Results for 'credit risk modeling'

973 found
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  1. Credit Risk Modeling Using Default Models: A Review.George Jumbe & Ravi Gor - 2022 - IOSR Journal of Economics and Finance 13 (3):28-39.
    Credit risk, also known as default risk, is the likelihood of a corporation losing money if a business partner defaults. If the liabilities are not met under the terms of the contract, the firm may default, resulting in the loss of the company. There is no clear way to distinguish between organizations that will default and those that will not prior to default. We can only make probabilistic estimations of the risk of default at best. There (...)
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  2. The Impact of Default Dependency and Collateralization on Asset Pricing and Credit Risk Modeling.Tim Xiao - manuscript
    This article presents a comprehensive framework for valuing financial instruments subject to credit risk. In particular, we focus on the impact of default dependence on asset pricing, as correlated default risk is one of the most pervasive threats in financial markets. We analyze how swap rates are affected by bilateral counterparty credit risk, and how CDS spreads depend on the trilateral credit risk of the buyer, seller, and reference entity in a contract. Moreover, (...)
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  3. Is the Jump-Diffusion Model a Good Solution for Credit Risk Modeling? The Case of Convertible Bonds.Tim Xiao - 2015 - International Journal of Financial Markets and Derivatives 4 (1):1-25.
    This paper argues that the reduced-form jump diffusion model may not be appropriate for credit risk modeling. To correctly value hybrid defaultable financial instruments, e.g., convertible bonds, we present a new framework that relies on the probability distribution of a default jump rather than the default jump itself, as the default jump is usually inaccessible. As such, the model can back out the market prices of convertible bonds. A prevailing belief in the market is that convertible arbitrage (...)
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  4. The Valuation of Credit Default Swap with Counterparty Risk and Collateralization.Tim Xiao - manuscript
    This article presents a new model for valuing a credit default swap (CDS) contract that is affected by multiple credit risks of the buyer, seller and reference entity. We show that default dependency has a significant impact on asset pricing. In fact, correlated default risk is one of the most pervasive threats in financial markets. We also show that a fully collateralized CDS is not equivalent to a risk-free one. In other words, full collateralization cannot eliminate (...)
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  5. An Accurate Solution for Credit Valuation Adjustment (CVA) and Wrong Way Risk.Tim Xiao - 2015 - Journal of Fixed Incom 25 (1):84-95.
    This paper presents a Least Square Monte Carlo approach for accurately calculating credit value adjustment (CVA). In contrast to previous studies, the model relies on the probability distribution of a default time/jump rather than the default time itself, as the default time is usually inaccessible. As such, the model can achieve a high order of accuracy with a relatively easy implementation. We find that the valuation of a defaultable derivative is normally determined via backward induction when their payoffs could (...)
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  6. Reputation risks, value of losses and financial sustainability of commercial banks.Natalia Kunitsyna, Igor Britchenko & Igor Kunitsyn - 2018 - Entrepreneurship and Sustainability Issues 5 (4):943-955.
    Currently, under the conditions of permanent financial risks that hamper the sustainable economic growth in the financial sector, the development of evaluation and risk management methods both regulated by Basel II and III and others seem to be of special importance. The reputation risk is one of significant risks affecting reliability and credibility of commercial banks. The importance of reputation risk management and the quality of their assessment remain relevant as the probability of decrease in or loss (...)
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    Transforming Industries: The Role of Generative AI in Revolutionizing Banking and Healthcare.M. Selvaprasanth - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):580-600.
    The research evaluates generative AI’s capabilities through a multi-phase framework, addressing how data synthesis, language models, and predictive algorithms contribute to sector-specific applications. In banking, the model assesses the impact of AI-driven chatbot interactions, credit risk assessment, and personalized financial services on customer experience and bank performance. Healthcare applications are explored through image synthesis for diagnostics, predictive modeling in patient care, and drug discovery simulations. The experimental setup is rigorously tested across metrics such as response accuracy, cost-effectiveness, (...)
