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527 results for “financial”
Financial Literacy among Young College Students: Advancements and Future Directions
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FiNER-139: A Financial Numeric Entity Recognition Dataset
<p>FiNER-139 is published with the article: FiNER: Financial Numeric Entity Recognition for XBRL Tagging</p> <p>In the Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022) (Long Papers), Dublin, Republic of Ireland, May 22 - 27, 2022.</p> <p>We release FiNER-139, a dataset of 1.1M sentences with gold XBRL tags. Unlike typical entity extraction datasets, FiNER-139 uses a much larger label set of 139 entity types. Most annotated tokens are numeric, with the correct tag per token depending mostly on context, rather than the token itself.</p>
Greening the financial regulation by optimizing credit limits for renewable energy
<p>Numerical Data used in the empirical part of the paper</p>
Nonprofit Opera 2014 Financial Merge
<p>The purpose of this script is to merge a previously compiled list of all Opera Companies in the US with their corresponding IRS 990 or 990EZ data, if available.</p>
Multifractality approach of a generalized Shannon index in financial time series
<p>Multifractality is a concept that extends locally the usual ideas of fractality in a system. Nevertheless, the multifractal approaches used lack a multifractal dimension tied to an entropy index like the Shannon index. This paper introduces a generalized Shannon index (GSI) and demonstrates its application in understanding system fluctuations. To this end, traditional multifractality approaches are explained. Then, using the temporal Theil scaling and the diffusive trajectory algorithm, the GSI and its partition function are defined. Next, the multifractal exponent of the GSI is derived from the partition function, establishing a connection between the temporal Theil scaling exponent and the generalized Hurst exponent. Finally, this relationship is verified in a fractional Brownian motion and applied to financial time series. In fact, this leads us to propose an approximation called local fractional Brownian motion approximation, where multifractal systems are viewed as a local superposition of distinct fractional Brownian motions with varying monofractal exponents. Also, we furnish an algorithm for identifying the optimal q-th moment of the probability distribution associated with an empirical time series to enhance the accuracy of generalized Hurst exponent estimation.</p>
Cost Management in Cloud Computing: a study on financial waste and correction strategies
<p>This project explores the identification and mitigation of financial wastage in Cloud Computing (CC) operations by professionals in the field, examining the alignment of their strategies with FinOps guidelines. Through a survey distributed via social media and messaging apps to CC professionals, the study engaged 28 participants from various companies, sizes, and sectors. It revealed that these professionals have encountered cost-related issues in cloud applications, particularly financial wastage. The investigation aimed to understand the prevalence of financial wastage in CC and evaluate the effectiveness of the adopted practices in addressing these inefficiencies within the framework of FinOps principles.</p>
Financial, supplies, and human resource preparedness in management of COVID-19 pandemic among dental facilities in Nairobi County, Kenya
<p>The COVID-19 pandemic put a strain on healthcare facilities across the globe. Dental facilities pose the highest COVID-19 transmission risk categories due to the aerosol-generating procedures involved in dental practice. This study aimed to determine financial, supplies, and human resource preparedness in managing the COVID-19 pandemic among Nairobi County, Kenya dental facilities. A cross-sectional study was conducted using a mixed-methods approach among 183 dental facilities in Nairobi County. Data was collected using a KoboCollect questionnaire and analyzed using MS Excel and SPSS version 26. Dental facilities' readiness was assessed using the ReadyScore Criteria. Qualitative data was collected through one-on-one interviews with key informants and analyzed thematically. Readyscore Criteria analysis showed that 39 (21.3%) of the evaluated dental facilities were considered "ready," while 133 (72.7%) and 11 (6%) were considered to have "work to do" and "not ready" for the pandemic. Bivariate analysis showed that the level of facility (p<0.001), presence of other departments (p<0.001), funds sufficiency for COVID-19 emergency response (p=0.001), and clients attended per month (p=0.017) were statistically significant factors associated with pandemic preparedness scores. Regression analysis revealed that the presence of other departments among the dental facilities was a significant predictor of readiness, with a 4.5 times higher likelihood of being ready for a pandemic (aOR 4.591; 1.471–14.327, p=0.009) compared to other facilities. Support from healthcare authorities and capacity-building initiatives are recommended to enhance preparedness and resilience among dental facilities in the face of the COVID-19 pandemic.</p>
Data of paper entitled "The Impact of Financial Influencers, Social Influencers, and FOMO Economy on the Decision-Making of Investment on Millennial Generation and Gen Z of Indonesia"
<p>The repository contains:</p> <ol> <li>Result of inner model of PLS</li> <li>Result of outer model of PLS</li> <li>Questionnaire result</li> </ol>
Artifacts of the Article: "Guidelines for Using Financial Incentives in Software-Engineering Experimentation"
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The futures of 193 Popular Financial Reporting of Awards Program 2017 and social economic elements
<p>Dataset The futures of 193 Popular Financial Reporting of Awards Program 2017 and social economic elements</p>
Cashtag Piggybacking dataset - Twitter dataset enriched with financial data
<p>This dataset is composed of </p> <ul> <li>Twitter dataset of ~9M tweets mentioning stocks (cashtags) traded on the most important US markets, shared between May and September 2017 (users data enriched with bot classification label)</li> <li>Financial information about ~30k companies found in those tweets, retrieved from Google Finance</li> </ul> <p>Refer to the paper below for more details.</p> <p>Cresci, S., Lillo, F., Regoli, D., Tardelli, S., & Tesconi, M. (2019). Cashtag Piggybacking: Uncovering Spam and Bot Activity in Stock Microblogs on Twitter. <em>ACM Transactions on the Web (TWEB)</em>, <em>13</em>(2), 11.</p>
Risk Measures for Illicit Financial Flows Dataset
<p>This dataset provides the Vulnerability, Intensity, and Exposure measures as described in the paper "Risk Measures for Illicit Financial Flows: A New International Dataset".</p> <p>The code to generate the dataset is available on <a href="https://github.com/walice/Risk-Analysis-IFF">https://github.com/walice/Risk-Analysis-IFF</a>.</p>
Examining the oil price and renewable energy price nexus: Comparative wavelet analysis for the aftermath of 2008 financial crisis, shale oil crisis and COVID-19 pandemic.
