Academic literature on the topic 'Financial stability risk assessment map'

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Journal articles on the topic "Financial stability risk assessment map"

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Kumar, Suresh. "Stability Mapping for Risk Management in Banking Companies." Ushus Journal of Business Management 21, no. 1 (2022): 67–78. http://dx.doi.org/10.12725/ujbm.58.4.

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challenging task for most banks. Numerous approaches are used to assess financial stability to determine the operation of the banks under stress conditions and to identify the indicators that affect the financial developments of the system. The relationship between the macroeconomic variables and financial markets can be assessed by performing stability mapping. Risk management can be performed by accurate identification of stability indicators, appropriate assessment of deterioration in asset quality, and other economic aspects. Financial stability reports (FSRs) and heat maps are used in sev
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Geršl, Adam, Pervin Dadashova, Yuliya Bazhenova, Vladyslav Filatov, Anatolii Hlazunov, and Roman Soltysiak. "A Heatmap for Monitoring Systemic Financial Stability Risks in Ukraine." Visnyk of the National Bank of Ukraine, no. 253 (June 30, 2022): 27–46. http://dx.doi.org/10.26531/vnbu2022.253.02.

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This study presents an updated risk map of the Ukrainian financial sector – an analytical tool for identifying and monitoring the buildup and materialization of systemic risks. The risk map methodology that the National Bank of Ukraine used until 2021 has been revised to ensure that risk assessment is based on reliable quantitative indicators rather than expert judgements, as well as to extend the list of risks considered. The instrument allows the stability of the financial system to be assessed across key risks, such as macroeconomic risk, the credit risks of households and non-financial cor
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Drobyazko, Svetlana, Anna Barwinska-Malajowicz, Boguslaw Slusarczyk, Olga Chubukova, and Taliat Bielialov. "Risk Management in the System of Financial Stability of the Service Enterprise." Journal of Risk and Financial Management 13, no. 12 (2020): 300. http://dx.doi.org/10.3390/jrfm13120300.

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The article is devoted to the theoretical substantiation and development of methodological approaches and practical recommendations for modeling the assessment of the financial stability of a service sector enterprise. To assess the financial condition of the hotel industry, a visual interpretation of the neural network, a model of self-organizing Kohonen map, was used. It is proven that by the method of Kohonen maps for each service provided by the hotel industry, in a certain period of activity, it is possible to establish certain objective limitations of structural characteristics that will
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Boiko M. O. and Gevrek Yu. S. "PROBLEMATIC ASPECTS OF FINANCIAL RISK ASSESSMENT METHODOLOGY IN STEVEDORING COMPANIES." World Science 1, no. 12(52) (2019): 32–38. http://dx.doi.org/10.31435/rsglobal_ws/30122019/6828.

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 The study is dedicated to identification of problematic aspects of financial risk assessment methodology on the example of stevedoring companies. In research established the list of issues for improvement the methodology of financial risk assessment both in theoretical and practical aspects. Formulated industry features of the stevedoring companies’ activity, relevant factors from the perspective of financial risk impact on results of activity, among which are distinguished: loss of net sales, exchange rate instability and decrease of financial stability. It was found that
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Glushchenko, A. V., E. N. Samedova, and V. A. Temnikov. "A company's financial risk assessment and management: The practical aspects of implementation for small and medium-sized businesses." International Accounting 23, no. 6 (2020): 643–66. http://dx.doi.org/10.24891/ia.23.6.643.

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Subject. This article deals with the issues of financial risk assessment and management of economic entities. It also considers the application and implementation of risk assessment techniques by small and medium-sized enterprises. Objectives. The article aims to develop applied aspects of the original methodology of stepwise assessment of a company's total financial risk using mild conditions of software maintenance. Methods. For the study, we used the methods of SWOT and scenario analyses, scoring, expert assessment, index numbers and ratio analysis methods, and the tabular, graphical, finan
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Boscia, Vittorio, Valeria Stefanelli, and Marco Trinchera. "Fintech & Risks. A Bibliometric Analysis." Risk Management Magazine 16, no. 2 (2021): 68–74. http://dx.doi.org/10.47473/2020rmm0091.

