Relevant bibliographies by topics / Classification of financial results

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Classification of financial results'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Classification of financial results"

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RZAEVA, T., and O. SEREVETNYK. "FINANCIAL RESULTS AND DIRECTIONS OF THEIR ANALYSIS ACCORDING TO FINANCIAL STATEMENT INDICATORS." Herald of Khmelnytskyi National University. Economic sciences 282, no. 3 (2020): 121–24. https://doi.org/10.31891/2307-5740-2020-282-3-22.

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The aim of the article is to study the theoretical approaches to understanding the concept of financial result and substantiate the directions of its evaluation in accordance with the needs of financial analysis. The article considers theoretical approaches to understanding the essence of the concept of financial result. The main shortcomings in understanding the concept are outlined. The final result of the enterprise as a state of use of enterprise resources is presented. The expediency of the analysis of intermediate and final financial results is emphasized. The final financial result is p
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Степаненко, О.І. "Інтерпретація обліково-економічної категорії "фінансові результати", їх класифікація". Науковий вісник Ужгородського національного університету. Серія: Міжнародні економічні відносини та світове господарство, № 41 (7 червня 2022): 112–17. https://doi.org/10.32782/2413-9971/2022-41-21.

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The financial result is the final expression of the business processes of the enterprise: supply, production, sales, for the implementation of which requires constant capital of the owners. In the context of modern scientific research, the economic and accounting nature of the category "financial results" is analyzed. Approaches to understanding the financial results of the enterprise are highlighted, its qualitative characteristics are outlined. The results of the study showed that the financial result is the difference between income and expenses incurred, and its form of expression is profi
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BORISOV, Svyatoslav E. "Categorizing digital assets into digital financial and non-financial ones." Finance and Credit 30, no. 1 (2024): 177–93. http://dx.doi.org/10.24891/fc.30.1.177.

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Subject. This article deals with the issues related to digital assets. Objectives. The article aims to classify digital assets into financial and non-financial ones based on their essence. Methods. For the study, I used analysis, classification, and the inductive approach. Results. The article offers an original classification of digital assets. It defines the main features for classifying objects of civil rights as digital assets and notes that the current Russian legislation does not allow digital assets to be classified as digital financial assets, which in their essence are digital ones. C
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Cao, Yu. "Aggregating multiple classification results using Choquet integral for financial distress early warning." Expert Systems with Applications 39, no. 2 (2012): 1830–36. http://dx.doi.org/10.1016/j.eswa.2011.08.067.

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K.S, Surabhi. "Credit Score Classification Using Machine Learning." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42075.

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Credit score classification plays a significant role in the financial sector, influencing decisions regarding loans, credit cards, and other financial products. Traditionally, credit scores have been calculated based on financial history, and customers are classified into categories such as “Good,” “Standard,” and “Poor.” However, with advancements in machine learning, there is a potential to improve the prediction accuracy and reliability of these classifications. This paper aims to explore the use of machine learning algorithms to classify customers into these credit score categories using a
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Garnsey, Margaret R. "Automatic Classification of Financial Accounting Concepts." Journal of Emerging Technologies in Accounting 3, no. 1 (2006): 21–39. http://dx.doi.org/10.2308/jeta.2006.3.1.21.

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Information and standards overload are part of the current business environment. In accounting, this is exacerbated due to the variety of users and the evolving nature of accounting language. This article describes a research project that determines the feasibility of using statistical methods to automatically group related accounting concepts together. Starting with the frequencies of words in documents and modifying them for local and global weighting, Latent Semantic Indexing (LSI) and agglomerative clustering were used to derive clusters of related accounting concepts. Resultant clusters w
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Havva, Vitalii, and Mykola Haponiuk. "Digital financial assets: definition and classification." Economic Analysis, no. 33(3) (2023): 238–46. http://dx.doi.org/10.35774/econa2023.03.238.