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  8. CREDIT RISK ASSESSMENT USING DEFAULT MODELS: A REVIEW.George Jumbe & Ravi Gor - 2022 - Vidya – a Journal of Gujarat University 1 (2):1-14.
    Credit risk, also known as default risk, is the likelihood of a corporation losing money if a business partner defaults. If the liabilities are not met under the terms of the contract, the firm may default, resulting in the loss of the company. There is no clear way to distinguish between organizations that will default and those that will not prior to default. We can only make probabilistic estimations of the risk of default at best. There (...)
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  9. A Merton Model of Credit Risk with Jumps.Hoang Thi Phuong Thao & Quan-Hoang Vuong - 2015 - Journal of Statistics Applications and Probability Letters 2 (2):97-103.
    In this note, we consider a Merton model for default risk, where the firm’s value is driven by a Brownian motion and a compound Poisson process.
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  10. Pricing Financial Derivatives Subject to Multilateral Credit Risk and Collateralization.Tim Xiao - manuscript
    This article presents a new model for valuing financial contracts subject to credit risk and collateralization. Examples include the valuation of a credit default swap (CDS) contract that is affected by the trilateral credit risk of the buyer, seller and reference entity. We show that default dependency has a significant impact on asset pricing. In fact, correlated default risk is one of the most pervasive threats in financial markets. We also show that a fully (...)
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  11. Modelling Change in Individual Characteristics: An Axiomatic Framework.Franz Dietrich - 2012 - Games and Economic Behavior 76 (5):471-94.
    Economic models describe individuals in terms of underlying characteristics, such as taste for some good, sympathy level for another player, time discount rate, risk attitude, and so on. In real life, such characteristics change through experiences: taste for Mozart changes through listening to it, sympathy for another player through observing his moves, and so on. Models typically ignore change, not just for simplicity but also because it is unclear how to incorporate change. I introduce a general axiomatic framework for (...)
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  12. A Simple and Precise Method for Pricing Convertible Bond with Credit Risk.Tim Xiao - 2013 - Journal of Derivatives and Hedge Funds 19 (4):259-277.
    This paper presents a new model for valuing hybrid defaultable financial instruments, such as, convertible bonds. In contrast to previous studies, the model relies on the probability distribution of a default jump rather than the default jump itself, as the default jump is usually inaccessible. As such, the model can back out the market prices of convertible bonds. A prevailing belief in the market is that convertible arbitrage is mainly due to convertible underpricing. Empirically, however, we do not find evidence (...)
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  13. Predictive Modeling of Obesity and Cardiovascular Disease Risk: A Random Forest Approach.Mohammed S. Abu Nasser & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 7 (12):26-38.
    Abstract: This research employs a Random Forest classification model to predict and assess obesity and cardiovascular disease (CVD) risk based on a comprehensive dataset collected from individuals in Mexico, Peru, and Colombia. The dataset comprises 17 attributes, including information on eating habits, physical condition, gender, age, height, and weight. The study focuses on classifying individuals into different health risk categories using machine learning algorithms. Our Random Forest model achieved remarkable performance with an accuracy, F1-score, recall, and precision all (...)
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  14. The Valuation of Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment.Tim Xiao - manuscript
    This article presents a generic model for pricing financial derivatives subject to counterparty credit risk. Both unilateral and bilateral types of credit risks are considered. Our study shows that credit risk should be modeled as American style options in most cases, which require a backward induction valuation. To correct a common mistake in the literature, we emphasize that the market value of a defaultable derivative is actually a risky value rather than a risk-free value. (...)
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  15. Research Habits in Financial Modelling: The Case of Non-normativity of Market Returns in the 1970s and the 1980s.Boudewijn De Bruin & Christian Walter - 2016 - In Ping Chen & Emiliano Ippoliti (eds.), Methods and Finance: A Unifying View on Finance, Mathematics and Philosophy. Cham: Springer. pp. 73-93.
