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Carol Alexander

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. Carol Alexander & Xi Chen & Charles Ward, 2021. "Risk-Adjusted Valuation for Real Option Decisions," Papers 2109.04793, arXiv.org.

    Cited by:

    1. Haktanır, Elif & Kahraman, Cengiz, 2023. "Intuitionistic fuzzy risk adjusted discount rate and certainty equivalent methods for risky projects," International Journal of Production Economics, Elsevier, vol. 257(C).
    2. Zeng, Hongjun & Abedin, Mohammad Zoynul & Wu, Ran & Ahmed, Abdullahi D., 2024. "Asymmetric dependency among US national financial conditions and clean energy markets," Global Finance Journal, Elsevier, vol. 63(C).
    3. Raisa Pérez-Vas & Javier Hervés-Estévez & María Dolores Garza Gil & Raquel Fernández-González, 2024. "Valuation of an innovative investment project using real options approach: A case study of a viticulture company in Spain," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 70(2), pages 91-100.

  2. Carol Alexander & Michael Coulon & Yang Han & Xiaochun Meng, 2021. "Evaluating the Discrimination Ability of Proper Multivariate Scoring Rules," Papers 2101.12693, arXiv.org.

    Cited by:

    1. Simon Hirsch, 2025. "Online Multivariate Regularized Distributional Regression for High-dimensional Probabilistic Electricity Price Forecasting," Papers 2504.02518, arXiv.org, revised Oct 2025.
    2. Anastasios Panagiotelis & Puwasala Gamakumara & George Athanasopoulos & Rob J Hyndman, 2020. "Probabilistic Forecast Reconciliation: Properties, Evaluation and Score Optimisation," Monash Econometrics and Business Statistics Working Papers 26/20, Monash University, Department of Econometrics and Business Statistics.

  3. Carol Alexander & Daniel Heck & Andreas Kaeck, 2021. "The Role of Binance in Bitcoin Volatility Transmission," Papers 2107.00298, arXiv.org, revised Aug 2021.

    Cited by:

    1. Farag, Hisham & Luo, Di & Yarovaya, Larisa & Zieba, Damian, 2025. "Returns from liquidity provision in cryptocurrency markets," Journal of Banking & Finance, Elsevier, vol. 175(C).
    2. Nadhira Khezami & Nourcherif Gharbi & Bilel Neji & Naceur Benhadj Braiek, 2022. "Blockchain Technology Implementation in the Energy Sector: Comprehensive Literature Review and Mapping," Sustainability, MDPI, vol. 14(23), pages 1-45, November.
    3. Huang, Zih-Chun & Sangiorgi, Ivan & Urquhart, Andrew, 2024. "Forecasting Bitcoin volatility using machine learning techniques," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 97(C).
    4. Chikashi Tsuji, 2025. "The risk–return trade-off of Bitcoin: Evidence from regime-switching analysis," Future Business Journal, Springer, vol. 11(1), pages 1-25, December.
    5. Galati, Luca, 2024. "Exchange market share, market makers, and murky behavior: The impact of no-fee trading on cryptocurrency market quality," Journal of Banking & Finance, Elsevier, vol. 165(C).
    6. Carol Alexander & Jun Deng & Jianfen Feng & Huning Wan, 2021. "Net Buying Pressure and the Information in Bitcoin Option Trades," Papers 2109.02776, arXiv.org, revised Mar 2022.
    7. Ahmed, Mohamed Shaker & El-Masry, Ahmed A. & Al-Maghyereh, Aktham I. & Kumar, Satish, 2024. "Cryptocurrency volatility: A review, synthesis, and research agenda," Research in International Business and Finance, Elsevier, vol. 71(C).
    8. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2023. "Multivariate dynamics between emerging markets and digital asset markets: An application of the SNP-DCC model," Emerging Markets Review, Elsevier, vol. 56(C).
    9. Afzol Husain & Kwang-Jing Yii & Chorng Yuan Fung & Richard Busulwa, 2025. "Portfolio risk of cryptocurrency inclusion: a comparison among conventional cryptocurrencies and asset-backed cryptocurrencies," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 15(3), pages 687-739, September.
    10. Marcin Wk{a}torek & Marcin Kr'olczyk & Jaros{l}aw Kwapie'n & Tomasz Stanisz & Stanis{l}aw Dro.zd.z, 2024. "Approaching multifractal complexity in decentralized cryptocurrency trading," Papers 2411.05951, arXiv.org.
    11. Muhammad Anas & Syed Jawad Hussain Shahzad & Larisa Yarovaya, 2024. "The use of high-frequency data in cryptocurrency research: a meta-review of literature with bibliometric analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-31, December.
    12. Ahmed Mahrous & Maurantonio Caprolu & Roberto Di Pietro, 2025. "Stablecoins: Fundamentals, Emerging Issues, and Open Challenges," Papers 2507.13883, arXiv.org.
    13. Wang, Yifu & Lu, Wanbo & Lin, Min-Bin & Ren, Rui & Härdle, Wolfgang Karl, 2024. "Cross-exchange crypto risk: A high-frequency dynamic network perspective," International Review of Financial Analysis, Elsevier, vol. 94(C).
    14. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2024. "Bitcoin halving and the integration of cryptocurrency and forex markets: An analysis of the higher-order moment spillovers," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 302-315.
    15. Alessio Brini & Jimmie Lenz, 2024. "A comparison of cryptocurrency volatility-benchmarking new and mature asset classes," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-38, December.
    16. Alessio Brini & Jimmie Lenz, 2024. "A Comparison of Cryptocurrency Volatility-benchmarking New and Mature Asset Classes," Papers 2404.04962, arXiv.org.
    17. Bouteska, Ahmed & Sharif, Taimur & Isskandarani, Layal & Abedin, Mohammad Zoynul, 2025. "Market efficiency and its determinants: Macro-level dynamics and micro-level characteristics of cryptocurrencies," International Review of Economics & Finance, Elsevier, vol. 98(C).

  4. Carol Alexander & Jun Deng & Jianfen Feng & Huning Wan, 2021. "Net Buying Pressure and the Information in Bitcoin Option Trades," Papers 2109.02776, arXiv.org, revised Mar 2022.

    Cited by:

    1. Wael Dammak & Salah Ben Hamad & Christian de Peretti & Hichem Eleuch, 2023. "Pricing of European currency options considering the dynamic information costs," Post-Print hal-04875463, HAL.
    2. Yeguang Chi & Qionghua & Chu & Wenyan Hao, 2024. "Return and Volatility Forecasting Using On-Chain Flows in Cryptocurrency Markets," Papers 2411.06327, arXiv.org, revised Sep 2025.
    3. Lars Hornuf & Paul P. Momtaz & Rachel J. Nam & Ye Yuan, 2023. "Cybercrime on the Ethereum Blockchain," CESifo Working Paper Series 10598, CESifo.
    4. Julian Winkel & Wolfgang Karl Härdle, 2023. "Pricing Kernels and Risk Premia implied in Bitcoin Options," Risks, MDPI, vol. 11(5), pages 1-18, April.
    5. Danial Saef & Odett Nagy & Sergej Sizov & Wolfgang Karl Härdle, 2024. "Understanding temporal dynamics of jumps in cryptocurrency markets: evidence from tick-by-tick data," Digital Finance, Springer, vol. 6(4), pages 605-638, December.
    6. Maik Schmeling & Andreas Schrimpf & Karamfil Todorov, 2023. "Crypto carry," BIS Working Papers 1087, Bank for International Settlements.
    7. Carol Alexander & Ding Chen & Arben Imeraj, 2023. "Crypto quanto and inverse options," Mathematical Finance, Wiley Blackwell, vol. 33(4), pages 1005-1043, October.
    8. Alexander, Carol & Chen, Xi & Deng, Jun & Wang, Tianyi, 2024. "Arbitrage opportunities and efficiency tests in crypto derivatives," Journal of Financial Markets, Elsevier, vol. 71(C).
    9. Wei, Wang Chun & Koutmos, Dimitrios & Zhu, Min, 2024. "Are Bitcoin option traders speculative or informed?," Finance Research Letters, Elsevier, vol. 67(PA).

  5. Carol Alexander & Jun Deng & Bin Zou, 2021. "Hedging with Bitcoin Futures: The Effect of Liquidation Loss Aversion and Aggressive Trading," Papers 2101.01261, arXiv.org, revised Aug 2021.

    Cited by:

    1. Dirk G. Baur & Lee A. Smales, 2022. "Trading behavior in bitcoin futures: Following the “smart money”," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(7), pages 1304-1323, July.
    2. Carol Alexander & Jun Deng & Jianfen Feng & Huning Wan, 2021. "Net Buying Pressure and the Information in Bitcoin Option Trades," Papers 2109.02776, arXiv.org, revised Mar 2022.
    3. Matic, Jovanka & Packham, Natalie & Härdle, Wolfgang, 2021. "Hedging cryptocurrency options," IRTG 1792 Discussion Papers 2021-021, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    4. Artem Lensky & Mingyu Hao, 2023. "Learning to Predict Short-Term Volatility with Order Flow Image Representation," Papers 2304.02472, arXiv.org, revised Mar 2024.

  6. Carol Alexander & Emese Lazar & Silvia Stanescu, 2018. "Analytic Moments for GARCH Processes," Papers 1808.09666, arXiv.org, revised Sep 2018.

    Cited by:

    1. Carol Alexander & Emese Lazar & Silvia Stanescu, 2011. "Analytic Approximations to GARCH Aggregated Returns Distributions with Applications to VaR and ETL," ICMA Centre Discussion Papers in Finance icma-dp2011-08, Henley Business School, University of Reading.
    2. Alexander, Carol & Lazar, Emese & Stanescu, Silvia, 2013. "Forecasting VaR using analytic higher moments for GARCH processes," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 36-45.

  7. Carol Alexander & Xi Chen, 2018. "Model Risk in Real Option Valuation," Papers 1809.00817, arXiv.org, revised Sep 2018.

    Cited by:

    1. Mesias Alfeus & James Collins, 2023. "A novel stochastic modeling framework for coal production and logistics through options pricing analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-19, December.
    2. Alexander, Carol & Chen, Xi & Ward, Charles, 2021. "Risk-adjusted valuation for real option decisions," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 1046-1064.
    3. Jiří Hozman & Tomáš Tichý & Hana Dvořáčková, 2024. "Valuation of mining projects under dynamic model framework," Annals of Operations Research, Springer, vol. 337(3), pages 1167-1204, June.

  8. Johannes Rauch & Carol Alexander, 2016. "Tail Risk Premia for Long-Term Equity Investors," Papers 1602.00865, arXiv.org.

    Cited by:

    1. Brignone, Riccardo & Gonzato, Luca & Lütkebohmert, Eva, 2023. "Efficient Quasi-Bayesian Estimation of Affine Option Pricing Models Using Risk-Neutral Cumulants," Journal of Banking & Finance, Elsevier, vol. 148(C).
    2. Cui, Zhenyu & Lars Kirkby, J. & Nguyen, Duy, 2017. "A general framework for discretely sampled realized variance derivatives in stochastic volatility models with jumps," European Journal of Operational Research, Elsevier, vol. 262(1), pages 381-400.
    3. Finta, Marinela Adriana & Aboura, Sofiane, 2020. "Risk premium spillovers among stock markets: Evidence from higher-order moments," Journal of Financial Markets, Elsevier, vol. 49(C).
    4. Carol Alexander & Johannes Rauch, 2016. "Model-Free Discretisation-Invariant Swap Contracts," Papers 1602.00235, arXiv.org, revised Apr 2016.

  9. Carol Alexander & Johannes Rauch, 2016. "Model-Free Discretisation-Invariant Swap Contracts," Papers 1602.00235, arXiv.org, revised Apr 2016.

    Cited by:

    1. Cui, Zhenyu & Lars Kirkby, J. & Nguyen, Duy, 2017. "A general framework for discretely sampled realized variance derivatives in stochastic volatility models with jumps," European Journal of Operational Research, Elsevier, vol. 262(1), pages 381-400.
    2. Johannes Rauch & Carol Alexander, 2016. "Tail Risk Premia for Long-Term Equity Investors," Papers 1602.00865, arXiv.org.

  10. Carol Alexander & Daniel Ledermann, 2012. "ROM Simulation: Applications to Stress Testing and VaR," ICMA Centre Discussion Papers in Finance icma-dp2012-09, Henley Business School, University of Reading.

    Cited by:

    1. Dominique Gu�gan & Bertrand Hassani & Kehan Li, 2015. "The Spectral Stress VaR (SSVaR)," Working Papers 2015:17, Department of Economics, University of Venice "Ca' Foscari".
    2. Dominique Guegan & Bertrand K. Hassani & Kehan Li, 2015. "The Spectral Stress VaR (SSVaR)," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01169537, HAL.
    3. Carol Alexander & Xiaochun Meng & Wei Wei, 2020. "Targetting Kollo Skewness with Random Orthogonal Matrix Simulation," Papers 2004.06586, arXiv.org, revised Sep 2021.
    4. Michal Kováč, 2018. "Comparison of stress testing models for regulatory purposes by institutions using the IRBA method [Porovnání stres test modelů pro regulatorní účely institucí využívajících IRBA metodu]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2018(3), pages 41-56.
    5. Dominique Guegan & Bertrand K. Hassani & Kehan Li, 2015. "The Spectral Stress VaR (SSVaR)," Documents de travail du Centre d'Economie de la Sorbonne 15052, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    6. Takashi Isogai, 2014. "Benchmarking of Unconditional VaR and ES Calculation Methods: A Comparative Simulation Analysis with Truncated Stable Distribution," Bank of Japan Working Paper Series 14-E-1, Bank of Japan.
    7. Dominique Guegan & Bertrand K. Hassani & Kehan Li, 2015. "The Spectral Stress VaR (SSVaR)," Post-Print halshs-01169537, HAL.

  11. Carol Alexander & Marcel Prokopczuk & Anannit Sumawon, 2012. "The (De)merits of Minimum-Variance Hedging: Application to the Crack Spread," ICMA Centre Discussion Papers in Finance icma-dp2012-01, Henley Business School, University of Reading.

    Cited by:

    1. Hamed Ghoddusi & Franz Wirl, 2019. "A Risk-Hedging View to Refinery Capacity Investment," Working Papers 1327, Economic Research Forum, revised 21 Aug 2019.
    2. Olson, Eric & Vivian, Andrew & Wohar, Mark E., 2019. "What is a better cross-hedge for energy: Equities or other commodities?," Global Finance Journal, Elsevier, vol. 42(C).
    3. Beatriz Martínez & Hipòlit Torró, 2016. "Anatomy of Risk Premium in UK Natural Gas Futures," Working Papers 2016.06, Fondazione Eni Enrico Mattei.
    4. Cui, Yan & Feng, Yun, 2020. "Composite hedge and utility maximization for optimal futures hedging," International Review of Economics & Finance, Elsevier, vol. 68(C), pages 15-32.
    5. de Paula Leite, Ana Catarina & Pimentel, Liliana Marques & de Almeida Monteiro, Leandro, 2025. "Hedging in the second-generation biofuels market: Insights from UCOME," Renewable Energy, Elsevier, vol. 245(C).
    6. Beatriz Martínez & Hipòlit Torró, 2015. "European Natural Gas Seasonal Effects on Futures Hedging," Working Papers 2015.10, Fondazione Eni Enrico Mattei.
    7. Shrestha, Keshab & Subramaniam, Ravichandran & Rassiah, Puspavathy, 2017. "Pure martingale and joint normality tests for energy futures contracts," Energy Economics, Elsevier, vol. 63(C), pages 174-184.
    8. Roncoroni, Andrea & Id Brik, Rachid, 2017. "Hedging size risk: Theory and application to the US gas market," Energy Economics, Elsevier, vol. 64(C), pages 415-437.
    9. Liu, Pan & Vedenov, Dmitry & Power, Gabriel J., 2017. "Is hedging the crack spread no longer all it's cracked up to be?," Energy Economics, Elsevier, vol. 63(C), pages 31-40.
    10. Markus Hang & Jerome Geyer-Klingeberg & Andreas W. Rathgeber & Clémence Alasseur & Lena Wichmann, 2021. "Interaction effects of corporate hedging activities for a multi-risk exposure: evidence from a quasi-natural experiment," Review of Quantitative Finance and Accounting, Springer, vol. 56(2), pages 789-818, February.
    11. Martínez, Beatriz & Torró, Hipòlit, 2018. "Hedging spark spread risk with futures," Energy Policy, Elsevier, vol. 113(C), pages 731-746.
    12. Olson, Eric & Vivian, Andrew & Wohar, Mark E., 2017. "Do commodities make effective hedges for equity investors?," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1274-1288.
    13. Cao, Min & Conlon, Thomas, 2023. "Composite jet fuel cross-hedging," Journal of Commodity Markets, Elsevier, vol. 30(C).
    14. Fousekis, Panos & Grigoriadis, Vasilis, 2017. "Price co-movement and the crack spread in the US futures markets," Journal of Commodity Markets, Elsevier, vol. 7(C), pages 57-71.
    15. Goswami, Alankrita & Karali, Berna & Adjemian, Michael K., 2023. "Hedging with futures during nonconvergence in commodity markets," Journal of Commodity Markets, Elsevier, vol. 32(C).
    16. Kunlapath Sukcharoen & Hankyeung Choi & David J. Leatham, 2015. "Optimal gasoline hedging strategies using futures contracts and exchange-traded funds," Applied Economics, Taylor & Francis Journals, vol. 47(32), pages 3482-3498, July.
    17. Ewald, Christian-Oliver & Nawar, Roy & Siu, Tak Kuen, 2013. "Minimal variance hedging of natural gas derivatives in exponential Lévy models: Theory and empirical performance," Energy Economics, Elsevier, vol. 36(C), pages 97-107.
    18. Vedenov, Dmitry & Power, Gabriel J., 2022. "We don't need no fancy hedges! Or do we?," International Review of Financial Analysis, Elsevier, vol. 81(C).
    19. Shi, Ruoding & Isengildina Massa, Olga, 2022. "Costs of Futures Hedging in Corn and Soybean Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 47(2), May.
    20. Martínez, Beatriz & Torró, Hipòlit, 2018. "Analysis of risk premium in UK natural gas futures," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 621-636.
    21. Spencer, Simon & Bredin, Don & Conlon, Thomas, 2018. "Energy and agricultural commodities revealed through hedging characteristics: Evidence from developing and mature markets," Journal of Commodity Markets, Elsevier, vol. 9(C), pages 1-20.
    22. Ubukata, Masato, 2018. "Dynamic hedging performance and downside risk: Evidence from Nikkei index futures," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 270-281.
    23. Chen, Xiangyu & Tongurai, Jittima, 2021. "Cross-commodity hedging for illiquid futures: Evidence from China's base metal futures market," Global Finance Journal, Elsevier, vol. 49(C).
    24. Donald Lien & Ziling Wang & Xiaojian Yu, 2021. "Optimal quantile hedging under Markov regime switching," Empirical Economics, Springer, vol. 60(5), pages 2177-2201, May.
    25. Shrestha, Keshab & Subramaniam, Ravichandran & Peranginangin, Yessy & Philip, Sheena Sara Suresh, 2018. "Quantile hedge ratio for energy markets," Energy Economics, Elsevier, vol. 71(C), pages 253-272.
    26. Power, Gabriel J. & Vedenov, Dmitry, 2023. "Who's afraid of a Texas hedge?," Energy Economics, Elsevier, vol. 127(PB).
    27. Min Cao & Thomas Conlon, 2025. "Tail Risk Hedging: The Superiority of the Naïve Hedging Strategy," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(8), pages 977-1005, August.
    28. Furió, Dolores & Torró, Hipòlit, 2020. "Optimal hedging under biased energy futures markets," Energy Economics, Elsevier, vol. 88(C).
    29. Sukcharoen, Kunlapath & Leatham, David J., 2017. "Hedging downside risk of oil refineries: A vine copula approach," Energy Economics, Elsevier, vol. 66(C), pages 493-507.
    30. Chai, Shanglei & Zhou, P., 2018. "The Minimum-CVaR strategy with semi-parametric estimation in carbon market hedging problems," Energy Economics, Elsevier, vol. 76(C), pages 64-75.
    31. Shi, Ruoding & Isengildina Massa, Olga, "undated". "Double-Edged Sword: Liquidity Implications of Futures Hedging," 2018 Annual Meeting, August 5-7, Washington, D.C. 274106, Agricultural and Applied Economics Association.
    32. Geng, Qianjie, 2025. "Is there a robust hedging method during the COVID-19 pandemic? Evidence from Chinese crude oil futures," Energy Economics, Elsevier, vol. 144(C).

  12. Carol Alexander & Dimitris Korovilas, 2012. "Diversification of Equity with VIX Futures: Personal Views and Skewness Preference," ICMA Centre Discussion Papers in Finance icma-dp2012-07, Henley Business School, University of Reading.

    Cited by:

    1. Sebastian A. Gehricke & Jin E. Zhang, 2018. "Modeling VXX," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(8), pages 958-976, August.
    2. Adrian Fernandez‐Perez & Bart Frijns & Ilnara Gafiatullina & Alireza Tourani‐Rad, 2018. "Determinants of intraday price discovery in VIX exchange traded notes," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(5), pages 535-548, May.
    3. Park, Yang-Ho, 2015. "Volatility-of-volatility and tail risk hedging returns," Journal of Financial Markets, Elsevier, vol. 26(C), pages 38-63.
    4. Bahaji, Hamza & Aberkane, Salah, 2016. "How rational could VIX investing be?," Economic Modelling, Elsevier, vol. 58(C), pages 556-568.
    5. Taylor, Nick, 2019. "Forecasting returns in the VIX futures market," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1193-1210.
    6. Jędrzej Białkowski & Huong Dieu Dang & Xiaopeng Wei, 2017. "Does the Tail Wag the Dog? Evidence from Fund Flow to VIX ETFs and ETNs," Working Papers in Economics 17/17, University of Canterbury, Department of Economics and Finance.

  13. Carol Alexander & Dimitris Korovilas, 2011. "The Hazards of Volatility Diversification," ICMA Centre Discussion Papers in Finance icma-dp2011-04, Henley Business School, University of Reading.

    Cited by:

    1. Michał Latoszek & Robert Ślepaczuk, 2019. "Does the inclusion of exposure to volatility into diversified portfolio improve the investment results? Portfolio construction from the perspective of a Polish investor," Working Papers 2019-14, Faculty of Economic Sciences, University of Warsaw.
    2. Martin Wallmeier, 2011. "Beyond payoff diagrams: how to present risk and return characteristics of structured products," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 25(3), pages 313-338, September.
    3. Paweł Sakowski & Daria Turovtseva, 2020. "Does Bitcoin Improve Investment Portfolio Efficiency?," Working Papers 2020-42, Faculty of Economic Sciences, University of Warsaw.
    4. Juliusz Jablecki & Robert Slepaczuk & Ryszard Kokoszczynski & Pawel Sakowski & Piotr Wojcik, 2014. "Does historical VIX term structure contain valuable information for predicting VIX futures?," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 14, pages 5-28.
    5. Juliusz Jabłecki & Ryszard Kokoszczyński & Paweł Sakowski & Robert Ślepaczuk & Piotr Wójcik, 2014. "Does historical volatility term structure contain valuable in-formation for predicting volatility index futures?," Working Papers 2014-18, Faculty of Economic Sciences, University of Warsaw.
    6. D.E. Allen & A. Kramadibrata & Michael McAleer & R. Powell & A. K. Singh, 2012. "A non-parametric and entropy based analysis of the relationship between the VIX and S&P500," Documentos de Trabajo del ICAE 2012-19, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    7. Kozarski, R., 2013. "Pricing and hedging in the VIX derivative market," Other publications TiSEM 221fefe0-241e-4914-b6bd-c, Tilburg University, School of Economics and Management.

