04748nam 2200721z- 450 991055740360332120231214132842.0(CKB)5400000000043640(oapen)https://directory.doabooks.org/handle/20.500.12854/68700(EXLCZ)99540000000004364020202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierAdvances in Credit Risk Modeling and ManagementBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 electronic resource (190 p.)3-03928-760-5 3-03928-761-3 Credit risk remains one of the major risks faced by most financial and credit institutions. It is deeply connected to the real economy due to the systemic nature of some banks, but also because well-managed lending facilities are key for wealth creation and technological innovation. This book is a collection of innovative papers in the field of credit risk management. Besides the probability of default (PD), the major driver of credit risk is the loss given default (LGD). In spite of its central importance, LGD modeling remains largely unexplored in the academic literature. This book proposes three contributions in the field. Ye & Bellotti exploit a large private dataset featuring non-performing loans to design a beta mixture model. Their model can be used to improve recovery rate forecasts and, therefore, to enhance capital requirement mechanisms. François uses instead the price of defaultable instruments to infer the determinants of market-implied recovery rates and finds that macroeconomic and long-term issuer specific factors are the main determinants of market-implied LGDs. Cheng & Cirillo address the problem of modeling the dependency between PD and LGD using an original, urn-based statistical model. Fadina & Schmidt propose an improvement of intensity-based default models by accounting for ambiguity around both the intensity process and the recovery rate. Another topic deserving more attention is trade credit, which consists of the supplier providing credit facilities to his customers. Whereas this is likely to stimulate exchanges in general, it also magnifies credit risk. This is a difficult problem that remains largely unexplored. Kanapickiene & Spicas propose a simple but yet practical model to assess trade credit risk associated with SMEs and microenterprises operating in Lithuania. Another topical area in credit risk is counterparty risk and all other adjustments (such as liquidity and capital adjustments), known as XVA. Chataignier & Crépey propose a genetic algorithm to compress CVA and to obtain affordable incremental figures. Anagnostou & Kandhai introduce a hidden Markov model to simulate exchange rate scenarios for counterparty risk. Eventually, Boursicot et al. analyzes CoCo bonds, and find that they reduce the total cost of debt, which is positive for shareholders. In a nutshell, all the featured papers contribute to shedding light on various aspects of credit risk management that have, so far, largely remained unexplored.Coins, banknotes, medals, seals (numismatics)bicsscrecovery ratesbeta regressioncredit riskcontingent convertible debtfinancial modellingrisk managementfinancial crisisrecovery rateloss given defaultmodel ambiguitydefault timeno-arbitragereduced-form HJM modelsrecovery processCounterparty Credit RiskHidden Markov ModelRisk Factor EvolutionBacktestingFX rateGeometric Brownian Motiontrade creditsmall and micro-enterprisesfinancial non-financial variablesrisk assessmentlogistic regressionprobability of defaultwrong-way riskdependenceurn modelcounterparty riskcredit valuation adjustment (CVA)XVA (X-valuation adjustments) compressiongenetic algorithmCoins, banknotes, medals, seals (numismatics)Vrins Frédéricedt1328358Vrins FrédéricothBOOK9910557403603321Advances in Credit Risk Modeling and Management3038520UNINA01831nam 2200445 450 991079289200332120231110225231.02-8062-9261-1(CKB)3710000001090453(MiAaPQ)EBC4815498(Au-PeEL)EBL4815498(CaPaEBR)ebr11354847(OCoLC)974372539(PPN)258896949(EXLCZ)99371000000109045320220521d2017 uy 0freurcnu||||||||txtrdacontentcrdamediacrrdacarrierLe Barbier de Séville de Beaumarchais (Analyse de L'oeuvre) Analyse Complete et Resume detaille de L'oeuvre /Annabelle Falmagne, Helene DupuisCork, Ireland :Lemaitre Publishing,[2017]©20171 online resource (37 pages)Fiche de Lecture Intro -- Beaumarchais -- Le Barbier de Séville ou la Précaution inutile -- Résumé -- Acte I -- Acte II -- Acte III -- Acte IV -- Étude des personnages -- Le comte Almaviva -- Figaro -- Rosine -- Bartholo -- Bazile -- Clés de lecture -- Une comédie, entre tradition et nouveauté -- Les procédés comiques -- Le titre de pièce -- Les sources du Barbier de Séville -- Le Siècle des Lumières -- Une critique du pouvoir et de ses abus -- Pistes de réflexion.Fiche de Lecture OperasVocal scores with pianoOperas782.812Falmagne Annabelle848519Dupuis HeleneMiAaPQMiAaPQMiAaPQBOOK9910792892003321Le Barbier de Séville de Beaumarchais (Analyse de L'oeuvre)3775166UNINA