    In this chapter, one considers finance at its very foundations, namely, at the place where assumptions are being made about the ways to measure the two key ingredients of finance: risk and return. It is well known that returns for a large class of assets display a number of stylized facts that cannot be squared with the traditional views of 1960s financial economics (normality and continuity assumptions, i.e. Brownian representation of market dynamics). Despite the empirical counterevidence, normality and continuity (...)
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  16. The credit incentive to be a maverick.Remco Heesen - 2019 - Studies in History and Philosophy of Science Part A 76:5-12.
    There is a commonly made distinction between two types of scientists: risk-taking, trailblazing mavericks and detail-oriented followers. A number of recent papers have discussed the question what a desirable mixture of mavericks and followers looks like. Answering this question is most useful if a scientific community can be steered toward such a desirable mixture. One attractive route is through credit incentives: manipulating rewards so that reward-seeking scientists are likely to form the desired mixture of their own accord. Here (...)
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  17. Credit Score Classification Using Machine Learning.Mosa M. M. Megdad & Samy S. Abu-Naser - 2024 - International Journal of Academic Information Systems Research (IJAISR) 8 (5):1-10.
    Abstract: Ensuring the proactive detection of transaction risks is paramount for financial institutions, particularly in the context of managing credit scores. In this study, we compare different machine learning algorithms to effectively and efficiently. The algorithms used in this study were: MLogisticRegressionCV, ExtraTreeClassifier,LGBMClassifier,AdaBoostClassifier, GradientBoostingClassifier,Perceptron,RandomForestClassifier,KNeighborsClassifier,BaggingClassifier, DecisionTreeClassifier, CalibratedClassifierCV, LabelPropagation, Deep Learning. The dataset was collected from Kaggle depository. It consists of 164 rows and 8 columns. The best classifier with unbalanced dataset was the LogisticRegressionCV. The Accuracy 100.0%, precession 100.0%,Recall100.0% and the (...)
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  18. On the Semantics of Risk Propagation.Mattia Fumagalli, Gal Engelberg, Tiago Prince Sales, Ítalo Oliveira, Dan Klein, Pnina Soffer, Riccardo Baratella & Giancarlo Guizzardi - forthcoming - In Mattia Fumagalli, Gal Engelberg, Tiago Prince Sales, Ítalo Oliveira, Dan Klein, Pnina Soffer, Riccardo Baratella & Giancarlo Guizzardi (eds.), Research Challenges in Information Science - 16th International Conference, RCIS 2023. Springer.
    Risk propagation encompasses a plethora of techniques for analyzing how risk “spreads” in a given system. Albeit commonly used in technical literature, the very notion of risk propagation turns out to be a conceptually imprecise and overloaded one. This might also explain the multitude of modeling solutions that have been proposed in the lit- erature. Having a clear understanding of what exactly risk is, how it be quantified, and in what sense it can be propagated (...)
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  19. Ontology-based security modeling in ArchiMate.Ítalo Oliveira, Tiago Prince Sales, João Paulo A. Almeida, Riccardo Baratella, Mattia Fumagalli & Giancarlo Guizzardi - forthcoming - Software and Systems Modeling.
    Enterprise Risk Management involves the process of identification, evaluation, treatment, and communication regarding risks throughout the enterprise. To support the tasks associated with this process, several frameworks and modeling languages have been proposed, such as the Risk and Security Overlay (RSO) of ArchiMate. An ontological investigation of this artifact would reveal its adequacy, capabilities, and limitations w.r.t. the domain of risk and security. Based on that, a language redesign can be proposed as a refinement. Such analysis (...)
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  20. 'Information as a Condition of Justice in Financial Markets: The Regulation of Credit-Rating Agencies.Boudewijn De Bruin - 2017 - In Lisa Herzog (ed.), Just Financial Markets?: Finance in a Just Society. Oxford University Press. pp. 250-270.
