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Stathis Tompaidis

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Mark Paddrik & Stathis Tompaidis, 2019. "Market-Making Costs and Liquidity: Evidence from CDS Markets," Working Papers 19-01, Office of Financial Research, US Department of the Treasury.

    Cited by:

    1. Daniel Dimitrov & Sweder van Wijnbergen, 2022. "Quantifying Systemic Risk in the Presence of Unlisted Banks: Application to the Dutch Financial Sector," Tinbergen Institute Discussion Papers 22-034/VI, Tinbergen Institute.

  2. Stathis Tompaidis, 2017. "Measuring Systemwide Resilience of Central Counterparties," Briefs 17-03, Office of Financial Research, US Department of the Treasury.

    Cited by:

    1. Office of Financial Research (ed.), . "New Public Disclosures Shed Light on Central Counterparties," Viewpoint Papers, Office of Financial Research, US Department of the Treasury, number 17-02, May.

  3. Viktoria Baklanova & Ocean Dalton & Stathis Tompaidis, 2017. "Benefits and Risks of Central Clearing in the Repo Market," Briefs 17-04, Office of Financial Research, US Department of the Treasury.

    Cited by:

    1. van Horen, Neeltje & Kotidis, Antonios, 2018. "Repo market functioning: The role of capital regulation," CEPR Discussion Papers 13090, C.E.P.R. Discussion Papers.
    2. Massimiliano Affinito & Matteo Piazza, 2021. "Always Look on the Bright Side? Central Counterparties and Interbank Markets during the Financial Crisis," International Journal of Central Banking, International Journal of Central Banking, vol. 17(1), pages 231-283, March.
    3. Cyril Monnet & Thomas Nellen, 2014. "The Collateral Costs of Clearing," Working Papers 2014-04, Swiss National Bank.
    4. Cristina Di Luigi & Antonio Perrella & Alessio Ruggieri, 2024. "The fundamental role of the repo market and central clearing," Mercati, infrastrutture, sistemi di pagamento (Markets, Infrastructures, Payment Systems) 48, Bank of Italy, Directorate General for Markets and Payment System.
    5. Miguel Fernandes & Mario Pascoa, 2024. "Repo, Sponsored Repo and Macro-prudential Regulation," School of Economics Discussion Papers 0224, School of Economics, University of Surrey.
    6. Joseph Noss & Rupal Patel, 2019. "Decomposing changes in the functioning of the sterling repo market," Bank of England working papers 797, Bank of England.

  4. Kaniel, Ron & tompaidis, stathis & Zhou, Ti, 2017. "Impact of Managerial Commitment on Risk Taking with Dynamic Fund Flows," CEPR Discussion Papers 12285, C.E.P.R. Discussion Papers.

    Cited by:

    1. Yu Huang & Nengjiu Ju & Hao Xing, 2023. "Performance Evaluation, Managerial Hedging, and Contract Termination," Management Science, INFORMS, vol. 69(8), pages 4953-4971, August.
    2. Ibert, Markus, 2023. "What do mutual fund managers’ private portfolios tell us about their skills?," Journal of Financial Intermediation, Elsevier, vol. 53(C).
    3. Dou, Winston Wei & Ji, Yan & Wu, Wei, 2021. "Competition, profitability, and discount rates," Journal of Financial Economics, Elsevier, vol. 140(2), pages 582-620.

  5. Stathis Tompaidis & Sanjay Srivastava & Michael Gallmeyer & Paul Ehling, 2008. "Portfolio Choice with Capital Gain Taxation and the Limited Use of Losses," 2008 Meeting Papers 769, Society for Economic Dynamics.

    Cited by:

    1. Lorenz, Daniela, 2009. "Portfolioauswahl bei Besteuerung realisierter Kursänderungen," Discussion Papers 2009/17, Free University Berlin, School of Business & Economics.
    2. Marekwica, Marcel, 2012. "Optimal tax-timing and asset allocation when tax rebates on capital losses are limited," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 2048-2063.
    3. Niemann, Rainer & Sureth, Caren, 2009. "Investment effects of capital gains taxation under simultaneous investment and abandonment flexibility," arqus Discussion Papers in Quantitative Tax Research 77, arqus - Arbeitskreis Quantitative Steuerlehre.
    4. Annika Hegemann & Angela Kunoth & Kristina Rupp & Caren Sureth-Sloane, 2017. "Hold or sell? How capital gains taxation affects holding decisions," Review of Managerial Science, Springer, vol. 11(3), pages 571-603, July.
    5. Martin Haugh & Garud Iyengar & Chun Wang, 2016. "Tax-Aware Dynamic Asset Allocation," Operations Research, INFORMS, vol. 64(4), pages 849-866, August.
    6. Hegemann, Annika & Kunoth, Angela & Rupp, Kristina & Sureth, Caren, 2015. "Impact of capital gains taxation on the holding period of investments under different tax systems," arqus Discussion Papers in Quantitative Tax Research 183, arqus - Arbeitskreis Quantitative Steuerlehre.

  6. Albanese, Claudio & Lo, Harry & Stathis, Tompaidis, 2006. "A Numerical Method for Pricing Electricity Derivatives for Jump-Diffusion Processes Based on Continuous Time Lattices," MPRA Paper 5245, University Library of Munich, Germany.

    Cited by:

    1. Rafal Weron, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," HSC Research Reports HSC/14/07, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    2. Mitra, Sovan & Date, Paresh & Mamon, Rogemar & Wang, I-Chieh, 2013. "Pricing and risk management of interest rate swaps," European Journal of Operational Research, Elsevier, vol. 228(1), pages 102-111.
    3. Ethem Çanakoğlu & Esra Adıyeke, 2020. "Comparison of Electricity Spot Price Modelling and Risk Management Applications," Energies, MDPI, vol. 13(18), pages 1-22, September.
    4. Farrell, Niall & Devine, Mel & Lee, William & Gleeson, James & Lyons, Seán, 2013. "Specifying An Efficient Renewable Energy Feed-in Tariff," MPRA Paper 49777, University Library of Munich, Germany.
    5. Islyaev, Suren & Date, Paresh, 2015. "Electricity futures price models: Calibration and forecasting," European Journal of Operational Research, Elsevier, vol. 247(1), pages 144-154.
    6. Helyette Geman & Stelios Kourouvakalis, 2008. "A Lattice-Based Method for Pricing Electricity Derivatives Under the Threshold Model," Applied Mathematical Finance, Taylor & Francis Journals, vol. 15(5-6), pages 531-567.
    7. Kourouvakalis, Stylianos, 2008. "Méthodes numériques pour la valorisation d'options swings et autres problèmes sur les matières premières," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/116 edited by Geman, Hélyette.

Articles

  1. Daniel Mitchell & Jȩdrzej Białkowski & Stathis Tompaidis, 2020. "Volume-weighted average price tracking: A theoretical and empirical study," IISE Transactions, Taylor & Francis Journals, vol. 52(8), pages 864-889, August.

    Cited by:

    1. Wentao Hu & Cuixia Chen & Yufeng Shi & Ze Chen, 2022. "A Tail Measure With Variable Risk Tolerance: Application in Dynamic Portfolio Insurance Strategy," Methodology and Computing in Applied Probability, Springer, vol. 24(2), pages 831-874, June.
    2. Papa Ousseynou Diop, 2024. "An Econometric and Time Series Analysis of the USTC Depeg’s Impact on the LUNA Classic Price Crash During Spring 2022’s Crypto Market Turmoil," Commodities, MDPI, vol. 3(4), pages 1-29, December.