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Introduction. The digitization of the economy began back in the 50s and 60s of the 20th century, but the term "digital assets" began to be actively used by financial market participants and scientists only after 2008, the impetus for which was the appearance of the so-called distributed ledger technology and the creation of the first cryptocurrency - bitcoin. However, today there is no comprehensive definition of the concept of "digital financial asset" that would fully reveal the essence of this term. Moreover, there is sometimes terminological uncertainty and confusion regarding the terms "c
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Agabekova, G. N. "Analysis of profitability of financial results and factors of its change." BULLETIN OF THE KARAGANDA UNIVERSITY. ECONOMY SERIES 109, no. 1 (2022): 18–27. http://dx.doi.org/10.31489/2023ec1/18-27.

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Object: It lies in the fact that profit and profitability play an important role in the process of the company's activities. They show how stable the company is in carrying out its activities and effective in achieving its goals. The object of the study is to develop recommendations for their improvement based on the analysis of the profit and profitability of the activities of “Kazakhstan Waste Management Operator” LLP. Methods: In the process of writing a scientific article, the following methods of scientific cognition were used: observation, grouping, generalization, comparison, questionna
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Akinbowale, Oluwatoyin Esther, Mulatu Fekadu Zerihun, and Polly Mashigo. "Towards Mitigating Cyberfraud in the South African Financial Institutions: A Deep Learning Approach." International Journal of Economics and Financial Issues 15, no. 4 (2025): 8–18. https://doi.org/10.32479/ijefi.18685.

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This study demonstrates the application of deep learning approach specifically the deep learning for cyberfraud incidence classification and time series prediction in the South African financial institutions. Secondary data from the South African Banking Risk Information Centre (SABRIC) was employed and the data was trained under the deep learning paradigm using the Long Short-Term Memory (LSTM) model and adaptive moment estimation (ADAM) algorithm for fraud incidence classification and time series prediction of fraud incidences. Overall, there were 94.1% correct classifications as opposed to
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Ліхоносова, Ганна Сергіївна, та Іван Костянтинович Чаплигін. "КОНЦЕПЦІЯ СИСТЕМАТИЗАЦІЇ ФІНАНСОВИХ РЕЗУЛЬТАТІВ ПІДПРИЄМСТВА: ОБЛІКОВО-АНАЛІТИЧНІ АСПЕКТИ ЗАБЕЗПЕЧЕННЯ". TIME DESCRIPTION OF ECONOMIC REFORMS, № 1 (23 квітня 2021): 58–66. http://dx.doi.org/10.32620/cher.2021.1.07.

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Formulation of the problem. Understanding the essence of the financial results of enterprises and using effective management decisions regarding their future development is a key guarantee to increasing the efficiency of organizations. One of the most pressing issues related to accounting, analysis and audit of financial results in the conditions of competitive environment is the conceptual aspects of their classification. The functioning of an enterprise largely depends on its ability to bring a sufficient level of income. The aim of the research is to define the concept of systematization of
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Dissertations / Theses on the topic "Classification of financial results"

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Павличенко, Д. О. "Обліково-аналітичне забезпечення управління фінансовими результатами підприємства (на прикладі ТОВ «Арікол»)". Thesis, Одеський національний економічний університет, 2020. http://dspace.oneu.edu.ua/jspui/handle/123456789/12404.

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У роботі розглядаються теоретичні аспекти обліку, аудиту та економічного аналізу ефективного використання фінансових результатів на ТОВ «Арікол». Проаналізовано теоретичні аспекти класифікації фінансових результатів, як у національних, так і міжнародних стандартах обліку, досліджено практичні питання обліку та аудиту формування фінансових результатів, здійснено аналіз основних економічних показників, що відображають результати діяльності підприємства і фінансовий стан; надано рекомендації щодо підвищення ефективності діяльності ТОВ «Арікол». Запропоновано основні напрямки вдосконалення, сфор
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Шептицька, Анна Богданівна. "Управління фінансовими результатами підприємства". Магістерська робота, Київський національний університет технологій та дизайну, 2021. https://er.knutd.edu.ua/handle/123456789/19300.