    This chapter argues for deregulation of the credit-rating market. Credit-rating agencies are supposed to contribute to the informational needs of investors trading bonds. They provide ratings of debt issued by corporations and governments, as well as of structured debt instruments (e.g. mortgage-backed securities). As many academics, regulators, and commentators have pointed out, the ratings of structured instruments turned out to be highly inaccurate, and, as a result, they have argued for tighter regulation of the industry. This chapter shows, (...)
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  21. Optimization of commodity stocks enterprise by means of HML-FRM clustering.Igor Britchenko & Maksym Bezpartochnyi - 2020 - Financial and Credit Activity: Problems of Theory and Practice 3 (34(2020)):259-269.
    The article examines the process of formation inventory of the enterprise and determines the optimal volume of commodity resources for sale. A generalization of author’s approaches to the formation and evaluation of inventories of the enterprise is carried out. The marketing-logistic approach was applied for the purpose of distribution groups of commodity resources due to the risk of non-fulfillment the order for the supply of goods of the enterprise. In order to ensure an effective process of commodity provision of (...)
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  22. Forests of gold: carbon credits could be game-changing for Vietnam.Quan-Hoang Vuong & Minh-Hoang Nguyen - 2024 - Land and Climate Review.
    Vietnam’s forests are at risk - carbon offset schemes could be the best chance of saving them, say Dr. Quan-Hoang Vuong and Minh-Hoang Nguyen. The value of forests is deeply ingrained in Vietnamese culture. Rừng vàng, biển bạc” [“forests of gold and seas of silver”] is both a metaphor for Vietnam, and a description of its natural wealth. The phrase is everywhere, from political speeches to daily conversation, as is Nhất phá sơn lâm, nhì đâm hà bá [“the worst (...)
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  23. Ontological Analysis and Redesign of Security Modeling in ArchiMate.Ítalo Oliveira, Tiago Prince Sales, João Paulo A. Almeida, Riccardo Baratella, Mattia Fumagalli & Giancarlo Guizzardi - 2022 - In Ítalo Oliveira, Tiago Prince Sales, João Paulo A. Almeida, Riccardo Baratella, Mattia Fumagalli & Giancarlo Guizzardi (eds.), The Practice of Enterprise Modeling - 15th IFIP WG 8.1 Working Conference, PoEM 2022. Springer. pp. 82-98.
    Enterprise Risk Management and security have become a fundamental part of Enterprise Architecture, so several frameworks and modeling languages have been designed to support the activities associated with these areas. Archi- Mate’s Risk and Security Overlay is one of such proposals, endorsed by The Open Group. We investigate the capabilities of the proposed security-related con- structs in ArchiMate with regard to the necessities of enterprise security modeling. Our analysis relies on a well-founded reference ontology of security (...)
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  24. Conceptual Space Modeling for Space Event Characterization.Jeremy R. Chapman, David Kasmier, David Limbaugh, Stephen R. Gagnon, John L. Crassidis, James Llinas, Barry Smith & Alexander P. Cox - 2020 - IEEE 23rd International Conference on Information Fusion (FUSION).
    This paper provides a method for characterizing space events using the framework of conceptual spaces. We focus specifically on estimating and ranking the likelihood of collisions between space objects. The objective is to design an approach for anticipatory decision support for space operators who can take preventive actions on the basis of assessments of relative risk. To make this possible our approach draws on the fusion of both hard and soft data within a single decision support framework. Contextual data (...)
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  25. Management of business risks of wholesale companies.Igor Kryvovyazyuk - 2023 - Economic Forum 1 (2):81-90.
    This article describes the peculiarities of the formation and modeling of the enterprise risk management system in modern conditions. The main purpose of the research is further development of theoretical and methodical principles and development of practical recommendations aimed at improvement of management of business risks of wholesale enterprises. The critical analysis of literature sources and approaches to solving problems of enterprise risk management testifies to the lack of attention of scientists of the present-day to the investigated (...)
