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Mark B. Shackleton

Citations

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

Working papers

  1. Robert J. Shiller & Rafal M. Wojakowski & M. Shahid Ebrahim & Mark B. Shackleton, 2017. "Continuous Workout Mortgages: Efficient Pricing and Systemic Implications," Cowles Foundation Discussion Papers 2116, Cowles Foundation for Research in Economics, Yale University.

    Cited by:

    1. Yerkin Kitapbayev & Scott Robertson, 2020. "Mortgage Contracts and Underwater Default," Papers 2005.03554, arXiv.org, revised May 2022.
    2. Samit Ahlawat, 2019. "Evaluation of Mortgage Default Characteristics Using Fannie Mae’s Loan Performance Data," The Journal of Real Estate Finance and Economics, Springer, vol. 59(4), pages 589-616, November.

  2. Xi Fu & Eser Arisoy & Mark Shackleton & Mehmet Umutlu, 2016. "Option-Implied Volatility Measures and Stock Return Predictability," Post-Print hal-01484672, HAL.

    Cited by:

    1. Matteo Michielon & Asma Khedher & Peter Spreij, 2021. "Liquidity-free implied volatilities: an approach using conic finance," Papers 2110.11718, arXiv.org.
    2. Umutlu, Mehmet & Bengitöz, Pelin, 2020. "The cross-section of industry equity returns and global tactical asset allocation across regions and industries," International Review of Financial Analysis, Elsevier, vol. 72(C).
    3. Elyas Elyasiani & Luca Gambarelli & Silvia Muzzioli, 2015. "Towards a skewness index for the Italian stock market," Department of Economics 0064, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    4. Kristjanpoller, Werner & Nekhili, Ramzi & Bouri, Elie, 2024. "Blockchain ETFs and the cryptocurrency and Nasdaq markets: Multifractal and asymmetric cross-correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).
    5. 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. Nikolaos Voukelatos & Thanos Verousis, 2019. "Option‐implied information and stock herding," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 1429-1442, October.

  3. Robert J. Shiller & Rafal M. Wojakowski & M. Shahid Ebrahim & Mark B. Shackleton, 2011. "Continuous Workout Mortgages," NBER Working Papers 17007, National Bureau of Economic Research, Inc.

    Cited by:

    1. Yerkin Kitapbayev & Scott Robertson, 2020. "Mortgage Contracts and Underwater Default," Papers 2005.03554, arXiv.org, revised May 2022.
    2. Samit Ahlawat, 2019. "Evaluation of Mortgage Default Characteristics Using Fannie Mae’s Loan Performance Data," The Journal of Real Estate Finance and Economics, Springer, vol. 59(4), pages 589-616, November.
    3. John Linarelli, 2020. "Debt in just societies: A general framework for regulating credit," Regulation & Governance, John Wiley & Sons, vol. 14(3), pages 409-427, July.
    4. John Y. Campbell, 2013. "Mortgage Market Design," Review of Finance, European Finance Association, vol. 17(1), pages 1-33.
    5. Christophe André, 2016. "Household debt in OECD countries: Stylised facts and policy issues," OECD Economics Department Working Papers 1277, OECD Publishing.

Articles

  1. Shackleton, Mark & Yan, Jiali & Yao, Yaqiong, 2022. "What drives a firm's ES performance? Evidence from stock returns," Journal of Banking & Finance, Elsevier, vol. 136(C).

    Cited by:

    1. Agoraki, Maria-Eleni K. & Aslanidis, Nektarios & Kouretas, Georgios P., 2023. "How has COVID-19 affected the performance of green investment funds?," Journal of International Money and Finance, Elsevier, vol. 131(C).
    2. Mishra, Geeti & Patro, Archana & Tiwari, Aviral Kumar, 2024. "Does climate governance moderate the relationship between ESG reporting and firm value? Empirical evidence from India," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 920-941.
    3. Alves, Carlos Francisco & Meneses, Lilian Lima, 2024. "ESG scores and debt costs: Exploring indebtedness, agency costs, and financial system impact," International Review of Financial Analysis, Elsevier, vol. 94(C).
    4. Fiorillo, Paolo & Meles, Antonio & Pellegrino, Luigi Raffaele & Verdoliva, Vincenzo, 2024. "Geopolitical risk and stock price crash risk: The mitigating role of ESG performance," International Review of Financial Analysis, Elsevier, vol. 91(C).

  2. Mark Shackleton & Jiali Yan & Yaqiong Yao, 2020. "NAV inflation and impact on performance in China," European Financial Management, European Financial Management Association, vol. 26(1), pages 118-142, January.

    Cited by:

    1. Spyros Papathanasiou & Dimitris Kenourgios & Drosos Koutsokostas, 2024. "Do ESG fund managers pump and dump the stocks in their portfolios? European evidence," Journal of Asset Management, Palgrave Macmillan, vol. 25(3), pages 245-260, May.
    2. Jiang, Christine & Wang, Xianzhen, 2024. "Portfolio pumping and dumping among Chinese mutual fund companies," Journal of Banking & Finance, Elsevier, vol. 162(C).

  3. Shiller, Robert J. & Wojakowski, Rafal M. & Ebrahim, M. Shahid & Shackleton, Mark B., 2019. "Continuous Workout Mortgages: Efficient pricing and systemic implications," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 244-274.
    See citations under working paper version above.
  4. Wojakowski, Rafal M. & Ebrahim, M. Shahid & Shackleton, Mark B., 2016. "Reducing the impact of real estate foreclosures with Amortizing Participation Mortgages," Journal of Banking & Finance, Elsevier, vol. 71(C), pages 62-74.

    Cited by:

    1. Yung-Tsung Lee & Tianxiang Shi, 2022. "Valuation of Reverse Mortgages with Surrender: A Utility Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 65(4), pages 593-621, November.
    2. Shi, Tianxiang & Lee, Yung-Tsung, 2021. "Prepayment risk in reverse mortgages: An intensity-governed surrender model," Insurance: Mathematics and Economics, Elsevier, vol. 98(C), pages 68-82.
    3. Lukman Hanif Arbi, 2021. "A Contract Theory Approach to Islamic Financial Securities with an Application to Diminishing Mushārakah," JRFM, MDPI, vol. 14(1), pages 1-12, January.
    4. Li-Fei Huang, 2018. "Using App Inventor to provide the amortization schedule and the sinking fund schedule," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 5(04), pages 1-9, December.

  5. Xi Fu & Matteo Sandri & Mark B. Shackleton, 2016. "Asymmetric Effects of Volatility Risk on Stock Returns: Evidence from VIX and VIX Futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(11), pages 1029-1056, November.

    Cited by:

    1. Bevilacqua, Mattia & Morelli, David & Tunaru, Radu, 2019. "The determinants of the model-free positive and negative volatilities," Journal of International Money and Finance, Elsevier, vol. 92(C), pages 1-24.
    2. Bu, Ruijun & Fu, Xi & Jawadi, Fredj, 2019. "Does the volatility of volatility risk forecast future stock returns?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 16-36.
    3. Chun, Dohyun & Cho, Hoon & Ryu, Doojin, 2023. "Discovering the drivers of stock market volatility in a data-rich world," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 82(C).
    4. Hikmet Akyol & Selim Basar, 2024. "Empirical Analysis of Turkish Banking Sector Institutional and Macroeconomic Determinants of Risks," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 73(74-1), pages 59-98, June.
    5. Zhu, Fangfei & Zhu, Yabei & Jin, Xuejun & Luo, Xingguo, 2018. "Do spillover effects between crude oil and natural gas markets disappear? Evidence from option markets," Finance Research Letters, Elsevier, vol. 24(C), pages 25-33.
    6. Chun, Dohyun & Cho, Hoon & Ryu, Doojin, 2019. "Forecasting the KOSPI200 spot volatility using various volatility measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 156-166.

  6. Umutlu, Mehmet & Shackleton, Mark B., 2015. "Stock-return volatility and daily equity trading by investor groups in Korea," Pacific-Basin Finance Journal, Elsevier, vol. 34(C), pages 43-70.

    Cited by:

    1. Walid M.A. Ahmed, 2016. "Cross-border equity flows and market volatility: the case of Qatar Exchange," International Journal of Emerging Markets, Emerald Group Publishing Limited, vol. 11(3), pages 395-418, July.
    2. Vo, Xuan Vinh, 2017. "Trading of foreign investors and stock returns in an emerging market - Evidence from Vietnam," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 88-93.
    3. Pramod Kumar Naik & Imlak Shaikh & Toan Luu Duc Huynh, 2022. "Institutional investment activities and stock market volatility amid COVID-19 in India," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 35(1), pages 1542-1560, December.
    4. Deniz ikizlerli, 2020. "Institutional investors and stock market volatility. Evidence from Korea," Applied Economics Letters, Taylor & Francis Journals, vol. 27(6), pages 473-476, March.
    5. Guglielmo Maria Caporale & Menelaos Karanasos & Stavroula Yfanti & Aris Kartsaklas, 2021. "Investors' trading behaviour and stock market volatility during crisis periods: A dual long‐memory model for the Korean Stock Exchange," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4441-4461, July.
    6. Naufa, Ahmad Maulin & Lantara, I Wayan Nuka & Lau, Wee-Yeap, 2019. "The impact of foreign ownership on return volatility, volume, and stock risks: Evidence from ASEAN countries," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 221-235.
    7. Yamani, Ehab, 2023. "Return–volume nexus in financial markets: A survey of research," Research in International Business and Finance, Elsevier, vol. 65(C).
    8. Boubekeur Baba & Guven Sevil, 2020. "The behavior of stock market prices throughout the episodes of capital inflows," Papers 2008.13472, arXiv.org.
    9. Ahmed, Walid M.A., 2017. "The impact of foreign equity flows on market volatility during politically tranquil and turbulent times: The Egyptian experience," Research in International Business and Finance, Elsevier, vol. 40(C), pages 61-77.
    10. Chung, Chune Young & Wang, Kainan, 2016. "The impact of individual investor trading on information asymmetry in the Korean stock market," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 472-484.

  7. Gilder, Dudley & Shackleton, Mark B. & Taylor, Stephen J., 2014. "Cojumps in stock prices: Empirical evidence," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 443-459.

    Cited by:

    1. Audrino, Francesco & Fengler, Matthias, 2013. "Are classical option pricing models consistent with observed option second-order moments? Evidence from high-frequency data," Economics Working Paper Series 1311, University of St. Gallen, School of Economics and Political Science.
    2. Lian, Yu-Min & Chen, Jun-Home & Liao, Szu-Lang, 2021. "Cojump risks and their impacts on option pricing," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 399-410.
    3. Chan, Kam Fong & Bowman, Robert G. & Neely, Christopher J., 2017. "Systematic cojumps, market component portfolios and scheduled macroeconomic announcements," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 43-58.
    4. Barunik, Jozef & Vacha, Lukas, 2018. "Do co-jumps impact correlations in currency markets?," Journal of Financial Markets, Elsevier, vol. 37(C), pages 97-119.
    5. Li, Chenxing & Maheu, John M, 2020. "A Multivariate GARCH-Jump Mixture Model," MPRA Paper 104770, University Library of Munich, Germany.
    6. Fengler, Matthias R. & Gisler, Katja I. M., 2014. "A variance spillover analysis without covariances: what do we miss?," Economics Working Paper Series 1409, University of St. Gallen, School of Economics and Political Science.
    7. LUPU, Radu & MATEESCU, Alexandra, 2016. "Systemic Risk And Cojumps In High Frequency Data," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 20(4), pages 6-16.
    8. Li, Yifan & Nolte, Ingmar & Vasios, Michalis & Voev, Valeri & Xu, Qi, 2022. "Weighted Least Squares Realized Covariation Estimation," Journal of Banking & Finance, Elsevier, vol. 137(C).
    9. Ding, Yi & Li, Yingying & Liu, Guoli & Zheng, Xinghua, 2024. "Stock co-jump networks," Journal of Econometrics, Elsevier, vol. 239(2).
    10. Tsai, Ping Chen & Eom, Cheoljun & Wang, Chou Wen, 2024. "State-dependent intra-day volatility pattern and its impact on price jump detection - Evidence from international equity indices," International Review of Financial Analysis, Elsevier, vol. 95(PB).
    11. Liu, Jing & Ma, Feng & Yang, Ke & Zhang, Yaojie, 2018. "Forecasting the oil futures price volatility: Large jumps and small jumps," Energy Economics, Elsevier, vol. 72(C), pages 321-330.
    12. Lian, Yu-Min & Chen, Jun-Home, 2020. "Joint dynamic modeling and option pricing in incomplete derivative-security market," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    13. Clements, Adam & Liao, Yin, 2017. "Forecasting the variance of stock index returns using jumps and cojumps," International Journal of Forecasting, Elsevier, vol. 33(3), pages 729-742.
    14. Lian, Yu-Min & Chen, Jun-Home & Liao, Szu-Lang, 2024. "Pricing derivatives on foreign assets using Markov-modulated cojump-diffusion dynamics," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 503-519.
    15. Yao, Wenying & Tian, Jing, 2015. "The role of intra-day volatility pattern in jump detection: empirical evidence on how financial markets respond to macroeconomic news announcements," Working Papers 2015-05, University of Tasmania, Tasmanian School of Business and Economics.
    16. Kshatriya, Saranya & Prasanna, Krishna, 2021. "Jump Interdependencies: Stochastic linkages among international stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    17. Ye, Wuyi & Xia, Wenjing & Wu, Bin & Chen, Pengzhan, 2022. "Using implied volatility jumps for realized volatility forecasting: Evidence from the Chinese market," International Review of Financial Analysis, Elsevier, vol. 83(C).
    18. Giacomo Bormetti & Lucio Maria Calcagnile & Michele Treccani & Fulvio Corsi & Stefano Marmi & Fabrizio Lillo, 2015. "Modelling systemic price cojumps with Hawkes factor models," Quantitative Finance, Taylor & Francis Journals, vol. 15(7), pages 1137-1156, July.
    19. Bu, Ruijun & Hizmeri, Rodrigo & Izzeldin, Marwan & Murphy, Anthony & Tsionas, Mike, 2023. "The contribution of jump signs and activity to forecasting stock price volatility," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 144-164.
    20. Caporin, Massimiliano & Kolokolov, Aleksey & Renò, Roberto, 2014. "Multi-jumps," MPRA Paper 58175, University Library of Munich, Germany.
    21. Piyachart Phiromswad & Pattanaporn Chatjuthamard & Sirimon Treepongkaruna & Sabin Srivannaboon, 2021. "Jumps and Cojumps analyses of major and minor cryptocurrencies," PLOS ONE, Public Library of Science, vol. 16(2), pages 1-9, February.
    22. Giacomo Bormetti & Lucio Maria Calcagnile & Michele Treccani & Fulvio Corsi & Stefano Marmi & Fabrizio Lillo, 2013. "Modelling systemic price cojumps with Hawkes factor models," Papers 1301.6141, arXiv.org, revised Mar 2013.
    23. Pollastri, Alessandro & Rodrigues, Paulo & Schlag, Christian & Seeger, Norman J., 2023. "A jumping index of jumping stocks? An MCMC analysis of continuous-time models for individual stocks," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 322-341.
    24. Imane El Ouadghiri, 2015. "Heterogeneity in Macroeconomic News Expectations: A disaggregate level analysis," EconomiX Working Papers 2015-17, University of Paris Nanterre, EconomiX.
    25. Jan Novotný & Giovanni Urga, 2018. "Testing for Co-jumps in Financial Markets," Journal of Financial Econometrics, Oxford University Press, vol. 16(1), pages 118-128.
    26. Dumitru, Ana-Maria & Urga, Giovanni, 2016. "Jumps and Information Asymmetry in the US Treasury Market," EconStor Preprints 130148, ZBW - Leibniz Information Centre for Economics.
    27. Caporin, Massimiliano & Kolokolov, Alexey & Renò, Roberto, 2016. "Systemic co-jumps," SAFE Working Paper Series 149, Leibniz Institute for Financial Research SAFE.
    28. Bouri, Elie & Roubaud, David & Shahzad, Syed Jawad Hussain, 2020. "Do Bitcoin and other cryptocurrencies jump together?," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 396-409.
    29. Laurini, Márcio Poletti & Mauad, Roberto Baltieri, 2015. "A common jump factor stochastic volatility model," Finance Research Letters, Elsevier, vol. 12(C), pages 2-10.
    30. Lian, Yu-Min & Chen, Jun-Home, 2024. "Pricing vulnerable options under cross-asset markov-modulated jump-diffusion dynamics," International Review of Economics & Finance, Elsevier, vol. 94(C).
    31. Gnabo, Jean-Yves & Hvozdyk, Lyudmyla & Lahaye, Jérôme, 2014. "System-wide tail comovements: A bootstrap test for cojump identification on the S&P 500, US bonds and currencies," Journal of International Money and Finance, Elsevier, vol. 48(PA), pages 147-174.
    32. Deniz Erdemlioglu & Christopher J. Neely & Xiye Yang, 2023. "Systemic Tail Risk: High-Frequency Measurement, Evidence and Implications," Working Papers 2023-016, Federal Reserve Bank of St. Louis.
    33. Paolella, Marc S. & Polak, Paweł, 2015. "COMFORT: A common market factor non-Gaussian returns model," Journal of Econometrics, Elsevier, vol. 187(2), pages 593-605.
    34. Dinesh Gajurel & Mardi Dungey & Wenying Yao & Nagaratnam Jeyasreedharan, 2020. "Jump Risk in the US Financial Sector," The Economic Record, The Economic Society of Australia, vol. 96(314), pages 331-349, September.
    35. Kam Fong Chan & Phil Gray & Zheyao Pan, 2021. "The profitability of trading on large Lévy jumps," International Review of Finance, International Review of Finance Ltd., vol. 21(2), pages 627-635, June.
    36. Omura, Akihiro & Li, Bin & Chung, Richard & Todorova, Neda, 2018. "Convenience yield, realised volatility and jumps: Evidence from non-ferrous metals," Economic Modelling, Elsevier, vol. 70(C), pages 496-510.
    37. Song, Shijia & Li, Handong, 2023. "Is a co-jump in prices a sparse jump?," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    38. Lam, Clifford & Feng, Phoenix, 2018. "A nonparametric eigenvalue-regularized integrated covariance matrix estimator for asset return data," LSE Research Online Documents on Economics 88375, London School of Economics and Political Science, LSE Library.
    39. Lam, Clifford & Feng, Phoenix, 2018. "A nonparametric eigenvalue-regularized integrated covariance matrix estimator for asset return data," Journal of Econometrics, Elsevier, vol. 206(1), pages 226-257.
    40. Guo, Yangli & Li, Pan & Wu, Hanlin, 2023. "Jumps in the Chinese crude oil futures volatility forecasting: New evidence," Energy Economics, Elsevier, vol. 126(C).
    41. Wenying Yao & Mardi Dungey & Vitali Alexeev, 2020. "Modelling Financial Contagion Using High Frequency Data," The Economic Record, The Economic Society of Australia, vol. 96(314), pages 314-330, September.
    42. Xiao, Xiao & Zhou, Chen, 2018. "The decomposition of jump risks in individual stock returns," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 207-228.
    43. Jeon, Yoontae & McCurdy, Thomas H. & Zhao, Xiaofei, 2022. "News as sources of jumps in stock returns: Evidence from 21 million news articles for 9000 companies," Journal of Financial Economics, Elsevier, vol. 145(2), pages 1-17.
    44. Zhang, Lei & Bouri, Elie & Chen, Yan, 2023. "Co-jump dynamicity in the cryptocurrency market: A network modelling perspective," Finance Research Letters, Elsevier, vol. 58(PB).
    45. Yan, Han & Liu, Bin & Zhu, Xingting & Wu, Yan, 2024. "Systemic risk monitoring model from the perspective of public information arrival," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    46. Elie Bouri, 2019. "The Effect of Jumps in the Crude Oil Market on the Sovereign Risks of Major Oil Exporters," Risks, MDPI, vol. 7(4), pages 1-15, December.
    47. Lucio Maria Calcagnile & Giacomo Bormetti & Michele Treccani & Stefano Marmi & Fabrizio Lillo, 2015. "Collective synchronization and high frequency systemic instabilities in financial markets," Papers 1505.00704, arXiv.org.
    48. Imane El Ouadghiri, 2015. "Heterogeneity in Macroeconomic News Expectations: A disaggregate level analysis," Working Papers hal-04141409, HAL.
    49. Chen, Yixiang & Ma, Feng & Zhang, Yaojie, 2019. "Good, bad cojumps and volatility forecasting: New evidence from crude oil and the U.S. stock markets," Energy Economics, Elsevier, vol. 81(C), pages 52-62.

  8. Rohit Sonika & Nicholas F. Carline & Mark B. Shackleton, 2014. "The Option and Decision to Repurchase Stock," Financial Management, Financial Management Association International, vol. 43(4), pages 833-855, December.

    Cited by:

    1. Sonika, Rohit & Shackleton, Mark B., 2020. "Buyback behaviour and the option funding hypothesis," Journal of Banking & Finance, Elsevier, vol. 114(C).

  9. Shiller, Robert J. & Wojakowski, Rafał M. & Ebrahim, M. Shahid & Shackleton, Mark B., 2013. "Mitigating financial fragility with Continuous Workout Mortgages," Journal of Economic Behavior & Organization, Elsevier, vol. 85(C), pages 269-285.

    Cited by:

    1. Robert J. Shiller & Rafal M. Wojakowski & M. Shahid Ebrahim & Mark B. Shackleton, 2017. "Continuous Workout Mortgages: Efficient Pricing and Systemic Implications," Cowles Foundation Discussion Papers 2116, Cowles Foundation for Research in Economics, Yale University.
    2. Poitras, Geoffrey & Zanotti, Giovanna, 2016. "Mortgage contract design and systemic risk immunization," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 320-331.
    3. Robert J. Shiller, 2014. "Speculative Asset Prices (Nobel Prize Lecture)," Cowles Foundation Discussion Papers 1936, Cowles Foundation for Research in Economics, Yale University.
    4. Yerkin Kitapbayev & Scott Robertson, 2020. "Mortgage Contracts and Underwater Default," Papers 2005.03554, arXiv.org, revised May 2022.
    5. John Linarelli, 2020. "Debt in just societies: A general framework for regulating credit," Regulation & Governance, John Wiley & Sons, vol. 14(3), pages 409-427, July.
    6. Shiller, Robert J., 2013. "Speculative Asset Prices," Nobel Prize in Economics documents 2013-6, Nobel Prize Committee.
    7. Benetton, Matteo & Bracke, Philippe & Cocco, João F & Garbarino, Nicola, 2019. "Housing consumption and investment:evidence from shared equity mortgages," Bank of England working papers 790, Bank of England.
    8. Geoffrey Poitras & Giovanna Zanotti, 2018. "Housing Market Bubbles and Mortgage Contract Design: Implications for Mortgage Lenders and Households," JRFM, MDPI, vol. 11(3), pages 1-18, July.
    9. Hayat Khan, 2015. "Some Implications of Debt versus Equity-Based Financing in the Backdrop of Financial Crises بعض آثار الديون مقابل التمويل القائم على الإنصاف في خلفية الأزمات المالية," Journal of King Abdulaziz University: Islamic Economics, King Abdulaziz University, Islamic Economics Institute., vol. 28(1), pages 165-180, January.
    10. Wojakowski, Rafal M. & Ebrahim, M. Shahid & Shackleton, Mark B., 2016. "Reducing the impact of real estate foreclosures with Amortizing Participation Mortgages," Journal of Banking & Finance, Elsevier, vol. 71(C), pages 62-74.
    11. Karamon, Kadiri & McManus, Douglas & Yannopoulos, Elias, 2016. "Spillover effects of continuous forbearance mortgages," Journal of Economics and Business, Elsevier, vol. 84(C), pages 95-108.
    12. Shiller, Robert J., 2017. "Economic risks associated with deep change in technology, and their mitigation," Journal of Policy Modeling, Elsevier, vol. 39(4), pages 616-624.
    13. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.

  10. Argyro Panaretou & Mark B. Shackleton & Paul A Taylor, 2013. "Corporate Risk Management and Hedge Accounting," Contemporary Accounting Research, John Wiley & Sons, vol. 30(1), pages 116-139, March.

    Cited by:

    1. Jatinder Pal Singh, 2017. "Hedge accounting under IFRS 9: an analysis of reforms," The Audit Financiar journal, Chamber of Financial Auditors of Romania, vol. 15(145), pages 103-103, February.
    2. Thomas D. Steffen, 2022. "The Information Asymmetry Effects of Expanded Disclosures About Derivative and Hedging Activities," Management Science, INFORMS, vol. 68(8), pages 6298-6325, August.
    3. Nevi Danila & Chia-Hsing Huang, 2016. "The determinants of exchange rate risk management in developing countries: evidence from Indonesia," Afro-Asian Journal of Finance and Accounting, Inderscience Enterprises Ltd, vol. 6(1), pages 53-67.
    4. Dömötör, Barbara & Bihary, Zsolt, 2018. "Menedzserösztönzők hatása a vállalati fedezésre [Manager incentives-based model of corporate hedging]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 701-710.
    5. Harakeh, Mostafa & Lee, Edward & Walker, Martin, 2019. "The effect of information shocks on dividend payout and dividend value relevance," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 82-96.
    6. Brigitte Eierle & Sven Hartlieb & Andreas Kress & Francesco Mazzi, 2021. "Hedge Accounting and Firms’ Future Investment Spending," Working Papers - Business wp2021_01.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    7. Jatinder Pal Singh, 2018. "On hedge effectiveness assessment under IFRS 9," The Audit Financiar journal, Chamber of Financial Auditors of Romania, vol. 16(149), pages 157-157, February.
    8. Solomon Opare & Muhammad Nurul Houqe & Tony van Zijl, 2021. "Meta‐analysis of the Impact of Adoption of IFRS on Financial Reporting Comparability, Market Liquidity, and Cost of Capital," Abacus, Accounting Foundation, University of Sydney, vol. 57(3), pages 502-556, September.
    9. Campbell, John L. & Mauler, Landon M. & Pierce, Spencer R., 2019. "A review of derivatives research in accounting and suggestions for future work," Journal of Accounting Literature, Elsevier, vol. 42(C), pages 44-60.
    10. J. P. Singh, 2019. "Hedge Accounting: An Auditor’s Perspective," The Audit Financiar journal, Chamber of Financial Auditors of Romania, vol. 17(153), pages 106-106.

  11. Shackleton, Mark B. & Voukelatos, Nikolaos, 2013. "Hedging efficiency in the Greek options market before and after the financial crisis of 2008," Journal of Multinational Financial Management, Elsevier, vol. 23(1), pages 1-18.

    Cited by:

    1. Antonia Gkergki, 2020. "The relationship between energy consumption and economic growth: New evidence from Greece," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2020(2), pages 131-153.

  12. Andrianos E. Tsekrekos & Mark B. Shackleton & Rafał Wojakowski, 2012. "Evaluating Natural Resource Investments under Different Model Dynamics: Managerial Insights," European Financial Management, European Financial Management Association, vol. 18(4), pages 543-575, September.

