bibliographyAchdou, Y. and Pironneau, O. (2005). Computational Methods for Option Pricing, SIAM Frontiers in Applied Mathematics.
Alòs, E. (2006). A generalization of Hull and White formula and applications to option pricing approximation. Finance & Stochastics 10(3: 353–65.
Alòs, E. (2009). A decomposition formula for option prices in the Heston model and applications to option pricing approximation. Economics working papers, Department of Economics and Business, Universitat Pompeu Fabra.
Andersen, L. and Piterbarg, V. (2007). Moment explosions in stochastic volatility models. Finance & Stochastics 11(1: 29–50.
Andersen, L., Sidenius, J. and Basu, S. (2003). All your hedges in one basket. RISK pp. 67–72.
Avellaneda, M., Boyer-Olson, D., Busca, J. and Friz, P. (2002). Reconstructing the smile. RISK.
Avellaneda, M., Friedman, C., Holmes, R. and Samperi, D. (1997). Calibrating volatility surfaces via relative-entropy minimization. Applied Mathematical Finance 4(1: 37–64.
Ball, C. and Roma, A. (1994). Stochastic volatility option pricing. Journal of Financial and Quantitative Analysis 29(4: 589–607.
Batalova, N., Maroussov, V. and Viens, F. (2006). Selection of an optimal portfolio with stochastic volatility and discrete observations. Transactions of the Wessex Institute on Modelling and Simulation 43: 371–80.
Bayraktar, E. and Yang, B. (2011). A unified framework for pricing credit and equity derivatives. Mathematical Finance.
Benabid, A., Bensusan, H. and El Karoui, N. (2009). Wishart stochastic volatility: Asymptotic smile and numerical framework, Preprint.
Benaim, S., Friz, P. and Lee, R. (2009). On the Black–Scholes implied volatility at extreme strikes, in R., Cont (ed.), Frontiers in Quantitative Finance Volatility and Credit Modeling. New York: Wiley Finance, pp. 19–45.
Bensoussan, A. and Lions, J.-L. (1982). Applications of Variational Inequalities in Stochastic Control, Vol. 12 of Studies in Mathematics and its Applications. Amsterdam: North-Holland.
Berestycki, H., Busca, J. and Florent, I. (2004). Computing the implied volatility in stochastic volatility models. Communications on Pure and Applied Mathematics 57(10: 1352–73.
Bergomi, L. (2009). Smile dynamics IV, Preprint.
Bielecki, T. and Rutkowski, M. (2004). Credit Risk: Modeling, Valuation and Hedging, Springer Finance. Berlin: Springer.
Björk, T. (2004). Arbitrage Theory in Continuous Time, 2nd edn. Oxford: Oxford University Press.
Black, F. and Cox, J. (1976). Valuing corporate securities: Some effects of bond indenture provisions. Journal of Finance 31: 351–67.
Black, F. and Scholes, M. (1973). The pricing of options and corporate liabilities. Journal of Political Economy 81: 637–59.
Blankenship, G. and Papanicolaou, G. (1978). Stability and control of stochastic systems with wide-band noise disturbances. SIAM Journal on Applied Mathematics 34(3: 437–76.
Boyarchenko, N. and Levendorskii, S. (2007). The eigenfunction expansion method in multifactor quadratic term structure models. Mathematical Finance 17(4: 503–39.
Breiman, L. (1992). Probability, Vol. 7 of Classics in Applied Mathematics, SIAM.
Carmona, R. and Tehranchi, M. (2006). Interest Rate Models: an Infinite Dimensional Stochastic Analysis Perspective, Springer Finance. Berlin: Springer.
Carmona, R., Fouque, J.-P. and Vestal, D. (2009). Interacting particle systems for the computation of rare credit portfolio losses. Finance & Stochastics 13(4: 613–33.
Carr, P. and Madan, D. (2001). Optimal positioning in derivative securities. Quantitative Finance 1: 19–37.
Chen, X., Chadam, J., Jiang, L. and Zheng, W. (2008). Convexity of the exercise boundary of the American put option on a zero dividend asset. Mathematical Finance 18(1: 185–97.
Chernov, M., Gallant, R., Ghysels, E. and Tauchen, G. (2003). Alternative models for stock price dynamics. Journal of Econometrics 116: 225–57.
Chi, Y., Jaimungal, S. and Lin, S. (2010). An insurance risk model with stochastic volatility. Insurance: Mathematics and Economics 46(1: 52–66.
