Academic literature on the topic 'Modeling of financial potential'

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Journal articles on the topic "Modeling of financial potential"

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Tiutiunyk, Inna, and Iryna Kozhushko. "Modeling the Impact of Shadow Financial Transactions on the Country’s Financial Potential." Financial Markets, Institutions and Risks 6, no. 4 (2022): 134–43. http://dx.doi.org/10.21272/fmir.6(4).134-143.2022.

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The article summarizes the arguments and counterarguments within the scientific debate on the issue of raising the level of the country’s financial potential. The main goal of the conducted research is to model the impact of shadow operations on the level of the country’s financial potential. Analysis of the dynamics of publication activity on issues of the shadow economy and financial potential in publications indexed by the Scopus and Web of Science databases, bibliometric analysis of the connection between the concept of the shadow economy and other economic categories made it possible to i
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Daneshkhah, Alireza, Amin Hosseinian-Far, Omid Chatrabgoun, Tabassom Sedighi, and Maryam Farsi. "Probabilistic Modeling of Financial Uncertainties." International Journal of Organizational and Collective Intelligence 8, no. 2 (2018): 1–11. http://dx.doi.org/10.4018/ijoci.2018040101.

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Since the global financial crash, one of the main trends in the financial engineering discipline has been to enhance the efficiency and flexibility of financial probabilistic risk assessments. Creditors could immensely benefit from such improvements in analysis hoping to minimise potential monetary losses. Analysis of real world financial scenarios require modeling of multiple uncertain quantities with a view to present more accurate, near future probabilistic predictions. Such predictions are essential for an informed decision making. In this article, the authors extend Bayesian Networks Pair
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Kosteniuk, Iu B. "Modeling of Enterprise Potential for Development of Management Strategies." Statistics of Ukraine 87, no. 4 (2020): 21–27. http://dx.doi.org/10.31767/su.4(87)2019.04.03.

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The conducted research is concerned with the evaluation of various elements of the potential and the determination of their influence on the competitive behavior of the enterprise.
 Using the graphical method "Polygon of potential" the efficiency of various elements of the enterprise potential is determined. The performed modeling makes it possible to systematically establish quantitative and qualitative links between individual elements of the potential, the level of its development and competitiveness and on that basis to justify and timely implement strategies for managing the enterpri
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Ostapenko, Oleksandr, and Oles Koval. "The Probability of the Military Potential Increase: Financial and Economic Factors." Journal of Scientific Papers "Social development and Security" 15, no. 2 (2025): 248–63. https://doi.org/10.33445/sds.2025.15.2.20.

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Purpose: To model financial and economic indicators and determine their real impact on Ukraine’s military power (military potential). Method: Non-linear modelling. Findings: The results of the preliminary exploratory data analysis indicate that it is advisable to use the following variables for modelling: business environment and credit. Thus, an increase in the business environment indicator (improvement in the following parameters: stability of economic policy for doing business; economic policy and entrepreneurship culture) adds 3.64% to the probability of improving the military potential r
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Titilayo Deborah Olorunyomi, Titilope Tosin Adewale, and Theodore Narku Odonkor. "Dynamic risk modeling in financial reporting: Conceptualizing predictive audit frameworks." International Journal of Frontline Research in Multidisciplinary Studies 1, no. 2 (2022): 094–112. https://doi.org/10.56355/ijfrms.2022.1.2.0057.

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Dynamic risk modeling in financial reporting has emerged as a transformative approach to enhance the accuracy, transparency, and reliability of audits in an increasingly complex financial environment. This study conceptualizes a predictive audit framework that integrates advanced technologies, such as machine learning (ML) and artificial intelligence (AI), to identify, assess, and mitigate financial risks in real time. Traditional audit processes often rely on static evaluations, which fail to account for evolving risk factors and data interdependencies. Predictive audit frameworks, by contras
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Omowole, Bamidele Michael, Hope Ehieghe Omokhoa, Ibidapo Abiodun Ogundeji, and Godwin Ozoemenam Achumie. "Dynamic Risk Modeling in Financial Reporting: Conceptualizing Predictive Audit Frameworks." International Journal of Social Science Exceptional Research 1, no. 1 (2022): 158–72. https://doi.org/10.54660/ijsser.2022.1.1.158-172.