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Our study highlights a literature map on Fintech and the risks associated with this technological innovation in the financial sector. Considering all the studies published from 2014 to 2021 in "Scopus", we resort to econometric techniques to create our map. Our results show the recent attention of academics and researchers, mainly belonging to the technological and IT areas, towards Fintech. In particular, the studies focus on the issue of emerging technologies applied to investment and credit processes linked to the assessment of customer insolvency risk. For this reason, the existing analyze
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Ziolo, Filipiak, Bąk, and Cheba. "How to Design More Sustainable Financial Systems: The Roles of Environmental, Social, and Governance Factors in the Decision-Making Process." Sustainability 11, no. 20 (2019): 5604. http://dx.doi.org/10.3390/su11205604.

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A literature review showed that finance is a driver of sustainability. However, to achieve sustainability through finance, it is necessary to rebuild and adapt the financial system to the specifics of sustainable development. Modern financial systems can be described as one-dimensional, focusing on ensuring the economic security of transactions. Meanwhile, the growing role of risk related to non-financial factors means that the factors referred to as ESG (environmental, social, governance) become the main source threatening the stability of financial systems. Adaptation activities toward the d
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Gospodarchuk, Galina, and Ekaterina Suchkova. "Financial stability: problems of inter-level and cross-sectoral equilibrium." Equilibrium 14, no. 1 (2019): 53–79. http://dx.doi.org/10.24136/eq.2019.003.

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Research background: As part of the creation of an effective mechanism for managing financial stability, the tasks of providing an inter-level and cross-sectoral financial equilibrium remain unresolved. So far, clear and unambiguous criteria for financial stability have not been formulated, with which monetary and prudential policies could be related, as well as measures to minimize systemic and individual risks. The problem of creating a system of indicators comes to the fore, allowing the creation of new effective instruments for regulation of financial flows that contribute to the preventio
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Li, Yiming, and Yanqin Shi. "Credit Evaluation System Based on FICO." Applied and Computational Engineering 96, no. 1 (2024): 48–55. http://dx.doi.org/10.54254/2755-2721/2024.17854.

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Abstract. As credit transactions become more prevalent, financial institutions require effective methods to assess credit risk and reduce the likelihood of borrower default. In the U.S., the Fair Isaac Credit Organization (FICO) score is widely used by banks and insurers to evaluate personal creditworthiness. This paper aims to develop an automated credit scoring tool based on the FICO system to help financial institutions improve risk assessment. The paper leverages the random forest algorithm for data preprocessing and feature engineering to extract key variables, such as the borrower's fina
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Yasinovska, Iryna F., and Liubov M. Sheremeta. "Banking Risk Management During the Wartime." Business Inform 11, no. 562 (2024): 237–46. https://doi.org/10.32983/2222-4459-2024-11-237-246.

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The article is devoted to the study of the features of bank risk management. It is determined that domestic banks must be ready to operate in conditions of constant instability, where effective risk management becomes a key factor for survival and development in the face of growing threats. It is emphasized that improving the risk management system under martial law is an extremely important process that will contribute to the stability of the banking sector. Based on the analysis of the risk map of the Ukrainian financial sector during 2021–2024, there has been an increase in risks since the
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Dissertations / Theses on the topic "Financial stability risk assessment map"

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Маринич, Тетяна Олександрівна, Татьяна Александровна Маринич та Tetiana Oleksandrivna Marynych. "Валютна політика в системі забезпечення фінансової стабільності економіки". Thesis, Українська академія банківської справи Національного банку України, 2014. http://essuir.sumdu.edu.ua/handle/123456789/51529.

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У дисертаційній роботі обґрунтовано науково-методичні підходи та практичні аспекти реалізації механізму валютної політики в умовах посилення фінансової нестабільності в країні та світі. Встановлено місце і роль валютної політики в системі забезпечення фінансової стабільності економіки в контексті її взаємозв’язку із грошово-кредитним та макропруденційним регулюванням. Удосконалено періодизацію валютної політики Національного банку України, що включає оцінку економічних передумов, цілей, інструментів та наслідків для економіки. На підставі розробленої карти оцінювання ризиків фінансової стабіль
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Books on the topic "Financial stability risk assessment map"

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Mishchenko, Aleksandr, and Elena Miheeva. Methods of assessment of efficiency of management of production and financial activity of the enterprise. INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/monography_5d1ae60d82d6d9.87533425.

