Academic literature on the topic 'Credit Management'

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Journal articles on the topic "Credit Management"

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Lin, Xi, Yafeng Yin, and Fang He. "Credit-Based Mobility Management Considering Travelers’ Budgeting Behaviors Under Uncertainty." Transportation Science 55, no. 2 (March 2021): 297–314. http://dx.doi.org/10.1287/trsc.2020.1014.

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This study analyzes the performance of a credit-based mobility management scheme considering travelers’ budgeting behaviors for credit consumption under uncertainty. In the scheme, government agencies periodically distribute a certain number of credits to travelers; travelers must pay a credit charge for driving to complete their trips. Otherwise, they can take public transit free of credit charge. Consequently, within a credit-releasing cycle, travelers must budget their credit consumption to fulfill their mobility needs. Such budgeting behaviors can be viewed as a multistage decision-making process under uncertainty. Considering a transportation system with a credit scheme, we propose parsimonious models to investigate how the uncertainty associated with individual mobility needs and the subsequent travelers’ credit-budgeting behavior influence the multistage equilibrium of the transportation system, as well as the performance of the credit scheme on managing the transportation system. Both analytical and numerical results suggest that travelers tend to restrict their credit consumption in the early stage of a credit-releasing cycle to hedge against the risks associated with using up all credits, which compromises the performances of credit-based schemes. Moreover, a negative attitude toward risk aggravates the discrepancy between the credit consumption of the early and late stages. Last, we propose a contingency credit scheme to mitigate the negative impact incurred by travelers’ budgeting behaviors.
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Spuchlakova, Erika, and Maria Misankova. "Risk management of Credit Default Swap." New Trends and Issues Proceedings on Humanities and Social Sciences 3, no. 4 (March 22, 2017): 229–34. http://dx.doi.org/10.18844/gjhss.v3i4.1573.

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K, Roopa. "Credit Risk Management - A Case Analysis." International Journal of Science and Research (IJSR) 12, no. 12 (December 5, 2023): 361–66. http://dx.doi.org/10.21275/sr231128152822.

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Akram, Hassan, and Khalil ur Rahman. "Credit risk management." ISRA International Journal of Islamic Finance 10, no. 2 (December 10, 2018): 185–205. http://dx.doi.org/10.1108/ijif-09-2017-0030.

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PurposeThis study aims to examine and compare the credit risk management (CRM) scenario of Islamic banks (IBs) and conventional banks (CBs) in Pakistan, keeping in view the phenomenal growth of Islamic banking and its future implications.Design/methodology/approachA sample of five CBs and four IBs was chosen out of the whole banking industry for the study. Secondary data obtained from the banks’ annual financial reports for 13 years, starting from 2004 to 2016, were analyzed. Multiple regression, correlation and descriptive analysis were used in the examination of the data.FindingsThe results show that loan quality (LQ) has a positive and significant impact on CRM for both IBs and CBs. Asset quality (AQ), on the other hand, has a negative impact on CRM in the case of IBs, but has a significantly positive relation with CRM in the case of CBs. The impact of 16 ratios measuring LQ and AQ have also been individually checked on CRM, by making use of a regression model using a dummy variable of financial crises for robust comparison among CBs and IBs. The model proved significant, and CRM performance of IBs was observed to be better than that of CBs. Moreover, the mean average value of financial ratios used as a measuring tool for these variables shows that the CRM performance of IBs operating in Pakistan was better than that of CBs over the period of the study.Practical implicationsThe research findings are expected to facilitate bankers, investors, academics and policy makers to build a better understanding of CRM practices as adopted by CBs and IBs. The findings would be useful in formulating policy measures for the progress of the banking industry in Pakistan.Originality/valueThis research is unique in terms of its approach toward analyzing and comparing CRM performance of CBs and IBs. Such work has not been carried out before in the Pakistani banking industry.
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Gazi, Boran. "Credit Risk Management." Journal of Applied Statistics 38, no. 6 (June 2011): 1314. http://dx.doi.org/10.1080/02664760903335083.

