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Ton Vorst

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Kemna, A. G. Z. & Vorst, A. C. F., 1990. "A pricing method for options based on average asset values," Journal of Banking & Finance, Elsevier, vol. 14(1), pages 113-129, March.

    Mentioned in:

    1. Asian option in Wikipedia (English)
  2. Martin Martens & Paul Kofman & Ton C. F. Vorst, 1998. "A threshold error-correction model for intraday futures and index returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(3), pages 245-263.

    Mentioned in:

    1. A threshold error‐correction model for intraday futures and index returns (Journal of Applied Econometrics 1998) in ReplicationWiki ()
    2. A threshold error-correction model for intraday futures and index returns (Journal of Applied Econometrics 1998) in ReplicationWiki ()

Working papers

  1. Patrick Houweling & Albert Mentink & Ton Vorst, 2003. "How to measure Corporate Bond Liquidity?," Tinbergen Institute Discussion Papers 03-030/2, Tinbergen Institute.

    Cited by:

    1. Brown, Alessio J. G. & Žarnić, Žiga, 2003. "Explaining the increased German credit spread: The role of supply factors," Kiel Advanced Studies Working Papers 412, Kiel Institute for the World Economy (IfW Kiel).
    2. Zheng, Harry, 2006. "Interaction of credit and liquidity risks: Modelling and valuation," Journal of Banking & Finance, Elsevier, vol. 30(2), pages 391-407, February.
    3. Didier Cossin & Hongze Lu, 2005. "Are European Corporate Bond and Default Swap Markets Segmented?," FAME Research Paper Series rp133, International Center for Financial Asset Management and Engineering.
    4. Mahanti, Sriketan & Nashikkar, Amrut & Subrahmanyam, Marti & Chacko, George & Mallik, Gaurav, 2008. "Latent liquidity: A new measure of liquidity, with an application to corporate bonds," Journal of Financial Economics, Elsevier, vol. 88(2), pages 272-298, May.
    5. Marco Rossi, 2014. "Realized Volatility, Liquidity, and Corporate Yield Spreads," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 4(01), pages 1-42.
    6. Frank de Jong & Joost Driessen, 2012. "Liquidity Risk Premia in Corporate Bond Markets," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 2(02), pages 1-34.
    7. Coluzzi, Chiara & Ginebri, Sergio & Turco, Manuel, 2008. "Measuring and Analyzing the Liquidity of the Italian Treasury Security Wholesale Secondary Market," Economics & Statistics Discussion Papers esdp08044, University of Molise, Department of Economics.
    8. Perraudin, William & Taylor, Alex P., 2004. "On the consistency of ratings and bond market yields," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2769-2788, November.

