Academic literature on the topic 'Counterparty risks'
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Journal articles on the topic "Counterparty risks"
Kim, Hwa-Sung. "A Structural Model with Counterparty Risks." Journal of Derivatives and Quantitative Studies 18, no. 3 (August 31, 2010): 25–40. http://dx.doi.org/10.1108/jdqs-03-2010-b0002.
Full textTrifonov, Yu V., and E. A. Fomina. "Enterprise Counterparty Risk Assessment Principles." Issues of Risk Analysis 19, no. 1 (February 22, 2022): 42–52. http://dx.doi.org/10.32686/1812-5220-2022-19-1-42-52.
Full textKoltays, Andrey, Anton Konev, and Alexander Shelupanov. "Mathematical Model for Choosing Counterparty When Assessing Information Security Risks." Risks 9, no. 7 (July 13, 2021): 133. http://dx.doi.org/10.3390/risks9070133.
Full textCHEN, XINFU, PENG HE, JING LIU, and SHUAI ZHAO. "Mathematical analysis of a credit default swap with counterparty risks." European Journal of Applied Mathematics 31, no. 5 (September 9, 2019): 737–62. http://dx.doi.org/10.1017/s0956792519000226.
Full textKang, Jangkoo, and Hwa-Sung Kim. "Pricing counterparty default risks: Applications to FRNs and vulnerable options." International Review of Financial Analysis 14, no. 3 (January 2005): 376–92. http://dx.doi.org/10.1016/j.irfa.2004.10.002.
Full textZhi, Kangquan, Jie Guo, and Xiaosong Qian. "Basket Credit Derivative Pricing in a Markov Chain Model with Interacting Intensities." Mathematical Problems in Engineering 2020 (October 16, 2020): 1–17. http://dx.doi.org/10.1155/2020/5369879.
Full textCandrayani, Yeli, and Asikum Wirataatmadja. "PENGARUH RESOURCES, COUNTERPARTY DAN WEATHER RISKS TERHADAP KETEPATAN WAKTU PENYELESAIAN PROYEK SERTA DAMPAKNYA TERHADAP PROJECT COST PERFORMANCE." JURNAL INFORMASI, PERPAJAKAN, AKUNTANSI, DAN KEUANGAN PUBLIK 10, no. 2 (May 10, 2019): 111. http://dx.doi.org/10.25105/jipak.v10i2.4552.
Full textZarhana, Rahayu. "Analysis of the Application of Waqf Core Principle in Risk Management Case Study: the Waqf Maintenance and Development Foundation of Pondok Modern Darussalam Gontor." Al-Awqaf: Jurnal Wakaf dan Ekonomi Islam 15, no. 2 (December 2, 2022): 44–60. http://dx.doi.org/10.47411/al-awqaf.vol15iss2.162.
Full textHe, Taoshun. "Explicit Pricing Formulas for European Option with Asset Exposed to Double Defaults Risk." Discrete Dynamics in Nature and Society 2018 (June 25, 2018): 1–8. http://dx.doi.org/10.1155/2018/8362912.
Full textHe, Taoshun. "Option Pricing for Path-Dependent Options with Assets Exposed to Multiple Defaults Risk." Discrete Dynamics in Nature and Society 2020 (February 12, 2020): 1–13. http://dx.doi.org/10.1155/2020/2418620.
Full textDissertations / Theses on the topic "Counterparty risks"
Leung, Seng Yuen. "Analysis of counterparty risks and derivative pricing under stochastic volatility /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?MATH%202004%20LEUNG.
Full textIncludes bibliographical references (leaves 120-131). Also available in electronic version. Access restricted to campus users.
Ruan, Zheng. "CDS pricing with counterparty risk." Thesis, Imperial College London, 2010. http://hdl.handle.net/10044/1/6083.
Full textZhang, Yang (Stephen). "Counterparty credit risk, funding risk and central clearing." Thesis, Imperial College London, 2015. http://hdl.handle.net/10044/1/61334.
Full textStarlander, Isak. "Counterparty Credit Risk on the Blockchain." Thesis, KTH, Matematisk statistik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-215493.