Choi, S.-Y., Fouque, J.-P. and Kim, J.-H. (2010). Option pricing under hybrid stochastic and local volatility, Preprint.
Christoffersen, P., Jacobs, K., Ornthanalai, C. and Wang, Y. (2008b). Option valuation with long-run and short-run volatility components, CREATES Research Papers.
Collin-Dufresne, P. and Goldstein, R. (2001). Do credit spreads reflect stationary leverage ratios? Reconciling structural and reduced form frameworks. Journal of Finance 56: 1929–58.
Conlon, J. and Sullivan, M. (2005). Convergence to Black-Scholes for ergodic volatility models. European Journal of Applied Mathematics 16(3: 385–409.
Cont, R. and Tankov, P. (2003). Financial Modelling with Jump Processes. London: Chapman and Hall/CRC.
Cotton, P., Fouque, J.-P., Papanicolaou, G. and Sircar, R. (2004). Stochastic volatility corrections for interest rate derivatives. Mathematical Finance 14(2: 173–200.
Cox, J. (1975). Notes on option pricing I: Constant elasticity of variance diffusion, Technical report, Stanford University, Graduate School of Business. Reprinted in: Journal of Portfolio Management, Vol. 22, 1996.
Cvitanic, J. and Rozovskii, B. (2006). A filtering approach to tracking volatility from prices observed at random times. Annals of Applied Probability 16(3: 1633–52.
Dembo, A. and Zeitouni, O. (1998). Large Deviation Techniques and Applications, 2nd edn. Berlin: Springer.
Derman, E. and Kani, I. (1994). Riding on a smile. RISK 7: 32–9.
DeSantiago, R., Fouque, J.-P. and Sølna, K. (2008). Bond markets with stochastic volatility, in J.-P., Fouque and K., Sølna (eds), Econometrics and Risk Management, Vol. 22 of Advances in Econometrics. Bingley, UK: Emerald, pp. 215–42.
Duffie, D. (2001). Dynamic Asset Pricing Theory, 3rd edn. Princeton, NJ: Princeton University Press.
Duffie, D. and Gârleanu, N. (2001). Risk and valuation of collateralized debt obligations. Financial Analysts Journal 57(1: 41–59.
Duffie, D. and Lando, D. (2001). Term structures of credit spreads with incomplete accounting information. Econometrica 69: 633–64.
Duffie, D. and Singleton, K. (2003). Credit Risk. Princeton, NJ: Princeton University Press.
Duffie, D., Pan, J. and Singleton, K. (2000). Transform analysis and asset pricing for affine jump-diffusions. Econometrica 68(6: 1343–76.
Dumas, B., Fleming, J. and Whaley, R. (1998). Implied volatility functions: Empirical tests, Journal of Finance 53(6: 2059–106.
Dupire, B. (1994). Pricing with a smile. RISK 7: 18–20.
Dupire, B. (2010). Historical moments, Presentation at Research in Options Conference, Rio.
Durrett, R. (2004). Probability: Theory and Examples, 3rd edn. Pacific Grove, CA: Duxbury Press.
Eckner, A. (2007). Computational techniques for basic affine models of portfolio credit risk. Journal of Computational Finance.
El Karoui, N. and Quenez, M. (1995). Dynamic programming and pricing of contingent claims in an incomplete market. SIAM Journal on Control and Optimization 33: 29–66.
Elizalde, A. (2005). Credit risk models IV: Understanding and pricing CDOs. www.abelelizalde.com.
Engle, R. and Patton, A. (2001). What good is a volatility model?Quantitative Finance 1: 237–45.
Eom, Y., Helwege, J. and Huang, J. (2004). Structural models of corporate bond pricing: An empirical analysis. Review of Financial Studies 17: 499–544.
Errais, E., Giesecke, K. and Goldberg, L. (2010). Affine point processes and portfolio credit risk. SIAM Journal on Financial Mathematics 1: 642–65.
Etheridge, A. (2002). A Course in Financial Calculus. Cambridge: Cambridge University Press.
Feng, J., Forde, M. and Fouque, J.-P. (2010). Short maturity asymptotics for a fast mean-reverting Heston stochastic volatility model. SIAM Journal on Financial Mathematics 1: 126–41.
Fengler, M. (2005). Semiparametric Modeling of Implied Volatility. Berlin: Springer.