  2. Ron Kaniel & Stathis Tompaidis & Ti Zhou, 2019. "Impact of Managerial Commitment on Risk Taking with Dynamic Fund Flows," Management Science, INFORMS, vol. 65(7), pages 3174-3195, July.
    See citations under working paper version above.
  3. Paul Ehling & Michael Gallmeyer & Sanjay Srivastava & Stathis Tompaidis & Chunyu Yang, 2018. "Portfolio Tax Trading with Carryover Losses," Management Science, INFORMS, vol. 64(9), pages 4156-4176, September.

    Cited by:

    1. McKeever, Daniel & Rydqvist, Kristian, 2022. "Tax-loss harvesting under uncertainty," Journal of Banking & Finance, Elsevier, vol. 140(C).
    2. D. Th. Vezeris & C. J. Schinas & Th. S. Kyrgos & V. A. Bizergianidou & I. P. Karkanis, 2020. "Optimization of Backtesting Techniques in Automated High Frequency Trading Systems Using the d-Backtest PS Method," Computational Economics, Springer;Society for Computational Economics, vol. 56(4), pages 975-1054, December.
    3. Baojun Bian & Xinfu Chen & Min Dai & Shuaijie Qian, 2021. "Penalty method for portfolio selection with capital gains tax," Mathematical Finance, Wiley Blackwell, vol. 31(3), pages 1013-1055, July.

  4. Roche, Hervé & Tompaidis, Stathis & Yang, Chunyu, 2013. "Why does junior put all his eggs in one basket? A potential rational explanation for holding concentrated portfolios," Journal of Financial Economics, Elsevier, vol. 109(3), pages 775-796.

    Cited by:

    1. Turan G. Bali & Nusret Cakici & Robert F. Whitelaw, 2013. "Hybrid Tail Risk and Expected Stock Returns: When Does the Tail Wag the Dog?," NBER Working Papers 19460, National Bureau of Economic Research, Inc.
    2. Candelon, Bertrand & Fuerst, Franz & Hasse, Jean-Baptiste, 2021. "Diversification Potential in Real Estate Portfolios," LIDAM Discussion Papers LFIN 2021001, Université catholique de Louvain, Louvain Finance (LFIN).
    3. Pham, Quynh Thi Thuy, 2021. "Stock Return Predictability: Evidence Across US Industries," Finance Research Letters, Elsevier, vol. 38(C).
    4. Elisabeth Beckmann & Mariya Hake & Jarmila Urvová, 2013. "Determinants of Households’ Savings in Central, Eastern and Southeastern Europe," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 8-29.
    5. Rupali Misra & Sumita Srivastava & D. K. Banwet, 2019. "Are type B investors efficacious? Exploring role of personality in ambidextrous investment decision-making," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 46(1), pages 27-34, March.
    6. Raslan Alzuabi & Sarah Brown & Mark N. Harris & Karl Taylor, 2024. "Modelling the composition of household portfolios: A latent class approach," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 57(1), pages 243-275, February.
    7. Ethan Hunt & Dr. Hyungjoon Jeon & Dr. Sang Lee, 2021. "Determinants of Household Savings: An Empirical Evidence from the OECD Member Countries," Business and Economic Research, Macrothink Institute, vol. 11(2), pages 62-75, June.
    8. Fricke, Daniel, 2018. "Are specialist funds “special”?," LSE Research Online Documents on Economics 91335, London School of Economics and Political Science, LSE Library.
    9. Nagano, Mamoru & Uchida, Yuki, 2021. "Online Banking Users vs. Branch Visitors: Why Are Their Portfolio Returns Different?," MPRA Paper 105531, University Library of Munich, Germany.
    10. Castañeda, Pablo & Reus, Lorenzo, 2019. "Suboptimal investment behavior and welfare costs: A simulation based approach," Finance Research Letters, Elsevier, vol. 30(C), pages 170-180.
    11. Cheng, Tzu-Chang Forrest & Huang, Hsuan-Hua & Lin, Tse-Chun & Yang, Tzu-Ting & Zhu, Jian-Da, 2025. "Windfall gains and stock market participation: Evidence from shopping receipt lottery," Journal of Banking & Finance, Elsevier, vol. 172(C).
    12. Annaert, Jan & Verdickt, Gertjan, 2021. "Go active or stay passive: Investment trust, financial innovation and diversification in Belgium's early days," Explorations in Economic History, Elsevier, vol. 79(C).

  5. Albanese, Claudio & Lo, Harry & Tompaidis, Stathis, 2012. "A numerical algorithm for pricing electricity derivatives for jump-diffusion processes based on continuous time lattices," European Journal of Operational Research, Elsevier, vol. 222(2), pages 361-368.

    Cited by:

    1. Loutfi, Ahmad Amine & Sun, Mengtao & Loutfi, Ijlal & Solibakke, Per Bjarte, 2022. "Empirical study of day-ahead electricity spot-price forecasting: Insights into a novel loss function for training neural networks," Applied Energy, Elsevier, vol. 319(C).
    2. Rafal Weron, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," HSC Research Reports HSC/14/07, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    3. Mitra, Sovan & Date, Paresh & Mamon, Rogemar & Wang, I-Chieh, 2013. "Pricing and risk management of interest rate swaps," European Journal of Operational Research, Elsevier, vol. 228(1), pages 102-111.
    4. Ethem Çanakoğlu & Esra Adıyeke, 2020. "Comparison of Electricity Spot Price Modelling and Risk Management Applications," Energies, MDPI, vol. 13(18), pages 1-22, September.
    5. Alexandre Lucas & Konstantinos Pegios & Evangelos Kotsakis & Dan Clarke, 2020. "Price Forecasting for the Balancing Energy Market Using Machine-Learning Regression," Energies, MDPI, vol. 13(20), pages 1-16, October.
    6. Kolb, Sebastian & Dillig, Marius & Plankenbühler, Thomas & Karl, Jürgen, 2020. "The impact of renewables on electricity prices in Germany - An update for the years 2014–2018," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    7. Islyaev, Suren & Date, Paresh, 2015. "Electricity futures price models: Calibration and forecasting," European Journal of Operational Research, Elsevier, vol. 247(1), pages 144-154.
    8. Ioannidis, Filippos & Kosmidou, Kyriaki & Savva, Christos & Theodossiou, Panayiotis, 2021. "Electricity pricing using a periodic GARCH model with conditional skewness and kurtosis components," Energy Economics, Elsevier, vol. 95(C).
    9. Ehsani, Behdad & Pineau, Pierre-Olivier & Charlin, Laurent, 2024. "Price forecasting in the Ontario electricity market via TriConvGRU hybrid model: Univariate vs. multivariate frameworks," Applied Energy, Elsevier, vol. 359(C).

  6. Ehud I. Ronn & Akin Sayrak & Stathis Tompaidis, 2009. "The Impact of Large Changes in Asset Prices on Intra‐Market Correlations in the Domestic and International Markets," The Financial Review, Eastern Finance Association, vol. 44(3), pages 405-436, August.