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  26. Environmental Impact of Sustainability Dispersion of Chlorine Releases in Coastal Zone of Alexandra: Spatial-Ecological Modeling.Mohammed El Raey & Moustafa Osman Mohammed - 2024 - International Journal of Environmental and Ecological Engineering 18 (1):21-28.
    The spatial-ecological modeling is relating sustainable dispersions with social development. Sustainability with spatial-ecological model gives attention to urban environments in the design review management to comply with Earth’s system. Naturally exchanged patterns of ecosystems have consistent and periodic cycles to preserve energy flows and materials in Earth’s system. The Probabilistic Risk Assessment (PRA) technique is utilized to assess the safety of an industrial complex. The other analytical approach is the Failure-Safe Mode and Effect Analysis (FMEA) for critical components. (...)
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  27. An Ontology of Security from a Risk Treatment Perspective.Ítalo Oliveira, Tiago Prince Sales, Riccardo Baratella, Mattia Fumagalli & Giancarlo Guizzardi - 2022 - In Ítalo Oliveira, Tiago Prince Sales, Riccardo Baratella, Mattia Fumagalli & Giancarlo Guizzardi (eds.), 41th International Conference, ER 2022, Proceedings. Cham: Springer. pp. 365-379.
    In Risk Management, security issues arise from complex relations among objects and agents, their capabilities and vulnerabilities, the events they are involved in, and the value and risk they ensue to the stakeholders at hand. Further, there are patterns involving these relations that crosscut many domains, ranging from information security to public safety. Understanding and forming a shared conceptualization and vocabulary about these notions and their relations is fundamental for modeling the corresponding scenarios, so that proper security (...)
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  28. The Valuation of Interest Rate Swap with Bilateral Counterparty Risk.Tim Xiao - manuscript
    This paper presents an analytical model for valuing interest rate swaps, subject to bilateral counterparty credit risk. The counterparty defaults are modeled by the reduced-form model as the first jump of a time-inhomogeneous Poisson process. All quantities modeled are market-observable. The closed-form solution gives us a better understanding of the impact of the credit asymmetry on swap value, credit value adjustment, swap rate and swap spread.
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  29. Main characteristics of business models and risk profile of Ukrainian banks.E. Zarutska, Roman Pavlov, Tatyana Pavlova, D. Pawliszczy & B. Kuchmacz - 2020 - Financial and Credit Activity: Problems of Theory and Practice 2 (33):15-22.
    The article investigates the main characteristics of the financial stability of Ukrainian banks, their risk profile, structure of assets, liabilities, income, expenses based on the monthly reporting data for 2004-2020 (number of observations – 3 813). The Kohonen self-organizing map (SOM) toolkit is used to form homogeneous groups of banks based on a large number of financial indicators. The selected toolkit provides a convenient visualization of the results. Each bank occupies a specific place on the SOM. The close location (...)
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  30. Greenwash and Green Trust: The Mediation Effects of Green Consumer Confusion and Green Perceived Risk[REVIEW]Yu-Shan Chen & Ching-Hsun Chang - 2013 - Journal of Business Ethics 114 (3):489-500.
    The paper explores the influence of greenwash on green trust and discusses the mediation roles of green consumer confusion and green perceived risk. The research object of this study focuses on Taiwanese consumers who have the purchase experience of information and electronics products in Taiwan. This research employs an empirical study by means of the structural equation modeling. The results show that greenwash is negatively related to green trust. Therefore, this study suggests that companies must reduce their greenwash (...)
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  31. A New Model for Pricing Collateralized Financial Derivatives.Tim Xiao - 2017 - Journal of Derivatives 24 (4):8-20.
    This paper presents a new model for pricing OTC derivatives subject to collateralization. It allows for collateral posting adhering to bankruptcy laws. As such, the model can back out the market price of a collateralized contract. This framework is very useful for valuing outstanding derivatives. Using a unique dataset, we find empirical evidence that credit risk alone is not overly important in determining credit-related spreads. Only accounting for both collateral arrangement and credit risk can sufficiently (...)