Figlewski, S. (2010). Estimating the implied risk neutral density for the U.S. market portfolio, in M., WatsonT., Bollerslev and J., Russell (eds), Volatility and Time Series Econometrics: Essays in Honor of Robert Engle. Oxford: Oxford University Press.
Fiorentini, G., Leon, A. and Rubio, G. (2002). Estimation and empirical performance of Heston's stochastic volatility model: the case of a thinly traded market. Journal of Empirical Finance 9(2: 225–55.
Fleming, W.H. and Soner, H.M. (1993). Controlled Markov Processes and Viscosity Solutions. Berlin: Springer-Verlag.
Forde, M. and Jacquier, A. (2010). Robust approximations for pricing Asian options and volatility swaps under stochastic volatility. Applied Mathematical Finance 17(3: 241–59.
Fouque, J.-P. and Han, C. (2004a). Asian options under multiscale stochastic volatility, in G., Yin and Q., Zhang (eds), Proceedings of the AMS-IMS-SIAM Summer Conference on Mathematics of Finance, Vol. 351 of Contemporary Mathematics, AMS.
Fouque, J.-P. and Han, C. (2004b). Variance reduction for Monte Carlo methods to evaluate option prices under multi-factor stochastic volatility models. Quantitative Finance 4(5: 597–606.
Fouque, J.-P. and Han, C. (2007). A martingale control variate method for option pricing with stochastic volatility. ESAIM Probability & Statistics 11: 40–54.
Fouque, J.-P. and Kollman, E. (2011). Calibration of stock betas from skews of implied volatilities. Applied Mathematical Finance.
Fouque, J.-P. and Lorig, M. (2009). A fast mean-reverting correction to the Heston stochastic volatility model (submitted).
Fouque, J.-P. and Tashman, A. (2011a). Option pricing under a stressed-beta model. Annals of Finance.
Fouque, J.-P. and Tashman, A. (2011b). Portfolio optimization under a stressed beta model. Wilmott Journal.
Fouque, J.-P. and Zhou, X. (2008). Perturbed Gaussian copula, in J.-P., Fouque and K., Sølna (eds), Econometrics and Risk Management, Vol. 22 of Advances in Econometrics. Bingley, UK: Emerald, pp. 103–21.
Fouque, J.-P., Garnier, J., Papanicolaou, G. and Sølna, K. (2007). Wave Propagation and Time Reversal in Randomly Layered Media, Stochastic Modelling and Applied Probability 56. Berlin: Springer.
Fouque, J.-P., Jaimungal, S. and Lorig, M. (2010). Spectral decomposition of option prices in fast mean-reverting stochastic volatility models (submitted).
Fouque, J.-P., Papanicolaou, G. and Sircar, R. (2000). Derivatives in Financial Markets with Stochastic Volatility. Cambridge: Cambridge University Press.
Fouque, J.-P., Papanicolaou, G. and Sircar, R. (2001a). From the implied volatility skew to a robust correction to Black–Scholes American option prices. International Journal of Theoretical & Applied Finance 4(4: 651–75.
Fouque, J.-P., Papanicolaou, G. and Sircar, R. (2001b). Stochastic volatility and the epsilon-martingale decomposition, in M., Kohlmann and S., Tang (eds), Mathematical Finance. Berlin: Birkhauser, pp. 152–61.
Fouque, J.-P., Papanicolaou, G. and Sircar, R. (2004). Stochastic volatility and correction to the heat equation, in R., DallangM., Dozzi and F., Russo (eds), Seminar on Stochastic Analysis, Random Fields and Applications IV, Vol. 58 of Progress in Probability. Berlin: Birkhauser, pp. 267–76.
Fouque, J.-P., Papanicolaou, G., Sircar, R. and Sølna, K. (2003a). Multiscale stochastic volatility asymptotics. SIAM Journal on Multiscale Modeling & Simulation 2(1: 22–42.
Fouque, J.-P., Papanicolaou, G., Sircar, R. and Sølna, K. (2003b). Short time-scale in S&P 500 volatility. Journal of Computational Finance 6(4: 1–23.
Fouque, J.-P., Papanicolaou, G., Sircar, R. and Sølna, K. (2003c). Singular perturbations in option pricing. SIAM Journal on Applied Mathematics 63(5: 1648–65.
Fouque, J.-P., Papanicolaou, G., Sircar, R. and Sølna, K. (2004a). Maturity cycles in implied volatility. Finance & Stochastics 8(4: 451–77.