    Cited by:

    1. Sebastian Maier, 2021. "Re-evaluating natural resource investments under uncertainty: An alternative to limited traditional approaches," Annals of Operations Research, Springer, vol. 299(1), pages 907-937, April.
    2. Abdullah Almansour and Margaret Insley, 2016. "The Impact of Stochastic Extraction Cost on the Value of an Exhaustible Resource: An Application to the Alberta Oil Sands," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    3. Roger Adkins & Dean Paxson, 2014. "Stochastic Equipment Capital Budgeting with Technological Progress," European Financial Management, European Financial Management Association, vol. 20(5), pages 1031-1049, November.
    4. Armstrong, Margaret & Langrené, Nicolas & Petter, Renato & Chen, Wen & Petter, Carlos, 2019. "Accounting for tailings dam failures in the valuation of mining projects," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    5. Savolainen, Jyrki, 2016. "Real options in metal mining project valuation: Review of literature," Resources Policy, Elsevier, vol. 50(C), pages 49-65.
    6. Max F. Schöne & Stefan Spinler, 2017. "A four-factor stochastic volatility model of commodity prices," Review of Derivatives Research, Springer, vol. 20(2), pages 135-165, July.
    7. Wenqing Zhang & Prasad Padmanabhan & Chia-Hsing Huang, 2015. "Sequential capital investment decision making under extreme cash fl ow situations: evidence using Monte Carlo simulation," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(5), pages 877-900, October.
    8. Juri Hinz & Tanya Tarnopolskaya & Jeremy Yee, 2020. "Efficient algorithms of pathwise dynamic programming for decision optimization in mining operations," Annals of Operations Research, Springer, vol. 286(1), pages 583-615, March.
    9. Djerry C. Tandja M. & Gabriel J. Power & Josée Bastien, 2018. "Real Option Valuation in a Gollier/Weitzman World: The Effect of Long-Run Discount Rate Uncertainty," The Energy Journal, , vol. 39(5), pages 21-54, September.
    10. Cortazar, Gonzalo & Naranjo, Lorenzo & Sainz, Felipe, 2021. "Optimal decision policy for real options under general Markovian dynamics," European Journal of Operational Research, Elsevier, vol. 288(2), pages 634-647.

  13. Aretz, Kevin & Shackleton, Mark B., 2011. "Omitted debt risk, financial distress and the cross-section of expected equity returns," Journal of Banking & Finance, Elsevier, vol. 35(5), pages 1213-1227, May.

    Cited by:

    1. Zhang, Andrew Jianzhong, 2012. "Distress risk premia in expected stock and bond returns," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 225-238.

  14. Ebrahim, M. Shahid & Shackleton, Mark B. & Wojakowski, Rafal M., 2011. "Participating mortgages and the efficiency of financial intermediation," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 3042-3054, November.

    Cited by:

    1. Shiller, Robert J. & Wojakowski, Rafał M. & Ebrahim, M. Shahid & Shackleton, Mark B., 2013. "Mitigating financial fragility with Continuous Workout Mortgages," Journal of Economic Behavior & Organization, Elsevier, vol. 85(C), pages 269-285.
    2. Shahid Ebrahim, M. & Hussain, Sikandar, 2010. "Financial development and asset valuation: The special case of real estate," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 150-162, January.
    3. Varli, Yusuf & Yildirim, Yildiray, 2015. "Default and prepayment modelling in participating mortgages," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 81-88.
    4. Lukman Hanif Arbi, 2021. "A Contract Theory Approach to Islamic Financial Securities with an Application to Diminishing Mushārakah," JRFM, MDPI, vol. 14(1), pages 1-12, January.
    5. Wojakowski, Rafal M. & Ebrahim, M. Shahid & Shackleton, Mark B., 2016. "Reducing the impact of real estate foreclosures with Amortizing Participation Mortgages," Journal of Banking & Finance, Elsevier, vol. 71(C), pages 62-74.
    6. Alam I. Asadov & Mansor H. Ibrahim, 2018. "Theoretical Impact Of Enhanced Musharakah Mutanaqisah Home Financing On Real Estate Prices," Journal of Islamic Monetary Economics and Finance, Bank Indonesia, vol. 4(1), pages 133-160, August.

  15. Dias, José Carlos & Shackleton, Mark B., 2011. "Hysteresis effects under CIR interest rates," European Journal of Operational Research, Elsevier, vol. 211(3), pages 594-600, June.

    Cited by:

    1. Xu Sun & Yunan Liu, 2021. "Staffing many‐server queues with autoregressive inputs," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(3), pages 312-326, April.
    2. Seiji Harikae & James S. Dyer & Tianyang Wang, 2021. "Valuing Real Options in the Volatile Real World," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 171-189, January.
    3. Tsekrekos, Andrianos E. & Yannacopoulos, Athanasios N., 2016. "Optimal switching decisions under stochastic volatility with fast mean reversion," European Journal of Operational Research, Elsevier, vol. 251(1), pages 148-157.
    4. Alvarez, Luis H.R., 2011. "Optimal capital accumulation under price uncertainty and costly reversibility," Journal of Economic Dynamics and Control, Elsevier, vol. 35(10), pages 1769-1788, October.
    5. Detemple, Jérôme & Kitapbayev, Yerkin & Reppen, A. Max, 2024. "Renewable energy investment under stochastic interest rate with regime-switching volatility," Energy Economics, Elsevier, vol. 136(C).
    6. Trigeorgis, Lenos & Tsekrekos, Andrianos E., 2018. "Real Options in Operations Research: A Review," European Journal of Operational Research, Elsevier, vol. 270(1), pages 1-24.
    7. Jostein Tvedt, 2022. "Optimal Entry and Exit Decisions Under Uncertainty and the Impact of Mean Reversion," SN Operations Research Forum, Springer, vol. 3(4), pages 1-21, December.
    8. Dias, José Carlos & Vidal Nunes, João Pedro, 2018. "Universal recurrence algorithm for computing Nuttall, generalized Marcum and incomplete Toronto functions and moments of a noncentral χ2 random variable," European Journal of Operational Research, Elsevier, vol. 265(2), pages 559-570.

  16. San‐Lin Chung & Kunyi Ko & Mark B. Shackleton & Chung‐Ying Yeh, 2010. "Efficient quadrature and node positioning for exotic option valuation," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 30(11), pages 1026-1057, November.

    Cited by:

    1. Vidal Nunes, João Pedro & Ruas, João Pedro & Dias, José Carlos, 2015. "Pricing and static hedging of American-style knock-in options on defaultable stocks," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 343-360.
    2. Jean-Guy Simonato, 2016. "A Simplified Quadrature Approach for Computing Bermudan Option Prices," International Review of Finance, International Review of Finance Ltd., vol. 16(4), pages 647-658, December.

  17. Shackleton, Mark B. & Sødal, Sigbjørn, 2010. "Harvesting and recovery decisions under uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 34(12), pages 2533-2546, December.

    Cited by:

    1. Sims, Charles & Finnoff, David, 2012. "The role of spatial scale in the timing of uncertain environmental policy," Journal of Economic Dynamics and Control, Elsevier, vol. 36(3), pages 369-382.
    2. Alvarez, Luis H.R., 2011. "Optimal capital accumulation under price uncertainty and costly reversibility," Journal of Economic Dynamics and Control, Elsevier, vol. 35(10), pages 1769-1788, October.
    3. Christensen, Sören & Sohr, Tobias, 2020. "A solution technique for Lévy driven long term average impulse control problems," Stochastic Processes and their Applications, Elsevier, vol. 130(12), pages 7303-7337.

  18. Shackleton, Mark B. & Taylor, Stephen J. & Yu, Peng, 2010. "A multi-horizon comparison of density forecasts for the S&P 500 using index returns and option prices," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2678-2693, November.

    Cited by:

    1. Ivanova, Vesela & Puigvert Gutiérrez, Josep Maria, 2014. "Interest rate forecasts, state price densities and risk premium from Euribor options," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 210-223.
    2. Yun, Jaeho, 2014. "Out-of-sample density forecasts with affine jump diffusion models," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 74-87.
    3. Roman V. Ivanov, 2023. "On the Stochastic Volatility in the Generalized Black-Scholes-Merton Model," Risks, MDPI, vol. 11(6), pages 1-23, June.
    4. Andres Trujillo-Barrera & Philip Garcia & Mindy L Mallory, 2018. "Short-term price density forecasts in the lean hog futures market," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(1), pages 121-142.
    5. Ricardo Crisóstomo, 2021. "Estimating real word probabilities: a forward-looking behavioral framework," CNMV Working Papers CNMV Working Papers no. 7, CNMV- Spanish Securities Markets Commission - Research and Statistics Department.
    6. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    7. Belén Nieto & Gonzalo Rubio, 2007. "Measuring time-varying economic fears with consumption-based stochastic discount factors," Economics Working Papers 1029, Department of Economics and Business, Universitat Pompeu Fabra, revised Sep 2007.
    8. Maria Kyriacou & Jose Olmo & Marius Strittmatter, 2021. "Optimal portfolio allocation using option‐implied information," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(2), pages 266-285, February.
    9. Peter Christoffersen & Kris Jacobs & Bo Young Chang, 2011. "Forecasting with Option Implied Information," CREATES Research Papers 2011-46, Department of Economics and Business Economics, Aarhus University.
    10. Kempf, Alexander & Korn, Olaf & Saßning, Sven, 2014. "Portfolio optimization using forward-looking information," CFR Working Papers 11-10 [rev.], University of Cologne, Centre for Financial Research (CFR).
    11. Rompolis, Leonidas S., 2010. "Retrieving risk neutral densities from European option prices based on the principle of maximum entropy," Journal of Empirical Finance, Elsevier, vol. 17(5), pages 918-937, December.
    12. Murad Samsudin, Najmi Ismail & Mohamad, Azhar & Sifat, Imtiaz Mohammad, 2021. "Implied volatility of structured warrants: Emerging market evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 464-479.
    13. Ricardo Crisostomo & Lorena Couso, 2018. "Financial density forecasts: A comprehensive comparison of risk-neutral and historical schemes," Papers 1801.08007, arXiv.org, revised May 2018.
    14. Li, Yifan & Nolte, Ingmar & Pham, Manh Cuong, 2024. "Parametric risk-neutral density estimation via finite lognormal-Weibull mixtures," Journal of Econometrics, Elsevier, vol. 241(2).
    15. Leonidas Tsiaras, 2010. "Dynamic Models of Exchange Rate Dependence Using Option Prices and Historical Returns," CREATES Research Papers 2010-35, Department of Economics and Business Economics, Aarhus University.
    16. Baule, Rainer & Korn, Olaf & Saßning, Sven, 2013. "Which beta is best? On the information content of option-implied betas," CFR Working Papers 13-11, University of Cologne, Centre for Financial Research (CFR).
    17. Hollstein, Fabian & Nguyen, Duc Binh Benno & Prokopczuk, Marcel, 2019. "Asset prices and “the devil(s) you know”," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 20-35.
    18. Takkabutr, Nattapol, 2013. "Option-Implied Risk Aversion Anomalies: Evidence From Japanese Market," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 54(2), pages 137-157, December.
    19. Vladimir Zdorovenin & Jacques Pézier, 2011. "Does Information Content of Option Prices Add Value for Asset Allocation?," ICMA Centre Discussion Papers in Finance icma-dp2011-03, Henley Business School, University of Reading.
    20. Jonas Dovern & Hans Manner, 2018. "Order Invariant Tests for Proper Calibration of Multivariate Density Forecasts," CESifo Working Paper Series 7023, CESifo.
    21. Horatio Cuesdeanu & Jens Carsten Jackwerth, 2018. "The pricing kernel puzzle in forward looking data," Review of Derivatives Research, Springer, vol. 21(3), pages 253-276, October.
    22. Dovern, Jonas & Manner, Hans, 2016. "Robust Evaluation of Multivariate Density Forecasts," VfS Annual Conference 2016 (Augsburg): Demographic Change 145547, Verein für Socialpolitik / German Economic Association.
    23. Algieri, Bernardina & Leccadito, Arturo & Tunaru, Diana, 2021. "Risk premia in electricity derivatives markets," Energy Economics, Elsevier, vol. 100(C).
    24. Rui Fan & Stephen J. Taylor & Matteo Sandri, 2018. "Density forecast comparisons for stock prices, obtained from high‐frequency returns and daily option prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(1), pages 83-103, January.
    25. Alexandridis, Antonios K. & Apergis, Iraklis & Panopoulou, Ekaterini & Voukelatos, Nikolaos, 2023. "Equity premium prediction: The role of information from the options market," Journal of Financial Markets, Elsevier, vol. 64(C).
    26. Rainer Baule & Olaf Korn & Sven Saßning, 2016. "Which Beta Is Best? On the Information Content of Option†implied Betas," European Financial Management, European Financial Management Association, vol. 22(3), pages 450-483, June.
    27. Alexander Kempf & Olaf Korn & Sven Saßning, 2015. "Portfolio Optimization Using Forward-Looking Information," Review of Finance, European Finance Association, vol. 19(1), pages 467-490.
    28. Dovern, Jonas & Manner, Hans, 2016. "Order Invariant Evaluation of Multivariate Density Forecasts," Working Papers 0608, University of Heidelberg, Department of Economics.
    29. Conlon, Thomas & Cotter, John & Kovalenko, Illia & Post, Thierry, 2023. "A financial modeling approach to industry exchange-traded funds selection," Journal of Empirical Finance, Elsevier, vol. 74(C).
    30. de Vincent-Humphreys, Rupert & Noss, Joseph, 2012. "Estimating probability distributions of future asset prices: empirical transformations from option-implied risk-neutral to real-world density functions," Bank of England working papers 455, Bank of England.
    31. Kaeck, Andreas & Rodrigues, Paulo & Seeger, Norman J., 2018. "Model Complexity and Out-of-Sample Performance: Evidence from S&P 500 Index Returns," Journal of Economic Dynamics and Control, Elsevier, vol. 90(C), pages 1-29.
    32. Francisco Alonso & Roberto Blanco & Gonzalo Rubio, 2006. "Option-implied preferences adjustments, density forecasts, and the equity risk premium," Working Papers 0630, Banco de España.