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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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Mutalemwa, D. F., and J. R. Makindara. "Effects of Credit Management Practices on Performance of Women Owned SMEs in Morogoro Municipality, Tanzania." African Journal of Accounting and Social Science Studies 4, no. 1 (August 18, 2022): 293–314. http://dx.doi.org/10.4314/ajasss.v4i1.16.

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This paper determined the effects of credit management practices on the performance of women owned SMEs in Morogoro Municipality. Data were collected from 120 women which included both credit and non-credit recipients. A purposeful sampling procedure was employed to select the study district and three wards whereby two streets were selected from each ward randomly. The women’s respondents were then selected randomly from each street. Descriptive analysis was used to compute the enterprise performance status of the respondents. The results indicate that 55 percent of the women respondents were credit beneficiaries while 45 percent were not. Among those who received credit, 68 percent used the whole credit to invest in the same business; about 21 percent used 50 percent of the credit received to invest in other businesses besides the core ones and about 50 percent used the credit in non-business purposes. Moreover, about 11 percent of the credit recipients used the whole loan given (100%) in other activities such as family parties and paying school fees. An independent t-test was run to determine whether there is a significance difference in performance among women with and without credits. The performance indicators were all significant in terms of asset value, number of employees, monthly sales, and gross margin at p>0.05. The findings show that credit availability influenced the performance of women owning SMEs. The findings also show further that women who received credit and invest the whole of it in the same business were performing better compared to non-credit recipients. It is therefore concluded that if credit is available and women use the whole of it in investing within the business, their SMEs performance will improve. It is recommended that women owning SME’s should be encouraged to take the available credits which have competitive interest rates and deploy it in their business in order to enhance performance of their enterprises.
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Ивченко, Юлия, and Yuliya Ivchenko. "Company credit policy as a factor in its effective and long-term development." Russian Journal of Management 2, no. 3 (July 1, 2014): 123–36. http://dx.doi.org/10.12737/10590.

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The scientific and practical publications and regulatory sources for essence credit policy of the firm are analyzed. Based on the analysis it was concluded that there is no unified approach to the content of the term «company credit policy». The credit policy of the firm as a set of principles and methods for management of accounts receivable and the provision of trade credit to buyers; management of payables and bank credits as the main sources of borrowed working capital; management of free cash in the form of giving commercial loans to other companies and opening bank deposits examined.
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Şendikici, Pınar. "Process Management and One Example Service Sector." International Journal of Advanced Natural Sciences and Engineering Researches 7, no. 6 (July 25, 2023): 85–88. http://dx.doi.org/10.59287/ijanser.1140.

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The application study has been done in a private bank ABC bank in the form of case study. The observational method and interview method have been used about two types of branch office. A case study will be done about existing branch offices in one of these two branch office types and in the other one about improvement branch office. The information about ABC bank credit operation system has been collected and credit operation process has been explained as systemic in the light of this collected information. The workflow diagrams have been composed by analysing processes. The workflow diagrams have been composed in accordance with credit operation process. The graphics has been drawing in concerned with credit performance of improved branch offices for the purpose of performance review to improvement process. These graphics have been drawing about comparing between cancellations statement and putting into operation of credits that made application covering three months period. Finally, some offers have been presented about pilot branch offices in which improved by bank be subjected to this study.
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Alam, MD Waquar. "INVESTIGATING THE IMPACT OF CREDIT RISK ON FINANCIAL PERFORMANCE OF COMMERCIAL BANK IN INDIA." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (May 2, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem33025.