  2. Houweling, P. & Vorst, A.C.F., 2003. "Pricing default swaps: empirical evidence," Econometric Institute Research Papers EI 2003-51, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Dunbar, Kwamie & Amin, Abu S., 2012. "Credit risk dynamics in response to changes in the federal funds target: The implication for firm short-term debt," Review of Financial Economics, Elsevier, vol. 21(3), pages 141-152.
    2. Lily Y. Liu, 2017. "Estimating Loss Given Default from CDS under Weak Identification," Supervisory Research and Analysis Working Papers RPA 17-1, Federal Reserve Bank of Boston.
    3. Marat Kurbangaleev & Victor Lapshin & Sergey N. Smirnov, 2015. "Study of Consistency of Bond and CDS Quotes," HSE Working papers WP BRP 43/FE/2015, National Research University Higher School of Economics.
    4. Jan Annaert & Marc De Ceuster & Patrick Van Roy & Cristina Vespro, 2010. "What determines euro area bank CDS spreads ?," Working Paper Research 190, National Bank of Belgium.
    5. Brian BARNARD, 2017. "Rating Migration and Bond Valuation: Decomposing Rating Migration Matrices from Market Data via Default Probability Term Structures," Expert Journal of Finance, Sprint Investify, vol. 5, pages 49-72.
    6. Delatte, Anne-Laure & Gex, Mathieu & López-Villavicencio, Antonia, 2012. "Has the CDS market influenced the borrowing cost of European countries during the sovereign crisis?," Journal of International Money and Finance, Elsevier, vol. 31(3), pages 481-497.
    7. Norden, Lars, 2017. "Information in CDS spreads," Journal of Banking & Finance, Elsevier, vol. 75(C), pages 118-135.
    8. Robert N. Collender, 2008. "Enterprise Credit Default Swaps and Market Discipline – Preliminary Analysis," FHFA Staff Working Papers 08-02, Federal Housing Finance Agency.
    9. Norden, L. & Wagner, W.B., 2007. "Credit Derivatives and Loan Pricing," Other publications TiSEM eb6693d1-7ce6-485f-80cb-5, Tilburg University, School of Economics and Management.
    10. Avino, Davide & Nneji, Ogonna, 2012. "Are CDS spreads predictable? An analysis of linear and non-linear forecasting models," MPRA Paper 42848, University Library of Munich, Germany.
    11. Javed I. Ahmed & Christopher Anderson & Rebecca Zarutskie, 2015. "Are the Borrowing Costs of Large Financial Firms Unusual?," Finance and Economics Discussion Series 2015-24, Board of Governors of the Federal Reserve System (U.S.).
    12. Jan Ericsson & Kris Jacobs & Rodolfo A. Oviedo, 2004. "The Determinants of Credit Default Swap Premia," CIRANO Working Papers 2004s-55, CIRANO.
    13. Benjamin Y. Zhang & Hao Zhou & Haibin Zhu, 2005. "Explaining credit default swap spreads with the equity volatility and jump risks of individual firms," Finance and Economics Discussion Series 2005-63, Board of Governors of the Federal Reserve System (U.S.).
    14. Stephen Zamore & Kwame Ohene Djan & Ilan Alon & Bersant Hobdari, 2018. "Credit Risk Research: Review and Agenda," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(4), pages 811-835, March.
    15. Kanak Patel & Ricardo Pereira, 2008. "Pricing Property Index Linked Swaps with Counterparty Default Risk," The Journal of Real Estate Finance and Economics, Springer, vol. 36(1), pages 5-21, January.
    16. Jing-zhi Huang & Hao Zhou, 2008. "Specification analysis of structural credit risk models," Finance and Economics Discussion Series 2008-55, Board of Governors of the Federal Reserve System (U.S.).
    17. Alexander, Carol & Kaeck, Andreas, 2008. "Regime dependent determinants of credit default swap spreads," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1008-1021, June.
    18. Andres, Christian & Betzer, André & Doumet, Markus, 2021. "Measuring changes in credit risk: The case of CDS event studies," Global Finance Journal, Elsevier, vol. 49(C).
    19. Wagner, Stephan M. & Bode, Christoph & Koziol, Philipp, 2011. "Negative default dependence in supplier networks," International Journal of Production Economics, Elsevier, vol. 134(2), pages 398-406, December.
    20. Beer, Simone & Braun, Alexander, 2022. "Market-consistent valuation of natural catastrophe risk," Journal of Banking & Finance, Elsevier, vol. 134(C).
    21. Xisong Jin & Francisco Nadal De Simone, 2017. "Systemic Financial Sector and Sovereign Risks," BCL working papers 109, Central Bank of Luxembourg.
    22. Hassan, M. Kabir & Ngene, Geoffrey M. & Yu, Jung-Suk, 2015. "Credit default swaps and sovereign debt markets," Economic Systems, Elsevier, vol. 39(2), pages 240-252.
    23. Yalin Gündüz & Marliese Uhrig-Homburg, 2014. "Does modeling framework matter? A comparative study of structural and reduced-form models," Review of Derivatives Research, Springer, vol. 17(1), pages 39-78, April.
    24. Kucuk, Ugur N., 2010. "Non-default Component of Sovereign Emerging Market Yield Spreads and its Determinants: Evidence from Credit Default Swap Market," MPRA Paper 27428, University Library of Munich, Germany.
    25. Ballotta, Laura & Fusai, Gianluca & Marazzina, Daniele, 2019. "Integrated structural approach to Credit Value Adjustment," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1143-1157.
    26. Jan De Wit, 2006. "Exploring the CDS-Bond Basis," Working Paper Research 104, National Bank of Belgium.
    27. Norden, L. & Wagner, W.B., 2007. "Credit Derivatives and Loan Pricing," Discussion Paper 2007-015, Tilburg University, Tilburg Law and Economic Center.
    28. Meng, Lei & Verousis, Thanos & ap Gwilym, Owain, 2013. "A substitution effect between price clustering and size clustering in credit default swaps," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 24(C), pages 139-152.
    29. Clothilde Lesplingart & Christophe Majois & Mikael Petitjean, 2012. "Liquidity and CDS premiums on European companies around the Subprime crisis," Review of Derivatives Research, Springer, vol. 15(3), pages 257-281, October.
    30. Tang, Dragon Yongjun & Yan, Hong, 2008. "Market conditions, default risk and credit spreads," Discussion Paper Series 2: Banking and Financial Studies 2008,08, Deutsche Bundesbank.
    31. Yalin Gündüz & Torsten Lüdecke & Marliese Uhrig-Homburg, 2007. "Trading Credit Default Swaps via Interdealer Brokers," Journal of Financial Services Research, Springer;Western Finance Association, vol. 32(3), pages 141-159, December.
    32. Leppin, Julia S. & Reitz, Stefan, 2014. "The Role of a Changing Market Environment for Credit Default Swap Pricing," FinMaP-Working Papers 7, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    33. Benbouzid, Nadia & Mallick, Sushanta K. & Sousa, Ricardo M., 2017. "An international forensic perspective of the determinants of bank CDS spreads," Journal of Financial Stability, Elsevier, vol. 33(C), pages 60-70.
    34. Enrico Laghi & Michele Di Marcantonio & Eugenio D'Amico, 2014. "Estimating credit default swap spreads using accounting data, market quotes and credit ratings: the European Banks Case," FINANCIAL REPORTING, FrancoAngeli Editore, vol. 2014(2-3-4), pages 59-81.
    35. Peat, Maurice & Svec, Jiri & Wang, Jue, 2015. "The effects of fiscal opacity on sovereign credit spreads," Emerging Markets Review, Elsevier, vol. 24(C), pages 34-45.
    36. Avino, Davide & Lazar, Emese & Varotto, Simone, 2013. "Price discovery of credit spreads in tranquil and crisis periods," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 242-253.
    37. Marc Arnold & Dustin Schuette & Alexander Wagner, 2021. "Neglected Risk in Financial Innovation: Evidence from Structured Product Counterparty Exposure," European Financial Management, European Financial Management Association, vol. 27(2), pages 287-325, March.
    38. Podlich, Natalia & Wedow, Michael, 2011. "Credit contagion between financial systems," Discussion Paper Series 2: Banking and Financial Studies 2011,15, Deutsche Bundesbank.
    39. Francis A. Longstaff & Sanjay Mithal & Eric Neis, 2004. "Corporate Yield Spreads: Default Risk or Liquidity? New Evidence from the Credit-Default Swap Market," NBER Working Papers 10418, National Bureau of Economic Research, Inc.
    40. Guarin, Alexander & Liu, Xiaoquan & Ng, Wing Lon, 2014. "Recovering default risk from CDS spreads with a nonlinear filter," Journal of Economic Dynamics and Control, Elsevier, vol. 38(C), pages 87-104.
    41. Spencer, Peter, 2016. "US bank credit spreads during the financial crisis," Journal of Banking & Finance, Elsevier, vol. 71(C), pages 168-182.
    42. Hertrich, Markus, 2015. "Does Credit Risk Impact Liquidity Risk? Evidence from Credit Default Swap Markets," MPRA Paper 67837, University Library of Munich, Germany.
    43. Chan, Kam Fong & Marsden, Alastair, 2014. "Macro risk factors of credit default swap indices in a regime-switching framework," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 29(C), pages 285-308.
    44. Fabozzi, Frank J. & Cheng, Xiaolin & Chen, Ren-Raw, 2007. "Exploring the components of credit risk in credit default swaps," Finance Research Letters, Elsevier, vol. 4(1), pages 10-18, March.
    45. Benbouzid, Nadia & Kumar, Abhishek & Mallick, Sushanta K. & Sousa, Ricardo M. & Stojanovic, Aleksandar, 2022. "Bank credit risk and macro-prudential policies: role of counter-cyclical capital buffer," LSE Research Online Documents on Economics 117539, London School of Economics and Political Science, LSE Library.
    46. Becchetti, Leonardo & Carpentieri, Andrea & Hasan, Iftekhar, 2009. "The determinants of option-adjusted delta credit spreads: a comparative analysis of the United States, the United Kingdom and the euro area," Bank of Finland Research Discussion Papers 34/2009, Bank of Finland.
    47. Michael Adler & Jeong Song, 2010. "The behavior of emerging market sovereigns' credit default swap premiums and bond yield spreads," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(1), pages 31-58.
    48. Braun, Alexander, 2011. "Pricing catastrophe swaps: A contingent claims approach," Insurance: Mathematics and Economics, Elsevier, vol. 49(3), pages 520-536.
    49. Díaz, Antonio & Groba, Jonatan & Serrano, Pedro, 2013. "What drives corporate default risk premia? Evidence from the CDS market," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 529-563.
    50. Astrid Van Landschoot, 2004. "The Determinants of Credit Spreads," Financial Stability Review, National Bank of Belgium, vol. 2(1), pages 135-155, June.
    51. Hann-Shing Ju & Ren-Raw Chen & Shih-Kuo Yeh & Tung-Hsiao Yang, 2015. "Evaluation of conducting capital structure arbitrage using the multi-period extended Geske–Johnson model," Review of Quantitative Finance and Accounting, Springer, vol. 44(1), pages 89-111, January.
    52. Steven Lecce & Andrew Lepone & Michael D. McKenzie & Jin Boon Wong & Jin Y. Yang, 2018. "Short‐selling and credit default swap spreads—Where do informed traders trade?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(8), pages 925-942, August.
    53. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    54. Adam B. Ashcraft & João A. C. Santos, 2007. "Has the credit derivatives swap market lowered the cost of corporate debt?," Staff Reports 290, Federal Reserve Bank of New York.
    55. Jeimy Lorena Martínez Arroyo & Nini Johana Marín Rodríguez, 2021. "Relación dinámica entre los Credit Default Swaps y la deuda pública. Análisis en el contexto latinoamericano," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 40(83), pages 583-608, August.
    56. Kyriakos Georgiou & Athanasios N. Yannacopoulos, 2023. "Probability of Default modelling with L\'evy-driven Ornstein-Uhlenbeck processes and applications in credit risk under the IFRS 9," Papers 2309.12384, arXiv.org.
    57. Schreiber, Irene & Müller, Gernot & Klüppelberg, Claudia & Wagner, Niklas, 2012. "Equities, credits and volatilities: A multivariate analysis of the European market during the subprime crisis," International Review of Financial Analysis, Elsevier, vol. 24(C), pages 57-65.
    58. Alessandro Fontana, 2010. "The Persistent Negative Cds-Bond Basis during the 2007/08 Financial Crisis," Working Papers 2010_13, Department of Economics, University of Venice "Ca' Foscari".
    59. Badaoui, Saad & Cathcart, Lara & El-Jahel, Lina, 2013. "Do sovereign credit default swaps represent a clean measure of sovereign default risk? A factor model approach," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2392-2407.
    60. Meres, Bernardo & Almeida, Caio, 2008. "Extracting Default Probabilities from Sovereign Bonds," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 28(1), May.
    61. Tristan Darwin & Sirimon Treepongkaruna & Robert Faff, 2012. "Determinants of bond spreads: evidence from credit derivatives of Australian firms," Australian Journal of Management, Australian School of Business, vol. 37(1), pages 29-46, April.
    62. Syed Jawad Hussain Shahzad & Safwan Mohd Nor & Nur Azura Sanusi & Ronald Ravinesh Kumar, 2018. "The Determinants of Credit Risk: Analysis of US Industry-level Indices," Global Business Review, International Management Institute, vol. 19(5), pages 1152-1165, October.
    63. Virginie Coudert & Mathieu Gex, 2010. "Le règlement des défauts sur le marché des credit default swaps : le cas de Lehman Brothers," Revue d'Économie Financière, Programme National Persée, vol. 97(2), pages 15-34.
    64. Li, Nan, 2004. "The Implied Benchmark Rate in the Credit Default Swap Market of Sovereign Bonds," MPRA Paper 10014, University Library of Munich, Germany.
    65. Chalamandaris, George & Pagratis, Spyros, 2019. "Limits to arbitrage and CDS–bond dynamics around the financial crisis," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 213-235.
    66. Christopher F Baum & Chi Wan, 2009. "Macroeconomic Uncertainty and Credit Default Swap Spreads," Boston College Working Papers in Economics 724, Boston College Department of Economics, revised 03 Mar 2010.
    67. Song Han & Hao Zhou, 2011. "Effects of Liquidity on the Nondefault Component of Corporate Yield Spreads: Evidence from Intraday Transactions Data," Working Papers 022011, Hong Kong Institute for Monetary Research.
    68. Jankowitsch, Rainer & Pullirsch, Rainer & Veza, Tanja, 2008. "The delivery option in credit default swaps," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1269-1285, July.
    69. Giammarino, Flavia & Barrieu, Pauline, 2009. "A semiparametric model for the systematic factors of portfolio credit risk premia," Journal of Empirical Finance, Elsevier, vol. 16(4), pages 655-670, September.
    70. Samuel Chege Maina, 2011. "Credit Risk Modelling in Markovian HJM Term Structure Class of Models with Stochastic Volatility," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 1-2011.
    71. Völz, Manja & Wedow, Michael, 2011. "Market discipline and too-big-to-fail in the CDS market: Does banks' size reduce market discipline?," Journal of Empirical Finance, Elsevier, vol. 18(2), pages 195-210, March.
    72. Jae Young Jang & Erdal Atukeren, 2019. "Sustainable Local Currency Debt: An Analysis of Foreigners’ Korea Treasury Bonds Investments Using a LA-VARX Model," Sustainability, MDPI, vol. 11(13), pages 1-23, June.
    73. Leccadito, Arturo & Tunaru, Radu S. & Urga, Giovanni, 2015. "Trading strategies with implied forward credit default swap spreads," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 361-375.
    74. Davide Avino & Emese Lazar & Simone Varotto, 2011. "Which market drives credit spreads in tranquil and crisis periods? An analysis of the contribution to price discovery of bonds, CDS, stocks and options," ICMA Centre Discussion Papers in Finance icma-dp2011-17, Henley Business School, University of Reading.
    75. Biao Guo & Qian Han & Doojin Ryu, 2013. "The Number of State Variables for CDS Pricing," Working Papers 2013-10-14, Wang Yanan Institute for Studies in Economics (WISE), Xiamen University.
    76. Petra Buzkova & Milos Kopa, 2016. "On the Reliability of a Credit Default Swap Contract during the EMU Debt Crisis," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(6), pages 510-538, December.
    77. Belke, Ansgar & Gokus, Christian, 2011. "Volatility Patterns of CDS, Bond and Stock Markets Before and During the Financial Crisis – Evidence from Major Financial Institutions," Ruhr Economic Papers 243, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    78. Benbouzid, Nadia & Mallick, Sushanta K. & Sousa, Ricardo M., 2017. "Do country-level financial structures explain bank-level CDS spreads?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 135-145.
    79. Yihong Ma, Simon Cottrell, Sarath Delpachitra, Xiao Yu, Ping Jiang, and Quan Tran Ha Minh, 2023. "What Drives Credit Spreads of Oil Companies? Evidence from the Upstream, Integrated and Downstream Industries," The Energy Journal, International Association for Energy Economics, vol. 0(Number 5).
    80. Carol Alexander & Andreas Kaeck, 2006. "Regimes in CDS Spreads: A Markov Switching Model of iTraxx Europe Indices," ICMA Centre Discussion Papers in Finance icma-dp2006-08, Henley Business School, University of Reading.
    81. Cottrell, Simon & Yu, Xiao & Delpachitra, Sarath & Ma, Yihong, 2021. "What determines wholesale funding costs of the global systemically important banks?," Journal of Banking & Finance, Elsevier, vol. 132(C).
    82. Jorion, Philippe & Zhang, Gaiyan, 2007. "Good and bad credit contagion: Evidence from credit default swaps," Journal of Financial Economics, Elsevier, vol. 84(3), pages 860-883, June.
    83. Herbertsson, Alexander & Rootzén, Holger, 2007. "Pricing k-th-to-default Swaps under Default Contagion: The Matrix-Analytic Approach," Working Papers in Economics 269, University of Gothenburg, Department of Economics.
    84. Völz, Manja & Wedow, Michael, 2009. "Does banks size distort market prices? Evidence for too-big-to-fail in the CDS market," Discussion Paper Series 2: Banking and Financial Studies 2009,06, Deutsche Bundesbank.
    85. Brian BARNARD, 2018. "Rating Migration and Bond Valuation: Ahistorical Interest Rate and Default Probability Term Structures," Expert Journal of Finance, Sprint Investify, vol. 6(1), pages 16-30.
    86. Wagner, Stephan M. & Bode, Christoph & Koziol, Philipp, 2009. "Supplier default dependencies: Empirical evidence from the automotive industry," European Journal of Operational Research, Elsevier, vol. 199(1), pages 150-161, November.
    87. Kwamie Dunbar, 2008. "US corporate default swap valuation: the market liquidity hypothesis and autonomous credit risk," Quantitative Finance, Taylor & Francis Journals, vol. 8(3), pages 321-334.
    88. Brian BARNARD, 2017. "Rating Migration and Bond Valuation: Decomposing Rating Migration Matrices from Market Data via Default Probability Term Structures," Expert Journal of Finance, Sprint Investify, vol. 5(1), pages 49-72.
    89. Victor Lapshin & Marat Kurbangaleev, 2013. "A joint non-parametric approach to the decomposition of bond yields and CDS spreads: application of Eurozone market data," HSE Working papers WP BRP 13/FE/2013, National Research University Higher School of Economics.
    90. Kim, Kwanho, 2017. "Liquidity basis between credit default swaps and corporate bonds markets," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 98-115.
    91. Elisa Di Febo & Eliana Angelini, 2018. "The Relevance of Market Variables in the CDS Spread Volatility: An Empirical Post-crisis Analysis," Global Business Review, International Management Institute, vol. 19(6), pages 1462-1477, December.
    92. Carolyne Spackman & Mr. Manmohan Singh, 2009. "The Use (and Abuse) of CDS Spreads During Distress," IMF Working Papers 2009/062, International Monetary Fund.
    93. Jae Young Jang & Min Jae Park, 2019. "A Study on Global Investors’ Criteria for Investment in the Local Currency Bond Markets Using AHP Methods: The Case of the Republic of Korea," Risks, MDPI, vol. 7(4), pages 1-20, October.
    94. Podlich, Natalia & Wedow, Michael, 2014. "Crossborder financial contagion to Germany: How important are OTC dealers?," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 1-9.
    95. Benbouzid, Nadia & Mallick, Sushanta, 2013. "Determinants of bank credit default swap spreads: The role of the housing sector," The North American Journal of Economics and Finance, Elsevier, vol. 24(C), pages 243-259.
    96. Haibin Zhu, 2006. "An Empirical Comparison of Credit Spreads between the Bond Market and the Credit Default Swap Market," Journal of Financial Services Research, Springer;Western Finance Association, vol. 29(3), pages 211-235, June.
    97. Peña, Juan Ignacio & Forte, Santiago, 2006. "Credit spreads: theory and evidence about the information content of stocks, bonds and cdss," DEE - Working Papers. Business Economics. WB wb063310, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    98. Arnold, Marc & Schuette, Dustin & Wagner, Alexander, 2014. "Neglected Risk: Evidence from Structured Product Counterparty Exposure," Working Papers on Finance 1406, University of St. Gallen, School of Finance, revised Apr 2016.
    99. Rosella Castellano & Luisa Scaccia, 2014. "Can CDS indexes signal future turmoils in the stock market? A Markov switching perspective," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(2), pages 285-305, June.
    100. Rubia, Antonio & Sanchis-Marco, Lidia & Serrano, Pedro, 2016. "Market frictions and the pricing of sovereign credit default swaps," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 223-252.
    101. Giovanni Palmerio, 2009. "Some Thoughts on Financial Innovation and Financial Crises," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 11(26), pages 522-532, June.
    102. Lars Norden & Martin Weber, 2009. "The Co†movement of Credit Default Swap, Bond and Stock Markets: an Empirical Analysis," European Financial Management, European Financial Management Association, vol. 15(3), pages 529-562, June.
    103. Nadal De Simone, Francisco, 2021. "Measuring the deadly embrace: Systemic and sovereign risks," Research in International Business and Finance, Elsevier, vol. 56(C).