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Дипломну магістерську роботу присвячено дослідженню управління фінансовими результатами АТ "Укртелеком". Розглянуто теоретичні аспекти визначення сутності фінансових результатів підприємства, проведено аналіз структури та динаміки активів та пасивів підприємства, аналіз та оцінка фінансового стану підприємства, проаналізовано звіт про фінансові результати підприємства, чинники, які впливають на механізм формування фінансових результатів підприємства. Запропоновано шляхи зростання прибутку, методи удосконалення системи управління доходами та прогнозування фінансових результатів на підприємстві.
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Genz, Christian. "Transnational Career Service Conference 2014: Project Reports | Workshops | Results." Technische Universität Chemnitz, 2014. https://monarch.qucosa.de/id/qucosa%3A20062.

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The Transnational Career Service Conference took place at Technische Universität Chemnitz, Germany, 20 – 22 March 2014. About 60 Career Service professionals from nine European countries got together to pursue one goal: to strengthen the bonds between Career Services from all over Europe in order to provide students with even more opportunities for a successful career entry. Published in these conference proceedings are project reports as well as workshop summaries in order to provide a larger audience with the most interesting input and promising ideas from a large number of European Career S
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Стріга, О. Ю. "Доходи та фінансові результати в системі обліку, аналізу та контролю вітчизняних підприємств (на прикладі ПП «Віндоус»)". Thesis, Одеський національний економічний університет, 2021. http://local.lib/diploma/Striga.pdf.

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У роботі розкриваються теоретичні основи та діюча практика обліку, аналізу та контролю доходів і фінансових результатів. Досліджується нормативно-правова регламентація доходів і фінансових результатів, їхня сутність та класифікація. Розглядається порядок формування обліку доходів і фінансових результатів, відображення у фінансовій звітності. Вивчаються особливості документального забезпечення доходів та фінансових результатів на досліджуваному підприємстві. Проводиться аналіз фінансових результатів та розглядаються методичні та практичні аспекти контролю. Пропонуються напрямки покращення облік
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Liu, Fangda, and 刘芳达. "Two results in financial mathematics and bio-statistics." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46976437.

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Lindberg, Andreas. "Classification of Financial Instruments." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252565.

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In this thesis a general framework and accompanying guidelines for how to classify financial instruments within the fair value hierarchy (included within IFRS 13) is presented. IFRS 13 introduces a broad and loosely defined regulation of how to classify a financial instrument which leaves room for misinterpretation and uncertainties. In this thesis the pricing of financial instruments and behaviour of the market data used as inputs in the models has been investigated. This is to give better insight into what is classified as significant market data, how it is used and how it is approximated. I
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Massimiliani, Lorenzo. "Classification and clustering of video fingerprints: preliminary results." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22973/.

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Many photos and videos are produced and uploaded to the Internet every day. Even though this is a small part of the total, a large amount of them is illegal. Once digital content has been distributed online, it is often difficult to re-associate the photo or video to the device that produced it or to the user who initially shared it. To counter the spread of illegal content, there is a branch of studies called “source camera identification”, which aims to reconnect a photo or video to the device that developed it. The idea behind source camera identification is that each camera, having im
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Schure, Christopher [Verfasser]. "Classification results on skew Schur Q-functions / Christopher Schure." Hannover : Technische Informationsbibliothek (TIB), 2016. http://d-nb.info/1108821677/34.

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Zaderaka, Natalia Nikolaevna, and Natalia Vitaliyivna Kyryk. "Concepts of determination of financial results: current state and development prospects." Thesis, National Aviation University, 2021. https://er.nau.edu.ua/handle/NAU/53913.

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1. Drozd IK, Nazarova GB Concepts of accounting and control of financial results (at the enterprises of railway transport): monograph. 2009. 229 p. 2. International Accounting Standards / trans. from English for order. S.F. Head. K .: Federation of Professional Accountants and Auditors of Ukraine. 1998. 736 p. 3. Instructions on the application of the Chart of Accounts for accounting of assets, capital, liabilities and business operations of enterprises and organizations: Order of the Ministry of Finance of Ukraine dated 30.11.1999 № 291 URL: https://zakon.rada.
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Stakovska, Meri. "Improving search results with machine learning : Classifying multi-source data with supervised machine learning to improve search results." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75598.