    Cited by:

    1. Urbina, Jilber, 2013. "Contagion or Interdependence in the recent Global Financial Crisis? An application to the stock markets using unconditional cross-market correlations," Working Papers 2072/211884, Universitat Rovira i Virgili, Department of Economics.
    2. Pejman Abedifar & Paolo Giudici & Shatha Hashem, 2017. "Heterogeneous Market Structure and Systemic Risk: Evidence from Dual Banking Systems," DEM Working Papers Series 134, University of Pavia, Department of Economics and Management.
    3. Aboagye, Ernest & Ko, Stanley Iat-Meng & Lo, Chia Chun & Hsiao, Cody Yu-Ling & Peng, Liang, 2024. "A contagion test with unspecified heteroscedastic errors," Journal of Economic Dynamics and Control, Elsevier, vol. 159(C).
    4. Diebold, Francis X. & Yilmaz, Kamil, 2015. "Financial and Macroeconomic Connectedness: A Network Approach to Measurement and Monitoring," OUP Catalogue, Oxford University Press, number 9780199338306, Decembrie.
    5. You, Leyuan & Daigler, Robert T., 2010. "Is international diversification really beneficial?," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 163-173, January.
    6. Nina Tessler & Itzhak Venezia, 2022. "A multicountry measure of comovement and contagion in international markets: definition and applications," Review of Quantitative Finance and Accounting, Springer, vol. 58(4), pages 1307-1330, May.
    7. Ana González-Urteaga & Belén Nieto & Gonzalo Rubio, 2022. "Spillover dynamics effects between risk-neutral equity and Treasury volatilities," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(4), pages 663-708, December.

  7. Ron Kaniel & Stathis Tompaidis & Alexander Zemlianov, 2008. "Efficient Computation of Hedging Parameters for Discretely Exercisable Options," Operations Research, INFORMS, vol. 56(4), pages 811-826, August.

    Cited by:

    1. Nan Chen & Yanchu Liu, 2014. "American Option Sensitivities Estimation via a Generalized Infinitesimal Perturbation Analysis Approach," Operations Research, INFORMS, vol. 62(3), pages 616-632, June.
    2. Secomandi, Nicola & Seppi, Duane J., 2014. "Real Options and Merchant Operations of Energy and Other Commodities," Foundations and Trends(R) in Technology, Information and Operations Management, now publishers, vol. 6(3-4), pages 161-331, July.
    3. Jain, Shashi & Oosterlee, Cornelis W., 2015. "The Stochastic Grid Bundling Method: Efficient pricing of Bermudan options and their Greeks," Applied Mathematics and Computation, Elsevier, vol. 269(C), pages 412-431.

  8. Albanese, Claudio & Tompaidis, Stathis, 2008. "Small transaction cost asymptotics and dynamic hedging," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1404-1414, March.

    Cited by:

    1. Marroquı´n-Martı´nez, Naroa & Moreno, Manuel, 2013. "Optimizing bounds on security prices in incomplete markets. Does stochastic volatility specification matter?," European Journal of Operational Research, Elsevier, vol. 225(3), pages 429-442.
    2. Jinqiang Yang & Zhaojun Yang, 2012. "Arbitrage-free interval and dynamic hedging in an illiquid market," Quantitative Finance, Taylor & Francis Journals, vol. 13(7), pages 1029-1039, May.
    3. Alet Roux, 2007. "The fundamental theorem of asset pricing under proportional transaction costs," Papers 0710.2758, arXiv.org.

  9. Gallmeyer, Michael F. & Kaniel, Ron & Tompaidis, Stathis, 2006. "Tax management strategies with multiple risky assets," Journal of Financial Economics, Elsevier, vol. 80(2), pages 243-291, May.

    Cited by:

    1. Claudio Campanale & Carolina Fugazza & Francisco Gomes, 2012. "Life-Cycle Portfolio Choice with Liquid and Illiquid Financial Assets," Carlo Alberto Notebooks 269, Collegio Carlo Alberto.
    2. Roche, Hervé & Tompaidis, Stathis & Yang, Chunyu, 2013. "Why does junior put all his eggs in one basket? A potential rational explanation for holding concentrated portfolios," Journal of Financial Economics, Elsevier, vol. 109(3), pages 775-796.
    3. Fischer, Marcel & Kraft, Holger & Munk, Claus, 2013. "Asset allocation over the life cycle: How much do taxes matter?," Journal of Economic Dynamics and Control, Elsevier, vol. 37(11), pages 2217-2240.
    4. Gomes, Francisco & Fugazza, Carolina & Campanale, Claudio, 2015. "Life-Cycle Portfolio choice with Liquid and Illiquid Assets," CEPR Discussion Papers 10369, C.E.P.R. Discussion Papers.
    5. Paul Ehling & Michael Gallmeyer & Sanjay Srivastava & Stathis Tompaidis & Chunyu Yang, 2018. "Portfolio Tax Trading with Carryover Losses," Management Science, INFORMS, vol. 64(9), pages 4156-4176, September.
    6. Tian-Shyr Dai & Bo-Jen Chen & You-Jia Sun & Dong-Yuh Yang & Mu-En Wu, 2024. "Constructing Optimal Portfolio Rebalancing Strategies with a Two-Stage Multiresolution-Grid Model," Computational Economics, Springer;Society for Computational Economics, vol. 64(5), pages 3117-3142, November.
    7. Huang, Huaxiong & Milevsky, Moshe A., 2016. "Longevity risk and retirement income tax efficiency: A location spending rate puzzle," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 50-62.
    8. Lin, Tsai-Yu & Chen, Cathy W.S. & Syu, Fong-Yi, 2021. "Multi-asset pair-trading strategy: A statistical learning approach," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    9. Astrup Jensen, Bjarne & Marekwica, Marcel, 2011. "Optimal portfolio choice with wash sale constraints," Journal of Economic Dynamics and Control, Elsevier, vol. 35(11), pages 1916-1937.
    10. Fischer, Marcel & Gallmeyer, Michael F., 2016. "Heuristic portfolio trading rules with capital gain taxes," Journal of Financial Economics, Elsevier, vol. 119(3), pages 611-625.
    11. Marekwica, Marcel & Schaefer, Alexander & Sebastian, Steffen, 2013. "Life cycle asset allocation in the presence of housing and tax-deferred investing," Journal of Economic Dynamics and Control, Elsevier, vol. 37(6), pages 1110-1125.
    12. Marekwica, Marcel, 2012. "Optimal tax-timing and asset allocation when tax rebates on capital losses are limited," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 2048-2063.
    13. Birge, John R. & Yang, Song, 2007. "A model for tax advantages of portfolios with many assets," Journal of Banking & Finance, Elsevier, vol. 31(11), pages 3269-3290, November.
    14. Eikseth, Hans Marius & Lindset, Snorre, 2009. "A note on capital asset pricing and heterogeneous taxes," Journal of Banking & Finance, Elsevier, vol. 33(3), pages 573-577, March.
    15. Michaelides, Alexander & Gomes, Francisco & ,, 2005. "Wealth Accumulation and Portfolio Choice with Taxable and Tax-Deferred Accounts," CEPR Discussion Papers 4852, C.E.P.R. Discussion Papers.
    16. Min Dai & Yipeng Jiang & Hong Liu & Jing Xu, 2023. "A Rational Theory for Disposition Effects," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 47, pages 131-157, January.
    17. Rainer Niemann & Mariana Sailer, 2023. "Is analytical tax research alive and kicking? Insights from 2000 until 2022," Journal of Business Economics, Springer, vol. 93(6), pages 1149-1212, August.
    18. Denis Gorea, 2013. "Tax Avoidance, Welfare Transfers, and Asset Prices," 2013 Meeting Papers 1054, Society for Economic Dynamics.
    19. Baojun Bian & Xinfu Chen & Min Dai & Shuaijie Qian, 2021. "Penalty method for portfolio selection with capital gains tax," Mathematical Finance, Wiley Blackwell, vol. 31(3), pages 1013-1055, July.
    20. Martin Haugh & Garud Iyengar & Chun Wang, 2016. "Tax-Aware Dynamic Asset Allocation," Operations Research, INFORMS, vol. 64(4), pages 849-866, August.
    21. Jiatu Cai & Xinfu Chen & Min Dai, 2018. "Portfolio Selection with Capital Gains Tax, Recursive Utility, and Regime Switching," Management Science, INFORMS, vol. 64(5), pages 2308-2324, May.