  3. Houweling, P. & Mentink, A.A. & Vorst, A.C.F., 2003. "Valuing Euro rating-triggered step-up telecom bonds," Econometric Institute Research Papers EI 2003-50, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Myklebust, Tor Åge, 2012. "Performance Sensitive Debt - Investment and Financing Incentives," Discussion Papers 2012/7, Norwegian School of Economics, Department of Business and Management Science.
    2. Koziol, Christian & Lawrenz, Jochen, 2010. "Optimal design of rating-trigger step-up bonds: Agency conflicts versus asymmetric information," Journal of Corporate Finance, Elsevier, vol. 16(2), pages 182-204, April.
    3. Manso, Gustavo, 2013. "Feedback effects of credit ratings," Journal of Financial Economics, Elsevier, vol. 109(2), pages 535-548.

  4. Houweling, P. & Mentink, A.A. & Vorst, A.C.F., 2003. "Comparing possible proxies of corporate bond liquidity," Econometric Institute Research Papers EI 2003-49, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Thomas Chiang & Jiandong Li & Sheng-Yung Yang, 2015. "Dynamic stock–bond return correlations and financial market uncertainty," Review of Quantitative Finance and Accounting, Springer, vol. 45(1), pages 59-88, July.
    2. Marielle de Jong & Lauren Stagnol, 2016. "A fundamental bond index including solvency criteria," Post-Print hal-01410662, HAL.
    3. Miles Livingston & Jie (Diana) Wei & Lei Zhou, 2010. "Moody's and S&P Ratings: Are They Equivalent? Conservative Ratings and Split Rated Bond Yields," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(7), pages 1267-1293, October.
    4. Han-Hsing Lee, 2020. "Distress risk, product market competition, and corporate bond yield spreads," Review of Quantitative Finance and Accounting, Springer, vol. 55(3), pages 1093-1135, October.
    5. Lauren Stagnol, 2015. "Designing a corporate bond index on solvency criteria," Working Papers hal-04141378, HAL.
    6. Brian BARNARD, 2017. "Rating Migration and Bond Valuation: Decomposing Rating Migration Matrices from Market Data via Default Probability Term Structures," Expert Journal of Finance, Sprint Investify, vol. 5, pages 49-72.
    7. Anthony, John & Docherty, Paul & Lee, Doowon & Shamsuddin, Abul, 2017. "Liquidity commonality in the secondary corporate loan market," Economics Letters, Elsevier, vol. 161(C), pages 10-14.
    8. Götze, Tobias & Gürtler, Marc, 2020. "Hard markets, hard times: On the inefficiency of the CAT bond market," Journal of Corporate Finance, Elsevier, vol. 62(C).
    9. Mann, Steven V. & Powers, Eric A., 2007. "Determinants of bond tender premiums and the percentage tendered," Journal of Banking & Finance, Elsevier, vol. 31(3), pages 547-566, March.
    10. De Santis, Roberto A., 2016. "Credit spreads, economic activity and fragmentation," Working Paper Series 1930, European Central Bank.
    11. O’Sullivan, Conall & Papavassiliou, Vassilios G., 2020. "On the term structure of liquidity in the European sovereign bond market," Journal of Banking & Finance, Elsevier, vol. 114(C).
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  5. Patrick Houweling & Albert Mentink & Ton Vorst, 2002. "Is Liquidity Reflected in Bond Yields? Evidence from the Euro Corporate Bond Market," Finance 0206001, University Library of Munich, Germany.

    Cited by:

    1. van Landschoot, A., 2003. "The Term Structure of Credit Spreads on Euro Corporate Bonds," Discussion Paper 2003-046, Tilburg University, Center for Economic Research.
    2. van Landschoot, A., 2003. "The Term Structure of Credit Spreads on Euro Corporate Bonds," Other publications TiSEM f5164bb2-6597-48c4-8b44-d, Tilburg University, School of Economics and Management.
    3. Jacoby, Gady & Shiller, Ilona, 2005. "Bond elasticity under liquidation risk," Research in International Business and Finance, Elsevier, vol. 19(3), pages 351-364, September.
    4. Roger WALDER, 2002. "Interactions Between Market and Credit Risk: Modeling the Joint Dynamics of Default-Free and Defaultable Bond Term Structures," FAME Research Paper Series rp56, International Center for Financial Asset Management and Engineering.
    5. Diaz, Antonio & Merrick, John Jr. & Navarro, Eliseo, 2006. "Spanish Treasury bond market liquidity and volatility pre- and post-European Monetary Union," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1309-1332, April.
    6. Yu, Fan, 2005. "Accounting transparency and the term structure of credit spreads," Journal of Financial Economics, Elsevier, vol. 75(1), pages 53-84, January.

  6. Patrick Houweling & Ton Vorst, 2001. "An Empirical Comparison of Default Swap Pricing Models," Finance 0112003, University Library of Munich, Germany.

    Cited by:

    1. Jaewon Choi & Or Shachar, 2013. "Did liquidity providers become liquidity seekers?," Staff Reports 650, Federal Reserve Bank of New York.
    2. Marat Kurbangaleev & Victor Lapshin & Sergey N. Smirnov, 2015. "Study of Consistency of Bond and CDS Quotes," HSE Working papers WP BRP 43/FE/2015, National Research University Higher School of Economics.
    3. Martin Scheicher, 2003. "Credit Derivatives - Overview and Implications for Monetary Policy and Financial Stability," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 5, pages 96-111.
    4. John Kiff & François-Louis Michaud & Janet Mitchell, 2003. "An Analytical Review of Credit Risk Transfer Instruments," Financial Stability Review, National Bank of Belgium, vol. 1(1), pages 125-150, June.
    5. Frank X. Zhang, 2003. "What did the credit market expect of Argentina default? Evidence from default swap data," Finance and Economics Discussion Series 2003-25, Board of Governors of the Federal Reserve System (U.S.).
    6. Hull, John & Predescu, Mirela & White, Alan, 2004. "The relationship between credit default swap spreads, bond yields, and credit rating announcements," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2789-2811, November.
    7. da Silva, Paulo Pereira & Rebelo, Paulo Tomaz & Afonso, Cristina, 2013. "Tail dependence of financial stocks and CDS markets: Evidence using copula methods and simulation-based inference," Economics Discussion Papers 2013-52, Kiel Institute for the World Economy (IfW Kiel).
    8. Calice, Giovanni & Ioannidis, Christos, 2012. "An empirical analysis of the impact of the credit default swap index market on large complex financial institutions," International Review of Financial Analysis, Elsevier, vol. 25(C), pages 117-130.
    9. Clemens Kool, 2006. "Financial Stability in European Banking: The Role of Common Factors," Open Economies Review, Springer, vol. 17(4), pages 525-540, December.
    10. Haibin Zhu, 2004. "An empirical comparison of credit spreads between the bond market and the credit default swap market," BIS Working Papers 160, Bank for International Settlements.
    11. Nicholas Apergis & Emmanuel Mamatzakis, 2014. "What are the driving factors behind the rise of spreads and CDS of euro-area sovereign bonds? A FAVAR model for Greece and Ireland," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 7(1), pages 104-120.
    12. Linda Allen & Anthony Saunders, 2004. "Incorporating Systemic Influences Into Risk Measurements: A Survey of the Literature," Journal of Financial Services Research, Springer;Western Finance Association, vol. 26(2), pages 161-191, October.
    13. Gori, Filippo, 2018. "Dissecting the ‘doom loop’: the bank-sovereign credit risk nexus during the US debt ceiling crisis," MPRA Paper 87994, University Library of Munich, Germany.
    14. Hoi Wong & Tsz Wong, 2007. "Reduced-form Models with Regime Switching: An Empirical Analysis for Corporate Bonds," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 14(3), pages 229-253, September.
    15. Didier Cossin & Hongze Lu, 2005. "Are European Corporate Bond and Default Swap Markets Segmented?," FAME Research Paper Series rp133, International Center for Financial Asset Management and Engineering.
    16. Abel Elizalde, 2006. "Credit Risk Models I: Default Correlation in Intensity Models," Working Papers wp2006_0605, CEMFI.
    17. Lekkos, Ilias, 2007. "Modelling multiple term structures of defaultable bonds with common and idiosyncratic state variables," Journal of Empirical Finance, Elsevier, vol. 14(5), pages 783-817, December.
    18. Norden, Lars & Weber, Martin, 2004. "Informational efficiency of credit default swap and stock markets: The impact of credit rating announcements," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2813-2843, November.
    19. Weber, Martin & Norden, Lars, 2004. "The Comovement of Credit Default Swap, Bond and Stock Markets: An Empirical Analysis," CEPR Discussion Papers 4674, C.E.P.R. Discussion Papers.
    20. Roberto Blanco & Simon Brennan & Ian W. Marsh, 2004. "An empirical analysis of the dynamic relationship between investment grade bonds and credit default swaps," Working Papers 0401, Banco de España.
    21. Didier Cossin & Tomas Hricko & Daniel Aunon-Nerin & Zhijiang Huang, 2002. "Exploring for the Determinants of Credit Risk in Credit Default Swap Transaction Data: Is Fixed-Income Markets’ Information Suffcient to Evaluate Credit Risk?," FAME Research Paper Series rp65, International Center for Financial Asset Management and Engineering.
    22. Linda Allen & Anthony Saunders, 2003. "A survey of cyclical effects in credit risk measurement model," BIS Working Papers 126, Bank for International Settlements.
    23. Benbouzid, Nadia & Mallick, Sushanta & Pilbeam, Keith, 2018. "The housing market and the credit default swap premium in the UK banking sector: A VAR approach," Research in International Business and Finance, Elsevier, vol. 44(C), pages 1-15.

  7. Roy Kouwenberg & Jacek Gondzio & Ton Vorst, 1999. "Hedging Options under Transaction Costs and Stochastic Volatility," Computing in Economics and Finance 1999 911, Society for Computational Economics.

    Cited by:

    1. Yu, Xiao-Jian & Wang, Zi-Ling & Xiao, Wei-Lin, 2020. "Is the nonlinear hedge of options more effective?—Evidence from the SSE 50 ETF options in China," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    2. Christian Pape & Oliver Woll & Christoph Weber, "undated". "Estimating the value of flexibility from real options: On the accuracy of hybrid electricity price models," EWL Working Papers 1804, University of Duisburg-Essen, Chair for Management Science and Energy Economics.
    3. Blomvall, Jörgen & Hagenbjörk, Johan, 2022. "Reducing transaction costs for interest rate risk hedging with stochastic programming," European Journal of Operational Research, Elsevier, vol. 302(3), pages 1282-1293.
    4. Barletta, Andrea & Santucci de Magistris, Paolo & Sloth, David, 2019. "It only takes a few moments to hedge options," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 251-269.
    5. Pieter Klaassen, 2002. "Comment on "Generating Scenario Trees for Multistage Decision Problems"," Management Science, INFORMS, vol. 48(11), pages 1512-1516, November.
    6. C. Atkinson & S. Kazantzaki, 2009. "Double knock-out Asian barrier options which widen or contract as they approach maturity," Quantitative Finance, Taylor & Francis Journals, vol. 9(3), pages 329-340.
    7. Libo Yin & Liyan Han, 2020. "International Assets Allocation with Risk Management via Multi-Stage Stochastic Programming," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 383-405, February.
    8. Mathias Barkhagen & Jörgen Blomvall, 2016. "Modeling and evaluation of the option book hedging problem using stochastic programming," Quantitative Finance, Taylor & Francis Journals, vol. 16(2), pages 259-273, February.
    9. Alet Roux, 2007. "The fundamental theorem of asset pricing under proportional transaction costs," Papers 0710.2758, arXiv.org.
    10. Fahlenbrach, Rüdiger & Sandås, Patrik, 2009. "Co-movements of index options and futures quotes," Journal of Empirical Finance, Elsevier, vol. 16(1), pages 151-163, January.
    11. Johannes Siven & Rolf Poulsen, 2009. "Auto-static for the people: risk-minimizing hedges of barrier options," Review of Derivatives Research, Springer, vol. 12(3), pages 193-211, October.
    12. Barro, Diana & Consigli, Giorgio & Varun, Vivek, 2022. "A stochastic programming model for dynamic portfolio management with financial derivatives," Journal of Banking & Finance, Elsevier, vol. 140(C).
    13. Blomvall, Jorgen & Lindberg, Per Olov, 2003. "Back-testing the performance of an actively managed option portfolio at the Swedish Stock Market, 1990-1999," Journal of Economic Dynamics and Control, Elsevier, vol. 27(6), pages 1099-1112, April.