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In this liberalization period, credit Risk Management has got much importance in the Indian Economy. The main challenges faced by the banking sector today are the challenge of identifying the risk and managing it. The risk is imbibed nature of the banking business. The main role of a bank is of intermediate for those having resources and requiring resources. For risk management various risks like credit risk, market risk or operational risk have to be converted into one composite measure. The importance of credit risk management and its impact on profitability has motivated us to pursue this study. We assume that if the credit risk management is sound, the profit level will be satisfactory. The other way around, if the credit risk management is poor, the profit level will be relatively lower. Because the less the banks loss from credits, the more the banks gain. Therefore, it is necessary that measurement of credit risk should be in tandem with other measurements of operation and market risk so that the requisite composite estimate can be worked out. So, in banking sector credit risk management is being most important task of all. Moreover, the central question is how significant the impact of credit risk management on profitability is. This thesis is an endeavor to find the answer. The principal concern of this thesis is to ascertain to what extent banks can manage their credit risks, what tools or techniques are at their disposal and to what extent their performance can be augmented by proper credit risk management policies and strategies.
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Dissertations / Theses on the topic "Credit Management"

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Roberts, Max F. "Modeling credit risky bonds and credit derivatives." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/10169.

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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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PISANI, FABIO. "Three essays on credit management." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2009. http://hdl.handle.net/2108/1123.

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Nel primo articolo si dimostra che, con contratti standard di debito, ammontare del prestito e profitti del debitore non variano sia quando si tratta di un prestito individuale o di un prestito di gruppo con penalità congiunta, poiché l'effetto positivo del secondo schema sul rischio della banca (e il tasso debitore) è compensato dalla penale congiunta sui debitori. E’ stato anche dimostrato che il prestito partecipato (debito più utili) che riduce i tassi di interesse (rispetto ai contratti di debito standard) genera maggiore richiesta di debito e output, ma inferiori profitti per il debitore. Tali contratti, tuttavia, non può essere usati in presenza informazioni nascoste ex-post, a meno che la verifica ex post da parte del creditore è possibile ed economicamente conveniente. Tuttavia, si dimostra che (un prestito standard o partecipato) il prestito di gruppo ha un vantaggio comparato nel risolvere il problema dell’eterogeneità dei debitori, in quanto, con questi è possibile un menu di contratti che consente di discriminare tra gruppi eterogenei. Infine si dimostra che, sotto certe alcune condizione parametriche, questi contratti garantiscono profitti più elevati per i debitori meno rischiosi rispetto ad un contratto standard di debito individuale. Nel secondo articolo si analizza l'effort di equilibrio dei debitori e il costo dei prestiti di microcredito in presenza di moral hazard, correlazione dei progetti e di sovvenzioni nel caso di prestiti di gruppo. I risultati dimostrano che nel caso di effort endogeno, la correlazione dei progetti ha effetti significativi sull’effort dei debitori solo quando ci sono shock asimmetrici (positivi o negativi). Questi risultati indicano che il ben noto effetto negativo sull’effort nel caso di prestiti di gruppo con penalità congiunta (simmetrico) nel caso di correlazione dei progetti scompare una volta che l’effort è considerato endogeno. Si analizzano inoltre gli effetti delle sovvenzioni ai prestiti (e correlazione asimmetrica) sulla relativa convenienza (in termini di effort del debitore) nel caso di i) prestito di gruppo e prestito individuali con nozionale di garanzia, ii) tra tre diverse strutture di mercato della microfinanza l'industria. Nella terzo articolo si introducono le opzioni reali per individuare la struttura ottima del capitale in presenza di incertezza e distribuzione asimmetrica dei benefici e dei costi tra il debitore e il creditore. Il lavoro analizza sia il contesto uniperiodale sia quello multiperiodale. Il livello ottimale del debito consente di ottenere un equilibrio Pareto efficiente.
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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
Doctoral
Doctor of Philosophy
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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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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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Stoltenberg, Deniz Robert. "Valuation and management of credit exposure." Thesis, Imperial College London, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.417193.

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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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Diop, Sidy <1987&gt. "Credit Risk Management and Jump Models." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amsdottorato.unibo.it/8745/1/Sidy%20Diop%20-%20PhD%20Thesis.pdf.

