Relevant bibliographies by topics / Strategy credit risk management

Contents

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

Academic literature on the topic 'Strategy credit risk management'

Author: Grafiati
Published: 30 May 2022

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Journal articles on the topic "Strategy credit risk management"

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Freeman, Mark C., Paul R. Cox, and Brian Wright. "Credit risk management." Managerial Finance 32, no. 9 (September 2006): 761–73. http://dx.doi.org/10.1108/03074350610681952.

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Moloi, Tankiso. "The nature of credit risk information disclosed in the risk and capital reports of the top-5 South African banks." Banks and Bank Systems 11, no. 3 (October 12, 2016): 87–93. http://dx.doi.org/10.21511/bbs.11(3).2016.09.

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This paper used the Credit Risk Disclosure Measurement Tool (CRDMT) constructed on the basis of six main areas, namely, banks own description of credit risk (i.e., as it applies to the banks operations), banks strategy of reducing credit risk exposure (i.e., objectives of credit management), banks approach to credit modelling or the internal rating system, banks approach and the manner in which they assess their exposure to credit risk, banks credit risk mitigation strategies employed (i.e., collateral and other credit enhancements), and banks approach to the valuation of pledged collateral and other credit enhancements to assess the information disclosed on the risk and capital management reports of the top-5 South African banks. Results demonstrated that the top-5 South African banks were fairly in line with the main six credit risk areas that would result in an informative risk and capital management report, as proposed by the CRMDT. It was observed that there were, however, pockets of information that could be improved to enhance these risk and capital management reports, particularly the credit risk information made available to public. These areas included the information relating to banks credit risk mitigation strategies employed and banks strategy of reducing credit risk exposure, as well as the information relating to banks approach to the valuation of pledged collateral and other credit enhancements. These areas were noted for their partial or non-disclosure of information. Keywords: banks, credit risk, Credit Risk Disclosure Measurement Tool (CRDMT), disclosure analysis and risk and capital reports. JEL Classification: G21, G32
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Samorodov, Borys, Galyna Azarenkova, Olena Golovko, Kateryna Oryekhova, and Maksym Babenko. "Financial stability management in banks: strategy maps." Banks and Bank Systems 14, no. 4 (November 20, 2019): 10–21. http://dx.doi.org/10.21511/bbs.14(4).2019.02.

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To prevent crises in the economy, it is necessary to ensure the financial stability of banks, which is one of the main tasks facing the banking system.The purpose of this article is to develop tools for improving the efficiency of financial stability management in a bank based on strategy maps.Using UkrSibbank (Ukraine) as an example, two strategy maps are developed: a general management map and a local map – for the international payments division of the operational payments department. Structural elements of the designed strategy maps are: finances, clients, internal processes, training and development.Implementing the developed general strategy map in the bank’s practical activities involves the following measures: increasing financial stability; avoiding credit risk and optimizing the credit process; increase in profit; cost reduction; introducing new banking products; increase in the number of satisfied consumers; involvement and retention strategic clients.The developed strategy map for the international payments division of the operational payments department provides for the following measures: ensuring sufficient liquidity level of the bank’s balance sheet; introducing an effective system of analysis of origin of individuals’ and legal entities’ funds; direct correlation between employees of the international payments division and bank customers; timely informing customers regarding requirements updated.
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Panglipursari, Dwi Lesno. "OPPORTUNITIES, RISKS AND STRATEGIES TO MINIMIZE THE RISK FINTECH LENDING: STUDY META SYNTHESIS." die 13, no. 1 (March 29, 2022): 29–43. http://dx.doi.org/10.30996/die.v13i1.6368.

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This study aims to configure by identifying opportunities, risks and strategies to minimize the risk ofthe existence of fintech lending as a financial intermediary institution using a meta-synthesis methodological approach. The number of articles sampled as much as 29 articles. The results show that business and investment opportunities in this sector are indicated by a large market share, the number of repeat borrowers, an element of trust between borrowers and lenders, a technology-based and uncomplicated loan system and without business guarantees. While the risk indicated by weaknesses in credit management or credit management is a risk that really needs to be considered, including in determining interest rates, and determining borrowers to be funded without credit analysis considerations. The strategy needed is to use a low interest rate strategy, a better management management strategy, a strategy to capture opportunities as well as a collaboration and growth strategy, as well as the need for the Government to make clear and centralized regulations and P2P platforms. Keywords: Opportunity, Risk, Fintech Lending Strategy, Meta Synthesis.
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Fatemi, Ali, and Iraj Fooladi. "Credit risk management: a survey of practices." Managerial Finance 32, no. 3 (March 2006): 227–33. http://dx.doi.org/10.1108/03074350610646735.

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Bouslama, Ghassen, and Christophe Bouteiller. "Human capital and credit risk management: training is more valuable than experience." Problems and Perspectives in Management 17, no. 1 (February 13, 2019): 67–77. http://dx.doi.org/10.21511/ppm.17(1).2019.07.