  14. Carol Alexander & Stamatis Leontsinis, 2011. "Model Risk in Variance Swap Rates," ICMA Centre Discussion Papers in Finance icma-dp2011-10, Henley Business School, University of Reading.

    Cited by:

    1. Tsukahara, Fábio Yasuhiro & Kimura, Herbert & Sobreiro, Vinicius Amorim & Zambrano, Juan Carlos Arismendi, 2016. "Validation of default probability models: A stress testing approach," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 70-85.
    2. Kaeck, Andreas & Alexander, Carol, 2012. "Volatility dynamics for the S&P 500: Further evidence from non-affine, multi-factor jump diffusions," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 3110-3121.

  15. Andreas Kaeck & Carol Alexander, 2010. "VIX Dynamics with Stochastic Volatility of Volatility," ICMA Centre Discussion Papers in Finance icma-dp2010-11, Henley Business School, University of Reading.

    Cited by:

    1. Alexander Badran & Beniamin Goldys, 2015. "A Market Model for VIX Futures," Papers 1504.00428, arXiv.org.
    2. Martin Gremm, 2015. "The Stress-Dependent Random Walk," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 18(08), pages 1-16, December.
    3. Xin Zang & Jun Ni & Jing-Zhi Huang & Lan Wu, 2017. "Double-jump diffusion model for VIX: evidence from VVIX," Quantitative Finance, Taylor & Francis Journals, vol. 17(2), pages 227-240, February.
    4. Xin Zang & Jun Ni & Jing-Zhi Huang & Lan Wu, 2015. "Double-jump stochastic volatility model for VIX: evidence from VVIX," Papers 1506.07554, arXiv.org, revised Jul 2015.
    5. Kozarski, R., 2013. "Pricing and hedging in the VIX derivative market," Other publications TiSEM 221fefe0-241e-4914-b6bd-c, Tilburg University, School of Economics and Management.
    6. Sha Lin & Xin-Jiang He, 2022. "Analytically Pricing European Options under a New Two-Factor Heston Model with Regime Switching," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1069-1085, March.
    7. He, Xin-Jiang & Zhu, Song-Ping, 2016. "An analytical approximation formula for European option pricing under a new stochastic volatility model with regime-switching," Journal of Economic Dynamics and Control, Elsevier, vol. 71(C), pages 77-85.

  16. Andreas Kaeck & Carol Alexander, 2010. "Stochastic Volatility Jump-Diffusions for Equity Index Dynamics," ICMA Centre Discussion Papers in Finance icma-dp2010-06, Henley Business School, University of Reading.

    Cited by:

    1. Andreas Kaeck & Carol Alexander, 2010. "VIX Dynamics with Stochastic Volatility of Volatility," ICMA Centre Discussion Papers in Finance icma-dp2010-11, Henley Business School, University of Reading.

  17. Carol Alexander & Andreas Kaeck, 2010. "Does model fit matter for hedging? Evidence from FTSE 100 options," ICMA Centre Discussion Papers in Finance icma-dp2010-05, Henley Business School, University of Reading.

    Cited by:

    1. Tsuji, Chikashi, 2020. "Correlation and spillover effects between the US and international banking sectors: New evidence and implications for risk management," International Review of Financial Analysis, Elsevier, vol. 70(C).
    2. Samuel N. Cohen & Christoph Reisinger & Sheng Wang, 2022. "Hedging option books using neural-SDE market models," Papers 2205.15991, arXiv.org.
    3. Kaeck, Andreas & Seeger, Norman J., 2020. "VIX derivatives, hedging and vol-of-vol risk," European Journal of Operational Research, Elsevier, vol. 283(2), pages 767-782.
    4. Maciej Augustyniak & Mathieu Boudreault, 2017. "Mitigating Interest Rate Risk in Variable Annuities: An Analysis of Hedging Effectiveness under Model Risk," North American Actuarial Journal, Taylor & Francis Journals, vol. 21(4), pages 502-525, October.
    5. Benjamin Cheng & Christina Sklibosios Nikitopoulos & Erik Schlögl, 2019. "Interest rate risk in long‐dated commodity options positions: To hedge or not to hedge?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(1), pages 109-127, January.

  18. Carol Alexander & Jose Maria Sarabia, 2010. "Endogenizing Model Risk to Quantile Estimates," ICMA Centre Discussion Papers in Finance icma-dp2010-07, Henley Business School, University of Reading.

    Cited by:

    1. Lazar, Emese & Zhang, Ning, 2019. "Model risk of expected shortfall," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 74-93.

  19. Carol Alexander & Jose Maria Sarabia, 2010. "Generalized Beta-Generated Distributions," ICMA Centre Discussion Papers in Finance icma-dp2010-09, Henley Business School, University of Reading.

    Cited by:

    1. Francesca Greselin & Ričardas Zitikis, 2018. "From the Classical Gini Index of Income Inequality to a New Zenga-Type Relative Measure of Risk: A Modeller’s Perspective," Econometrics, MDPI, vol. 6(1), pages 1-20, January.
    2. Francesca Condino & Filippo Domma, 2017. "A new distribution function with bounded support: the reflected generalized Topp-Leone power series distribution," METRON, Springer;Sapienza Università di Roma, vol. 75(1), pages 51-68, April.
    3. Sanku Dey & Vikas Kumar Sharma & Mhamed Mesfioui, 2017. "A New Extension of Weibull Distribution with Application to Lifetime Data," Annals of Data Science, Springer, vol. 4(1), pages 31-61, March.
    4. Jiong Liu & R. A. Serota, 2022. "Rethinking Generalized Beta Family of Distributions," Papers 2209.05225, arXiv.org.
    5. Sajid Hussain & Muhammad Sajid Rashid & Mahmood Ul Hassan & Rashid Ahmed, 2022. "The Generalized Alpha Exponent Power Family of Distributions: Properties and Applications," Mathematics, MDPI, vol. 10(9), pages 1-19, April.
    6. Masoud Faridi & Majid Jafari Khaledi, 2022. "The polar-generalized normal distribution: properties, Bayesian estimation and applications," Statistical Papers, Springer, vol. 63(2), pages 571-603, April.
    7. Tommaso Lando & Lucio Bertoli-Barsotti, 2020. "Stochastic dominance relations for generalised parametric distributions obtained through composition," METRON, Springer;Sapienza Università di Roma, vol. 78(3), pages 297-311, December.
    8. Almalki, Saad J. & Nadarajah, Saralees, 2014. "Modifications of the Weibull distribution: A review," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 32-55.
    9. Fiaz Ahmad Bhatti & G. G. Hamedani & Mustafa Ç. Korkmaz & Munir Ahmad, 2018. "The transmuted geometric-quadratic hazard rate distribution: development, properties, characterizations and applications," Journal of Statistical Distributions and Applications, Springer, vol. 5(1), pages 1-23, December.
    10. Altemir Silva Braga & Gauss M. Cordeiro & Edwin M. M. Ortega & Giovana O. Silva, 2017. "The Odd Log-Logistic Student t Distribution: Theory and Applications," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 22(4), pages 615-639, December.
    11. Jiong Liu & R. A. Serota, 2023. "Rethinking Generalized Beta family of distributions," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 96(2), pages 1-14, February.
    12. Showkat Ahmad Lone & Tabassum Naz Sindhu & Marwa K. H. Hassan & Tahani A. Abushal & Sadia Anwar & Anum Shafiq, 2023. "Theoretical Structure and Applications of a Newly Enhanced Gumbel Type II Model," Mathematics, MDPI, vol. 11(8), pages 1-18, April.
    13. M. C. Jones, 2015. "On Families of Distributions with Shape Parameters," International Statistical Review, International Statistical Institute, vol. 83(2), pages 175-192, August.
    14. Bernard, Carole & De Gennaro Aquino, Luca & Levante, Lucia, 2021. "Optimal annuity demand for general expected utility agents," Insurance: Mathematics and Economics, Elsevier, vol. 101(PA), pages 70-79.
    15. José María Sarabia & Faustino Prieto & Vanesa Jordá & Stefan Sperlich, 2020. "A Note on Combining Machine Learning with Statistical Modeling for Financial Data Analysis," Risks, MDPI, vol. 8(2), pages 1-14, April.
    16. V. S. Akilandeswari & R. Poornima & V. Saavithri, 2017. "Lehmann-Type Laplace distribution-Type I software reliability growth model," OPSEARCH, Springer;Operational Research Society of India, vol. 54(2), pages 233-259, June.
    17. Saralees Nadarajah & Gauss Cordeiro & Edwin Ortega, 2013. "The exponentiated Weibull distribution: a survey," Statistical Papers, Springer, vol. 54(3), pages 839-877, August.
    18. Mehrzad Ghorbani & Seyed Fazel Bagheri & Mojtaba Alizadeh, 2017. "A New Family of Distributions: The Additive Modified Weibull Odd Log-logistic-G Poisson Family, Properties and Applications," Annals of Data Science, Springer, vol. 4(2), pages 249-287, June.
    19. Emanuela Ciapanna & Marco Taboga & Eliana Viviano, 2015. "Sectoral differences in managers’ compensation: insights from a matching model," Temi di discussione (Economic working papers) 1000, Bank of Italy, Economic Research and International Relations Area.
    20. José María Sarabia & Vanesa Jorda, 2020. "Lorenz Surfaces Based on the Sarmanov–Lee Distribution with Applications to Multidimensional Inequality in Well-Being," Mathematics, MDPI, vol. 8(11), pages 1-17, November.
    21. Harshita Kumawat & Kanak Modi & Pankaj Nagar, 2024. "Modi-Weibull Distribution: Inferential and Simulation Study," Annals of Data Science, Springer, vol. 11(6), pages 1975-1999, December.
    22. Ibrahim Elbatal & Francesca Condino & Filippo Domma, 2016. "Reflected Generalized Beta Inverse Weibull Distribution: definition and properties," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 78(2), pages 316-340, November.
    23. Beatriz R. Lanjoni & Edwin M. M. Ortega & Gauss M. Cordeiro, 2016. "Extended Burr XII Regression Models: Theory and Applications," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 21(1), pages 203-224, March.
    24. Amal S. Hassan & Said G. Nassr, 2019. "Power Lindley-G Family of Distributions," Annals of Data Science, Springer, vol. 6(2), pages 189-210, June.
    25. Gauss M. Cordeiro & Antonio E. Gomes & Cibele Q. da-Silva & Edwin M. M. Ortega, 2017. "A useful extension of the Burr III distribution," Journal of Statistical Distributions and Applications, Springer, vol. 4(1), pages 1-15, December.
    26. Shahid Mohammad, 2025. "X-exponential-G Family of Distributions With Applications," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 13(1), pages 1-40, January.
    27. Emrah Altun & Mustafa Ç. Korkmaz & Mahmoud El-Morshedy & Mohamed S. Eliwa, 2021. "A New Flexible Family of Continuous Distributions: The Additive Odd-G Family," Mathematics, MDPI, vol. 9(16), pages 1-17, August.
    28. Carol Alexander & Jose Maria Sarabia, 2010. "Endogenizing Model Risk to Quantile Estimates," ICMA Centre Discussion Papers in Finance icma-dp2010-07, Henley Business School, University of Reading.
    29. Mameli, Valentina, 2015. "The Kumaraswamy skew-normal distribution," Statistics & Probability Letters, Elsevier, vol. 104(C), pages 75-81.
    30. Emilio Gómez-Déniz & José María Sarabia, 2018. "A Family of Generalised Beta Distributions: Properties and Applications," Annals of Data Science, Springer, vol. 5(3), pages 401-420, September.
    31. Mariem Tounsi, 2020. "The Extended Matrix-Variate Beta Probability Distribution on Symmetric Matrices," Methodology and Computing in Applied Probability, Springer, vol. 22(2), pages 647-676, June.
    32. Greselin, Francesca & Zitikis, Ricardas, 2015. "Measuring economic inequality and risk: a unifying approach based on personal gambles, societal preferences and references," MPRA Paper 65892, University Library of Munich, Germany.
    33. Muhammad H Tahir & Gauss M. Cordeiro, 2016. "Compounding of distributions: a survey and new generalized classes," Journal of Statistical Distributions and Applications, Springer, vol. 3(1), pages 1-35, December.
    34. Prataviera, Fábio & Ortega, Edwin M.M. & Cordeiro, Gauss M. & Pescim, Rodrigo R. & Verssani, Bruna A.W., 2018. "A new generalized odd log-logistic flexible Weibull regression model with applications in repairable systems," Reliability Engineering and System Safety, Elsevier, vol. 176(C), pages 13-26.
    35. Boikanyo Makubate & Fastel Chipepa & Broderick Oluyede & Peter O. Peter, 2021. "The Marshall-Olkin Half Logistic-G Family of Distributions With Applications," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 10(2), pages 120-120, March.
    36. Muhammad H. Tahir & Muhammad Adnan Hussain & Gauss M. Cordeiro & M. El-Morshedy & M. S. Eliwa, 2020. "A New Kumaraswamy Generalized Family of Distributions with Properties, Applications, and Bivariate Extension," Mathematics, MDPI, vol. 8(11), pages 1-28, November.
    37. Oseghale O. I. & Akomolafe A. A. & Gayawan E., 2022. "Exponentiated Cubic Transmuted Weibull Distribution: Properties and Application," Academic Journal of Applied Mathematical Sciences, Academic Research Publishing Group, vol. 8(1), pages 1-11, 12-2021.
    38. Fastel Chipepa & Broderick O. Oluyede & Boikanyo Makubate, 2019. "A New Generalized Family of Odd Lindley-G Distributions With Application," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 8(6), pages 1-1, November.
    39. Gokarna R. Aryal & Keshav P. Pokhrel & Netra Khanal & Chris P. Tsokos, 2019. "Reliability Models Using the Composite Generalizers of Weibull Distribution," Annals of Data Science, Springer, vol. 6(4), pages 807-829, December.
    40. Ibrahim Elbatal & Farrukh Jamal & Christophe Chesneau & Mohammed Elgarhy & Sharifah Alrajhi, 2018. "The Modified Beta Gompertz Distribution: Theory and Applications," Mathematics, MDPI, vol. 7(1), pages 1-17, December.

  20. Carol Alexander & Alexander Rubinov & Markus Kalepky & Stamatis Leontsinis, 2010. "Regime-Dependent Smile-Adjusted Delta Hedging," ICMA Centre Discussion Papers in Finance icma-dp2010-10, Henley Business School, University of Reading.

    Cited by:

    1. Tsuji, Chikashi, 2020. "Correlation and spillover effects between the US and international banking sectors: New evidence and implications for risk management," International Review of Financial Analysis, Elsevier, vol. 70(C).
    2. Johannes Ruf & Weiguan Wang, 2020. "Hedging with Linear Regressions and Neural Networks," Papers 2004.08891, arXiv.org, revised Jun 2021.
    3. Kaeck, Andreas & Seeger, Norman J., 2020. "VIX derivatives, hedging and vol-of-vol risk," European Journal of Operational Research, Elsevier, vol. 283(2), pages 767-782.
    4. Xia, Kun & Yang, Xuewei & Zhu, Peng, 2023. "Delta hedging and volatility-price elasticity: A two-step approach," Journal of Banking & Finance, Elsevier, vol. 153(C).
    5. Maciej Augustyniak & Mathieu Boudreault, 2017. "Mitigating Interest Rate Risk in Variable Annuities: An Analysis of Hedging Effectiveness under Model Risk," North American Actuarial Journal, Taylor & Francis Journals, vol. 21(4), pages 502-525, October.
    6. Roberto Daluiso & Marco Pinciroli & Michele Trapletti & Edoardo Vittori, 2023. "CVA Hedging by Risk-Averse Stochastic-Horizon Reinforcement Learning," Papers 2312.14044, arXiv.org.
    7. Hull, John & White, Alan, 2017. "Optimal delta hedging for options," Journal of Banking & Finance, Elsevier, vol. 82(C), pages 180-190.

  21. Carol Alexander & Aanand Venkatramanan, 2008. "Analytic Approximations for Multi-Asset Option Pricing," ICMA Centre Discussion Papers in Finance icma-dp2009-05, Henley Business School, University of Reading, revised Jun 2009.

    Cited by:

    1. Emmanuel Hanert & Aanand Venkatramanan, 2008. "Meshfree Approximation for Multi-Asset Options," ICMA Centre Discussion Papers in Finance icma-dp2009-07, Henley Business School, University of Reading, revised Jun 2009.

  22. Carol Alexander & Emese Lazar, 2008. "Markov Switching GARCH Diffusion," ICMA Centre Discussion Papers in Finance icma-dp2008-01, Henley Business School, University of Reading.

    Cited by:

    1. Haas Markus, 2010. "Skew-Normal Mixture and Markov-Switching GARCH Processes," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-56, September.
    2. Bildirici, Melike & Ersin, Özgür, 2012. "Nonlinear volatility models in economics: smooth transition and neural network augmented GARCH, APGARCH, FIGARCH and FIAPGARCH models," MPRA Paper 40330, University Library of Munich, Germany, revised May 2012.

  23. Carol Alexander & Aanand Venkatramanan, 2007. "Analytic Approximations for Spread Options," ICMA Centre Discussion Papers in Finance icma-dp2007-11, Henley Business School, University of Reading.

    Cited by:

    1. Emmanuel Hanert & Aanand Venkatramanan, 2008. "Meshfree Approximation for Multi-Asset Options," ICMA Centre Discussion Papers in Finance icma-dp2009-07, Henley Business School, University of Reading, revised Jun 2009.
    2. Andrea Klimešová & Tomáš Václavík, 2016. "Gas Swing Options: Introduction and Pricing using Monte Carlo Methods," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2016(1), pages 15-32.

  24. Carol Alexander & Elizabeth Sheedy, 2007. "Model-Based Stress Tests: Linking Stress Tests to VaR for Market Risk," ICMA Centre Discussion Papers in Finance icma-dp2007-02, Henley Business School, University of Reading.

    Cited by:

    1. Allan Brace & Mark Lauer & Milo Rado, 2008. "A Stylised Model for Extreme Shocks: Four Moments of the Apocalypse," Research Paper Series 224, Quantitative Finance Research Centre, University of Technology, Sydney.
    2. Ali, Asghar & Daly, Kevin, 2010. "Macroeconomic determinants of credit risk: Recent evidence from a cross country study," International Review of Financial Analysis, Elsevier, vol. 19(3), pages 165-171, June.

  25. Carol Alexander & Andreza Barbosa, 2007. "Hedging and Cross-hedging ETFs," ICMA Centre Discussion Papers in Finance icma-dp2007-01, Henley Business School, University of Reading.

    Cited by:

    1. Leo Schubert & David Schubert, 2017. "Estimation of holding periods applied to the case of short and leveraged ETFs," Economic Analysis Working Papers (2002-2010). Atlantic Review of Economics (2011-2016), Colexio de Economistas de A Coruña, Spain and Fundación Una Galicia Moderna, vol. 1, pages 1-1, June.
    2. Leo Schubert, 2011. "Hedge ratios for short and leveraged ETFs," Economic Analysis Working Papers (2002-2010). Atlantic Review of Economics (2011-2016), Colexio de Economistas de A Coruña, Spain and Fundación Una Galicia Moderna, vol. 1, pages 1-1, June.

  26. Carol Alexander & Andreas Kaeck, 2006. "Regimes in CDS Spreads: A Markov Switching Model of iTraxx Europe Indices," ICMA Centre Discussion Papers in Finance icma-dp2006-08, Henley Business School, University of Reading.

    Cited by:

    1. Mustafa Akay & Berat Bayram & Abdullah Kazdal & Muhammed Hasan Yilmaz, 2020. "Investigating Regime-Dependent Dynamics in Country Risk Premium: Evidence from Turkey and Emerging Markets," CBT Research Notes in Economics 2008, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    2. Virginie Coudert & Mathieu Gex, 2010. "Disrupted links between credit default swaps, bonds and equities during the GM and Ford crisis in 2005," Applied Financial Economics, Taylor & Francis Journals, vol. 20(23), pages 1769-1792.
    3. Schreiber, Irene & Müller, Gernot & Klüppelberg, Claudia & Wagner, Niklas, 2012. "Equities, credits and volatilities: A multivariate analysis of the European market during the subprime crisis," International Review of Financial Analysis, Elsevier, vol. 24(C), pages 57-65.
    4. William Arrata & Alejandro Bernales & Virginie Coudert, 2013. "The Effects of Derivatives on Underlying Financial Markets: Equity Options, Commodity Derivatives and Credit Default Swaps," SUERF 50th Anniversary Volume Chapters, in: Morten Balling & Ernest Gnan (ed.), 50 Years of Money and Finance: Lessons and Challenges, chapter 13, pages 445-473, SUERF - The European Money and Finance Forum.
    5. Niels C. Thygesen & Robert N. McCauley & Guonan Ma & William R. White & Jakob de Haan & Willem van den End & Jon Frost & Christiaan Pattipeilohy & Mostafa Tabbae & Ernest Gnan & Morten Balling & Paul , 2013. "50 Years of Money and Finance: Lessons and Challenges," SUERF 50th Anniversary Volume - 50 Years of Money and Finance: Lessons and Challenges, SUERF - The European Money and Finance Forum, number 1 edited by Morten Balling & Ernest Gnan.
    6. Virginie Coudert & Mathieu Gex, 2011. "The Interactions Between the Credit Default Swap and the Bond Markets in Financial Turmoil," Working Papers 2011-02, CEPII research center.

  27. Carol Alexander & Leonardo M. Nogueira, 2006. "Hedging Options with Scale-Invariant Models," ICMA Centre Discussion Papers in Finance icma-dp2006-03, Henley Business School, University of Reading.

    Cited by:

    1. Pascucci, Andrea & Foschi, Paolo, 2006. "Path dependent volatility," MPRA Paper 973, University Library of Munich, Germany.

  28. Carol Alexander & Andreza Barbosa, 2005. "Is Minimum Variance Hedging Necessary for Equity Indices? A study of Hedging and Cross-Hedging Exchange Traded Funds," ICMA Centre Discussion Papers in Finance icma-dp2005-16, Henley Business School, University of Reading.

    Cited by:

    1. Staer, Arsenio & Sottile, Pedro, 2018. "Equivalent volume and comovement," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 143-157.

  29. Carol Alexander & Andreza Barbosa, 2005. "The Spider in the Hedge," ICMA Centre Discussion Papers in Finance icma-dp2005-05, Henley Business School, University of Reading.

    Cited by:

    1. John Cotter & Jim Hanly, 2011. "Hedging Effectiveness under Conditions of Asymmetry," Papers 1103.5411, arXiv.org.
    2. Carol Alexander & Andreza Barbosa, 2005. "Is Minimum Variance Hedging Necessary for Equity Indices? A study of Hedging and Cross-Hedging Exchange Traded Funds," ICMA Centre Discussion Papers in Finance icma-dp2005-16, Henley Business School, University of Reading.
    3. Alexander, C. & Barbosa, A., 2008. "Hedging index exchange traded funds," Journal of Banking & Finance, Elsevier, vol. 32(2), pages 326-337, February.
    4. Spencer, Simon & Bredin, Don & Conlon, Thomas, 2018. "Energy and agricultural commodities revealed through hedging characteristics: Evidence from developing and mature markets," Journal of Commodity Markets, Elsevier, vol. 9(C), pages 1-20.
    5. S. Narend & M. Thenmozhi, 2019. "Do Country ETFs Influence Foreign Stock Market Index? Evidence from India ETFs," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(1_suppl), pages 59-86, April.