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Sony’s Support Application team wanted an experiment to be conducted by which they could determine if it was suitable to use Machine Learning to improve the quantity and quality of search results of the in-application search tool. By improving the quantity and quality of the results the team wanted to improve the customer’s journey. A supervised machine learning model was created to classify articles into four categories; Wi-Fi & Connectivity, Apps & Settings, System & Performance, andBattery Power & Charging. The same model was used to create a service that categorized the sea
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Books on the topic "Classification of financial results"

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Adamson, Jan. Interpreting financial results. Hotel and Catering Training Company, 1990.

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Great Britain. Meat and Livestock Commission. Pig Improvement Services., ed. Quarterly data sheet: Physical results, financial results. Meat and Livestock Commission, 1988.

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Great Britain. Meat and Livestock Commission. Pig Improvement Services., ed. Quarterly data sheet: Physical results, financial results. Meat and Livestock Commission, 1987.

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Abreu, Denise A. Results from the 2002 Classification Error Study. United States Department of Agriculture, National Agricultural Statistics Service, Research and Development Division, 2007.

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Horváth, Sándor. Some classification and decidability results on primitive words. Universität Hamburg, Fachbereich Informatik, 1995.

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Heim, Urs. The pilon tibial fracture: Classification, surgical techniques, results. W.B. Saunders, 1995.

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Foundation, IFRS, ed. Financial instruments. IFRS Foundation, 2015.

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Division, United States General Accounting Office Accounting and Information Management. Financial audit results: Impact on budgetary information. The Office, 1998.

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Banks, R. R. Financial results reported in fish processing, 1985. Sea Fish Industry Authority, Fishery Economics Research Unit, 1988.

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United States. General Accounting Office., ed. Financial audit results: Impact on budgetary information. The Office, 1998.

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Book chapters on the topic "Classification of financial results"

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Cardi, Cristiana, Camilla Mazzoli, and Sabrina Severini. "Intellectual Capital Disclosure and IPO Results: Is It a Matter of Classification?" In Bank Funding, Financial Instruments and Decision-Making in the Banking Industry. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30701-5_8.

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Liu, Lei, Zheng Pei, Peng Chen, Zhisheng Gao, Zhihao Gan, and Kang Feng. "An Effective GAN-Based Multi-classification Approach for Financial Time Series." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_110.

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AbstractDeep learning has achieved significant success in various applications due to its powerful feature representations of complex data. Financial time series forecasting is no exception. In this work we leverage Generative Adversarial Nets (GAN), which has been extensively studied recently, for the end-to-end multi-classification of financial time series. An improved generative model based on Convolutional Long Short-Term Memory (ConvLSTM) and Multi-Layer Perceptron (MLP) is proposed to effectively capture temporal features and mine the data distribution of volatility trends (short, neutra
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Sebastião, Helder, and Pedro Godinho. "Forecasting and Trading Cryptocurrencies with Machine Learning Under Changing Market Conditions." In Blockchain, Crypto Assets, and Financial Innovation. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-6839-7_10.

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Abstract This study examines the predictability of three major cryptocurrencies—bitcoin, ethereum, and litecoin—and the profitability of trading strategies devised upon machine learning techniques (e.g., linear models, random forests, and support vector machines). The models are validated in a period characterized by unprecedented turmoil and tested in a period of bear markets, allowing the assessment of whether the predictions are good even when the market direction changes between the validation and test periods. The classification and regression methods use attributes from trading and netwo
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Banica, Teo. "Classification Results." In Introduction to Quantum Groups. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-23817-8_11.

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Achim, Monica Violeta, Sorin Nicolae Borlea, Mihai Gaicu, et al. "Results." In Financial Crime in Romania. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-27883-9_6.

