Prof. dr. B.D. (Drona) Kandhai
Faculty of Science
Informatics Institute
Visiting address
- Science Park 900
Postal address
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Postbus 94323
1090 GH Amsterdam
Contact details
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Publications
2023
Boersma, M., Wolsink, J., Sourabh, S., Hoogduin, L. A., & Kandhai, D. (2023). Measure cross-sectoral structural similarities from financial networks. Scientific Reports, 13, Article 7124. https://doi.org/10.1038/s41598-023-34034-w [details]- Hoencamp, J., Jain, S., & Kandhai, D. (2023). A Semi-Static Replication Method for Bermudan Swaptions under an Affine Multi-Factor Model. Risks, 11(10), Article 168. https://doi.org/10.3390/risks11100168 [details]
2022
- Hoencamp, J. H., de Kort, J. P., & Kandhai, B. D. (2022). The Impact of Stochastic Volatility on Initial Margin and MVA for Interest Rate Derivatives. Applied Mathematical Finance, 29(2), 141-179. https://doi.org/10.1080/1350486X.2022.2156900 [details]
2021
- Anagnostou, I., Squartini, T., Kandhai, D., & Garlaschelli, D. (2021). Uncovering the mesoscale structure of the credit default swap market to improve portfolio risk modelling. Quantitative Finance, 21(9), 1501-1518. https://doi.org/10.1080/14697688.2021.1890807 [details]
2020
- Anagnostou, I., Sanchez Rivero, J., Sourabh, S., & Kandhai, D. (2020). Contagious defaults in a credit portfolio: a Bayesian network approach. Journal of Credit Risk, 16(1), 1-26. Advance online publication. https://doi.org/10.2139/ssrn.3446615, https://doi.org/10.21314/JCR.2020.257 [details]
- Boersma, M., Maliutin, A., Sourabh, S., Hoogduin, L. A., & Kandhai, D. (2020). Reducing the complexity of financial networks using network embeddings. Scientific Reports, 10, Article 17045. https://doi.org/10.1038/s41598-020-74010-2 [details]
2019
- Anagnostou, I., & Kandhai, D. (2019). Risk Factor Evolution for Counterparty Credit Risk under a Hidden Markov Model. Risks, 7(2), Article 66. https://doi.org/10.3390/risks7020066 [details]
- Moysiadis, G., Anagnostou, I., & Kandhai, D. (2019). Calibrating the Mean-Reversion Parameter in the Hull-White Model Using Neural Networks. In C. Alzate, & A. Monreale (Eds.), ECML PKDD 2018 Workshops: MIDAS 2018 and PAP 2018, Dublin, Ireland, September 10-14, 2018 : proceedings (pp. 23-36). (Lecture Notes in Computer Science; Vol. 11054), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-030-13463-1_2 [details]
2018
- Anagnostou, I., Sourabh, S., & Kandhai, D. (2018). Incorporating Contagion in Portfolio Credit Risk Models Using Network Theory. Complexity, 2018, Article 6076173. https://doi.org/10.1155/2018/6076173 [details]
- Boersma, M., Sourabh, S., Hoogduin, L., & Kandhai, D. (2018). Financial statement networks: an application of network theory in audit. The Journal of Network Theory in Finance, 4(4), 59-85. https://doi.org/10.21314/JNTF.2018.048 [details]
- Sourabh, S., Hofer, M., & Kandhai, D. (2018). Liquidity risk in derivatives valuation: an improved credit proxy method. Quantitative Finance, 18(3), 467-481 . Advance online publication. https://doi.org/10.1080/14697688.2017.1315166 [details]
2017
- de Graaf, C. S. L., Kandhai, D., & Sloot, P. M. A. (2017). Efficient Estimation of Sensitivities for Counterparty Credit Risk with the Finite Difference Monte Carlo Method. Journal of Computational Finance, 21(1), 83-113. Advance online publication. https://doi.org/10.2139/ssrn.2521431, https://doi.org/10.21314/JCF.2016.325 [details]
2016
- Simaitis, S., de Graaf, C. S. L., Hari, N., & Kandhai, D. (2016). Smile and Default: The Role of Stochastic Volatility and Interest Rates in Counterparty Credit Risk. Quantitative Finance, 16(11), 1725-1740. https://doi.org/10.1080/14697688.2016.1176240 [details]
2014