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The proposed book describes the static and dynamic models of optimization of production and financial activities of the enterprise in the conditions of deterministic source data, and taking into account the uncertainty and risk. In the latter case, when choosing a management decision, not only the amount of expected profit, but also various types of risks, as well as such an indicator as the stability of the selected option of production and economic activity to changes in the market environment, are taken into account.
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International Monetary Fund. Monetary and Capital Markets Department. Georgia: Financial System Stability Assessment. International Monetary Fund, 2014.

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Ramlall, Indranarain. Tools and Techniques for Financial Stability Analysis. Emerald Publishing Limited, 2018.

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Maino, Rodolfo, and Daniela Marchettini. Systemic Risk Assessment in Low Income Countries: Balancing Financial Stability and Development. International Monetary Fund, 2015.

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Maino, Rodolfo, and Daniela Marchettini. Systemic Risk Assessment in Low Income Countries: Balancing Financial Stability and Development. International Monetary Fund, 2015.

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Maino, Rodolfo, and Daniela Marchettini. Systemic Risk Assessment in Low Income Countries: Balancing Financial Stability and Development. International Monetary Fund, 2015.

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Ramlall, Indranarain. Tools and Techniques for Financial Stability Analysis. Emerald Publishing Limited, 2018.

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Tools and Techniques for Financial Stability Analysis. Emerald Publishing Limited, 2018.

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International Monetary Fund. Monetary and Capital Markets Department. Belgium: Financial System Stability Assessment-Technical Note- Stress Testing the Banking and Insurance Sectors and Systemic Risk Analysis. International Monetary Fund, 2018.

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International Monetary Fund. Monetary and Capital Markets Department. Belgium: Financial System Stability Assessment-Technical Note- Stress Testing the Banking and Insurance Sectors and Systemic Risk Analysis. International Monetary Fund, 2018.

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Book chapters on the topic "Financial stability risk assessment map"

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Sarlin, Peter. "Self-Organizing Financial Stability Map." In Computational Risk Management. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54956-4_7.

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Makarov, S. I., M. A. Boldyrev, and M. A. Lukianov. "Financial Stability Model for Assessment of Non-fulfillment Risk of Financial Obligations." In Lecture Notes in Civil Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-67372-6_57.

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Pampurini, Francesca, and Anna Grazia Quaranta. "Measuring Systemic Risk: A Review of the Main Approaches." In New Economic Windows. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-64916-5_11.

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AbstractScholars, Regulatory and Supervisory Authorities have always been engaged in the search for efficient approaches to measuring systemic risk. Such procedures are extremely useful, first and foremost, in understanding and managing the stability and resilience of a financial-economic system as a whole, in forecasting possible crisis situations, and in implementing effective macro-prudential policies in response to the turbulence that can be generated by systemic risk in the financial system. Actually, over time, different approaches to measuring systemic risk have been defined. Undoubtedl
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Vorkut, Tetiana, Lyudmila Volynets, Iryna Gorobinska, and Yurii Lushchai. "Methodological approach to two-component assessment of sustainability in organizations and organizational networks and strategic-oriented management of their development." In STRATEGIC-ORIENTED MANAGEMENT OF THE TRANSPORT INDUSTRY: LOGISTICS APPROACHES, INNOVATIVE SOLUTIONS AND MANAGEMENT MODELS. TECHNOLOGY CENTER PC, 2025. https://doi.org/10.15587/978-617-8360-14-6.ch2.

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The object of the study is to assess the financial stability and readiness of logistics activities in organizations for development. The proposed two-component methodological approach makes it possible to optimize the assessment of the readiness of organizations for development based on determining a sufficient level of investment, on the one hand, and a balanced level of activity costs, on the other. Thus, for the first component, it is proposed to use an integral indicator of investment adequacy, the calculation method of which is based on combining the dependencies between the volumes of ca
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Dyriavko, Oleh. "MODELS AND SOFTWARE TOOLS FOR FORECASTING AND MANAGING FINANCIAL RISKS." In Science, technology and innovation in the context of global transformation. Publishing House “Baltija Publishing”, 2024. https://doi.org/10.30525/978-9934-26-499-3-8.