<p><span>In this study, we conducted a wavelet analysis on the dependence between renewable energy indices and Brent oil index (Brent) for the period of 21st November, 2003 till 24th May, 2024. The objective of the paper includes comparing the co-movement of renewable energy stock prices and oil prices during three different crises including the global financial crisis, shale oil crisis and the covid-19 pandemic. We found that the dependence is similar for both Europe and on a global scale during the pre-crises time, where renewable energy prices lead Brent oil prices in the short and medium term. Furthermore, results confirm that there is substitutability between oil prices and renewable energy prices before all crises which shows a positive correlation. The results further show that the short and medium term dependence disappears after the oil crisis and financial crisis which is supported by the sudden loss in demand for oil. These findings show that co-movement changes between the three crises where there is no dependence between the indices after the financial and oil crisis while there is a negative correlation after the covid-19 pandemic. These findings could have significant ramifications for investors seeking to mitigate risks and for policymakers making decisions about supporting the advancement of renewable energy while understanding the change of behaviour between the two crises.</span></p>
Financial strategies selection tool
<p><span>In the context of the project activities of WP6, entitled "Strategies to increase the financial resilience 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.</span></p>
CF_D2 financial and investment entities viewpoint and maturity about climate adaptation finance
<p><span>The CLIMATEFIT dataset D</span><span>2</span><span> contains data </span><span>collected</span><span> as part of </span><span>WP1’s</span> <span>T</span><span>ask 1.</span><span>2</span><span>: </span><span>Understand financial and investment entities point of view and maturity (M1-M8; Leader: WCF</span><span>).</span></p> <p><span><span>This data set contains no other data than what is available in </span><a href="https://climatefit-heu.eu/knowledge-center/"><span>Deliverable 1.1 Adaptation Investment Landscape</span></a>. These interview transcripts and surveys are not included in this dataset due to sensitivity of information.</span></p>
Banking on the Confucian Clan: Why China Developed Financial Markets So Late
<p>Over the past millennium, China has relied on the Confucian clan to achieve interpersonal <br> cooperation, focusing on kinship and neglecting the development of impersonal institutions <br> needed for external finance. In this paper, we test the hypothesis that the Confucian clan and <br> financial markets are competing substitutes. Using the large cross-regional variation in the <br> adoption of modern banks, we find that regions with historically stronger Confucian clans <br> established significantly fewer modern banks in the four decades following the founding of <br> China’s first modern bank in 1897. Our evidence also shows that the clan continues to limit <br> China’s financial development today.</p>
Financial Literacy Bibliometrics - Main Information
<p>Financial Literacy Bibliometrics - Main Information, part of PhD Thesis in Management.</p>
An Overview of Cybersecurity in Zimbabwe's Financial Services Sector
<p>This data set captures the state of cybersecurity in the financial services sector in Zimbabwe. The study aims to assess the state of cybersecurity in a developing country to raise awareness and compliance and fight cybercrime. </p>
Dataset for "Research Trend of Behavioral Bias in Financial Market: A Bibliometric Analysis "
<p>Dataset for Bibliometric research</p>
Supplementary Information to the Consultation on the Progress Report of the Financial Sustainability Task Force: Responses
<p>This document contains the responses received in the consultation carried out by the Financial Sustainability Task Force of the EOSC Association (TF FinSust in the following) to obtain feedback on their Progress Report. The link to the Report can be found on the page about the Task Force at the website of the EOSC Association (<a href="https://www.eosc.eu/advisory-groups/financial-sustainability">https://www.eosc.eu/advisory-groups/financial-sustainability</a>). The questionnaire is available in Zenodo (<a href="https://doi.org/10.5281/zenodo.8334658">https://doi.org/10.5281/zenodo.8334658</a>)</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.