Fouque, J.-P., Papanicolaou, G., Sircar, R. and Sølna, K. (2004b). Timing the smile. Wilmott Magazine, pp. 59–65.
Fouque, J.-P., Sircar, R. and Sølna, K. (2006). Stochastic volatility effects on defaultable bonds. Applied Mathematical Finance 13(3: 215–44.
Fouque, J.-P., Sircar, R. and Sølna, K. (2009). Multiname and multiscale default modeling. SIAM Journal on Multiscale Modeling and Simulation 7(4: 1956–78.
Fouque, J.-P., Wignall, B. and Zhou, X. (2008). Modeling correlated defaults: first passage model under stochastic volatility. Journal of Computational Finance 11(3: 43–78.
Fournie, E., Lebuchoux, J. and Touzi, N. (1997). Small noise expansion and importance sampling. Asymptotic Analysis 14(4: 361–76.
Freidlin, M. (1985). Functional Integration and Partial Differential Equations. Princeton, NJ: Princeton University Press.
French, D., Goth, J. and Kolari, J. (1983). Current investor expectations and better betas. Journal of Portfolio Management, pp. 12–17.
Frey, R. (1996). Derivative asset analysis in models with level-dependent and stochastic volatility. CWI Quarterly 10(1: 1–34.
Friedman, A. (2006). Stochastic Differential Equations and Applications. New York: Dover.
Fukasawa, M. (2011). Asymptotic analysis for stochastic volatility: martingale expansion. Finance & Stochastics.
Gatheral, J. (2006). The Volatility Surface: a Practitioner's Guide. New York: John Wiley and Sons, Inc.
Geske, R. (1979). The valuation of compound options. Journal of Financial Economics 7: 63–81.
Giesecke, K. (2004). Credit risk modeling and valuation: An introduction, in D., Shimko (ed.), Credit Risk: Models and Management, Vol. 2. New York: RISK Books.
Glasserman, P. (2003). Monte Carlo Methods in Financial Engineering, Applications of Mathematics 53. Berlin: Springer.
Gobet, E. and Miri, M. (2010). Time-dependent Heston model. SIAM Journal on Financial Mathematics 1: 289–325.
Goldman, M., Sosin, H. and Gatto, M. (1979). Path-dependent options: Buy at the low, sell at the high. Journal of Finance.
Hagan, P., Kumar, D., Lesniewski, A. and Woodward, D. (2002). Managing smile risk. Wilmott Magazine, pp. 84–108.
Henry-Labordère, P. (2005). A general asymptotic implied volatility for stochastic volatility models. Proceedings “Petit déjeuner de la Finance.”
Heston, S. (1993). A closed-form solution for options with stochastic volatility with applications to bond and currency options. Review of Financial Studies 6(2: 327–43.
Hikspoors, S. and Jaimungal, S. (2008). Asymptotic pricing of commodity derivatives for stochastic volatility spot models. Applied Mathematical Finance 15(5: 449–77.
Hilberink, B. and Rogers, L.C.G. (2002). Optimal capital structure and endogenous default. Finance and Stochastics 6(2: 237–63.
Hobson, D. (1996). Stochastic volatility, Technical report, School of Mathematical Sciences, University of Bath.
Howison, S. (2005). Matched asymptotic expansions in financial engineering. Journal of Engineering Mathematics 53: 385–406.
Hu, F. and Knessl, C. (2010). Asymptotics of barrier option pricing under the CEV process. Applied Mathematical Finance 17(3: 261–300.
Hull, J. (2008). Options, Futures and Other Derivative Securities, 7th edn. New Jersey: Prentice Hall.
Hull, J. and White, A. (1987). The pricing of options on assets with stochastic volatilities. Journal of Finance 42(2: 281–300.
Hull, J. and White, A. (1988). An analysis of the bias in option pricing caused by a stochastic volatility. Advances in Futures and Options Research 3: 29–61.
Hull, J. and White, A. (2004). Valuation of a CDO and an n-th to default CDS without Monte Carlo simulation. Journal of Derivatives 12(2: 8–23.
Hurd, T. (2009). Credit risk modeling using time-changed Brownian motion. International Journal of Theoretical and Applied Finance 12(8: 1213–30.
Hurd, T. and Kuznetsov, A. (2008). Explicit formulas for Laplace transforms of stochastic integrals. Markov Processes and Related Fields 14: 277–90.