Full textMotpartsrisk är närvarande i finansiella obligationer. Den här uppsatsen un- dersöker den lovande teknologin blockkedjan och hur den kan användas för att reducera motpartsrisk. Studien har för avsikt att täcka det essentiel- la i den matematiska modellen för förväntad förlust, samt en introduktion om blockkedjeteknologi. Efter att ha modellerat ett enkelt smart kontrakt, där historiska finansiella data använts, var det tydligt att det kan finnas en möjlighet att reducera motpartsrisk med hjälp av blockkedjan. Från mark- nadsundersökningen gjord i studien var det uppenbart att den nuvarande finansiella marknaden är i stort behov av mer utbildning om blockkedjan.
Li, Wang. "Default contagion modelling and counterparty credit risk." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/default-contagion-modelling-and-counterparty-credit-risk(76eee42a-d83d-4af9-956e-050615298b65).html.
Full textWang, Sijing. "Counterparty risk nodelling of fixed income derivatives." Thesis, University of Reading, 2017. http://centaur.reading.ac.uk/78071/.
Full textHegre, Håvard. "Interest rate modeling with applications to counterparty risk." Thesis, Norwegian University of Science and Technology, Department of Mathematical Sciences, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9470.
Full textThis thesis studies the estimation of credit exposure arising from a portfolio of interest rate derivatives. The estimation is performed using a Monte Carlo simulation. The results are compared to the exposure obtained under the current exposure method provided by the Bank for International Settlements (BIS). We show that the simulation method provides a much richer set of information for credit risk managers. Also, depending on the current exposure and the nature of the transactions, the BIS method can fail to account for potential exposure. All test portfolios benefit significantly from a netting agreement, but the BIS approach tends to overestimate the risk reduction due to netting. In addition we examine the impact of antithetic variates and different time-discretizations. We find that a discretization based on derivatives' start and maturity dates may reduce simulation time significantly without loosing generality in exposure profiles. Antithetic variates have a small effect.
Nguyen, Tuyet Mai. "Malliavin calculus for Markov chains and counterparty risk." Thesis, Evry-Val d'Essonne, 2015. http://www.theses.fr/2015EVRY0022/document.
Full textThis thesis deals with two areas of stochastic analysis and mathematical finance: Malliavin calculus for Markov chains (Part I) and counterparty risk (Part II). Part I is devoted to the study of Malliavin calculus for continuous-time Markov chains, in two respects: proving the existence of a density for the solution of a stochastic differential equation and computing sensitivities of financial derivatives. Part II addresses topical issues in interest rates and credit, namely XVA (pricing adjustments) and multicurve modeling
Lundström, Love, and Oscar Öhman. "Backtesting of simulated method for Counterparty Credit Risk." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-173284.
Full textWu, Dong Li. "Density models and applications to counterparty credit risk." Thesis, Evry-Val d'Essonne, 2013. http://www.theses.fr/2013EVRY0035/document.
Full textThis thesis is about density models of default times and applications to credit and counterparty risk. The rest part is a theoretical contribution to the study of projections on different filtrations of the Radon-Nikodym density of a measure change. The main result is a characterization of the measure changes preserving immersion in a density setup, obtained by application of our projection formulas. The second part is about an informational dynamization of the Gaussian copula model of portfolio credit risk, resulting in a density model of default times suitable to del with dynamic issues such as hedging of CDO through CDS or counterparty risk on credit derivatives. Here the main contributions are the introduction of the dynamic perspective, which allows one to give a theoretical justification to the Gaussian copula bump sensitivities used by practioners, and the application to CVA computations on CDS
Books on the topic "Counterparty risks"
Brigo, Damiano, Massimo Morini, and Andrea Pallavicini. Counterparty Credit Risk, Collateral and Funding. Chichester, UK: John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118818589.
Full textGregory, Jon. Counterparty Credit Risk and Credit Value Adjustment. Oxford, UK: John Wiley & Sons Ltd, 2012. http://dx.doi.org/10.1002/9781118673638.
Full textAcharya, Viral V. Counterparty risk externality: Centralized versus over-the-counter markets. Cambridge, MA: National Bureau of Economic Research, 2011.