  19. Jose Carlos Dias & Mark Shackleton, 2009. "Durable vs. disposable equipment choice under interest rate uncertainty," The European Journal of Finance, Taylor & Francis Journals, vol. 15(2), pages 157-167.

    Cited by:

    1. Dias, José Carlos & Shackleton, Mark B., 2011. "Hysteresis effects under CIR interest rates," European Journal of Operational Research, Elsevier, vol. 211(3), pages 594-600, June.

  20. Xiaoquan Liu & Mark Shackleton & Stephen Taylor & Xinzhong Xu, 2009. "Empirical pricing kernels obtained from the UK index options market," Applied Economics Letters, Taylor & Francis Journals, vol. 16(10), pages 989-993.

    Cited by:

    1. Barone-Adesi, Giovanni & Fusari, Nicola & Mira, Antonietta & Sala, Carlo, 2020. "Option market trading activity and the estimation of the pricing kernel: A Bayesian approach," Journal of Econometrics, Elsevier, vol. 216(2), pages 430-449.
    2. Horatio Cuesdeanu & Jens Carsten Jackwerth, 2018. "The pricing kernel puzzle: survey and outlook," Annals of Finance, Springer, vol. 14(3), pages 289-329, August.
    3. Audrino, Francesco & Meier, Pirmin, 2012. "Empirical pricing kernel estimation using a functional gradient descent algorithm based on splines," Economics Working Paper Series 1210, University of St. Gallen, School of Economics and Political Science.

  21. Shiuyan Pong & Mark B. Shackleton & Stephen J. Taylor, 2008. "Distinguishing short and long memory volatility specifications," Econometrics Journal, Royal Economic Society, vol. 11(3), pages 617-637, November.

    Cited by:

    1. Galip Gençyürk, 2024. "Volatility Modeling and Spillover: The Turkish and Russian Stock Markets," Istanbul Business Research, Istanbul University Business School, vol. 53(1), pages 81-101, April.
    2. Ruiz Esther & Pérez Ana, 2012. "Maximally Autocorrelated Power Transformations: A Closer Look at the Properties of Stochastic Volatility Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(3), pages 1-33, September.
    3. Julien Chevallier & Benoît Sévi, 2009. "On the realized volatility of the ECX CO2 emissions 2008 futures contract: distribution, dynamics and forecasting," Working Papers halshs-00387286, HAL.
    4. Julien Chevallier & Benoît Sévi, 2009. "On the realized volatility of the ECX CO2 emissions 2008 futures contract: distribution, dynamics and forecasting," Working Papers hal-04140871, HAL.

  22. Hwang, Soosung & Keswani, Aneel & Shackleton, Mark B., 2008. "Surprise vs anticipated information announcements: Are prices affected differently? An investigation in the context of stock splits," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 643-653, May.

    Cited by:

    1. Sanjay Sehgal & Asheesh Pandey, 2013. "An Empirical Investigation of the Relationship between Net Stock Issues and Returns in India," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 38(4), pages 505-515, November.
    2. Walker, Scott, 2021. "Post-split underreaction: The importance of prior split history," International Review of Financial Analysis, Elsevier, vol. 78(C).
    3. Chen, Ka-Hin & Lai, Tze Leung & Liu, Qingfu & Wang, Chuanjie, 2022. "Beyond the blockchain announcement: Signaling credibility and market reaction," International Review of Financial Analysis, Elsevier, vol. 82(C).
    4. Boulland, Romain & Dessaint, Olivier, 2017. "Announcing the announcement," Journal of Banking & Finance, Elsevier, vol. 82(C), pages 59-79.
    5. Chen, Honghui & Nguyen, Hoang Huy & Singal, Vijay, 2011. "The information content of stock splits," Journal of Banking & Finance, Elsevier, vol. 35(9), pages 2454-2467, September.
    6. Kryzanowski, Lawrence & Lazrak, Skander & Rakita, Ian, 2010. "Behavior of liquidity and returns around Canadian seasoned equity offerings," Journal of Banking & Finance, Elsevier, vol. 34(12), pages 2954-2967, December.
    7. Al-Yahyaee, Khamis H. & Pham, Toan M. & Walter, Terry S., 2011. "The information content of cash dividend announcements in a unique environment," Journal of Banking & Finance, Elsevier, vol. 35(3), pages 606-612, March.
    8. Hu, May & Tuilautala, Mataiasi & Kang, Yuni, 2019. "Bandwagon effect: Special dividend payments," International Review of Economics & Finance, Elsevier, vol. 63(C), pages 339-363.
    9. Podgórski Błażej & Pasierbek Krzysztof, 2020. "The “Magic Action” of Stock Splits: Evidence from the Warsaw Stock Exchange 2003–2017," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 28(1), pages 66-80, March.

  23. San–Lin Chung & Mark B. Shackleton, 2007. "Generalised Geske‐‐Johnson Interpolation of Option Prices," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(5‐6), pages 976-1001, June.

    Cited by:

    1. Jia‐Hau Guo & Lung‐Fu Chang, 2020. "Repeated Richardson extrapolation and static hedging of barrier options under the CEV model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(6), pages 974-988, June.

  24. Liu, Xiaoquan & Shackleton, Mark B. & Taylor, Stephen J. & Xu, Xinzhong, 2007. "Closed-form transformations from risk-neutral to real-world distributions," Journal of Banking & Finance, Elsevier, vol. 31(5), pages 1501-1520, May.

    Cited by:

    1. Ivanova, Vesela & Puigvert Gutiérrez, Josep Maria, 2014. "Interest rate forecasts, state price densities and risk premium from Euribor options," Journal of Banking & Finance, Elsevier, vol. 48(C), pages 210-223.
    2. Yun, Jaeho, 2014. "Out-of-sample density forecasts with affine jump diffusion models," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 74-87.
    3. José Renato Haas Ornelas & José Santiago Fajardo Barbachan & Aquiles Rocha de Farias, 2012. "Estimating Relative Risk Aversion, Risk-Neutral and Real-World Densities using Brazilian Real Currency Options," Working Papers Series 269, Central Bank of Brazil, Research Department.
    4. José Renato Haas Ornelas, 2014. "Assessing the Forecast Ability of Risk-Neutral Densities and Real-World Densities from Emerging Markets Currencies," Working Papers Series 370, Central Bank of Brazil, Research Department.
    5. Andres Trujillo-Barrera & Philip Garcia & Mindy L Mallory, 2018. "Short-term price density forecasts in the lean hog futures market," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(1), pages 121-142.
    6. Brennan, Michael J & LIU, XIAOQUAN & Xia, Yihong, 2005. "Option Pricing Kernels and the ICAPM," University of California at Los Angeles, Anderson Graduate School of Management qt4d90p8ss, Anderson Graduate School of Management, UCLA.
    7. Adjemian, Michael K. & Bruno, Valentina G. & Robe, Michel A., 2016. "Forward‐Looking USDA Price Forecasts," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235931, Agricultural and Applied Economics Association.
    8. Maria Kyriacou & Jose Olmo & Marius Strittmatter, 2021. "Optimal portfolio allocation using option‐implied information," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(2), pages 266-285, February.
    9. Peter Christoffersen & Kris Jacobs & Bo Young Chang, 2011. "Forecasting with Option Implied Information," CREATES Research Papers 2011-46, Department of Economics and Business Economics, Aarhus University.
    10. Funke, Michael & Loermann, Julius & Tsang, Andrew, 2017. "The information content in the offshore Renminbi foreign-exchange option market: Analytics and implied USD/CNH densities," BOFIT Discussion Papers 15/2017, Bank of Finland Institute for Emerging Economies (BOFIT).
    11. Rompolis, Leonidas S., 2010. "Retrieving risk neutral densities from European option prices based on the principle of maximum entropy," Journal of Empirical Finance, Elsevier, vol. 17(5), pages 918-937, December.
    12. Shackleton, Mark B. & Taylor, Stephen J. & Yu, Peng, 2010. "A multi-horizon comparison of density forecasts for the S&P 500 using index returns and option prices," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2678-2693, November.
    13. Ricardo Crisostomo & Lorena Couso, 2018. "Financial density forecasts: A comprehensive comparison of risk-neutral and historical schemes," Papers 1801.08007, arXiv.org, revised May 2018.
    14. Xixuan Han & Boyu Wei & Hailiang Yang, 2018. "Index Options And Volatility Derivatives In A Gaussian Random Field Risk-Neutral Density Model," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 21(04), pages 1-41, June.
    15. Li, Yifan & Nolte, Ingmar & Pham, Manh Cuong, 2024. "Parametric risk-neutral density estimation via finite lognormal-Weibull mixtures," Journal of Econometrics, Elsevier, vol. 241(2).
    16. Leonidas Tsiaras, 2010. "Dynamic Models of Exchange Rate Dependence Using Option Prices and Historical Returns," CREATES Research Papers 2010-35, Department of Economics and Business Economics, Aarhus University.
    17. Marcos M. Abe & Eui J. Chang & Benjamin M. Tabak, 2007. "Forecasting Exchange Rate Density using Parametric Models: The Case of Brazil," Working Papers Series 138, Central Bank of Brazil, Research Department.
    18. Fabozzi, Frank J. & Leccadito, Arturo & Tunaru, Radu S., 2014. "Extracting market information from equity options with exponential Lévy processes," Journal of Economic Dynamics and Control, Elsevier, vol. 38(C), pages 125-141.
    19. Cortés, Lina M. & Mora-Valencia, Andrés & Perote, Javier, 2020. "Retrieving the implicit risk neutral density of WTI options with a semi-nonparametric approach," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    20. Bin, Liu, 2015. "A new risk measure and its application in portfolio optimization: The SPP–CVaR approach," Economic Modelling, Elsevier, vol. 51(C), pages 383-390.
    21. Guenter Franke & James Huang & Richard Stapleton, 2006. "Two-dimensional risk-neutral valuation relationships for the pricing of options," Review of Derivatives Research, Springer, vol. 9(3), pages 213-237, November.
    22. Jarno Talponen, 2013. "Matching distributions: Asset pricing with density shape correction," Papers 1312.4227, arXiv.org, revised Mar 2018.
    23. Horatio Cuesdeanu & Jens Carsten Jackwerth, 2018. "The pricing kernel puzzle: survey and outlook," Annals of Finance, Springer, vol. 14(3), pages 289-329, August.
    24. Takkabutr, Nattapol, 2013. "Option-Implied Risk Aversion Anomalies: Evidence From Japanese Market," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 54(2), pages 137-157, December.
    25. Ornelas, José Renato Haas, 2016. "The Forecast Ability of Option-implied Densities from Emerging Markets Currencies," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 36(1), March.
    26. Vladimir Zdorovenin & Jacques Pézier, 2011. "Does Information Content of Option Prices Add Value for Asset Allocation?," ICMA Centre Discussion Papers in Finance icma-dp2011-03, Henley Business School, University of Reading.
    27. Taylor, Stephen J. & Yadav, Pradeep K. & Zhang, Yuanyuan, 2010. "The information content of implied volatilities and model-free volatility expectations: Evidence from options written on individual stocks," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 871-881, April.
    28. Jaqueline Terra Moura Marins, 2020. "Option-Based Risk Aversion Indicators for Predicting Currency Crises in Emerging Markets," Working Papers Series 515, Central Bank of Brazil, Research Department.
    29. Birru, Justin & Figlewski, Stephen, 2012. "Anatomy of a meltdown: The risk neutral density for the S&P 500 in the fall of 2008," Journal of Financial Markets, Elsevier, vol. 15(2), pages 151-180.
    30. Algieri, Bernardina & Leccadito, Arturo & Tunaru, Diana, 2021. "Risk premia in electricity derivatives markets," Energy Economics, Elsevier, vol. 100(C).
    31. Michael Funke & Julius Loermann & Richhild Moessner, 2017. "The discontinuation of the EUR/CHF minimum exchange rate in January 2015: was it expected?," BIS Working Papers 652, Bank for International Settlements.
    32. Leonidas S. Rompolis & Elias Tzavalis, 2010. "Risk Premium Effects On Implied Volatility Regressions," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 33(2), pages 125-151, June.
    33. Josep Puigvert-Gutiérrez & Rupert Vincent-Humphreys, 2012. "A Quantitative Mirror on the Euribor Market Using Implied Probability Density Functions," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 2(1), pages 1-31, June.
    34. Lina M. Cortés & Javier Perote & Andrés Mora-Valencia, 2017. "Implicit probability distribution for WTI options: The Black Scholes vs. the semi-nonparametric approach," Documentos de Trabajo de Valor Público 15923, Universidad EAFIT.
    35. Jean‐François Bégin & Mathieu Boudreault & Mathieu Thériault, 2024. "Leveraging prices from credit and equity option markets for portfolio risk management," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(1), pages 122-147, January.
    36. Alexandros Kostakis & Nikolaos Panigirtzoglou & George Skiadopoulos, 2011. "Market Timing with Option-Implied Distributions: A Forward-Looking Approach," Management Science, INFORMS, vol. 57(7), pages 1231-1249, July.
    37. Duca, Ioana Andreea & Ruxanda, Gheorghe, 2013. "A View on the Risk-Neutral Density Forecasting of the Dax30 Returns," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 101-114, June.
    38. Conlon, Thomas & Cotter, John & Kovalenko, Illia & Post, Thierry, 2023. "A financial modeling approach to industry exchange-traded funds selection," Journal of Empirical Finance, Elsevier, vol. 74(C).
    39. Jaqueline Terra Moura Marins, 2024. "Predictability of Exchange Rate Density Forecasts for Emerging Economies in the Short Run," Working Papers Series 588, Central Bank of Brazil, Research Department.
    40. Liao, Wen Ju & Sung, Hao-Chang, 2020. "Implied risk aversion and pricing kernel in the FTSE 100 index," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    41. de Vincent-Humphreys, Rupert & Noss, Joseph, 2012. "Estimating probability distributions of future asset prices: empirical transformations from option-implied risk-neutral to real-world density functions," Bank of England working papers 455, Bank of England.
    42. Francisco Alonso & Roberto Blanco & Gonzalo Rubio, 2006. "Option-implied preferences adjustments, density forecasts, and the equity risk premium," Working Papers 0630, Banco de España.
    43. Mr. Jorge A Chan-Lau, 2006. "Market-Based Estimation of Default Probabilities and its Application to Financial Market Surveillance," IMF Working Papers 2006/104, International Monetary Fund.
    44. José Renato Haas Ornelas & Marcelo Yoshio Takami, 2011. "Recovering Risk-Neutral Densities from Brazilian Interest Rate Options," Brazilian Review of Finance, Brazilian Society of Finance, vol. 9(1), pages 9-26.