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  32. The Lending Limits as a Tool to Curb the Credit Cycle: the Case of Vietnam.Dmitry V. Burakov - 2015 - Upravlenets 5 (57):15-23.
    This article discusses the management of cycli- cal dynamics of the credit sphere. Considering the fact that conventional methods of monetary policy proved to be vulnerable to the process of accumula- tion and realization of risk in the credit sector, we aim to study heterodox methods of credit market regula- tion – administrative (direct) methods of control over fluctuations on the credit market. In particular, based on the analysis of credit limits used in the (...)
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  33. 16 The logic of lockdowns: a game of modeling and evidence.Wesley J. Park - 2022 - BMJ Evidence-Based Medicine 27 (Suppl 1):A59.
    Lockdowns, or modern quarantines, involve the use of novel restrictive non-pharmaceutical interventions (NPIs) to suppress the transmission of COVID-19. In this paper, I aim to critically analyze the emerging history and philosophy of lockdowns, with an emphasis on the communication of health evidence and risk for informing policy decisions. I draw a distinction between evidence-based and modeling-based decision-making. I argue that using the normative framework of evidence-based medicine would have recommended against the use of lockdowns. I first review (...)
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  34. Detection and Mathematical Modeling of Anxiety Disorder Based on Socioeconomic Factors Using Machine Learning Techniques.Razan Ibrahim Alsuwailem & Surbhi Bhatia - 2022 - Human-Centric Computing and Information Sciences 12:52.
    The mental risk poses a high threat to the individuals, especially overseas demographic, including expatriates in comparison to the general Arab demographic. Since Arab countries are renowned for their multicultural environment with half of the population of students and faculties being international, this paper focuses on a comprehensive analysis of mental health problems such as depression, stress, anxiety, isolation, and other unfortunate conditions. The dataset is developed from a web-based survey. The detailed exploratory data analysis is conducted on the (...)
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  35. Value management and model pluralism in climate science.Julie Jebeile & Michel Crucifix - 2021 - Studies in History and Philosophy of Science Part A 88 (August 2021):120-127.
    Non-epistemic values pervade climate modelling, as is now well documented and widely discussed in the philosophy of climate science. Recently, Parker and Winsberg have drawn attention to what can be termed “epistemic inequality”: this is the risk that climate models might more accurately represent the future climates of the geographical regions prioritised by the values of the modellers. In this paper, we promote value management as a way of overcoming epistemic inequality. We argue that value management can be seriously (...)
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  36. A trilemma for the lexical utility model of the precautionary principle.H. Orri Stefánsson - forthcoming - Philosophical Studies:1-17.
    Bartha and DesRoches (2021) and Steel and Bartha (2023) argue that we should understand the precautionary principle as the injunction to maximise lexical utilities. They show that the lexical utility model has important pragmatic advantages. Moreover, the model has the theoretical advantage of satisfying all axioms of expected utility theory except continuity. In this paper I raise a trilemma for any attempt at modelling the precautionary principle with lexical utilities: it permits choice cycles or leads to paralysis or implies that (...)
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  37. Theory Roulette: Choosing that Climate Change is not a Tragedy of the Commons.Jakob Ortmann & Walter Veit - 2023 - Environmental Values 32 (1):65-89.
    Climate change mitigation has become a paradigm case both for externalities in general and for the game-theoretic model of the Tragedy of the Commons (ToC) in particular. This situation is worrying, as we have reasons to suspect that some models in the social sciences are apt to be performative to the extent that they can become self-fulfilling prophecies. Framing climate change mitigation as a hardly solvable coordination problem may force us into a worse situation, by changing real-world behaviour to fit (...)