- Savickas, V., Hari, N., Wood, T., & Kandhai, D. (2014). Super Fast Greeks: An Application to Counterparty Valuation Adjustments. Wilmott, 69, 76-80. https://doi.org/10.1002/wilm.10291 [details]
- de Graaf, C. S. L., Feng, Q., Kandhai, D., & Oosterlee, C. W. (2014). Efficient Computation of Exposure Profiles for Counterparty Credit Risk. International Journal of Theoretical and Applied Finance, 17(4), Article 1450024. https://doi.org/10.1142/S0219024914500241 [details]
2013
- Quax, R., Kandhai, D., & Sloot, P. M. A. (2013). Information dissipation as an early-warning signal for the Lehman Brothers collapse in financial time series. Scientific Reports, 3, Article 1898. https://doi.org/10.1038/srep01898 [details]
2012
- Qiu, G., Kandhai, D., Johnson, N. F., & Sloot, P. M. A. (2012). Understanding complex dynamics in derivatives finance: why do options markets smile? Advances in Complex Systems, 15(5), Article 1250050. https://doi.org/10.1142/S0219525912500506 [details]
2010
- Qiu, G., Kandhai, D., & Sloot, P. M. A. (2010). Modeling options markets by focusing on active tradersr. Procedia Computer Science, 1(1), 2457-2462. https://doi.org/10.1016/j.procs.2010.04.277 [details]
2007
- Qiu, G., Kandhai, B. D., & Sloot, P. M. A. (2007). Understanding the complex dynamics of stock markets through cellular automata. Physical Review E, 75, 046116. http://www.science.uva.nl/research/scs/papers/archive/Qiu2007a.pdf [details]
2006
- Kromkamp, J., van den Ende, D., Kandhai, B. D., Sman, R. G. M., & Boom, R. M. (2006). Lattice Boltzmann simulation of 2D and 3D non-Brownian suspensions in Couette flow. Chemical Engineering Science, 61, 858-873. https://doi.org/10.1016/j.ces.2005.08.011 [details]
2005
- Kromkamp, J., van den Ende, D., Kandhai, B. D., Sman, R. G. M., & Boom, R. M. (2005). Shear-induced self-diffusion and microstructure in non-Brownian suspensions at non-zero Reynolds numbers. Journal of Fluid Mechanics, 529, 253-278. https://doi.org/10.1017/S0022112005003551 [details]
- Rohde, M., Kandhai, B. D., & den Akker, H. E. A. V. (2005). A generic, mass conservative local grid refinement technique for lattice-Boltzmann schemes. International Journal for Numerical Methods in Fluids, 51, 439-468. https://doi.org/10.1002/fld.1140
2004
- Artoli, A. M. M., Kandhai, D., Hoefsloot, H. C. J., Hoekstra, A. G., & Sloot, P. M. A. (2004). Lattice BGK simulations of flow in a symmetric bifurcation. Future Generation Computer Systems, 20(6), 909-916. https://doi.org/10.1016/j.future.2003.12.002 [details]
- Hlushkou, D., Kandhai, B. D., Seidel-Morgenstern, A., & Tallarek, U. (2004). Coupled lattice-Boltzmann method and finite-difference simulations of electroosmosis in microfluidic channels. International Journal for Numerical Methods in Fluids, 507-532. http://www3.interscience.wiley.com/cgi-bin/fulltext/112210359/PDFSTART
- van Wageningen, W. F. C., Kandhai, B. D., Mudde, R. F., & van den Akker, H. E. A. (2004). Dynamic flow in a Kenics static mixer: An assessment of various CFD methods. AIChE Journal, 50, 1684-1696. https://doi.org/10.1002/aic.10178
2003
- Artoli, A. M. M., Kandhai, B. D., Hoefsloot, H. C. J., Hoekstra, A. G., & Sloot, P. M. A. (2003). Lattice Boltzmann, a robust and accurate solver for interactive computational hemodynamics. In P. M. A. Sloot, D. Abrahamson, A. V. Bagdanov, J. J. Dongarra, A. Y. Zomaya, & Y. E. Gorbachev (Eds.), Computational Science - ICCS 2003 (Vol. 2657, pp. 1034-1043). Melbourne, Australia and St. Petersburg, Russia: Springer Verlag. [details]
- Kandhai, B. D., Derksen, J. J., & den Akker, H. E. A. V. (2003). Interphase drag coefficients in gas-solid flows. AIChE Journal, 49, 1060-1065. https://doi.org/10.1002/aic.690490423
- Rohde, M., Kandhai, B. D., Derksen, J. J., & den Akker, H. E. A. V. (2003). Improved bounce-back methods for no-slip walls in lattice-Boltzmann schemes: Theory and simulations. Physical Review E, 67, 066703.