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The aim of this article is to assess how human capital, and more specifically training and experience, helps in forecasting and monitoring credit risk. It uses a survey of a sample of loan officers in a major French mutualist bank and applies analysis of variance and correlation to determine the relationships among variables. The study of these two components of human capital in SME loan officers shows that their ability to anticipate risk depends above all on their training rather than on their experience. Some methods of anticipating risk are more important than others. Loan officers monitor their clients in similar ways, whatever the degree and nature of their experience. The findings have two important implications for credit risk management and human capital: first, both technical and regulatory training is crucial to enable loan officers to anticipate bank credit risk, second, experience, whether in banking or as a loan officer, only makes a difference in monitoring risk. These results will be useful when banks are planning recruitment, career management and resource and skills allocation. They also suggest that staff knowledge management will enable banks to use their human capital effectively to reach their own objectives with regard to risk control, and those fixed by the regulators. This work is, as far as it is known, the first to study the role of human capital in managing credit risk. The authors show that training is more important than experience in default risk anticipation, but that experience is useful in risk monitoring.
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Elgharbawy, Adel. "Risk and risk management practices." Journal of Islamic Accounting and Business Research 11, no. 8 (January 13, 2020): 1555–81. http://dx.doi.org/10.1108/jiabr-06-2018-0080.

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Purpose This study aims to compare types and levels of risk and risk management practices (RMPs) including the recognition, identification, assessment, analysis, monitoring and control of risk in both Islamic and conventional banks. Design/methodology/approach A questionnaire survey was conducted among the Islamic and conventional banks in Qatar, together with an analysis of archival data extracted from the Thomson Reuters Eikon database for the period 2009-2018. Data were analysed using descriptive statistics, ANOVA and regression analysis. Findings Islamic banks encounter unique types and levels of risk that are not encountered by conventional banks. In Islamic banks, risks such as those of operation and Sharia non-compliance are perceived to be higher, while in conventional banks other risks such as those of credit and insolvency are higher; other risks, for example, liquidity risk, are faced by both. RMPs are determined by understanding risk and risk management, risk identification, risk monitoring and control and credit risk analysis, but not by risk assessment and analysis. However, the RMPs of the two types of bank are not significantly different, except in the analysis of credit risk. Research limitations/implications The study contributes to the debate in the literature by developing a better understanding of the dynamism of risk management in Qatari banks, which can be extended to similar contexts in the region. However, the relatively small sample size in only one country limits the possibility of generalizing the findings. The survey methodology is based on the perception of bankers rather than their actual actions and does not provide in-depth analysis for each type of risk, especially credit risk. However, using archival data, in addition to those from the survey, minimises the bias that would result from depending on one source of data. Practical implications The study provides valuable insights into the different types and levels of risk, as well as the RMPs in Islamic and conventional banks, which can help in guiding the future development and regulation of risk management in the banking sector of Qatar and its region. Originality/value The study helps to explain the mixed results of previous studies that compare types and levels of risk and RMPs in Islamic and conventional banks. Using different types of data and analysis, it provides evidence from one of the fastest growing economies in the world. It also addresses the concerns over RMPs in banks since the global financial crisis.
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Al-Shawabkeh, Abdallah, and Rama Kanungo. "Credit risk estimate using internal explicit knowledge." Investment Management and Financial Innovations 14, no. 1 (March 31, 2017): 55–66. http://dx.doi.org/10.21511/imfi.14(1).2017.06.

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Jordanian banks traditionally use a set of indicators, based on their internal explicit knowledge to examine the credit risk caused by default loans of individual borrowers. The banks are reliant on the personal and financial information of the borrowers, obtained by knowing them, often referred as internal explicit knowledge. Internal explicit knowledge characterizes both financial and non-financial indicators of individual borrowers, such as; loan amount, educational level, occupation, income, marital status, age, and gender. The authors studied 2755 default or non-performing personal loan profiles obtained from Jordanian Banks over a period of 1999 to 2014. The results show that low earning unemployed borrowers are very likely to default and contribute to non-performing loans by increasing the chances of credit risk. In addition, it is found that the unmarried, younger borrowers and moderate loan amount increase the probability of non-performing loans. On the contrary, borrowers employed in private sector and at least educated to a degree level are most likely to mitigate the credit risk. The study suggests improving the decision making process of Jordanian banks by making it more quantitative and dependable, instead of using only subjective or judgemental based understanding of borrowers.
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McCarthy, J. F. "PORTFOLIO RISK MANAGEMENT AT BHP BILLITON." APPEA Journal 42, no. 1 (2002): 663. http://dx.doi.org/10.1071/aj01042.