  30. Carol Alexander & Anca Dimitriu, 2005. "Detecting Switching Strategies in Equity Hedge Funds," ICMA Centre Discussion Papers in Finance icma-dp2005-07, Henley Business School, University of Reading.

    Cited by:

    1. Hammoudeh, Shawkat & Bhar, Ramaprasad & Thompson, Mark A., 2010. "Re-examining the dynamic causal oil-macroeconomy relationship," International Review of Financial Analysis, Elsevier, vol. 19(4), pages 298-305, September.
    2. Celso Brunetti & Jeffrey H. Harris & Bahattin Büyükşahin, 2024. "Crude Oil Price Movements and Institutional Traders," Commodities, MDPI, vol. 3(1), pages 1-23, February.
    3. Johannes Hauptmann & Anja Hoppenkamps & Aleksey Min & Franz Ramsauer & Rudi Zagst, 2014. "Forecasting market turbulence using regime-switching models," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(2), pages 139-164, May.
    4. Giamouridis, Daniel & Vrontos, Ioannis D., 2007. "Hedge fund portfolio construction: A comparison of static and dynamic approaches," Journal of Banking & Finance, Elsevier, vol. 31(1), pages 199-217, January.
    5. Anastasios G. Malliaris & Ramaprasad Bhar, 2011. "Dividends, Momentum, and Macroeconomic Variables as Determinants of the US Equity Premium Across Economic Regimes," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 3(1), pages 27-53, April.

  31. Carol Alexander & Anca Dimitriu, 2004. "The Art of Investing in Hedge Funds: Fund Selection and Optimal Allocations," ICMA Centre Discussion Papers in Finance icma-dp2004-01, Henley Business School, University of Reading.

    Cited by:

    1. Jawadi, Fredj & Khanniche, Sabrina, 2012. "Modeling hedge fund exposure to risk factors," Economic Modelling, Elsevier, vol. 29(4), pages 1003-1018.
    2. Lee, Tae Kyun & Sohn, So Young, 2023. "Alpha-factor integrated risk parity portfolio strategy in global equity fund of funds," International Review of Financial Analysis, Elsevier, vol. 88(C).
    3. Harris, Richard D.F. & Mazibas, Murat, 2010. "Dynamic hedge fund portfolio construction," International Review of Financial Analysis, Elsevier, vol. 19(5), pages 351-357, December.
    4. Panopoulou, Ekaterini & Vrontos, Spyridon, 2015. "Hedge fund return predictability; To combine forecasts or combine information?," Journal of Banking & Finance, Elsevier, vol. 56(C), pages 103-122.
    5. Sheng Li & Oliver Linton, 2007. "Evaluating hedge fund performance: a stochastic dominance approach," FMG Discussion Papers dp591, Financial Markets Group.
    6. Juliane Proelss & Denis Schweizer, 2014. "Polynomial goal programming and the implicit higher moment preferences of US institutional investors in hedge funds," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(1), pages 1-28, February.
    7. Dieter G. Kaiser & Denis Schweizer & Lue Wu, 2012. "Efficient Hedge Fund Strategy Allocations – Systematic Framework for Investors that Incorporates Higher Moments," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 21(5), pages 241-260, December.
    8. El Kalak, Izidin & Azevedo, Alcino & Hudson, Robert, 2016. "Reviewing the hedge funds literature I: Hedge funds and hedge funds' managerial characteristics," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 85-97.
    9. Giamouridis, Daniel & Vrontos, Ioannis D., 2007. "Hedge fund portfolio construction: A comparison of static and dynamic approaches," Journal of Banking & Finance, Elsevier, vol. 31(1), pages 199-217, January.
    10. Spyridon D Vrontos & Ioannis D Vrontos & Loukia Meligkotsidou, 2013. "Asset-liability management for pension funds in a time-varying volatility environment," Journal of Asset Management, Palgrave Macmillan, vol. 14(5), pages 306-333, October.
    11. Vrontos, Spyridon D. & Vrontos, Ioannis D. & Giamouridis, Daniel, 2008. "Hedge fund pricing and model uncertainty," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 741-753, May.

  32. Carol Alexander & Leonardo Nogueira, 2004. "Stochastic Local Volatility," ICMA Centre Discussion Papers in Finance icma-dp2008-02, Henley Business School, University of Reading, revised Mar 2008.

    Cited by:

    1. Aur'elien Alfonsi & C'eline Labart & J'er^ome Lelong, 2013. "Stochastic Local Intensity Loss Models with Interacting Particle Systems," Papers 1302.2009, arXiv.org.
    2. Antonie Kotzé & Rudolf Oosthuizen & Edson Pindza, 2015. "Implied and Local Volatility Surfaces for South African Index and Foreign Exchange Options," JRFM, MDPI, vol. 8(1), pages 1-40, January.
    3. Julio Guerrero & Giuseppe Orlando, 2022. "Stochastic Local Volatility models and the Wei-Norman factorization method," Papers 2201.11241, arXiv.org.

  33. Carol Alexander & Leonardo M. Nogueira, 2004. "Hedging with Stochastic and Local Volatility," ICMA Centre Discussion Papers in Finance icma-dp2004-10, Henley Business School, University of Reading, revised Dec 2004.

    Cited by:

    1. Hilliard, Jimmy E. & Hilliard, Jitka, 2019. "A jump-diffusion model for pricing and hedging with margined options: An application to Brent crude oil contracts," Journal of Banking & Finance, Elsevier, vol. 98(C), pages 137-155.
    2. Abdelkoddousse Ahdida & Aurélien Alfonsi, 2013. "A Mean-Reverting SDE on Correlation matrices," Post-Print hal-00617111, HAL.
    3. Lu, Xiaoping & Putri, Endah R.M., 2020. "A semi-analytic valuation of American options under a two-state regime-switching economy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).

  34. Carol Alexander & Anca Dimitriu, 2004. "A Comparison of Cointegration & Tracking Error Models for Mutual Funds & Hedge Funds," ICMA Centre Discussion Papers in Finance icma-dp2004-03, Henley Business School, University of Reading.

    Cited by:

    1. Roßbach, Peter & Karlow, Denis, 2011. "The stability of traditional measures of index tracking quality," Frankfurt School - Working Paper Series 164, Frankfurt School of Finance and Management.
    2. Mayordomo, Sergio & Peña, Juan Ignacio & Romo, Juan, 2009. "Are There Arbitrage Opportunities in Credit Derivatives Markets? A New Test and an Application to the Case of CDS and ASPs," DEE - Working Papers. Business Economics. WB wb096303, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    3. Subhrangshu Sekhar Sarkar & Santanu Dutta & Pinky Dutta, 2013. "A Review of Indian Index Funds," Global Business Review, International Management Institute, vol. 14(1), pages 89-98, February.

  35. Carol Alexander & Anca Dimitriu, 2003. "Equity Indexing: Conitegration and Stock Price Dispersion: A Regime Switiching Approach to market Efficiency," ICMA Centre Discussion Papers in Finance icma-dp2003-02, Henley Business School, University of Reading.

    Cited by:

    1. Herwany, Aldrin & Febrian, Erie, 2008. "Co-integration and Causality Analysis on Developed Asian Markets For Risk Management & Portfolio Selection," MPRA Paper 10259, University Library of Munich, Germany.
    2. Lior Sidi, 2020. "Improving S&P stock prediction with time series stock similarity," Papers 2002.05784, arXiv.org.
    3. Erie Febrian & Aldrin Herwany, 2010. "Volatility Forecasting Models and Market Co-Integration: A Study on South-East Asian Markets," Working Papers in Business, Management and Finance 201005, Department of Management and Business, Padjadjaran University, revised May 2010.
    4. Febrian, Erie & Herwany, Aldrin, 2007. "Co-integration and Causality Among Jakarta Stock Exchange, Singapore Stock Exchange, and Kuala Lumpur Stock Exchange," MPRA Paper 9632, University Library of Munich, Germany.
    5. Krishna M. Kasibhatla & David Stewart & Swapan Sen & John Malindretos, 2006. "Are Daily Stock Price Indices in the Major European Equity Markets Cointegrated? Tests and Evidence," The American Economist, Sage Publications, vol. 50(2), pages 47-57, October.

  36. Carol Alexandra & Andrew Scourse, 2003. "Bivariate Normal Mixture Spread Option Valuation," ICMA Centre Discussion Papers in Finance icma-dp2003-15, Henley Business School, University of Reading.

    Cited by:

    1. Steffen Mahringer & Marcel Prokopczuk, 2010. "An Empirical Model Comparison for Valuing Crack Spread Options," ICMA Centre Discussion Papers in Finance icma-dp2010-01, Henley Business School, University of Reading.
    2. Kole, H.J.W.G. & Koedijk, C.G. & Verbeek, M.J.C.M., 2004. "The effects of systemic crises when investors can be crisis ignorant," ERIM Report Series Research in Management ERS-2004-027-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. Jing Li & Lingfei Li & Rafael Mendoza-Arriaga, 2016. "Additive subordination and its applications in finance," Finance and Stochastics, Springer, vol. 20(3), pages 589-634, July.
    4. Dieter G. Kaiser & Denis Schweizer & Lue Wu, 2012. "Efficient Hedge Fund Strategy Allocations – Systematic Framework for Investors that Incorporates Higher Moments," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 21(5), pages 241-260, December.
    5. Tavin, Bertrand, 2015. "Detection of arbitrage in a market with multi-asset derivatives and known risk-neutral marginals," Journal of Banking & Finance, Elsevier, vol. 53(C), pages 158-178.
    6. Xenos Chang-Shuo Lin & Daniel Wei-Chung Miao & Emma En-Tze Chang, 2024. "Testing the Closed-Form Spread Option Pricing Formula Based on Gauss-Hermite Quadrature for a Jump-Diffusion Model," Computational Economics, Springer;Society for Computational Economics, vol. 64(5), pages 2879-2908, November.
    7. Douglas Cumming & Lars Helge Haß & Denis Schweizer, 2014. "Strategic Asset Allocation and the Role of Alternative Investments," European Financial Management, European Financial Management Association, vol. 20(3), pages 521-547, June.

  37. Carol Alexander & Dimitri Lvov, 2003. "Statistical Properties of Forward Libor Rates," ICMA Centre Discussion Papers in Finance icma-dp2003-03, Henley Business School, University of Reading.

    Cited by:

    1. Roger Lord & Antoon Pelsser, 2007. "Level-Slope-Curvature - Fact or Artefact?," Applied Mathematical Finance, Taylor & Francis Journals, vol. 14(2), pages 105-130.
    2. Marcio Laurini & Alberto Ohashi, 2014. "A Noisy Principal Component Analysis for Forward Rate Curves," Papers 1408.6279, arXiv.org.
    3. Carol Alexandra, 2002. "Common Correlation and Calibrating the Lognormal Forward Rate Model," ICMA Centre Discussion Papers in Finance icma-dp2002-18, Henley Business School, University of Reading, revised Jan 2003.

  38. Carol Alexander & Anca Dimitriu, 2003. "Sources of Over-performance in Equity Markets: Mean Reversion, Common Trends and Herding," ICMA Centre Discussion Papers in Finance icma-dp2003-08, Henley Business School, University of Reading, revised Oct 2003.

    Cited by:

    1. Hang Zhang & Evangelos Giouvris, 2022. "Measures of Volatility, Crises, Sentiment and the Role of U.S. ‘Fear’ Index (VIX) on Herding in BRICS (2007–2021)," JRFM, MDPI, vol. 15(3), pages 1-42, March.

  39. Carol Alexander & Sujit Narayanan, 2001. "Option Pricing with Normal Mixture Returns: Modelling Excess Kurtosis and Uncertanity in Volatility," ICMA Centre Discussion Papers in Finance icma-dp2001-10, Henley Business School, University of Reading, revised Dec 2001.

    Cited by:

    1. Igor Halperin, 2020. "Non-Equilibrium Skewness, Market Crises, and Option Pricing: Non-Linear Langevin Model of Markets with Supersymmetry," Papers 2011.01417, arXiv.org, revised Dec 2021.
    2. Kole, H.J.W.G. & Koedijk, C.G. & Verbeek, M.J.C.M., 2004. "The effects of systemic crises when investors can be crisis ignorant," ERIM Report Series Research in Management ERS-2004-027-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. Takaishi, Tetsuya, 2025. "Multifractality and sample size influence on Bitcoin volatility patterns," Finance Research Letters, Elsevier, vol. 74(C).
    4. En-Der Su & Feng-Jeng Lin, 2012. "Two-State Volatility Transition Pricing and Hedging of TXO Options," Computational Economics, Springer;Society for Computational Economics, vol. 39(3), pages 259-287, March.
    5. Halperin, Igor, 2022. "Non-equilibrium skewness, market crises, and option pricing: Non-linear Langevin model of markets with supersymmetry," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 594(C).
    6. Damiano Brigo, 2008. "The general mixture-diffusion SDE and its relationship with an uncertain-volatility option model with volatility-asset decorrelation," Papers 0812.4052, arXiv.org.
    7. Fleming, Jeff & Paye, Bradley S., 2011. "High-frequency returns, jumps and the mixture of normals hypothesis," Journal of Econometrics, Elsevier, vol. 160(1), pages 119-128, January.

  40. Carol Alexander & Ian Giblin & Wayne Weddington III, 2001. "Cointegration and Asset Allocation: A New Fund Strategy," ICMA Centre Discussion Papers in Finance icma-dp2001-03, Henley Business School, University of Reading.

    Cited by:

    1. Ali K k olak & Figen B y kak n & Necla Ilter Kucukcolak, 2019. "Cointegration of Equity and Gold Markets: Evidence from Turkey," International Journal of Economics and Financial Issues, Econjournals, vol. 9(2), pages 32-40.
    2. Mayordomo, Sergio & Peña, Juan Ignacio & Romo, Juan, 2009. "Are There Arbitrage Opportunities in Credit Derivatives Markets? A New Test and an Application to the Case of CDS and ASPs," DEE - Working Papers. Business Economics. WB wb096303, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.

  41. Carol Alexander, 2000. "Orthogonal Methods for Generating Large Positive Semi-Definite Covariance Matrices," ICMA Centre Discussion Papers in Finance icma-dp2000-06, Henley Business School, University of Reading.

    Cited by:

    1. Julien Chevallier & Sofiane Aboura, 2014. "Cross-market index with Factor-DCC," Post-Print hal-01531234, HAL.
    2. Sébastien Laurent & Jeroen V.K. Rombouts & Francesco Violante, 2010. "On the Forecasting Accuracy of Multivariate GARCH Models," Cahiers de recherche 1021, CIRPEE.
    3. Julien Chevallier & Sofiane Aboura, 2015. "Geographical Diversification with a World Volatility Index," Post-Print hal-01529755, HAL.
    4. Borgsen, Sina & Glaser, Markus, 2005. "Diversifikationseffekte durch Small und Mid Caps?," Sonderforschungsbereich 504 Publications 05-10, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    5. Borgsen, Sina & Glaser, Markus, 2005. "Diversifikationseffekte durch small und mid caps? : Eine empirische Untersuchung basierend auf europäischen Aktienindizes," Papers 05-10, Sonderforschungsbreich 504.
    6. Yuta Kuroda & Takaki Sato & Yasumasa Matsuda, 2024. "The role of prosociality and social capital in changes in subjective well-being during the COVID-19 pandemic," DSSR Discussion Papers 142, Graduate School of Economics and Management, Tohoku University.
    7. Sofiane Aboura & Julien Chevallier, 2015. "Cross-market volatility index with Factor-DCC," Post-Print halshs-01348723, HAL.
    8. Panayiotis F. Diamandis & Anastassios A. Drakos & Georgios P. Kouretas & Leonidas P. Zarangas, 2012. "Asset allocation in the Athens stock exchange: a variance sensitivity analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 17(2), pages 167-181, April.
    9. Sébastien Laurent & Jeroen Rombouts & Francesco Violente, 2009. "On Loss Functions and Ranking Forecasting Performances of Multivariate Volatility Models," CIRANO Working Papers 2009s-45, CIRANO.
    10. Sofiane Aboura & Julien Chevallier, 2014. "The cross-market index for volatility surprise," Journal of Asset Management, Palgrave Macmillan, vol. 15(1), pages 7-23, February.
    11. Marshall, Andrew & Maulana, Tubagus & Tang, Leilei, 2009. "The estimation and determinants of emerging market country risk and the dynamic conditional correlation GARCH model," International Review of Financial Analysis, Elsevier, vol. 18(5), pages 250-259, December.
    12. Aboura, Sofiane & Chevallier, Julien, 2015. "A cross-volatility index for hedging the country risk," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 25-41.
    13. Płuciennik Piotr, 2012. "Influence of the American Financial Market on Other Markets During the Subprime Crisis," Folia Oeconomica Stetinensia, Sciendo, vol. 12(2), pages 19-30, December.
    14. Díaz, Antonio & Escribano, Ana & Esparcia, Carlos, 2024. "Sustainable risk preferences on asset allocation: a higher order optimal portfolio study," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
    15. Alfredo Trespalacios Carrasquilla & Jos� Miguel S�nchez, 2018. "Sobre la volatilidad de la curva de rendimientos del mercado colombiano de deuda pública," Revista Ecos de Economía, Universidad EAFIT, vol. 22(46), pages 28-59.

  42. Carol Alexander, 2000. "Bayesian Methods for Measuring Operational Risk," ICMA Centre Discussion Papers in Finance icma-dp2000-02, Henley Business School, University of Reading.

    Cited by:

  43. Alexander, Carol & John Wyeth, 1995. "Seasonal price movements and unit roots in Indonesian rice market integration," Discussion Papers in Economics 01/95, Department of Economics, University of Sussex Business School.

    Cited by:

    1. Asuming-Brempong, Samuel & Osei-Asare, Yaw Bonsu, 2008. "Has Imported Rice Crowded-out Domestic Rice Production in Ghana? What has Been the Role of Policy?," 2007 Second International Conference, August 20-22, 2007, Accra, Ghana 52002, African Association of Agricultural Economists (AAAE).
    2. Theingi Myint & Siegfried Bauer, 2010. "Market Integration and Price Causality in the Myanmar Rice Market," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 7(2), pages 91-105, December.
    3. Myint, Theingi & Bauer, Siegfried, . "Market Integration and Price Causality in the Myanmar Rice Market," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 7(2), pages 1-15.

  44. Alexander, Carol & John Wyeth, 1995. "Seasonal price movements and unit roots in Indonesian rice market integration," Discussion Papers in Economics 0195, Department of Economics, University of Sussex Business School.

    Cited by:

    1. Asuming-Brempong, Samuel & Osei-Asare, Yaw Bonsu, 2008. "Has Imported Rice Crowded-out Domestic Rice Production in Ghana? What has Been the Role of Policy?," 2007 Second International Conference, August 20-22, 2007, Accra, Ghana 52002, African Association of Agricultural Economists (AAAE).
    2. Theingi Myint & Siegfried Bauer, 2010. "Market Integration and Price Causality in the Myanmar Rice Market," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 7(2), pages 91-105, December.
    3. Myint, Theingi & Bauer, Siegfried, . "Market Integration and Price Causality in the Myanmar Rice Market," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 7(2), pages 1-15.

  45. Alexander, Carol & W Ledermann, 1994. "Are Nash bargaining wage agreements unique: an investigation into bargaining sets for firm-union negotiations," Discussion Papers in Economics 12/94, Department of Economics, University of Sussex Business School.

    Cited by:

    1. Erkki Koskela & Rune Stenbacka, 2004. "Profit Sharing, Credit Market Imperfections and Equilibrium Unemployment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 106(4), pages 677-701, December.
    2. Luciano Fanti & Domenico Buccella, 2018. "Union–Firm Bargaining Agenda Revisited: When Unions Have Distinct Preferences," Bulletin of Economic Research, Wiley Blackwell, vol. 70(1), pages 35-50, January.
    3. Claus‐Jochen Haake & Thorsten Upmann & Papatya Duman, 2023. "Wage bargaining and employment revisited: separability and efficiency in collective bargaining," Scandinavian Journal of Economics, Wiley Blackwell, vol. 125(2), pages 403-440, April.
    4. Harbaugh, Rick, 2005. "The effect of employee stock ownership on wage and employment bargaining," Journal of Comparative Economics, Elsevier, vol. 33(3), pages 565-583, September.
    5. Claus-Jochen Haake & Thorsten Upmann & Papatya Duman, 2020. "Wage Bargaining and Employment Revisited: Separability and Efficiency in Collective Bargaining," CESifo Working Paper Series 8422, CESifo.
    6. L. Monroy & V. Rubiales & A. M. Mármol, 2017. "The conservative Kalai–Smorodinsky solution for multiple scenario bargaining," Annals of Operations Research, Springer, vol. 251(1), pages 285-299, April.
    7. Claus-Jochen Haake & Thorsten Upmann & Papatya Duman, 2019. "The Decomposability of the Nash Bargaining Solution in Labor Markets," Working Papers CIE 128, Paderborn University, CIE Center for International Economics.

  46. Alexander, Carol, 1993. "Common volatility in the foreign exchange market," Discussion Papers in Economics 4/93, Department of Economics, University of Sussex Business School.

    Cited by:

    1. Kühl, Michael, 2009. "Excess comovements between the Euro/US dollar and British pound/US dollar exchange rates," University of Göttingen Working Papers in Economics 89, University of Goettingen, Department of Economics.
    2. Engle, Robert F. & Marcucci, Juri, 2006. "A long-run Pure Variance Common Features model for the common volatilities of the Dow Jones," Journal of Econometrics, Elsevier, vol. 132(1), pages 7-42, May.

  47. Alexander, C O & A Johnson, 1992. "Are foreign exchange markets really efficient?," Discussion Papers in Economics 1092, Department of Economics, University of Sussex Business School.

    Cited by:

    1. Charles Engel, 1995. "The Forward Discount Anomaly and the Risk Premium: A Survey of Recent Evidence," NBER Working Papers 5312, National Bureau of Economic Research, Inc.
    2. John T. Barkoulas & Christopher F. Baum & Atreya Chakraborty, 2000. "Forward Premiums and Market Efficiency: Panel Unit-root Evidence from the Term Structure of Forward Premiums," Boston College Working Papers in Economics 461, Boston College Department of Economics, revised 13 Jun 2001.
    3. Chin Lee & M. Azali, 2010. "Currency Linkages Among Asean," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 55(03), pages 459-470.
    4. Duan, Jin-Chuan & Pliska, Stanley R., 2004. "Option valuation with co-integrated asset prices," Journal of Economic Dynamics and Control, Elsevier, vol. 28(4), pages 727-754, January.
    5. Kühl, Michael, 2010. "Bivariate cointegration of major exchange rates, cross-market efficiency and the introduction of the Euro," Journal of Economics and Business, Elsevier, vol. 62(1), pages 1-19, January.
    6. Sarwar, Ghulam, 1997. "Efficiency of black markets in foreign currencies in Southeast Asia," Journal of Multinational Financial Management, Elsevier, vol. 7(4), pages 333-344, December.
    7. Shyh-Wei Chen, 2010. "Testing the hypothesis of market efficiency in the Taiwan-US forward exchange market since 1990," Applied Economics, Taylor & Francis Journals, vol. 42(1), pages 121-132.
    8. Palazzi, Rafael Baptista & Schich, Sebastian & de Genaro, Alan, 2025. "Stablecoins as anchors? Unraveling information flow dynamics between pegged and unpegged crypto-assets and fiat currencies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 99(C).
    9. Sequeira, John M., 1997. "Econometric modelling of long-run relationships in the Singapore currency futures market," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 421-427.
    10. Montserrat Ferre & Stephen Hall, 2002. "Foreign exchange market efficiency and cointegration," Applied Financial Economics, Taylor & Francis Journals, vol. 12(2), pages 131-139.
    11. Tse, Y. K. & Ng, L. K., 1997. "The cointegration of Asian currencies revisited," Japan and the World Economy, Elsevier, vol. 9(1), pages 109-114, March.