  10. Ross Baldick & Sergey Kolos & Stathis Tompaidis, 2006. "Interruptible Electricity Contracts from an Electricity Retailer's Point of View: Valuation and Optimal Interruption," Operations Research, INFORMS, vol. 54(4), pages 627-642, August.

    Cited by:

    1. Augusto Rupérez-Micola & Albert Banal-Estañol, 2007. "Composition of electricity generation portfolios, pivotal dynamics and market prices," Economics Working Papers 1083, Department of Economics and Business, Universitat Pompeu Fabra.
    2. Alasseri, Rajeev & Tripathi, Ashish & Joji Rao, T. & Sreekanth, K.J., 2017. "A review on implementation strategies for demand side management (DSM) in Kuwait through incentive-based demand response programs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 617-635.
    3. Binbin Li & Yu Tian & Fred Chen & Tongdan Jin, 2017. "Toward net-zero carbon manufacturing operations: an onsite renewables solution," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(3), pages 308-321, March.
    4. Kovacevic, Raimund M. & Pflug, Georg Ch., 2014. "Electricity swing option pricing by stochastic bilevel optimization: A survey and new approaches," European Journal of Operational Research, Elsevier, vol. 237(2), pages 389-403.
    5. Albanese, Claudio & Lo, Harry & Tompaidis, Stathis, 2012. "A numerical algorithm for pricing electricity derivatives for jump-diffusion processes based on continuous time lattices," European Journal of Operational Research, Elsevier, vol. 222(2), pages 361-368.
    6. Radu Porumb & Petru Postolache & George Serițan & Ramona Vatu & Oana Ceaki, 2013. "Load profiles analysis for electricity market," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 1(2), pages 30-38, December.
    7. Wang, Tian & Deng, Shiming, 2019. "Multi-Period energy procurement policies for smart-grid communities with deferrable demand and supplementary uncertain power supplies," Omega, Elsevier, vol. 89(C), pages 212-226.
    8. Vishwakant Malladi & Rafael Mendoza-Arriaga & Stathis Tompaidis, 2020. "Modeling Dependent Outages of Electric Power Plants," Operations Research, INFORMS, vol. 68(1), pages 1-15, January.
    9. Ali Fattahi & Sriram Dasu & Reza Ahmadi, 2023. "Peak-Load Energy Management by Direct Load Control Contracts," Management Science, INFORMS, vol. 69(5), pages 2788-2813, May.
    10. Fred Schroyen & Adekola Oyenuga, 2011. "Optimal pricing and capacity choice for a public service under risk of interruption," Journal of Regulatory Economics, Springer, vol. 39(3), pages 252-272, June.
    11. Meyabadi, A. Fattahi & Deihimi, M.H., 2017. "A review of demand-side management: Reconsidering theoretical framework," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 367-379.
    12. Ghosh, Ranjan & Goyal, Yugank & Rommel, Jens & Sagebiel, Julian, 2017. "Are small firms willing to pay for improved power supply? Evidence from a contingent valuation study in India," Energy Policy, Elsevier, vol. 109(C), pages 659-665.
    13. Gautam Gowrisankaran & Stanley S. Reynolds & Mario Samano, 2016. "Intermittency and the Value of Renewable Energy," Journal of Political Economy, University of Chicago Press, vol. 124(4), pages 1187-1234.
    14. Gila E. Fruchter & Hussein Naseraldin, 2021. "Coordinating Carbon Emissions via Production Quantities: A Differential Game Approach," Games, MDPI, vol. 12(1), pages 1-16, February.
    15. Chung-Li & Wei Zhu & Alexandre Dmitriev, 2009. "Variable Capacity Utilization, Ambient Temperature Shocks and Generation Asset Valuation," Discussion Papers 2009-14, School of Economics, The University of New South Wales.
    16. Alasseri, Rajeev & Rao, T. Joji & Sreekanth, K.J., 2020. "Institution of incentive-based demand response programs and prospective policy assessments for a subsidized electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    17. Çağrı Latifoğlu & Pietro Belotti & Lawrence V. Snyder, 2013. "Models for production planning under power interruptions," Naval Research Logistics (NRL), John Wiley & Sons, vol. 60(5), pages 413-431, August.
    18. Deng, Shi-Jie & Xu, Li, 2009. "Mean-risk efficient portfolio analysis of demand response and supply resources," Energy, Elsevier, vol. 34(10), pages 1523-1529.

  11. Patrick Jaillet & Ehud I. Ronn & Stathis Tompaidis, 2004. "Valuation of Commodity-Based Swing Options," Management Science, INFORMS, vol. 50(7), pages 909-921, July.

    Cited by:

    1. Marcus Eriksson & Jukka Lempa & Trygve Kastberg Nilssen, 2013. "Swing options in commodity markets: A multidimensional L\'evy diffusion model," Papers 1302.6399, arXiv.org.
    2. Jiao Wang & Lima Zhao & Arnd Huchzermeier, 2021. "Operations‐Finance Interface in Risk Management: Research Evolution and Opportunities," Production and Operations Management, Production and Operations Management Society, vol. 30(2), pages 355-389, February.
    3. N. Aleksandrov & B. Hambly, 2010. "A dual approach to multiple exercise option problems under constraints," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 71(3), pages 503-533, June.
    4. Zhang, Xiaokong & Chai, Jian & Tian, Lingyue & Pan, Yue & Wang, Jiaoyan, 2024. "What drives the high-risk spillover of benchmark oil prices into China's LNG market?," Energy, Elsevier, vol. 306(C).
    5. Guoming Lai & Mulan X. Wang & Sunder Kekre & Alan Scheller-Wolf & Nicola Secomandi, 2011. "Valuation of Storage at a Liquefied Natural Gas Terminal," Operations Research, INFORMS, vol. 59(3), pages 602-616, June.
    6. Möst, Dominik & Keles, Dogan, 2010. "A survey of stochastic modelling approaches for liberalised electricity markets," European Journal of Operational Research, Elsevier, vol. 207(2), pages 543-556, December.
    7. Cartea, Álvaro & González-Pedraz, Carlos, 2010. "How much should we pay for interconnecting electricity markets? A real options approach," DEE - Working Papers. Business Economics. WB wb103206, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    8. Nicolas Curin & Michael Kettler & Xi Kleisinger-Yu & Vlatka Komaric & Thomas Krabichler & Josef Teichmann & Hanna Wutte, 2021. "A deep learning model for gas storage optimization," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(2), pages 1021-1037, December.
    9. Dong, Wenfeng & Kang, Boda, 2019. "Analysis of a multiple year gas sales agreement with make-up, carry-forward and indexation," Energy Economics, Elsevier, vol. 79(C), pages 76-96.
    10. John Schoenmakers, 2012. "A pure martingale dual for multiple stopping," Finance and Stochastics, Springer, vol. 16(2), pages 319-334, April.
    11. M’hamed Gaïgi & Stéphane Goutte & Idris Kharroubi & Thomas Lim, 2021. "Optimal risk management problem of natural resources: application to oil drilling," Annals of Operations Research, Springer, vol. 297(1), pages 147-166, February.
    12. Anna Maria Gambaro & Nicola Secomandi, 2021. "A Discussion of Non‐Gaussian Price Processes for Energy and Commodity Operations," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 47-67, January.
    13. Yangfang (Helen) Zhou & Alan Scheller‐Wolf & Nicola Secomandi & Stephen Smith, 2019. "Managing Wind‐Based Electricity Generation in the Presence of Storage and Transmission Capacity," Production and Operations Management, Production and Operations Management Society, vol. 28(4), pages 970-989, April.
    14. Warren J. Hahn & James S. Dyer, 2011. "A Discrete Time Approach for Modeling Two-Factor Mean-Reverting Stochastic Processes," Decision Analysis, INFORMS, vol. 8(3), pages 220-232, September.
    15. d'Halluin, Y. & Forsyth, P.A. & Vetzal, K.R., 2007. "Wireless network capacity management: A real options approach," European Journal of Operational Research, Elsevier, vol. 176(1), pages 584-609, January.
    16. Yangfang (Helen) Zhou & Alan Scheller-Wolf & Nicola Secomandi & Stephen Smith, 2016. "Electricity Trading and Negative Prices: Storage vs. Disposal," Management Science, INFORMS, vol. 62(3), pages 880-898, March.
    17. Secomandi, Nicola & Seppi, Duane J., 2014. "Real Options and Merchant Operations of Energy and Other Commodities," Foundations and Trends(R) in Technology, Information and Operations Management, now publishers, vol. 6(3-4), pages 161-331, July.
    18. Chris Kenyon & Andrew Green, 2016. "Option-Based Pricing of Wrong Way Risk for CVA," Papers 1609.00819, arXiv.org, revised Oct 2021.
    19. Nicola Secomandi, 2010. "Optimal Commodity Trading with a Capacitated Storage Asset," Management Science, INFORMS, vol. 56(3), pages 449-467, March.
    20. Nadarajah, Selvaprabu & Secomandi, Nicola, 2023. "A review of the operations literature on real options in energy," European Journal of Operational Research, Elsevier, vol. 309(2), pages 469-487.
    21. Roberto Daluiso & Emanuele Nastasi & Andrea Pallavicini & Giulio Sartorelli, 2020. "Pricing commodity swing options," Papers 2001.08906, arXiv.org.
    22. Víctor Manuel García de la Vega & Antonio Ruiz Porras, 2009. "Modelos Estocásticos para el Precio Spot y del Futuro de Commodities con Alta Volatilidad y Reversión a la Media," Revista de Administración, Finanzas y Economía (Journal of Management, Finance and Economics), Tecnológico de Monterrey, Campus Ciudad de México, vol. 3(2), pages 1-24.
    23. Christian Bender, 2011. "Dual pricing of multi-exercise options under volume constraints," Finance and Stochastics, Springer, vol. 15(1), pages 1-26, January.
    24. Nikolay Aleksandrov & Raphael Espinoza & Lajos Gyurko, 2012. "Optimal Oil Production and the World Supply of Oil," OxCarre Working Papers 092, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
    25. Kovacevic, Raimund M. & Pflug, Georg Ch., 2014. "Electricity swing option pricing by stochastic bilevel optimization: A survey and new approaches," European Journal of Operational Research, Elsevier, vol. 237(2), pages 389-403.
    26. Alvaro Cartea & Thomas Williams, 2006. "UK Gas Markets: the Market Price of Risk and Applications to Multiple Interruptible Supply Contracts," Birkbeck Working Papers in Economics and Finance 0608, Birkbeck, Department of Economics, Mathematics & Statistics.
    27. Tapio Behrndt & Ren-Raw Chen, 2022. "A New Look at the Swing Contract: From Linear Programming to Particle Swarm Optimization," JRFM, MDPI, vol. 15(6), pages 1-20, May.
    28. Rodrigo S. Targino & Gareth W. Peters & Georgy Sofronov & Pavel V. Shevchenko, 2013. "Optimal insurance purchase strategies via optimal multiple stopping times," Papers 1312.0424, arXiv.org.
    29. M. Wahab & Chi-Guhn Lee, 2011. "Pricing swing options with regime switching," Annals of Operations Research, Springer, vol. 185(1), pages 139-160, May.
    30. Nicola Secomandi & Guoming Lai & François Margot & Alan Scheller-Wolf & Duane J. Seppi, 2015. "Merchant Commodity Storage and Term-Structure Model Error," Manufacturing & Service Operations Management, INFORMS, vol. 17(3), pages 302-320, July.
    31. Callegaro, Giorgia & Campi, Luciano & Giusto, Valeria & Vargiolu, Tiziano, 2017. "Utility indifference pricing and hedging for structured contracts in energy markets," LSE Research Online Documents on Economics 68953, London School of Economics and Political Science, LSE Library.
    32. Christian Bender & Nikolai Dokuchaev, 2013. "A First-Order BSPDE for Swing Option Pricing," Papers 1305.3988, arXiv.org.
    33. Francisco Bernal & Emmanuel Gobet & Jacques Printems, 2020. "Volatility Uncertainty Quantification in a Stochastic Control Problem Applied to Energy," Methodology and Computing in Applied Probability, Springer, vol. 22(1), pages 135-159, March.