  8. Bert Menkveld & Ton Vorst, 1998. "A Pricing Model for American Options with Stochastic Interest Rates," Tinbergen Institute Discussion Papers 98-028/2, Tinbergen Institute.

    Cited by:

    1. Huang, Haishi, 2010. "Convertible Bonds: Risks and Optimal Strategies," Bonn Econ Discussion Papers 07/2010, University of Bonn, Bonn Graduate School of Economics (BGSE).

  9. Martens, M. & Kofman, P. & Vorst, T.C.F., 1995. "A Threshold Error Correction Model for Intraday Futures and Index Returns," Monash Econometrics and Business Statistics Working Papers 14/95, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Henker, Thomas & Martens, Martin, 2005. "Index futures arbitrage before and after the introduction of sixteenths on the NYSE," Journal of Empirical Finance, Elsevier, vol. 12(3), pages 353-373, June.
    2. Ming‐Yuan Leon Li, 2009. "The dynamics of the relationship between spot and futures markets under high and low variance regimes," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 25(6), pages 696-718, November.
    3. Ters, Kristyna & Urban, Jörg, 2020. "Estimating unknown arbitrage costs: Evidence from a 3-regime threshold vector error correction model," Journal of Financial Markets, Elsevier, vol. 47(C).
    4. Erik Theissen, 2012. "Price discovery in spot and futures markets: a reconsideration," The European Journal of Finance, Taylor & Francis Journals, vol. 18(10), pages 969-987, November.
    5. Yu-Lun Chen, 2020. "News announcements and price discovery in the RMB–USD market," Review of Quantitative Finance and Accounting, Springer, vol. 54(4), pages 1487-1508, May.
    6. Stephen Norman, 2016. "Attractor misspecification and threshold estimation bias," Economics Bulletin, AccessEcon, vol. 36(4), pages 1911-1921.
    7. Kirstin Hubrich & Timo Teräsvirta, 2013. "Thresholds and Smooth Transitions in Vector Autoregressive Models," CREATES Research Papers 2013-18, Department of Economics and Business Economics, Aarhus University.
    8. Massimo Guidolin & Stuart Hyde & David McMillan & Sadayuki Ono, 2010. "Does the macroeconomy predict U.K. asset returns in a nonlinear fashion? comprehensive out-of-sample evidence," Working Papers 2010-039, Federal Reserve Bank of St. Louis.
    9. David McMillan, 2004. "Non-linear predictability of UK stock market returns," Money Macro and Finance (MMF) Research Group Conference 2003 63, Money Macro and Finance Research Group.
    10. Kumar, Umesh & Tse, Yiuman, 2009. "Single-stock futures: Evidence from the Indian securities market," Global Finance Journal, Elsevier, vol. 20(3), pages 220-234.
    11. Douglas, Christopher C., 2010. "Do gasoline prices exhibit asymmetry? Not usually!," Energy Economics, Elsevier, vol. 32(4), pages 918-925, July.
    12. Garrett Ian & Taylor Nicholas, 2001. "Intraday and Interday Basis Dynamics: Evidence from the FTSE 100 Index Futures Market," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 5(2), pages 1-22, July.
    13. Clements, Michael P. & Galvao, Ana Beatriz, 2004. "A comparison of tests of nonlinear cointegration with application to the predictability of US interest rates using the term structure," International Journal of Forecasting, Elsevier, vol. 20(2), pages 219-236.
    14. LeBaron, Blake, 2003. "Non-Linear Time Series Models in Empirical Finance,: Philip Hans Franses and Dick van Dijk, Cambridge University Press, Cambridge, 2000, 296 pp., Paperback, ISBN 0-521-77965-0, $33, [UK pound]22.95, [," International Journal of Forecasting, Elsevier, vol. 19(4), pages 751-752.
    15. Zhang, Qi & Cai, Charlie X. & Keasey, Kevin, 2013. "Market reaction to earnings news: A unified test of information risk and transaction costs," Journal of Accounting and Economics, Elsevier, vol. 56(2), pages 251-266.
    16. Nick Taylor & Dick van Dijk & Philip Hans Franses & André Lucas, 1999. "SETS, Arbitrage Activity, and Stock Price Dynamics," Tinbergen Institute Discussion Papers 99-003/4, Tinbergen Institute.
    17. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521770415.
    18. Robles-Fernandez M. Dolores & Nieto Luisa & Fernandez M. Angeles, 2004. "Nonlinear Intraday Dynamics in Eurostoxx50 Index Markets," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(4), pages 1-28, December.
    19. Boumediene Souiki & Françoise Seyte, 2024. "Liquidity on Eurozone stock markets: A non-linear approach," Economics Bulletin, AccessEcon, vol. 44(1), pages 321-340.
    20. Mustapha Baghli, 2004. "Modelling the FF/MM rate by threshold cointegration analysis," Applied Economics, Taylor & Francis Journals, vol. 36(6), pages 533-548.
    21. David G. McMillan, 2003. "Non‐linear Predictability of UK Stock Market Returns," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(5), pages 557-573, December.
    22. Mélika Ben Salem & Corinne Perraudin, 2001. "Tests de linéarité, spécification et estimation de modèles à seuil : une analyse comparée des méthodes de Tsay et de Hansen," Post-Print hal-04176271, HAL.
    23. Nidhi Aggarwal & Sanchit Arora & Rajeswari Sengupta, 2021. "Capital account liberalisation in a large emerging economy: An Analysis of onshore-offshore arbitrage," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2021-013, Indira Gandhi Institute of Development Research, Mumbai, India.
    24. McMillan, David G., 2005. "Smooth-transition error-correction in exchange rates," The North American Journal of Economics and Finance, Elsevier, vol. 16(2), pages 217-232, August.
    25. Charlie X. Cai & Robert Faff & Yongcheol Shin, 2018. "Noise Momentum Around the World," Abacus, Accounting Foundation, University of Sydney, vol. 54(1), pages 79-104, March.
    26. Massimo Guidolin & Stuart Hyde & David McMillan & Sadayuki Ono, 2009. "Non-linear predictability in stock and bond returns: when and where is it exploitable?," Working Papers 2008-010, Federal Reserve Bank of St. Louis.
    27. Yiu‐Kuen Tse & Wai‐Sum Chan, 2010. "The Lead–Lag Relation Between The S&P500 Spot And Futures Markets: An Intraday‐Data Analysis Using A Threshold Regression Model," The Japanese Economic Review, Japanese Economic Association, vol. 61(1), pages 133-144, March.
    28. Huber, Florian & Zörner, Thomas O., 2019. "Threshold cointegration in international exchange rates:A Bayesian approach," International Journal of Forecasting, Elsevier, vol. 35(2), pages 458-473.
    29. Kuck, Konstantin & Schweikert, Karsten, 2023. "Price discovery in equity markets: A state-dependent analysis of spot and futures markets," Journal of Banking & Finance, Elsevier, vol. 149(C).
    30. Adrian Cantemir Calin & Tiberiu Diaconescu & Oana – Cristina Popovici, 2014. "Nonlinear Models for Economic Forecasting Applications: An Evolutionary Discussion," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 2(1), pages 42-47, June.
    31. Kaul, Aditya & Mehrotra, Vikas, 2007. "The role of trades in price convergence: A study of dual-listed Canadian stocks," Journal of Empirical Finance, Elsevier, vol. 14(2), pages 196-219, March.
    32. Mélika Ben Salem & Corinne Perraudin, 2001. "Tests de linéarité, spécification et estimation de modèles à seuil : une analyse comparée des méthodes de Tsay et de Hansen," Économie et Prévision, Programme National Persée, vol. 148(2), pages 157-176.
    33. Nicholas Taylor, 2004. "A New Econometric Model Of Index Arbitrage," Royal Economic Society Annual Conference 2004 69, Royal Economic Society.
    34. Mendonca, Gui Pedro, 2008. "Structural Breaks, Regime Change and Asymmetric Adjustment: A Short and Long Run Global Approach to the Output/Unemployment Dynamics," MPRA Paper 14648, University Library of Munich, Germany.
    35. Canto, Bea & Kräussl, Roman, 2007. "Electronic trading systems and intraday non-linear dynamics: An examination of the FTSE 100 cash and futures returns," CFS Working Paper Series 2007/20, Center for Financial Studies (CFS).
    36. David G. McMillan, 2004. "Non‐Linear Error Correction: Evidence for UK Interest Rates," Manchester School, University of Manchester, vol. 72(5), pages 626-640, September.
    37. David G. McMillan, 2009. "Non-linear interest rate dynamics and forecasting: evidence for US and Australian interest rates," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 14(2), pages 139-155.
    38. Taylor, Nicholas, 2004. "Trading intensity, volatility, and arbitrage activity," Journal of Banking & Finance, Elsevier, vol. 28(5), pages 1137-1162, May.
    39. Zeynep Senyuz & Emre Yoldas, 2015. "Financial Stress and Equilibrium Dynamics in Money Markets," Finance and Economics Discussion Series 2015-91, Board of Governors of the Federal Reserve System (U.S.).
    40. Li, Ming-Yuan Leon, 2008. "Clarifying the dynamics of the relationship between option and stock markets using the threshold vector error correction model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 511-520.
    41. Ming-Yuan Leon Li, 2009. "Nonlinear interrelations between ADRs and their underlying stocks revisited: application of threshold VECM," Applied Economics Letters, Taylor & Francis Journals, vol. 16(18), pages 1867-1873.
    42. Tse, Yiuman, 2001. "Index arbitrage with heterogeneous investors: A smooth transition error correction analysis," Journal of Banking & Finance, Elsevier, vol. 25(10), pages 1829-1855, October.
    43. P. Sakthivel & Krishna Reddy Chittedi & Daniel Sakyi, 2017. "Price Discovery and Volatility Transmission in Currency Spot and Futures Markets in India: An Empirical Analysis," Global Business Review, International Management Institute, vol. 20(4), pages 931-945, August.
    44. Coakley, Jerry & Fuertes, Ana-Maria, 2006. "Testing for sign and amplitude asymmetries using threshold autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 30(4), pages 623-654, April.
    45. Nidhi Aggarwal & Sanchit Arora & Rajeswari Sengupta, 2022. "Capital account openness in India and a comparison with China: Then versus now," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2022-005, Indira Gandhi Institute of Development Research, Mumbai, India.
    46. Jürgen Gaul & Erik Theissen, 2015. "A Partially Linear Approach to Modeling the Dynamics of Spot and Futures Prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(4), pages 371-384, April.
    47. Heather M. Anderson & Farshid Vahid, 2001. "Market Architecture and Nonlinear Dynamics of Australian Stock and Futures Indices," Australian Economic Papers, Wiley Blackwell, vol. 40(4), pages 541-566, December.
    48. Root, Thomas H. & Lien, Donald, 2003. "Can modeling the natural gas futures market as a threshold cointegrated system improve hedging and forecasting performance?," International Review of Financial Analysis, Elsevier, vol. 12(2), pages 117-133.
    49. Goodwin, Barry K. & Grennes, Thomas J. & Craig, Lee A., 2002. "Mechanical Refrigeration and the Integration of Perishable Commodity Markets," Explorations in Economic History, Elsevier, vol. 39(2), pages 154-182, April.
    50. Kim, Bong-Han & Chun, Sun-Eae & Min, Hong-Ghi, 2010. "Nonlinear dynamics in arbitrage of the S&P 500 index and futures: A threshold error-correction model," Economic Modelling, Elsevier, vol. 27(2), pages 566-573, March.
    51. Yoldas, Emre & Senyuz, Zeynep, 2018. "Financial stress and equilibrium dynamics in term interbank funding markets," Journal of Financial Stability, Elsevier, vol. 34(C), pages 136-149.
    52. Ming-Yuan Leon Li & Chun-Nan Chen, 2010. "Examining the interrelation dynamics between option and stock markets using the Markov-switching vector error correction model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(7), pages 1173-1191.
    53. Roeger, Edward & Leibtag, Ephraim S., 2011. "How Retail Beef and Bread Prices Respond to Changes in Ingredient and Input and Costs," Economic Research Report 102757, United States Department of Agriculture, Economic Research Service.
    54. Nektarios Aslanidis & George Kouretas, 2003. "Testing for two-regime threshold cointegration in the parallel and official markets for foreign currency in Greece," Working Papers 0311, University of Crete, Department of Economics.
    55. Ikram Jebabli & David Roubaud, 2018. "Time-varying efficiency in food and energy markets: Evidence and implications," Post-Print hal-02330557, HAL.
    56. Angela J. Black & David G. McMillan, 2004. "Non‐linear Predictability of Value and Growth Stocks and Economic Activity," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(3‐4), pages 439-474, April.
    57. McKenzie, Andrew M. & Pede, Valerien O., 2005. "Integration In Benin Maize Market: An Application Of Threshold Cointegration Analysis," 2005 Annual meeting, July 24-27, Providence, RI 19293, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    58. Shively, Philip A., 2003. "The nonlinear dynamics of stock prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 43(3), pages 505-517.
    59. Hansen, Bruce E. & Seo, Byeongseon, 2002. "Testing for two-regime threshold cointegration in vector error-correction models," Journal of Econometrics, Elsevier, vol. 110(2), pages 293-318, October.
    60. McMillan, David G., 2007. "Non-linear forecasting of stock returns: Does volume help?," International Journal of Forecasting, Elsevier, vol. 23(1), pages 115-126.
    61. Sahin, Afsin, 2013. "Estimating Money Demand Function by a Smooth Transition Regression Model: An Evidence for Turkey," MPRA Paper 46851, University Library of Munich, Germany.
    62. Andreas Röthig, 2009. "Microeconomic Risk Management and Macroeconomic Stability," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-642-01565-6, October.
    63. David G. McMillan, 2005. "Non‐linear dynamics in international stock market returns," Review of Financial Economics, John Wiley & Sons, vol. 14(1), pages 81-91.
    64. Lee, Jaeram & Kang, Jangkoo & Ryu, Doojin, 2015. "Common deviation and regime-dependent dynamics in the index derivatives markets," Pacific-Basin Finance Journal, Elsevier, vol. 33(C), pages 1-22.
    65. Ayşen ARAÇ, 2015. "Nonlinear Dynamics in Term Structure of Interest Rates: Evidence from the Euro Area," Sosyoekonomi Journal, Sosyoekonomi Society, issue 23(26).
    66. McMillan, David G., 2005. "Non-linear dynamics in international stock market returns," Review of Financial Economics, Elsevier, vol. 14(1), pages 81-91.
    67. Clements, Michael P. & Galvão, Ana Beatriz C., 2003. "Testing The Expectations Theory Of The Term Structure Of Interest Rates In Threshold Models," Macroeconomic Dynamics, Cambridge University Press, vol. 7(4), pages 567-585, September.
    68. Xiaojie Xu, 2018. "Intraday price information flows between the CSI300 and futures market: an application of wavelet analysis," Empirical Economics, Springer, vol. 54(3), pages 1267-1295, May.

