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Options: A Monte Carlo approach

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Cited by:

  1. Hervé-Mignucci, Morgan, 2011. "Rôle du signal prix du carbone sur les décisions d'investissement des entreprises," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/8200 edited by Keppler, Jan Horst.
  2. Kristensen, Dennis & Mele, Antonio, 2011. "Adding and subtracting Black-Scholes: A new approach to approximating derivative prices in continuous-time models," Journal of Financial Economics, Elsevier, vol. 102(2), pages 390-415.
  3. Josh Lerner, 2002. "Where Does State Street Lead? A First Look at Finance Patents, 1971 to 2000," Journal of Finance, American Finance Association, vol. 57(2), pages 901-930, April.
  4. Dinabandhu Bag & Saurabh Goel, 2023. "Weak Form of Call Auction Prices: Simulation Using Monte Carlo Variants," Capital Markets Review, Malaysian Finance Association, vol. 31(1), pages 59-71.
  5. Pierdzioch, Christian, 2000. "Noise Traders? Trigger Rates, FX Options, and Smiles," Kiel Working Papers 970, Kiel Institute for the World Economy (IfW Kiel).
  6. Tobias Lipp & Grégoire Loeper & Olivier Pironneau, 2013. "Mixing Monte-Carlo and Partial Differential Equations for Pricing Options," Post-Print hal-01558826, HAL.
  7. Andrea Gamba & Lenos Trigeorgis, 2007. "An Improved Binomial Lattice Method for Multi-Dimensional Options," Applied Mathematical Finance, Taylor & Francis Journals, vol. 14(5), pages 453-475.
  8. Peter Christoffersen & Kris Jacobs & Chayawat Ornthanalai, 2012. "GARCH Option Valuation: Theory and Evidence," CREATES Research Papers 2012-50, Department of Economics and Business Economics, Aarhus University.
  9. Pringles, Rolando & Olsina, Fernando & Penizzotto, Franco, 2020. "Valuation of defer and relocation options in photovoltaic generation investments by a stochastic simulation-based method," Renewable Energy, Elsevier, vol. 151(C), pages 846-864.
  10. Collan, Mikael, 2008. "New Method for Real Option Valuation Using Fuzzy Numbers," Working Papers 466, IAMSR, Åbo Akademi.
  11. Bossaerts, Peter & Hillion, Pierre, 2003. "Local parametric analysis of derivatives pricing and hedging," Journal of Financial Markets, Elsevier, vol. 6(4), pages 573-605, August.
  12. Jin-Chuan Duan & Jean-Guy Simonato, 1998. "Empirical Martingale Simulation for Asset Prices," Management Science, INFORMS, vol. 44(9), pages 1218-1233, September.
  13. Martin, Vance L. & Tang, Chrismin & Yao, Wenying, 2021. "Forecasting the volatility of asset returns: The informational gains from option prices," International Journal of Forecasting, Elsevier, vol. 37(2), pages 862-880.
  14. John S. Ying & Joel S. Sternberg, 2005. "The Impact of Serial Correlation on Option Prices in a Non- Frictionless Environment: An Alternative Explanation for Volatility Skew," Working Papers 05-12, University of Delaware, Department of Economics.
  15. Qasim Nasar-Ullah, 2013. "A parallel implementation of a derivative pricing model incorporating SABR calibration and probability lookup tables," Papers 1301.3118, arXiv.org.
  16. Ahmadian, D. & Ballestra, L.V. & Shokrollahi, F., 2022. "A Monte-Carlo approach for pricing arithmetic Asian rainbow options under the mixed fractional Brownian motion," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
  17. Stentoft, Lars, 2005. "Pricing American options when the underlying asset follows GARCH processes," Journal of Empirical Finance, Elsevier, vol. 12(4), pages 576-611, September.
  18. Capuozzo, Pietro & Panella, Emanuele & Schettini Gherardini, Tancredi & Vvedensky, Dimitri D., 2021. "Path integral Monte Carlo method for option pricing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
  19. Rombouts, Jeroen & Stentoft, Lars & Violante, Franceso, 2014. "The value of multivariate model sophistication: An application to pricing Dow Jones Industrial Average options," International Journal of Forecasting, Elsevier, vol. 30(1), pages 78-98.
  20. Roberta Pellegrino & Nicola Costantino & Danilo Tauro, 2020. "Advance Purchase Discounts for Supply Chain Finance System Coordination," Sustainability, MDPI, vol. 12(23), pages 1-20, December.