  48. Carol Alexander, "undated". "Principal Component Analysis of Volatility Smiles and Skews," ICMA Centre Discussion Papers in Finance icma-dp2000-10, Henley Business School, University of Reading, revised Jun 2000.

    Cited by:

    1. Robert Stok & Paul Bilokon, 2023. "From Deep Filtering to Deep Econometrics," Papers 2311.06256, arXiv.org.

Articles

  1. Carol Alexander & Xi Chen & Jun Deng & Qi Fu, 2025. "Price Discovery and Efficiency in Uniswap Liquidity Pools," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(8), pages 1023-1048, August.

    Cited by:

    1. Jimmy Risk & Shen-Ning Tung & Tai-Ho Wang, 2025. "Dynamics of Liquidity Surfaces in Uniswap v3," Papers 2509.05013, arXiv.org.

  2. Alexander, Carol & Chen, Xi & Deng, Jun & Wang, Tianyi, 2024. "Arbitrage opportunities and efficiency tests in crypto derivatives," Journal of Financial Markets, Elsevier, vol. 71(C).

    Cited by:

    1. Tak Kuen Siu, 2025. "Market Consistent Valuation for Bitcoin Options With Long Memory in Conditional Volatility and Conditional Non‐Normality," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(8), pages 917-945, August.

  3. C. Alexander & M. Coulon & Y. Han & X. Meng, 2024. "Evaluating the discrimination ability of proper multi-variate scoring rules," Annals of Operations Research, Springer, vol. 334(1), pages 857-883, March.
    See citations under working paper version above.
  4. Alexander, Carol & Deng, Jun & Zou, Bin, 2023. "Hedging with automatic liquidation and leverage selection on bitcoin futures," European Journal of Operational Research, Elsevier, vol. 306(1), pages 478-493.

    Cited by:

    1. Martin M. Bojaj, 2025. "Dynamic effects of blockchain on financial markets: evidence from TVP-Bayesian VAR with a connectedness approach," Empirical Economics, Springer, vol. 68(5), pages 2159-2197, May.
    2. Farag, Hisham & Luo, Di & Yarovaya, Larisa & Zieba, Damian, 2025. "Returns from liquidity provision in cryptocurrency markets," Journal of Banking & Finance, Elsevier, vol. 175(C).
    3. Erdong Chen & Mengzhong Ma & Zixin Nie, 2024. "Perpetual future contracts in centralized and decentralized exchanges: Mechanism and traders’ behavior," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-36, December.
    4. Nipun Agarwal & Pornpit Wongthongtham & Neerajkumari Khairwal & Kevin Coutinho, 2023. "Blockchain Application to Financial Market Clearing and Settlement Systems," JRFM, MDPI, vol. 16(10), pages 1-19, October.
    5. Chen, Muying & Zhang, Xinyu & Wei, Yunjie & Wang, Shouyang, 2025. "What determines Bitcoin's price over the past decade?," International Review of Financial Analysis, Elsevier, vol. 103(C).
    6. Erdong Chen & Mengzhong Ma & Zixin Nie, 2024. "Exploring the Impact: How Decentralized Exchange Designs Shape Traders' Behavior on Perpetual Future Contracts," Papers 2402.03953, arXiv.org, revised Apr 2024.
    7. Alexander, Carol & Chen, Xi & Deng, Jun & Wang, Tianyi, 2024. "Arbitrage opportunities and efficiency tests in crypto derivatives," Journal of Financial Markets, Elsevier, vol. 71(C).

  5. Carol Alexander & Arben Imeraj, 2023. "Delta hedging bitcoin options with a smile," Quantitative Finance, Taylor & Francis Journals, vol. 23(5), pages 799-817, May.

    Cited by:

    1. Elisa Al`os & Eulalia Nualart & Makar Pravosud, 2023. "On the implied volatility of Inverse options under stochastic volatility models," Papers 2401.00539, arXiv.org, revised Apr 2025.
    2. Brini, Alessio & Lenz, Jimmie, 2024. "Pricing cryptocurrency options with machine learning regression for handling market volatility," Economic Modelling, Elsevier, vol. 136(C).
    3. Lei Zhao & Lin Cai & Wu-Sheng Lu, 2025. "Adaptive Nesterov Accelerated Distributional Deep Hedging for Efficient Volatility Risk Management," Papers 2502.17777, arXiv.org.
    4. Felföldi-Szűcs, Nóra & Králik, Balázs & Váradi, Kata, 2024. "Put–call parity in a crypto option market — Evidence from Binance," Finance Research Letters, Elsevier, vol. 61(C).
    5. Maciej Wysocki & Robert 'Slepaczuk, 2024. "Construction and Hedging of Equity Index Options Portfolios," Papers 2407.13908, arXiv.org.
    6. Carol Alexander & Ding Chen & Arben Imeraj, 2023. "Crypto quanto and inverse options," Mathematical Finance, Wiley Blackwell, vol. 33(4), pages 1005-1043, October.
    7. Alessio Brini & Jimmie Lenz, 2024. "A Comparison of Cryptocurrency Volatility-benchmarking New and Mature Asset Classes," Papers 2404.04962, arXiv.org.

  6. Carol Alexander & Michael Dakos, 2023. "Assessing the accuracy of exponentially weighted moving average models for Value-at-Risk and Expected Shortfall of crypto portfolios," Quantitative Finance, Taylor & Francis Journals, vol. 23(3), pages 393-427, March.

    Cited by:

    1. Fantazzini, Dean, 2024. "Adaptive Conformal Inference for computing Market Risk Measures: an Analysis with Four Thousands Crypto-Assets," MPRA Paper 121214, University Library of Munich, Germany.

  7. Carol Alexander & Ding Chen & Arben Imeraj, 2023. "Crypto quanto and inverse options," Mathematical Finance, Wiley Blackwell, vol. 33(4), pages 1005-1043, October.

    Cited by:

    1. Tak Kuen Siu, 2025. "Market Consistent Valuation for Bitcoin Options With Long Memory in Conditional Volatility and Conditional Non‐Normality," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(8), pages 917-945, August.
    2. Alexander, Carol & Chen, Xi & Deng, Jun & Wang, Tianyi, 2024. "Arbitrage opportunities and efficiency tests in crypto derivatives," Journal of Financial Markets, Elsevier, vol. 71(C).

  8. Alexander, Carol & Deng, Jun & Feng, Jianfen & Wan, Huning, 2023. "Net buying pressure and the information in bitcoin option trades," Journal of Financial Markets, Elsevier, vol. 63(C).
    See citations under working paper version above.
  9. Carol Alexander & Daniel F. Heck & Andreas Kaeck, 2022. "The Role of Binance in Bitcoin Volatility Transmission," Applied Mathematical Finance, Taylor & Francis Journals, vol. 29(1), pages 1-32, January.
    See citations under working paper version above.
  10. Carol Alexander & Xi Chen, 2021. "Model risk in real option valuation," Annals of Operations Research, Springer, vol. 299(1), pages 1025-1056, April.
    See citations under working paper version above.
  11. Alexander, Carol & Chen, Xi & Ward, Charles, 2021. "Risk-adjusted valuation for real option decisions," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 1046-1064.
    See citations under working paper version above.
  12. Alexander, Carol & Lazar, Emese & Stanescu, Silvia, 2021. "Analytic moments for GJR-GARCH (1, 1) processes," International Journal of Forecasting, Elsevier, vol. 37(1), pages 105-124.

    Cited by:

    1. Ma, Junmei & Wang, Chen & Xu, Wei, 2025. "A new lattice approach for risk-minimization hedging under generalized autoregressive conditional heteroskedasticity models," European Journal of Operational Research, Elsevier, vol. 321(3), pages 1021-1035.
    2. Carnero, M. Angeles & León, Angel & Ñíguez, Trino-Manuel, 2023. "Skewness in energy returns: estimation, testing and retain-->implications for tail risk," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 178-189.
    3. James Ming Chen & Mobeen Ur Rehman, 2021. "A Pattern New in Every Moment: The Temporal Clustering of Markets for Crude Oil, Refined Fuels, and Other Commodities," Energies, MDPI, vol. 14(19), pages 1-58, September.
    4. Chen, James Ming & Rehman, Mobeen Ur & Vo, Xuan Vinh, 2021. "Clustering commodity markets in space and time: Clarifying returns, volatility, and trading regimes through unsupervised machine learning," Resources Policy, Elsevier, vol. 73(C).
    5. Gupta, Rakesh & Haddad, Sama & Selvanathan, E.A., 2024. "Global power and Stock market co-movements: A study of G20 markets," Global Finance Journal, Elsevier, vol. 62(C).
    6. Elchin Suleymanov & Magsud Gubadli & Ulvi Yagubov, 2024. "Test of Volatile Behaviors with the Asymmetric Stochastic Volatility Model: An Implementation on Nasdaq-100," Risks, MDPI, vol. 12(5), pages 1-20, May.
    7. Carnero, M. Ángeles & León, Ángel & Ñíguez, Trino-Manuel, 2025. "New bounds for tail risk measures," Finance Research Letters, Elsevier, vol. 75(C).
    8. Cristiana Tudor & Robert Sova, 2025. "An automated adaptive trading system for enhanced performance of emerging market portfolios," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-39, December.

  13. Carol Alexander & Jaehyuk Choi & Heungju Park & Sungbin Sohn, 2020. "BitMEX bitcoin derivatives: Price discovery, informational efficiency, and hedging effectiveness," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 23-43, January.

    Cited by:

    1. Alexander, Carol & Deng, Jun & Zou, Bin, 2023. "Hedging with automatic liquidation and leverage selection on bitcoin futures," European Journal of Operational Research, Elsevier, vol. 306(1), pages 478-493.
    2. Yeguang Chi & Wenyan Hao, 2020. "A Horserace of Volatility Models for Cryptocurrency: Evidence from Bitcoin Spot and Option Markets," Papers 2010.07402, arXiv.org.
    3. Gemayel, Roland & Franus, Tatiana & Bowden, James, 2023. "Price discovery between Bitcoin spot markets and exchange traded products," Economics Letters, Elsevier, vol. 228(C).
    4. Pati, Pratap Chandra, 2022. "Informativeness of CME Micro Bitcoin Futures in Pricing of Bitcoin: Intraday Evidence," Finance Research Letters, Elsevier, vol. 49(C).
    5. Carol Alexander & Xi Chen & Jun Deng & Qi Fu, 2025. "Price Discovery and Efficiency in Uniswap Liquidity Pools," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(8), pages 1023-1048, August.
    6. Dirk G. Baur & Lee A. Smales, 2022. "Trading behavior in bitcoin futures: Following the “smart money”," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(7), pages 1304-1323, July.
    7. Jaehyun Kim & Hyungbin Park, 2025. "Designing funding rates for perpetual futures in cryptocurrency markets," Papers 2506.08573, arXiv.org.
    8. Julien Chevallier & Dominique Guégan & Stéphane Goutte, 2021. "Is It Possible to Forecast the Price of Bitcoin?," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-04250269, HAL.
    9. Akyildirim, Erdinc & Cepni, Oguzhan & Corbet, Shaen & Uddin, Gazi Salah, 2020. "Forecasting Mid-price Movement of Bitcoin Futures Using Machine Learning," Working Papers 20-2020, Copenhagen Business School, Department of Economics.
    10. Bilel Sanhaji & Julien Chevallier, 2023. "Tracking ‘Pure’ Systematic Risk with Realized Betas for Bitcoin and Ethereum," Post-Print hal-04218488, HAL.
    11. Erdong Chen & Mengzhong Ma & Zixin Nie, 2024. "Perpetual future contracts in centralized and decentralized exchanges: Mechanism and traders’ behavior," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-36, December.
    12. Bouteska, Ahmed & Harasheh, Murad, 2023. "Bitcoin volatility and the introduction of bitcoin futures: A portfolio construction approach," Finance Research Letters, Elsevier, vol. 57(C).
    13. Helder Miguel Correia Virtuoso Sebastião & Paulo José Osório Rupino Da Cunha & Pedro Manuel Cortesão Godinho, 2021. "Cryptocurrencies and blockchain. Overview and future perspectives," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 21(3), pages 305-342.
    14. Chi, Yeguang & Hao, Wenyan, 2021. "Volatility models for cryptocurrencies and applications in the options market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    15. Efe Caglar Cagli & Pinar Evrim Mandaci, 2021. "Information transmission between bitcoin derivatives and spot markets: high-frequency causality analysis with Fourier approximation," Economics and Business Letters, Oviedo University Press, vol. 10(4), pages 394-402.
    16. Guillermo Angeris & Tarun Chitra & Alex Evans & Matthew Lorig, 2022. "A primer on perpetuals," Papers 2209.03307, arXiv.org.
    17. Ramshreyas Rao, 2025. "Agent-Based Simulation of a Perpetual Futures Market," Papers 2501.09404, arXiv.org.
    18. Zhiyong Cheng & Jun Deng & Tianyi Wang & Mei Yu, 2021. "Liquidation, leverage and optimal margin in bitcoin futures markets," Applied Economics, Taylor & Francis Journals, vol. 53(47), pages 5415-5428, October.
    19. Carol Alexander & Jun Deng & Jianfen Feng & Huning Wan, 2021. "Net Buying Pressure and the Information in Bitcoin Option Trades," Papers 2109.02776, arXiv.org, revised Mar 2022.
    20. Julien Chevallier & Bilel Sanhaji, 2023. "Jump-Robust Realized-GARCH-MIDAS-X Estimators for Bitcoin and Ethereum Volatility Indices," Post-Print halshs-04344131, HAL.
    21. Parthajit Kayal & Purnima Rohilla, 2021. "Bitcoin in the economics and finance literature: a survey," SN Business & Economics, Springer, vol. 1(7), pages 1-21, July.
    22. Day, Min-Yuh & Ni, Yensen, 2023. "The profitability of seasonal trading timing: Insights from energy-related markets," Energy Economics, Elsevier, vol. 128(C).
    23. Kwangwon Ahn & Hanwool Jang & Minhyuk Jeong & Sungbin Sohn, 2025. "The impact of futures trade on the informational efficiency of the U.S. REIT market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-24, December.
    24. Songrun He & Asaf Manela & Omri Ross & Victor von Wachter, 2022. "Fundamentals of Perpetual Futures," Papers 2212.06888, arXiv.org, revised Aug 2024.
    25. Azhar Mohamad, 2025. "Do Bitcoin ETFs Lead Price Discovery Following their Introduction in the Bitcoin Market?," Computational Economics, Springer;Society for Computational Economics, vol. 66(1), pages 947-969, July.
    26. Guo, Zi-Yi, 2021. "Price volatilities of bitcoin futures," Finance Research Letters, Elsevier, vol. 43(C).
    27. Arun Narayanasamy & Humnath Panta & Rohit Agarwal, 2023. "Relations among Bitcoin Futures, Bitcoin Spot, Investor Attention, and Sentiment," JRFM, MDPI, vol. 16(11), pages 1-24, November.
    28. Felföldi-Szűcs, Nóra & Králik, Balázs & Váradi, Kata, 2024. "Put–call parity in a crypto option market — Evidence from Binance," Finance Research Letters, Elsevier, vol. 61(C).
    29. Jakob Albers & Mihai Cucuringu & Sam Howison & Alexander Y. Shestopaloff, 2021. "Fragmentation, Price Formation, and Cross-Impact in Bitcoin Markets," Papers 2108.09750, arXiv.org.
    30. Andrei Shynkevich, 2021. "Impact of bitcoin futures on the informational efficiency of bitcoin spot market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(1), pages 115-134, January.
    31. Guo, Zi-Yi, 2022. "Risk management of Bitcoin futures with GARCH models," Finance Research Letters, Elsevier, vol. 45(C).
    32. Alexander, Carol & Choi, Jaehyuk & Massie, Hamish R.A. & Sohn, Sungbin, 2020. "Price discovery and microstructure in ether spot and derivative markets," International Review of Financial Analysis, Elsevier, vol. 71(C).
    33. Carol Alexander & Jun Deng & Bin Zou, 2021. "Hedging with Bitcoin Futures: The Effect of Liquidation Loss Aversion and Aggressive Trading," Papers 2101.01261, arXiv.org, revised Aug 2021.
    34. Hattori, Takahiro & Ishida, Ryo, 2021. "Did the introduction of Bitcoin futures crash the Bitcoin market at the end of 2017?," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    35. Erdong Chen & Mengzhong Ma & Zixin Nie, 2024. "Exploring the Impact: How Decentralized Exchange Designs Shape Traders' Behavior on Perpetual Future Contracts," Papers 2402.03953, arXiv.org, revised Apr 2024.
    36. 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.
    37. Alexander, Carol & Heck, Daniel F., 2020. "Price discovery in Bitcoin: The impact of unregulated markets," Journal of Financial Stability, Elsevier, vol. 50(C).
    38. Shimeng Shi & Jia Zhai & Yingying Wu, 2024. "Informational inefficiency on bitcoin futures," The European Journal of Finance, Taylor & Francis Journals, vol. 30(6), pages 642-667, April.
    39. Alexander, Carol & Chen, Xi & Deng, Jun & Wang, Tianyi, 2024. "Arbitrage opportunities and efficiency tests in crypto derivatives," Journal of Financial Markets, Elsevier, vol. 71(C).
    40. Shimeng Shi, 2022. "Bitcoin futures risk premia," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(12), pages 2190-2217, December.
    41. Oliver Entrop & Bart Frijns & Marco Seruset, 2020. "The determinants of price discovery on bitcoin markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(5), pages 816-837, May.
    42. Takahiro Hattori & Ryo Ishida, 2021. "The relationship between arbitrage in futures and spot markets and Bitcoin price movements: Evidence from the Bitcoin markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(1), pages 105-114, January.
    43. Cynthia Weiyi Cai & Rui Xue & Bi Zhou, 2023. "Cryptocurrency puzzles: a comprehensive review and re-introduction," Journal of Accounting Literature, Emerald Group Publishing Limited, vol. 46(1), pages 26-50, June.
    44. Apostolakis, George N., 2024. "Bitcoin price volatility transmission between spot and futures markets," International Review of Financial Analysis, Elsevier, vol. 94(C).
    45. Jun Deng & Huifeng Pan & Shuyu Zhang & Bin Zou, 2021. "Optimal Bitcoin trading with inverse futures," Annals of Operations Research, Springer, vol. 304(1), pages 139-163, September.
    46. Hu, Yang & Hou, Yang Greg & Oxley, Les, 2020. "What role do futures markets play in Bitcoin pricing? Causality, cointegration and price discovery from a time-varying perspective?," International Review of Financial Analysis, Elsevier, vol. 72(C).
    47. Azhar Mohamad & Sarveshwar Kumar Inani, 2023. "Price discovery in bitcoin spot or futures during the Covid-19 pandemic? Evidence from the time-varying parameter vector autoregressive model with stochastic volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 30(19), pages 2749-2757, November.
    48. Riccardo De Blasis & Alexander Webb, 2022. "Arbitrage, contract design, and market structure in Bitcoin futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(3), pages 492-524, March.
    49. Stefan Scharnowski & Hossein Jahanshahloo, 2025. "The Economics of Liquid Staking Derivatives: Basis Determinants and Price Discovery," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(2), pages 91-117, February.

  14. Alexander, Carol & Heck, Daniel F., 2020. "Price discovery in Bitcoin: The impact of unregulated markets," Journal of Financial Stability, Elsevier, vol. 50(C).

    Cited by:

    1. Carbó-Valverde, Santiago & Cuadros-Solas, Pedro J. & Rodríguez-Fernández, Francisco, 2025. "Cryptocurrency ownership and cognitive biases in perceived financial literacy," Journal of Behavioral and Experimental Finance, Elsevier, vol. 45(C).
    2. Augustin, Patrick & Rubtsov, Alexey & Shin, Donghwa, 2022. "The impact of derivatives on spot markets: Evidence from the introduction of bitcoin futures contracts," LawFin Working Paper Series 41, Goethe University, Center for Advanced Studies on the Foundations of Law and Finance (LawFin).
    3. Shrestha, Keshab & Naysary, Babak & Philip, Sheena Sara Suresh, 2023. "Price discovery in carbon exchange traded fund markets," International Review of Financial Analysis, Elsevier, vol. 89(C).
    4. Ahmed, Walid M.A., 2021. "How do Islamic equity markets respond to good and bad volatility of cryptocurrencies? The case of Bitcoin," Pacific-Basin Finance Journal, Elsevier, vol. 70(C).
    5. Carol Alexander & Xi Chen & Jun Deng & Qi Fu, 2025. "Price Discovery and Efficiency in Uniswap Liquidity Pools," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(8), pages 1023-1048, August.
    6. Yousaf, Imran & Abrar, Afsheen & Yarovaya, Larisa, 2023. "Decentralized and centralized exchanges: Which digital tokens pose a greater contagion risk?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 89(C).
    7. Lo, Yuen & Medda, Francesca, 2020. "Uniswap and the rise of the decentralized exchange," MPRA Paper 103925, University Library of Munich, Germany.
    8. Ruan, Qingsong & Meng, Lu & Lv, Dayong, 2021. "Effect of introducing Bitcoin futures on the underlying Bitcoin market efficiency: A multifractal analysis," Chaos, Solitons & Fractals, Elsevier, vol. 153(P1).
    9. Weige Huang & Xiang Gao, 2023. "Forecasting Bitcoin Futures: A Lasso-BMA Two-Step Predictor Selection for Investment and Hedging Strategies," SAGE Open, , vol. 13(1), pages 21582440231, January.
    10. Luo, Di & Mishra, Tapas & Yarovaya, Larisa & Zhang, Zhuang, 2021. "Investing during a Fintech Revolution: Ambiguity and return risk in cryptocurrencies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    11. Mingnan Li & Viktor Manahov & John Ashton, 2025. "The impact of cryptocurrency heists on Bitcoin's market efficiency," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(3), pages 2912-2929, July.
    12. Zhang, Pengcheng & Xu, Kunpeng & Qi, Jiayin, 2023. "The impact of regulation on cryptocurrency market volatility in the context of the COVID-19 pandemic — evidence from China," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 222-246.
    13. Rzayev, Khaladdin & Sakkas, Athanasios & Urquhart, Andrew, 2025. "An adoption model of cryptocurrencies," European Journal of Operational Research, Elsevier, vol. 323(1), pages 253-266.
    14. Lars Hornuf & Paul P. Momtaz & Rachel J. Nam & Ye Yuan, 2023. "Cybercrime on the Ethereum Blockchain," CESifo Working Paper Series 10598, CESifo.
    15. Pierre J. Venter & Eben Maré, 2021. "Univariate and Multivariate GARCH Models Applied to Bitcoin Futures Option Pricing," JRFM, MDPI, vol. 14(6), pages 1-14, June.
    16. Efe Caglar Cagli & Pinar Evrim Mandaci, 2021. "Information transmission between bitcoin derivatives and spot markets: high-frequency causality analysis with Fourier approximation," Economics and Business Letters, Oviedo University Press, vol. 10(4), pages 394-402.
    17. Meiyu Wu & Li Wang & Haijun Yang, 2024. "Heterogeneity in the volatility spillover of cryptocurrencies and exchanges," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-46, December.
    18. Azhar Mohamad, 2025. "Do Bitcoin ETFs Lead Price Discovery Following their Introduction in the Bitcoin Market?," Computational Economics, Springer;Society for Computational Economics, vol. 66(1), pages 947-969, July.
    19. Fantazzini, Dean & Calabrese, Raffaella, 2021. "Crypto-exchanges and Credit Risk: Modelling and Forecasting the Probability of Closure," MPRA Paper 110391, University Library of Munich, Germany.
    20. Arun Narayanasamy & Humnath Panta & Rohit Agarwal, 2023. "Relations among Bitcoin Futures, Bitcoin Spot, Investor Attention, and Sentiment," JRFM, MDPI, vol. 16(11), pages 1-24, November.
    21. Su, Fei & Wang, Xinyi & Yuan, Yulin, 2022. "The intraday dynamics and intraday price discovery of bitcoin," Research in International Business and Finance, Elsevier, vol. 60(C).
    22. Jakob Albers & Mihai Cucuringu & Sam Howison & Alexander Y. Shestopaloff, 2021. "Fragmentation, Price Formation, and Cross-Impact in Bitcoin Markets," Papers 2108.09750, arXiv.org.
    23. Prashant Sharma & Prashant Gupta & Dinesh Kumar Sharma & Gaurav Agarwal, 2022. "Investigating the Efficiency of Bitcoin Futures in Price Discovery," International Journal of Economics and Financial Issues, Econjournals, vol. 12(3), pages 104-109, May.
    24. Carol Alexander & Jun Deng & Bin Zou, 2021. "Hedging with Bitcoin Futures: The Effect of Liquidation Loss Aversion and Aggressive Trading," Papers 2101.01261, arXiv.org, revised Aug 2021.
    25. Bruce Mizrach, 2022. "Stablecoins: Survivorship, Transactions Costs and Exchange Microstructure," Papers 2201.01392, arXiv.org, revised Feb 2023.
    26. Wang, Yifu & Lu, Wanbo & Lin, Min-Bin & Ren, Rui & Härdle, Wolfgang Karl, 2024. "Cross-exchange crypto risk: A high-frequency dynamic network perspective," International Review of Financial Analysis, Elsevier, vol. 94(C).
    27. Caferra, Rocco, 2022. "Sentiment spillover and price dynamics: Information flow in the cryptocurrency and stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    28. Papavassiliou, Vassilios G. & Kinateder, Harald, 2021. "Information shares and market quality before and during the European sovereign debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    29. Shimeng Shi & Jia Zhai & Yingying Wu, 2024. "Informational inefficiency on bitcoin futures," The European Journal of Finance, Taylor & Francis Journals, vol. 30(6), pages 642-667, April.
    30. Shimeng Shi, 2022. "Bitcoin futures risk premia," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(12), pages 2190-2217, December.
    31. Ahmed, Walid M.A., 2022. "Robust drivers of Bitcoin price movements: An extreme bounds analysis," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    32. Conlon, Thomas & Corbet, Shaen & Hou, Yang (Greg), 2024. "Contagion effects of permissionless, worthless cryptocurrency tokens: Evidence from the collapse of FTX," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    33. Zhang, Pengcheng & Kong, Deli & Xu, Kunpeng & Qi, Jiayin, 2024. "Global economic policy uncertainty and the stability of cryptocurrency returns: The role of liquidity volatility," Research in International Business and Finance, Elsevier, vol. 67(PB).
    34. Pattnaik, Debidutta & Hassan, M. Kabir & Dsouza, Arun & Tiwari, Aviral & Devji, Shridev, 2023. "Ex-post facto analysis of cryptocurrency literature over a decade using bibliometric technique," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    35. Hoang, Lai T. & Baur, Dirk G., 2022. "Loaded for bear: Bitcoin private wallets, exchange reserves and prices," Journal of Banking & Finance, Elsevier, vol. 144(C).
    36. Costantini, Mauro & Maaitah, Ahmad & Mishra, Tapas & Sousa, Ricardo M., 2023. "Bitcoin market networks and cyberattacks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    37. Lien, Donald, 2022. "Comparisons of Alternative Information Share Measures," Finance Research Letters, Elsevier, vol. 50(C).
    38. Alex Frino & Robert Gaudiosi & Robert I. Webb & Z. Ivy Zhou, 2025. "Price Discovery in Bitcoin Spot or Futures? The Jury Is Out," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(4), pages 269-288, April.
    39. Beckmann, Joscha & Geldner, Teo & Wüstenfeld, Jan, 2024. "The relevance of media sentiment for small and large scale bitcoin investors," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 92(C).
    40. Ferko, Alex & Moin, Amani & Onur, Esen & Penick, Michael, 2023. "Who trades bitcoin futures and why?," Global Finance Journal, Elsevier, vol. 55(C).
    41. Azhar Mohamad & Sarveshwar Kumar Inani, 2023. "Price discovery in bitcoin spot or futures during the Covid-19 pandemic? Evidence from the time-varying parameter vector autoregressive model with stochastic volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 30(19), pages 2749-2757, November.
    42. Wei, Yu & Hu, Rui & Zhang, Jiahao & Wang, Qian, 2024. "Does the carbon market signal the market efficiency of clean and dirty cryptocurrencies? An analysis of quantile directional dependence," Finance Research Letters, Elsevier, vol. 67(PB).
    43. Carol Alexander & Ding Chen & Arben Imeraj, 2021. "Inverse and Quanto Inverse Options in a Black-Scholes World," Papers 2107.12041, arXiv.org, revised Oct 2022.
    44. Stefan Scharnowski & Hossein Jahanshahloo, 2025. "The Economics of Liquid Staking Derivatives: Basis Determinants and Price Discovery," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(2), pages 91-117, February.

  15. Alexander, Carol & Choi, Jaehyuk & Massie, Hamish R.A. & Sohn, Sungbin, 2020. "Price discovery and microstructure in ether spot and derivative markets," International Review of Financial Analysis, Elsevier, vol. 71(C).

    Cited by:

    1. Yeguang Chi & Wenyan Hao, 2020. "A Horserace of Volatility Models for Cryptocurrency: Evidence from Bitcoin Spot and Option Markets," Papers 2010.07402, arXiv.org.
    2. Kirill D. Shilov & Andrei V. Zubarev, 2023. "Factors of Ethereum Profitability as a Platform for Creating Decentrilized Applications," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 1, pages 95-115, February.
    3. Weige Huang & Xiang Gao, 2023. "Forecasting Bitcoin Futures: A Lasso-BMA Two-Step Predictor Selection for Investment and Hedging Strategies," SAGE Open, , vol. 13(1), pages 21582440231, January.
    4. Conlon, Thomas & Corbet, Shaen & McGee, Richard J., 2024. "The Bitcoin volume-volatility relationship: A high frequency analysis of futures and spot exchanges," International Review of Financial Analysis, Elsevier, vol. 91(C).
    5. Brini, Alessio & Lenz, Jimmie, 2024. "Pricing cryptocurrency options with machine learning regression for handling market volatility," Economic Modelling, Elsevier, vol. 136(C).
    6. Chi, Yeguang & Hao, Wenyan, 2021. "Volatility models for cryptocurrencies and applications in the options market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    7. Elie Bouri & Ladislav Kristoufek & Tanveer Ahmad & Syed Jawad Hussain Shahzad, 2024. "Microstructure noise and idiosyncratic volatility anomalies in cryptocurrencies," Annals of Operations Research, Springer, vol. 334(1), pages 547-573, March.
    8. Muneer M. Alshater & Mayank Joshipura & Rim El Khoury & Nohade Nasrallah, 2023. "Initial Coin Offerings: a Hybrid Empirical Review," Small Business Economics, Springer, vol. 61(3), pages 891-908, October.
    9. Su, Fei & Wang, Xinyi & Yuan, Yulin, 2022. "The intraday dynamics and intraday price discovery of bitcoin," Research in International Business and Finance, Elsevier, vol. 60(C).
    10. Prashant Sharma & Prashant Gupta & Dinesh Kumar Sharma & Gaurav Agarwal, 2022. "Investigating the Efficiency of Bitcoin Futures in Price Discovery," International Journal of Economics and Financial Issues, Econjournals, vol. 12(3), pages 104-109, May.
    11. Papavassiliou, Vassilios G. & Kinateder, Harald, 2021. "Information shares and market quality before and during the European sovereign debt crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).
    12. Shilov, Kirill (Шилов, Кирилл) & Zubarev, Andrey (Зубарев, Андрей), 2023. "Return factors of Ether cryptocurrency: on chain metrics and DeFi," Working Papers w20220221, Russian Presidential Academy of National Economy and Public Administration.
    13. Alexander, Carol & Chen, Xi & Deng, Jun & Wang, Tianyi, 2024. "Arbitrage opportunities and efficiency tests in crypto derivatives," Journal of Financial Markets, Elsevier, vol. 71(C).
    14. Takahiro Hattori & Ryo Ishida, 2021. "The relationship between arbitrage in futures and spot markets and Bitcoin price movements: Evidence from the Bitcoin markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(1), pages 105-114, January.
    15. Apostolakis, George N., 2024. "Bitcoin price volatility transmission between spot and futures markets," International Review of Financial Analysis, Elsevier, vol. 94(C).
    16. Lien, Donald, 2022. "Comparisons of Alternative Information Share Measures," Finance Research Letters, Elsevier, vol. 50(C).
    17. Urquhart, Andrew, 2022. "Under the hood of the Ethereum blockchain," Finance Research Letters, Elsevier, vol. 47(PA).

  16. C. Alexander & M. Dakos, 2020. "A critical investigation of cryptocurrency data and analysis," Quantitative Finance, Taylor & Francis Journals, vol. 20(2), pages 173-188, February.

    Cited by:

    1. Shaen Corbet & Yang Hou & Yang Hu & Les Oxley, 2024. "Time varying risk aversion and its connectedness: evidence from cryptocurrencies," Annals of Operations Research, Springer, vol. 338(2), pages 879-923, July.
    2. Mensi, Walid & Al-Yahyaee, Khamis Hamed & Al-Jarrah, Idries Mohammad Wanas & Vo, Xuan Vinh & Kang, Sang Hoon, 2020. "Dynamic volatility transmission and portfolio management across major cryptocurrencies: Evidence from hourly data," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    3. Esparcia, Carlos & López, Raquel, 2024. "Performance of crypto-Forex portfolios based on intraday data," Research in International Business and Finance, Elsevier, vol. 69(C).
    4. Yeguang Chi & Wenyan Hao, 2020. "A Horserace of Volatility Models for Cryptocurrency: Evidence from Bitcoin Spot and Option Markets," Papers 2010.07402, arXiv.org.
    5. Esparcia, Carlos & Escribano, Ana & Jareño, Francisco, 2024. "Assessing the crypto market stability after the FTX collapse: A study of high frequency volatility and connectedness," International Review of Financial Analysis, Elsevier, vol. 94(C).
    6. Elsayed, Ahmed H. & Gozgor, Giray & Yarovaya, Larisa, 2022. "Volatility and return connectedness of cryptocurrency, gold, and uncertainty: Evidence from the cryptocurrency uncertainty indices," Finance Research Letters, Elsevier, vol. 47(PB).
    7. Bakhtiar, Tiam & Luo, Xiaojun & Adelopo, Ismail, 2023. "Network effects and store-of-value features in the cryptocurrency market," Technology in Society, Elsevier, vol. 74(C).
    8. Aurelio F. Bariviera & Ignasi Merediz-Sol`a, 2020. "Where do we stand in cryptocurrencies economic research? A survey based on hybrid analysis," Papers 2003.09723, arXiv.org.
    9. Daeyun Kang & Doojin Ryu & Robert I. Webb, 2025. "Bitcoin as a financial asset: a survey," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-28, December.
    10. Pardis Roozkhosh & Alireza Pooya, 2024. "Dynamic Analysis of Bitcoin Price Under Market News and Sentiments and Government Support Policies," Computational Economics, Springer;Society for Computational Economics, vol. 64(2), pages 1163-1198, August.
    11. Kingstone Nyakurukwa & Yudhvir Seetharam, 2023. "Higher moment connectedness of cryptocurrencies: a time-frequency approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(3), pages 793-814, September.
    12. Wang, Yijun & Andreeva, Galina & Martin-Barragan, Belen, 2023. "Machine learning approaches to forecasting cryptocurrency volatility: Considering internal and external determinants," International Review of Financial Analysis, Elsevier, vol. 90(C).
    13. Bhuvaneskumar Annamalaisamy & Sivakumar Vepur Jayaraman, 2024. "Do cryptocurrencies integrate with the indices of equity, sustainability, clean energy, and crude oil? A wavelet coherency approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 3372-3392, July.
    14. Tang, Tao & Wang, Yanchen, 2022. "Liquidity Shocks, Price Volatilities, and Risk-managed Strategy: Evidence from Bitcoin and Beyond," Journal of Multinational Financial Management, Elsevier, vol. 64(C).
    15. Catania, Leopoldo & Grassi, Stefano, 2022. "Forecasting cryptocurrency volatility," International Journal of Forecasting, Elsevier, vol. 38(3), pages 878-894.
    16. Cakici, Nusret & Shahzad, Syed Jawad Hussain & Będowska-Sójka, Barbara & Zaremba, Adam, 2024. "Machine learning and the cross-section of cryptocurrency returns," International Review of Financial Analysis, Elsevier, vol. 94(C).
    17. Łęt Blanka & Sobański Konrad & Świder Wojciech & Włosik Katarzyna, 2022. "Is the cryptocurrency market efficient? Evidence from an analysis of fundamental factors for Bitcoin and Ethereum," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 58(4), pages 351-370, December.
    18. Yeguang Chi & Qionghua & Chu & Wenyan Hao, 2024. "Return and Volatility Forecasting Using On-Chain Flows in Cryptocurrency Markets," Papers 2411.06327, arXiv.org, revised Sep 2025.
    19. Fang Wang & Marko Gacesa, 2024. "Semi-strong Efficient Market of Bitcoin and Twitter: an Analysis of Semantic Vector Spaces of Extracted Keywords and Light Gradient Boosting Machine Models," Papers 2409.15988, arXiv.org.
    20. Hu, Yang & Hou, Yang (Greg) & Oxley, Les & Corbet, Shaen, 2021. "Does blockchain patent-development influence Bitcoin risk?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 70(C).
    21. Emilio Barucci & Giancarlo Giuffra Moncayo & Daniele Marazzina, 2022. "Cryptocurrencies and stablecoins: a high-frequency analysis," Digital Finance, Springer, vol. 4(2), pages 217-239, September.
    22. Esparcia, Carlos & Díaz, Antonio, 2024. "The football world upside down: Traditional equities as an alternative for the new fan tokens? A portfolio optimization study," Research in International Business and Finance, Elsevier, vol. 71(C).
    23. Carlos Trucíos & James W. Taylor, 2023. "A comparison of methods for forecasting value at risk and expected shortfall of cryptocurrencies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 989-1007, July.
    24. Galati, Luca, 2024. "Exchange market share, market makers, and murky behavior: The impact of no-fee trading on cryptocurrency market quality," Journal of Banking & Finance, Elsevier, vol. 165(C).
    25. Conlon, Thomas & McGee, Richard, 2020. "Safe haven or risky hazard? Bitcoin during the Covid-19 bear market," Finance Research Letters, Elsevier, vol. 35(C).
    26. Toan Luu Duc Huynh, 2023. "When Elon Musk Changes his Tone, Does Bitcoin Adjust Its Tune?," Computational Economics, Springer;Society for Computational Economics, vol. 62(2), pages 639-661, August.
    27. Fan Fang & Carmine Ventre & Michail Basios & Leslie Kanthan & David Martinez-Rego & Fan Wu & Lingbo Li, 2022. "Cryptocurrency trading: a comprehensive survey," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-59, December.
    28. Akwasi Adom-Dankwa & Francis Atsu & Emmanuel Numapau Gyamfi & Godfred Amewu & Kenneth Ofori-Boateng, 2025. "Sovereign bond yield and cryptocurrency returns within the frontier West African monetary zone: a dynamic contagion analysis," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-13, December.
    29. Baur, Dirk G. & Hoang, Lai, 2021. "The Bitcoin gold correlation puzzle," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).
    30. Chi, Yeguang & Hao, Wenyan, 2021. "Volatility models for cryptocurrencies and applications in the options market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    31. Federico P. Cortese & Petter N. Kolm & Erik Lindström, 2023. "What drives cryptocurrency returns? A sparse statistical jump model approach," Digital Finance, Springer, vol. 5(3), pages 483-518, December.
    32. Akyildirim, Erdinc & Corbet, Shaen & Coskun, Ali & Ercan, Metin, 2025. "Connectedness of cryptocurrency-related stocks and the cryptocurrency market: Evidence from the United States," The North American Journal of Economics and Finance, Elsevier, vol. 76(C).
    33. Carol Alexander & Jun Deng & Jianfen Feng & Huning Wan, 2021. "Net Buying Pressure and the Information in Bitcoin Option Trades," Papers 2109.02776, arXiv.org, revised Mar 2022.
    34. Abakah, Emmanuel Joel Aikins & Gil-Alana, Luis Alberiko & Madigu, Godfrey & Romero-Rojo, Fatima, 2020. "Volatility persistence in cryptocurrency markets under structural breaks," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 680-691.
    35. Arouxet, M. Belén & Bariviera, Aurelio F. & Pastor, Verónica E. & Vampa, Victoria, 2022. "Covid-19 impact on cryptocurrencies: Evidence from a wavelet-based Hurst exponent," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
    36. David Vidal-Tom'as & Antonio Briola & Tomaso Aste, 2023. "FTX's downfall and Binance's consolidation: The fragility of centralised digital finance," Papers 2302.11371, arXiv.org, revised Dec 2023.
    37. Lorenzo Lucchini & Laura Alessandretti & Bruno Lepri & Angela Gallo & Andrea Baronchelli, 2020. "From code to market: Network of developers and correlated returns of cryptocurrencies," Papers 2004.07290, arXiv.org, revised Dec 2020.
    38. Adediran, Idris A. & Yinusa, Olalekan D. & Lakhani, Kanwal Hammad, 2021. "Where lies the silver lining when uncertainty hang dark clouds over the global financial markets?," Resources Policy, Elsevier, vol. 70(C).
    39. He Siyun & Ibragimov Rustam, 2022. "Predictability of cryptocurrency returns: evidence from robust tests," Dependence Modeling, De Gruyter, vol. 10(1), pages 191-206, January.
    40. Będowska-Sójka, Barbara & Kliber, Agata, 2024. "Do investors in dirty and clean cryptocurrencies care about energy efficiency in the same way?," Finance Research Letters, Elsevier, vol. 67(PB).
    41. Zhao, Jinsha & Miao, Jia, 2023. "Is Bitcoin used to evade financial sanction?," Finance Research Letters, Elsevier, vol. 55(PB).
    42. Guglielmo Maria Caporale & Woo-Young Kang & Fabio Spagnolo & Nicola Spagnolo, 2020. "Cyber Attacks, Spillovers and Contagion in the Cryptocurrency Markets," CESifo Working Paper Series 8324, CESifo.
    43. Shuzhen Yang, 2021. "Compensatory model for quantile estimation and application to VaR," Papers 2112.07278, arXiv.org.
    44. Muhammad Anas & Syed Jawad Hussain Shahzad & Larisa Yarovaya, 2024. "The use of high-frequency data in cryptocurrency research: a meta-review of literature with bibliometric analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-31, December.
    45. Fieberg, Christian & Günther, Steffen & Poddig, Thorsten & Zaremba, Adam, 2024. "Non-standard errors in the cryptocurrency world," International Review of Financial Analysis, Elsevier, vol. 92(C).
    46. Serdar Neslihanoglu, 2021. "Linearity extensions of the market model: a case of the top 10 cryptocurrency prices during the pre-COVID-19 and COVID-19 periods," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-27, December.
    47. Vidal-Tomás, David, 2022. "Which cryptocurrency data sources should scholars use?," International Review of Financial Analysis, Elsevier, vol. 81(C).
    48. Grobys, Klaus & Huynh, Toan Luu Duc, 2022. "When Tether says “JUMP!” Bitcoin asks “How low?”," Finance Research Letters, Elsevier, vol. 47(PA).
    49. Aurelio F. Bariviera, 2020. "One model is not enough: heterogeneity in cryptocurrencies' multifractal profiles," Papers 2003.09720, arXiv.org, revised Jun 2020.
    50. Fiszeder, Piotr & Małecka, Marta & Molnár, Peter, 2024. "Robust estimation of the range-based GARCH model: Forecasting volatility, value at risk and expected shortfall of cryptocurrencies," Economic Modelling, Elsevier, vol. 141(C).
    51. Jiri Kukacka & Ladislav Kristoufek, 2023. "Fundamental and speculative components of the cryptocurrency pricing dynamics," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-23, December.
    52. Mercik, Aleksander & Będowska-Sójka, Barbara & Karim, Sitara & Zaremba, Adam, 2025. "Cross-sectional interactions in cryptocurrency returns," International Review of Financial Analysis, Elsevier, vol. 97(C).
    53. Hui, Cho-Hoi & Wong, Andrew & Lo, Chi-Fai, 2025. "Stablecoin price dynamics under a peg-stabilising mechanism," Journal of International Money and Finance, Elsevier, vol. 152(C).
    54. Turgeman Avraham & Jude Octavian, 2024. "Cryptocurrencies Volatility: Empirical Evidence," Timisoara Journal of Economics and Business, Sciendo, vol. 17(1), pages 113-120.
    55. Rudkin, Simon & Rudkin, Wanling & Dłotko, Paweł, 2023. "On the topology of cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 89(C).
    56. Esparcia, Carlos & Escribano, Ana & Jareño, Francisco, 2023. "Did cryptomarket chaos unleash Silvergate's bankruptcy? investigating the high-frequency volatility and connectedness behind the collapse," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 89(C).
    57. Sadaqat, Mohsin & Butt, Hilal Anwar, 2023. "Stop-loss rules and momentum payoffs in cryptocurrencies," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    58. Conlon, Thomas & Corbet, Shaen & McGee, Richard J., 2020. "Are cryptocurrencies a safe haven for equity markets? An international perspective from the COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 54(C).
    59. Aman Saggu & Lennart Ante & Ender Demir, 2024. "Anticipatory Gains and Event-Driven Losses in Blockchain-Based Fan Tokens: Evidence from the FIFA World Cup," Papers 2403.15810, arXiv.org.
    60. Antonio Briola & David Vidal-Tom'as & Yuanrong Wang & Tomaso Aste, 2022. "Anatomy of a Stablecoin's failure: the Terra-Luna case," Papers 2207.13914, arXiv.org, revised Sep 2022.
    61. Onur Özdemir, 2022. "Cue the volatility spillover in the cryptocurrency markets during the COVID-19 pandemic: evidence from DCC-GARCH and wavelet analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-38, December.
    62. Briola, Antonio & Vidal-Tomás, David & Wang, Yuanrong & Aste, Tomaso, 2023. "Anatomy of a Stablecoin’s failure: The Terra-Luna case," Finance Research Letters, Elsevier, vol. 51(C).
    63. Duc Huynh, Toan Luu & Burggraf, Tobias & Wang, Mei, 2020. "Gold, platinum, and expected Bitcoin returns," Journal of Multinational Financial Management, Elsevier, vol. 56(C).
    64. Umar, Muhammad, 2025. "The impact of cyber-attacks on different dimensions of cryptocurrency markets," Technology in Society, Elsevier, vol. 81(C).
    65. Emilio Barucci & Giancarlo Giuffra Moncayo & Daniele Marazzina, 2023. "Market impact and efficiency in cryptoassets markets," Digital Finance, Springer, vol. 5(3), pages 519-562, December.
    66. Shimeng Shi & Jia Zhai & Yingying Wu, 2024. "Informational inefficiency on bitcoin futures," The European Journal of Finance, Taylor & Francis Journals, vol. 30(6), pages 642-667, April.
    67. Vidal-Tomás, David, 2021. "The entry and exit dynamics of the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 58(C).
    68. Galati, Luca & Capalbo, Francesco, 2024. "Silicon Valley Bank bankruptcy and Stablecoins stability," International Review of Financial Analysis, Elsevier, vol. 91(C).
    69. Castle, Jennifer L. & Kurita, Takamitsu, 2024. "Stability between cryptocurrency prices and the term structure," Journal of Economic Dynamics and Control, Elsevier, vol. 165(C).
    70. Arief Rijanto, 2023. "Co-Movements between an Asian Technology Stock Index and Cryptocurrencies during the COVID-19 Pandemic: A Bi-Wavelet Approach," Economies, MDPI, vol. 11(9), pages 1-20, September.
    71. Akyildirim, Erdinc & Corbet, Shaen & Sensoy, Ahmet & Yarovaya, Larisa, 2020. "The impact of blockchain related name changes on corporate performance," Journal of Corporate Finance, Elsevier, vol. 65(C).
    72. Natashekara, Karthik & Sampath, Aravind, 2024. "Informed trading and cryptocurrencies. New evidence using tick-by-tick data," Finance Research Letters, Elsevier, vol. 61(C).
    73. Vidal-Tomás, David & Briola, Antonio & Aste, Tomaso, 2023. "FTX's downfall and Binance's consolidation: the fragility of centralised digital finance," LSE Research Online Documents on Economics 119902, London School of Economics and Political Science, LSE Library.
    74. Costantini, Mauro & Maaitah, Ahmad & Mishra, Tapas & Sousa, Ricardo M., 2023. "Bitcoin market networks and cyberattacks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    75. Wang, Fang & Gacesa, Marko, 2023. "Semi-strong efficient market of Bitcoin and Twitter: An analysis of semantic vector spaces of extracted keywords and light gradient boosting machine models," International Review of Financial Analysis, Elsevier, vol. 88(C).
    76. Hu, Yang & Hou, Yang Greg & Oxley, Les, 2020. "What role do futures markets play in Bitcoin pricing? Causality, cointegration and price discovery from a time-varying perspective?," International Review of Financial Analysis, Elsevier, vol. 72(C).
    77. Scharnowski, Stefan & Shi, Yanghua, 2024. "Intraday herding and attention around the clock," Journal of Behavioral and Experimental Finance, Elsevier, vol. 41(C).
    78. Inés Jiménez & Andrés Mora-Valencia & Javier Perote, 2022. "Dynamic selection of Gram–Charlier expansions with risk targets: an application to cryptocurrencies," Risk Management, Palgrave Macmillan, vol. 24(1), pages 81-99, March.
    79. Azhar Mohamad & Sarveshwar Kumar Inani, 2023. "Price discovery in bitcoin spot or futures during the Covid-19 pandemic? Evidence from the time-varying parameter vector autoregressive model with stochastic volatility," Applied Economics Letters, Taylor & Francis Journals, vol. 30(19), pages 2749-2757, November.
    80. Foley, Sean & Krekel, William & Mollica, Vito & Svec, Jiri, 2023. "Not so fast: Identifying and remediating slow and imprecise cryptocurrency exchange data," Finance Research Letters, Elsevier, vol. 51(C).
    81. Crépellière, Tommy & Pelster, Matthias & Zeisberger, Stefan, 2023. "Arbitrage in the market for cryptocurrencies," Journal of Financial Markets, Elsevier, vol. 64(C).