    34. Nicolas Essis-Breton & Patrice Gaillardetz, 2020. "Fast Lower and Upper Estimates for the Price of Constrained Multiple Exercise American Options by Single Pass Lookahead Search and Nearest-Neighbor Martingale," Papers 2002.11258, arXiv.org.
    35. Vincent Lemaire & Gilles Pag`es & Christian Yeo, 2023. "Swing contract pricing: with and without Neural Networks," Papers 2306.03822, arXiv.org, revised Mar 2024.
    36. Nikodinoska, Dragana & Käso, Mathias & Müsgens, Felix, 2022. "Solar and wind power generation forecasts using elastic net in time-varying forecast combinations," Applied Energy, Elsevier, vol. 306(PA).
    37. Eric Dahlgren & Tim Leung, 2015. "An Optimal Multiple Stopping Approach to Infrastructure Investment Decisions," Papers 1502.00861, arXiv.org.
    38. E. Nasakkala & J. Keppo, 2008. "Hydropower with Financial Information," Applied Mathematical Finance, Taylor & Francis Journals, vol. 15(5-6), pages 503-529.
    39. Soren Christensen & Albrecht Irle & Stephan Jurgens, 2012. "Optimal multiple stopping with random waiting times," Papers 1205.1966, arXiv.org.
    40. Felix, Bastian Joachim & Weber, Christoph, 2012. "Gas storage valuation applying numerically constructed recombining trees," European Journal of Operational Research, Elsevier, vol. 216(1), pages 178-187.
    41. Selvaprabu Nadarajah & François Margot & Nicola Secomandi, 2015. "Relaxations of Approximate Linear Programs for the Real Option Management of Commodity Storage," Management Science, INFORMS, vol. 61(12), pages 3054-3076, December.
    42. 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.
    43. Owen Q. Wu & Derek D. Wang & Zhenwei Qin, 2012. "Seasonal Energy Storage Operations with Limited Flexibility: The Price-Adjusted Rolling Intrinsic Policy," Manufacturing & Service Operations Management, INFORMS, vol. 14(3), pages 455-471, July.
    44. R. Mark Reesor & T. James Marshall, 2020. "Forest of Stochastic Trees: A Method for Valuing Multiple Exercise Options," JRFM, MDPI, vol. 13(5), pages 1-31, May.
    45. Paul Glasserman & Zhenyu Wang, 2011. "Valuing the Treasury's Capital Assistance Program," Management Science, INFORMS, vol. 57(7), pages 1195-1211, July.
    46. Dong Gu Choi & Daiki Min & Jong-hyun Ryu, 2018. "Economic Value Assessment and Optimal Sizing of an Energy Storage System in a Grid-Connected Wind Farm," Energies, MDPI, vol. 11(3), pages 1-23, March.
    47. Rodrigo S. Targino & Gareth W. Peters & Georgy Sofronov & Pavel V. Shevchenko, 2017. "Optimal Exercise Strategies for Operational Risk Insurance via Multiple Stopping Times," Methodology and Computing in Applied Probability, Springer, vol. 19(2), pages 487-518, June.
    48. Mario Domingues de Paula Simões & Marcelo Cabus Klotzle & Antonio Carlos Figueiredo Pinto & Leonardo Lima Gomes, 2016. "Electricity prices forecast analysis using the extreme value theory," International Journal of Financial Markets and Derivatives, Inderscience Enterprises Ltd, vol. 5(1), pages 1-22.
    49. L. Schneider & B. Tavin, 2024. "Seasonal volatility in agricultural markets: modelling and empirical investigations," Annals of Operations Research, Springer, vol. 334(1), pages 7-58, March.
    50. Jinniao Qiu & Antony Ware & Yang Yang, 2024. "Stochastic Path-Dependent Volatility Models for Price-Storage Dynamics in Natural Gas Markets and Discrete-Time Swing Option Pricing," Papers 2406.16400, arXiv.org.
    51. Karakoyun, Ece Cigdem & Avci, Harun & Kocaman, Ayse Selin & Nadar, Emre, 2023. "Deviations from commitments: Markov decision process formulations for the role of energy storage," International Journal of Production Economics, Elsevier, vol. 255(C).
    52. Hendrik Kohrs & Hermann Mühlichen & Benjamin R. Auer & Frank Schuhmacher, 2019. "Pricing and risk of swing contracts in natural gas markets," Review of Derivatives Research, Springer, vol. 22(1), pages 77-167, April.
    53. Hahn, Warren J. & Dyer, James S., 2008. "Discrete time modeling of mean-reverting stochastic processes for real option valuation," European Journal of Operational Research, Elsevier, vol. 184(2), pages 534-548, January.
    54. Abel Cadenillas & Robert Elliott & Hong Miao & Zhenyu Wu, 2009. "Risk-Hedging in Real Estate Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 16(4), pages 265-285, December.
    55. Xavier Warin, 2012. "Hedging Swing contract on gas markets," Papers 1208.5303, arXiv.org.
    56. Edoli, Enrico & Fiorenzani, Stefano & Ravelli, Samuele & Vargiolu, Tiziano, 2013. "Modeling and valuing make-up clauses in gas swing contracts," Energy Economics, Elsevier, vol. 35(C), pages 58-73.
    57. Nicola Secomandi & Sunder Kekre, 2014. "Optimal Energy Procurement in Spot and Forward Markets," Manufacturing & Service Operations Management, INFORMS, vol. 16(2), pages 270-282, May.
    58. Nadarajah, Selvaprabu & Margot, François & Secomandi, Nicola, 2017. "Comparison of least squares Monte Carlo methods with applications to energy real options," European Journal of Operational Research, Elsevier, vol. 256(1), pages 196-204.
    59. Kourouvakalis, Stylianos, 2008. "Méthodes numériques pour la valorisation d'options swings et autres problèmes sur les matières premières," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/116 edited by Geman, Hélyette.
    60. Ross Baldick & Sergey Kolos & Stathis Tompaidis, 2006. "Interruptible Electricity Contracts from an Electricity Retailer's Point of View: Valuation and Optimal Interruption," Operations Research, INFORMS, vol. 54(4), pages 627-642, August.
    61. Hanfeld, Marc & Schlüter, Stephan, 2016. "Operating a swing option on today's gas markets: How least squares Monte Carlo works and why it is beneficial," FAU Discussion Papers in Economics 10/2016, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    62. Matt Thompson & Matt Davison & Henning Rasmussen, 2009. "Natural gas storage valuation and optimization: A real options application," Naval Research Logistics (NRL), John Wiley & Sons, vol. 56(3), pages 226-238, April.
    63. Fernandes, Gláucia & Lima Gomes, Leonardo & Teixeira Brandão, Luiz Eduardo, 2019. "Mitigating Hydrological Risk with Energy Derivatives," Energy Economics, Elsevier, vol. 81(C), pages 528-535.
    64. Angelica Gianfreda & Derek Bunn, 2018. "A Stochastic Latent Moment Model for Electricity Price Formation," BEMPS - Bozen Economics & Management Paper Series BEMPS46, Faculty of Economics and Management at the Free University of Bozen.
    65. Sripad K. Devalkar & Ravi Anupindi & Amitabh Sinha, 2011. "Integrated Optimization of Procurement, Processing, and Trade of Commodities," Operations Research, INFORMS, vol. 59(6), pages 1369-1381, December.
    66. Liu, Xiaoran & Ronn, Ehud I., 2020. "Using the binomial model for the valuation of real options in computing optimal subsidies for Chinese renewable energy investments," Energy Economics, Elsevier, vol. 87(C).
    67. Pflug, Georg C. & Broussev, Nikola, 2009. "Electricity swing options: Behavioral models and pricing," European Journal of Operational Research, Elsevier, vol. 197(3), pages 1041-1050, September.
    68. Guoming Lai & François Margot & Nicola Secomandi, 2010. "An Approximate Dynamic Programming Approach to Benchmark Practice-Based Heuristics for Natural Gas Storage Valuation," Operations Research, INFORMS, vol. 58(3), pages 564-582, June.