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This doctoral thesis comprises three research papers that seek to improve and create corporate and sovereign credit risk models, to provide an approximate analytic expressions for CDS spreads and a numerical method for partial differential equation arisen from pricing defaultable coupon bond. First, an extension of Jump to Default Constant Elasticity Variance in more general and realistic framework is provided (see Chapter 3). We incorporate, in the model introduced in [9], a stochastic interest rate with possible negative values. In addition we provide an asymptotic approximation formula for CDS spreads based on perturbation theory. The robustness and efficiency of the method is conformed by several calibration tests on real market data. Next, under the model introduced in Chapter 3, we present in Chapter 4 a new numerical method for pricing non callable defaultable bond. we propose appropriate numerical schemes based on a Crank-Nicolson semi-Lagrangian method for time discretization combined with biquadratic Lagrange finite elements for space discretization. Once the numerical solutions of the PDEs are obtained, a post-processing procedure is carried out in order to achieve the value of the bond. Finally, we introduce a hybrid Sovereign credit risk model in which the intensity of default of a sovereign is based on the jump to default extended CEV model (see Chapter 5). The model captures the interrelationship between creditworthiness of a sovereign, its intensity to default and the correlation with the exchange rate between the bond's currency and the currency in which the CDS spread are quoted. We consider the Sovereign Credit Default Swaps Italy, during and after the financial crisis, as a case of study to show the effectiveness of our model.
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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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Books on the topic "Credit Management"

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Bullivant, Glen. Credit management. 6th ed. Farnham, Surrey, England: Gower, 2010.

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Glen, Bullivant, ed. Credit management. 6th ed. Burlington, VT: Gower, 2010.

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GesmbH, Finanzmarkt Austria Dienstleistungs, ed. Guidelines on credit risk management: Credit approval process and credit risk management. Vienna: Oesterreichische Nationalbank, 2004.

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Basu, Sam N. Strategic credit management. New York: J. Wiley, 1995.

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Hünseler, Michael. Credit Portfolio Management. London: Palgrave Macmillan UK, 2013. http://dx.doi.org/10.1057/9780230391505.

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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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Wells, Ron. Global Credit Management. Oxford, UK: John Wiley & Sons Ltd, 2004. http://dx.doi.org/10.1002/9781118673300.

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Peter, Went, ed. Credit risk management. New Jersey: GARP, 2010.

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Blackstone, D. Laurence. Credit department management. 2nd ed. Philadelphia, Pa: Robert Morris Associates, 1993.

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Smithson, Charles. Credit Portfolio Management. New York: John Wiley & Sons, Ltd., 2003.

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Book chapters on the topic "Credit Management"

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Hagenstein, Frank, and Tim Bangemann. "Credit management." In Active Fixed Income and Credit Management, 124–226. London: Palgrave Macmillan UK, 2002. http://dx.doi.org/10.1057/9780230510494_6.

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Finlay, Steven. "Credit Management." In Consumer Credit Fundamentals, 142–73. London: Palgrave Macmillan UK, 2005. http://dx.doi.org/10.1057/9780230502345_7.

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Finlay, Steven. "Credit Management." In Consumer Credit Fundamentals, 191–220. London: Palgrave Macmillan UK, 2009. http://dx.doi.org/10.1057/9780230232792_9.

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Yhip, Terence M., and Bijan M. D. Alagheband. "Credit Analysis and Credit Management." In The Practice of Lending, 3–46. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-32197-0_1.

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Decker, Olufemi Sallyanne, and Lili Yan. "Credit Unions and Credit Cooperatives." In Encyclopedia of Sustainable Management, 953–64. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-25984-5_524.

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Decker, Olufemi Sallyanne, and Lili Yan. "Credit Unions and Credit Cooperatives." In Encyclopedia of Sustainable Management, 1–11. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-02006-4_524-1.

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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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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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Shi, Yong, Yingjie Tian, Gang Kou, Yi Peng, and Jianping Li. "Personal Credit Management." In Advanced Information and Knowledge Processing, 203–31. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-504-0_13.

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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 "Credit Management"

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Tulum, Catalina. "Credit risk management in banks of the Republic of Moldova." In Simpozion stiintific al tinerilor cercetatori, editia 20. Academy of Economic Studies of Moldova, 2023. http://dx.doi.org/10.53486/9789975359030.60.