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BHP Billiton has implemented a portfolio risk management strategy. The strategy is based on extensive quantitative analysis of the risks and opportunities in the BHP Billiton portfolio and applies leading financial markets thinking to a portfolio of natural resource assets. It enables BHP Billiton to more rigorously manage the risks within its portfolio.This paper will discuss the portfolio modelling process supporting Portfolio Risk Management. The process involves detailed modelling of changing financial markets (i.e. commodities, currencies, interest rates), the implications for the financial strength of the company (i.e. interest cover, liquidity profile, credit rating, gearing) and, ultimately, the implications for the business strategy (i.e. financial targets, growth aspirations, capital investments, acquisitions, share buybacks). This will illustrate how quantitative tools become building blocks for decision making beyond the market risk strategy and strengthen capital disciplines.
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Bilal, Ahmad Raza, and Mirza Muhammad Ali Baig. "Transformation of agriculture risk management." Agricultural Finance Review 79, no. 1 (February 4, 2019): 136–55. http://dx.doi.org/10.1108/afr-05-2018-0038.

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Purpose The purpose of this paper is to investigate the balanced role of internal and external compliance in risk evaluation process of specialized agriculture financing. The authors examine the adaptive behavior of risk managers to determine the role of proposed transformation for risk monitoring (RM) and control process in risk mitigation and avoidance of agriculture credit failure. Design/methodology/approach A self-administered survey was conducted to collect data from 353 risk-related officers and managers in Zarai Taraqiati Bank Limited (ZTBL) Pakistan. The authors used a previously tested scale for the main constructs. The descriptive analyses were used to gauge the model capacity for determining the strength of proposed risk patterns in agriculture risk management. Findings The results reveal that risk evaluation process in ZTBL is reasonably efficient in mitigating risks. Given the sensitive nature of farm credit, there is a need of fundamental reforms in risk policy manuals in line with central bank’s agriculture prudential regulations and Basel-III standards. The results fully support H1 and H2, while H3 is partially validated. The result patterns indicate serious issues in risk evaluation process in agriculture finance that is causing higher delinquency in farm credit. Research limitations/implications Based on highlighted issues, the authors recommend valuable guidelines in the RM review system for agriculture financing products at ZTBL. Practical implications The authors propose remodeling of agriculture risk management and offer valuable insights to the agriculture financial regulators and government in taking policy initiatives in the pre-and-post agriculture risk evaluation process. The proposed model enables RM process to improve farm credit delinquency, particularly in ZTBL and other agriculture banking networks in commercial banks. Originality/value This is the first study to empirically investigate RM evaluation process in agriculture risk management of ZTBL in Pakistan, thus, offers new horizon of farm credit regulatory compliance in agricultural sector of Pakistan.
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Dissertations / Theses on the topic "Strategy credit risk management"

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Al-Suwaidi, Hassan. "A study differentiating credit risk management strategy between Islamic and non-Islamic Banks in UEA." Thesis, London Metropolitan University, 2014. http://repository.londonmet.ac.uk/689/.

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This study attempts to identify any differences between Islamic and non-Islamic banks in UAE. Furthermore, factors affecting rate of return on lending have also been examined for UAE banks, Islamic and non-Islamic banks. This study has used quantitative research design. Data has been collected through questionnaire. Data is obtained directly as primary evidence from the senior credit risk managers from all the local commercial banks within United Arab Emirates. The sample for the study consists of 6 commercial banks from UAE with 3 non-Islamic and 3 Islamic banks with 148 credit risk managers as respondents for the survey. Descriptive statistic and inferential statistics are used to obtain the results. Islamic and non-Islamic banks differ in 'expert system', 'lending policy' and 'lending decisions'. Islamic banks are performing better making lending decision and lending policies than non-Islamic banks. Whereas, non-Islamic (conventional) banks are having better expert system than Islamic bank. All explanatory variables i.e. bank-wise exposure, experts system, company factors, lending decision, corporate borrowers, demographic variables and lending policy have significant influence on the profitability of UAE banks. Overall, credit risk management practices of Islamic banks are significantly contributing in profitability of banks than non-Islamic banks. Originality - This paper uses questionnaire-based methodology has not been used previously in UAE financial sector as well as in studies of credit risk management. Therefore this research could become the cornerstone of further academic research in other developing countries using this methodology. Practical implication. This study is significantly important for the academic point of view as well as for the practitioners, risk managers and policy makers.
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Lindermeir, Andreas [Verfasser], and Hans Ulrich [Akademischer Betreuer] Buhl. "Decision Support in IT and Risk: On the Economic Valuation of Strategic Decisions in IT Innovation Management, Credit Portfolio Management, and Hedging / Andreas Lindermeir ; Betreuer: Hans Ulrich Buhl." Augsburg : Universität Augsburg, 2016. http://d-nb.info/1119707080/34.

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Zhang, Xuan. "Essays in credit risk management." Thesis, University of Glasgow, 2017. http://theses.gla.ac.uk/7988/.