  25. Shackleton, Mark B. & Wojakowski, Rafal, 2007. "Finite maturity caps and floors on continuous flows," Journal of Economic Dynamics and Control, Elsevier, vol. 31(12), pages 3843-3859, December.

    Cited by:

    1. N. Letifi & Jean-Luc Prigent, 2014. "On the optimality of funding and hiring/firing according to stochastic demand: The role of growth and shutdown options," Post-Print hal-03679708, HAL.
    2. Paxson, Dean & Pereira, Paulo J. & Rodrigues, Artur, 2022. "Investment timing, capacity choice and optimal floors and ceilings," Journal of Economic Dynamics and Control, Elsevier, vol. 139(C).
    3. Ebrahim, M. Shahid & Shackleton, Mark B. & Wojakowski, Rafal M., 2011. "Participating mortgages and the efficiency of financial intermediation," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 3042-3054, November.
    4. Silaghi, Florina & Moraux, Franck, 2022. "Trade credit contracts: Design and regulation," European Journal of Operational Research, Elsevier, vol. 296(3), pages 980-992.
    5. Shiller, Robert J. & Wojakowski, Rafał M. & Ebrahim, M. Shahid & Shackleton, Mark B., 2013. "Mitigating financial fragility with Continuous Workout Mortgages," Journal of Economic Behavior & Organization, Elsevier, vol. 85(C), pages 269-285.
    6. Robert J. Shiller & Rafal M. Wojakowski & M. Shahid Ebrahim & Mark B. Shackleton, 2017. "Continuous Workout Mortgages: Efficient Pricing and Systemic Implications," Cowles Foundation Discussion Papers 2116, Cowles Foundation for Research in Economics, Yale University.
    7. Yerkin Kitapbayev & Scott Robertson, 2020. "Mortgage Contracts and Underwater Default," Papers 2005.03554, arXiv.org, revised May 2022.
    8. Carol Alexander & Xi Chen, 2012. "A General Approach to Real Option Valuation with Applications to Real Estate Investments," ICMA Centre Discussion Papers in Finance icma-dp2012-04, Henley Business School, University of Reading.
    9. Pereira, Paulo J. & Rodrigues, Artur, 2014. "Investment decisions in finite-lived monopolies," Journal of Economic Dynamics and Control, Elsevier, vol. 46(C), pages 219-236.
    10. Alvarez, Luis H.R., 2011. "Optimal capital accumulation under price uncertainty and costly reversibility," Journal of Economic Dynamics and Control, Elsevier, vol. 35(10), pages 1769-1788, October.
    11. Adkins, Roger & Paxson, Dean & Pereira, Paulo J. & Rodrigues, Artur, 2019. "Investment decisions with finite-lived collars," Journal of Economic Dynamics and Control, Elsevier, vol. 103(C), pages 185-204.
    12. Dias, José Carlos & Nunes, João Pedro Vidal & da Silva, Fernando Correia, 2024. "Finite maturity caps and floors on continuous flows under the constant elasticity of variance process," European Journal of Operational Research, Elsevier, vol. 316(1), pages 361-385.
    13. Ferreira, Ricardo M. & Pereira, Paulo J., 2021. "A dynamic model for venture capitalists’ entry–exit investment decisions," European Journal of Operational Research, Elsevier, vol. 290(2), pages 779-789.
    14. Bertrand, Philippe & Prigent, Jean-luc, 2019. "On the optimality of path-dependent structured funds: The cost of standardization," European Journal of Operational Research, Elsevier, vol. 277(1), pages 333-350.
    15. Wojakowski, Rafal M. & Ebrahim, M. Shahid & Shackleton, Mark B., 2016. "Reducing the impact of real estate foreclosures with Amortizing Participation Mortgages," Journal of Banking & Finance, Elsevier, vol. 71(C), pages 62-74.
    16. N. Letifi & J.-L. Prigent, 2014. "On the debt capacity of growth and decay options," Working Papers 2014-391, Department of Research, Ipag Business School.
    17. Barbosa, Luciana & Ferrão, Paulo & Rodrigues, Artur & Sardinha, Alberto, 2018. "Feed-in tariffs with minimum price guarantees and regulatory uncertainty," Energy Economics, Elsevier, vol. 72(C), pages 517-541.
    18. Azevedo, Alcino & Pereira, Paulo J. & Rodrigues, Artur, 2018. "Non-compete covenants, litigation and garden leaves," Journal of Business Research, Elsevier, vol. 88(C), pages 197-211.

  26. Keswani, Aneel & Shackleton, Mark B., 2006. "How real option disinvestment flexibility augments project NPV," European Journal of Operational Research, Elsevier, vol. 168(1), pages 240-252, January.

    Cited by:

    1. T Heikkinen & K Pietola, 2006. "Rural Investment and the Cost of Income Uncertainty," ERSA conference papers ersa06p51, European Regional Science Association.
    2. Pringles, Rolando & Olsina, Fernando & Penizzotto, Franco, 2020. "Valuation of defer and relocation options in photovoltaic generation investments by a stochastic simulation-based method," Renewable Energy, Elsevier, vol. 151(C), pages 846-864.
    3. Petković, Dalibor & Shamshirband, Shahaboddin & Kamsin, Amirrudin & Lee, Malrey & Anicic, Obrad & Nikolić, Vlastimir, 2016. "Survey of the most influential parameters on the wind farm net present value (NPV) by adaptive neuro-fuzzy approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1270-1278.
    4. Brown, T. & Panibratov, A., 2016. "Foreign divestment decisions: A theoretical framework," Working Papers 6450, Graduate School of Management, St. Petersburg State University.
    5. Scandizzo, Pasquale L. & Ventura, Marco, 2010. "Sharing risk through concession contracts," European Journal of Operational Research, Elsevier, vol. 207(1), pages 363-370, November.
    6. E. Brandão, Luiz & Dyer, James S. & Hahn, Warren J., 2012. "Volatility estimation for stochastic project value models," European Journal of Operational Research, Elsevier, vol. 220(3), pages 642-648.
    7. Alexandar Angelus, 2021. "Distributed Renewable Power Generation and Implications for Capacity Investment and Electricity Prices," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4614-4634, December.
    8. Spiros H. Martzoukos & Nayia Pospori & Lenos Trigeorgis, 2024. "Corporate investment decisions with switch flexibility, constraints, and path-dependency," Review of Quantitative Finance and Accounting, Springer, vol. 62(3), pages 1223-1250, April.
    9. Lukas, Elmar & Welling, Andreas, 2017. "Efficient non-cooperative bargaining despite keeping strategic information private," Journal of Corporate Finance, Elsevier, vol. 42(C), pages 287-294.
    10. Heikkinen, T. & Pietola, K., 2009. "Investment and the dynamic cost of income uncertainty: The case of diminishing expectations in agriculture," European Journal of Operational Research, Elsevier, vol. 192(2), pages 634-646, January.
    11. Fleten, Stein-Erik & Haugom, Erik & Pichler, Alois & Ullrich, Carl J., 2020. "Structural estimation of switching costs for peaking power plants," European Journal of Operational Research, Elsevier, vol. 285(1), pages 23-33.
    12. Dias, José Carlos & Nunes, João Pedro Vidal & da Silva, Fernando Correia, 2024. "Finite maturity caps and floors on continuous flows under the constant elasticity of variance process," European Journal of Operational Research, Elsevier, vol. 316(1), pages 361-385.
    13. Vidal Nunes, João Pedro & Ruas, João Pedro & Dias, José Carlos, 2020. "Early exercise boundaries for American-style knock-out options," European Journal of Operational Research, Elsevier, vol. 285(2), pages 753-766.
    14. Davis, Graham A. & Cairns, Robert D., 2017. "The odd notion of “reversible investment”," Journal of Banking & Finance, Elsevier, vol. 81(C), pages 172-180.
    15. Dias, José Carlos & Shackleton, Mark B., 2011. "Hysteresis effects under CIR interest rates," European Journal of Operational Research, Elsevier, vol. 211(3), pages 594-600, June.
    16. Pringles, Rolando & Olsina, Fernando & Garcés, Francisco, 2014. "Designing regulatory frameworks for merchant transmission investments by real options analysis," Energy Policy, Elsevier, vol. 67(C), pages 272-280.
    17. Ortiz, Norma & Jaramillo Zambrano, Carlos & Garay, Urbi & Tellez-Falla, Diego F., 2024. "A new side of deglobalization: Why did US multinational corporations deconsolidate their subsidiaries from Venezuela?," Journal of Business Research, Elsevier, vol. 182(C).
    18. Pareja Vasseur, Julián. DBA & Prada Sánchez, Marcela & Moreno Escobar, Martha, 2019. "Volatilidad en Opciones Reales: Revisión Literaria y un Caso de Aplicación en el Sector Petrolero Colombiano || Real Options Volatility: Literature Review and a Case of Application in the Colombian Oi," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 27(1), pages 136-155, June.
    19. Trigeorgis, Lenos & Tsekrekos, Andrianos E., 2018. "Real Options in Operations Research: A Review," European Journal of Operational Research, Elsevier, vol. 270(1), pages 1-24.
    20. Pablo Salas, 2013. "Literature Review of Energy-Economics Models, Regarding Technological Change and Uncertainty," 4CMR Working Paper Series 003, University of Cambridge, Department of Land Economy, Cambridge Centre for Climate Change Mitigation Research.

  27. Shackleton, Mark B. & Sodal, Sigbjorn, 2005. "Smooth pasting as rate of return equalization," Economics Letters, Elsevier, vol. 89(2), pages 200-206, November.

    Cited by:

    1. Wong, Kit Pong & Yi, Long, 2013. "Irreversibility, mean reversion, and investment timing," Economic Modelling, Elsevier, vol. 30(C), pages 770-775.
    2. Ewald, Christian Oliver & Taub, Bart, 2022. "Real options, risk aversion and markets: A corporate finance perspective," Journal of Corporate Finance, Elsevier, vol. 72(C).
    3. Andrianos Tsekrekos & George Kanoutos, 2013. "Real Options Premia Implied from Recent Transactions in the Greek Real Estate Market," The Journal of Real Estate Finance and Economics, Springer, vol. 47(1), pages 152-168, July.
    4. Castellano, Rosella & Cerqueti, Roy, 2011. "The optimal bid/ask spread in a Specialist System," Economic Modelling, Elsevier, vol. 28(5), pages 2247-2253, September.
    5. Nicola Comincioli & Paolo M. Panteghini & Sergio Vergalli & Paolo Panteghini, 2024. "On the Main Determinants of Start-Up Investment in Developing Countries," CESifo Working Paper Series 11014, CESifo.
    6. Philipp N. Baecker, 2007. "Real Options and Intellectual Property," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-540-48264-2, October.
    7. François, Pascal & Naqvi, Hassan, 2023. "Secured and unsecured debt in creditor-friendly bankruptcy," Journal of Corporate Finance, Elsevier, vol. 80(C).
    8. Alvarez, Luis H.R., 2011. "Optimal capital accumulation under price uncertainty and costly reversibility," Journal of Economic Dynamics and Control, Elsevier, vol. 35(10), pages 1769-1788, October.
    9. Wong, Kit Pong, 2007. "The effect of uncertainty on investment timing in a real options model," Journal of Economic Dynamics and Control, Elsevier, vol. 31(7), pages 2152-2167, July.
    10. Nicola Comincioli & Paolo Panteghini & Sergio Vergalli, 2020. "Debt Shifting and Transfer Pricing in a Volatile World," CESifo Working Paper Series 8807, CESifo.
    11. Pascal François & Sophie Pardo, 2015. "Prepayment risk on callable bonds: theory and test," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 38(2), pages 147-176, October.
    12. Dias, José Carlos & Shackleton, Mark B., 2011. "Hysteresis effects under CIR interest rates," European Journal of Operational Research, Elsevier, vol. 211(3), pages 594-600, June.
    13. Meyer, Elisabeth & Rees, Ray, 2012. "Watchfully waiting: Medical intervention as an optimal investment decision," Journal of Health Economics, Elsevier, vol. 31(2), pages 349-358.
    14. Kenc, Turalay & Driver, Ciaran, 2020. "Leverage, uncertainty and investment decisions," Economics Letters, Elsevier, vol. 190(C).
    15. George W. Blazenko & Andrey D. Pavlov, 2009. "Investment Timing for Dynamic Business Expansion," Financial Management, Financial Management Association International, vol. 38(4), pages 837-860, December.
    16. Nicola Comincioli & Paolo Panteghini & Sergio Vergalli, 2021. "A Welfare Analysis on Start-Up Decisions under Default Risk," CESifo Working Paper Series 9478, CESifo.
    17. Shackleton, Mark B. & Sødal, Sigbjørn, 2010. "Harvesting and recovery decisions under uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 34(12), pages 2533-2546, December.
    18. San–Lin Chung & Mark B. Shackleton, 2007. "Generalised Geske‐‐Johnson Interpolation of Option Prices," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(5‐6), pages 976-1001, June.