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  38. An Economic Examination of Collateralization in Different Financial Markets.Tim Xiao - manuscript
    This paper attempts to assess the economic significance and implications of collateralization in different financial markets, which is essentially a matter of theoretical justification and empirical verification. We present a comprehensive theoretical framework that allows for collateralization adhering to bankruptcy laws. As such, the model can back out differences in asset prices due to collateralized counterparty risk. This framework is very useful for pricing outstanding defaultable financial contracts. By using a unique data set, we are able to achieve a (...)
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  39. Management of socio-economic transformations of business processes: current realities, global challenges, forecast scenarios and development prospects.Maksym Bezpartochnyi, Igor Britchenko & Olesia Bezpartochna - 2023 - Sofia: Professor Marin Drinov Publishing House of Bulgarian Academy of Sciences.
    The authors of the scientific monograph have come to the conclusion that мanagement of socio-economic transformations of business processes requires the use of mechanisms to support of entrepreneurship, sectors of the national economy, the financial system, and critical infrastructure. Basic research focuses on assessment the state of social service provision, analysing economic security, implementing innovation and introducing digital technologies. The research results have been implemented in the different models of costing, credit risk and capital management, tax control, use (...)
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  40. Management of innovative development the economic entities: collective monograph.Igor Britchenko & Maksym Bezpartochnyi (eds.) - 2018 - 33-300 Новы-Сонч, Польша: Wydawnictwo i Drukarnia Nova Sandec.
    The authors of the book have come to the conclusion that it is necessary to effectively use modern approaches the management of innovative development the economic entities in order to increase the efficiency of activity, to ensure competitiveness, to intensify innovation activity. Basic research focuses on assessing the competition of economic entities, internal control in organizations, analysis of credit risk, diagnostics of sources of funding for innovation, assessment of social innovation and human development factors. The research results have (...)
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  41. Disentangling the Epistemic Failings of the 2008 Financial Crisis.Lisa Warenski - 2018 - In David Coady & James Chase (eds.), Routledge Handbook of Applied Epistemology. New York: Routledge, Taylor & Francis Group. pp. 196-210.
    I argue that epistemic failings are a significant and underappreciated moral hazard in the financial services industry. I argue further that an analysis of these epistemic failings and their means of redress is best developed by identifying policies and procedures that are likely to facilitate good judgment. These policies and procedures are “best epistemic practices.” I explain how best epistemic practices support good reasoning, thereby facilitating accurate judgments about risk and reward. Failures to promote and adhere to best epistemic (...)
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  42. Central Banks policy under sanctions: critical assessment of the Central Bank of the Russian Federation experience.Vitaliy Shapran & Igor Britchenko - 2022 - VUZF REVIEW 7 (1):6-13.
    The article provides a critical assessment of The Central Bank of the Russian Federation policy in response to the sanctions of the US, the EU, the UK, Switzerland, Japan, South Korea and a number of other countries. The effect of sanctions on the Russian economy and its financial market is viewed through the prism of credit, interest rate, and currency risk, and the risk of a decline in business activity. Special attention is paid to the inflationary component (...)
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  43. TORC3: Token-Ring Clearing Heuristic for Currency Circulation.Julio Michael Stern, Carlos Humes, Marcelo de Souza Lauretto, Fabio Nakano, Carlos Alberto de Braganca Pereira & Guilherme Frederico Gazineu Rafare - 2012 - AIP Conference Proceedings 1490:179-188.
    Clearing algorithms are at the core of modern payment systems, facilitating the settling of multilateral credit messages with (near) minimum transfers of currency. Traditional clearing procedures use batch processing based on MILP - mixed-integer linear programming algorithms. The MILP approach demands intensive computational resources; moreover, it is also vulnerable to operational risks generated by possible defaults during the inter-batch period. This paper presents TORC3 - the Token-Ring Clearing Algorithm for Currency Circulation. In contrast to the MILP approach, TORC3 is (...)