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Credit risk management is becoming more and more important in recent years. Credit risk refers to the risk that an obligor fails to make payments on any type of debt at the time of maturity. Credit risk models are statistical tools to infer the future default probabilities and loss distribution of values of a portfolio of debts. This doctoral thesis focus on the application of credit risk management in different areas. To better understand the credit risk management, in the first chapter, we introduce the basic ideas in credit risk management and review the models developed in the last decades. To empirical test the performance of models reviewed in the first chapter, in the second chapter, we compare the reduce-form model with the structural model based on the China’s stock market. It turns out that both models contribute to explaining the default risk of listed firms, however, reduce-form model outperformances the structural model. The empirical results from the second chapter suggests that reduce-form model can better predict the firm’s default risk, but the correlated default risk between firms has not been answered yet. So therefore in the third chapter, we investigate the correlated default risk using copula theory which has been introduced in the first chapter. Based on the insurances firms and other financial firms in the US market, both short-term and long-term default dynamic correlations are found. Another interesting finding from the third chapter is that insurance firms which were considered to be stable actually have higher default risk. This motive us to further explore the determinants of default risk of insurance firms in the fourth chapter and new risk factors (macroeconomic and insurance-specific variables) are found.
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Den, Braber Ronald Franciscus Johannes. "Credit risk pricing models as applied to credit trading and risk management." Thesis, Imperial College London, 2006. http://hdl.handle.net/10044/1/7980.

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Pavel, Christoph [Verfasser]. "Credit Portfolio Management An Analysis of Credit Risk Drivers, Models, and Risk Management Tools / Christoph Pavel." München : Verlag Dr. Hut, 2012. http://d-nb.info/1021072990/34.

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Gu, Jiawen, and 古嘉雯. "On credit risk modeling and credit derivatives pricing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2014. http://hdl.handle.net/10722/202367.

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In this thesis, efforts are devoted to the stochastic modeling, measurement and evaluation of credit risks, the development of mathematical and statistical tools to estimate and predict these risks, and methods for solving the significant computational problems arising in this context. The reduced-form intensity based credit risk models are studied. A new type of reduced-form intensity-based model is introduced, which can incorporate the impacts of both observable trigger events and economic environment on corporate defaults. The key idea of the model is to augment a Cox process with trigger events. In addition, this thesis focuses on the relationship between structural firm value model and reduced-form intensity based model. A continuous time structural asset value model for the asset value of two correlated firms with a two-dimensional Brownian motion is studied. With the incomplete information introduced, the information set available to the market participants includes the default time of each firm and the periodic asset value reports. The original structural model is first transformed into a reduced-form model. Then the conditional distribution of the default time as well as the asset value of each name are derived. The existence of the intensity processes of default times is proven and explicit form of intensity processes is given in this thesis. Discrete-time Markovian models in credit crisis are considered. Markovian models are proposed to capture the default correlation in a multi-sector economy. The main idea is to describe the infection (defaults) in various sectors by using an epidemic model. Green’s model, an epidemic model, is applied to characterize the infectious effect in each sector and dependence structures among various sectors are also proposed. The models are then applied to the computation of Crisis Value-at-Risk (CVaR) and Crisis Expected Shortfall (CES). The relationship between correlated defaults of different industrial sectors and business cycles as well as the impacts of business cycles on modeling and predicting correlated defaults is investigated using the Probabilistic Boolean Network (PBN). The idea is to model the credit default process by a PBN and the network structure can be inferred by using Markov chain theory and real-world data. A reduced-form model for economic and recorded default times is proposed and the probability distributions of these two default times are derived. The numerical study on the difference between these two shows that our proposed model can both capture the features and fit the empirical data. A simple and efficient method, based on the ordered default rate, is derived to compute the ordered default time distributions in both the homogeneous case and the two-group heterogeneous case under the interacting intensity default contagion model. Analytical expressions for the ordered default time distributions with recursive formulas for the coefficients are given, which makes the calculation fast and efficient in finding rates of basket CDSs.
published_or_final_version
Mathematics
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Doctor of Philosophy
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Takang, Felix Achou, and Claudine Tenguh Ntui. "Bank performance and credit risk management." Thesis, University of Skövde, School of Technology and Society, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-1318.

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Banking is topic, practice, business or profession almost as old as the very existence of man, but literarily it can be rooted deep back the days of the Renaissance (by the Florentine Bankers). It has sprouted from the very primitive Stone-age banking, through the Victorian-age to the technology-driven Google-age banking, encompassing automatic teller machines (ATMs), credit and debit cards, correspondent and internet banking. Credit risk has always been a vicinity of concern not only to bankers but to all in the business world because the risks of a trading partner not fulfilling his obligations in full on due date can seriously jeopardize the affaires of the other partner.

The axle of this study is to have a clearer picture of how banks manage their credit risk. In this light, the study in its first section gives a background to the study and the second part is a detailed literature review on banking and credit risk management tools and assessment models. The third part of this study is on hypothesis testing and use is made of a simple regression model. This leads us to conclude in the last section that banks with good credit risk management policies have a lower loan default rate and relatively higher interest income.