  17. Alexander, Carol & Kaeck, Andreas & Sumawong, Anannit, 2019. "A parsimonious parametric model for generating margin requirements for futures," European Journal of Operational Research, Elsevier, vol. 273(1), pages 31-43.

    Cited by:

    1. Alexander, Carol & Deng, Jun & Zou, Bin, 2023. "Hedging with automatic liquidation and leverage selection on bitcoin futures," European Journal of Operational Research, Elsevier, vol. 306(1), pages 478-493.
    2. Aniket Bhanu, 2024. "The Effect of Anti‐Procyclical Central Counterparty Margins On Trading," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(9), pages 1474-1486, September.
    3. C. Alexander & M. Coulon & Y. Han & X. Meng, 2024. "Evaluating the discrimination ability of proper multi-variate scoring rules," Annals of Operations Research, Springer, vol. 334(1), pages 857-883, March.
    4. Zhiyong Cheng & Jun Deng & Tianyi Wang & Mei Yu, 2021. "Liquidation, leverage and optimal margin in bitcoin futures markets," Applied Economics, Taylor & Francis Journals, vol. 53(47), pages 5415-5428, October.
    5. Alexander, Carol & Han, Yang & Meng, Xiaochun, 2023. "Static and dynamic models for multivariate distribution forecasts: Proper scoring rule tests of factor-quantile versus multivariate GARCH models," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1078-1096.
    6. Carol Alexander & Jun Deng & Bin Zou, 2021. "Hedging with Bitcoin Futures: The Effect of Liquidation Loss Aversion and Aggressive Trading," Papers 2101.01261, arXiv.org, revised Aug 2021.
    7. Raimbourg, Philippe & Zimmermann, Paul, 2022. "Is normal backwardation normal? Valuing financial futures with a local index-rate covariance," European Journal of Operational Research, Elsevier, vol. 298(1), pages 351-367.
    8. Philippe Raimbourg & Paul Zimmermann, 2022. "Is normal backwardation normal? Valuing financial futures with a local index-rate covariance," Post-Print hal-04011013, HAL.

  18. Stamatis Leontsinis & Carol Alexander, 2017. "Arithmetic variance swaps," Quantitative Finance, Taylor & Francis Journals, vol. 17(4), pages 551-569, April.

    Cited by:

    1. Tsuji, Chikashi, 2020. "Correlation and spillover effects between the US and international banking sectors: New evidence and implications for risk management," International Review of Financial Analysis, Elsevier, vol. 70(C).
    2. Ana‐Maria Fuertes & Zhenya Liu & Weiqing Tang, 2022. "Risk‐neutral skewness and commodity futures pricing," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(4), pages 751-785, April.
    3. Torben G. Andersen & Oleg Bondarenko & Maria T. Gonzalez-Perez, 2025. "VIX maturity interpolation," Review of Derivatives Research, Springer, vol. 28(1), pages 1-40, April.
    4. Alexander, Carol & Rauch, Johannes, 2021. "A general property for time aggregation," European Journal of Operational Research, Elsevier, vol. 291(2), pages 536-548.

  19. Alexander, Carol & Korovilas, Dimitris & Kapraun, Julia, 2016. "Diversification with volatility products," Journal of International Money and Finance, Elsevier, vol. 65(C), pages 213-235.

    Cited by:

    1. Sebastian A. Gehricke & Jin E. Zhang, 2020. "Modeling VXX under jump diffusion with stochastic long‐term mean," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(10), pages 1508-1534, October.
    2. Oscar V. De la Torre-Torres & Evaristo Galeana-Figueroa & José Álvarez-García, 2019. "A Test of Using Markov-Switching GARCH Models in Oil and Natural Gas Trading," Energies, MDPI, vol. 13(1), pages 1-24, December.
    3. Tsuji, Chikashi, 2020. "Correlation and spillover effects between the US and international banking sectors: New evidence and implications for risk management," International Review of Financial Analysis, Elsevier, vol. 70(C).
    4. Badshah, Ihsan & Bekiros, Stelios & Lucey, Brian M. & Uddin, Gazi Salah, 2018. "Asymmetric linkages among the fear index and emerging market volatility indices," Emerging Markets Review, Elsevier, vol. 37(C), pages 17-31.
    5. Jonathan Dark & Xin Gao & Thijs van der Heijden & Federico Nardari, 2022. "Forecasting variance swap payoffs," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(12), pages 2135-2164, December.
    6. Per Bjarte Solibakke, 2022. "Projecting and Forecasting the Latent Volatility for the Nasdaq OMX Nordic/Baltic Financial Electricity Market Applying Stochastic Volatility Market Characteristics," Energies, MDPI, vol. 15(10), pages 1-20, May.
    7. Oscar V. De la Torre-Torres & Francisco Venegas-Martínez & Mᵃ Isabel Martínez-Torre-Enciso, 2021. "Enhancing Portfolio Performance and VIX Futures Trading Timing with Markov-Switching GARCH Models," Mathematics, MDPI, vol. 9(2), pages 1-22, January.
    8. Milan Bašta & Peter Molnár, 2019. "Long‐term dynamics of the VIX index and its tradable counterpart VXX," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(3), pages 322-341, March.
    9. Kim Christensen & Charlotte Christiansen & Anders M. Posselt, 2019. "The Economic Value of VIX ETPs," CREATES Research Papers 2019-14, Department of Economics and Business Economics, Aarhus University.
    10. Oscar V. De la Torre-Torres & Rodolfo A. López-Torres & María de la Cruz del Río-Rama & José Álvarez-García, 2025. "Mexican White Corn Spot Price Hedging with US Agricultural Futures Portfolios Using the Surplus Efficient Frontier," Agriculture, MDPI, vol. 15(17), pages 1-28, August.
    11. Shan Lu, 2025. "Pricing VXX Options With Observable Volatility Dynamics From High‐Frequency VIX Index," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(7), pages 771-801, July.
    12. Björn Uhl, 2024. "Sharpe-optimal volatility futures carry," Journal of Asset Management, Palgrave Macmillan, vol. 25(3), pages 288-302, May.
    13. Qadan, Mahmoud & Nisani, Doron & Eichel, Ron, 2022. "Irregularities in forward-looking volatility," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 489-501.
    14. Chiu, Junmao & Lien, Donald & Tsai, Wei-Che, 2023. "Global financial crisis, funding constraints, and liquidity of VIX futures," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    15. Kaya, Orçun & Mostowfi, Mehdi, 2022. "Low-volatility strategies for highly liquid cryptocurrencies," Finance Research Letters, Elsevier, vol. 46(PB).
    16. Gehricke, Sebastian A. & Zhang, Jin E., 2021. "Tracking performance of VIX futures ETPs," Journal of Empirical Finance, Elsevier, vol. 61(C), pages 103-117.
    17. Huang, Hong-Gia & Tsai, Wei-Che & Weng, Pei-Shih & Yang, J. Jimmy, 2023. "Intraday momentum in the VIX futures market," Journal of Banking & Finance, Elsevier, vol. 148(C).
    18. Oscar V. De la Torre-Torres & Evaristo Galeana-Figueroa & José Álvarez-García, 2021. "A Markov-Switching VSTOXX Trading Algorithm for Enhancing EUR Stock Portfolio Performance," Mathematics, MDPI, vol. 9(9), pages 1-28, May.
    19. Li, Leon & Miu, Peter, 2024. "Diversifying crude oil price risk with crude oil volatility index: The role of volatility-of-volatility," Journal of Commodity Markets, Elsevier, vol. 36(C).

  20. Andreas Kaeck & Carol Alexander, 2013. "Stochastic Volatility Jump†Diffusions for European Equity Index Dynamics," European Financial Management, European Financial Management Association, vol. 19(3), pages 470-496, June.

    Cited by:

    1. Maciej Augustyniak & Frédéric Godin & Clarence Simard, 2017. "Assessing the effectiveness of local and global quadratic hedging under GARCH models," Quantitative Finance, Taylor & Francis Journals, vol. 17(9), pages 1305-1318, September.
    2. Ioannis Kyriakou & Nikos K. Nomikos & Nikos C. Papapostolou & Panos K. Pouliasis, 2016. "Affine†Structure Models and the Pricing of Energy Commodity Derivatives," European Financial Management, European Financial Management Association, vol. 22(5), pages 853-881, November.
    3. Hain, Martin & Uhrig-Homburg, Marliese & Unger, Nils, 2018. "Risk factors and their associated risk premia: An empirical analysis of the crude oil market," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 44-63.
    4. Xinyu WU & Hailin ZHOU, 2016. "GARCH DIFFUSION MODEL, iVIX, AND VOLATILITY RISK PREMIUM," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(1), pages 327-342.
    5. Tunaru, Radu & Zheng, Teng, 2017. "Parameter estimation risk in asset pricing and risk management: A Bayesian approach," International Review of Financial Analysis, Elsevier, vol. 53(C), pages 80-93.
    6. Hsu, Pao-Peng, 2017. "Examination of Taiwan's travel and tourism market cycle through a two-period Markov regime-switching model," Tourism Management, Elsevier, vol. 63(C), pages 201-208.
    7. Kaeck, Andreas & Rodrigues, Paulo & Seeger, Norman J., 2017. "Equity index variance: Evidence from flexible parametric jump–diffusion models," Journal of Banking & Finance, Elsevier, vol. 83(C), pages 85-103.
    8. Stamatis Leontsinis & Carol Alexander, 2017. "Arithmetic variance swaps," Quantitative Finance, Taylor & Francis Journals, vol. 17(4), pages 551-569, April.
    9. Johannes Rauch & Carol Alexander, 2016. "Tail Risk Premia for Long-Term Equity Investors," Papers 1602.00865, arXiv.org.
    10. Maciej Augustyniak & Mathieu Boudreault, 2017. "Mitigating Interest Rate Risk in Variable Annuities: An Analysis of Hedging Effectiveness under Model Risk," North American Actuarial Journal, Taylor & Francis Journals, vol. 21(4), pages 502-525, October.
    11. Márcio Poletti Laurini & Roberto Baltieri Mauad & Fernando Antonio Lucena Aiube, 2016. "Multivariate Stochastic Volatility-Double Jump Model: an application for oil assets," Working Papers Series 415, Central Bank of Brazil, Research Department.
    12. Liu, Guangqiang & Wang, Yan & Chen, Xiaodan & Zhang, Yifeng & Shang, Yue, 2020. "Forecasting volatility of the Chinese stock markets using TVP HAR-type models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    13. Leonidas S. Rompolis & Elias Tzavalis, 2017. "Pricing and hedging contingent claims using variance and higher order moment swaps," Quantitative Finance, Taylor & Francis Journals, vol. 17(4), pages 531-550, April.
    14. Xinyu WU & Senchun REN & Hailin ZHOU, 2017. "Empirical Pricing Kernels: Evidence from the Hong Kong Stock Market," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 51(4), pages 263-278.

  21. Alexander, Carol & Prokopczuk, Marcel & Sumawong, Anannit, 2013. "The (de)merits of minimum-variance hedging: Application to the crack spread," Energy Economics, Elsevier, vol. 36(C), pages 698-707.
    See citations under working paper version above.
  22. Alexander, Carol & Lazar, Emese & Stanescu, Silvia, 2013. "Forecasting VaR using analytic higher moments for GARCH processes," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 36-45.

    Cited by:

    1. Yang, Jianlei, 2024. "Financial stability policy and downside risk in stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 73(C).
    2. Tsuji, Chikashi, 2020. "Correlation and spillover effects between the US and international banking sectors: New evidence and implications for risk management," International Review of Financial Analysis, Elsevier, vol. 70(C).
    3. Li, Jianping & Li, Jingyu & Zhu, Xiaoqian & Yao, Yinhong & Casu, Barbara, 2020. "Risk spillovers between FinTech and traditional financial institutions: Evidence from the U.S," International Review of Financial Analysis, Elsevier, vol. 71(C).
    4. 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).
    5. Zhu, Hui-Ming & Li, ZhaoLai & You, WanHai & Zeng, Zhaofa, 2015. "Revisiting the asymmetric dynamic dependence of stock returns: Evidence from a quantile autoregression model," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 142-153.
    6. Chakraborty, Sandip & Kakani, Ram Kumar & Sampath, Aravind, 2022. "Portfolio risk and stress across the business cycle," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    7. Wei Kuang, 2022. "Oil tail-risk forecasts: from financial crisis to COVID-19," Risk Management, Palgrave Macmillan, vol. 24(4), pages 420-460, December.
    8. Zhang, Ning & Su, Xiaoman & Qi, Shuyuan, 2023. "An empirical investigation of multiperiod tail risk forecasting models," International Review of Financial Analysis, Elsevier, vol. 86(C).
    9. Chikashi Tsuji, 2016. "Does the fear gauge predict downside risk more accurately than econometric models? Evidence from the US stock market," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1220711-122, December.
    10. Chunyang Zhou & Xiao Qin & Xundi Diao & Yingchen He, 2016. "Estimating multi-period Value at Risk of oil futures prices," Applied Economics, Taylor & Francis Journals, vol. 48(32), pages 2994-3004, July.
    11. Arief Hakim & A N M Salman & Yeva Ashari & Khreshna Syuhada, 2022. "Modifying (M)CoVaR and constructing tail risk networks through analytic higher-order moments: Evidence from the global forex markets," PLOS ONE, Public Library of Science, vol. 17(11), pages 1-39, November.
    12. Alexander, Carol & Lazar, Emese & Stanescu, Silvia, 2021. "Analytic moments for GJR-GARCH (1, 1) processes," International Journal of Forecasting, Elsevier, vol. 37(1), pages 105-124.
    13. Duan, Kun & Liu, Yang & Yan, Cheng & Huang, Yingying, 2023. "Differences in carbon risk spillovers with green versus traditional assets: Evidence from a full distributional analysis," Energy Economics, Elsevier, vol. 127(PA).

  23. Kaeck, Andreas & Alexander, Carol, 2013. "Continuous-time VIX dynamics: On the role of stochastic volatility of volatility," International Review of Financial Analysis, Elsevier, vol. 28(C), pages 46-56.

    Cited by:

    1. Zhigang Tong, 2017. "Modelling VIX and VIX derivatives with reducible diffusions," International Journal of Bonds and Derivatives, Inderscience Enterprises Ltd, vol. 3(2), pages 153-175.
    2. Xiaoyu Tan & Chengxiang Wang & Wei Lin & Jin E. Zhang & Shenghong Li & Xuejun Zhao & Zili Zhang, 2021. "The term structure of the VXX option smirk: Pricing VXX option with a two‐factor model and asymmetry jumps," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(4), pages 439-457, April.
    3. Campos, I. & Cortazar, G. & Reyes, T., 2017. "Modeling and predicting oil VIX: Internet search volume versus traditional mariables," Energy Economics, Elsevier, vol. 66(C), pages 194-204.
    4. Bu, Ruijun & Hadri, Kaddour & Kristensen, Dennis, 2021. "Diffusion copulas: Identification and estimation," Journal of Econometrics, Elsevier, vol. 221(2), pages 616-643.
    5. Julien Chevallier & Sofiane Aboura, 2015. "Geographical Diversification with a World Volatility Index," Post-Print hal-01529755, HAL.
    6. Jaegi Jeon & Geonwoo Kim & Jeonggyu Huh, 2021. "Consistent and efficient pricing of SPX and VIX options under multiscale stochastic volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(5), pages 559-576, May.
    7. Andrea Barletta & Elisa Nicolato & Stefano Pagliarani, 2019. "The short‐time behavior of VIX‐implied volatilities in a multifactor stochastic volatility framework," Mathematical Finance, Wiley Blackwell, vol. 29(3), pages 928-966, July.
    8. Morelli, Giacomo & Santucci de Magistris, Paolo, 2019. "Volatility tail risk under fractionality," Journal of Banking & Finance, Elsevier, vol. 108(C).
    9. Erindi Allaj & Maria Elvira Mancino & Simona Sanfelici, 2025. "Identifying the number of latent factors of stochastic volatility models," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 48(1), pages 571-602, June.
    10. Hongkai Cao & Alexandru Badescu & Zhenyu Cui & Sarath Kumar Jayaraman, 2020. "Valuation of VIX and target volatility options with affine GARCH models," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(12), pages 1880-1917, December.
    11. Jaegi Jeon & Geonwoo Kim & Jeonggyu Huh, 2019. "Consistent and Efficient Pricing of SPX and VIX Options under Multiscale Stochastic Volatility," Papers 1909.10187, arXiv.org.
    12. Xin Zang & Jun Ni & Jing-Zhi Huang & Lan Wu, 2017. "Double-jump diffusion model for VIX: evidence from VVIX," Quantitative Finance, Taylor & Francis Journals, vol. 17(2), pages 227-240, February.
    13. Kaeck, Andreas & Seeger, Norman J., 2020. "VIX derivatives, hedging and vol-of-vol risk," European Journal of Operational Research, Elsevier, vol. 283(2), pages 767-782.
    14. Gaoxiu Qiao & Gongyue Jiang, 2023. "VIX futures pricing based on high‐frequency VIX: A hybrid approach combining SVR with parametric models," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(9), pages 1238-1260, September.
    15. Kenourgios, Dimitris, 2014. "On financial contagion and implied market volatility," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 21-30.
    16. 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.
    17. Xin Zang & Jun Ni & Jing-Zhi Huang & Lan Wu, 2015. "Double-jump stochastic volatility model for VIX: evidence from VVIX," Papers 1506.07554, arXiv.org, revised Jul 2015.
    18. Simon Lalancette & Jean†Guy Simonato, 2017. "The Role of the Conditional Skewness and Kurtosis in VIX Index Valuation," European Financial Management, European Financial Management Association, vol. 23(2), pages 325-354, March.
    19. Ömer ÖNALAN, 2022. "Joint Modelling of S&P500 and VIX Indices with Rough Fractional Ornstein-Uhlenbeck Volatility Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 68-84, April.
    20. Gongyue Jiang & Gaoxiu Qiao & Feng Ma & Lu Wang, 2022. "Directly pricing VIX futures with observable dynamic jumps based on high‐frequency VIX," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(8), pages 1518-1548, August.
    21. Bo Jing & Shenghong Li & Yong Ma, 2020. "Pricing VIX options with volatility clustering," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(6), pages 928-944, June.
    22. Gonzalez-Perez, Maria T., 2015. "Model-free volatility indexes in the financial literature: A review," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 141-159.
    23. Chen & Jo-Hui & Hussain & Sabbor & Chen & Fu-Ying, 2023. "The Relationship between VIX and Technical Indicator: The Analysis of Shared-Frailty Model," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 13(3), pages 1-5.
    24. Chen Tong & Zhuo Huang, 2021. "Pricing VIX options with realized volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(8), pages 1180-1200, August.
    25. Jiling Cao & Xinfeng Ruan & Shu Su & Wenjun Zhang, 2020. "Pricing VIX derivatives with infinite‐activity jumps," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(3), pages 329-354, March.
    26. Chen Tong & Zhuo Huang & Tianyi Wang, 2022. "Do VIX futures contribute to the valuation of VIX options?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(9), pages 1644-1664, September.
    27. Mora-Valencia, Andrés & Rodríguez-Raga, Santiago & Vanegas, Esteban, 2021. "Skew index: Descriptive analysis, predictive power, and short-term forecast," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    28. Xingguo Luo & Jin E. Zhang & Wenjun Zhang, 2019. "Instantaneous squared VIX and VIX derivatives," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(10), pages 1193-1213, October.
    29. Gaoxiu Qiao & Wanmei Cui & Yijie Zhou & Chao Liang, 2025. "Volatility of Volatility and VIX Forecasting: New Evidence Based on Jumps, the Short‐Term and Long‐Term Volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(1), pages 23-46, January.

  24. Carol Alexander & Alexander Rubinov & Markus Kalepky & Stamatis Leontsinis, 2012. "Regime‐dependent smile‐adjusted delta hedging," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(3), pages 203-229, March.
    See citations under working paper version above.
  25. Kaeck, Andreas & Alexander, Carol, 2012. "Volatility dynamics for the S&P 500: Further evidence from non-affine, multi-factor jump diffusions," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 3110-3121.