  10. Kalb, G.R.J. & Kofman, P. & Vorst, T.C.F., 1995. "Mixtures of Tails in Clustered Automobile Claims," Monash Econometrics and Business Statistics Working Papers 11/95, Monash University, Department of Econometrics and Business Statistics.

    Cited by:

    1. Bolance, Catalina & Guillen, Montserrat & Perch Nielsen, Jens, 2000. "Kernel Density Estimation of Actuarial Loss Functions," Finance Working Papers 00-4, University of Aarhus, Aarhus School of Business, Department of Business Studies.

  11. Vorst, A. C. F., 1984. "Optimal Housing Maintenance Under Uncertainty," Econometric Institute Archives 272286, Erasmus University Rotterdam.

    Cited by:

    1. Thomas M. Springer & Neil G. Waller, 1996. "Maintenance of Residential Rental Property: An Empirical Analysis," Journal of Real Estate Research, American Real Estate Society, vol. 12(1), pages 89-100.
    2. J.R. Miron, 1990. "Security of Tenure, Costly Tenants and Rent Regulation," Urban Studies, Urban Studies Journal Limited, vol. 27(2), pages 167-183, April.
    3. Dubin, Robin A., 1998. "Maintenance Decisions of Absentee Landlords under Uncertainty," Journal of Housing Economics, Elsevier, vol. 7(2), pages 144-164, June.
    4. Harding, John P. & Miceli, Thomas J. & Sirmans, C. F., 2000. "Deficiency Judgments and Borrower Maintenance: Theory and Evidence," Journal of Housing Economics, Elsevier, vol. 9(4), pages 267-285, December.
    5. John L. Glascock & C. F. Sirmans & Geoffrey K. Turnbull, 1993. "Owner Tenancy as Credible Commitment under Uncertainty," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 21(1), pages 69-82, March.

  12. Kaashoek, J. F. & Vorst, A. C. F., 1983. "The Cusp Catastrophe In The Urban Retail Model," Econometric Institute Archives 272276, Erasmus University Rotterdam.

    Cited by:

    1. R Crouchley, 1987. "An Examination of the Equivalence of Three Alternative Mechanisms for Establishing the Equilibrium Solutions of the Production-Constrained Spatial Interaction Model," Environment and Planning A, , vol. 19(7), pages 861-874, July.
    2. P Nijkamp & A Reggiani, 1988. "Dynamic Spatial Interaction Models: New Directions," Environment and Planning A, , vol. 20(11), pages 1449-1460, November.

  13. Vorst, A. C. F., 1980. "The General Linear Group Of Polynomial Rings Over Regular Rings," Econometric Institute Archives 272201, Erasmus University Rotterdam.

    Cited by:

    1. Telgen, J., 1980. "The Complexity Of The Constrained Gradient Method For Linear Programming," Econometric Institute Archives 272204, Erasmus University Rotterdam.
    2. Lenstra, J. K. & Rinnooy Kan, A. H. G., 1980. "A Recursive Approach To The Implementation Of Enumerative Methods," Econometric Institute Archives 272202, Erasmus University Rotterdam.

Articles

  1. Houweling, Patrick & Mentink, Albert & Vorst, Ton, 2005. "Comparing possible proxies of corporate bond liquidity," Journal of Banking & Finance, Elsevier, vol. 29(6), pages 1331-1358, June.
    See citations under working paper version above.
  2. Houweling, Patrick & Vorst, Ton, 2005. "Pricing default swaps: Empirical evidence," Journal of International Money and Finance, Elsevier, vol. 24(8), pages 1200-1225, December.
    See citations under working paper version above.
  3. Gondzio, Jacek & Kouwenberg, Roy & Vorst, Ton, 2003. "Hedging options under transaction costs and stochastic volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 27(6), pages 1045-1068, April.
    See citations under working paper version above.
  4. Albert Menkveld & Ton Vorst, 2000. "A Pricing Model for American Options with Gaussian Interest Rates," Annals of Operations Research, Springer, vol. 100(1), pages 211-226, December.

    Cited by:

    1. João Nunes, 2011. "American options and callable bonds under stochastic interest rates and endogenous bankruptcy," Review of Derivatives Research, Springer, vol. 14(3), pages 283-332, October.
    2. Taiga Saito & Shivam Gupta, 2022. "Big Data Applications with Theoretical Models and Social Media in Financial Management," CIRJE F-Series CIRJE-F-1205, CIRJE, Faculty of Economics, University of Tokyo.
    3. Taiga Saito & Shivam Gupta, 2022. "Big data applications with theoretical models and social media in financial management," CARF F-Series CARF-F-550, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    4. Jérôme Detemple & Weidong Tian, 2002. "The Valuation of American Options for a Class of Diffusion Processes," Management Science, INFORMS, vol. 48(7), pages 917-937, July.
    5. Cheng Cai & Tiziano De Angelis & Jan Palczewski, 2021. "The American put with finite-time maturity and stochastic interest rate," Papers 2104.08502, arXiv.org, revised Feb 2024.
    6. Huang, Haishi, 2010. "Convertible Bonds: Risks and Optimal Strategies," Bonn Econ Discussion Papers 07/2010, University of Bonn, Bonn Graduate School of Economics (BGSE).
    7. Cheng Cai & Tiziano De Angelis & Jan Palczewski, 2022. "The American put with finite‐time maturity and stochastic interest rate," Mathematical Finance, Wiley Blackwell, vol. 32(4), pages 1170-1213, October.

  5. Monique, W.M. Donders & Roy Kouwenberg & Ton, C. F. Vorst, 2000. "Options and earnings announcements: an empirical study of volatility, trading volume, open interest and liquidity," European Financial Management, European Financial Management Association, vol. 6(2), pages 149-171, June.

    Cited by:

    1. Jieun Lee & Doojin Ryu, 2019. "The impacts of public news announcements on intraday implied volatility dynamics," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(6), pages 656-685, June.
    2. Isakov, Dusan & Perignon, Christophe, 2001. "Evolution of market uncertainty around earnings announcements," Journal of Banking & Finance, Elsevier, vol. 25(9), pages 1769-1788, September.
    3. Lee A. Smales & Zhangxin (Frank) Liu & Cameron D. Robertson, 2022. "One session options: Playing the announcement lottery?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(2), pages 192-211, February.
    4. Seraina C. Anagnostopoulou & Aikaterini C. Ferentinou & Panagiotis A. Tsaousis & Andrianos E. Tsekrekos, 2018. "The Options Market Reaction to Bank Loan Announcements," Journal of Financial Services Research, Springer;Western Finance Association, vol. 53(1), pages 99-139, February.
    5. Pascal Dumontier & Bernard Raffournier, 2002. "Accounting and capital markets: a survey of the European evidence," European Accounting Review, Taylor & Francis Journals, vol. 11(1), pages 119-151.
    6. C. José García Martín & Begoña Herrero Piqueras & Ana María Ibáñez Escribano, 2016. "The informational role of thin options markets: Empirical evidence from the Spanish case," Estudios de Economia, University of Chile, Department of Economics, vol. 43(2 Year 20), pages 233-263, December.
    7. Perico Ortiz, Daniel & Schnaubelt, Matthias & Seifert, Oleg, 2023. "A topic modeling perspective on investor uncertainty," FAU Discussion Papers in Economics 04/2023, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    8. Avinash & T. Mallikarjunappa, 2020. "Informational Role of Open Interest and Transaction Volume of Options: A Meta-Analytic Review," FIIB Business Review, , vol. 9(4), pages 275-285, December.
    9. Le Grand, F. & Ragot, X., 2010. "Prices and volumes of options: A simple theory of risk sharing when markets are incomplete," Working papers 302, Banque de France.
    10. Anagnostopoulou, Seraina C. & Tsekrekos, Andrianos E., 2015. "Accounting quality, information risk and implied volatility around earnings announcements," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 188-207.
    11. Nikkinen, Jussi & Rothovius, Timo, 2019. "The EIA WPSR release, OVX and crude oil internet interest," Energy, Elsevier, vol. 166(C), pages 131-141.
    12. Sourav Medya & Mohammad Rasoolinejad & Yang Yang & Brian Uzzi, 2022. "An Exploratory Study of Stock Price Movements from Earnings Calls," Papers 2203.12460, arXiv.org.
    13. Cristhian Mellado & Surendranath R. Jory & Thanh N. Ngo, 2016. "Do Option Traders Target Firms With Poor Earnings Quality," 2016 Papers pme563, Job Market Papers.
    14. Zdeněk Drábek & Miloš Kopa & Matúš Maciak & Michal Pešta & Sebastiano Vitali, 2023. "Investment disputes and their explicit role in option market uncertainty and overall risk instability," Computational Management Science, Springer, vol. 20(1), pages 1-25, December.
    15. Zhiqiang Ma & Grace Bang & Chong Wang & Xiaomo Liu, 2020. "Towards Earnings Call and Stock Price Movement," Papers 2009.01317, arXiv.org.
    16. Bernales, Alejandro & Guidolin, Massimo, 2015. "Learning to smile: Can rational learning explain predictable dynamics in the implied volatility surface?," Journal of Financial Markets, Elsevier, vol. 26(C), pages 1-37.
    17. Truong, Cameron & Corrado, Charles & Chen, Yangyang, 2012. "The options market response to accounting earnings announcements," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 423-450.
    18. Bernales, Alejandro & Verousis, Thanos & Voukelatos, Nikolaos, 2020. "Do investors follow the herd in option markets?," Journal of Banking & Finance, Elsevier, vol. 119(C).
    19. Alejandro Bernales & Thanos Verousis & Nikolaos Voukelatos & Mengyu Zhang, 2020. "What do we know about individual equity options?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 67-91, January.

