Zins- und Aktienmodelle erfordern Kalibrierung. Für die meisten Zinsderivate bildet das Libor-Modell und dessen Kalibrierung den für die Praxis wichtigsten Zugang. Insbesondere die Entwicklung und Kalibrierung von Libor-Modellen, welche die typischerweise am Markt zu beobachtende implizite Volatilitätsstruktur ("volatility smiles") abbilden sind von ausserordentliche Bedeutung. Nach der Finanzkrise ist der Libor-Satz außerdem nicht mehr als risikofrei zu betrachten und dies führte zur Entwicklung von mehrkurvigen Libor-Modellen, also Modelle, die simultan unterschiedliche Libor-Laufzeiten darstellen. Kalibrierung und effiziente Bewertung im Rahmen eines solchen Modells sind nach wie vor mit grossen Schwierigkeiten verbunden. Ähnliche Herausforderungen gelten für Aktien- und Aktienindexmärkte, in denen eine realistische Modellierung der gesamten Volatilitätsfläche (indiziert durch Laufzeit und Strikepreis) durch herkömmliche stochastische Volatilitätsmodelle auf grosse Schwierigkeiten stößt.


Erweiterungen des Libor-Marktmodells durch multivariate Sprung-Diffusions- und stochastische Volatilitätsprozesse sind entwickelt, implementiert und getestet worden. Es konnte gezeigt werden, dass diese Erweiterungen eine flexible, systematische und robuste Kalibrierung an Marktpreise für Caps und Swaptions ermöglichen, in der sogenanntes Smile- und Skewverhalten berücksichtigt wird. Ähnliche Ergänzungen wurden auch für Mehrkurven- sowie FX-Modelle entwickelt. Basierend auf Erweiterungen des Libor-Marktmodells durch multivariate Sprungdiffusions- und stochastische Volatilitätsprozesse entwickelt in den vorangegangenen Jahren, wurden neuartige mehrkurvige Libor-Modelle entwickelt. Diese sind besonders geeignet zur Abbildung am Markt beobachteter Volatilitätsprofile von üblichen Libor-Optionen wie Caps, Floors, und Swaptions. Durch einen Verschiebungsansatz sind diese Modelle ausserdem sehr geeignet zur Beschreibung der heutzutage oft beobachteten negativen Zinsen. Für liquide Aktienmärkte (wie etwa wichtige Indizes, z.B. der S&P 500 Index) wurden große Erfolge in der Kalibrierung erzielt. Als wesentliche Innovation hat sich hierbei die Aufgabe des Rahmens der Semimartingale für die stochastische Volatilität erwiesen. Tatsächlich gibt es sehr überzeugende Indizien (sowohl aus Kalibrierung als auch aus Zeitreihen der Aktienkurse selbst), dass Volatilität deutlich rauher ist als erreichbar in der Klasse der Diffusionsprozesse ("Rauhe Volatilität").



  • D. Belomestny, J. Schoenmakers, Advanced Simulation-Based Methods for Optimal Stopping and Control: With Applications in Finance, Macmillan Publishers Ltd., London, 2018, 364 pages, (Monograph Published), DOI 10.1057/978-1-137-03351-2 .

  • CH. Bayer, J.G.M. Schoenmakers, Option Pricing in Affine Generalized Merton Models, in: Advanced Modelling in Mathematical Finance -- In Honour of Ernst Eberlein, J. Kallsen, A. Papapantoleon , eds., Springer Proceedings in Mathematics & Statistics, Springer International Publishing Switzerland, Cham, 2016, pp. 219--239, (Chapter Published).
    In this article we consider affine generalizations of the Merton jump diffusion model Merton (1976) and the respective pricing of European options. On the one hand, the Brownian motion part in the Merton model may be generalized to a log-Heston model, and on the other hand, the jump part may be generalized to an affine process with possibly state dependent jumps. While the characteristic function of the log-Heston component is known in closed form, the characteristic function of the second component may be unknown explicitly. For the latter component we propose an approximation procedure based on the method introduced in Belomestny, Kampen, Schoenmakers (2009). We conclude with some numerical examples.