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The section presents modern models and software tools for analysis, forecasting and management of financial risks. Mathematical approaches such as regression analysis, time series models (ARIMA, GARCH), scenario analysis, stress testing and portfolio optimization using the Markowitz model are considered. Special attention is paid to machine learning methods, including Random Forest, Gradient Boosting and neural networks, which provide high accuracy of forecasts and detection of hidden dependencies in data. The use of modular and microservice architectures is proposed for the development of sys
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Sunirand, Pojanart. "A Risk Assessment Model For Banks." In The Challenge of Financial Stability. Edward Elgar Publishing, 2012. http://dx.doi.org/10.4337/9781035305612.00016.

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Martinez-Jaramillo, Serafin, Jose Luis Molina-Borboa, and Bernardo Bravo-Benitez. "The role of Financial Market Infrastructures in Financial Stability." In Risk and Contingency Management. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3932-2.ch014.

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Financial Market Infrastructures (FMIs) are essential for the well-functioning of the financial system, as they play a central role in facilitating clearance and settlement of financial transactions such as payments, securities, and derivatives contracts. Nowadays, it is widely acknowledged that the proper functioning of systemically important FMIs is also vital to maintain financial stability; their failure for solvency reasons or operational disruptions could almost certainly lead to systemic instability. As a consequence, the adequate supervision of FMIs is inherent to the function of prese
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Ramlall, Indranarain. "A Framework for Financial Stability Risk Assessment in Banks." In The Banking Sector Under Financial Stability. Emerald Publishing Limited, 2018. http://dx.doi.org/10.1108/978-1-78769-681-520181003.

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James Oguntuase, Oluwaseun. "Climate Change, Credit Risk and Financial Stability." In Banking and Finance. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.93304.

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Climate change is one of the greatest global challenges, posing an unprecedented challenge to the governance of global socioeconomic and financial systems. This chapter examines the climate change science and uncertainties associated with climate change, while identifying and explaining climate-related risks, the financial aspect of climate change, credit implications of climate change, integration of climate-related risks into credit risk assessment, and climate risk management. The chapter pays special attention to the triangular relationship between the three notions of climate-related risk
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Andrae, Silvio. "Artificial Intelligence and Financial Stability." In Advances in Finance, Accounting, and Economics. IGI Global, 2025. https://doi.org/10.4018/979-8-3693-7036-0.ch005.

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The financial system is rapidly expanding and becoming more interconnected in the digital age. It is moving at an ever-increasing speed and growing in complexity, presenting myriad challenges. The widespread use of artificial intelligence (AI) is driving significant improvements in the efficiency of financial services. However, examining whether this progress comes at the expense of financial stability or creative destruction is crucial. The chapter delves into the conceptual challenges of using AI and identifies the transmission channels that can lead to systemic risks. A simple model is pres
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Conference papers on the topic "Financial stability risk assessment map"

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Gasparovic, Iva, Mateo Gasparovic, Filip Radic, and Mario Uros. "AUTOMATIC URBANISATION MONITORING FOR RISK ASSESSMENT BY REMOTE SENSING AND COPERNICUS DATA � A PRELIMINARY RESEARCH." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024v/4.2/s19.33.

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Rapid urbanization increases the vulnerability of cities to natural hazards, especially earthquakes, as unplanned growth can aggravate structural risks and strain infrastructure. This research is based on a project �Automatic urbanization monitoring for risk assessment by remote sensing and Copernicus data� which aims to improve the detection of urban growth patterns and identify areas with increased seismic vulnerability. This project�s main goal is to develop and test a prototype for automatic urbanization monitoring for risk assessment aided by remote sensing and Copernicus data for fast an
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SUVOROVA, IULIA. "MANAGING THE RISK OF DECREASING FINANCIAL STABILITY." In COMPETITIVENESS AND INNOVATION IN THE KNOWLEDGE ECONOMY. Editura ASE, 2025. https://doi.org/10.24818/cike2024.52.