Ilhan, A., Jonsson, M. and Sircar, R. (2004). Singular perturbations for boundary value problems arising from exotic options. SIAM Journal on Applied Mathematics 64(4: 1268–93.
Jackel, P. and Kahl, C. (2005). Not-so-complex logarithms in the Heston model. Wilmott Magazine.
Jackwerth, J. and Rubinstein, M. (1996). Recovering probability distributions from contemporaneous security prices. Journal of Finance 51(5: 1611–31.
Jeanblanc, M., Yor, M. and Chesney, M. (2009). Mathematical Methods for Financial Markets, Springer Finance. Berlin: Springer.
Jonsson, M. and Sircar, R. (2002a). Optimal investment problems and volatility homogenization approximations, in A., BourliouxM., Gander and G., Sabidussi (eds), Modern Methods in Scientific Computing and Applications, Vol. 75 of NATO Science Series II.Dordrecht: Kluwer, pp. 255–81.
Jonsson, M. and Sircar, R. (2002b). Partial hedging in a stochastic volatility environment. Mathematical Finance 12(4: 375–409.
Karatzas, I. and Shreve, S. (1991). Brownian Motion and Stochastic Calculus, Vol. 113 of GTM, 2nd edn. Berlin: Springer.
Karatzas, I. and Shreve, S. (1998). Methods of Mathematical Finance. Berlin: Springer-Verlag.
Karlin, S. and Taylor, H. (1981). A Second Course in Stochastic Processes. New York: Academic Press Inc.
Kushner, H. (1984). Approximation and Weak Convergence Methods for Random Processes, with Applications to Stochastic Systems Theory, MIT Press Series in Signal Processing, Optimization, and Control, 6. Boston: MIT Press.
Kuske, R. and Keller, J. (1998). Optimal exercise boundary for an American put option. Applied Mathematical Finance 5(2: 107–16.
Lamberton, D. and Lapeyre, B. (1996). Introduction to Stochastic Calculus Applied to Finance. New York: Chapman & Hall.
Lando, D. (2004). Credit Risk Modeling: Theory and Applications, Princeton Series in Finance. Princeton, NJ: Princeton University Press.
LeBaron, B. (2001). Stochastic volatility as a simple generator of apparent financial power laws and long memory. Quantitative Finance 1(6: 621–31.
Lee, R. (1999). Local volatilities under stochastic volatility. International Journal of Theoretical and Applied Finance 4(1: 45–89.
Lewis, A. (2000). Option Valuation under Stochastic Volatility. London: Finance Press.
Li, D. (2000). On default correlation: a copula approach. Journal of Fixed Income 9: 43–54.
Lipton, A. (2001). Mathematical Methods For Foreign Exchange: A Financial Engineer's Approach. Singapore: World Scientific.
Longstaff, F. and Schwartz, E. (1995). Valuing risky debt: A new approach. Journal of Finance 50: 789–821.
Lopatin, A. and Misirpashaev, T. (2007). Two-dimensional Markovian model for dynamics of aggregate credit loss. Technical report, Numerix.
Lord, R. and Kahl, C. (2006). Why the rotation count algorithm works. SSRN eLibrary.
Markowitz, H. (1952). Portfolio selection. Journal of Finance 7: 77–99.
Merton, R.C. (1969). Lifetime portfolio selection under uncertainty: the continous-time case. Review of Economics and Statistics 51: 247–57.
Merton, R.C. (1971). Optimum consumption and portfolio rules in a continuous-time model. Journal of Economic Theory 3(1/2): 373–413.
Merton, R.C. (1973). Theory of rational option pricing. Bell Journal of Economics 4(1: 141–83.
Mikosch, T. (1999). Elementary Stochastic Calculus With Finance in View. Singapore: World Scientific.
Mortensen, A. (2006). Semi-analytical valuation of basket credit derivatives in intensity-based models. Journal of Derivatives 13(4: 8–26.
Musiela, M. and Rutkowski, M. (2002). Martingale Methods in Financial Modelling, 2nd edn. Berlin: Springer-Verlag.
Nayak, S. and Papanicolaou, G. (2007). Stochastic volatility surface estimation, Preprint.
Oksendal, B. (2007).Stochastic Differential Equations: An Introduction with Applications, Universitext, 6th edn. Berlin: Springer.