    Cited by:

    1. Zhang, Yuanyuan & Zhang, Qian & Wang, Zerong & Wang, Qi, 2024. "Option valuation via nonaffine dynamics with realized volatility," Journal of Empirical Finance, Elsevier, vol. 77(C).
    2. Zhiyuan Pan & Yudong Wang & Li Liu & Qing Wang, 2019. "Improving volatility prediction and option valuation using VIX information: A volatility spillover GARCH model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(6), pages 744-776, June.
    3. Qi Wang & Zerong Wang, 2021. "VIX futures and its closed‐form pricing through an affine GARCH model with realized variance," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(1), pages 135-156, January.
    4. Wu, Xinyu & Zhao, An & Liu, Li, 2023. "Forecasting VIX using two-component realized EGARCH model," The North American Journal of Economics and Finance, Elsevier, vol. 67(C).
    5. Hsiang-Hsi Liu & Yu-Cheng Lin, 2021. "Relationships among US S&P500 Stock Index, its Futures and NASDAQ Index Futures with Volatility Spillover and Jump Diffusion: Modeling and Hedging Performance," Bulletin of Applied Economics, Risk Market Journals, vol. 8(1), pages 121-148.
    6. Tsuji, Chikashi, 2020. "Correlation and spillover effects between the US and international banking sectors: New evidence and implications for risk management," International Review of Financial Analysis, Elsevier, vol. 70(C).
    7. Chaoqun Ma & Shengjie Yue & Hui Wu & Yong Ma, 2020. "Pricing Vulnerable Options with Stochastic Volatility and Stochastic Interest Rate," Computational Economics, Springer;Society for Computational Economics, vol. 56(2), pages 391-429, August.
    8. Yoo, Eun Gyu & Yoon, Sun-Joong, 2020. "CBOE VIX and Jump-GARCH option pricing models," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 839-859.
    9. Juho Kanniainen & Ye Yue, 2019. "The Arrival of News and Return Jumps in Stock Markets: A Nonparametric Approach," Papers 1901.02691, arXiv.org.
    10. Changfu Ma & Wei Xu & Yue Kuen Kwok, 2020. "Willow tree algorithms for pricing VIX derivatives under stochastic volatility models," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 7(01), pages 1-28, March.
    11. Nicolas Langrené & Geoffrey Lee & Zili Zhu, 2016. "Switching To Nonaffine Stochastic Volatility: A Closed-Form Expansion For The Inverse Gamma Model," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(05), pages 1-37, August.
    12. Bruno Feunou & Cédric Okou, 2017. "Risk-Neutral Moment-Based Estimation of Affine Option Pricing Models," Staff Working Papers 17-55, Bank of Canada.
    13. Xavier Calmet & Nathaniel Wiesendanger Shaw, 2020. "An analytical perturbative solution to the Merton–Garman model using symmetries," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 3-22, January.
    14. Jaegi Jeon & Geonwoo Kim & Jeonggyu Huh, 2021. "Consistent and efficient pricing of SPX and VIX options under multiscale stochastic volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(5), pages 559-576, May.
    15. Peter Christoffersen & Bruno Feunou & Yoontae Jeon, 2015. "Option Valuation with Observable Volatility and Jump Dynamics," Staff Working Papers 15-39, Bank of Canada.
    16. Morelli, Giacomo & Santucci de Magistris, Paolo, 2019. "Volatility tail risk under fractionality," Journal of Banking & Finance, Elsevier, vol. 108(C).
    17. Shi, Guangping & Liu, Xiaoxing & Tang, Pan, 2016. "Pricing options under the non-affine stochastic volatility models: An extension of the high-order compact numerical scheme," Finance Research Letters, Elsevier, vol. 16(C), pages 220-229.
    18. Hu, Jun & Kanniainen, Juho, 2015. "Asymptotic expansion of European options with mean-reverting stochastic volatility dynamics," Finance Research Letters, Elsevier, vol. 14(C), pages 1-10.
    19. Bardgett, Chris & Gourier, Elise & Leippold, Markus, 2019. "Inferring volatility dynamics and risk premia from the S&P 500 and VIX markets," Journal of Financial Economics, Elsevier, vol. 131(3), pages 593-618.
    20. Tong, Zhigang & Liu, Allen, 2022. "Pricing variance swaps under subordinated Jacobi stochastic volatility models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    21. Jaegi Jeon & Geonwoo Kim & Jeonggyu Huh, 2019. "Consistent and Efficient Pricing of SPX and VIX Options under Multiscale Stochastic Volatility," Papers 1909.10187, arXiv.org.
    22. Xinyu WU & Hailin ZHOU, 2016. "GARCH DIFFUSION MODEL, iVIX, AND VOLATILITY RISK PREMIUM," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(1), pages 327-342.
    23. Calvet, Laurent E. & Fearnley, Marcus & Fisher, Adlai J. & Leippold, Markus, 2015. "What is beneath the surface? Option pricing with multifrequency latent states," Journal of Econometrics, Elsevier, vol. 187(2), pages 498-511.
    24. Xavier Calmet & Nathaniel Wiesendanger Shaw, 2019. "An analytical perturbative solution to the Merton Garman model using symmetries," Papers 1909.01413, arXiv.org, revised Jan 2021.
    25. Wan, Xiangwei & Yang, Nian, 2021. "Hermite expansion of transition densities and European option prices for multivariate diffusions with jumps," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
    26. Kaeck, Andreas & Rodrigues, Paulo & Seeger, Norman J., 2017. "Equity index variance: Evidence from flexible parametric jump–diffusion models," Journal of Banking & Finance, Elsevier, vol. 83(C), pages 85-103.
    27. Kanniainen, Juho & Lin, Binghuan & Yang, Hanxue, 2014. "Estimating and using GARCH models with VIX data for option valuation," Journal of Banking & Finance, Elsevier, vol. 43(C), pages 200-211.
    28. Mehrdoust, Farshid & Noorani, Idin & Hamdi, Abdelouahed, 2023. "Two-factor Heston model equipped with regime-switching: American option pricing and model calibration by Levenberg–Marquardt optimization algorithm," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 204(C), pages 660-678.
    29. Simon Lalancette & Jean†Guy Simonato, 2017. "The Role of the Conditional Skewness and Kurtosis in VIX Index Valuation," European Financial Management, European Financial Management Association, vol. 23(2), pages 325-354, March.
    30. Jiling Cao & Xinfeng Ruan & Wenjun Zhang, 2020. "Inferring information from the S&P 500, CBOE VIX, and CBOE SKEW indices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(6), pages 945-973, June.
    31. Márcio Poletti Laurini & Roberto Baltieri Mauad & Fernando Antonio Lucena Aiube, 2016. "Multivariate Stochastic Volatility-Double Jump Model: an application for oil assets," Working Papers Series 415, Central Bank of Brazil, Research Department.
    32. Kaustav Das & Nicolas Langren'e, 2020. "Explicit approximations of option prices via Malliavin calculus in a general stochastic volatility framework," Papers 2006.01542, arXiv.org, revised Nov 2025.
    33. Nicolas Langren'e & Geoffrey Lee & Zili Zhu, 2015. "Switching to non-affine stochastic volatility: A closed-form expansion for the Inverse Gamma model," Papers 1507.02847, arXiv.org, revised Mar 2016.
    34. Jun-Biao Lin, 2015. "Hedging Strategy Comparisons Of Volatility Index Options Using Diffusion Models," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 9(3), pages 59-69.
    35. 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.
    36. Bing Dong & Wei Xu & Zhenyu Cui, 2025. "Joint Implied Willow Tree: An Approach for Joint S&P 500/VIX Calibration," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 45(6), pages 547-568, June.
    37. Qiao, Gaoxiu & Yang, Jiyu & Li, Weiping, 2020. "VIX forecasting based on GARCH-type model with observable dynamic jumps: A new perspective," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    38. Wang, Qi & Wang, Zerong, 2020. "VIX valuation and its futures pricing through a generalized affine realized volatility model with hidden components and jump," Journal of Banking & Finance, Elsevier, vol. 116(C).
    39. Ruan, Xinfeng & Zhang, Jin E., 2018. "Equilibrium variance risk premium in a cost-free production economy," Journal of Economic Dynamics and Control, Elsevier, vol. 96(C), pages 42-60.
    40. Wu, Bin & Chen, Pengzhan & Ye, Wuyi, 2024. "Variance swaps with mean reversion and multi-factor variance," European Journal of Operational Research, Elsevier, vol. 315(1), pages 191-212.

  26. Carol Alexander & Andreas Kaeck, 2012. "Does model fit matter for hedging? Evidence from FTSE 100 options," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(7), pages 609-638, July.
    See citations under working paper version above.
  27. Ledermann, Daniel & Alexander, Carol, 2012. "Further properties of random orthogonal matrix simulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 83(C), pages 56-79.

    Cited by:

    1. Hanke, Michael & Penev, Spiridon & Schief, Wolfgang & Weissensteiner, Alex, 2017. "Random orthogonal matrix simulation with exact means, covariances, and multivariate skewness," European Journal of Operational Research, Elsevier, vol. 263(2), pages 510-523.
    2. Carol Alexander & Xiaochun Meng & Wei Wei, 2020. "Targetting Kollo Skewness with Random Orthogonal Matrix Simulation," Papers 2004.06586, arXiv.org, revised Sep 2021.
    3. Geyer, Alois & Hanke, Michael & Weissensteiner, Alex, 2014. "No-Arbitrage ROM simulation," Journal of Economic Dynamics and Control, Elsevier, vol. 45(C), pages 66-79.

  28. Carol Alexander & José María Sarabia, 2012. "Quantile Uncertainty and Value‐at‐Risk Model Risk," Risk Analysis, John Wiley & Sons, vol. 32(8), pages 1293-1308, August.

    Cited by:

    1. Wentao Hu & Cuixia Chen & Yufeng Shi & Ze Chen, 2022. "A Tail Measure With Variable Risk Tolerance: Application in Dynamic Portfolio Insurance Strategy," Methodology and Computing in Applied Probability, Springer, vol. 24(2), pages 831-874, June.
    2. Valeriane Jokhadze & Wolfgang M. Schmidt, 2020. "Measuring Model Risk In Financial Risk Management And Pricing," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 23(02), pages 1-37, April.
    3. Claußen, Arndt & Rösch, Daniel & Schmelzle, Martin, 2019. "Hedging parameter risk," Journal of Banking & Finance, Elsevier, vol. 100(C), pages 111-121.
    4. Radu Tunaru, 2015. "Model Risk in Financial Markets:From Financial Engineering to Risk Management," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 9524, April.
    5. Lazar, Emese & Zhang, Ning, 2019. "Model risk of expected shortfall," Journal of Banking & Finance, Elsevier, vol. 105(C), pages 74-93.
    6. Li, Dan & Clements, Adam & Drovandi, Christopher, 2023. "A Bayesian approach for more reliable tail risk forecasts," Journal of Financial Stability, Elsevier, vol. 64(C).
    7. Sun, Xuting & Chung, Sai-Ho & Choi, Tsan-Ming & Sheu, Jiuh-Biing & Ma, Hoi Lam, 2020. "Combating lead-time uncertainty in global supply chain's shipment-assignment: Is it wise to be risk-averse?," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 406-434.
    8. Farkas, Walter & Fringuellotti, Fulvia & Tunaru, Radu, 2020. "A cost-benefit analysis of capital requirements adjusted for model risk," Journal of Corporate Finance, Elsevier, vol. 65(C).
    9. Fritzsch, Simon & Timphus, Maike & Weiß, Gregor, 2024. "Marginals versus copulas: Which account for more model risk in multivariate risk forecasting?," Journal of Banking & Finance, Elsevier, vol. 158(C).
    10. Stepankova, Barbora & Teply, Petr, 2023. "Consistency of banks' internal probability of default estimates: Empirical evidence from the COVID-19 crisis," Journal of Banking & Finance, Elsevier, vol. 154(C).
    11. Gourieroux, Christian & Tiomo, Andre, 2019. "The Evaluation of Model Risk for Probability of Default and Expected Loss," MPRA Paper 95795, University Library of Munich, Germany.
    12. Georges Tsafack & James Cataldo, 2021. "Backtesting and estimation error: value-at-risk overviolation rate," Empirical Economics, Springer, vol. 61(3), pages 1351-1396, September.
    13. Cosma, Simona & Rimo, Giuseppe & Torluccio, Giuseppe, 2023. "Knowledge mapping of model risk in banking," International Review of Financial Analysis, Elsevier, vol. 89(C).

  29. Alexander, Carol & Cordeiro, Gauss M. & Ortega, Edwin M.M. & Sarabia, José María, 2012. "Generalized beta-generated distributions," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1880-1897.
    See citations under working paper version above.
  30. Aanand Venkatramanan & Carol Alexander, 2011. "Closed Form Approximations for Spread Options," Applied Mathematical Finance, Taylor & Francis Journals, vol. 18(5), pages 447-472, January.

    Cited by:

    1. Bertrand Tavin & Lorenz Schneider, 2018. "From the Samuelson volatility effect to a Samuelson correlation effect : An analysis of crude oil calendar spread options," Post-Print hal-02311970, HAL.
    2. Arismendi, Juan & Genaro, Alan De, 2016. "A Monte Carlo multi-asset option pricing approximation for general stochastic processes," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 75-99.
    3. Caldana, Ruggero & Fusai, Gianluca, 2013. "A general closed-form spread option pricing formula," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4893-4906.
    4. Juan Arismendi, 2014. "A Multi-Asset Option Approximation for General Stochastic Processes," ICMA Centre Discussion Papers in Finance icma-dp2014-03, Henley Business School, University of Reading.
    5. Schneider, Lorenz & Tavin, Bertrand, 2018. "From the Samuelson volatility effect to a Samuelson correlation effect: An analysis of crude oil calendar spread options," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 185-202.
    6. Elisa Alòs & Jorge A. León, 2013. "On the closed-form approximation of short-time random strike options," Economics Working Papers 1347, Department of Economics and Business, Universitat Pompeu Fabra.
    7. Jing Li & Lingfei Li & Rafael Mendoza-Arriaga, 2016. "Additive subordination and its applications in finance," Finance and Stochastics, Springer, vol. 20(3), pages 589-634, July.
    8. Alessandro Ramponi, 2022. "Spread Option Pricing in Regime-Switching Jump Diffusion Models," Mathematics, MDPI, vol. 10(9), pages 1-15, May.
    9. Lorenz Schneider & Bertrand Tavin, 2014. "From the Samuelson Volatility Effect to a Samuelson Correlation Effect: Evidence from Crude Oil Calendar Spread Options," Papers 1401.7913, arXiv.org, revised Feb 2015.
    10. Andrew Ang & Bingxu Chen & Suresh Sundaresan, 2013. "Liability Investment with Downside Risk," NBER Working Papers 19030, National Bureau of Economic Research, Inc.
    11. Elisa Al`os & Michael Coulon, 2018. "On the optimal choice of strike conventions in exchange option pricing," Papers 1807.05396, arXiv.org.
    12. Tommaso Paletta & Arturo Leccadito & Radu Tunaru, 2013. "Pricing and Hedging Basket Options with Exact Moment Matching," Papers 1312.4443, arXiv.org.
    13. Song, Shiyu & Tang, Dan & Xu, Guangli & Yin, Xunbai, 2023. "An analytical GARCH valuation model for spread options with default risk," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 1-20.
    14. Chun-Sing Lau & Chi-Fai Lo, 2014. "The pricing of basket-spread options," Quantitative Finance, Taylor & Francis Journals, vol. 14(11), pages 1971-1982, November.
    15. Domenico De Giovanni & Arturo Leccadito & Debora Loccisano, 2024. "Co-movements, option pricing and risk management: an application to WTI versus Brent spread options," Annals of Operations Research, Springer, vol. 336(1), pages 1039-1061, May.

  31. Carol Alexander & Andreas Kaeck & Leonardo M. Nogueira, 2009. "Model risk adjusted hedge ratios," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 29(11), pages 1021-1049, November.

    Cited by:

    1. Pascal François & Lars Stentoft, 2021. "Smile‐implied hedging with volatility risk," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(8), pages 1220-1240, August.
    2. Claußen, Arndt & Rösch, Daniel & Schmelzle, Martin, 2019. "Hedging parameter risk," Journal of Banking & Finance, Elsevier, vol. 100(C), pages 111-121.
    3. Hilliard, Jimmy E. & Hilliard, Jitka, 2019. "A jump-diffusion model for pricing and hedging with margined options: An application to Brent crude oil contracts," Journal of Banking & Finance, Elsevier, vol. 98(C), pages 137-155.
    4. Marcel T. P. Van Dijk & Cornelis S. L. De Graaf & Cornelis W. Oosterlee, 2018. "Between ℙ and ℚ: The ℙ ℚ Measure for Pricing in Asset Liability Management," JRFM, MDPI, vol. 11(4), pages 1-23, October.
    5. Xia, Kun & Yang, Xuewei & Zhu, Peng, 2023. "Delta hedging and volatility-price elasticity: A two-step approach," Journal of Banking & Finance, Elsevier, vol. 153(C).
    6. Ke Nian & Thomas F. Coleman & Yuying Li, 2018. "Learning minimum variance discrete hedging directly from the market," Quantitative Finance, Taylor & Francis Journals, vol. 18(7), pages 1115-1128, July.
    7. Barletta, Andrea & Santucci de Magistris, Paolo & Sloth, David, 2019. "It only takes a few moments to hedge options," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 251-269.
    8. Hull, John & White, Alan, 2017. "Optimal delta hedging for options," Journal of Banking & Finance, Elsevier, vol. 82(C), pages 180-190.

  32. Carol Alexander & Emese Lazar, 2009. "Modelling Regime‐Specific Stock Price Volatility," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(6), pages 761-797, December.

    Cited by:

    1. Haas Markus, 2010. "Skew-Normal Mixture and Markov-Switching GARCH Processes," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-56, September.
    2. Massimo Guidolin & Stuart Hyde & David McMillan & Sadayuki Ono, 2010. "Does the macroeconomy predict U.K. asset returns in a nonlinear fashion? comprehensive out-of-sample evidence," Working Papers 2010-039, Federal Reserve Bank of St. Louis.
    3. Yin-Wong Cheung & Sang-Kuck Chung, 2011. "A Long Memory Model with Normal Mixture GARCH," Computational Economics, Springer;Society for Computational Economics, vol. 38(4), pages 517-539, November.
    4. Cifter, Atilla, 2012. "Volatility Forecasting with Asymmetric Normal Mixture Garch Model: Evidence from South Africa," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 127-142, June.
    5. Focardi, Sergio M. & Fabozzi, Frank J. & Mazza, Davide, 2019. "Modeling local trends with regime shifting models with time-varying probabilities," International Review of Financial Analysis, Elsevier, vol. 66(C).
    6. Lolea Iulian-Cornel & Vilcu Lucian Constantin, 2018. "Measures of volatility for the Romanian Stock Exchange: a regime switching approach," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 12(1), pages 544-556, May.
    7. Kurter, Zeynep O., 2024. "How macroeconomic conditions affect systemic risk in the short and long-run?," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    8. Trabelsi, Mohamed Ali & Hmida, Salma, 2018. "A Dynamic Correlation Analysis of Financial Contagion: Evidence from the Eurozone Stock Markets," MPRA Paper 115852, University Library of Munich, Germany, revised 0218.
    9. Broda, Simon A. & Haas, Markus & Krause, Jochen & Paolella, Marc S. & Steude, Sven C., 2013. "Stable mixture GARCH models," Journal of Econometrics, Elsevier, vol. 172(2), pages 292-306.
    10. Kurter, Zeynep O., 2022. "How macroeconomic conditions affect systemic risk in the short and long-run?," The Warwick Economics Research Paper Series (TWERPS) 1407, University of Warwick, Department of Economics.
    11. Toshiyuki Yam awake & Joseph Sheely & Roberto Serrano & Jiro Hodoshima, 2022. "Comparative Performance of Cryptocurrencies through the Aumann and Serrano Economic Index of Riskiness," Working Papers 2022-007, Brown University, Department of Economics.
    12. Haas, Markus & Krause, Jochen & Paolella, Marc S. & Steude, Sven C., 2013. "Time-varying mixture GARCH models and asymmetric volatility," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 602-623.
    13. Qu, Hui & Duan, Qingling & Niu, Mengyi, 2018. "Modeling the volatility of realized volatility to improve volatility forecasts in electricity markets," Energy Economics, Elsevier, vol. 74(C), pages 767-776.
    14. Alexander, Carol & Lazar, Emese & Stanescu, Silvia, 2021. "Analytic moments for GJR-GARCH (1, 1) processes," International Journal of Forecasting, Elsevier, vol. 37(1), pages 105-124.
    15. Massimo Guidolin, 2013. "Markov switching models in asset pricing research," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 1, pages 3-44, Edward Elgar Publishing.
    16. Chon, Sora & Kim, Jaeho, 2021. "Does the Financial Leverage Effect Depend on Volatility Regimes?," Finance Research Letters, Elsevier, vol. 39(C).
    17. Jiro Hodoshima & Toshiyuki Yamawake, 2022. "Comparing Dynamic and Static Performance Indexes in the Stock Market: Evidence From Japan," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(2), pages 171-193, June.
    18. BenSaïda, Ahmed, 2015. "The frequency of regime switching in financial market volatility," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 63-79.

  33. Alexander, Carol & Sheedy, Elizabeth, 2008. "Developing a stress testing framework based on market risk models," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2220-2236, October.