  12. Mihaela Manoliu & Stathis Tompaidis, 2002. "Energy futures prices: term structure models with Kalman filter estimation," Applied Mathematical Finance, Taylor & Francis Journals, vol. 9(1), pages 21-43.

    Cited by:

    1. Olivier Feron & Pierre Gruet, 2020. "Estimation of the number of factors in a multi-factorial Heath-Jarrow-Morton model in electricity markets," Working Papers hal-02880824, HAL.
    2. Paraschiv, Florentina, 2013. "Price Dynamics in Electricity Markets," Working Papers on Finance 1314, University of St. Gallen, School of Finance.
    3. Date, Paresh & Mamon, Rogemar & Tenyakov, Anton, 2013. "Filtering and forecasting commodity futures prices under an HMM framework," Energy Economics, Elsevier, vol. 40(C), pages 1001-1013.
    4. Mirantes, Andrés García & Población, Javier & Serna, Gregorio, 2013. "The stochastic seasonal behavior of energy commodity convenience yields," Energy Economics, Elsevier, vol. 40(C), pages 155-166.
    5. Ahmed Belhadjayed & Grégoire Loeper & Frédéric Abergel, 2016. "Forecasting Trends With Asset Prices," Post-Print hal-01512431, HAL.
    6. Aboura, Sofiane & Chevallier, Julien, 2014. "Volatility equicorrelation: A cross-market perspective," Economics Letters, Elsevier, vol. 122(2), pages 289-295.
    7. Back, Janis & Prokopczuk, Marcel & Rudolf, Markus, 2013. "Seasonality and the valuation of commodity options," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 273-290.
    8. Marina Resta, 2004. "Multifractal analysis of Power Markets. Some empirical evidence," Econometrics 0410002, University Library of Munich, Germany.
    9. Cartea, Álvaro & González-Pedraz, Carlos, 2010. "How much should we pay for interconnecting electricity markets? A real options approach," DEE - Working Papers. Business Economics. WB wb103206, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    10. Manuel Moreno & Alfonso Novales & Federico Platania, 2019. "Long-term swings and seasonality in energy markets," Documentos de Trabajo del ICAE 2019-29, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    11. Shao, Chengwu & Bhar, Ramaprasad & Colwell, David B., 2015. "A multi-factor model with time-varying and seasonal risk premiums for the natural gas market," Energy Economics, Elsevier, vol. 50(C), pages 207-214.
    12. Michael Ye & John Zyren & Joanne Shore & Thomas Lee, 2010. "Crude Oil Futures as an Indicator of Market Changes: A Graphical Analysis," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 16(3), pages 257-268, August.
    13. N. K. Nomikos & O. Soldatos, 2008. "Using Affine Jump Diffusion Models for Modelling and Pricing Electricity Derivatives," Applied Mathematical Finance, Taylor & Francis Journals, vol. 15(1), pages 41-71.
    14. Deschatre, Thomas & Féron, Olivier & Gruet, Pierre, 2021. "A survey of electricity spot and futures price models for risk management applications," Energy Economics, Elsevier, vol. 102(C).
    15. Secomandi, Nicola & Seppi, Duane J., 2014. "Real Options and Merchant Operations of Energy and Other Commodities," Foundations and Trends(R) in Technology, Information and Operations Management, now publishers, vol. 6(3-4), pages 161-331, July.
    16. Peilun He & Gareth W. Peters & Nino Kordzakhia & Pavel V. Shevchenko, 2024. "Multi-Factor Function-on-Function Regression of Bond Yields on WTI Commodity Futures Term Structure Dynamics," Papers 2412.05889, arXiv.org.
    17. Corinne Chaton & Laure Durand‐Viel, 2013. "Real Asset Valuation under Imperfect Competition: Can We Forget About Market Fundamentals?," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 22(1), pages 125-139, March.
    18. Mellios, Constantin & Six, Pierre & Lai, Anh Ngoc, 2016. "Dynamic speculation and hedging in commodity futures markets with a stochastic convenience yield," European Journal of Operational Research, Elsevier, vol. 250(2), pages 493-504.
    19. Nomikos, Nikos K. & Soldatos, Orestes A., 2010. "Modelling short and long-term risks in power markets: Empirical evidence from Nord Pool," Energy Policy, Elsevier, vol. 38(10), pages 5671-5683, October.
    20. Fernando Antonio Lucena Aiube & Ariel Levy, 2019. "Recent movement of oil prices and future scenarios [Movimentos recentes dos preços do petróleo e os cenários futuros]," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 29(1), pages 223-248, January-A.
    21. Nicola Secomandi & Guoming Lai & François Margot & Alan Scheller-Wolf & Duane J. Seppi, 2015. "Merchant Commodity Storage and Term-Structure Model Error," Manufacturing & Service Operations Management, INFORMS, vol. 17(3), pages 302-320, July.
    22. Francisco Bernal & Emmanuel Gobet & Jacques Printems, 2020. "Volatility Uncertainty Quantification in a Stochastic Control Problem Applied to Energy," Methodology and Computing in Applied Probability, Springer, vol. 22(1), pages 135-159, March.
    23. Suenaga, Hiroaki, 2013. "Measuring bias in a term-structure model of commodity prices through the comparison of simultaneous and sequential estimation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 53-66.
    24. Chris Brooks & Marcel Prokopczuk, 2011. "The Dynamics of Commodity Prices," ICMA Centre Discussion Papers in Finance icma-dp2011-09, Henley Business School, University of Reading.
    25. Farkas, Walter & Gourier, Elise & Huitema, Robert & Necula, Ciprian, 2017. "A two-factor cointegrated commodity price model with an application to spread option pricing," Journal of Banking & Finance, Elsevier, vol. 77(C), pages 249-268.
    26. Yanhui Chen & Kin Keung Lai, 2013. "Examination on the Relationship Between VHSI, HSI and Future Realized Volatility With Kalman Filter," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(2), pages 200-216, December.
    27. Islyaev, Suren & Date, Paresh, 2015. "Electricity futures price models: Calibration and forecasting," European Journal of Operational Research, Elsevier, vol. 247(1), pages 144-154.
    28. Owen Q. Wu & Derek D. Wang & Zhenwei Qin, 2012. "Seasonal Energy Storage Operations with Limited Flexibility: The Price-Adjusted Rolling Intrinsic Policy," Manufacturing & Service Operations Management, INFORMS, vol. 14(3), pages 455-471, July.
    29. Markus Burger & Bernhard Klar & Alfred Muller & Gero Schindlmayr, 2004. "A spot market model for pricing derivatives in electricity markets," Quantitative Finance, Taylor & Francis Journals, vol. 4(1), pages 109-122.
    30. Yassine El Qalli, 2010. "Recursive Bayesian Estimation In Forward Price Models Implied By Fair Pricing," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 301-333.
    31. Michel Culot & Valérie Goffin & Steve Lawford & Sébastien de Menten and Yves Smeers, . "Practical stochastic modeling of electricity prices," Journal of Energy Markets, Journal of Energy Markets.
    32. Nguyen, Duc Binh Benno & Prokopczuk, Marcel, 2017. "Jumps in Commodity Markets," Hannover Economic Papers (HEP) dp-615, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    33. Ohana, Steve, 2010. "Modeling global and local dependence in a pair of commodity forward curves with an application to the US natural gas and heating oil markets," Energy Economics, Elsevier, vol. 32(2), pages 373-388, March.
    34. Kovacevic, Raimund M. & Paraschiv, Florentina, 2012. "Medium-term Planning for Thermal Electricity Production," Working Papers on Finance 1220, University of St. Gallen, School of Finance.
    35. Hendrik Kohrs & Hermann Mühlichen & Benjamin R. Auer & Frank Schuhmacher, 2019. "Pricing and risk of swing contracts in natural gas markets," Review of Derivatives Research, Springer, vol. 22(1), pages 77-167, April.
    36. Patrick Jaillet & Ehud I. Ronn & Stathis Tompaidis, 2004. "Valuation of Commodity-Based Swing Options," Management Science, INFORMS, vol. 50(7), pages 909-921, July.
    37. Peilun He & Nino Kordzakhia & Gareth W. Peters & Pavel V. Shevchenko, 2024. "PDSim: A Shiny App for Polynomial Diffusion Model Simulation and Estimation," Papers 2409.19385, arXiv.org.
    38. Elliott, Robert J. & Hyndman, Cody. B., 2007. "Parameter estimation in commodity markets: A filtering approach," Journal of Economic Dynamics and Control, Elsevier, vol. 31(7), pages 2350-2373, July.
    39. Haas, Christian & Budin, Constantin & d’Arcy, Anne, 2024. "How to select oil price prediction models — The effect of statistical and financial performance metrics and sentiment scores," Energy Economics, Elsevier, vol. 133(C).
    40. Janis Back & Marcel Prokopczuk & Markus Rudolf, 2011. "Seasonal Stochastic Volatility: Implications for the Pricing of Commodity Options," ICMA Centre Discussion Papers in Finance icma-dp2011-16, Henley Business School, University of Reading.
    41. Thomas Deschatre & Olivier F'eron & Pierre Gruet, 2021. "A survey of electricity spot and futures price models for risk management applications," Papers 2103.16918, arXiv.org, revised Jul 2021.
    42. Hang Shao & Zhou Li, 2025. "The predictive effect of heterogeneous investor behavior on commodity pricing," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-12, December.
    43. Yanhui Chen & Kin Lai, 2013. "Examination on the Relationship Between VHSI, HSI and Future Realized Volatility With Kalman Filter," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 3(2), pages 200-216, December.
    44. Andrés García Mirantes & Javier Población & Gregorio Serna, 2012. "The Stochastic Seasonal Behaviour of Natural Gas Prices," European Financial Management, European Financial Management Association, vol. 18(3), pages 410-443, June.
    45. Cortazar, Gonzalo & Eterovic, Francisco, 2010. "Can oil prices help estimate commodity futures prices? The cases of copper and silver," Resources Policy, Elsevier, vol. 35(4), pages 283-291, December.
    46. Aiube, Fernando Antonio Lucena & Faquieri, Winicius Botelho, 2019. "Can Gaussian factor models of commodity prices capture the financialization phenomenon?," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    47. Oliveira, Sydnei Marssal de & Ribeiro, Celma de Oliveira & Cicogna, Maria Paula Vieira, 2018. "Uncertainty effects on production mix and on hedging decisions: The case of Brazilian ethanol and sugar," Energy Economics, Elsevier, vol. 70(C), pages 516-524.
    48. Sheng-Hung Chen & Song-Zan Chiou-Wei & Zhen Zhu, 2022. "Stochastic seasonality in commodity prices: the case of US natural gas," Empirical Economics, Springer, vol. 62(5), pages 2263-2284, May.
    49. Fedorov, Semyon & Hagspiel, Verena & Rogstad, Richard W.H. & Haseldonckx, Sophie & Haugsgjerd, Johannes H. & Rønning, Anders, 2024. "Evaluation of tieback developments for marginal oil fields with timing flexibility," Energy Economics, Elsevier, vol. 131(C).
    50. Hahn, Warren J. & DiLellio, James A. & Dyer, James S., 2018. "Risk premia in commodity price forecasts and their impact on valuation," Energy Economics, Elsevier, vol. 72(C), pages 393-403.
    51. Paschke, Raphael & Prokopczuk, Marcel, 2007. "Integrating Multiple Commodities in a Model of Stochastic Price Dynamics," MPRA Paper 5412, University Library of Munich, Germany.
    52. Hiroaki Suenaga, 2013. "A flexible model of term-structure dynamics of commodity prices: a comparative analysis with a two-factor Gaussian model," Quantitative Finance, Taylor & Francis Journals, vol. 13(4), pages 509-526, March.
    53. Michael Prange & William J. Bailey & Benoit Couët & Hugues Djikpesse & Margaret Armstrong & Alain Galli & David Wilkinson, 2008. "Valuing Future Information Under Uncertainty Using Polynomial Chaos," Decision Analysis, INFORMS, vol. 5(3), pages 140-156, September.
    54. Hahn, Warren J. & DiLellio, James A. & Dyer, James S., 2014. "What do market-calibrated stochastic processes indicate about the long-term price of crude oil?," Energy Economics, Elsevier, vol. 44(C), pages 212-221.
    55. James DiLellio, 2015. "A Kalman filter control technique in mean-variance portfolio management," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(2), pages 235-261, April.