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Dynamic risk modeling in financial reporting has emerged as a transformative approach to enhance the accuracy, transparency, and reliability of audits in an increasingly complex financial environment. This study conceptualizes a predictive audit framework that integrates advanced technologies, such as machine learning (ML) and artificial intelligence (AI), to identify, assess, and mitigate financial risks in real time. Traditional audit processes often rely on static evaluations, which fail to account for evolving risk factors and data interdependencies. Predictive audit frameworks, by contras
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Georgieva, Penka V. "Genetic Fuzzy System for Financial Management." Cybernetics and Information Technologies 18, no. 2 (2018): 20–35. http://dx.doi.org/10.2478/cait-2018-0025.

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Abstract This paper discusses genetic fuzzy systems – hybrid systems of artificial intelligence combining the potential of fuzzy sets for modeling approximate reasoning with the abilities of genetic algorithms for finding optimal solutions. The use of genetic algorithms for optimizing the parameters of a fuzzy system is demonstrated on GFSSAM.
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Nneka Adaobi Ochuba, Olukunle Oladipupo Amoo, Enyinaya Stefano Okafor, Favour Oluwadamilare Usman, and Olatunji Akinrinola. "CONCEPTUAL DEVELOPMENT AND FINANCIAL ANALYTICS FOR STRATEGIC DECISION-MAKING IN TELECOMMUNICATIONS, FOCUSING ON ASSESSING INVESTMENT OPPORTUNITIES AND MANAGING RISKS IN SATELLITE PROJECTS." International Journal of Management & Entrepreneurship Research 6, no. 3 (2024): 594–607. http://dx.doi.org/10.51594/ijmer.v6i3.847.

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Conceptual development and financial analytics are critical components of strategic decision-making in the telecommunications industry, particularly in assessing investment opportunities and managing risks in satellite projects. This Review provides an overview of the key concepts and approaches used in this context. In the telecommunications sector, especially in satellite projects, conceptual development involves the creation and refinement of strategic plans and objectives. This process includes identifying market opportunities, defining project goals, and developing strategies to achieve t
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Zulfikar, Z., and Wahyuni Sri. "The impact of discretionary loan loss provision of sharia financing on financial performance." Banks and Bank Systems 14, no. 4 (2019): 34–41. http://dx.doi.org/10.21511/bbs.14(4).2019.04.

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This study aims to investigate the role of discretionary loan loss provision of sharia financing on the Islamic commercial banks’ financial performance in Indonesia. Partial Least Squares-Structural Equation modeling (PLS-SEM) is used to examine the relationship between loan loss provisions and financial performance in 13 Islamic commercial banks for 4.5 years. The analysis of the outer model shows that the probability of default and loss given default are determinants of loan loss provision, while financial performance is determined by return on assets, non-performing financing, net operating
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Londar, Serhii, and Liudmila Kozarezenko. "Modeling of the Excise Taxation Influence on Components of Human Potential." Oeconomia Copernicana 5, no. 4 (2014): 95–116. http://dx.doi.org/10.12775/oec.2014.029.

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The purpose of the research is analysis of a model of influence of excise tax rate increase for tobacco products in Ukraine on financial indices of state funds, prevalence of tobacco smoking, and indices of society health. Due to the results of research, the author determined the opportunities of the excise tax for tobacco smoking prevalence regulation in Ukraine. The dynamics of changes of specific and ad valorem rates of the excise tax and the dynamics of its contribution to the revenues of the State Budget of Ukraine were analyzed. The author estimated the changes of tobacco smoking prevale
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Dissertations / Theses on the topic "Modeling of financial potential"

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Wentzel, John Peter. "Modelling financial services adoption through an intermediary in South Africa : TAM and SEM approach." Thesis, University of Pretoria, 2012. http://hdl.handle.net/2263/25926.