  • J.G.M. Schoenmakers, Chapter 12: Coupling Local Currency Libor Models to FX Libor Models, in: Recent Developments in Computational Finance, Th. Gerstner, P. Kloeden, eds., 14 of Interdisciplinary Mathematical Sciences, World Scientific Publishers, Singapore, 2013, pp. 429--444, (Chapter Published).

  • J.G.M. Schoenmakers, Robust Libor Modelling and Pricing of Derivative Products, Chapman & Hall CRC Press, 2005, 202 pages, (Monograph Published).

  Artikel in Referierten Journalen

  • M. Redmann, Ch. Bayer, P. Goyal, Low-dimensional approximations of high-dimensional asset price models, SIAM Journal on Financial Mathematics, ISSN 1945-497X, 12 (2021), pp. 1--28, DOI 10.1137/20M1325666 .
    We consider high-dimensional asset price models that are reduced in their dimension in order to reduce the complexity of the problem or the effect of the curse of dimensionality in the context of option pricing. We apply model order reduction (MOR) to obtain a reduced system. MOR has been previously studied for asymptotically stable controlled stochastic systems with zero initial conditions. However, stochastic differential equations modeling price processes are uncontrolled, have non-zero initial states and are often unstable. Therefore, we extend MOR schemes and combine ideas of techniques known for deterministic systems. This leads to a method providing a good pathwise approximation. After explaining the reduction procedure, the error of the approximation is analyzed and the performance of the algorithm is shown conducting several numerical experiments. Within the numerics section, the benefit of the algorithm in the context of option pricing is pointed out.

  • P. Pigato, Extreme at-the-money skew in a local volatility model, Finance and Stochastics, 23 (2019), pp. 827--859, DOI 10.1007/s00780-019-00406-2 .

  • V. Krätschmer, M. Ladkau, R.J.A. Laeven, J.G.M. Schoenmakers, M. Stadje, Optimal stopping under uncertainty in drift and jump intensity, Mathematics of Operations Research, 43 (2018), pp. 1177--1209, DOI 10.1287/moor.2017.0899 .
    This paper studies the optimal stopping problem in the presence of model uncertainty (ambiguity). We develop a method to practically solve this problem in a general setting, allowing for general time-consistent ambiguity averse preferences and general payoff processes driven by jump-diffusions. Our method consists of three steps. First, we construct a suitable Doob martingale associated with the solution to the optimal stopping problem %represented by the Snell envelope using backward stochastic calculus. Second, we employ this martingale to construct an approximated upper bound to the solution using duality. Third, we introduce backward-forward simulation to obtain a genuine upper bound to the solution, which converges to the true solution asymptotically. We analyze the asymptotic behavior and convergence properties of our method. We illustrate the generality and applicability of our method and the potentially significant impact of ambiguity to optimal stopping in a few examples.

  • D. Belomestny, H. Mai, J.G.M. Schoenmakers, Generalized Post--Widder inversion formula with application to statistics, Journal of Mathematical Analysis and Applications, 455 (2017), pp. 89--104.
    In this work we derive an inversion formula for the Laplace transform of a density observed on a curve in the complex domain, which generalizes the well known Post-Widder formula. We establish convergence of our inversion method and derive the corresponding convergence rates for the case of a Laplace transform of a smooth density. As an application we consider the problem of statistical inference for variance-mean mixture models. We construct a nonparametric estimator for the mixing density based on the generalized Post-Widder formula, derive bounds for its root mean square error and give a brief numerical example.