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This article discusses the issues of assessing the risk of reducing the financial stability of an enterprise, analyzes the content of this type of risk, and proposes the stages of its assessment. The results of calculations and analysis of the risk of reducing financial stability depend on the presence or absence of distortions in the financial statements. Based on the study, enterprise operations were identified that could lead to a deterioration in the balance sheet structure and a decrease in financial stability. The proposed stages of assessing the risk of a decrease in financial stability
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Pu, Na. "Application of Fuzzy Influence Map Evaluation Algorithm in Supply Chain Financial Credit Risk Assessment." In 2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON). IEEE, 2023. http://dx.doi.org/10.1109/smartgencon60755.2023.10442212.

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KUZIOR, Aleksandra. "Optimizing Financial Market Stability through AI-Based Risk Management." In Terotechnology XIII. Materials Research Forum LLC, 2024. http://dx.doi.org/10.21741/9781644903315-26.

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Abstract. This study examines the impact of AI-based risk management on financial market stability, utilizing both econometric analysis and real-world case studies. The research focuses on financial institutions such as JPMorgan Chase, Goldman Sachs, BlackRock, and others that have successfully implemented Artificial intelligence (AI) algorithms to analyze market trends and trading patterns, leading to more informed investment decisions and better overall portfolio performance. The econometric analysis reveals a positive and statistically significant relationship between AI-based risk manageme
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Lapitkaia, Liudmila. "Risk assessment and hedging as the basis of financial security of the." In Economic Security in the Context of Systemic Transformations, 3rd Edition. Academy of Economic Studies of Moldova, 2024. http://dx.doi.org/10.53486/escst2023.12.

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Financial security is the basis for the effective development of any economic agent; it is especially important for enterprises, since their financial security underlies the security of both households and the state. This article examines the risks that can lead to the loss of the financial security of an enterprise, which the author classified into: general economic, industry- specific and risks of a particular enterprise. Hedging financial security risks will be most effective if the management of the enterprise evaluates the risks, using the classification proposed by the author. The financ
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Lu, Zhaoyuan, Taijun Li, Jingzhen Zhang, et al. "RisQNet: Rescuing SMEs from Financial Shocks with a Novel Networked-Loan Risk Assessment." In Thirty-Third International Joint Conference on Artificial Intelligence {IJCAI-24}. International Joint Conferences on Artificial Intelligence Organization, 2024. http://dx.doi.org/10.24963/ijcai.2024/817.

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In the face of economic downturns, Small and Medium-sized Enterprises (SMEs) within interconnected networked-loans are vulnerable to cascading debt crises, exacerbated by factors like social media-induced financial shocks. Traditional risk assessment models, which mainly rely on financial data, inadequately predict such crises, as evidenced by the collapse of Silicon Valley Bank in 2023. To address this issue, we developed RisQNet, a model that uses temporal graph networks to incorporate diverse risks, including real-time media influences. This approach not only advances risk prediction throug
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Bychkov, Nikolai Aleksandrovich, and Galina Vladimirovna Khatkevich. "ASSESSMENT OF THE RISK OF BANKRUPTCY OF AGRICULTURAL INDUSTRIAL ORGANIZATIONS: RATIOS AND CRITERIA IN THE REPUBLIC OF BELARUS." In Themed collection of papers from Foreign International Scientific Conference «Modern research on the way to a new scientific revolution». Part 1. by HNRI «National development» in cooperation with AFP (Puerto Cabezas, Nicaragua). November 2023. – Varadero (Cuba). Crossref, 2024. http://dx.doi.org/10.37539/231128.2023.96.97.036.

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Assessing the risk of bankruptcy of business entities is an important element of financial analysis. The indicators and criteria introduced from 1.10.2023 in the Republic of Belarus will make it possible to determine the degree of bankruptcy risk and take measures to ensure the financial stability of organizations, to choose the necessary procedure in the bankruptcy case.
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Lukić, Marija, Tatjana Piljan, and Aleksandra Golubović-Stojanović. "The role of the actuary in risk management: How actuarial science contributes to the precise assessment of risks and insurance premiums." In Employment, Education and Entrepreneurship 2024. Faculty of Business Economics and Entrepreneurship, 2024. https://doi.org/10.5937/eee24041l.