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One of the most pressing needs society has in 2012 is addressing the plight of the 4 billion people, globally, who live at the bottom of the economic pyramid. Unless initiatives are undertaken to alleviate poverty and hardship in this portion of society, human potential will be wasted and the economic burden on the rest of society to support them will remain significant. In South Africa a significant portion of the population live at the bottom of the pyramid. One initiative to alleviate poverty and hardship is to enable bottom of the pyramid people who are excluded from formal financial servi
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Witte, Björn-Christopher [Verfasser], and Frank [Akademischer Betreuer] Westerhoff. "Using Agent-Based Modeling to Explore the Dynamics of Financial Markets and the Potential for Regulation / Björn-Christopher Witte. Betreuer: Frank Westerhoff." Bamberg : Otto-Friedrich-Universität Bamberg, 2012. http://d-nb.info/1058654810/34.

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Ruzov, Vladimir. "Neuromodulation: Action Potential Modeling." DigitalCommons@CalPoly, 2014. https://digitalcommons.calpoly.edu/theses/1217.

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There have been many different studies performed in order to examine various properties of neurons. One of the most important properties of neurons is an ability to originate and propagate action potential. The action potential is a source of communication between different neural structures located in different anatomical regions. Many different studies use modeling to describe the action potential and its properties. These models mathematically describe physical properties of neurons and analyze and explain biological and electrochemical processes such as action potential initiation and prop
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Bliatsios, George. "Financial Modeling Under Incomplete Information." Thesis, Uppsala universitet, Analys och sannolikhetsteori, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-253281.

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Sadalla, Marco Antonio V. (Marco Antonio Vieira). "An overview of potential financial bubbles in the US financial markets." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/81012.

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Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 94-97).<br>Financial bubbles have presented a challenge for the financial markets for a long time and caused steep losses for many investors. This thesis has two main goals relating to financial bubbles. The first is to try to determine if it is possible to find out if a financial bubble is forming. To accomplish that, the economic theories that govern bubble formation and burst are analyzed and the models that exist to pr
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Le, Guenedal Théo. "Financial Modeling of Climate-related Risks." Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAG009.

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Ce projet de recherche est consacré à l'estimation des risques financiers liés au changement climatique. Au-delà des applications et des résultats quantitatifs, les chapitres de cette thèse ont pour principal objectif d'apporter des méthodologies générales utilisables par les praticiens. Le premier chapitre propose une méthode d'évaluation bottom-up du risque de transition adjointe aux modèles de risque classiques. Cette approche du risque opérationnel par les coûts engendrés par une taxe potentielle limite l'impact aux secteurs directement polluants, ce qui amène au deuxième chapitre, introdu
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Kawai, Reiichiro. "Contributions to Infinite Divisibility for Financial Modeling." Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/4888.

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Infinitely divisible distributions and processes have been the object of extensive research not only from the theoretical point of view but also for practical use, for example, in queueing theory or mathematical finance. In this thesis, we will study some of their subclasses with a view towards financial modeling. As generalizations of stable distributions, we study the tempered stable distributions and introduce the new classes of layered stable distributions as well as the mixed stable distributions, along with the corresponding Levy processes. As a further generalization of infinitely di
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Rogers, Lauren. "Modeling Organizational Culture in a Financial Institution." TopSCHOLAR®, 2002. http://digitalcommons.wku.edu/theses/633.

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Ideal versus current organizational culture perceptions, differences in perceptions of culture between hierarchal levels and departments, and the strength of organizational culture were investigated in the current study. Organizational culture was measured by Cooke and Lafferty's (1987) Organizational Culture Inventory. There were differences in culture perceptions between ideal versus the current culture, hierarchal levels, and departments. The organizational culture was perceived to be weak in comparison to the four desirable styles indicated by the OCI profile.
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Balasubramaniam, Anitha. "Financial modeling of new product development economics." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/90707.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 85-86).<br>Product design and development is a complex process that involves extensive engineering considerations as well as management decisions based on the overall vision for the product. Traditionally, most decision making in product development is experienced based and intuitive. With increased scrutiny on cost and a need for greater speed to market
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Yoldas, Emre. "Essays on multivariate modeling in financial econometrics." Diss., [Riverside, Calif.] : University of California, Riverside, 2008. http://proquest.umi.com/pqdweb?index=0&did=1663051691&SrchMode=2&sid=2&Fmt=6&VInst=PROD&VType=PQD&RQT=309&VName=PQD&TS=1265225972&clientId=48051.