  • Z. Grbac, A. Papapantoleon, J.G.M. Schoenmakers, D. Skovmand, Affine LIBOR models with multiple curves: Theory, examples and calibration, SIAM Journal on Financial Mathematics, ISSN 1945-497X, 6 (2015), pp. 984--1025.
    We introduce a multiple curve LIBOR framework that combines tractable dynamics and semi-analytic pricing formulas with positive interest rates and basis spreads. The dynamics of OIS and LIBOR rates are specified following the methodology of the affine LIBOR models and are driven by the wide and flexible class of affine processes. The affine property is preserved under forward measures, which allows to derive Fourier pricing formulas for caps, swaptions and basis swaptions. A model specification with dependent LIBOR rates is developed, that allows for an efficient and accurate calibration to a system of caplet prices.

  • CH. Bayer, J. Gatheral, M. Karlsmark, Fast Ninomiya--Victoir calibration of the double-mean-reverting model, Quantitative Finance, 13 (2014), pp. 1813--1829.

  • M. Ladkau, J.G.M. Schoenmakers, J. Zhang, Libor model with expiry-wise stochastic volatility and displacement, International Journal of Portfolio Analysis and Management, 1 (2013), pp. 224--249.
    We develop a multi-factor stochastic volatility Libor model with displacement, where each individual forward Libor is driven by its own square-root stochastic volatility process. The main advantage of this approach is that, maturity-wise, each square-root process can be calibrated to the corresponding cap(let)vola-strike panel at the market. However, since even after freezing the Libors in the drift of this model, the Libor dynamics are not affine, new affine approximations have to be developed in order to obtain Fourier based (approximate) pricing procedures for caps and swaptions. As a result, we end up with a Libor modeling package that allows for efficient calibration to a complete system of cap/swaption market quotes that performs well even in crises times, where structural breaks in vola-strike-maturity panels are typically observed.

  • S. Balder, A. Mahayni, J.G.M. Schoenmakers, Primal-dual linear Monte Carlo algorithm for multiple stopping --- An application to flexible caps, Quantitative Finance, 13 (2013), pp. 1003--1013.
    In this paper we consider the valuation of Bermudan callable derivatives with multiple exercise rights. We present in this context a new primal-dual linear Monte Carlo algorithm that allows for efficient simulation of lower and upper price bounds without using nested simulations (hence the terminology). The algorithm is essentially an extension of a primal-dual Monte Carlo algorithm for standard Bermudan options proposed in Schoenmakers et al (2011), to the case of multiple exercise rights. In particular, the algorithm constructs upwardly a system of dual martingales to be plugged into the dual representation of Schoenmakers (2010). At each level the respective martingale is constructed via a backward regression procedure starting at the last exercise date. The thus constructed martingales are finally used to compute an upper price bound. At the same time, the algorithm also provides approximate continuation functions which may be used to construct a price lower bound. The algorithm is applied to the pricing of flexible caps in a Hull White (1990) model setup. The simple model choice allows for comparison of the computed price bounds with the exact price which is obtained by means of a trinomial tree implementation. As a result, we obtain tight price bounds for the considered application. Moreover, the algorithm is generically designed for multi-dimensional problems and is tractable to implement.

  • A. Papapantoleon, J.G.M. Schoenmakers, D. Skovmand, Efficient and accurate log-Lévy approximations to Lévy driven LIBOR models, Journal of Computational Finance, 15 (2012), pp. 3--44.
    The LIBOR market model is very popular for pricing interest rate derivatives, but is known to have several pitfalls. In addition, if the model is driven by a jump process, then the complexity of the drift term is growing exponentially fast (as a function of the tenor length). In this work, we consider a Lévy-driven LIBOR model and aim at developing accurate and efficient log-Lévy approximations for the dynamics of the rates. The approximations are based on truncation of the drift term and Picard approximation of suitable processes. Numerical experiments for FRAs, caps and swaptions show that the approximations perform very well. In addition, we also consider the log-Lévy approximation of annuities, which offers good approximations for high volatility regimes.

  • P. Friz, S. Gerhold, A. Gulisashvili, S. Sturm, On refined volatility smile expansion in the Heston model, Quantitative Finance, 11 (2011), pp. 1151--1164.

  • D. Belomestny, J.G.M. Schoenmakers, A jump-diffusion Libor model and its robust calibration, Quantitative Finance, 11 (2011), pp. 529--546.