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Fabík, Peter. "Credit risk management v leasingové společnosti." Master's thesis, Vysoká škola ekonomická v Praze, 2007. http://www.nusl.cz/ntk/nusl-1580.

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Práce pojednává o řízení rizik v leasingové společnosti. Popisuje proces hodnocení bonity klienta a faktory ovlivňující schvalování obchodních případů. Charakterizuje ratingový a scoringový model v konkrétní leasingové společnosti, hodnotí jejich nedostatky a navrhuje změny na jejich vylepšení. Obsahuje i praktický příklad komplexního hodnocení obchodního případu včetně posouzení bonity klienta prostřednictvím ratingového modelu a nástrojů finanční analýzy.
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Erlenmaier, Ulrich. "Risk management in banking credit risk management and bank closure policies /." [S.l. : s.n.], 2001. http://deposit.ddb.de/cgi-bin/dokserv?idn=963752502.

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Wendin, Jonathan Erik Purvis. "Bayesian methods in portfolio credit risk management." Zürich : ETH, 2006. http://e-collection.ethbib.ethz.ch/ecol-pool/diss/abstracts/p16481.pdf.

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Books on the topic "Strategy credit risk management"

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John, Barrickman, ed. Strategic credit risk management. Philadelphia, Pa: Robert Morris Associates, 1994.

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Banking strategy, credit appraisal and lending decisions: A risk-return framework. Delhi: Oxford University Press, 1998.

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Banking strategy, credit appraisal, and lending decisions: A risk-return framework. 2nd ed. New Delhi, India: Oxford University Press, 2011.

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Charaeva, Marina. Corporate finance management strategy: investments and risks. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1064905.

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The article examines and develops the methodological and methodological basis of corporate finance management in the context of their strategic development, when investment and financing decisions are particularly relevant from the point of view of determining acceptable risks and the financial well-being of the corporation. The conceptual and methodological foundations of analytical support for corporate finance management are developed, based on the definition of investment policy, its implementation through investment business planning and identification and assessment of financial risks in the framework of achieving strategic goals related to the modernization of Russian corporations. The ways of improving the quality of the corporate finance management strategy based on the introduction of budgeting technology and the use of controlling the implementation of the corporation's financial strategy are proposed. It is intended for postgraduates, undergraduates, university teachers, researchers and practitioners, full-time and part-time students studying in the areas of "Economics", "Management", "Finance and Credit" (master's level), as well as anyone interested in the problems of strategic management of corporate finance.
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Colquitt, Joetta. Credit Risk Management. New York: McGraw-Hill, 2007.

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Witzany, Jiří. Credit Risk Management. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49800-3.

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Credit risk management. Oxford: Elsevier, 2004.

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Peter, Taylor, and IFS School of Finance, eds. Consumer credit risk management. London, U.K: Global Professional Publishing, 2008.

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Koulafetis, Panayiota. Modern Credit Risk Management. London: Palgrave Macmillan UK, 2017. http://dx.doi.org/10.1057/978-1-137-52407-2.

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Anolli, Mario, Elena Beccalli, and Tommaso Giordani, eds. Retail Credit Risk Management. London: Palgrave Macmillan UK, 2013. http://dx.doi.org/10.1057/9781137006769.

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Book chapters on the topic "Strategy credit risk management"

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De Laurentis, Giacomo. "Corporate Banker's Role and Credit Risk Management." In Strategy and Organization of Corporate Banking, 107–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/3-540-26747-6_5.

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Roncalli, Thierry. "Credit Risk." In Handbook of Financial Risk Management, 125–255. Boca Raton : CRC Press, 2020. | Series: Chapman and Hall/CRC financial mathematics series: Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9781315144597-3.

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Witzany, Jiří. "Credit Derivatives and Counterparty Credit Risk." In Credit Risk Management, 159–239. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49800-3_5.

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Cernauskas, Deborah. "Credit Risk." In Essentials of Risk Management in Finance, 214–28. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118387016.ch13.

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Modina, Michele. "Credit Risk Management." In Credit Rating and Bank-Firm Relationships, 20–47. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137496225_3.

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Nason, Rick. "Credit Risk Management." In Enterprise Risk Management, 261–78. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118267080.ch15.

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Franke, Jürgen, Wolfgang Karl Härdle, and Christian Matthias Hafner. "Credit Risk Management." In Statistics of Financial Markets, 543–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16521-4_22.

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Witzany, Jiří. "Credit Risk Management." In Credit Risk Management, 5–18. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49800-3_2.

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Hener, Alexander. "Credit Risk Management." In Credit Risk Management in the Automotive Industry, 71–80. Wiesbaden: Deutscher Universitätsverlag, 2005. http://dx.doi.org/10.1007/978-3-322-81917-8_5.

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García, Francisco Javier Población. "Credit Risk Management." In Financial Risk Management, 249–63. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-41366-2_11.