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Bonavia, Michael R. "The Financial Results." In The Nationalisation of British Transport. Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1007/978-1-349-08793-8_16.

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Cipra, Tomas. "Insurance Classification." In Financial and Insurance Formulas. Physica-Verlag HD, 2010. http://dx.doi.org/10.1007/978-3-7908-2593-0_16.

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Kumar, Navin. "Results." In Chronic Regulatory Focus and Financial Decision-Making. Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-694-2_5.

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Hallerbach, Winfried G. "Index Tracking: Some Techniques and Results." In Financial Modelling. Physica-Verlag HD, 1994. http://dx.doi.org/10.1007/978-3-642-86706-4_7.

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Gabber, E., M. Jakobsson, Y. Matias, and A. Mayer. "Curbing junk e-mail via secure classification." In Financial Cryptography. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0055484.

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Conference papers on the topic "Classification of financial results"

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Rehor, Michal, Pavel Schmidt, Radka Duzekov, and Petr Vrablik. "DEGRADED SOILS OF THE MOST BASIN AND THE POSSIBILITIES OF THEIR LOCATION, CLASSIFICATION AND RECLAMATION." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/3.1/s13.25.

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Brown Coal Research Institute j. v. c. (VUHU) from July 2023, together with scientific teams from several European countries, participates as part of the EU research program in the solution of the REECOL project, which deals with the reclamation of areas affected by mining in European coal basins. This paper includes the results achieved in the preparation of the first sub-research report of the project, which deals with degraded soils. On the basis of archival data and own research, the concept of "soil degradation" was defined for the purposes of the REECOL project solution in the conditions
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Ilangovan, K., John Yesudas Valluri, Dhilipan C, and S. Chitradevi. "Utilizing Deep Neural Networks for Financial Market Prediction through Classification." In 2025 International Conference on Intelligent Systems and Computational Networks (ICISCN). IEEE, 2025. https://doi.org/10.1109/iciscn64258.2025.10934571.

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Chandrasekaran, Muthu, Geoffrey Krause, John MacLean, and Pushpendra Tomar. "Integrity Budget Optimization Through Financial Quantification of Risk Results." In 37th International Pipeline Pigging and Integrity Management Conference 2025. Clarion Technical Conferences, 2025. https://doi.org/10.52202/078572-0092.

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Nascimento, Davi, Anna Costa, and Reinaldo Bianchi. "Stock Trading Classifier with Multichannel Convolutional Neural Network." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/eniac.2020.12136.

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Stock market forecasting has been a quite popular challenge in machine learning research. Recently, studies have been using deep learning techniques, such as Convolutional Neural Networks (CNN), to perform regression on the prices or classification on trading signal as an operation indication. However, they did not reach a satisfactory financial result. In this work we aim to design a financially profitable stock market method by proposing a novel approach called Multichannel CNN Trading Classifier (MCNN-TC). The model was evaluated using data from the Brazilian stock market. The results indic
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Tusan, Radoslav. "THE IMPACT OF THE ADOPTION OF INTERNATIONAL FINANCIAL REPORTING STANDARDS ON THE FINANCIAL SITUATION AND PERFORMANCE OF THE COMPANY." In Sixth International Scientific-Business Conference LIMEN Leadership, Innovation, Management and Economics: Integrated Politics of Research. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2020. http://dx.doi.org/10.31410/limen.s.p.2020.37.

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This paper deals with the evaluation of the impact of the adoption of International Financial Reporting Standards (IFRS) on the financial situation and performance of the company. The Slovak Accounting Act allows accounting and reporting under IFRS for two types of entities - explicitly specified by law (e.g. banks, insurance companies, stock exchange); and those that meet specified size criteria. The analyzed company met the size criteria and IFRS has been applying since 2018. The transition from Slovak accounting procedures to IFRS has an impact on the classification of individual items of a
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Silva, Eduardo Menna da, and Jorge Luis Victória Barbosa. "CR-ONTO: Ontology-Based Reasoning for Credit Default Classification." In Simpósio Brasileiro de Sistemas de Informação. Sociedade Brasileira de Computação, 2025. https://doi.org/10.5753/sbsi.2025.245942.