  • D. Belomestny, A. Kolodko, J.G.M. Schoenmakers, Pricing CMS spreads in the Libor market model, International Journal of Theoretical and Applied Finance, 13 (2010), pp. 45--62.
    We present two approximation methods for pricing of CMS spread options in Libor market models. Both approaches are based on approximating the underlying swap rates with lognormal processes under suitable measures. The first method is derived straightforwardly from the Libor market model. The second one uses a convexity adjustment technique under a linear swap model assumption. A numerical study demonstrates that both methods provide satisfactory approximations of spread option prices and can be used for calibration of a Libor market model to the CMS spread option market.

  • D. Belomestny, Spectral estimation of the fractional order of a Lévy process, The Annals of Statistics, 38 (2010), pp. 317--351.

  • P. Friz, S. Benaim, Regular variation and smile asymptotics, Mathematical Finance. An International Journal of Mathematics, Statistics and Financial Economics, 19 (2009), pp. 1--12.

  • D. Belomestny, S. Mathew, J.G.M. Schoenmakers, Multiple stochastic volatility extension of the Libor market model and its implementation, Monte Carlo Methods and Applications, 15 (2009), pp. 285-310.
    In this paper we propose a Libor model with a high-dimensional specially structured system of driving CIR volatility processes. A stable calibration procedure which takes into account a given local correlation structure is presented. The calibration algorithm is FFT based, so fast and easy to implement.

  • D. Belomestny, G.N. Milstein, V. Spokoiny, Regression methods in pricing American and Bermudan options using consumption processes, Quantitative Finance, 9 (2009), pp. 315--327.
    Here we develop methods for efficient pricing multidimensional discrete-time American and Bermudan options by using regression based algorithms together with a new approach towards constructing upper bounds for the price of the option. Applying sample space with payoffs at the optimal stopping times, we propose sequential estimates for continuation values, values of the consumption process, and stopping times on the sample paths. The approach admits constructing both low and upper bounds for the price by Monte Carlo simulations. The methods are illustrated by pricing Bermudan swaptions and snowballs in the Libor market model.

  • R. Krämer, P. Mathé, Modulus of continuity of Nemytskiĭ operators with application to a problem of option pricing, Journal of Inverse and Ill-Posed Problems, 16 (2008), pp. 435--461.

  • O. Reiss, J.G.M. Schoenmakers, M. Schweizer, From structural assumptions to a link between assets and interest rates, Journal of Economic Dynamics & Control, 31 (2007), pp. 593--612.
    We derive a link between assets and interest rates in a standard multi-asset diffusion economy from two structural assumptions ? one on the volatility and one on the short rate function. Our main result is economically intuitive and testable from data since it only involves empirically observable quantities. A preliminary study illustrates how this could be done.

  • J.G.M. Schoenmakers, B. Coffey, Systematic generation of parametric correlation structures for the LIBOR market model, International Journal of Theoretical and Applied Finance, 6 (2003), pp. 507-519.
    We present a conceptual approach of deriving parsimonious correlation structures suitable for implementation in the LIBOR market model. By imposing additional constraints on a known ratio correlation structure, motivated by economically sensible assumptions concerning forward LIBOR correlations, we yield a semi-parametric framework of non-degenerate correlation structures with realistic properties. Within this framework we derive systematically low parametric structures with, in principal, any desired number of parameters. As illustrated, such structures may be used for smoothing a matrix of historically estimated LIBOR return correlations. In combination with a suitably parametrized deterministic LIBOR volatility norm we so obtain a parsimonious multi-factor market model which allows for joint calibration to caps and swaptions. See Schoenmakers [2002] for a stable full implied calibration procedure based on the correlation structures developed in this paper.

  Beiträge zu Sammelwerken

  • J.G.M. Schoenmakers, SHOWCASE 17 -- Expiry-wise Heston LIBOR model, in: MATHEON -- Mathematics for Key Technologies, M. Grötschel, D. Hömberg, J. Sprekels, V. Mehrmann ET AL., eds., 1 of EMS Series in Industrial and Applied Mathematics, European Mathematical Society Publishing House, Zurich, 2014, pp. 314--315.