  28. Chuang-Chang Chang & San-Lin Chung & Mark Shackleton, 2004. "Pricing options with American-style average reset features," Quantitative Finance, Taylor & Francis Journals, vol. 4(3), pages 292-300.

    Cited by:

    1. Tian-Shyr Dai & Yuh-Yuan Fang & Yuh-Dauh Lyuu, 2005. "Analytics for geometric average trigger reset options," Applied Economics Letters, Taylor & Francis Journals, vol. 12(13), pages 835-840.
    2. Guangming Xue & Bin Qin & Guohe Deng, 2018. "Valuation on an Outside-Reset Option with Multiple Resettable Levels and Dates," Complexity, Hindawi, vol. 2018, pages 1-13, April.

  29. Pong, Shiuyan & Shackleton, Mark B. & Taylor, Stephen J. & Xu, Xinzhong, 2004. "Forecasting currency volatility: A comparison of implied volatilities and AR(FI)MA models," Journal of Banking & Finance, Elsevier, vol. 28(10), pages 2541-2563, October.

    Cited by:

    1. Manabu Asai & Michael McAleer, 2011. "Dynamic Conditional Correlations for Asymmetric Processes," Documentos de Trabajo del ICAE 2011-30, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    2. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2017. "The contribution of jumps to forecasting the density of returns," Post-Print halshs-01442618, HAL.
    3. 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.
    4. N. Antonakakis & J. Darby, 2013. "Forecasting volatility in developing countries' nominal exchange returns," Applied Financial Economics, Taylor & Francis Journals, vol. 23(21), pages 1675-1691, November.
    5. Tim Bollerslev & Uta Kretschmer & Christian Pigorsch & George Tauchen, 2010. "A Discrete-Time Model for Daily S&P500 Returns and Realized Variations: Jumps and Leverage Effects," Working Papers 10-06, Duke University, Department of Economics.
    6. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2020. "The contribution of intraday jumps to forecasting the density of returns," Post-Print halshs-02505861, HAL.
    7. Asai, M. & McAleer, M.J. & Medeiros, M.C., 2010. "Asymmetry and Long Memory in Volatility Modelling," Econometric Institute Research Papers EI 2010-60, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Lai T. Hoang & Dirk G. Baur, 2020. "Forecasting bitcoin volatility: Evidence from the options market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(10), pages 1584-1602, October.
    9. Bent Jesper Christensen & Morten Ø. Nielsen & Thomas Busch, 2008. "The Role Of Implied Volatility In Forecasting Future Realized Volatility And Jumps In Foreign Exchange, Stock, And Bond Markets," Working Paper 1181, Economics Department, Queen's University.
    10. Manabu Asai & Michael McAleer, 2013. "A Fractionally Integrated Wishart Stochastic Volatility Model," Tinbergen Institute Discussion Papers 13-025/III, Tinbergen Institute.
    11. Zhang, Lixia & Luo, Qin & Guo, Xiaozhu & Umar, Muhammad, 2022. "Medium-term and long-term volatility forecasts for EUA futures with country-specific economic policy uncertainty indices," Resources Policy, Elsevier, vol. 77(C).
    12. Stelios Bekiros, 2011. "Exchange Rates and Fundamentals: Co-Movement, Long-Run Relationships and Short-run Dynamics," Economics Working Papers ECO2011/21, European University Institute.
    13. Benavides Guillermo, 2010. "Forecasting Short-Run Inflation Volatility using Futures Prices: An Empirical Analysis from a Value at Risk Perspective," Working Papers 2010-12, Banco de México.
    14. Liao, Yin, 2013. "The benefit of modeling jumps in realized volatility for risk prediction: Evidence from Chinese mainland stocks," Pacific-Basin Finance Journal, Elsevier, vol. 23(C), pages 25-48.
    15. Becker, Ralf & Clements, Adam E. & White, Scott I., 2007. "Does implied volatility provide any information beyond that captured in model-based volatility forecasts?," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2535-2549, August.
    16. Dilip Kumar, 2020. "Value-at-Risk in the Presence of Structural Breaks Using Unbiased Extreme Value Volatility Estimator," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(3), pages 587-610, September.
    17. Shelton Peiris & Manabu Asai & Michael McAleer, 2017. "Estimating and Forecasting Generalized Fractional Long Memory Stochastic Volatility Models," JRFM, MDPI, vol. 10(4), pages 1-16, December.
    18. Maneesoonthorn, Worapree & Martin, Gael M. & Forbes, Catherine S. & Grose, Simone D., 2012. "Probabilistic forecasts of volatility and its risk premia," Journal of Econometrics, Elsevier, vol. 171(2), pages 217-236.
    19. K. Nadarajah & Gael M. Martin & D.S. Poskitt, 2014. "Issues in the Estimation of Mis-Specified Models of Fractionally Integrated Processes," Monash Econometrics and Business Statistics Working Papers 18/14, Monash University, Department of Econometrics and Business Statistics.
    20. Douglas G. Santos & Flavio A. Ziegelmann, 2014. "Volatility Forecasting via MIDAS, HAR and their Combination: An Empirical Comparative Study for IBOVESPA," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(4), pages 284-299, July.
    21. Stelios Bekiros & Massimiliano Marcellino, 2011. "The Multiscale Causal Dynamics of Foreign Exchange Markets," Economics Working Papers ECO2011/23, European University Institute.
    22. Andersen, Torben G. & Bollerslev, Tim & Meddahi, Nour, 2011. "Realized volatility forecasting and market microstructure noise," Journal of Econometrics, Elsevier, vol. 160(1), pages 220-234, January.
    23. Asai, M. & Chang, C-L. & McAleer, M.J., 2017. "Realized Stochastic Volatility with General Asymmetry and Long Memory," Econometric Institute Research Papers TI 2017-038/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    24. Wing Hong Chan & Ranjini Jha & Madhu Kalimipalli, 2009. "The Economic Value Of Using Realized Volatility In Forecasting Future Implied Volatility," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 32(3), pages 231-259, September.
    25. Torben G. Andersen & Tim Bollerslev & Xin Huang, 2007. "A Reduced Form Framework for Modeling Volatility of Speculative Prices based on Realized Variation Measures," CREATES Research Papers 2007-14, Department of Economics and Business Economics, Aarhus University.
    26. Shusheng Ding & Tianxiang Cui & Yongmin Zhang & Jiawei Li, 2021. "Liquidity effects on oil volatility forecasting: From fintech perspective," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-21, November.
    27. Abderrazak Ben Maatoug & Rim Lamouchi & Russell Davidson & Ibrahim Fatnassi, 2018. "Modelling Foreign Exchange Realized Volatility Using High Frequency Data: Long Memory versus Structural Breaks," Post-Print hal-01982032, HAL.
    28. Bonato, Matteo & Cepni, Oguzhan & Gupta, Rangan & Pierdzioch, Christian, 2023. "Climate risks and realized volatility of major commodity currency exchange rates," Journal of Financial Markets, Elsevier, vol. 62(C).
    29. Andersen, Torben G. & Bollerslev, Tim & Francis X. Diebold,, 2003. "Some Like it Smooth, and Some Like it Rough: Untangling Continuous and Jump Components in Measuring, Modeling, and Forecasting Asset Return Volatility," CFS Working Paper Series 2003/35, Center for Financial Studies (CFS).
    30. Thobekile Qabhobho, 2023. "Assessing the Asymmetric Effect of Local Realized Exchange Rate Volatility and Implied Volatilities in Energy Market on Exchange Rate Returns in BRICS," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 231-239, March.
    31. Kumar, Dilip & Maheswaran, S., 2014. "Modeling and forecasting the additive bias corrected extreme value volatility estimator," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 166-176.
    32. Gael M. Martin & Andrew Reidy & Jill Wright, 2009. "Does the option market produce superior forecasts of noise-corrected volatility measures?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(1), pages 77-104.
    33. Asai, M. & McAleer, M.J. & Peiris, S., 2017. "Realized Stochastic Volatility Models with Generalized Gegenbauer Long Memory," Econometric Institute Research Papers EI2017-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    34. Jorge V. Pérez-Rodríguez, 2020. "Another look at the implied and realised volatility relation: a copula-based approach," Risk Management, Palgrave Macmillan, vol. 22(1), pages 38-64, March.
    35. Peter Christoffersen & Kris Jacobs & Bo Young Chang, 2011. "Forecasting with Option Implied Information," CREATES Research Papers 2011-46, Department of Economics and Business Economics, Aarhus University.
    36. Chorro, Christophe & Ielpo, Florian & Sévi, Benoît, 2020. "The contribution of intraday jumps to forecasting the density of returns," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    37. Gabriel Rodríguez & Junior A. Ojeda Cunya & José Carlos Gonzáles Tanaka, 2019. "An empirical note about estimation and forecasting Latin American Forex returns volatility: the role of long memory and random level shifts components," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 18(2), pages 107-123, June.
    38. Ammann, Manuel & Buesser, Ralf, 2013. "Variance risk premiums in foreign exchange markets," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 16-32.
    39. Gael M. Martin & Andrew Reidy & Jill Wright, 2006. "Assessing the Impact of Market Microstructure Noise and Random Jumps on the Relative Forecasting Performance of Option-Implied and Returns-Based Volatility," Monash Econometrics and Business Statistics Working Papers 10/06, Monash University, Department of Econometrics and Business Statistics.
    40. Dimos Kambouroudis & David McMillan & Katerina Tsakou, 2019. "Forecasting Realized Volatility: The role of implied volatility, leverage effect, overnight returns and volatility of realized volatility," Working Papers 2019-03, Swansea University, School of Management.
    41. Wilkens, Sascha & Roder, Klaus, 2006. "The informational content of option-implied distributions: Evidence from the Eurex index and interest rate futures options market," Global Finance Journal, Elsevier, vol. 17(1), pages 50-74, September.
    42. Chen, Ying & Härdle, Wolfgang Karl & Pigorsch, Uta, 2010. "Localized Realized Volatility Modeling," Journal of the American Statistical Association, American Statistical Association, vol. 105(492), pages 1376-1393.
    43. Till Weigt & Bernd Wilfling, 2016. "A new combination approach to reducing forecast errors with an application to volatility forecasting," CQE Working Papers 4616, Center for Quantitative Economics (CQE), University of Muenster.
    44. Martens, Martin & van Dijk, Dick & de Pooter, Michiel, 2009. "Forecasting S&P 500 volatility: Long memory, level shifts, leverage effects, day-of-the-week seasonality, and macroeconomic announcements," International Journal of Forecasting, Elsevier, vol. 25(2), pages 282-303.
    45. Dicle, Mehmet F. & Levendis, John, 2020. "Historic risk and implied volatility," Global Finance Journal, Elsevier, vol. 45(C).
    46. Ralf Becker & Adam Clements & Andrew McClelland, 2008. "The Jump component of S&P 500 volatility and the VIX index," NCER Working Paper Series 24, National Centre for Econometric Research.
    47. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold, 2007. "Roughing It Up: Including Jump Components in the Measurement, Modeling, and Forecasting of Return Volatility," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 701-720, November.
    48. Becker, Ralf & Clements, Adam E. & White, Scott I., 2006. "On the informational efficiency of S&P500 implied volatility," The North American Journal of Economics and Finance, Elsevier, vol. 17(2), pages 139-153, August.
    49. Michiel de Pooter & Martin Martens & Dick van Dijk, 2008. "Predicting the Daily Covariance Matrix for S&P 100 Stocks Using Intraday Data—But Which Frequency to Use?," Econometric Reviews, Taylor & Francis Journals, vol. 27(1-3), pages 199-229.
    50. Chalamandaris, Georgios & Tsekrekos, Andrianos E., 2011. "How important is the term structure in implied volatility surface modeling? Evidence from foreign exchange options," Journal of International Money and Finance, Elsevier, vol. 30(4), pages 623-640, June.
    51. Offer Lieberman & Peter Phillips, 2008. "Refined Inference on Long Memory in Realized Volatility," Econometric Reviews, Taylor & Francis Journals, vol. 27(1-3), pages 254-267.
    52. Peter Christoffersen & Kris Jacobs & Gregory Vainberg, 2007. "Forward-Looking Betas," CREATES Research Papers 2007-39, Department of Economics and Business Economics, Aarhus University.
    53. Ping-Chen Tsai & Chi-Ming Tsai, 2021. "Estimating the proportion of informed and speculative traders in financial markets: evidence from exchange rate," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(3), pages 443-470, July.
    54. Dimos S. Kambouroudis & David G. McMillan & Katerina Tsakou, 2021. "Forecasting realized volatility: The role of implied volatility, leverage effect, overnight returns, and volatility of realized volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(10), pages 1618-1639, October.
    55. Christopher J. Neely, 2004. "Implied volatility from options on gold futures: do statistical forecasts add value or simply paint the lilly?," Working Papers 2003-018, Federal Reserve Bank of St. Louis.
