dataset, through unit testing of high code coverage. Finally, we demonstrate the use of the dataset in a pre-training task of a state-of-the-art model, which is also used for downstream cell classification.</p>
Corporate Social Responsibility and Financial Performance
<p>1- PDF files used in the study.</p> <p>2- Chroma DB files with embeddings</p> <p>3- The data file with extraction details (data.csv)</p> <p> </p>
Application of Block Chain Technology in Financial Service,
<div> <table> <tbody> <tr> <td> <p>Application of Block Chain Technology in Financial Service,</p> </td> <td> <p>St. Joseph"s College , Tiruchirapalli,</p> </td> <td> <p>22nd, July,2020,</p> </td> </tr> </tbody> </table> </div> <p> </p>
Data set (stata format) + do file for : Risk misperceptions of structured financial products with worst-of payout characteristics revisited
<p>This file contains the data set (in stata format) and do file associated with the paper entitled "Risk misperceptions of structured financial products with worst-of payout characteristics revisited"</p>
Daily load patterns of six global exchanges as recorded by vwd/Infront Financial Technology
<p>This data set provides fine-granular statistics on trading traffic generated by six global exchanges over the course of two days in February 2019 for a set of representative feeds and recorded by the systems of vwd Vereinigte Wirtschaftsdienste GmbH (now known as Infront Financial Technology GmbH).</p> <p>Please note that these numbers represent only limited market segments of the actual exchange and the measured feeds might provide different products and instrument types.</p> <p>The exchanges are identified as AU = Sydney, FFM = Frankfurt am Main (GER), HK = Hong Kong (CN), Q = NASDAQ (USA), TK = Tokyo (JPN), UK = London (UK).</p> <p>The data set consists of six (6) files in comma-separated values (CSV) format with one tab as separator.</p> <p>Each file contains a list of timestamped (GMT+1) statistics that represent the update rate per second averaged to the granularity of one minute as received from the respective exchange at each point in time. Format: [UNIX timestamp] \t [updAvg].</p> <p>Please cite this conference paper when using this data:</p> <p>Frischbier, S., Paic, M., Echler, A., Roth, C. (2020). Managing the Complexity of Processing Financial Data at Scale - An Experience Report. In: Boy, G., Guegan, A., Krob, D., Vion, V. (eds) Complex Systems Design & Management. CSDM 2019. Springer, Cham. https://doi.org/10.1007/978-3-030-34843-4_2</p> <p> </p> <p> </p> <p> </p>
Financial literacy and its impact on insurance investment
<p>The research on financial literacy and its impact on fund investments in insurance products is done by surveying the citizens of Montenegro, Serbia and Bosnia and Herzegovina in the first half of 2021, via Viber, e-mail and social networks. Survey respondents completed 3.238 questionnaires with correct answers.</p>
Financial Inclusion Indicators from IMF and World Bank Datasets
<p>This dataset is a combination of IMF and World Bank financial and financial inclusion data from the years 2019 and 2017 respectively. The data is compiled for countries pursuing central bank digital currencies and is used to compare financial inclusion measures across states.</p>
Data and code for "Financial incentives for vaccination do not have negative unintended consequences"
<p>Data and code for "Financial incentives for vaccination do not have negative unintended consequences"</p> <p><a href="https://www.nature.com/articles/s41586-022-05512-4">https://www.nature.com/articles/s41586-022-05512-4</a></p>
Managing Human-Wildlife Interactions: Ecological and Financial Assessment of Elk Feedground Closure in Teton County
<p>Teton County in Western Wyoming is home to large working landscapes, a national park, and the nation's largest elk herd, the Jackson herd. It is also one of the few places in the Western United States that still operates elk feedgrounds, where the artificial feeding of these large mammals has resulted in high density populations over small areas, leading to increased disease transmission and prevalence. A disease of primary concern is brucellosis (<em>Brucella abortus</em>) which can be transmitted from elk to cattle and result in financial burdens for ranchers through quarantine, depopulation, reduced milk production, or calf abortions. This project aimed to better understand the complex social and ecological dynamics of elk feedgrounds in order to assess the feasibility of implementing financial tools that would mitigate the effects of disease transmission and wildlife presence risks of a simulated feedground closure. Our goal is to help improve human-wildlife coexistence on Wyoming's private and public lands. To accomplish this, we completed a Public Comment Sentiment Analysis, a Jackson Herd Habitat Connectivity Model, a Brucellosis Transmission Risk Model, and an Analysis of Financial Repercussions of Feedground Closure. These methods resulted in the assessment of two financial tools, a brucellosis compensation fund and an elk rent program, which we recommend to be implemented in Teton County. This project will serve to better inform the Property and Environment Research Center on potential methods for improving human-wildlife interactions and coexistence in Teton County through the understanding of where elk move on private lands, transmission of disease from elk to cattle, and the impacts that the cessation of feeding could cause on subsequent stakeholders, specifically the financial implications for ranchers.</p>