Papageorgiou, E. and Sircar, R. (2008). Multiscale intensity models for single name credit derivatives. Applied Mathematical Finance 15(1: 73–105.
Papageorgiou, E. and Sircar, R. (2009). Multiscale intensity models and name grouping for valuation of multi-name credit derivatives. Applied Mathematical Finance 16(4: 353–83.
Platen, E. and Heath, D. (2006). A Benchmark Approach to Quantitative Finance, Springer Finance. Berlin: Springer.
Renault, E. and Touzi, N. (1996). Option hedging and implied volatilities in a stochastic volatility model. Mathematical Finance 6(3: 279–302.
Rogers, L.C.G. (1995). Which model for the term-structure of interest rates should one use?, Mathematical Finance, Vol. 65 of IMA.New York: Springer NY, pp. 93–116.
Rubinstein, M. (1985). Nonparametric tests of alternative option pricing models. Journal of Finance 40(2: 455–80.
Rubinstein, M. (1994). Implied binomial trees. Journal of Finance 69: 771–818.
Samuelson, P. (1973). Mathematics of speculative prices. SIAM Review 15: 1–39.
Scholes, M. and Williams, J. (1977). Estimating betas from nonsynchronous data. Journal of Financial Economics 5: 309–27.
;Schönbucher, P. (2003). Credit Derivatives Pricing Models. New York: John Wiley.
Schönbucher, P. (2006). Portfolio losses and the term structure of loss transition rates: A new methodology for the pricing of portfolio credit derivatives. Technical report, ETH Zurich.
Schweizer, M. (1999). A guided tour through quadratic hedging approaches. Preprint, Technische Universitat, Berlin.
Scott, L. (1987). Option pricing when the variance changes randomly: theory, estimation, and an application. Journal of Financial and Quantitative Analysis 22(4: 419–38.
Sharpe, W. (1996). Mutual fund performance. Journal of Business 39: 119–38.
Shaw, W. (2006). Stochastic volatility, models of Heston type.
Shephard, N. (ed.) (2005). Stochastic Volatility: Selected Readings. Oxford: Oxford University Press.
Shreve, S. (2004). Stochastic Calculus for Finance II: Continuous-Time Models. Berlin: Springer.
Siegel, A. (1995). Measuring systematic risk using implicit beta. Management Science 41: 124–8.
Sircar, R. and Papanicolaou, G. (1999). Stochastic volatility, smile and asymptotics. Applied Mathematical Finance 6(2: 107–45.
Sircar, R. and Zariphopoulou, T. (2005). Bounds & asymptotic approximations for utility prices when volatility is random. SIAM Journal on Control & Optimization 43(4: 1328–53.
Sircar, R. and Zariphopoulou, T. (2010). Utility valuation of credit derivatives and application to CDOs. Quantitative Finance 10(2: 195–208.
Stein, E. and Stein, J. (1991). Stock price distributions with stochastic volatility: an analytic approach. Review of Financial Studies 4(4: 727–52.
Touzi, N. (1999). American option exercise boundary when the volatility changes randomly. Applied Mathematics and Optimization 39: 411–22.
Vecer, J. (2002). Unified pricing of Asian options. RISK.
Wiggins, J. (1987). Option values under stochastic volatility. Journal of Financial Economics 19(2: 351–72.
Wilmott, P., Howison, S. and Dewynne, J. (1996). Mathematics of Financial Derivatives: A Student Introduction. Cambridge: Cambridge University Press.
Yin, G. and Zhang, Q. (1998). Continuous-Time Markov Chains and Applications. A Singular Perturbation Approach, Applications of Mathematics 37. Berlin: Springer.
Zariphopoulou, T. (2001). A solution approach to valuation with unhedgeable risks. Finance & Stochastics 5(1: 61–82.
Zhang, J. and Shu, J. (2003). Pricing Standard & Poor's 500 index options with Heston's model, Computational Intelligence for Financial Engineering, 2003. Proceedings 2003 IEEE International Conference, pp. 85–92.
Zhou, C. (2001a). An analysis of default correlations and multiple defaults. Review of Financial Studies 14(2: 555–76.
Zhou, C. (2001b). The term structure of credit spreads with jump risk. Journal of Banking and Finance 25: 2015–40.
Zhu, J. and Avellaneda, M. (1997). A risk-neutral stochastic volatility model. International Journal of Theoretical and Applied Finance 1(2: 289–310.