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Conference papers on the topic "Strategy credit risk management"

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Meng, Xiangfeng, Yunhai Tong, Xinhai Liu, and Shaohua Tan. "A Novel Complex Network based Credit Risk Management Strategy." In 2016 International Symposium on Advances in Electrical, Electronics and Computer Engineering. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/isaeece-16.2016.26.

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Agrawal, J. P. N., and S. P. Srivastava. "Methodology of Risk Management in Pipeline Projects." In ASME 2013 India Oil and Gas Pipeline Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/iogpc2013-9841.

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Organizations of all types and sizes face internal and external factors and influences that make it uncertain whether and when they will achieve their business objectives. The effect this uncertainty has on an organization’s objectives is “RISK”. In recent times all sectors of the economy have shifted focus towards the management of risk as the key to making organizations successful in delivering their objectives while protecting the interests of their stakeholders. Risk may be defined as events or conditions that may occur, and whose occurrence, if it does take place, has a harmful or negative impact on the achievement of the organization’s business objectives. The exposure to the consequences of uncertainty constitutes a risk. Organizations that are most effective and efficient in managing risks to both existing assets and to future growth will, in the long run, outperform those that are less so. Simply put, companies make money by taking intelligent risks and lose money by failing to manage risk intelligently. Risk management is the identification, assessment, and prioritization of risks (defined in ISO 31000 as the effect of uncertainty on objectives, whether positive or negative) followed by coordinated and economical application of resources to minimize, monitor, and control the probability and/or impact of unfortunate events or to maximize the realization of opportunities. Risks can come from uncertainty in financial markets, project failures (at any phase in design, development, production, or sustainment life-cycles), legal liabilities, credit risk, accidents, natural causes and disasters as well as deliberate attack from an adversary, or events of uncertain or unpredictable root-cause. Several risk management standards have been developed including the Project Management Institute, the National Institute of Standards and Technology, actuarial societies, and ISO standards. Methods, definitions and goals vary widely according to whether the risk management method is in the context of project management, security, engineering, industrial processes, financial portfolios, actuarial assessments, or public health and safety. Risk management is a holistic, integrated, structured and disciplined approach to managing risks with the objective of maximizing shareholder’s value. It aligns strategy, processes, people & culture, technology and governance with the purpose of evaluating and managing the uncertainties faced by the organization while creating value. Broadly this paper deals with the objective of risk management along with identification, polarization, mitigation and governance of risks associated with pipeline projects. Further the criteria for assigning the probabilities and impact of an identified risk along with their classification based on its probability and impact are also incorporated in the paper.
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Chesser, Noel P. "Options and Strategies for Waste to Energy Facility Energy Sales in Deregulated Markets." In 16th Annual North American Waste-to-Energy Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/nawtec16-1913.

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Many US Municipal Waste to Energy (WTE) plants entered into long term electric sales contracts with their local utilities for the electricity generated. These legacy contracts will be expiring over the next few years. With the advent of electric deregulation, the energy markets are vastly different and WTEs now have many more options to optimize the value of the energy generated from their facilities. There are even some options available for WTE’s located in regulated markets. A well developed energy sales strategy and execution can make a significant difference in the value realized from the WTE energy generated. To understand the options available to WTE’s it is first helpful to have a basic understanding of the power markets. In markets that are deregulated, there exists two primary markets, the hourly market were prices are set by the regional independent system operator (ISO) such as PJM or NYISO and the forward markets which offer fix rates for energy delivered some time in the future. The hourly market prices are highly transparent (posted on ISO’s web site) and are based on the marginal cost of fuel used to meet the last increment of demand during that hour. In the Mid-Atlantic, New York and New England prices are typically driven by the price of natural gas and to a lesser extent fuel oil and coal. The forward markets are driven by counterparties who are willing to offer fixed prices in return for risk premiums added to the price to cover their price risk. Forward market pricing is not as transparent and requires knowledge of the market, knowledge and experience with the major buyers and sellers and multiple price bids. Options for WTEs facilities now include sales directly to the ISO, sales to wholesale buyers (generally 1–5 years), sales to local utilities and power authorities, sales directly to the local municipality and sales to large local commercial/industrial users of energy. The option selected should be consistent with a well defined energy sales strategy. The strategy should incorporate a price risk profile, budget and funding requirements/objectives, facility operating risk profile, credit risk, local considerations, and risk management timeframe. The mechanisms required to execute the above options vary and involve different approaches, contract structures, licenses, memberships, risks and rewards. There are qualified independent energy consultants that can assist WTEs in understanding the markets, developing energy sales strategies and execution thereof to help ensure the value of the energy generated is optimized.
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Liu, Huiling, and Yihan Li. "Credit Information Sharing, Bank Size and Bank Credit Risk." In IMMS 2021: 2021 4th International Conference on Information Management and Management Science. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3485190.3485227.

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Wu, Yu-ping, and Cheng-zhang Li. "Study on credit sale risk assessing model based on credit sale risk degree." In 2009 International Conference on Management Science and Engineering (ICMSE). IEEE, 2009. http://dx.doi.org/10.1109/icmse.2009.5317518.