  6. Cheuk, Terry H F & Vorst, Ton C F, 1999. "Average Interest Rate Caps," Computational Economics, Springer;Society for Computational Economics, vol. 14(3), pages 183-196, December.

    Cited by:

    1. José Dias Curto, 2022. "Averages: There is Still Something to Learn," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 755-779, August.

  7. Martin Martens & Paul Kofman & Ton C. F. Vorst, 1998. "A threshold error-correction model for intraday futures and index returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(3), pages 245-263.
    See citations under working paper version above.
  8. Moraleda, Juan M. & Vorst, Ton C. F., 1997. "Pricing American interest rate claims with humped volatility models," Journal of Banking & Finance, Elsevier, vol. 21(8), pages 1131-1157, August.

    Cited by:

    1. Ram Bhar & Carl Chiarella & Thuy-Duong To, 2004. "Estimating the Volatility Structure of an Arbitrage-Free Interest Rate Model Via the Futures Markets," Finance 0409003, University Library of Munich, Germany.
    2. Peter Ritchken & Iyuan Chuang, 2000. "Interest rate option pricing with volatility humps," Review of Derivatives Research, Springer, vol. 3(3), pages 237-262, October.
    3. Christiansen, Charlotte & Strunk Hansen, Charlotte, 2000. "Implied Volatility of Interest Rate Options: An Empirical Investigation of the Market Model," Finance Working Papers 00-1, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    4. Frank De Jong & Joost Driessen & Antoon Pelsser, 2001. "Libor Market Models versus Swap Market Models for Pricing Interest Rate Derivatives: An Empirical Analysis," Review of Finance, European Finance Association, vol. 5(3), pages 201-237.
    5. Mireille Bossy & Rajna Gibson & Francois-Serge Lhabitant & Nathalie Pistre & Denis Talay, 2006. "Model misspecification analysis for bond options and Markovian hedging strategies," Review of Derivatives Research, Springer, vol. 9(2), pages 109-135, September.
    6. Bueno-Guerrero, Alberto & Moreno, Manuel & Navas, Javier F., 2016. "The stochastic string model as a unifying theory of the term structure of interest rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 217-237.
    7. Mercurio, F. & Moraleda, J. M., 2000. "An analytically tractable interest rate model with humped volatility," European Journal of Operational Research, Elsevier, vol. 120(1), pages 205-214, January.
    8. Anders B. Trolle & Eduardo S. Schwartz, 2009. "A General Stochastic Volatility Model for the Pricing of Interest Rate Derivatives," The Review of Financial Studies, Society for Financial Studies, vol. 22(5), pages 2007-2057, May.
    9. Falini, Jury, 2010. "Pricing caps with HJM models: The benefits of humped volatility," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1358-1367, December.
    10. Markus Leippold & Liuren Wu, 2003. "Design and Estimation of Quadratic Term Structure Models," Review of Finance, European Finance Association, vol. 7(1), pages 47-73.
    11. Fabio Mercurio & Juan Moraleda, 2001. "A family of humped volatility models," The European Journal of Finance, Taylor & Francis Journals, vol. 7(2), pages 93-116.
    12. I.-Doun Kuo, 2011. "Pricing and hedging volatility smile under multifactor interest rate models," Review of Quantitative Finance and Accounting, Springer, vol. 36(1), pages 83-104, January.
    13. Frank de Jong & Joost Driessen & Antoon Pelsser, 2004. "On the Information in the Interest Rate Term Structure and Option Prices," Review of Derivatives Research, Springer, vol. 7(2), pages 99-127, August.
    14. Driessen, Joost & Klaassen, Pieter & Melenberg, Bertrand, 2003. "The Performance of Multi-Factor Term Structure Models for Pricing and Hedging Caps and Swaptions," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 38(3), pages 635-672, September.
    15. Yunbi An & Wulin Suo, 2008. "The compatibility of one‐factor market models in caps and swaptions markets: Evidence from their dynamic hedging performance," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(2), pages 109-130, February.
    16. Ravi Kashyap, 2022. "Options as Silver Bullets: Valuation of Term Loans, Inventory Management, Emissions Trading and Insurance Risk Mitigation using Option Theory," Annals of Operations Research, Springer, vol. 315(2), pages 1175-1215, August.
    17. Jury Falini, 2009. "Pricing caps with HJM models: the benefits of humped volatility," Department of Economics University of Siena 563, Department of Economics, University of Siena.
    18. Hürlimann, Werner, 2010. "Analytical Pricing of the Unit-Linked Endowment with Guarantees and Periodic Premiums," ASTIN Bulletin, Cambridge University Press, vol. 40(2), pages 631-653, November.
    19. Ravi Kashyap, 2016. "Options as Silver Bullets: Valuation of Term Loans, Inventory Management, Emissions Trading and Insurance Risk Mitigation using Option Theory," Papers 1609.01274, arXiv.org, revised Mar 2022.
    20. Carl Chiarella & Thuy-Duong Tô, 2006. "The Multifactor Nature of the Volatility of Futures Markets," Computational Economics, Springer;Society for Computational Economics, vol. 27(2), pages 163-183, May.
    21. Massimo Costabile & Ivar Massabó & Emilio Russo, 2013. "A Path-Independent Humped Volatility Model for Option Pricing," Applied Mathematical Finance, Taylor & Francis Journals, vol. 20(3), pages 191-210, July.
    22. Carl Chiarella & Thuy-Duong To, 2005. "The Multifactor Nature of the Volatility of the Eurodollar Futures Market," Research Paper Series 150, Quantitative Finance Research Centre, University of Technology, Sydney.

  9. Cheuk, Terry H. F. & Vorst, Ton C. F., 1997. "Currency lookback options and observation frequency: A binomial approach," Journal of International Money and Finance, Elsevier, vol. 16(2), pages 173-187, April.

    Cited by:

    1. Min Dai, 2003. "One-state variable binomial models for European-/American-style geometric Asian options," Quantitative Finance, Taylor & Francis Journals, vol. 3(4), pages 288-295.
    2. L. Ramprasath, 2018. "A simpler algorithm to price American Lookback options in a discrete stochastic volatility model," Working papers 294, Indian Institute of Management Kozhikode.
    3. Gongqiu Zhang & Lingfei Li, 2021. "A General Approach for Lookback Option Pricing under Markov Models," Papers 2112.00439, arXiv.org.
    4. Karl Grosse-Erdmann & Fabien Heuwelyckx, 2016. "The pricing of lookback options and binomial approximation," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 39(1), pages 33-67, April.
    5. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    6. D. Andricopoulos, Ari & Widdicks, Martin & Newton, David P. & Duck, Peter W., 2007. "Extending quadrature methods to value multi-asset and complex path dependent options," Journal of Financial Economics, Elsevier, vol. 83(2), pages 471-499, February.
    7. Emilio Russo, 2020. "A Discrete-Time Approach to Evaluate Path-Dependent Derivatives in a Regime-Switching Risk Model," Risks, MDPI, vol. 8(1), pages 1-22, January.
    8. Karl Grosse-Erdmann & Fabien Heuwelyckx, 2015. "The pricing of lookback options and binomial approximation," Papers 1502.02819, arXiv.org.
    9. Guthrie, Graeme & Stannard, Tom, 2020. "Easy money? Managerial power and the option backdating game revisited," Journal of Banking & Finance, Elsevier, vol. 118(C).
    10. Andricopoulos, Ari D. & Widdicks, Martin & Duck, Peter W. & Newton, David P., 2003. "Universal option valuation using quadrature methods," Journal of Financial Economics, Elsevier, vol. 67(3), pages 447-471, March.
    11. Fabien Heuwelyckx, 2013. "Convergence of European Lookback Options with Floating Strike in the Binomial Model," Papers 1302.2312, arXiv.org, revised Oct 2013.
    12. Farid Aitsahlia & Tzeung Le Lai, 1998. "Random walk duality and the valuation of discrete lookback options," Applied Mathematical Finance, Taylor & Francis Journals, vol. 5(3-4), pages 227-240.

  10. Donders, Monique W. M. & Vorst, Ton C. F., 1996. "The impact of firm specific news on implied volatilities," Journal of Banking & Finance, Elsevier, vol. 20(9), pages 1447-1461, November.

    Cited by:

    1. López, Raquel & Esparcia, Carlos, 2021. "Analysis of the performance of volatility-based trading strategies on scheduled news announcement days: An international equity market perspective," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 32-54.
    2. Isakov, Dusan & Perignon, Christophe, 2001. "Evolution of market uncertainty around earnings announcements," Journal of Banking & Finance, Elsevier, vol. 25(9), pages 1769-1788, September.
    3. Seraina C. Anagnostopoulou & Aikaterini C. Ferentinou & Panagiotis A. Tsaousis & Andrianos E. Tsekrekos, 2018. "The Options Market Reaction to Bank Loan Announcements," Journal of Financial Services Research, Springer;Western Finance Association, vol. 53(1), pages 99-139, February.
    4. Choy, Siu-Kai, 2015. "Retail clientele and option returns," Journal of Banking & Finance, Elsevier, vol. 51(C), pages 26-42.
    5. Chatrath, Arjun & Christie-David, Rohan A. & Miao, Hong & Ramchander, Sanjay, 2015. "Short-term options: Clienteles, market segmentation, and event trading," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 237-250.
    6. Geppert, Gero & Kamerschen, David R., 2008. "The effect of mergers on implied volatility of equity options," International Review of Financial Analysis, Elsevier, vol. 17(2), pages 330-344.
    7. DUBOIS, Michel & ERTUR, Cem, 1997. "The Cost of Equity and Exchange Listing. Evidence from the French Stock Market," LATEC - Document de travail - Economie (1991-2003) 1997-10, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
    8. Robert F. Engle & Martin Klint Hansen & Asger Lunde, 2012. "And Now, The Rest of the News: Volatility and Firm Specific News Arrival," CREATES Research Papers 2012-56, Department of Economics and Business Economics, Aarhus University.
    9. Adrian Fernandez‐Perez & Raquel López, 2023. "The effect of macroeconomic news announcements on the implied volatility of commodities: The role of survey releases," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(11), pages 1499-1530, November.
    10. Julia Darby & Graeme Roy, 2017. "Political uncertainty and stock market volatility: new evidence from the 2014 Scottish Independence Referendum," Working Papers 1706, University of Strathclyde Business School, Department of Economics.
    11. Robert A. Connolly & Christopher T. Stivers, 2000. "Evidence on the Economics of Equity Return Volatility Clustering," Econometric Society World Congress 2000 Contributed Papers 1575, Econometric Society.
    12. Jussi Nikkinen & Petri Sahlstrom, 2001. "Impact of Scheduled U.S. Macroeconomic News on Stock Market Uncertainty: A Multinational Perspecive," Multinational Finance Journal, Multinational Finance Journal, vol. 5(2), pages 129-148, June.
    13. Nikkinen, Jussi & Sahlstrom, Petri, 2004. "Impact of the federal open market committee's meetings and scheduled macroeconomic news on stock market uncertainty," International Review of Financial Analysis, Elsevier, vol. 13(1), pages 1-12.
    14. Matthew J. Clayton & Jay C. Hartzell & Joshua V. Rosenberg, 2003. "The impact of CEO turnover on equity volatility," Staff Reports 166, Federal Reserve Bank of New York.
    15. Anagnostopoulou, Seraina C. & Tsekrekos, Andrianos E., 2015. "Accounting quality, information risk and implied volatility around earnings announcements," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 188-207.
    16. Vaclav Broz & Evzen Kocenda, 2019. "Mortgage-Related Bank Penalties and Systemic Risk Among U.S. Banks," Working Papers IES 2019/25, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2019.
    17. Imlak Shaikh & Puja Padhi, 2013. "RBI’s Monetary Policy and Macroeconomic Announcements: Impact on S&P CNX Nifty VIX," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 19(4), pages 445-460, March.
    18. Nikkinen, Jussi & Rothovius, Timo, 2019. "The EIA WPSR release, OVX and crude oil internet interest," Energy, Elsevier, vol. 166(C), pages 131-141.
    19. Baik, Bok & Kang, Hyoung-Goo & Kim, Young Jun, 2013. "Volatility arbitrage around earnings announcements: Evidence from the Korean equity linked warrants market," Pacific-Basin Finance Journal, Elsevier, vol. 23(C), pages 109-130.
    20. Anagnostopoulou, Seraina C. & Tsekrekos, Andrianos E., 2017. "Accounting quality, information risk and the term structure of implied volatility around earnings announcements," Research in International Business and Finance, Elsevier, vol. 41(C), pages 445-460.
    21. Smales, Lee A., 2015. "Better the devil you know: The influence of political incumbency on Australian financial market uncertainty," Research in International Business and Finance, Elsevier, vol. 33(C), pages 59-74.
    22. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    23. Thorsten Egelkraut & Philip Garcia & Bruce Sherrick, 2007. "Options-based forecasts of futures prices in the presence of limit moves," Applied Economics, Taylor & Francis Journals, vol. 39(2), pages 145-152.
    24. A. W. Rathgeber & J. Stadler & S. Stöckl, 2021. "The impact of the leverage effect on the implied volatility smile: evidence for the German option market," Review of Derivatives Research, Springer, vol. 24(2), pages 95-133, July.
    25. Jeffrey Jones & Jenny Gu & Pu Liu, 2014. "Do dividend initiations signal a reduction in risk? Evidence from the option market," Review of Quantitative Finance and Accounting, Springer, vol. 42(1), pages 143-158, January.
    26. Flannery, Mark & Hirtle, Beverly & Kovner, Anna, 2017. "Evaluating the information in the federal reserve stress tests," Journal of Financial Intermediation, Elsevier, vol. 29(C), pages 1-18.
    27. Tim Leung & Marco Santoli, 2014. "Accounting for Earnings Announcements in the Pricing of Equity Options," Papers 1412.8414, arXiv.org, revised Apr 2015.
    28. Vlastakis, Nikolaos & Markellos, Raphael N., 2012. "Information demand and stock market volatility," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1808-1821.
    29. Atilgan, Yigit, 2014. "Volatility spreads and earnings announcement returns," Journal of Banking & Finance, Elsevier, vol. 38(C), pages 205-215.
    30. Chen, En-Te (John) & Clements, Adam, 2007. "S&P 500 implied volatility and monetary policy announcements," Finance Research Letters, Elsevier, vol. 4(4), pages 227-232, December.
    31. Nikkinen, Jussi & Sahlstrom, Petri, 2004. "Scheduled domestic and US macroeconomic news and stock valuation in Europe," Journal of Multinational Financial Management, Elsevier, vol. 14(3), pages 201-215, July.
    32. Sol Kim & Geul Lee & Hyoung‐Goo Kang, 2021. "Risk management and corporate social responsibility," Strategic Management Journal, Wiley Blackwell, vol. 42(1), pages 202-230, January.
    33. Jiang, George J. & Konstantinidi, Eirini & Skiadopoulos, George, 2012. "Volatility spillovers and the effect of news announcements," Journal of Banking & Finance, Elsevier, vol. 36(8), pages 2260-2273.
    34. Truong, Cameron & Corrado, Charles & Chen, Yangyang, 2012. "The options market response to accounting earnings announcements," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 423-450.
    35. Clements, A.E. & Liao, Y., 2020. "Firm-specific information and systemic risk," Economic Modelling, Elsevier, vol. 90(C), pages 480-493.
    36. Gatfaoui, Hayette, 2013. "Translating financial integration into correlation risk: A weekly reporting's viewpoint for the volatility behavior of stock markets," Economic Modelling, Elsevier, vol. 30(C), pages 776-791.
    37. Imlak Shaikh & Puja Padhi, 2013. "Macroeconomic Announcements and the Implied Volatility Index: Evidence from India VIX," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 7(4), pages 417-442, November.

  11. Pelsser, Antoon & Vorst, Ton, 1996. "Transaction costs and efficiency of portfolio strategies," European Journal of Operational Research, Elsevier, vol. 91(2), pages 250-263, June.

    Cited by:

    1. Cesari, Riccardo & Cremonini, David, 2003. "Benchmarking, portfolio insurance and technical analysis: a Monte Carlo comparison of dynamic strategies of asset allocation," Journal of Economic Dynamics and Control, Elsevier, vol. 27(6), pages 987-1011, April.
    2. Ying Fu & Kien Ng & Boray Huang & Huei Huang, 2015. "Portfolio optimization with transaction costs: a two-period mean-variance model," Annals of Operations Research, Springer, vol. 233(1), pages 135-156, October.
    3. Jouini, Elyes & Kallal, Hedi, 2001. "Efficient Trading Strategies in the Presence of Market Frictions," The Review of Financial Studies, Society for Financial Studies, vol. 14(2), pages 343-369.
    4. Bernard, C. & Vanduffel, S., 2014. "Mean–variance optimal portfolios in the presence of a benchmark with applications to fraud detection," European Journal of Operational Research, Elsevier, vol. 234(2), pages 469-480.
    5. Gaurav Amin & Harry. M Kat, 2001. "Hedge Fund Performance 1990-2000- Do the "Money Machines" Really Add Value?," ICMA Centre Discussion Papers in Finance icma-dp2001-05, Henley Business School, University of Reading, revised Sep 2001.

  12. Fabio Mercurio & Ton Vorst, 1996. "Option pricing with hedging at fixed trading dates," Applied Mathematical Finance, Taylor & Francis Journals, vol. 3(2), pages 135-158.

    Cited by:

    1. T. F. Coleman & Y. Kim & Y. Li & M. Patron, 2007. "Robustly Hedging Variable Annuities With Guarantees Under Jump and Volatility Risks," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 74(2), pages 347-376, June.
    2. Primbs, James A. & Yamada, Yuji, 2006. "A moment computation algorithm for the error in discrete dynamic hedging," Journal of Banking & Finance, Elsevier, vol. 30(2), pages 519-540, February.
    3. Coleman, Thomas F. & Li, Yuying & Patron, Maria-Cristina, 2006. "Hedging guarantees in variable annuities under both equity and interest rate risks," Insurance: Mathematics and Economics, Elsevier, vol. 38(2), pages 215-228, April.
    4. Olivier Renault & Jean-Luc Prigent & Olivier Scaillet, 2000. "An Autoregressive Conditional Binomial Option Pricing Model," FMG Discussion Papers dp364, Financial Markets Group.
    5. J.L. Prigent & O. Renault & O. Scaillet., 1999. "Option pricing with discrete rebalancing," THEMA Working Papers 99-41, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    6. Mercurio, Fabio, 2001. "Claim pricing and hedging under market incompleteness and "mean-variance" preferences," European Journal of Operational Research, Elsevier, vol. 133(3), pages 635-652, September.
    7. Abdou Kélani & François Quittard-Pinon, 2017. "Pricing and Hedging Variable Annuities in a Lévy Market: A Risk Management Perspective," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(1), pages 209-238, March.
    8. Cheng Cai & Tiziano De Angelis & Jan Palczewski, 2020. "Optimal hedging of a perpetual American put with a single trade," Papers 2003.06249, arXiv.org, revised Sep 2020.

  13. Kalb, Guyonne R. J. & Kofman, Paul & Vorst, Ton C. F., 1996. "Mixtures of tails in clustered automobile collision claims," Insurance: Mathematics and Economics, Elsevier, vol. 18(2), pages 89-107, July.

    Cited by:

    1. Amira Dridi & Mohamed El Ghourabi & Mohamed Limam, 2012. "On monitoring financial stress index with extreme value theory," Quantitative Finance, Taylor & Francis Journals, vol. 12(3), pages 329-339, March.
    2. Mohamed El Ghourabi & Amira Dridi & Mohamed Limam, 2015. "A new financial stress index model based on support vector regression and control chart," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(4), pages 775-788, April.
    3. Bolance, Catalina & Guillen, Montserrat & Perch Nielsen, Jens, 2000. "Kernel Density Estimation of Actuarial Loss Functions," Finance Working Papers 00-4, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    4. Pozo, Susan & Amuedo-Dorantes, Catalina, 2003. "Statistical distributions and the identification of currency crises," Journal of International Money and Finance, Elsevier, vol. 22(4), pages 591-609, August.

  14. Heynen, Ronald & Kemna, Angelien & Vorst, Ton, 1994. "Analysis of the Term Structure of Implied Volatilities," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(1), pages 31-56, March.