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Riscul de credit reprezintă riscul actual sau de viitor ce afectează negativ profiturile sau capitalul băncii ca urmare a neîndeplinirii obligațiilor contractuale de către debitor. Acesta este unul dintre principalele riscuri cu care orice bancă comercială se confruntă iar managementul acestuia reprezintă o parte integrată a proceselor decizionale ale băncii. Gestiunea riscului de credit în bănci cuprinde definirea politicii privind managementul riscurilor în conformitate cu strategia băncii, diversificarea portofoliului de credite, stabilirea limitelor privind riscurile întâlnite, respectarea normativelor stabilite de către Banca Națională a Moldovei. Scopul cercetării vizează importanța gestiunii riscului de credit și îmbunătățirea acestuia pentru o mai bună performanță a băncilor. În urma cercetării s-a concluzionat că gestiunea riscului de credit este importantă întrucât reduce pierderile de venituri. Monitorizarea riscului de credit permite băncilor să analizeze într-o mai mare măsură potențiali clienți, astfel reducând posibilul viitor risc.
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Mach, Maria. "TAL Rules Versus ECA Rules: an Attempt for Comparison in the Credit Management Context." In 2002 Informing Science + IT Education Conference. Informing Science Institute, 2002. http://dx.doi.org/10.28945/2528.

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Credits are the one of the most important functions in bank management, because, from one side, thanks to a good credit policy a bank can earn money, but from the other side, in the case of weak or wrong credit policy the bank can make substantial losses. Therefore in the field of credit policy management, intelligent information systems can be very helpful, as it is a complex and heterogeneous field, needing complex management and decision-making procedures. There exist many technical solutions aimed at helping the decision-makers in this field, from “traditional” ones, as databases, to more sophisticated tools, as for example expert systems, the main aim of which is to perform the analysis of applications for a credit, thus helping to make proper credit decisions. Credit management is closely related to time, in other words, the temporal aspect of credit management can be very clearly seen. Therefore while building intelligent systems in this area, it would be recommended to take this temporal aspect into account. The article concentrates on the question of searching and choosing an intelligent computer tool which would fulfil the above mentioned requirements, the toll which would help to make necessary credit analyses, to make proper credit decisions, taking into account the temporal aspect of credit management. Two solutions are discussed: TAL language and active databases. Some exemplary credit management rules are encoded both in the TAL language and in the form of ECA rules. Both kinds of rules are analysed and discussed, as well as their advantages and disadvantages.
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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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Jilong Wang, Dah Ming Chiu, and John C. S. Lui. "Credit-based network management." In 2009 First International Communication Systems and Networks and Workshops (COMSNETS). IEEE, 2009. http://dx.doi.org/10.1109/comsnets.2009.4808889.

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Curdova, Iulia. "Improving credit risk management in a commercial bank." In Simpozion stiintific al tinerilor cercetatori, editia 20. Academy of Economic Studies of Moldova, 2023. http://dx.doi.org/10.53486/9789975359030.59.

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The article considers the relevance of the problem of credit risk management, the concept and methods of credit risk management, problems and methods of credit risk management. The report was made in order to analyze the shortcomings and improve the management of credit risk in a commercial bank in the Republic of Moldova. The subject of the study is the system of financial relations associated with the implementation of banking activities and the emergence of credit risks. The object of the study is the bank's credit risk arising in the course of lending activities in a commercial bank. The paper considers the theoretical foundations of credit risk management, conducts a financial analysis of the main indicators of credit operations in the banking sector of the Republic of Moldova, identifies the problems of credit risk management, and outlines ways to solve them. In conclusion, recommendations were developed to improve the management of credit risk of commercial banks by minimizing it.
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Song, Zhe, and Yaowu Wang. "Construction Industry Credit Dynamic Monitoring and Credit Repair." In International Conference on Construction and Real Estate Management 2020. Reston, VA: American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784483237.001.