  • P. Friz, M. Keller-Ressel, Moment explosions in financial models, in: Encyclopedia of Quantitative Finance, R. Cont, ed., Wiley, Chichester, 2010, pp. 1247--1253.

  • P. Friz, Implied volatility: Large strike asymptotics, in: Encyclopedia of Quantitative Finance, R. Cont, ed., Wiley, Chichester, 2010, pp. 909--913.

  Preprints, Reports, Technical Reports

  • CH. Bayer, M. Eigel, L. Sallandt, P. Trunschke, Pricing high-dimensional Bermudan options with hierarchical tensor formats, Preprint no. 2821, WIAS, Berlin, 2021, DOI 10.20347/WIAS.PREPRINT.2821 .
    Abstract, PDF (321 kByte)
    An efficient compression technique based on hierarchical tensors for popular option pricing methods is presented. It is shown that the “curse of dimensionality" can be alleviated for the computation of Bermudan option prices with the Monte Carlo least-squares approach as well as the dual martingale method, both using high-dimensional tensorized polynomial expansions. This discretization allows for a simple and computationally cheap evaluation of conditional expectations. Complexity estimates are provided as well as a description of the optimization procedures in the tensor train format. Numerical experiments illustrate the favourable accuracy of the proposed methods. The dynamical programming method yields results comparable to recent Neural Network based methods.

  • R.J.A. Laeven, J.G.M. Schoenmakers, N.F.F. Schweizer, M. Stadje, Robust multiple stopping -- A path-wise duality approach, Preprint no. 2728, WIAS, Berlin, 2020, DOI 10.20347/WIAS.PREPRINT.2728 .
    Abstract, PDF (576 kByte)
    In this paper we develop a solution method for general optimal stopping problems. Our general setting allows for multiple exercise rights, i.e., optimal multiple stopping, for a robust evaluation that accounts for model uncertainty, and for general reward processes driven by multi-dimensional jump-diffusions. Our approach relies on first establishing robust martingale dual representation results for the multiple stopping problem which satisfy appealing path-wise optimality (almost sure) properties. Next, we exploit these theoretical results to develop upper and lower bounds which, as we formally show, not only converge to the true solution asymptotically, but also constitute genuine upper and lower bounds. We illustrate the applicability of our general approach in a few examples and analyze the impact of model uncertainty on optimal multiple stopping strategies.

  • C. Bellinger, A. Djurdjevac, P. Friz, N. Tapia, Transport and continuity equations with (very) rough noise, Preprint no. 2696, WIAS, Berlin, 2020, DOI 10.20347/WIAS.PREPRINT.2696 .
    Abstract, PDF (320 kByte)
    Existence and uniqueness for rough flows, transport and continuity equations driven by general geometric rough paths are established.

  Vorträge, Poster

  • O. Butkovsky, Regularisation by noise for SDEs: State of the art & open problems, Regularization by noise: Theoretical foundations, numerical methods and applications driven by Levy noise, February 13 - 20, 2022, Mathematisches Forschungsinstitut Oberwolfach, February 16, 2022.

  • N. Tapia, Transport and continuity equations with (very) rough noise, Regularization by noise: Theoretical foundations, numerical methods and applications driven by Levy noise, February 13 - 19, 2022, Mathematisches Forschungsinstitut Oberwolfach, February 18, 2022.

  • CH. Bayer, On the existence and longtime behavior of solutions to a degenerate parabolic system (online talk), Regularization by noise: Theoretical foundations, numerical methods and applications driven by Levy noise, February 13 - 20, 2022, Mathematisches Forschungsinstitut Oberwolfach, February 14, 2022.

  • CH. Bayer, Calibration of rough volatility models by deep learning, Rough Workshop 2019, September 4 - 6, 2019, Technische Universität Wien, Financial and Actuarial Mathematics, Austria.