  21. Sebastian Maier, 2021. "Re-evaluating natural resource investments under uncertainty: An alternative to limited traditional approaches," Annals of Operations Research, Springer, vol. 299(1), pages 907-937, April.
  22. David Heath & Eckhard Platen, 2014. "A Monte Carlo Method using PDE Expansions for a Diversifed Equity Index Model," Research Paper Series 350, Quantitative Finance Research Centre, University of Technology, Sydney.
  23. Lukito Adi Nugroho, 2017. "Real options valuation of franchise territorial exclusivity," Cogent Business & Management, Taylor & Francis Journals, vol. 4(1), pages 1262490-126, January.
  24. Huang, Ming-Guan, 2009. "Real options approach-based demand forecasting method for a range of products with highly volatile and correlated demand," European Journal of Operational Research, Elsevier, vol. 198(3), pages 867-877, November.
  25. Lin, Chung-Gee & Yang, Wei-Ning & Chen, Shu-Chuan, 2014. "Analyses of retirement benefits with options," Economic Modelling, Elsevier, vol. 36(C), pages 130-135.
  26. Grosen, Anders & Lochte Jorgensen, Peter, 2000. "Fair valuation of life insurance liabilities: The impact of interest rate guarantees, surrender options, and bonus policies," Insurance: Mathematics and Economics, Elsevier, vol. 26(1), pages 37-57, February.
  27. E. Nasakkala & J. Keppo, 2008. "Hydropower with Financial Information," Applied Mathematical Finance, Taylor & Francis Journals, vol. 15(5-6), pages 503-529.
  28. Alejandro Mac Cawley & Maximiliano Cubillos & Rodrigo Pascual, 2020. "A real options approach for joint overhaul and replacement strategies with mean reverting prices," Annals of Operations Research, Springer, vol. 286(1), pages 303-324, March.
  29. Darae Jeong & Minhyun Yoo & Changwoo Yoo & Junseok Kim, 2019. "A Hybrid Monte Carlo and Finite Difference Method for Option Pricing," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 111-124, January.
  30. Chen, Ding & Härkönen, Hannu J. & Newton, David P., 2014. "Advancing the universality of quadrature methods to any underlying process for option pricing," Journal of Financial Economics, Elsevier, vol. 114(3), pages 600-612.
  31. Tak Kuen Siu & Robert J. Elliott, 2019. "Hedging Options In A Doubly Markov-Modulated Financial Market Via Stochastic Flows," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(08), pages 1-41, December.
  32. Massimo Costabile & Arturo Leccadito & Ivar Massabó, 2009. "Computationally simple lattice methods for option and bond pricing," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 32(2), pages 161-181, November.
  33. Power, Gabriel J. & Burris, Mark & Vadali, Sharada & Vedenov, Dmitry, 2016. "Valuation of strategic options in public–private partnerships," Transportation Research Part A: Policy and Practice, Elsevier, vol. 90(C), pages 50-68.
  34. Huang, Shih-Feng & Tu, Ya-Ting, 2014. "Asymptotic distribution of the EPMS estimator for financial derivatives pricing," Computational Statistics & Data Analysis, Elsevier, vol. 73(C), pages 129-145.
  35. Kung, James J. & Wu, E-Ching, 2013. "An evaluation of some popular investment strategies under stochastic interest rates," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 96-108.
  36. Peter W. Duck & Geoffrey W. Evatt & Paul V. Johnson, 2014. "Perpetual Options on Multiple Underlyings," Applied Mathematical Finance, Taylor & Francis Journals, vol. 21(2), pages 174-200, April.
  37. Yongxin Yang & Yu Zheng & Timothy M. Hospedales, 2016. "Gated Neural Networks for Option Pricing: Rationality by Design," Papers 1609.07472, arXiv.org, revised Mar 2020.
  38. Rombouts, Jeroen V.K. & Stentoft, Lars, 2011. "Multivariate option pricing with time varying volatility and correlations," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2267-2281, September.
  39. David G. Ripplinger & Dermot J. Hayes & A. Susana Goggi & Kendall Lamkey, 2007. "Insuring Against Losses from Transgenic Contamination: The Case of Pharmaceutical Maize," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(2), pages 322-334.
  40. Paul Bilokon & Sergei Kucherenko & Casey Williams, 2022. "Quasi-Monte Carlo methods for calculating derivatives sensitivities on the GPU," Papers 2209.11337, arXiv.org.
  41. Galai, Dan & Raviv, Alon & Wiener, Zvi, 2007. "Liquidation triggers and the valuation of equity and debt," Journal of Banking & Finance, Elsevier, vol. 31(12), pages 3604-3620, December.