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Thesis (Ph. D.)--University of California, Riverside, 2008. Thesis (Ph. D.)--University of California, Riverside, 2009.<br>Includes abstract. Title from first page of PDF file (viewed February 3, 2009). Available via ProQuest Digital Dissertations. Includes bibliographical references (p. 135-137). Includes bibliographical references (leaves ). Also issued in print.
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Books on the topic "Modeling of financial potential"

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Häcker, Joachim, and Dietmar Ernst. Financial Modeling. Palgrave Macmillan UK, 2017. http://dx.doi.org/10.1057/978-1-137-42658-1.

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Crépey, Stéphane. Financial Modeling. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37113-4.

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Benjamin, Czaczkes, ed. Financial modeling. MIT Press, 1997.

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Pfaff, Philip. Financial modeling. Allyn and Bacon, 1990.

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Benninga, Simon. Financial modeling. 2nd ed. MIT Press, 2000.

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Ekstrand, Christian. Financial Derivatives Modeling. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22155-2.

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service), SpringerLink (Online, ed. Financial Derivatives Modeling. Springer-Verlag Berlin Heidelberg, 2011.

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U.S. Nuclear Regulatory Commission. Modeling potential reactor accident consequences. U.S. Nuclear Regulatory Commission, 2012.

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Sawyer, Tom Y. Pro Excel Financial Modeling. Apress, 2009. http://dx.doi.org/10.1007/978-1-4302-1899-9.

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Sengupta, Chandan, ed. Financial Modeling Using C++. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781119201991.

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Book chapters on the topic "Modeling of financial potential"

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Chen, Chung-Chi, Hen-Hsen Huang, and Hsin-Hsi Chen. "Modeling Financial Opinions." In From Opinion Mining to Financial Argument Mining. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2881-8_2.

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AbstractIn this chapter we lay out the primary background of a financial opinion and the relation between opinions and financial instruments. Together, these constitute an overall picture of opinion-based market interaction. Following this discussion we propose several research issues. First, in Sect. 2.1, we discuss the components in a financial opinion one by one, as well as potential research directions; we also explain why we need to extract components and estimate their quality (or influence).
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Basid Amnas, Muhammed, Murugesan Selvam, and Chinnadurai Kathiravan. "The Potential of a Fintech-Driven Model in Enabling Financial Inclusion." In Data-Driven Modelling and Predictive Analytics in Business and Finance. Auerbach Publications, 2024. http://dx.doi.org/10.1201/9781032618845-11.

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Yemelyanov, Olexandr Yu, Ihor M. Petrushka, Tetyana O. Petrushka, Ilona O. Tuts, and Viacheslav Dzhedzhula. "Modelling and Information Support for Assessing the Potential for Increasing the Financial Stability of Enterprises." In Data-Centric Business and Applications. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54012-7_9.

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Zhu, Wenjun, Jinggong Zhang, Lysa Porth, and Ken Seng Tan. "Index-based Insurance Design for Climate and Weather Risk Management: A Review." In Springer Actuarial. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-80574-5_2.

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Abstract Index insurance has become a notable risk management tool in response to increasing climate variability and extreme weather events. This chapter offers a thorough review of innovative index-based financial solutions, focusing on index insurance. It explores the essential principles of index insurance, including its actuarial framework, empirical research findings, and practical considerations. Additionally, the chapter explores future advancements in the field, emphasizing the integration of cutting-edge technologies such as artificial intelligence and blockchain. These innovations ha
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Kellerhals, B. Philipp. "Financial Modeling." In Springer Finance. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24697-8_1.

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Reilly, Syrene R., and David Avrin. "Financial Modeling." In PACS. Springer New York, 2002. http://dx.doi.org/10.1007/978-1-4757-3651-9_2.

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Reghai, Adil. "Financial Modeling." In Quantitative Finance. Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137414502_1.

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Häcker, Joachim, and Dietmar Ernst. "Introduction." In Financial Modeling. Palgrave Macmillan UK, 2017. http://dx.doi.org/10.1057/978-1-137-42658-1_1.