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Goda, Shinichi, and Yukio Ohsawa. "Chance Discovery in Credit Risk Management." In Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06). IEEE, 2006. http://dx.doi.org/10.1109/icdmw.2006.40.

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Kvesi�, Ljiljanka, and Gordana Duki�. "Risk Management and Business Credit Scoring." In 34th International Conference on INFORMATION TECHNOLOGY INTERFACES. Zagreb: University Computing Centre - SRCE, 2012. http://dx.doi.org/10.2498/iti.2012.0478.

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Hu, Yazhen. "Credit risk assessment and strategy formulation of MSMes." In 2nd International Conference on Industrial IoT, Big Data, and Supply Chain, edited by Hong Yu, Yongxin Zhu, and Victor Chang. SPIE, 2021. http://dx.doi.org/10.1117/12.2625047.

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Yi Zhou. "Credit risk with incomplete information." In 2011 International Conference on Business Management and Electronic Information (BMEI). IEEE, 2011. http://dx.doi.org/10.1109/icbmei.2011.5920457.

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Wei, Yani, and Zhangyong Xu. "Research on Credit Risk of Corporate Bond." In 2017 International Conference on Management Science and Management Innovation (MSMI 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/msmi-17.2017.30.

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Reports on the topic "Strategy credit risk management"

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Butaru, Florentin, QingQing Chen, Brian Clark, Sanmay Das, Andrew Lo, and Akhtar Siddique. Risk and Risk Management in the Credit Card Industry. Cambridge, MA: National Bureau of Economic Research, June 2015. http://dx.doi.org/10.3386/w21305.

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Gleason, Mark L., Daren S. Mueller, and Bernard J. Havlovic. Row Cover and Low-risk Insecticide Strategy for Cucumber Beetle Management. Ames: Iowa State University, Digital Repository, 2005. http://dx.doi.org/10.31274/farmprogressreports-180814-296.

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Gleason, Mark L., Sara Jane Helland, and Bernard J. Havlovic. A Row Cover and Low-Risk Insecticide Strategy for Cucumber Beetle Management. Ames: Iowa State University, Digital Repository, 2004. http://dx.doi.org/10.31274/farmprogressreports-180814-2561.

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Harper, B. L., S. J. Gajewski, and C. L. Glantz. Risk constraint measures developed for the outcome-based strategy for tank waste management. Office of Scientific and Technical Information (OSTI), September 1996. http://dx.doi.org/10.2172/477712.

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Calkin, David E., Alan A. Ager, Matthew P. Thompson, Mark A. Finney, Danny C. Lee, Thomas M. Quigley, Charles W. McHugh, Karin L. Riley, and Julie M. Gilbertson-Day. A comparative risk assessment framework for wildland fire management: the 2010 cohesive strategy science report. Ft. Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2011. http://dx.doi.org/10.2737/rmrs-gtr-262.

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Boyens, Jon M. Cybersecurity Supply Chain Risk Management for Systems and Organizations. Gaithersburg, MD: National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.sp.800-161r1.

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Organizations are concerned about the risks associated with products and services that may contain potentially malicious functionality, are counterfeit, or are vulnerable due to poor manufacturing and development practices within the supply chain. These risks are associated with an enterprise’s decreased visibility into, and understanding of, how the technology they acquire is developed, integrated, and deployed, or the processes, procedures, standards, and practices used to ensure the security, resilience, reliability, safety, integrity, and quality of the products and services. This publication provides guidance to organizations on identifying, assessing, and mitigating cybersecurity risks throughout the supply chain at all levels of their organizations. The publication integrates cybersecurity supply chain risk management (C-SCRM) into risk management activities by applying a multilevel, C-SCRM-specific approach, including guidance on development of C-SCRM strategy implementation plans, C-SCRM policies, C-SCRM plans, and risk assessments for products and services
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Lozano-Espitia, Ignacio, and Fernando Arias-Rodríguez. The Relationship between Fiscal and Monetary Policies in Colombia: An Empirical Exploration of the Credit Risk Channel. Banco de la República, April 2022. http://dx.doi.org/10.32468/be.1196.

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This paper aims to provide evidence on the relationship between fiscal and monetary policy in Colombia through an empirical exploration of the credit risk channel. Under this approach, fiscal policy plays an important explanatory role in the sovereign risk premium, which, in turn, could affect the exchange rate and inflation expectations. The Central Bank reacts to inflation expectations using the policy interest rate; consequently, such reaction could be indirectly influenced by fiscal behavior. Using monthly data from January 2003 to December 2019, we estimate both jointly and independently the reduced-form core equations of a system that describes the credit risk channel in a small open economy. Our findings are in line with the model predictions. Fiscal policy affected the country’s sovereign risk during this period, but only slightly. Hence, there is insufcient evidence to sustain the idea that monetary policy has been signifcantly influenced by government fiscal management.
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Galbraith, Mel, and Dan Blanchon. Biology is not Alone: The Interdisciplinary Nature of Biosecurity. Unitec ePress, September 2015. http://dx.doi.org/10.34074/pibs.rs12015.