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Context: Credit defaults are operations less explored by financial institutions compared to performing and non-performing loans. This is because recovering credit default is often ineffective and involves high collection costs. Problem: The literature presents studies that describe ontologies to represent knowledge about loans, but they do not address the conceptualization of default. Furthermore, the ontologies do not explore the possibility of recovering these credits in default condition. Solution: This article presents CR-Onto, an ontology designed for the classification of loans in genera
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Chaves, Rubens Marques, André Luis Debiaso Rossi, and Luís Paulo Faina Garcia. "A Financial Distress Prediction using a Non-stationary Dataset." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/eniac.2023.234013.

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Financial distress prediction (FDP) is crucial to companies, investors, and authorities. However, most FDP studies have been based on stationary models, disregarding important challenges present on financial distress data such as non-stationarity. Therefore, the lack of real-world datasets of economic-financial indicators organized in a timeline manner is a gap to be addressed. This study proposes a comprehensive dataset of 84 economic-financial indicators from the Brazilian Securities and Exchange Commission (CVM) organized in a non-stationary manner and validated by experiments using classif
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Vosyliute, Ieva, and Nijole Maknickiene. "INVESTIGATION OF FINANCIAL FRAUD DETECTION BY USING COMPUTATIONAL INTELLIGENCE." In 12th International Scientific Conference „Business and Management 2022“. Vilnius Gediminas Technical University, 2022. http://dx.doi.org/10.3846/bm.2022.787.

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Due to increasing technical capabilities, financial fraud becomes more sophisticated and more difficult to detect. As there are various categories and typologies of financial fraud, different detection techniques may be applied. However, based on the data generated daily by financial organizations, a technical solution must be implemented. This paper presents a comprehensive literature review of financial fraud, the categorizations of financial fraud, and financial fraud detection with the particular focus on computational intelligence-based techniques. As outlined in the reviewed literature,
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Lazea, Georgiana Iulia. "Bibliometric analysis on cryptocurrencies financial reporting." In International student scientific conference "Challenges of accounting for young researchers", 8th Edition. Academy of Economic Studies of Moldova, 2024. https://doi.org/10.53486/issc2024.11.

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This study delves into the world of cryptocurrency financial reporting (CFR) research, exploring the connections between researchers, their institutions, and the countries they represent, considering the context in which cryptocurrencies financial reporting practices remain uncertain. Data from the Web of Science Core Collection were employed, mainly publications from 2016 to 2023, using the term “cryptocurrency financial reporting” to identify publications regarding this topic. By leveraging tools like VOSviewer, Biblioshiny, and Microsoft Excel, we pinpointed influential research on CFR, col
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Wang, Qin, and Hui Xia. "An Explainable Multi-Level Approach for Financial Fraud Detection." In 6th International Conference on Structural Health Monitoring and Integrity Management, 8 - 10 November 2024, Zhengzhou. NDT.net, 2025. https://doi.org/10.58286/31004.

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As financial information is the fundamental source of decision-making for numerous stakeholders, investors and regulators, there is a risk that some companies may manipulate it to mislead people and engage in fraudulent activities. However, the growth of capital markets and accelerated advances in information technology have contributed to the increasing sophistication and insidiousness of financial fraud. Consequently, it is becoming increasingly difficult for some well-established models to identify new fraud patterns, making the identification and prevention of financial fraud an even more
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Reports on the topic "Classification of financial results"

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Costantini, Orsola, and Carlo D’Ippoliti. Mapping fragility – Functions of wealth and social classes in U.S. household finance. Institute for New Economic Thinking Working Paper Series, 2024. http://dx.doi.org/10.36687/inetwp215.