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Häcker, Joachim, and Dietmar Ernst. "Corporate Finance Part I." In Financial Modeling. Palgrave Macmillan UK, 2017. http://dx.doi.org/10.1057/978-1-137-42658-1_10.

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Häcker, Joachim, and Dietmar Ernst. "Corporate Finance Part II." In Financial Modeling. Palgrave Macmillan UK, 2017. http://dx.doi.org/10.1057/978-1-137-42658-1_11.

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Conference papers on the topic "Modeling of financial potential"

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Perederieva, S. "DOMINANTS OF SYSTEM-DYNAMIC MODELING OF THE FINANCIAL POTENTIAL OF THE AIC." In Scientific research of the SCO countries: synergy and integration. Crossref, 2025. https://doi.org/10.34660/inf.2025.47.56.005.

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The author of the article substantiates the dominant factors of system-dynamic modeling that determine the volumes of growth of financial potential created at the level of the agro-industrial complex and regions. It is established that the regulator of growth of the financial potential of the agro- industrial complex should be based on preventive measures to promote growth and productive use of financial resources and unrealized financial potential of enterprises.
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Макеенко, Мария Владимировна, and Алина Стройкина. "AUTOMATION OF FINANCIAL MODELING IN INDUSTRIAL ENTERPRISES." In Анализ проблем и поиск перспективных научных решений: сборник статей международной научной конференции (Санкт-Петербург, Июль 2024). Crossref, 2024. http://dx.doi.org/10.58351/240706.2024.77.38.002.

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Автоматизация финансового моделирования на промышленных предприятиях является важной темой исследования в области финансового менеджмента. В данной статье проводится анализ и оценка потенциала автоматизации финансового моделирования для повышения эффективности и точности финансового анализа на предприятии. В рамках исследования анализируются существующие методы и инструменты автоматизации финансового моделирования. Automation of financial modeling in industrial enterprises is an important research topic in the field of financial management. This article analyzes and evaluates the potential of
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Velichko, V., Nadezhda Yudina, D. Broslavsky, and I. Buneev. "MONTE CARLO METHOD FOR MODELING THE ASSESSMENT OF POTENTIAL SCENARIOS OF MARKET BEHAVIOR AND THE IMPACT OF RANDOM EVENTS ON THE PORTFOLIO." In ENERGY-SAVING AND ENVIRONMENTALLY SAFE TECHNOLOGIES OF THE TIMBER INDUSTRY – 2025. FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov, 2025. https://doi.org/10.58168/e-sestti2025_156-158.

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The Monte Carlo method is one of the most effective tools for modeling market scenarios and analyzing financial risks. This article discusses the mathematical foundations of the method, its application to evaluate investment portfolios, as well as the use of the Black-Scholes model to evaluate the value of derivative financial instruments. An example of using the method to analyze the impact of random macroeconomic events on an investor's portfolio is given. The advantages of the method, its accuracy and computational complexity, as well as its role in modern automated trading systems are disc
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KENIG, EDUARD, and ANGELA SECRIERU. "REGIONAL FINANCIAL INTEGRATION – A SOLUTION TO STREAMLINE THE FINANCIAL SYSTEM OF THE REPUBLIC OF MOLDOVA." In COMPETITIVENESS AND INNOVATION IN THE KNOWLEDGE ECONOMY. Editura ASE, 2025. https://doi.org/10.24818/cike2024.44.

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The financial system in the Republic of Moldova does not have the potential to generate economies of scale. Consequently, the financial products and services provided are characterized by limited diversification, insufficient volume and high costs. Under these circumstances, one of the solutions that can help to overcome this impediment is Moldova’s financial integration at regional level. In the context of this research the authors have set the following objectives: to define the concept of regional financial integration; to identify and argue the benefits and negative effects of the process
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Bojanić, Ranko, Marko Jović, and Ivana Popović. "ARTIFICIAL INTELLIGENCE AND FINANCIAL MODELLING." In INTERNATIONAL Conference on Business, Management, and Economics Engineering Future-BME. Faculty of Technical Sciences, Novi Sad, 2025. https://doi.org/10.24867/future-bme-2024-058.