  • CH. Bayer, Deep calibration of rough volatility models, New Directions in Stochastic Analysis: Rough Paths, SPDEs and Related Topics, WIAS und TU Berlin, March 18, 2019.

  • CH. Bayer, Deep calibration of rough volatility models, SIAM Conference on Financial Mathematics & Engineering, June 4 - 7, 2019, Society for Industrial and Applied Mathematics, Toronto, Ontario, Canada, June 7, 2019.

  • CH. Bayer, Learning rough volatility, Algebraic and Analytic Perspectives in the Theory of Rough Paths and Signatures, November 14 - 15, 2019, University of Oslo, Department of Mathematics, Norway, November 14, 2019.

  • M. Ladkau, A new multi-factor stochastic volatility model with displacement, First Berlin-Singapore Workshop on Quantitative Finance and Financial Risk, May 21 - 24, 2014, WIAS-Berlin und Humboldt-Universität zu Berlin, May 22, 2014.

  • J.G.M. Schoenmakers, Affine LIBOR models with multiple curves: Theory, examples and calibration, 11th German Probability and Statistics Days 2014, March 5 - 7, 2014, Universität Ulm, March 6, 2014.

  • M. Ladkau, A new multi-factor stochastic volatility model with displacement, PreMoLab Workshop on: Advances in predictive modeling and optimization, May 16 - 17, 2013, WIAS-Berlin, May 16, 2013.

  • CH. Bayer, Asymptotics beats Monte Carlo: The case of correlated local volatility baskets, Stochastic Methods in Finance and Physics, July 15 - 19, 2013, University of Crete, Department of Applied Mathematics, Heraklion, Greece, July 19, 2013.

  • CH. Bayer, Asymptotics can beat Monte Carlo, 20th Annual Global Derivatives & Risk Management, April 16 - 18, 2013, The International Centre for Business Information (ICBI), Amsterdam, Netherlands, April 18, 2013.

  • M. Ladkau, A new multi-factor stochastic volatility model with displacement, International Workshop on Numerical Algorithms in Computational Finance, July 20 - 22, 2011, Goethe Universität Frankfurt, Goethe Center for Scientific Computing (G-CSC), July 21, 2011.

  • P. Friz, On refined density and smile expansion in the Heston model, Workshop ``Stochastic Analysis in Finance and Insurance'', January 23 - 29, 2012, Mathematisches Forschungsinstitut Oberwolfach, January 29, 2012.

  • J.G.M. Schoenmakers, Advanced Libor modeling, Postbank Bonn, February 25, 2010.

  • J.G.M. Schoenmakers, Holomorphic transforms with application to affine processes, 5th General Conference in Advanced Mathematical Methods in Finance, May 4 - 8, 2010, University of Ljubljana, Faculty of Mathematics and Physics, Slovenia, May 6, 2010.

  • P. Friz, From numerical aspects of stochastic financial models to the foundations of stochastic differential equations (and back), Annual Meeting of the Deutsche Mathematiker-Vereinigung and 17th Congress of the Österreichische Mathematische Gesellschaft, Section ``Financial and Actuarial Mathematics'', September 20 - 25, 2009, Technische Universität Graz, Austria, September 25, 2009.

  • D. Belomestny, Estimation of the jump activity of a Lévy process from low frequency data, Haindorf Seminar 2009, February 12 - 15, 2009, Humboldt-Universität zu Berlin, CASE -- Center for Applied Statistics and Economics, Hejnice, Czech Republic, February 12, 2009.

  • D. Belomestny, Spectral estimation of the fractional order of a Lévy process, Workshop ``Statistical Inference for Lévy Processes with Applications to Finance'', July 15 - 17, 2009, EURANDOM, Eindhoven, Netherlands, July 16, 2009.

  • J.G.M. Schoenmakers, Statistical and numerical methods for evaluation for financial derivates and risk, Center Days 2009 (DFG Research Center scshape Matheon), March 30 - April 1, 2009, Technische Universität Berlin, March 31, 2009.