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Vanchukhina, Lyubov, Tatyana Leybert, Yulia Rudneva, Nelli Galeeva, Anastasia Rogacheva, Elvira Khalikova, and Giedrius Ciras. "INTEGRATED ASSESSMENT OF THE CREDIT POLICY EFFICIENCY." In Business and Management 2018. VGTU Technika, 2018. http://dx.doi.org/10.3846/bm.2018.50.

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The credit policy is a basis of receivables management. The competent combination of its parameters allows to increase a greater effect of commercial crediting applying by the company. The purpose of this study is to develop a methodology for assessing the effectiveness of various credit policy types: conservative, moderate and aggressive. The comparative analysis of three methods of assessment of the credit policy efficiency is carried out in the article: The NPV analysis, the valuation model based on the average daily margin and the model for assessing the impact of changes in the company’s credit policy. As a result, the technique of the full and quick estimate methods of the credit policy ef-ficiency, including calculation of individual, intermediate and integrated indicators are offered. The method is based on three groups of the indicators, reflecting the company credit policy efficiency in the following directions: quality receivables management, receivables costs maintenance and influ-ence on a company financial condition. The influence of each of the indicator and indicators groups when using different credit policy’s types were proved in the article and that allowed to transform them to a general integrated indicator. This technique allows to estimate in a complex and objectively efficiency of the credit policy operating in the company.
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Kochański, Błażej. "Economics of credit scoring management." In International Days of Statistics and Economics 2019. Libuše Macáková, MELANDRIUM, 2019. http://dx.doi.org/10.18267/pr.2019.los.186.73.

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Stoilov, Todor, and Krasimira Stoilova. "Credit management by inventory modeling." In APPLICATIONS OF MATHEMATICS IN ENGINEERING AND ECONOMICS (AMEE’22): Proceedings of the 48th International Conference “Applications of Mathematics in Engineering and Economics”. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0178709.

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Zou, Qingquan, Chengnian Long, and Lijun Wei. "CreditBC: Incorporating Blockchain to Credit Management for Cross-domain Service." In 2021 40th Chinese Control Conference (CCC). IEEE, 2021. http://dx.doi.org/10.23919/ccc52363.2021.9550755.

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Reports on the topic "Credit Management"

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Patil, Gitesh. Credit Credit Risk Management Using Hybrid Methodologies. Ames (Iowa): Iowa State University, January 2020. http://dx.doi.org/10.31274/cc-20240624-448.

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Soriano, Alejandro. Oversight Note on Credit Risk Management. Inter-American Development Bank, March 2011. http://dx.doi.org/10.18235/0010447.

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This evaluation examines IDB's management of credit risk of Non-Sovereign Guaranteed Operations. Although the IDB is not subject to the Principles for the Management of Credit Risk issued by the Basel Committee for Banking Supervision, these principles have been used as guidelines for this assessment. It can be concluded that the IDB largely complies with Basel's credit risk management principles. To further develop what is already a solid foundation for its credit risk management system, it is recommended that the IDB adopts a comprehensive Credit Risk Framework that clearly defines its risk appetite for NSG. Such framework should spell out the objectives and procedures supporting the desired NSG loan/guarantee portfolio. The strengthening of the Portfolio Management Function is also recommended to complement the current credit administration and risk management functions being carried out by the originating divisions within SCF and OMJ, PMU and RMG. The IDB should also address the risks posed by the current absence of an integrated information system to support the loan/guarantee granting, administration, risk and portfolio management.
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Lee, Jongsub, Junho Oh, and David Yermack. Credit Default Swaps, Agency Problems, and Management Incentives. Cambridge, MA: National Bureau of Economic Research, November 2017. http://dx.doi.org/10.3386/w24064.

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Stiglitz, Joseph. Macro-economic Management in an Electronic Credit/Financial System. Cambridge, MA: National Bureau of Economic Research, January 2017. http://dx.doi.org/10.3386/w23032.

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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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Gutiérrez, José E., and Luis Fernández Lafuerza. Credit line runs and bank risk management: evidence from the disclosure of stress test results. Madrid: Banco de España, December 2022. http://dx.doi.org/10.53479/25006.