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  44. The potential for climate engineering with stratospheric sulfate aerosol injections to reduce climate injustice.Toby Svoboda, Peter J. Irvine, Daniel Callies & Masahiro Sugiyama - 2018 - Journal of Global Ethics 14 (3):353-368.
    Climate engineering with stratospheric sulfate aerosol injections (SSAI) has the potential to reduce risks of injustice related to anthropogenic emissions of greenhouse gases. Relying on evidence from modeling studies, this paper makes the case that SSAI could have the potential to reduce many of the key physical risks of climate change identified by the Intergovernmental Panel on Climate Change. Such risks carry potential injustice because they are often imposed on low-emitters who do not benefit from climate change. Because SSAI (...)
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  45. Phương pháp thống kê xây dựng mô hình định mức tín nhiệm khách hàng thể nhân.Vương Quân Hoàng - 2006 - Vietnam Journal of Mathematical Applications 4 (2):1-16.
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  46. SME bonds in European countries as a new approach to financing.Yevheniia Polishchuk, Igor Britchenko, M. Dyba & O. Svyrydenko - 2018 - In Igor Britchenko & Ye Polishchuk (eds.), Development of small and medium enterprises: the EU and East-partnership countries experience: monograph. Wydawnictwo Państwowej Wyższej Szkoły Zawodowej im. prof. Stanisława Tarnowskiego w Tarnobrzegu. pp. 8 - 22.
    Nowadays a lot of new financial instruments for SMEs innovation projects are getting more popular in the business environment. A great number of them are traditional like credit loans at the same time we can observe the appearance of innovative ones. Variable set of financial instruments generalized on fig.1. This classification is giving by Organiztion of Economic Cooperation and Development ( OECD). As we can see from the fig.1 the classification is based on risk approach. For further research (...)
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    How to Stop the Wild Green Gold Rush: credible ESG ratings.Louis Larue & Uuriintuya Batsaikhan - 2023 - Positive Money Europe Policy Reports.
    The market for environmental, social and governance (ESG) rating and data is expected to grow immensely in the next decades. This brief zooms in both on the integration of ESG risks into “traditional” operations of Credit Rating Agencies (CRAs) as well as on the emergence of a market exclusively dedicated to ESG rating. As will become clear, the market for ESG ratings suffers from serious shortcomings, a lack of transparency and standardisation, significant biases and conflicts of interests, and a (...)
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  48. Incentivizing Replication Is Insufficient to Safeguard Default Trust.Hugh Desmond - 2021 - Philosophy of Science 88 (5):906-917.
    Philosophers of science and metascientists alike typically model scientists’ behavior as driven by credit maximization. In this article I argue that this modeling assumption cannot account for how scientists have a default level of trust in each other’s assertions. The normative implication of this is that science policy should not focus solely on incentive reform.
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  49.  75
    Innovating Financial and Medical Services: Generative AI’s Impact on Banking and Healthcare.M. Sheik Dawood - 2024 - Journal of Science Technology and Research (JSTAR) 5 (1):610-618.
    Results indicate substantial improvements in efficiency, accuracy, and personalized care, but also highlight the challenges of data privacy, ethical considerations, and system scalability. By providing a structured analysis, this research contributes insights into optimizing generative AI deployments for both banking and healthcare, ensuring a balance between innovation and risk management. The study concludes with recommendations for future research directions, including advanced model training, ethical guidelines, and enhanced privacy measures. These insights aim to inform practitioners on the benefits of generative (...)
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  50. The Impact of Banking Sector Development on Economic Growth: The Case of Vietnam’s Transitional Economy.Phuc Tran Nguyen - 2022 - Journal of Risk and Financial Management 15 (8):358.
    The objective of this paper is to examine the role of the banking system in the growth of the Vietnamese economy in the process of the transition that started in the early 1990s. An ARDL approach-based multivariate regression technique is applied to shed light on the impact on the growth of banking development, which is measured by broad money and bank credit. The empirical findings confirm a positive long-term effect of banking development on growth, reflecting the important role of (...)
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