Replication package for: "Trading stocks builds financial confidence and compresses the gender gap"
<p>This package contains replication files for results using experimental data from "Trading stocks builds financial confidence and compresses the gender gap" by Saumitra Jha and Moses Shayo, to be published in <em>The Economic Journal</em>.</p>
Financial government data analysis in austria
<p>This is a dataset from <a href="https://data.europa.eu/">https://data.europa.eu/</a> and is used for an university project at TU Wien.</p> <p>Its financial data from EU countries:</p> <ul> <li>Net international investment position - quarterly data, % of GDP <ul> <li><a href="https://data.europa.eu/euodp/en/data/dataset/Zaa87C9KaW0Oc7V1BeXRA">https://data.europa.eu/euodp/en/data/dataset/Zaa87C9KaW0Oc7V1BeXRA</a></li> </ul> </li> <li>Portfolio investment - quarterly data, million units of national currency <ul> <li><a href="https://data.europa.eu/euodp/en/data/dataset/XPGtzRQI1bar3IO50yMYGg">https://data.europa.eu/euodp/en/data/dataset/XPGtzRQI1bar3IO50yMYGg</a></li> </ul> </li> <li>Direct investment - quarterly data, million units of national currency <ul> <li><a href="https://data.europa.eu/euodp/en/data/dataset/Yu9NbJr3KNmCNuAcrrzWFQ">https://data.europa.eu/euodp/en/data/dataset/Yu9NbJr3KNmCNuAcrrzWFQ</a></li> </ul> </li> <li>General government gross debt (EDP concept), consolidated - quarterly data <ul> <li><a href="https://data.europa.eu/euodp/en/data/dataset/uEVcriXpO2FOSnwlSkt4Q">https://data.europa.eu/euodp/en/data/dataset/uEVcriXpO2FOSnwlSkt4Q</a></li> </ul> </li> </ul> <p> </p>
Financial forensics for Greek Public Hospitals
<p>Balance sheet analysis- financial statements data of Greek Public Hospitals (2015-2021), examined using the Benford Law and Beneish model tools.</p>
Msc Financial Technology dissertation database
Open the record for dataset details and reuse information.
D6.7- Financial strategies selection tool
<p>In the context ofthe project activities of WP6, entitled "Strategiesto increase the financialresilience of coastal cities", this document briefly describes the contents of D6.7 "Financial strategies selection tool". The tool is intended as a Decision Support System (DSS) for decision makers in Massa, Vilanova i la Geltrú, and Oarsoaldea CCLLs to help them evaluate and choose among different financial resilience strategies to manage flood related financial risk.</p>
DYNAMIC PRICING IN FINANCIAL TECHNOLOGY: EVALUATING MACHINE LEARNING SOLUTIONS FOR MARKET ADAPTABILITY
<p>The rapid advancement of technology has transformed the financial services sector, leading to the rise of fintech companies that leverage cutting-edge tools such as artificial intelligence (AI) and machine learning (ML) to offer innovative solutions. One area where fintech is particularly impactful is dynamic pricing, which involves adjusting prices in real-time based on market conditions, user behavior, and external factors. The ability to optimize pricing in response to fluctuating conditions is critical for maximizing profitability, improving customer satisfaction, and maintaining competitiveness. In this context, machine learning algorithms provide a powerful framework for making data-driven pricing decisions by learning from historical data and predicting future trends.</p>
Replication package for: Fines and Financial Wellbeing
<p>This package contains replication files for "Fines and Financial Wellbeing" by Steven Mello, to be published in the <em>Review of Economic Studies</em>. The results in this paper are based on analyses of public data on traffic citations in Florida merged with confidential credit bureau data. This package includes all public datasets as well as instructions and code for preparing the public datasets to be merged with the credit bureau data. The README file provides instructions for obtaining the credit bureau data, which are not included in this package due to confidentiality restrictions. This package also includes instructions and code for replicating all results using the merged public and credit bureau data. </p>
Examining the role of environmental, social and governance measures in enterprises' financial resilience: Evidence from Europe, the Middle East, and Latin America
<p>The dataset contains information on ESG and financial resilience indicators for the period 2010 to 2020 for European, Middle-East, and Latin American enterprises. </p>
Replication package for "Real Effects of Financial Distress: The Role of Heterogeneity"
<p>This package contains synthetic data and code that generates the figures and tables in the paper and the online appendix. Data files in .csv and stata format have been provided. A readme has been included that provides detailed guidelines how to run the codes.</p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.