    56. Wang, Xiao-Tian & Wu, Min & Zhou, Ze-Min & Jing, Wei-Shu, 2012. "Pricing European option with transaction costs under the fractional long memory stochastic volatility model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1469-1480.
    57. Rita Laura D’Ecclesia & Daniele Clementi, 2021. "Volatility in the stock market: ANN versus parametric models," Annals of Operations Research, Springer, vol. 299(1), pages 1101-1127, April.
    58. Mendes, Beatriz Vaz de Melo & Accioly, Victor Bello, 2012. "On the dependence structure of realized volatilities," International Review of Financial Analysis, Elsevier, vol. 22(C), pages 1-9.
    59. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2017. "The contribution of jumps to forecasting the density of returns," Documents de travail du Centre d'Economie de la Sorbonne 17006, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    60. Apostolos Kourtis & Raphael N. Markellos & Lazaros Symeonidis, 2016. "An International Comparison of Implied, Realized, and GARCH Volatility Forecasts," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(12), pages 1164-1193, December.
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    62. Lin, Tiantian & Liu, Dehong & Zhang, Lili & Lung, Peter, 2019. "The information content of realized volatility of sector indices in China’s stock market," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 625-640.
    63. Sharma, Prateek & Vipul,, 2016. "Forecasting stock market volatility using Realized GARCH model: International evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 222-230.
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    68. Christian T. Brownlees & Giampiero Gallo, 2007. "Volatility Forecasting Using Explanatory Variables and Focused Selection Criteria," Econometrics Working Papers Archive wp2007_04, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    69. Christian T. Brownlees & Giampiero M. Gallo, 2010. "Comparison of Volatility Measures: a Risk Management Perspective," Journal of Financial Econometrics, Oxford University Press, vol. 8(1), pages 29-56, Winter.
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    71. Corsi, Fulvio & Kretschmer, Uta & Mittnik, Stefan & Pigorsch, Christian, 2005. "The volatility of realized volatility," CFS Working Paper Series 2005/33, Center for Financial Studies (CFS).
    72. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2020. "The contribution of intraday jumps to forecasting the density of returns," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02505861, HAL.
    73. Louzis, Dimitrios P. & Xanthopoulos-Sisinis, Spyros & Refenes, Apostolos P., 2011. "Are realized volatility models good candidates for alternative Value at Risk prediction strategies?," MPRA Paper 30364, University Library of Munich, Germany.
    74. Ding, Shusheng & Cui, Tianxiang & Zhang, Yongmin, 2022. "Futures volatility forecasting based on big data analytics with incorporating an order imbalance effect," International Review of Financial Analysis, Elsevier, vol. 83(C).
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    76. Emmanuel Afuecheta & Idika E. Okorie & Saralees Nadarajah & Geraldine E. Nzeribe, 2024. "Forecasting Value at Risk and Expected Shortfall of Foreign Exchange Rate Volatility of Major African Currencies via GARCH and Dynamic Conditional Correlation Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 63(1), pages 271-304, January.
    77. Chortareas, Georgios & Jiang, Ying & Nankervis, John. C., 2011. "Forecasting exchange rate volatility using high-frequency data: Is the euro different?," International Journal of Forecasting, Elsevier, vol. 27(4), pages 1089-1107, October.
    78. Bonato, Matteo & Caporin, Massimiliano & Ranaldo, Angelo, 2012. "Forecasting Realized (Co)Variances with a Bloc Structure Wishart Autoregressive Model," Working Papers on Finance 1211, University of St. Gallen, School of Finance.
    79. Fantazzini, Dean & Shangina, Tamara, 2019. "The importance of being informed: forecasting market risk measures for the Russian RTS index future using online data and implied volatility over two decades," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 55, pages 5-31.
    80. Ammann, Manuel & Buesser, Ralf, 2013. "Variance Risk Premiums in Foreign Exchange Markets," Working Papers on Finance 1304, University of St. Gallen, School of Finance.
    81. Prateek Sharma & Swati Sharma, 2015. "Forecasting gains of robust realized variance estimators: evidence from European stock markets," Economics Bulletin, AccessEcon, vol. 35(1), pages 61-69.
    82. David T. L. Siu & John Okunev, 2009. "Forecasting exchange rate volatility: a multiple horizon comparison using historical, realized and implied volatility measures," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(6), pages 465-486.
    83. Proelss, Juliane & Schweizer, Denis & Seiler, Volker, 2020. "The economic importance of rare earth elements volatility forecasts," International Review of Financial Analysis, Elsevier, vol. 71(C).
    84. Bo-Young Chang & Peter Christoffersen & Kris Jacobs & Gregory Vainberg, 2009. "Option-Implied Measures of Equity Risk," CIRANO Working Papers 2009s-33, CIRANO.
    85. Martin Martens & Dick van Dijk & Michiel de Pooter, 2004. "Modeling and Forecasting S&P 500 Volatility: Long Memory, Structural Breaks and Nonlinearity," Tinbergen Institute Discussion Papers 04-067/4, Tinbergen Institute.
    86. Santos, Douglas G. & Candido, Osvaldo & Tófoli, Paula V., 2022. "Forecasting risk measures using intraday and overnight information," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    87. Ewa Ratuszny, 2015. "Risk Modeling of Commodities using CAViaR Models, the Encompassing Method and the Combined Forecasts," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 15, pages 129-156.
    88. Kai‐Jiun Chang & Mao‐Wei Hung & Yaw‐Huei Wang & Kuang‐Chieh Yen, 2019. "Volatility information implied in the term structure of VIX," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(1), pages 56-71, January.
    89. Andrada-Félix, Julián & Fernández-Rodríguez, Fernando & Fuertes, Ana-Maria, 2016. "Combining nearest neighbor predictions and model-based predictions of realized variance: Does it pay?," International Journal of Forecasting, Elsevier, vol. 32(3), pages 695-715.
    90. Ana-Maria Fuertes & Elena Kalotychou & Natasa Todorovic, 2015. "Daily volume, intraday and overnight returns for volatility prediction: profitability or accuracy?," Review of Quantitative Finance and Accounting, Springer, vol. 45(2), pages 251-278, August.
    91. Wei Zhang & Kai Yan & Dehua Shen, 2021. "Can the Baidu Index predict realized volatility in the Chinese stock market?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-31, December.
    92. Christoffersen, Peter & Mazzotta, Stefano, 2004. "The informational content of over-the-counter currency options," Working Paper Series 366, European Central Bank.
    93. Giampiero M. Gallo & Edoardo Otranto, 2014. "Forecasting Realized Volatility with Changes of Regimes," Econometrics Working Papers Archive 2014_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Feb 2014.
    94. Min Liu & Chien‐Chiang Lee & Wei‐Chong Choo, 2021. "An empirical study on the role of trading volume and data frequency in volatility forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 792-816, August.
    95. Fuertes, Ana-Maria & Izzeldin, Marwan & Kalotychou, Elena, 2009. "On forecasting daily stock volatility: The role of intraday information and market conditions," International Journal of Forecasting, Elsevier, vol. 25(2), pages 259-281.
    96. Rui Fan & Stephen J. Taylor & Matteo Sandri, 2018. "Density forecast comparisons for stock prices, obtained from high‐frequency returns and daily option prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(1), pages 83-103, January.
    97. Guillermo Benavides, 2010. "Forecasting Short-Run Inflation Volatility using Futures Prices: An Empirical Analysis from a Value at Risk Perspective," Revista de Administración, Finanzas y Economía (Journal of Management, Finance and Economics), Tecnológico de Monterrey, Campus Ciudad de México, vol. 4(2), pages 1-27.
    98. Suk Joon Byun & Dong Woo Rhee & Sol Kim, 2011. "Intraday volatility forecasting from implied volatility," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 7(1), pages 83-100, February.
    99. Domagoj Sajter, 2015. "When Can We Call It “Extraordinary Circumstances”? Examination of Currency Exchange Rate Shocks," MIC 2015: Managing Sustainable Growth; Proceedings of the Joint International Conference, Portorož, Slovenia, 28–30 May 2015,, University of Primorska, Faculty of Management Koper.
    100. Wang, Chou-Wen & Wu, Chin-Wen & Tzang, Shyh-Weir, 2012. "Implementing option pricing models when asset returns follow an autoregressive moving average process," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 8-25.
    101. Jiang, George J. & Tian, Yisong S., 2010. "Forecasting Volatility Using Long Memory and Comovements: An Application to Option Valuation under SFAS 123R," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(2), pages 503-533, April.
    102. Eui Jung Chang & Benjamin Miranda Tabak, 2007. "Are implied volatilities more informative? The Brazilian real exchange rate case," Applied Financial Economics, Taylor & Francis Journals, vol. 17(7), pages 569-576.
    103. Oikonomou, Ioannis & Stancu, Andrei & Symeonidis, Lazaros & Wese Simen, Chardin, 2019. "The information content of short-term options," Journal of Financial Markets, Elsevier, vol. 46(C).
    104. Lanne, Markku & Ahoniemi, Katja, 2008. "Implied Volatility with Time-Varying Regime Probabilities," MPRA Paper 23721, University Library of Munich, Germany.
    105. Degiannakis, Stavros, 2018. "Multiple Days Ahead Realized Volatility Forecasting: Single, Combined and Average Forecasts," MPRA Paper 96272, University Library of Munich, Germany.
    106. Gallo, Giampiero M. & Otranto, Edoardo, 2015. "Forecasting realized volatility with changing average levels," International Journal of Forecasting, Elsevier, vol. 31(3), pages 620-634.
    107. Davood Pirayesh Neghab & Mucahit Cevik & M. I. M. Wahab, 2023. "Explaining Exchange Rate Forecasts with Macroeconomic Fundamentals Using Interpretive Machine Learning," Papers 2303.16149, arXiv.org.
    108. Caio Mário Mesquita & Cristiano Arbex Valle & Adriano César Machado Pereira, 2024. "Scenario Generation for Financial Data with a Machine Learning Approach Based on Realized Volatility and Copulas," Computational Economics, Springer;Society for Computational Economics, vol. 63(5), pages 1879-1919, May.
    109. S. Garg & Vipul, 2014. "Volatility forecasting performance of two-scale realized volatility," Applied Financial Economics, Taylor & Francis Journals, vol. 24(17), pages 1111-1121, September.
    110. Liu, Yang & Han, Liyan & Yin, Libo, 2019. "News implied volatility and long-term foreign exchange market volatility," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 126-142.
    111. Bams, Dennis & Blanchard, Gildas & Lehnert, Thorsten, 2017. "Volatility measures and Value-at-Risk," International Journal of Forecasting, Elsevier, vol. 33(4), pages 848-863.
    112. Taylor, Nicholas, 2008. "Can idiosyncratic volatility help forecast stock market volatility?," International Journal of Forecasting, Elsevier, vol. 24(3), pages 462-479.
    113. Ding, Shusheng & Cui, Tianxiang & Zhang, Yongmin, 2020. "Incorporating the RMB internationalization effect into its exchange rate volatility forecasting," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    114. Dimitrios Louzis & Spyros Xanthopoulos-Sisinis & Apostolos Refenes, 2011. "Stock index realized volatility forecasting in the presence of heterogeneous leverage effects and long range dependence in the volatility of realized volatility," Post-Print hal-00709559, HAL.
    115. Ming-Yuan Leon Li, 2008. "Hybrid versus highbred: combined economic models with time-series analyses," Quantitative Finance, Taylor & Francis Journals, vol. 8(6), pages 637-647.
    116. Raunig, Burkhard, 2008. "The predictability of exchange rate volatility," Economics Letters, Elsevier, vol. 98(2), pages 220-228, February.
    117. Kasman, Adnan & Kasman, Saadet & Torun, Erdost, 2009. "Dual long memory property in returns and volatility: Evidence from the CEE countries' stock markets," Emerging Markets Review, Elsevier, vol. 10(2), pages 122-139, June.
    118. Ariful Hoque & Chandrasekhar Krishnamurti, 2012. "Modeling moneyness volatility in measuring exchange rate volatility," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 8(4), pages 365-380, September.
    119. Plíhal, Tomáš & Lyócsa, Štefan, 2021. "Modeling realized volatility of the EUR/USD exchange rate: Does implied volatility really matter?," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 811-829.

  30. Shackleton, Mark B. & Tsekrekos, Andrianos E. & Wojakowski, Rafal, 2004. "Strategic entry and market leadership in a two-player real options game," Journal of Banking & Finance, Elsevier, vol. 28(1), pages 179-201, January.