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As noted in recent literature, firms can run on credit lines due to fear of future credit restrictions. We exploit the 2011 stress test supervised by the European Banking Authority (EBA) and the Spanish Central Credit Register to explore: 1) the occurrence and magnitude of these runs after the release of negative stress test results; and 2) banks’ behaviour before and after the release of this information. We find that, following the release of the results, firms drew down approximately 10 pp more available funds from lines granted by banks that had a worse performance in the stress test. Moreover, before the release date, poorer performing banks were more likely to reduce the size of credit lines, while those with more significant balances of undrawn credit lines were more likely to cut term lending.
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Gutiérrez, José E., and Luis Fernández Lafuerza. Credit line runs and bank risk management: evidence from the disclosure of stress test results. Madrid: Banco de España, January 2023. http://dx.doi.org/10.53479/24998.

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As noted in recent literature, firms can run on credit lines due to fear of future credit restrictions. We exploit the 2011 stress test supervised by the European Banking Authority (EBA) and the Spanish Central Credit Register to explore: 1) the occurrence and magnitude of these runs after the release of negative stress test results; and 2) banks’ behaviour before and after the release of this information. We find that, following the release of the results, firms drew down approximately 10 pp more available funds from lines granted by banks that had a worse performance in the stress test. Moreover, before the release date, poorer performing banks were more likely to reduce the size of credit lines, while those with more significant balances of undrawn credit lines were more likely to cut term lending.
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Andreasen, Eugenia, and Victoria Nuguer. Capital Flow Management Measures and Dollarization. Inter-American Development Bank, December 2020. http://dx.doi.org/10.18235/0002905.

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This paper studies from an empirical and theoretical perspective the systemic and bank-level effects of imposing reserve requirements (RR) in foreign currency in an economy with a heavily dollarized financial system. The paper empirically characterizes banks responses to the RR carried out by the Peruvian Central Bank since 2008 with the objective of stabilizing the financial market and meeting its policy targets. The results suggest that the RR is effective in reducing the overall level of credit in the economy and that banks response in terms of credit and deposits is very heterogeneous depending on their ex ante preference for foreign funding ratio, i.e., the ratio of deposits in dollars to total loans. Motivated by the empirical insights, the paper builds a DSGE small-open-economy model with financial frictions à la Gertler-Karadi-Kiyotaki, where bank heterogeneity and financial dollarization are introduced to evaluate the effectiveness of the differential RR in reducing financial dollarization and improving financial resilience.
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Presbitero, Andrea, Roberta Rabellotti, and Claudia Piras. Definitions Matter: Measuring Gender Gaps in Firms' Access to Credit. Inter-American Development Bank, October 2013. http://dx.doi.org/10.18235/0006976.

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Standards measures of female ownership and management of firms included in the World Bank Enterprise Survey do not support the existence of a gender gap in access to finance in the Latin American and Caribbean region. Nonetheless, more precise measures show that women-led businesses are more likely to be financially constrained than other comparable firms. The evidence presented herein suggests that this gender gap may be driven by taste-based discrimination. This paper exploits a rich dataset that provides detailed information about female ownership and management in firms, allowing for further understanding of gender gaps in access to finance.
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Trivelli, Carolina, Sergio Navajas, Mark D. Wenner, and Alvaro Tarazona. Managing Credit Risk in Rural Financial Institutions in Latin America. Inter-American Development Bank, May 2007. http://dx.doi.org/10.18235/0008848.

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The purpose of this report is to review common credit risk management techniques used in a sample of Latin American financial institutions with agricultural portfolios, identify the factors that contribute to successful credit risk management as measured by several key financial performance indicators in order to assist donors, governments, and owners of financial institutions to promote and adopt the most efficient and robust techniques. This report also examines a sample of 42 financial institutions in Latin America that have agricultural portfolios, and identifies their principal perceived risks, how they asses and manage credit risk, and how effective they are in the process as measured by key financial performance indicators (such as asset quality, portfolio growth, and profit margins).
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