Find full textThe risk controllers: Central counterparty clearing in globalised financial markets. Chichester, West Sussex, U.K: Wiley, 2011.
Find full textCounterparty credit risk: The new challenge for global financial markets. Chichester, West Sussex: Wiley, 2010.
Find full textBomfim, Antúlio N. Counterparty credit risk in interest rate swaps during times of market stress. Washington, D.C: Federal Reserve Board, 2003.
Find full textWhite, Eugene N. The crash of 1882, counterparty risk, and the bailout of the Paris Bourse. Cambridge, Mass: National Bureau of Economic Research, 2007.
Find full textModelling, pricing, and hedging counterparty credit exposure: A technical guide. Heidelberg: Springer, 2009.
Find full textJon, Gregory. Counterparty credit risk and credit value adjustment: A continuing challenge for global financial markets. 2nd ed. Hoboken, N.J: Wiley, 2012.
Find full textRiva, Angelo. Danger on the exchange: How counterparty risk was managed on the Paris Bourse in the nineteenth century. Cambridge, MA: National Bureau of Economic Research, 2010.
Find full textBook chapters on the topic "Counterparty risks"
Hünseler, Michael. "CDS: Hedging of Issuer and Counterparty Risks." In Credit Portfolio Management, 165–206. London: Palgrave Macmillan UK, 2013. http://dx.doi.org/10.1057/9780230391505_7.
Full textOverdahl, James. "Counterparty Credit Risk." In Financial Derivatives, 283–94. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118266403.ch20.
Full textBrockhaus, Oliver. "Counterparty Credit Risk." In Equity Derivatives and Hybrids, 201–21. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/9781137349491_14.
Full textStein, Harvey J., and Kin Pong Lee. "Counterparty Valuation Adjustments." In Credit Risk Frontiers, 485–506. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118531839.ch15.
Full textGarcía, Francisco Javier Población. "Derivative Credit Risk (Counterparty Risk)." In Financial Risk Management, 265–73. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-41366-2_12.
Full textCesari, Giovanni, John Aquilina, Niels Charpillon, Zlatko Filipović, Gordon Lee, and Ion Manda. "Pricing Counterparty Credit Risk." In Modelling, Pricing, and Hedging Counterparty Credit Exposure, 215–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04454-0_14.
Full textMäntysaari, Petri. "Management of Counterparty Risk." In The Law of Corporate Finance: General Principles and EU Law, 187–238. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03055-0_6.
Full textRuiz, Ignacio. "Pricing Counterparty Credit Risk." In XVA Desks — A New Era for Risk Management, 126–42. London: Palgrave Macmillan UK, 2015. http://dx.doi.org/10.1057/9781137448200_8.
Full textScandizzo, Sergio. "Counterparty Credit Risk Models." In The Validation of Risk Models, 139–52. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/9781137436962_10.
Full textCarlone, Giulio. "Compute Exposure by Counterparty." In Introduction to Credit Risk, 29–36. First edition | Boca Raton : C&H/CRC Press, 2020. |: Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9781003036944-6.
Full textConference papers on the topic "Counterparty risks"
Chen Yang, Qunfang Bao, Shenghong Li, and Guimei Liu. "Pricing credit spread option with counterparty risk." In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). IEEE, 2010. http://dx.doi.org/10.1109/iccasm.2010.5622881.
Full textAlbanese, Claudio. "Coherent global market simulations for counterparty credit risk." In 2010 Workshop on High Performance Computational Finance at SC10 (WHPCF). IEEE, 2010. http://dx.doi.org/10.1109/whpcf.2010.5671842.
Full textZou, Hui-Wen, and Li-Li Miao. "The Counterparty Credit Risk of CDS Based on Information Game Model." In 2011 International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). IEEE, 2011. http://dx.doi.org/10.1109/iciii.2011.56.
Full textEdge, Paul. "An approximation of counterparty credit risk in long term power purchase agreements (PPAs)." In 2015 12th International Conference on the European Energy Market (EEM). IEEE, 2015. http://dx.doi.org/10.1109/eem.2015.7216645.