    Cited by:

    1. Pawlina, G. & Kort, P.M., 2001. "Real Options in an Aymmetric Duopoly : Who Benefits from your Competitive Disadvantage," Other publications TiSEM e997e0f6-3d0f-4cbe-b97a-c, Tilburg University, School of Economics and Management.
    2. Akdoğu, Evrim & MacKay, Peter, 2012. "Product markets and corporate investment: Theory and evidence," Journal of Banking & Finance, Elsevier, vol. 36(2), pages 439-453.
    3. Michi NISHIHARA, 2020. "Preemptive competition between two firms with different discount rates," Discussion Papers in Economics and Business 20-04, Osaka University, Graduate School of Economics.
    4. Tsekrekos, Andrianos E., 2010. "The effect of mean reversion on entry and exit decisions under uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 725-742, April.
    5. Kamoto, Shinsuke, 2023. "Investment decisions and financial leverage under a potential entry threat," Journal of Banking & Finance, Elsevier, vol. 154(C).
    6. Chia-Hui Chen & Junichiro Ishida & Arijit Mukherjee, 2021. "Pioneer, Early Follower or Late Entrant: Entry Dynamics with Learning and Market Competition," ISER Discussion Paper 1132, Institute of Social and Economic Research, Osaka University.
    7. Paxson, Dean & Pinto, Helena, 2005. "Rivalry under price and quantity uncertainty," Review of Financial Economics, Elsevier, vol. 14(3-4), pages 209-224.
    8. Chia-Hui Chen & Junichiro Ishida & Arijit Mukherjee, 2018. "An Entry Game with Learning and Market Competition," ISER Discussion Paper 1043, Institute of Social and Economic Research, Osaka University.
    9. Pereira, Paulo J. & Rodrigues, Artur, 2014. "Investment decisions in finite-lived monopolies," Journal of Economic Dynamics and Control, Elsevier, vol. 46(C), pages 219-236.
    10. Steele, Marie E. & Weatherspoon, Dave D., 2017. "A Theoretical Approach to Supermarket Chain Investment in Urban Food Deserts," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258202, Agricultural and Applied Economics Association.
    11. Cunningham, Christopher R., 2006. "House price uncertainty, timing of development, and vacant land prices: Evidence for real options in Seattle," Journal of Urban Economics, Elsevier, vol. 59(1), pages 1-31, January.
    12. Kamoto, Shinsuke, 2015. "Strategic capacity expansion under a potential entry threat," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 157-177.
    13. Azevedo, Alcino & Paxson, Dean, 2014. "Developing real option game models," European Journal of Operational Research, Elsevier, vol. 237(3), pages 909-920.
    14. Michi Nishihara, 2021. "Preemptive competition between two firms with different discount rates," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(3), pages 675-687, April.
    15. Diana Terrazas‐Santamaria, 2021. "Strategic introduction of a new product under uncertainty: A duopoly case," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(4), pages 796-807, June.
    16. Amal Abdel Razzac & Linda Salahaldin & Salah Eddine Elayoubi & Yezekael Hayel & Tijani Chahed, 2017. "A Game Theoretical Real Options Framework for Investment Decisions in Mobile TV Infrastructure," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(04), pages 1-34, August.
    17. Martzoukos, Spiros H. & Zacharias, Eleftherios, 2013. "Real option games with R&D and learning spillovers," Omega, Elsevier, vol. 41(2), pages 236-249.
    18. Bunn, Derek W. & Oliveira, Fernando S., 2016. "Dynamic capacity planning using strategic slack valuation," European Journal of Operational Research, Elsevier, vol. 253(1), pages 40-50.
    19. Hans Haanappel & Han Smit, 2007. "Return distributions of strategic growth options," Annals of Operations Research, Springer, vol. 151(1), pages 57-80, April.

  31. Daniel Chi‐Hsiou Hung & Mark Shackleton & Xinzhong Xu, 2004. "CAPM, Higher Co‐moment and Factor Models of UK Stock Returns," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(1‐2), pages 87-112, January.

    Cited by:

    1. Akbar, Muhammad & Nguyen, Thuy Thu, 2016. "The explanatory power of higher moment capital asset pricing model in the Karachi stock exchange," Research in International Business and Finance, Elsevier, vol. 36(C), pages 241-253.
    2. Charlie Cai & Robert Faff & David Hillier & Michael McKenzie, 2006. "Modelling return and conditional volatility exposures in global stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 27(2), pages 125-142, September.
    3. Morelli, David, 2007. "Beta, size, book-to-market equity and returns: A study based on UK data," Journal of Multinational Financial Management, Elsevier, vol. 17(3), pages 257-272, July.
    4. Morelli, David, 2011. "Joint conditionality in testing the beta-return relationship: Evidence based on the UK stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(1), pages 1-13, February.
    5. Johan Knif & Dimitrios Koutmos & Gregory Koutmos, 2020. "Higher Co-Moment CAPM and Hedge Fund Returns," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 48(1), pages 99-113, March.
    6. Nawar, Hashem, 2010. "Industry Concentration and the Cross-section of Stock Returns: Evidence from the UK," MPRA Paper 28440, University Library of Munich, Germany, revised Nov 2010.
    7. Maria Michou, 2009. "Is the Value Spread a Good Predictor of Stock Returns? UK Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(7‐8), pages 925-950, September.
    8. Lambert, M. & Hübner, G., 2013. "Comoment risk and stock returns," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 191-205.
    9. Valadkhani, Abbas, 2022. "Do large-cap exchange-traded funds perform better than their small-cap counterparts in extreme market conditions?☆," Global Finance Journal, Elsevier, vol. 53(C).
    10. Banerjee, Anurag & Hung, Chi-Hsiou, 2011. "Informed momentum trading versus uninformed "naive" investors strategies," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 3077-3089, November.
    11. Chi‐Hsiou Hung, 2008. "Return Predictability of Higher‐Moment CAPM Market Models," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(7‐8), pages 998-1022, September.
    12. Dheeraj Misra & Sushma Vishnani & Ankit Mehrotra, 2019. "Four-moment CAPM Model: Evidence from the Indian Stock Market," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(1_suppl), pages 137-166, April.
    13. David Morelli, 2012. "Security returns, beta, size, and book-to-market equity: evidence from the Shanghai A-share market," Review of Quantitative Finance and Accounting, Springer, vol. 38(1), pages 47-60, January.
    14. Kostakis, Alexandros & Muhammad, Kashif & Siganos, Antonios, 2012. "Higher co-moments and asset pricing on London Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 913-922.
    15. Chi-Hsiou Hung, 2007. "Momentum, Size and Value Factors versus Systematic Co-moments in Stock Returns," Department of Economics Working Papers 2007_02, Durham University, Department of Economics.
    16. Richard Mawulawoe Ahadzie & Nagaratnam Jeyasreedharan, 2024. "Higher‐order moments and asset pricing in the Australian stock market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 75-128, March.
    17. Iqbal, Javed & Brooks, Robert & Galagedera, Don UA, 2007. "Testing Asset Pricing Models in Emerging Markets: An Examination of Higher Order Co-Moments and Alternative Factor Models," MPRA Paper 25020, University Library of Munich, Germany, revised Oct 2007.
    18. Mark C. Freeman & Cherif Guermat, 2006. "The Conditional Relationship Between Beta and Returns: A Reassessment," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(7‐8), pages 1213-1239, September.
    19. Ian Garrett, 2004. "Discussion of CAPM, Higher Co‐moment and Factor Models of UK Stock Returns," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(1‐2), pages 113-114, January.
    20. Durand, Robert B. & Lan, Yihui & Ng, Andrew, 2011. "Conditional beta: Evidence from Asian emerging markets," Global Finance Journal, Elsevier, vol. 22(2), pages 130-153.
    21. Philippe Pébay & Timothy B. Terriberry & Hemanth Kolla & Janine Bennett, 2016. "Numerically stable, scalable formulas for parallel and online computation of higher-order multivariate central moments with arbitrary weights," Computational Statistics, Springer, vol. 31(4), pages 1305-1325, December.
    22. Hung, Chi-Hsiou D. & Azad, A.S.M. Sohel & Fang, Victor, 2014. "Determinants of stock returns: Factors or systematic co-moments? Crisis versus non-crisis periods," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 14-29.
    23. Högholm, Kenneth & Knif, Johan & Koutmos, Gregory & Pynnönen, Seppo, 2011. "Distributional asymmetry of loadings on market co-moments," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(5), pages 851-866.
    24. Chi-Hsiou Hung, 2007. "Return Explanatory Ability and Predictability of Non-Linear Market Models," Department of Economics Working Papers 2007_05, Durham University, Department of Economics.
    25. Guermat, Cherif & Freeman, Mark C., 2010. "A net beta test of asset pricing models," International Review of Financial Analysis, Elsevier, vol. 19(1), pages 1-9, January.

  32. San-Lin Chung & Mark Shackleton, 2003. "The simplest American and Real Option approximations: Geske-Johnson interpolation in maturity and yield," Applied Economics Letters, Taylor & Francis Journals, vol. 10(11), pages 709-716.

    Cited by:

    1. Tian-Shyr Dai & Yuh-Dauh Lyuu, 2009. "Accurate approximation formulas for stock options with discrete dividends," Applied Economics Letters, Taylor & Francis Journals, vol. 16(16), pages 1657-1663.
    2. Murat Isik, 2005. "Incorporating decision makers' risk preferences into real options models," Applied Economics Letters, Taylor & Francis Journals, vol. 12(12), pages 729-734.

  33. San‐Lin Chung & Mark Shackleton, 2002. "The Binomial Black–Scholes model and the Greeks," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 22(2), pages 143-153, February.

    Cited by:

    1. Douglas Emery & Weiyu Guo & Tie Su, 2008. "A closer look at Black–Scholes option thetas," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 32(1), pages 59-74, January.
    2. Muroi, Yoshifumi & Suda, Shintaro, 2017. "Computation of Greeks in jump-diffusion models using discrete Malliavin calculus," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 140(C), pages 69-93.

  34. Mark Shackleton & Rafal Wojakowski, 2002. "The Expected Return and Exercise Time of Merton‐style Real Options," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 29(3‐4), pages 541-555, April.

    Cited by:

    1. Wong, Kit Pong & Yi, Long, 2013. "Irreversibility, mean reversion, and investment timing," Economic Modelling, Elsevier, vol. 30(C), pages 770-775.
    2. Wong, Kit Pong, 2011. "Progressive taxation and the intensity and timing of investment," Economic Modelling, Elsevier, vol. 28(1-2), pages 100-108, January.
    3. Wu, Ming-Cheng, 2011. "Antecedents of patent value using exchange option models: Evidence from a panel data analysis," Journal of Business Research, Elsevier, vol. 64(1), pages 81-86, January.
    4. Shackleton, Mark B. & Sodal, Sigbjorn, 2005. "Smooth pasting as rate of return equalization," Economics Letters, Elsevier, vol. 89(2), pages 200-206, November.
    5. Correia, Ricardo & Dubiel-Teleszynski, Tomasz & Población, Javier, 2019. "Anticipating individual bank rescues," Economic Modelling, Elsevier, vol. 82(C), pages 345-360.
    6. Wong, Kit Pong, 2011. "Progressive taxation and the intensity and timing of investment," Economic Modelling, Elsevier, vol. 28(1), pages 100-108.
    7. Dubiel-Teleszynski, Tomasz & Gross, Marco & Población, Javier, 2019. "A structural model to assess the impact of bank capitalization changes conditional on a bail-in versus bail-out regime," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 1-13.
    8. Wong, Kit Pong, 2010. "The effects of irreversibility on the timing and intensity of lumpy investment," Economic Modelling, Elsevier, vol. 27(1), pages 97-102, January.
    9. Wong, Kit Pong, 2007. "The effect of uncertainty on investment timing in a real options model," Journal of Economic Dynamics and Control, Elsevier, vol. 31(7), pages 2152-2167, July.
    10. Correia, Ricardo & Dubiel-Teleszynski, Tomasz & Población García, Francisco Javier, 2017. "A structural model to study the bail-out process in a bank and its macro-prudential policy implications," Working Paper Series 2110, European Central Bank.
    11. Shackleton, Mark B. & Tsekrekos, Andrianos E. & Wojakowski, Rafal, 2004. "Strategic entry and market leadership in a two-player real options game," Journal of Banking & Finance, Elsevier, vol. 28(1), pages 179-201, January.
    12. Richard Buttimer & Steven Clark & Steven Ott, 2008. "Land Development: Risk, Return and Risk Management," The Journal of Real Estate Finance and Economics, Springer, vol. 36(1), pages 81-102, January.
    13. Gross, Marco & Dubiel-Teleszynski, Tomasz & Población García, Francisco Javier, 2018. "A structural model to assess the impact of bank capitalization changes conditional on a bail-in versus bail-out regime," Working Paper Series 2181, European Central Bank.
    14. Wong, Kit Pong, 2009. "The effects of abandonment options on operating leverage and investment timing," International Review of Economics & Finance, Elsevier, vol. 18(1), pages 162-171, January.
    15. Keswani, Aneel & Shackleton, Mark B., 2006. "How real option disinvestment flexibility augments project NPV," European Journal of Operational Research, Elsevier, vol. 168(1), pages 240-252, January.
    16. Steffen Brenner & Rainer Schulz & Wolfgang Härdle, 2007. "Realoptionen und Immobilienbewertung: Eine Umsetzungsstudie," Schmalenbach Journal of Business Research, Springer, vol. 59(8), pages 1002-1028, December.
    17. Kit Wong, 2010. "On the neutrality of debt in investment intensity," Annals of Finance, Springer, vol. 6(3), pages 335-356, July.

  35. Mark Shackleton & Rafal Wojakowski, 2001. "On the expected payoff and true probability of exercise of European options," Applied Economics Letters, Taylor & Francis Journals, vol. 8(4), pages 269-271.

    Cited by:

    1. Minting Zhu & Mancang Wang & Jingyu Wu, 2024. "An Option Pricing Formula for Active Hedging Under Logarithmic Investment Strategy," Mathematics, MDPI, vol. 12(23), pages 1-21, December.
    2. Tian-Shyr Dai & Yuh-Dauh Lyuu, 2009. "Accurate approximation formulas for stock options with discrete dividends," Applied Economics Letters, Taylor & Francis Journals, vol. 16(16), pages 1657-1663.
    3. Richard Buttimer & Steven Clark & Steven Ott, 2008. "Land Development: Risk, Return and Risk Management," The Journal of Real Estate Finance and Economics, Springer, vol. 36(1), pages 81-102, January.

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