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Recognition and management of anthropogenic environmental impacts as ‘biosecurity’ is a relatively new concept to our society. Although biosecurity risks are based on biological impacts, biosecurity management is truly interdisciplinary-transdisciplinary since the definition and interpretation of risk and adverse effects are socially constructed, and the outcomes and management of the risks can have significant social and economic impacts. The New Zealand biosecurity strategy is very clear that the responsibilities for environmental risk management lie with society as a whole. The authors explore how disciplines other than biology may contribute to the understanding of biosecurity risks, their management and mitigation. This paper outlines the interdisciplinary-transdisciplinary nature of biosecurity, with an emphasis on the social and economic elements.
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Tipton, Kelley, Brian F. Leas, Nikhil K. Mull, Shazia M. Siddique, S. Ryan Greysen, Meghan B. Lane-Fall, and Amy Y. Tsou. Interventions To Decrease Hospital Length of Stay. Agency for Healthcare Research and Quality (AHRQ), September 2021. http://dx.doi.org/10.23970/ahrqepctb40.

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Background. Timely discharge of hospitalized patients can prevent patient harm, improve patient satisfaction and quality of life, and reduce costs. Numerous strategies have been tested to improve the efficiency and safety of patient recovery and discharge, but hospitals continue to face challenges. Purpose. This Technical Brief aimed to identify and synthesize current knowledge and emerging concepts regarding systematic strategies that hospitals and health systems can implement to reduce length of stay (LOS), with emphasis on medically complex or vulnerable patients at high risk for prolonged LOS due to clinical, social, or economic barriers to timely discharge. Methods. We conducted a structured search for published and unpublished studies and conducted interviews with Key Informants representing vulnerable patients, hospitals, health systems, and clinicians. The interviews provided guidance on our research protocol, search strategy, and analysis. Due to the large and diverse evidence base, we limited our evaluation to systematic reviews of interventions to decrease hospital LOS for patients at potentially higher risk for delayed discharge; primary research studies were not included, and searches were restricted to reviews published since 2010. We cataloged the characteristics of relevant interventions and assessed evidence of their effectiveness. Findings. Our searches yielded 4,364 potential studies. After screening, we included 19 systematic reviews reported in 20 articles. The reviews described eight strategies for reducing LOS: discharge planning; geriatric assessment or consultation; medication management; clinical pathways; inter- or multidisciplinary care; case management; hospitalist services; and telehealth. All reviews included adult patients, and two reviews also included children. Interventions were frequently designed for older (often frail) patients or patients with chronic illness. One review included pregnant women at high risk for premature delivery. No reviews focused on factors linking patient vulnerability with social determinants of health. The reviews reported few details about hospital setting, context, or resources associated with the interventions studied. Evidence for effectiveness of interventions was generally not robust and often inconsistent—for example, we identified six reviews of discharge planning; three found no effect on LOS, two found LOS decreased, and one reported an increase. Many reviews also reported patient readmission rates and mortality but with similarly inconsistent results. Conclusions. A broad range of strategies have been employed to reduce LOS, but rigorous systematic reviews have not consistently demonstrated effectiveness within medically complex, high-risk, and vulnerable populations. Health system leaders, researchers, and policymakers must collaborate to address these needs.
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Matthew, Gray. Data from "Winter is Coming – Temperature Affects Immune Defenses and Susceptibility to Batrachochytrium salamandrivorans". University of Tennessee, Knoxville Libraries, January 2021. http://dx.doi.org/10.7290/t7sallfxxe.

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Environmental temperature is a key factor driving various biological processes, including immune defenses and host-pathogen interactions. Here, we evaluated the effects of environmental temperature on the pathogenicity of the emerging fungus, Batrachochytrium salamandrivorans (Bsal), using controlled laboratory experiments, and measured components of host immune defense to identify regulating mechanisms. We found that adult and juvenile Notophthalmus viridescens died faster due to Bsal chytridiomycosis at 14 ºC than at 6 and 22 ºC. Pathogen replication rates, total available proteins on the skin, and microbiome composition likely drove these relationships. Temperature-dependent skin microbiome composition in our laboratory experiments matched seasonal trends in wild N. viridescens, adding validity to these results. We also found that hydrophobic peptide production after two months post-exposure to Bsal was reduced in infected animals compared to controls, perhaps due to peptide release earlier in infection or impaired granular gland function in diseased animals. Using our temperature-dependent infection results, we performed a geographic analysis that suggested that N. viridescens populations in the northeastern United States and southeastern Canada are at greatest risk for Bsal invasion. Our results indicate that environmental temperature will play a key role in the epidemiology of Bsal and provide evidence that temperature manipulations may be a viable Bsal management strategy.
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