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In today's business environment, risk management is becoming increasingly important due to the increased complexity and uncertainty in global financial markets. Actuaries, as experts in mathematics, statistics and finance, have a key role in this process. This paper explores the role of actuaries in the identification, assessment and management of different types of risk. Special emphasis is placed on quantitative methods and techniques that actuaries use to predict future events and their financial consequences. Concrete examples from practice, including insurance companies, pension funds and
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Granitsa, Yulia. "Assessment of factors of regional economic stability using the XGBoost algorithm." In Human resource management within the framework of realisation of national development goals and strategic objectives. Dela Press Publishing House, 2022. http://dx.doi.org/10.56199/dpcsebm.tyht8227.

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In modern conditions, the regions of Russia acquire a special role and are evaluated as independent economic entities. In a pandemic, the key factor for successful development at the meso-level is not so much the growth of well-being, the quality of life, but the preservation of the stability of economic systems, their ability to withstand external influences. Thus, in our study, we equate the economic stability and economic security of the regions. To assess economic stability, it is advisable, in our opinion, to use a group of indicators characterising resource provision, investment climate
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Golovco, Maria, and Adela Socol. "The importance and role of external financial audit and maintaining the financial stability of companies listed on the bucharest stock exchange (main category of the regulated market)." In International student scientific conference, ISSC 2025 "Challenges of accounting for young researchers", 9th Edition. Academy of Economic Studies, 2025. https://doi.org/10.53486/issc2025.34.

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This paper explores the role and importance of the auditor's opinion in influencing investment decisions on the stock exchange. Through an in-depth analysis of financial reports and investor behavior, the research highlights how an independent auditor's assessment impacts investor confidence, risk perception, and decision-making processes. The study emphasizes that a transparent and well-founded audit opinion serves as a crucial factor in maintaining market
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Reports on the topic "Financial stability risk assessment map"

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Alves, Pana, Carmen Broto, María Gil, and Matías Lamas. Risk and vulnerability indicators for the spanish housing market. Banco de España, 2023. http://dx.doi.org/10.53479/36275.

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The residential real estate market has a significant weight in the Spanish economy and its performance is closely linked to that of the financial cycle. In addition, as evidenced by the real estate crisis that began in Spain in 2008, the risks generated in this sector have important implications for financial stability. The development of a framework for the early identification of risks in this market is therefore key. This article presents two complementary tools to meet this objective. The first is a heat map that provides a visual interpretation of risk levels in this market for a wide sel
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Gómez-Pineda, Javier G., Andrés Murcia, Wilmar Alexander Cabrera-Rodríguez, Hernando Vargas-Herrera, and Leonardo Villar-Gómez. The monetary and macroprudential policy framework in Colombia in the last 30 years: the lessons learnt and the challenges for the future. Banco de la República, 2023. http://dx.doi.org/10.32468/be.1238.

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Over the past 30 years, monetary and macroprudential policy in Colombia evolved towards the pursuit of a low and credible inflation target and a stable financial system. The protracted inflation that began in the early seventies was defeated at the turn of the century with the help of the new framework for monetary policy formulation, inflation targeting. In the field of macroprudential policy, the financial crisis of the late nineties led to important institutional developments in the formulation and coordination of macroprudential policy, as well as in the assessment of systemic risk. Along
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Financial Stability Report - First Semester of 2020. Banco de la República de Colombia, 2021. http://dx.doi.org/10.32468/rept-estab-fin.1sem.eng-2020.

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In the face of the multiple shocks currently experienced by the domestic economy (resulting from the drop in oil prices and the appearance of a global pandemic), the Colombian financial system is in a position of sound solvency and adequate liquidity. At the same time, credit quality has been recovering and the exposure of credit institutions to firms with currency mismatches has declined relative to previous episodes of sudden drops in oil prices. These trends are reflected in the recent fading of red and blue tonalities in the performance and credit risk segments of the risk heatmaps in Grap
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