  42. Chi-Yo Huang & Hong-Ling Hsieh & Hueiling Chen, 2020. "Evaluating the Investment Projects of Spinal Medical Device Firms Using the Real Option and DANP-mV Based MCDM Methods," IJERPH, MDPI, vol. 17(9), pages 1-41, May.
  43. Boyle, Glenn & Irwin, Tim, 2005. "Techniques for Estimating the Fiscal Costs and Risks of Long-term Output-based Payments," Working Paper Series 3857, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
  44. Palatnik, Ruslana Rachel & Freer, Mikhail & Levin, Mark & Golberg, Alexander & Zilberman, David, 2023. "Algae-Based Two-Stage Supply Chain with Co-Products," Ecological Economics, Elsevier, vol. 207(C).
  45. Alain Chateauneuf & Mina Mostoufi & David Vyncke, 2015. "Comonotonic Monte Carlo and its applications in option pricing and quantification of risk," Documents de travail du Centre d'Economie de la Sorbonne 15015, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  46. Chow, Joseph Y.J. & Regan, Amelia C., 2011. "Network-based real option models," Transportation Research Part B: Methodological, Elsevier, vol. 45(4), pages 682-695, May.
  47. He, Ting, 2023. "An imprecise pricing model for Asian options based on Nonparametric predictive inference," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
  48. Valeriy Ryabchenko & Sergey Sarykalin & Stan Uryasev, 2004. "Pricing European Options by Numerical Replication: Quadratic Programming with Constraints," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 11(3), pages 301-333, September.
  49. Myers, Robert J. & Hanson, Steven D., 1991. "Pricing Commodity Options When The Underlying Futures Price Exhibits Time-Varying Volatility," 1991 Annual Meeting, August 4-7, Manhattan, Kansas 271194, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  50. Mahmoud A. Eissa & Boping Tian, 2017. "Lobatto-Milstein Numerical Method in Application of Uncertainty Investment of Solar Power Projects," Energies, MDPI, vol. 10(1), pages 1-19, January.
  51. Phelim P. Boyle, 1985. "La comptabilité pour les investissements en actions des compagnies d'assurance†vie," Contemporary Accounting Research, John Wiley & Sons, vol. 1(2), pages 145-175, March.
  52. M. Martin Boyer & Lars Stentoft, 2017. "Yes We Can (Price Derivatives on Survivor Indices)," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 20(1), pages 37-62, March.
  53. Rongwen Wu & Michael C. Fu, 2003. "Optimal Exercise Policies and Simulation-Based Valuation for American-Asian Options," Operations Research, INFORMS, vol. 51(1), pages 52-66, February.
  54. Alkas, Hassan, 2002. "Die neue Investitionstheorie der Realoptionen und ihre Auswirkungen auf die Regulierung im Telekommunikationssektor," WIK Discussion Papers 234, WIK Wissenschaftliches Institut für Infrastruktur und Kommunikationsdienste GmbH.
  55. Chockalingam, Arun & Muthuraman, Kumar, 2015. "An approximate moving boundary method for American option pricing," European Journal of Operational Research, Elsevier, vol. 240(2), pages 431-438.
  56. Jinke Zhou & Xiaolu Wang, 2008. "Accurate closed‐form approximation for pricing Asian and basket options," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(4), pages 343-358, July.
  57. Alexander Boogert & Cyriel de Jong, 2007. "Gas Storage Valuation Using a Monte Carlo Method," Birkbeck Working Papers in Economics and Finance 0704, Birkbeck, Department of Economics, Mathematics & Statistics.
  58. Joseph Y. J. Chow & Amelia C. Regan, 2011. "Real Option Pricing of Network Design Investments," Transportation Science, INFORMS, vol. 45(1), pages 50-63, February.
  59. Wei-Cheng Chen & Wei-Ho Chung, 2019. "Option Pricing via Multi-path Autoregressive Monte Carlo Approach," Papers 1906.06483, arXiv.org.
  60. Zbigniew Palmowski & Tomasz Serafin, 2020. "A Note on Simulation Pricing of π -Options," Risks, MDPI, vol. 8(3), pages 1-19, August.
  61. Jin, Xing & Li, Xun & Tan, Hwee Huat & Wu, Zhenyu, 2013. "A computationally efficient state-space partitioning approach to pricing high-dimensional American options via dimension reduction," European Journal of Operational Research, Elsevier, vol. 231(2), pages 362-370.
  62. Michael A. Kouritzin, 2016. "Explicit Heston Solutions and Stochastic Approximation for Path-dependent Option Pricing," Papers 1608.02028, arXiv.org, revised Apr 2018.