  • P. Mathé, On non-stability of some inverse problem in option pricing, Workshop on Inverse and Partial Information Problems: Methodology and Applications, October 27 - 31, 2008, Austrian Academy of Sciences, Johann Radon Institute for Computational and Applied Mathematics (RICAM), Linz, October 30, 2008.

  • J.G.M. Schoenmakers, Robust Libor modelling and calibration, International Multidisciplinary Workshop on Stochastic Modeling, June 25 - 29, 2007, Sevilla, Spain, June 29, 2007.

  • J.G.M. Schoenmakers, A jump-diffusion Libor model and its robust calibration, 4th World Congress of the Bachelier Finance Society, August 17 - 20, 2006, National Center of Sciences, Hitotsubashi University, ICS, Tokyo, Japan, August 20, 2006.

  • J.G.M. Schoenmakers, Interest rate modelling: Practical calibration and implementation techniques, June 15 - 16, 2006, Risk, London, UK.

  • J.G.M. Schoenmakers, Interest rate modelling --- Practical calibration and implementation techniques, Incisive Media Events, Hong Kong, China, December 8, 2004.

  • J.G.M. Schoenmakers, Robust calibration of LIBOR market models, Petit Dejeuner de la Finance, November 4 - 5, 2003, Paris, November 5, 2003.

  • J.G.M. Schoenmakers, Accuracy and stability of LIBOR model calibration via parametric correlation structures and approximative swaption pricing, Risk Conference 2002, April 23 - 24, 2002, Paris, France, April 23, 2002.

  • J.G.M. Schoenmakers, Calibration of LIBOR models to caps and swaptions: A way around intrinsic instabilities via parsimonious structures and a collateral market criterion, Johann Wolfgang Goethe-Universität, MathFinance Institute, Frankfurt am Main, November 7, 2002.

  • J.G.M. Schoenmakers, Calibration of LIBOR models to caps and swaptions: A way around intrinsic instabilities via parsimonious structures and a collateral market criterion, Quantitative Finance 2002, Risk Waters Group, London, UK, November 26, 2002.

  • J.G.M. Schoenmakers, Endogenous interest rates in asset markets, 2nd World Congress of the Bachelier Finance Society, June 12 - 15, 2002, Crete, Greece, June 14, 2002.

  • J.G.M. Schoenmakers, Kalibrierung im LIBOR Modell, Reuters AG, Düsseldorf, March 11, 2002.

  • J.G.M. Schoenmakers, Correlation structure in LIBOR market models, calibration to caps and swaptions, Technical University of Delft, Netherlands, May 8, 2001.

  • J.G.M. Schoenmakers, Term structure dynamics endogenously induced by multi-asset markets, Conference Risk 2001 Europe, April 10 - 11, 2001, Paris, France, April 10, 2001.

  • J.G.M. Schoenmakers, HJM term structure dynamics from a multi asset market; finite factor models, Hamburger Stochastik-Tage 2000, March 21 - 24, 2000, Universität Hamburg, March 21, 2000.

  • J.G.M. Schoenmakers, HJM term structure dynamics from a multi asset market; finite factor models, WIAS-Kolloquium, Berlin, May 15, 2000.

  • J.G.M. Schoenmakers, Stable calibration of multi-factor LIBOR market models via a semi-parametric correlation structure, "`ICBI 2000 Conference"', December 6 - 7, 2000, Genf, Switzerland, December 7, 2000.

  • J.G.M. Schoenmakers, Stable implied calibration of multi-factor LIBOR models by semi-parametric correlation structure, Risk Conference Math Week 2000, November 13 - 17, 2000, New York, USA, November 15, 2000.

  Preprints im Fremdverlag

  • P. Friz, S. Gerhold, A. Gulisashvili, S. Sturm, On refined volatility smile expansion in the Heston model, Preprint no. arXiv:1001.3003, Cornell University Library, arXiv.org, 2010.