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Which households are more exposed to financial risk and to what extent is their debt systemically relevant? To provide an answer, we advance a new classification of the population, adapted from Fessler and Schürz (2017), based on the type of wealth families own and their sources of income. Then, we investigate data from eleven waves of the Survey of Consumer Finances (SCF), a triennial survey run by the U.S. Federal Reserve, to explore the association of different debt configurations and motives to get into debt with our class distinctions. Our new approach allows us to assess competing hypot
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Fajardo, Johanna, and Eduardo Lora. Latin American Middle Classes: The Distance between Perception and Reality. Inter-American Development Bank, 2011. http://dx.doi.org/10.18235/0011352.

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The main contribution of this paper with respect to previous work is the use of data on subjective perceptions to identify the Latin American middle classes. This paper provides a set of comparisons between objective and subjective definitions of middle-class using data from the 2007 World Gallup Poll. Seven objective income-based definitions of social class are contrasted with a self-perceived social status measure. Mismatches between the objective and the subjective classification of social class are the largest when the objective definition is based on median incomes. Mismatches result from
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Bagherjeiran, A., and C. Kamath. Graph-based Techniques for Orbit Classification: Early Results. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/885147.

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Han, Euihong, and George Karypis. Centroid-Based Document Classification Algorithms: Analysis & Experimental Results. Defense Technical Information Center, 2000. http://dx.doi.org/10.21236/ada439538.

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Pizarro, Rodrigo, Raúl Delgado, Huáscar Eguino, and Aloisio Lopes Pereira. Climate Change Public Budget Tagging: Connections across Financial and Environmental Classification Systems. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003021.

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Identifying and evaluating climate expenditures in the public sector, known as budget tagging, has generated increasing attention from multiple stakeholders, not only to assess the governments climate change policy, but also to monitor fiscal risks associated with increasing and unpredictable climate change impacts. This paper explores the issues raised by climate change budget tagging in the context of a broader discussion on the connections with fiscal and environmental statistical classification systems. It argues that, for climate change budget tagging efforts to be successful, the definit
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Shawler, Justin, Aleksandra Ostojic, Joseph Harwood, Christopher Macon, Molly Reif, and Aaron Schad. Geomorphic Monitoring of Coastal Marsh Restoration Sites: Insights from Field and Remote Sensing Approaches in Louisiana, USA. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/48401.

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Restoration of coastal marshes presents unique geomorphic monitoring challenges because these sites are often remote and/or inaccessible, and time and financial resources for field-based geomorphic monitoring may be limited. Yet, the geomorphic trajectory of coastal marshes controls the overall system health and longevity. The expansion of Unmanned Aircraft System (UAS) technology and new satellite platforms offer opportunities to complement ground-based geomorphic monitoring and overcome the challenges associated with traditional field methods. Here, we compare field-based and remote sensing
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Kavalsky, Basil, Jose Ignacio Sembler, Monika Huppi, and Diether Beuermann. IDB-9: Knowledge Products. Inter-American Development Bank, 2013. http://dx.doi.org/10.18235/0010524.

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The Inter-American Development Bank (IDB) has a diverse set of knowledge products: economic and sector work, knowledge products associated with loans, and a variety of non-reimbursable technical cooperation products (TCs) funded by either income from ordinary capital or donor trust funds. With growing emphasis on IDB's capacity to make effective non-financial contributions to its borrowers, there has been substantial focus on how to increase the development impact of TCs. This involves balancing client demand and the institution's own view of country and regional priorities. IDB has struggled
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Dao, Minh, and Tung-Duong Tran-Luu. Sparsity-Based Representation for Classification Algorithms and Comparison Results for Transient Acoustic Signals. Defense Technical Information Center, 2016. http://dx.doi.org/10.21236/ad1009802.

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Candy, J. V. LLNL heart valve condition classification project anechoic testing results at the TRANSDEC evaluation facility. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/9649.

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Furbish, Glenn D., Daniel Chen, Whitney Miller, Hayden Morel, James Shafer, and Nadia Shamari. Sons of Iraq Program: Results Are Uncertain and Financial Controls Were Weak. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada545951.

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