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    1. Vähämaa, Sami & Krylova, Elizaveta & Nikkinen, Jussi, 2005. "Cross-dynamics of volatility term structures implied by foreign exchange options," Working Paper Series 530, European Central Bank.
    2. Peter J. Zeitsch, 2024. "Convertible Bond Arbitrage Smart Beta," Computational Economics, Springer;Society for Computational Economics, vol. 63(1), pages 159-192, January.
    3. Dominique Guegan & Jing Zang, 2009. "Pricing bivariate option under GARCH-GH model with dynamic copula: application for Chinese market," The European Journal of Finance, Taylor & Francis Journals, vol. 15(7-8), pages 777-795.
    4. Chalamandaris, Georgios & Tsekrekos, Andrianos E., 2010. "Predictable dynamics in implied volatility surfaces from OTC currency options," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1175-1188, June.
    5. Robert F. Engle & Joshua Rosenberg, 1966. "Testing the Volatility Term Structure Using Option Hedging Criteria," New York University, Leonard N. Stern School Finance Department Working Paper Seires 96-24, New York University, Leonard N. Stern School of Business-.
    6. Chen, Ying & Han, Qian & Niu, Linlin, 2018. "Forecasting the Term Structure of Option Implied Volatility: The Power of an Adaptive Method," IRTG 1792 Discussion Papers 2018-046, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    7. H. Ben Ameur & Jean-Luc Prigent, 2018. "Risk management of time varying floors for dynamic portfolio insurance," Post-Print hal-03679408, HAL.
    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. Eckhard Platen & Martin Schweizer, 1998. "On Feedback Effects from Hedging Derivatives," Mathematical Finance, Wiley Blackwell, vol. 8(1), pages 67-84, January.
    10. Cayetano, Gea, 2007. "Studying the Properties of the Correlation Trades," MPRA Paper 22318, University Library of Munich, Germany.
    11. Isakov, Dusan & Perignon, Christophe, 2001. "Evolution of market uncertainty around earnings announcements," Journal of Banking & Finance, Elsevier, vol. 25(9), pages 1769-1788, September.
    12. Ren-Raw Chen & Oded Palmon, 2005. "A Non-Parametric Option Pricing Model: Theory and Empirical Evidence," Review of Quantitative Finance and Accounting, Springer, vol. 24(2), pages 115-134, January.
    13. Kumiega, Andrew & Neururer, Thaddeus & Van Vliet, Ben, 2011. "Independent component analysis for realized volatility: Analysis of the stock market crash of 2008," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(3), pages 292-302, June.
    14. Takami, Marcelo Yoshio & Tabak, Benjamin Miranda, 2008. "Interest rate option pricing and volatility forecasting: An application to Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 38(3), pages 755-763.
    15. A. Sudhakar & Potharla Srikanth, 2016. "Determinants of In-the-money Expiration of Call Option Contracts—An Empirical Evidence from Call Options on Nifty 50 Index," Global Business Review, International Management Institute, vol. 17(6), pages 1373-1387, December.
    16. Äijö, Janne, 2008. "Implied volatility term structure linkages between VDAX, VSMI and VSTOXX volatility indices," Global Finance Journal, Elsevier, vol. 18(3), pages 290-302.
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    18. Bollerslev, Tim & Ole Mikkelsen, Hans, 1999. "Long-term equity anticipation securities and stock market volatility dynamics," Journal of Econometrics, Elsevier, vol. 92(1), pages 75-99, September.
    19. Georgios Chalamandaris & Andrianos Tsekrekos, 2013. "Explanatory Factors and Causality in the Dynamics of Volatility Surfaces Implied from OTC Asian–Pacific Currency Options," Computational Economics, Springer;Society for Computational Economics, vol. 41(3), pages 327-358, March.
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    22. Donders, Monique W. M. & Vorst, Ton C. F., 1996. "The impact of firm specific news on implied volatilities," Journal of Banking & Finance, Elsevier, vol. 20(9), pages 1447-1461, November.
    23. Francesco Drudi & Roberto Violi, 1999. "Structure par terme des taux d'intérêt, volatilité et primes de risque : applications au marché de l'Eurolire," Économie et Prévision, Programme National Persée, vol. 140(4), pages 21-34.
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    Cited by:

    1. Hitoshi Imai & Naoyuki Ishimura & Ikumi Mottate & Masaaki Nakamura, 2006. "On the Hoggard–Whalley–Wilmott Equation for the Pricing of Options with Transaction Costs," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 13(4), pages 315-326, December.
    2. Jay Cao & Jacky Chen & John Hull & Zissis Poulos, 2021. "Deep Hedging of Derivatives Using Reinforcement Learning," Papers 2103.16409, arXiv.org.
    3. Wang, Jun & Liang, Jin-Rong & Lv, Long-Jin & Qiu, Wei-Yuan & Ren, Fu-Yao, 2012. "Continuous time Black–Scholes equation with transaction costs in subdiffusive fractional Brownian motion regime," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(3), pages 750-759.
    4. Luca Di Persio & Luca Prezioso & Kai Wallbaum, 2019. "Closed-End Formula for options linked to Target Volatility Strategies," Papers 1902.08821, arXiv.org.
    5. 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.
    6. C. Atkinson & C. A. Alexandropoulos, 2006. "Pricing a European Basket Option in the Presence of Proportional Transaction Costs," Applied Mathematical Finance, Taylor & Francis Journals, vol. 13(3), pages 191-214.
    7. Monoyios, Michael, 2004. "Option pricing with transaction costs using a Markov chain approximation," Journal of Economic Dynamics and Control, Elsevier, vol. 28(5), pages 889-913, February.
    8. Branger, Nicole & Mahayni, Antje, 2006. "Tractable hedging: An implementation of robust hedging strategies," Journal of Economic Dynamics and Control, Elsevier, vol. 30(11), pages 1937-1962, November.
    9. Ren-Raw Chen & Oded Palmon, 2005. "A Non-Parametric Option Pricing Model: Theory and Empirical Evidence," Review of Quantitative Finance and Accounting, Springer, vol. 24(2), pages 115-134, January.
    10. Constantinides, George M. & Perrakis, Stylianos, 2002. "Stochastic dominance bounds on derivatives prices in a multiperiod economy with proportional transaction costs," Journal of Economic Dynamics and Control, Elsevier, vol. 26(7-8), pages 1323-1352, July.
    11. Takashi Nishiwaki, 2021. "Does Ambiguity Generate Demand for Options?," Working Papers 2102, Waseda University, Faculty of Political Science and Economics.
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    Cited by:

    1. Jean-Yves Datey & Genevieve Gauthier & Jean-Guy Simonato, 2003. "The Performance of Analytical Approximations for the Computation of Asian Quanto-Basket Option Prices," Multinational Finance Journal, Multinational Finance Journal, vol. 7(1-2), pages 55-82, March-Jun.
    2. Fabien Le Floc'h, 2024. "Stochastic expansion for the pricing of Asian and basket options," Papers 2402.17684, arXiv.org, revised Mar 2024.
    3. Manuel Moreno & Javier F. Navas, 2003. "Australian Asian options," Economics Working Papers 680, Department of Economics and Business, Universitat Pompeu Fabra.
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    12. 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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    1. Serpil Sayin, 2003. "A Procedure to Find Discrete Representations of the Efficient Set with Specified Coverage Errors," Operations Research, INFORMS, vol. 51(3), pages 427-436, June.
    2. Gryazina, Elena & Polyak, Boris, 2014. "Random sampling: Billiard Walk algorithm," European Journal of Operational Research, Elsevier, vol. 238(2), pages 497-504.
    3. van Valkenhoef, Gert & Tervonen, Tommi, 2016. "Entropy-optimal weight constraint elicitation with additive multi-attribute utility models," Omega, Elsevier, vol. 64(C), pages 1-12.

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    1. Asbjørn T. Hansen & Peter Løchte Jørgensen, 2000. "Analytical Valuation of American-Style Asian Options," Management Science, INFORMS, vol. 46(8), pages 1116-1136, August.
    2. Marcos Escobar-Anel & Matt Davison & Yichen Zhu, 2022. "Derivatives-based portfolio decisions: an expected utility insight," Annals of Finance, Springer, vol. 18(2), pages 217-246, June.
    3. Jean-Yves Datey & Genevieve Gauthier & Jean-Guy Simonato, 2003. "The Performance of Analytical Approximations for the Computation of Asian Quanto-Basket Option Prices," Multinational Finance Journal, Multinational Finance Journal, vol. 7(1-2), pages 55-82, March-Jun.
    4. Ting He, 2020. "Nonparametric Predictive Inference for Asian options," Papers 2008.13082, arXiv.org.
    5. David Ford & Diane Lander & John Voyer, 2002. "A real options approach to valuing strategic flexibility in uncertain construction projects," Construction Management and Economics, Taylor & Francis Journals, vol. 20(4), pages 343-351.
    6. Jin-Chuan Duan & Jean-Guy Simonato, 1998. "Empirical Martingale Simulation for Asset Prices," Management Science, INFORMS, vol. 44(9), pages 1218-1233, September.
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    8. Dingeç, Kemal Dinçer & Hörmann, Wolfgang, 2012. "A general control variate method for option pricing under Lévy processes," European Journal of Operational Research, Elsevier, vol. 221(2), pages 368-377.
    9. 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).
    10. Zhang, Ling & Lai, Yongzeng & Zhang, Shuhua & Li, Lin, 2019. "Efficient control variate methods with applications to exotic options pricing under subordinated Brownian motion models," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 602-621.
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  19. Vorst, A. C. F., 1987. "Optimal housing maintenance under uncertainty," Journal of Urban Economics, Elsevier, vol. 21(2), pages 209-227, March.
    See citations under working paper version above.
  20. Vorst, Ton, 1986. "The relation between the rent and selling price of a building under optimal maintenance with uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 10(1-2), pages 315-320, June.

    Cited by:

    1. Andrey Pavlov & George Blazenko, 2005. "The Neighborhood Effect of Real Estate Maintenance," The Journal of Real Estate Finance and Economics, Springer, vol. 30(4), pages 327-340, June.

  21. A C F Vorst, 1985. "A Stochastic Version of the Urban Retail Model," Environment and Planning A, , vol. 17(12), pages 1569-1580, December.

    Cited by:

    1. P Nijkamp & A Reggiani, 1988. "Dynamic Spatial Interaction Models: New Directions," Environment and Planning A, , vol. 20(11), pages 1449-1460, November.
    2. Nijkamp, P. & Reggiani, A., 1987. "Spatial interaction and input-output models : a dynamic stochastic multi-objective framework," Serie Research Memoranda 0059, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    3. Minoru Osawa & Takashi Akamatsu & Yosuke Kogure, 2020. "Stochastic stability of agglomeration patterns in an urban retail model," Papers 2011.06778, arXiv.org.

  22. J F Kaashoek & A C F Vorst, 1984. "The Cusp Catastrophe in the Urban Retail Model," Environment and Planning A, , vol. 16(7), pages 851-862, July.
    See citations under working paper version above.
  23. F J A Rijk & A C F Vorst, 1983. "On the Uniqueness and Existence of Equilibrium Points in an Urban Retail Model," Environment and Planning A, , vol. 15(4), pages 475-482, April.

    Cited by:

    1. Minoru Osawa & Takashi Akamatsu & Yosuke Kogure, 2020. "Stochastic stability of agglomeration patterns in an urban retail model," Papers 2011.06778, arXiv.org.

  24. Rijk, F. J. A. & Vorst, A. C. F., 1983. "Equilibrium points in an urban retail model and their connection with dynamical systems," Regional Science and Urban Economics, Elsevier, vol. 13(3), pages 383-399, August.

    Cited by:

    1. Akamatsu, Takashi & Osawa, Minoru & Takayama, Yuki, 2015. "Harris and Wilson (1978) Model Revisited: The Spatial Period-doubling Cascade in an Urban Retail Model," MPRA Paper 67974, University Library of Munich, Germany.
    2. Hidenori Tamagawa, 2012. "The Implications of Using a Gravity Model to Determine Territory in a Circular Domain," Environment and Planning B, , vol. 39(6), pages 978-990, December.
    3. P Nijkamp & A Reggiani, 1988. "Dynamic Spatial Interaction Models: New Directions," Environment and Planning A, , vol. 20(11), pages 1449-1460, November.
    4. Minoru Osawa & Takashi Akamatsu & Yosuke Kogure, 2020. "Stochastic stability of agglomeration patterns in an urban retail model," Papers 2011.06778, arXiv.org.
    5. A C F Vorst, 1985. "A Stochastic Version of the Urban Retail Model," Environment and Planning A, , vol. 17(12), pages 1569-1580, December.
    6. S T Lombardo & G A Rabino, 1986. "Calibration Procedures and Problems of Stability in Nonlinear Dynamic Spatial Interaction Modeling," Environment and Planning A, , vol. 18(3), pages 341-350, March.

Chapters

  1. Reimer Beneder & Ton Vorst, 2001. "Options on Dividend Paying Stocks," World Scientific Book Chapters, in: Jiongmin Yong (ed.), Recent Developments In Mathematical Finance, chapter 17, pages 204-217, World Scientific Publishing Co. Pte. Ltd..

    Cited by:

    1. D. Jason Gibson & Aaron Wingo, 2016. "Pricing barrier options with discrete dividends," Papers 1601.00940, arXiv.org.
    2. Alexander Buryak & Ivan Guo, 2014. "New analytic approach to address Put - Call parity violation due to discrete dividends," Papers 1407.7328, arXiv.org.
    3. Nelson Areal & Artur Rodrigues, 2014. "Discrete dividends and the FTSE-100 index options valuation," Quantitative Finance, Taylor & Francis Journals, vol. 14(10), pages 1765-1784, October.
    4. German Bernhart & Jan-Frederik Mai, 2016. "On the impact of a scrip dividend on an equity forward," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 3(04), pages 1-16, December.
    5. Paolo Angelis & Roberto Marchis & Antonio L. Martire & Emilio Russo, 2022. "A flexible lattice framework for valuing options on assets paying discrete dividends and variable annuities embedding GMWB riders," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 45(1), pages 415-446, June.

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