  13. Chris Kenyon & Stathis Tompaidis, 2001. "Real Options in Leasing: The Effect of Idle Time," Operations Research, INFORMS, vol. 49(5), pages 675-689, October.

    Cited by:

    1. Ahmed Al sharif & Ruwen Qin, 2015. "Double-sided price adjustment flexibility with a preemptive right to exercise," Annals of Operations Research, Springer, vol. 226(1), pages 29-50, March.
    2. S H Martzoukos, 2009. "Real R&D options and optimal activation of two-dimensional random controls," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(6), pages 843-858, June.
    3. Golbeck, Steven & Linetsky, Vadim, 2013. "Asset financing with credit risk," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 43-59.
    4. Fernando Oliveira, 2010. "Bottom-up design of strategic options as finite automata," Computational Management Science, Springer, vol. 7(4), pages 355-375, October.
    5. N. Nesterova I. & Н. Нестерова И., 2015. "Применение Реальных Опционов В Лизинговых Проектах // Using Of Real Options In Project Financing With Leased Assets," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, issue 6, pages 179-184.
    6. Guedes, José & Santos, Pedro, 2016. "Valuing an offshore oil exploration and production project through real options analysis," Energy Economics, Elsevier, vol. 60(C), pages 377-386.
    7. Luke T. Miller, 2010. "PMA license valuation: A Bayesian learning real options approach," Review of Financial Economics, John Wiley & Sons, vol. 19(1), pages 28-37, January.
    8. Jenny Jing Wang & Jianfu Shen & Frederik Pretorius, 2023. "Valuing options to renew at future market value: the case of commercial property leases," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-35, December.
    9. Miller, Luke T., 2010. "PMA license valuation: A Bayesian learning real options approach," Review of Financial Economics, Elsevier, vol. 19(1), pages 28-37, January.
    10. Chuang-Chang Chang & Hsiao-Wei Ho & Henry Hongren Huang & Yildiray Yildirim, 2024. "A reduced-form model for lease contract valuation with embedded options," Review of Quantitative Finance and Accounting, Springer, vol. 62(2), pages 841-864, February.
    11. Kallio, Markku & Kuula, Markku & Oinonen, Sami, 2012. "Real options valuation of forest plantation investments in Brazil," European Journal of Operational Research, Elsevier, vol. 217(2), pages 428-438.

  14. Stathis Tompaidis, . "Measuring system-wide resilience of central counterparties," Journal of Financial Market Infrastructures, Journal of Financial Market Infrastructures.
    See citations under working paper version above.
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