Full textCrépey, S., M. Jeanblanc, and B. Zargari. "Counterparty Risk on a CDS in a Markov Chain Copula Model with Joint Defaults." In Proceedings of the KIER-TMU International Workshop on Financial Engineering 2009. WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814304078_0004.
Full textWang, Amy, Lior Velichover, James Sedgwick, Louis Ly, Jan Treibig, Bob Blainey, Peng Wu, et al. "Optimizing IBM algorithmics' mark-to-future aggregation engine for real-time counterparty credit risk scoring." In the 6th Workshop. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2535557.2535567.
Full textLaconte, Johann, Christophe Debain, Roland Chapuis, Francois Pomerleau, and Romuald Aufrere. "Lambda-Field: A Continuous Counterpart of the Bayesian Occupancy Grid for Risk Assessment." In 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2019. http://dx.doi.org/10.1109/iros40897.2019.8968100.
Full textLaconte, Johann, Elie Randriamiarintsoa, Abderrahim Kasmi, Francois Pomerleau, Roland Chapuis, Christophe Debain, and Romuald Aufrere. "Dynamic Lambda-Field: A Counterpart of the Bayesian Occupancy Grid for Risk Assessment in Dynamic Environments." In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2021. http://dx.doi.org/10.1109/iros51168.2021.9636804.
Full textCrespo, Daniel, Jesus Gil, Alberto Gomez, and Enrique Mota. "Grid solution for market and counterparty risk calculation. Real life problems from the point of view of the system developer." In 1st International Workshop on Grid Technology for Financial Modeling and Simulation. Trieste, Italy: Sissa Medialab, 2007. http://dx.doi.org/10.22323/1.026.0005.
Full textLiu, Bin, and Rajeev K. Jaiman. "The Effect of Gap Flow on Vortex-Induced Vibration of Side-by-Side Cylinder Arrangement." In ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/omae2016-54736.
Full textReports on the topic "Counterparty risks"
León-Rincón, Carlos Eduardo, and Miguel Sarmiento. Liquidity and counterparty risks tradeoff in money market networks. Bogotá, Colombia: Banco de la República, April 2016. http://dx.doi.org/10.32468/be.936.
Full textFarboodi, Maryam. Intermediation and Voluntary Exposure to Counterparty Risk. Cambridge, MA: National Bureau of Economic Research, November 2021. http://dx.doi.org/10.3386/w29467.
Full textAcharya, Viral, and Alberto Bisin. Counterparty Risk Externality: Centralized Versus Over-the-counter Markets. Cambridge, MA: National Bureau of Economic Research, April 2011. http://dx.doi.org/10.3386/w17000.
Full textLevich, Richard. FX Counterparty Risk and Trading Activity in Currency Forward and Futures Markets. Cambridge, MA: National Bureau of Economic Research, July 2012. http://dx.doi.org/10.3386/w18256.
Full textBernstein, Asaf, Eric Hughson, and Marc Weidenmier. Counterparty Risk and the Establishment of the New York Stock Exchange Clearinghouse. Cambridge, MA: National Bureau of Economic Research, September 2014. http://dx.doi.org/10.3386/w20459.
Full textWhite, Eugene. The Crash of 1882, Counterparty Risk, and the Bailout of the Paris Bourse. Cambridge, MA: National Bureau of Economic Research, February 2007. http://dx.doi.org/10.3386/w12933.
Full textRiva, Angelo, and Eugene White. Danger on the Exchange: How Counterparty Risk Was Managed on the Paris Bourse in the Nineteenth Century. Cambridge, MA: National Bureau of Economic Research, January 2010. http://dx.doi.org/10.3386/w15634.
Full textEnvironmental factors linked with identifying as a sexual minority may increase suicidality risk. ACAMH, March 2021. http://dx.doi.org/10.13056/acamh.15070.
Full textDepressed mothers and their offspring differ in terms of health risk profiles and allostatic load. ACAMH, October 2020. http://dx.doi.org/10.13056/acamh.13527.
Full textPayment Systems Report - June of 2021. Banco de la República, February 2022. http://dx.doi.org/10.32468/rept-sist-pag.eng.2021.
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