  63. Peter-Jan Engelen, 2004. "Criminal Behavior: A Real Option Approach With an Application to Restricting Illegal Insider Trading," European Journal of Law and Economics, Springer, vol. 17(3), pages 329-352, May.
  64. Jean C. Kouam & Simplice A. Asongu & Bin J. Meh & Robert Nantchouang & Fri L. Asanga & Denis Foretia, 2022. "A Synthetic Indicator of the Quality of Support for Businesses in Burkina-Faso, Cameroon, and Ghana," Working Papers of the African Governance and Development Institute. 22/047, African Governance and Development Institute..
  65. Sanjay Mansabdar & Hussain C. Yaganti, 2023. "Optimizing Hedging Effectiveness of Indian Agricultural Commodity Futures: A Simulation Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 13-36, March.
  66. BRATIAN Vasile, 2017. "Options Evaluation Using Monte Carlo Simulation," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 69(4), pages 30-42, November.
  67. Francois-Éric Racicot & Raymond Théoret, 2006. "La simulation de Monte Carlo: forces et faiblesses (avec applications Visual Basic et Matlab et présentation d’une nouvelle méthode QMC)," RePAd Working Paper Series UQO-DSA-wp052006, Département des sciences administratives, UQO.
  68. Siu, Tak Kuen & Yang, Hailiang & Lau, John W., 2008. "Pricing currency options under two-factor Markov-modulated stochastic volatility models," Insurance: Mathematics and Economics, Elsevier, vol. 43(3), pages 295-302, December.
  69. Keng‐Hsin Lo & Kehluh Wang & Ming‐Feng Hsu, 2008. "Pricing European Asian options with skewness and kurtosis in the underlying distribution," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(6), pages 598-616, June.
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  71. Grillo, Sebastian & Blanco, Gerardo & Schaerer, Christian E., 2015. "Path integration for real options," Applied Mathematics and Computation, Elsevier, vol. 265(C), pages 120-132.
  72. Faller, D. & Petruccione, F., 2003. "A master equation approach to option pricing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 319(C), pages 519-534.
  73. Sanjay Mansabdar & Hussain C Yaganti, 2020. "Valuing the quality option in agricultural commodity futures: a Monte Carlo simulation based approach," Papers 2006.11222, arXiv.org.
  74. Minqiang Li, 2010. "A quasi-analytical interpolation method for pricing American options under general multi-dimensional diffusion processes," Review of Derivatives Research, Springer, vol. 13(2), pages 177-217, July.
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  76. Sina Atari & Yassine Bakkar & Eunice Omolola Olaniyi & Gunnar Prause, 2019. "Real options analysis of abatement investments for sulphur emission control compliance," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 6(3), pages 1062-1087, March.
  77. Michael A. Kouritzin, 2018. "Explicit Heston Solutions And Stochastic Approximation For Path-Dependent Option Pricing," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 21(01), pages 1-45, February.
  78. Lingling Xu & Hongjie Zhang & Fu Lee Wang, 2023. "Pricing of Arithmetic Average Asian Option by Combining Variance Reduction and Quasi-Monte Carlo Method," Mathematics, MDPI, vol. 11(3), pages 1-14, January.
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  83. Kostrova, Alisa & Britz, Wolfgang & Djanibekov, Utkur & Finger, Robert, 2016. "Monte-Carlo Simulation and Stochastic Programming in Real Options Valuation: the Case of Perennial Energy Crop Cultivation," Discussion Papers 250253, University of Bonn, Institute for Food and Resource Economics.
  84. Liu, Qiang & Guo, Shuxin, 2020. "An excellent approximation for the m out of n day provision," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
  85. Carlos Andrés Zapata Quimbayo, 2020. "OPCIONES REALES Una guía teórico-práctica para la valoración de inversiones bajo incertidumbre mediante modelos en tiempo discreto y simulación de Monte Carlo," Books, Universidad Externado de Colombia, Facultad de Finanzas, Gobierno y Relaciones Internacionales, number 138, August.
  86. Boyer, M. Martin & Stentoft, Lars, 2013. "If we can simulate it, we can insure it: An application to longevity risk management," Insurance: Mathematics and Economics, Elsevier, vol. 52(1), pages 35-45.
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  93. Francesca Greselin & Fabio Piacenza & Ričardas Zitikis, 2019. "Practice Oriented and Monte Carlo Based Estimation of the Value-at-Risk for Operational Risk Measurement," Risks, MDPI, vol. 7(2), pages 1-20, May.
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