2002
- Kandhai, B. D., Hlushkou, D., Hoekstra, A. G., Sloot, P. M. A., van As, H., & Tallarek, U. (2002). Influence of Stagnant Zones on Transient and Asymptotic Dispersion in Macroscopically Homogeneous Porous Media. Physical Review Letters, 88(23), 1-4. [details]
- Kandhai, B. D., Tallarek, U., Hlushkou, D., Hoekstra, A., Sloot, P. M. A., & Van As, H. (2002). Numerical simulation and measurement of liquid hold-up in biporous media containing discrete stagnant zones. Philosophical Transactions of the Royal Society A - Mathematical, Physical and Engineering Sciences, 360(1792), 521-534. https://doi.org/10.1098/rsta.2001.0952 [details]
2001
- Artoli, A. M. M., Kandhai, B. D., Hoefsloot, H. G., Hoekstra, A. G., & Sloot, P. M. A. (2001). Shear Stress in Lattice Boltzmann Simulations. In F. Hossfeld, & K. Binder (Eds.), Europhysics Conference on Computational Physics in series Publication Series of the John von Neumann Institute for computing (Vol. 8, pp. A127) [details]
- Kandhai, B. D., Koponen, A., Hoekstra, A. G., & Sloot, P. M. A. (2001). Iterative momentum relaxation for fast lattice-Boltzmann Simulations. Future Generation Computer Systems, 18(1), 89-96. https://doi.org/10.1016/S0167-739X(00)00078-9 [details]
2000
- Bal, H., Bhoedjang, R., Hofman, R., Jacobs, C., Kielmann, T., Maassen, J., van Nieuwpoort, R., Romein, J., Renambot, L., Rühl, T., Veldema, R., Verstoep, K., Baggio, A., Ballintijn, G., Kuz, I., Pierre, G., van Steen, M., Tanenbaum, A., Doornbos, G., ... van der Steen, A. (2000). The Distributed ASCI supercomputer project. Operating Systems Review, 34(4), 76-96. https://doi.org/10.1145/506106.506115 [details]
- Claque, D. S., Kandhai, B. D., Zhang, R., & Sloot, P. M. A. (2000). On the Hydraulic Permeability of (Un)Bounded Fibrous Media Using the Lattice-Boltzmann Method. Physical Review E, 61(1), 616-625. https://doi.org/10.1103/PhysRevE.61.616 [details]
- Kandhai, B. D., Soll, W., Chen, S., Hoekstra, A. G., & Sloot, P. M. A. (2000). Finite-Difference Lattice-BGK Methods on Nested Grids. Computer Physics Communications, 129, 100-109. https://doi.org/10.1016/S0010-4655(00)00097-7 [details]
2020
- Sourabh, S. (Author), Hofer, M. (Author), & Kandhai, D. (Author). (2020). Quantifying systemic risk using Bayesian networks. Web publication or website, Risk.net. Advance online publication. https://www.risk.net/7462701 [details]
2003
- Artoli, A. M. M., Kandhai, B. D., Hoefsloot, H. C. J., Hoekstra, A. G., & Sloot, P. M. A. (2003). Lattice Boltzmann: a robust and accurate solver for interactive computational hymodynamics. Lecture Notes in Computer Science, 1034-1043. [details]
2024
- Boersma, M. (2024). Complex networks in audit: A data-driven modelling approach. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
- Hoencamp, J. H. (2024). Modern advances in computational credit risk modelling: Quantitative approaches to margin value adjustments for interest rate derivatives. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
2020
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Ancillary activities
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ING Bank, Financial Markets
Hoofd Quantitative Analytics - NL Branche
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ING Bank, Financial Markets
Boersma, M., Wolsink, J., Sourabh, S., Hoogduin, L. A., & Kandhai, D. (2023). Measure cross-sectoral structural similarities from financial networks. Scientific Reports, 13, Article 7124.