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Predictions suggest that artificial intelligence will lead to the reduction of 300 million jobs in Europe and the US. Accountants are professionals who are most exposed to the potential impact of artificial intelligence on their work. Does this also mean the end for experts in financial modelling? Keeping this in mind, how can those of us involved in financial modelling ensure that we remain relevant in this constantly changing world? The answer lies in those who learn and adapt to changes will continue to thrive. Artificial intelligence brings advantages, not just threats; let's leverage them
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Byeon, Haewon, G. Pandi Selvi, R. Robert, and S. Agalya. "Blockchain technology in financial services: Assessing potential opportunities, identifying risks, and understanding its impact on the future of finance." In INTERNATIONAL CONFERENCE ON MODELLING STRATEGIES IN MATHEMATICS: ICMSM 2024. AIP Publishing, 2025. https://doi.org/10.1063/5.0275939.

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Humber, Jason, Edgar Ivan Cote, Mitch Glass, and Allison Denby. "Fate and Transport Modeling: Quantifying Potential Impacts for Pipeline Integrity and Emergency Response Preparedness." In 2012 9th International Pipeline Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ipc2012-90743.

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Regulations for pipeline operators within the Oil and Gas Pipeline Industry are becoming increasingly rigorous especially in the fields of pipeline integrity and emergency response and as such the need for equally rigorous approaches to analyzing, understanding, managing, and reporting of the effects of a pipeline release has increased. Trans-Northern Pipelines (TNPI) undertook a detailed fate and transport modeling project for its Ontario and Quebec based pipeline systems. These pipeline systems are relatively complex products delivery systems that handle multiple fluids and, for some pipelin
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D Mitchell, Charles, and Samuel Sambasivam. "Predictive Modeling for Identity Theft Detection: A Design Science Approach Using Machine Learning and Historical Data." In InSITE 2025: Informing Science + IT Education Conferences: Hiroshima. Informing Science Institute, 2025. https://doi.org/10.28945/5528.

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Aim/Purpose The proliferation of online banking has led to a significant increase in identity theft and cybercrimes, creating an urgent need to develop more effective predictive models to detect and prevent such fraudulent activities using advanced technological approaches. Background This study addresses the critical gap in the existing literature by exploring how historical identity theft victim data can be leveraged through supervised ma-chine learning to create a comprehensive prediction model for identifying and preventing future identity theft incidents. Methodology A design science quan
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Molina, Oscar Mauricio, Camilo Mejia, Mayank Tyagi, Felipe Medellin, Hani Elshahawi, and Kumar Sujatha. "Geothermal Production from Existing Oil and Gas Wells: A Sustainable Repurposing Model." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207801-ms.

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Abstract The geothermal energy industry has never quite realized its true potential despite the seemingly magical promise of nonstop, 24/7 renewable energy sitting just below the surface of the Earth. In this paper, we discuss an integrated cloud-based workflow aimed at evaluating the cost-effectiveness of adopting geothermal production in low to medium enthalpy systems by either repurposing existing oil and gas wells or by co-producing thermal and fossil energy. The workflow introduces an automated and intrinsically secure decision-making process to convert mature oil and gas wells into geoth
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M, Parvathy S., Sai Niveditha M. G, and Apoorva Krishna. "Life Cycle Cost Analysis of Pavement Using BIM: Review." In 6th International Conference on Modeling and Simulation in Civil Engineering. AIJR Publisher, 2023. http://dx.doi.org/10.21467/proceedings.156.11.

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The methodology of Life Cycle Cost Analysis (LCCA) for road pavements and proposes the integration of Building Information Modeling (BIM) to enhance the analysis process. LCCA involves estimating the total cost of a project by considering initial construction costs, operational expenses, and maintenance costs. To minimize the life cycle cost of pavements, it is crucial to address the original cost alongside the requirements for pavement preventive maintenance. The study highlights the utilization of Economic and Sensitivity Analysis to examine LCCA results using key financial indicators such a
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Reports on the topic "Modeling of financial potential"

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Latorre, Lucía, Ignacio Cerrato, and Lorenzo De Leo. Tech Report: Quantum Technology. Inter-American Development Bank, 2025. https://doi.org/10.18235/0013401.

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At the heart of quantum computing is the quantum bit or qubit, a quantum analog of the classical bit, which can exist in multiple states simultaneously due to a phenomenon known as superposition. This unique ability enables quantum computers to perform parallel computations, significantly enhancing their processing power for certain types of problems. Quantum computing has the potential to drive breakthroughs across various industries, from drug discovery and material science to cryptography and financial modeling.
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Alonso-Robisco, Andres, Jose Manuel Carbo, Emily Kormanyos, and Elena Triebskorn. Houston, we have a problem: can satellite information bridge the climate-related data gap? Banco de España, 2024. http://dx.doi.org/10.53479/37572.

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Central banks and international supervisors have identified the difficulty of obtaining climate information as one of the key obstacles to the development of green financial products and markets. To bridge this data gap, the use of satellite information from Earth Observation (EO) systems may be necessary. To better understand this process, we analyse the potential of applying satellite data to green finance. First, we summarise the policy debate from a central banking perspective. We then briefly describe the main challenges for economists in dealing with the EO data format and quantitative m
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Stadnyk, Vаlentyna, Pavlo Izhevskiy, Nila Khrushch, Sergii Lysenko, Galyna Sokoliuk, and Tetjana Tomalja. Strategic priorities of innovation and investment development of the Ukraine's economy industrial sector. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4471.

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The problem of determining the investment priorities of the national economy development has been actuated. It has been argued that the formation of institutional preferences for activation of industry investment processes should be carried out taking into account the potential ability of each sectoral group enterprises to increase the added value. The scientific and methodical approach for sub-sectors investment attractiveness assessment has been formed on the example of the Ukrainian food industry. It has been recommended to use for this substantiated set of relative performance indexes whic
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Cockerline, Jon, John Helliwell, and Robert Lafrance. Multicountry Modeling of Financial Markets. National Bureau of Economic Research, 1988. http://dx.doi.org/10.3386/w2736.

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Hayward, N., V. Tschirhart, R. Enkin, J. Craven, and L. Corriveau. GBMZ - potential field modeling. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329095.

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Soloviev, V., A. Matviychuk, and A. Bielinskyi. Econophysics Approaches in Financial Market Modeling. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/6071.

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Moreda, Fekadu, Benjamin Lord, Mauro Nalesso, Pedro Coli Valdes Daussa, and Juliana Corrales. Hydro-BID: New Functionalities (Reservoir, Sediment and Groundwater Simulation Modules). Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0009312.

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The Inter-American Development Bank (IDB) provides financial and technicalsupport for infrastructure projects in water and sanitation, irrigation, flood control, transport, and energy, and for development projects in agriculture, urban systems, and natural resources. Many of these projects depend upon water resources and may be affected negatively by climate change and other developments that alter water availability, such as population growth and shifts in land use associated with urbanization, industrial growth, and agricultural practices. Assessing the potential for future changes in water
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Alonso-Robisco, Andrés, José Manuel Carbó, and José Manuel Carbó. Machine Learning methods in climate finance: a systematic review. Banco de España, 2023. http://dx.doi.org/10.53479/29594.

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Preventing the materialization of climate change is one of the main challenges of our time. The involvement of the financial sector is a fundamental pillar in this task, which has led to the emergence of a new field in the literature, climate finance. In turn, the use of Machine Learning (ML) as a tool to analyze climate finance is on the rise, due to the need to use big data to collect new climate-related information and model complex non-linear relationships. Considering the proliferation of articles in this field, and the potential for the use of ML, we propose a review of the academic lite
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Aït-Sahalia, Yacine, Julio Cacho-Diaz, and Roger J. A. Laeven. Modeling Financial Contagion Using Mutually Exciting Jump Processes. National Bureau of Economic Research, 2010. http://dx.doi.org/10.3386/w15850.

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Kane, Edward. Financial Safety Nets: Reconstructing and Modeling a Policymaking Metaphor. National Bureau of Economic Research, 2001. http://dx.doi.org/10.3386/w8224.

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