    Cited by:

    1. Tsukahara, Fábio Yasuhiro & Kimura, Herbert & Sobreiro, Vinicius Amorim & Zambrano, Juan Carlos Arismendi, 2016. "Validation of default probability models: A stress testing approach," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 70-85.
    2. Eyden Samunderu & Yvonne T. Murahwa, 2021. "Return Based Risk Measures for Non-Normally Distributed Returns: An Alternative Modelling Approach," JRFM, MDPI, vol. 14(11), pages 1-48, November.
    3. Ranković, Vladimir & Ivanović, Miloš & Urošević, Branko & Jelic, Ranko, 2017. "Market risk management in a post-Basel II regulatory environmentAuthor-Name: Drenovak, Mikica," European Journal of Operational Research, Elsevier, vol. 257(3), pages 1030-1044.
    4. d’Addona, Stefano & Khanom, Najrin, 2022. "Estimating tail-risk using semiparametric conditional variance with an application to meme stocks," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 241-260.
    5. Huang, Xin & Zhou, Hao & Zhu, Haibin, 2009. "A framework for assessing the systemic risk of major financial institutions," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2036-2049, November.
    6. Righi, Marcelo Brutti & Ceretta, Paulo Sergio, 2015. "A comparison of Expected Shortfall estimation models," Journal of Economics and Business, Elsevier, vol. 78(C), pages 14-47.
    7. Rubia, Antonio & Sanchis-Marco, Lidia, 2013. "On downside risk predictability through liquidity and trading activity: A dynamic quantile approach," International Journal of Forecasting, Elsevier, vol. 29(1), pages 202-219.
    8. So, Mike K.P. & Wong, Jerry & Asai, Manabu, 2013. "Stress testing correlation matrices for risk management," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 310-322.
    9. Simone Varotto, 2010. "Stress Testing Credit Risk: The Great Depression Scenario," ICMA Centre Discussion Papers in Finance icma-dp2010-03, Henley Business School, University of Reading.
    10. Salhi, Khaled & Deaconu, Madalina & Lejay, Antoine & Champagnat, Nicolas & Navet, Nicolas, 2016. "Regime switching model for financial data: Empirical risk analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 148-157.
    11. Chakraborty, Sandip & Kakani, Ram Kumar & Sampath, Aravind, 2022. "Portfolio risk and stress across the business cycle," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    12. de Carvalho, Pablo Jose Campos & Gupta, Aparna, 2018. "A network approach to unravel asset price comovement using minimal dependence structure," Journal of Banking & Finance, Elsevier, vol. 91(C), pages 119-132.
    13. Georges Dionne & Maria Pacurar & Xiaozhou Zhou, 2014. "Liquidity-adjusted Intraday Value at Risk modeling and risk management: An application to data from Deutsche Börse," Working Papers 14-1, HEC Montreal, Canada Research Chair in Risk Management.
    14. Pérignon, Christophe & Smith, Daniel R., 2010. "The level and quality of Value-at-Risk disclosure by commercial banks," Journal of Banking & Finance, Elsevier, vol. 34(2), pages 362-377, February.
    15. Karagiannidis, Iordanis & Sykes Wilford, D., 2015. "Modeling fund and portfolio risk: A bi-modal approach to analyzing risk in turbulent markets," Review of Financial Economics, Elsevier, vol. 25(C), pages 19-26.
    16. Kalkbrener, Michael & Packham, Natalie, 2018. "Correlation Under Stress In Normal Variance Mixture Models," IRTG 1792 Discussion Papers 2018-035, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    17. Packham, N. & Woebbeking, C.F., 2019. "A factor-model approach for correlation scenarios and correlation stress testing," Journal of Banking & Finance, Elsevier, vol. 101(C), pages 92-103.
    18. Apergis, Emmanuel & Apergis, Iraklis & Apergis, Nicholas, 2019. "A new macro stress testing approach for financial realignment in the Eurozone," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 61(C), pages 52-80.
    19. Amira Dridi & Mohamed El Ghourabi & Mohamed Limam, 2012. "On monitoring financial stress index with extreme value theory," Quantitative Finance, Taylor & Francis Journals, vol. 12(3), pages 329-339, March.
    20. Sun, Tao, 2010. "Identifying Vulnerabilities in Systemically Important Financial Institutions in a Macro-Financial Linkages Framework," The Journal of Economic Asymmetries, Elsevier, vol. 7(2), pages 77-103.
    21. Garcia-Jorcano, Laura & Sanchis-Marco, Lidia, 2021. "Systemic-systematic risk in financial system: A dynamic ranking based on expectiles," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 330-365.
    22. Dovern, Jonas & Meier, Carsten-Patrick & Vilsmeier, Johannes, 2010. "How resilient is the German banking system to macroeconomic shocks?," Journal of Banking & Finance, Elsevier, vol. 34(8), pages 1839-1848, August.
    23. Koliai, Lyes, 2016. "Extreme risk modeling: An EVT–pair-copulas approach for financial stress tests," Journal of Banking & Finance, Elsevier, vol. 70(C), pages 1-22.
    24. Berens, Tobias & Weiß, Gregor N.F. & Wied, Dominik, 2015. "Testing for structural breaks in correlations: Does it improve Value-at-Risk forecasting?," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 135-152.
    25. Agata Gemzik-Salwach, 2012. "The Use Of A Value At Risk Measure For The Analysis Of Bank Interest Margins," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, vol. 8(4), pages 15-29, February.
    26. Basu, Sanjay, 2011. "Comparing simulation models for market risk stress testing," European Journal of Operational Research, Elsevier, vol. 213(1), pages 329-339, August.
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  34. Alexander, C. & Barbosa, A., 2008. "Hedging index exchange traded funds," Journal of Banking & Finance, Elsevier, vol. 32(2), pages 326-337, February.

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    1. Lyudmila A. Glik & Oleg L. Kritski, 2014. "Finding informed traders in futures and their inderlying assets in intraday trading," Papers 1402.6583, arXiv.org.
    2. Son, D. Pham & Marshall, Ben R. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat, 2023. "Liquidity spillover between ETFs and their constituents," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 723-747.
    3. Tim Leung & Brian Ward, 2017. "Dynamic Index Tracking and Risk Exposure Control Using Derivatives," Papers 1705.10454, arXiv.org.
    4. Yu‐Sheng Lai, 2018. "Estimation of the optimal futures hedge ratio for equity index portfolios using a realized beta generalized autoregressive conditional heteroskedasticity model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(11), pages 1370-1390, November.
    5. Cumming, Douglas & Dai, Na & Johan, Sofia, 2020. "Dodd-Franking the hedge Funds," Journal of Banking & Finance, Elsevier, vol. 119(C).
    6. Emilio Ricardo Carvalhais & Antonio Marcos Duarte Júnior, 2015. "Indexation of Fixed-Income Portfolios to the IMA-B," Brazilian Business Review, Fucape Business School, vol. 12(3), pages 116-142, May.
    7. Marshall, Ben R. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat, 2018. "Do liquidity proxies measure liquidity accurately in ETFs?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 94-111.
    8. Pan, Zhiyuan & Wang, Yudong & Yang, Li, 2014. "Hedging crude oil using refined product: A regime switching asymmetric DCC approach," Energy Economics, Elsevier, vol. 46(C), pages 472-484.
    9. John Hua Fan & Eduardo Roca & Alexandr Akimov, 2014. "Estimation and performance evaluation of optimal hedge ratios in the carbon market of the European Union Emissions Trading Scheme," Australian Journal of Management, Australian School of Business, vol. 39(1), pages 73-91, February.
    10. Shimada, Junji & Tsukuda, Yoshihiko & Miyakoshi, Tatsuyoshi, 2021. "Who is the center of local currency Asian government bond markets?," Japan and the World Economy, Elsevier, vol. 59(C).
    11. Christoph Schmidhammer & Sebastian Lobe & Klaus Röder, 2014. "The real benchmark of DAX index products and the influence of information dissemination: A natural experiment," Journal of Asset Management, Palgrave Macmillan, vol. 15(2), pages 129-149, April.
    12. Yu‐Sheng Lai, 2019. "Flexible covariance dynamics, high‐frequency data, and optimal futures hedging," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(12), pages 1529-1548, December.
    13. Liu, Hung-Chun & Chiang, Shu-Mei & Cheng, Nick Ying-Pin, 2012. "Forecasting the volatility of S&P depositary receipts using GARCH-type models under intraday range-based and return-based proxy measures," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 78-91.
    14. Yu‐Sheng Lai, 2023. "Optimal futures hedging by using realized semicovariances: The information contained in signed high‐frequency returns," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(5), pages 677-701, May.
    15. Atsuyuki Naka & Jiayuan Tian & Seungho Shin, 2025. "Effects of Liquidity on TE and Performance of Japanese ETFs," IJFS, MDPI, vol. 13(3), pages 1-32, September.
    16. Chen, Mei-Ping & Lee, Chien-Chiang & Hsu, Yi-Chung, 2017. "Investor sentiment and country exchange traded funds: Does economic freedom matter?," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 285-299.
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    18. Elias Cavalcante Junior & Fernando Moraes & Rodrigo De Losso, 2020. "Unskilled Fund Managers: Replicating Active Fund Performance With Few ETFs," Working Papers, Department of Economics 2020_14, University of São Paulo (FEA-USP), revised 15 Sep 2020.
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  35. Alexander, Carol & Kaeck, Andreas, 2008. "Regime dependent determinants of credit default swap spreads," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1008-1021, June.

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    1. Özer Depren & Mustafa Tevfik Kartal & Serpil Kılıç Depren, 2021. "Recent innovation in benchmark rates (BMR): evidence from influential factors on Turkish Lira Overnight Reference Interest Rate with machine learning algorithms," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-20, December.
    2. Benbouzid, Nadia & Mallick, Sushanta & Pilbeam, Keith, 2018. "The housing market and the credit default swap premium in the UK banking sector: A VAR approach," Research in International Business and Finance, Elsevier, vol. 44(C), pages 1-15.
    3. Kalimipalli, Madhu & Nayak, Subhankar & Perez, M. Fabricio, 2013. "Dynamic effects of idiosyncratic volatility and liquidity on corporate bond spreads," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2969-2990.
    4. Zimmermann, Paul, 2021. "The role of the leverage effect in the price discovery process of credit markets," Journal of Economic Dynamics and Control, Elsevier, vol. 122(C).
    5. Dimpfl Thomas & Peter Franziska J., 2016. "Price discovery in the markets for credit risk: a Markov switching approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(3), pages 233-249, June.
    6. Samaniego-Medina, Reyes & Trujillo-Ponce, Antonio & Parrado-Martínez, Purificación & di Pietro, Filippo, 2016. "Determinants of bank CDS spreads in Europe," Journal of Economics and Business, Elsevier, vol. 86(C), pages 1-15.
    7. Ratner, Mitchell & Chiu, Chih-Chieh (Jason), 2013. "Hedging stock sector risk with credit default swaps," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 18-25.
    8. Oscar V. De la Torre-Torres & Dora Aguilasocho-Montoya & María de la Cruz del Río-Rama, 2020. "A Two-Regime Markov-Switching GARCH Active Trading Algorithm for Coffee, Cocoa, and Sugar Futures," Mathematics, MDPI, vol. 8(6), pages 1-19, June.
    9. Naifar, Nader, 2011. "What explains default risk premium during the financial crisis? Evidence from Japan," Journal of Economics and Business, Elsevier, vol. 63(5), pages 412-430, September.
    10. van Bekkum, Sjoerd, 2016. "Ireland’s 2010 EU/IMF intervention: Costs and benefits," Journal of Banking & Finance, Elsevier, vol. 72(C), pages 175-183.
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    12. Podlich, Natalia & Wedow, Michael, 2011. "Credit contagion between financial systems," Discussion Paper Series 2: Banking and Financial Studies 2011,15, Deutsche Bundesbank.
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  36. Alexander, Carol & Nogueira, Leonardo M., 2007. "Model-free hedge ratios and scale-invariant models," Journal of Banking & Finance, Elsevier, vol. 31(6), pages 1839-1861, June.

    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. Pascal Franc{c}ois & Genevi`eve Gauthier & Fr'ed'eric Godin & Carlos O. P'erez-Mendoza, 2025. "Deep Hedging with Options Using the Implied Volatility Surface," Papers 2504.06208, arXiv.org, revised Aug 2025.
    3. Carol Alexander & Alexander Rubinov & Markus Kalepky & Stamatis Leontsinis, 2010. "Regime-Dependent Smile-Adjusted Delta Hedging," ICMA Centre Discussion Papers in Finance icma-dp2010-10, Henley Business School, University of Reading.
    4. Babu Jose & James Varghese, 2021. "Ideal Investment Protection in Optimistic Perceptions: Evidence From the Indian Equity Options Market," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 12(2), pages 327-340, April.
    5. Hain, Martin & Uhrig-Homburg, Marliese & Unger, Nils, 2018. "Risk factors and their associated risk premia: An empirical analysis of the crude oil market," Journal of Banking & Finance, Elsevier, vol. 95(C), pages 44-63.
    6. Fengler, Matthias & Hin, Lin-Yee, 2011. "Semi-nonparametric estimation of the call price surface under strike and time-to-expiry no-arbitrage constraints," Economics Working Paper Series 1136, University of St. Gallen, School of Economics and Political Science, revised May 2013.
    7. Evgenii Vladimirov, 2023. "iCOS: Option-Implied COS Method," Papers 2309.00943, arXiv.org, revised Feb 2024.
    8. Samuel N. Cohen & Christoph Reisinger & Sheng Wang, 2022. "Hedging option books using neural-SDE market models," Papers 2205.15991, arXiv.org.
    9. Dalderop, Jeroen, 2020. "Nonparametric filtering of conditional state-price densities," Journal of Econometrics, Elsevier, vol. 214(2), pages 295-325.
    10. Kaeck, Andreas & Seeger, Norman J., 2020. "VIX derivatives, hedging and vol-of-vol risk," European Journal of Operational Research, Elsevier, vol. 283(2), pages 767-782.
    11. Alexandru Badescu & Robert J. Elliott & Juan-Pablo Ortega, 2012. "Quadratic hedging schemes for non-Gaussian GARCH models," Papers 1209.5976, arXiv.org, revised Dec 2013.
    12. Badescu, Alexandru & Elliott, Robert J. & Ortega, Juan-Pablo, 2014. "Quadratic hedging schemes for non-Gaussian GARCH models," Journal of Economic Dynamics and Control, Elsevier, vol. 42(C), pages 13-32.
    13. Xia, Kun & Yang, Xuewei & Zhu, Peng, 2023. "Delta hedging and volatility-price elasticity: A two-step approach," Journal of Banking & Finance, Elsevier, vol. 153(C).
    14. Rolf Poulsen & Klaus Reiner Schenk-Hoppe & Christian-Oliver Ewald, 2009. "Risk minimization in stochastic volatility models: model risk and empirical performance," Quantitative Finance, Taylor & Francis Journals, vol. 9(6), pages 693-704.
    15. Fabio Antonelli & Alessandro Ramponi & Sergio Scarlatti, 2015. "Random Time Forward Starting Options," Papers 1504.03552, arXiv.org.
    16. Andrea Barletta & Paolo Santucci de Magistris, 2018. "Analyzing the Risks Embedded in Option Prices with rndfittool," Risks, MDPI, vol. 6(2), pages 1-15, March.
    17. Pascal Franc{c}ois & Genevi`eve Gauthier & Fr'ed'eric Godin & Carlos Octavio P'erez Mendoza, 2024. "Enhancing Deep Hedging of Options with Implied Volatility Surface Feedback Information," Papers 2407.21138, arXiv.org, revised Aug 2025.
    18. Augustyniak, Maciej & Badescu, Alexandru & Bégin, Jean-François, 2023. "A discrete-time hedging framework with multiple factors and fat tails: On what matters," Journal of Econometrics, Elsevier, vol. 232(2), pages 416-444.
    19. Roberto Daluiso & Marco Pinciroli & Michele Trapletti & Edoardo Vittori, 2023. "CVA Hedging by Risk-Averse Stochastic-Horizon Reinforcement Learning," Papers 2312.14044, arXiv.org.
    20. Carol Alexander & Andreas Kaeck, 2010. "Does model fit matter for hedging? Evidence from FTSE 100 options," ICMA Centre Discussion Papers in Finance icma-dp2010-05, Henley Business School, University of Reading.
    21. Barletta, Andrea & Santucci de Magistris, Paolo & Sloth, David, 2019. "It only takes a few moments to hedge options," Journal of Economic Dynamics and Control, Elsevier, vol. 100(C), pages 251-269.
    22. Hull, John & White, Alan, 2017. "Optimal delta hedging for options," Journal of Banking & Finance, Elsevier, vol. 82(C), pages 180-190.
    23. Fengler, Matthias R. & Hin, Lin-Yee, 2015. "Semi-nonparametric estimation of the call-option price surface under strike and time-to-expiry no-arbitrage constraints," Journal of Econometrics, Elsevier, vol. 184(2), pages 242-261.
    24. Liu, Shican & Li, Qing & Fan, Siqi, 2025. "The impact of volatility regime dynamics on option pricing," The North American Journal of Economics and Finance, Elsevier, vol. 76(C).

  37. Carol Alexander & Leonardo Nogueira, 2007. "Model-free price hedge ratios for homogeneous claims on tradable assets," Quantitative Finance, Taylor & Francis Journals, vol. 7(5), pages 473-479.

    Cited by:

    1. Pascal François & Rémi Galarneau‐Vincent & Geneviève Gauthier & Frédéric Godin, 2022. "Venturing into uncharted territory: An extensible implied volatility surface model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(10), pages 1912-1940, October.
    2. Alexandru Badescu & Robert J. Elliott & Juan-Pablo Ortega, 2012. "Quadratic hedging schemes for non-Gaussian GARCH models," Papers 1209.5976, arXiv.org, revised Dec 2013.
    3. Badescu, Alexandru & Elliott, Robert J. & Ortega, Juan-Pablo, 2014. "Quadratic hedging schemes for non-Gaussian GARCH models," Journal of Economic Dynamics and Control, Elsevier, vol. 42(C), pages 13-32.
    4. Rolf Poulsen & Klaus Reiner Schenk-Hoppe & Christian-Oliver Ewald, 2009. "Risk minimization in stochastic volatility models: model risk and empirical performance," Quantitative Finance, Taylor & Francis Journals, vol. 9(6), pages 693-704.

  38. Ali Bora Yiǧitbaşioǧlu & Carol Alexander, 2006. "Pricing And Hedging Convertible Bonds: Delayed Calls And Uncertain Volatility," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 9(03), pages 415-453.

    Cited by:

    1. Liu, Qiang & Guo, Shuxin, 2020. "An excellent approximation for the m out of n day provision," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    2. Radha Krishn Coonjobeharry & Désiré Yannick Tangman & Muddun Bhuruth, 2016. "A Two-Factor Jump-Diffusion Model For Pricing Convertible Bonds With Default Risk," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(06), pages 1-26, September.

  39. Emese Lazar & Carol Alexander, 2006. "Normal mixture GARCH(1,1): applications to exchange rate modelling," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(3), pages 307-336.

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    1. Ghassan, Hassan Belkacem & AlHajhoj, Hassan Rafdan, 2016. "Long run dynamic volatilities between OPEC and non-OPEC crude oil prices," Applied Energy, Elsevier, vol. 169(C), pages 384-394.
    2. Slim, Skander & Koubaa, Yosra & BenSaïda, Ahmed, 2017. "Value-at-Risk under Lévy GARCH models: Evidence from global stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 46(C), pages 30-53.
    3. Ñíguez, Trino-Manuel & Perote, Javier, 2017. "Moments expansion densities for quantifying financial risk," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 53-69.
    4. Haas Markus, 2010. "Skew-Normal Mixture and Markov-Switching GARCH Processes," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-56, September.
    5. Markus Haas & Stefan Mittnik & Bruce Mizrach, 2004. "Assessing Central Bank Credibility During the EMS Crises: Comparing Option and Spot Market-Based Forecasts," Departmental Working Papers 200424, Rutgers University, Department of Economics.
    6. Haas, Markus & Mittnik, Stefan, 2008. "Multivariate regimeswitching GARCH with an application to international stock markets," CFS Working Paper Series 2008/08, Center for Financial Studies (CFS).
    7. Kai Yang & Qingqing Zhang & Xinyang Yu & Xiaogang Dong, 2023. "Bayesian inference for a mixture double autoregressive model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 77(2), pages 188-207, May.
    8. de Souza Vasconcelos, Camila & Hadad Júnior, Eli, 2023. "Forecasting exchange rate: A bibliometric and content analysis," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 607-628.
    9. Xi, Yanhui & Peng, Hui & Qin, Yemei & Xie, Wenbiao & Chen, Xiaohong, 2015. "Bayesian analysis of heavy-tailed market microstructure model and its application in stock markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 117(C), pages 141-153.
    10. Cifter, Atilla & Ozun, Alper, 2007. "The Predictive Performance of Asymmetric Normal Mixture GARCH in Risk Management: Evidence from Turkey," MPRA Paper 2489, University Library of Munich, Germany.
    11. 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.
    12. Eugenia Sanin, María & Violante, Francesco & Mansanet-Bataller, María, 2015. "Understanding volatility dynamics in the EU-ETS market," Energy Policy, Elsevier, vol. 82(C), pages 321-331.
    13. Bruno Solnik & Thaisiri Watewai, 2016. "International Correlation Asymmetries: Frequent-but-Small and Infrequent-but-Large Equity Returns," PIER Discussion Papers 31, Puey Ungphakorn Institute for Economic Research.
    14. Marc S. Paolella, 2016. "Stable-GARCH Models for Financial Returns: Fast Estimation and Tests for Stability," Econometrics, MDPI, vol. 4(2), pages 1-28, May.
    15. Guglielmo Maria Caporale & Timur Zekokh, 2018. "Modelling Volatility of Cryptocurrencies Using Markov-Switching Garch Models," CESifo Working Paper Series 7167, CESifo.
    16. Christophe Chorro & Dominique Guegan & Florian Ielpo & Hanjarivo Lalaharison, 2014. "Testing for Leverage Effects in the Returns of US Equities," Documents de travail du Centre d'Economie de la Sorbonne 14022r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Jan 2017.
    17. Pedro Correia S. Bezerra & Pedro Henrique M. Albuquerque, 2017. "Volatility forecasting via SVR–GARCH with mixture of Gaussian kernels," Computational Management Science, Springer, vol. 14(2), pages 179-196, April.
    18. Yin-Wong Cheung & Sang-Kuck Chung, 2011. "A Long Memory Model with Normal Mixture GARCH," Computational Economics, Springer;Society for Computational Economics, vol. 38(4), pages 517-539, November.
    19. Cheung, Yin-Wong & Chung, Sang-Kuck, 2009. "A Long Memory Model with Mixed Normal GARCH for US Inflation Data," Santa Cruz Department of Economics, Working Paper Series qt94r403d2, Department of Economics, UC Santa Cruz.
    20. Ata Ozkaya & Omer Altun, 2024. "Domestic and Global Causes for Exchange Rate Volatility: Evidence From Turkey," SAGE Open, , vol. 14(2), pages 21582440241, April.
    21. Haas, Markus & Mittnik, Stefan & Paolella, Marc S., 2008. "Asymmetric multivariate normal mixture GARCH," CFS Working Paper Series 2008/07, Center for Financial Studies (CFS).
    22. Ausín Olivera, María Concepción & Galeano, Pedro, 2005. "Bayesian estimation of the gaussian mixture garch model," DES - Working Papers. Statistics and Econometrics. WS ws053605, Universidad Carlos III de Madrid. Departamento de Estadística.
    23. Drachal, Krzysztof, 2016. "Forecasting spot oil price in a dynamic model averaging framework — Have the determinants changed over time?," Energy Economics, Elsevier, vol. 60(C), pages 35-46.
    24. 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.
    25. Tanattrin Bunnag, 2015. "Hedging Petroleum Futures with Multivariate GARCH Models," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 105-120.
    26. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2017. "The contribution of jumps to forecasting the density of returns," Post-Print halshs-01442618, HAL.
    27. Badescu Alex & Kulperger Reg & Lazar Emese, 2008. "Option Valuation with Normal Mixture GARCH Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(2), pages 1-42, May.
    28. Anastassios A. Drakos & Georgios P. Kouretas & Leonidas P. Zarangas, 2010. "Forecasting financial volatility of the Athens stock exchange daily returns: an application of the asymmetric normal mixture GARCH model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 331-350.
    29. 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.
    30. Maciej Augustyniak & Mathieu Boudreault & Manuel Morales, 2018. "Maximum Likelihood Estimation of the Markov-Switching GARCH Model Based on a General Collapsing Procedure," Methodology and Computing in Applied Probability, Springer, vol. 20(1), pages 165-188, March.
    31. Marcin Chlebus, 2016. "EWS-GARCH: New Regime Switching Approach to Forecast Value-at-Risk," Working Papers 2016-06, Faculty of Economic Sciences, University of Warsaw.
    32. Li, Dan & Clements, Adam & Drovandi, Christopher, 2021. "Efficient Bayesian estimation for GARCH-type models via Sequential Monte Carlo," Econometrics and Statistics, Elsevier, vol. 19(C), pages 22-46.
    33. Giannikis, D. & Vrontos, I.D. & Dellaportas, P., 2008. "Modelling nonlinearities and heavy tails via threshold normal mixture GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1549-1571, January.
    34. Carol Alexandra & Emese Lazar, 2005. "The Continuous Limit of GARCH Processess," ICMA Centre Discussion Papers in Finance icma-dp2004-09, Henley Business School, University of Reading, revised Jul 2004.
    35. Broda, Simon A. & Haas, Markus & Krause, Jochen & Paolella, Marc S. & Steude, Sven C., 2013. "Stable mixture GARCH models," Journal of Econometrics, Elsevier, vol. 172(2), pages 292-306.
    36. Wang, Xinyu & Qi, Zikang & Huang, Jianglu, 2023. "How do monetary shock, financial crisis, and quotation reform affect the long memory of exchange rate volatility? Evidence from major currencies," Economic Modelling, Elsevier, vol. 120(C).
    37. Ñíguez, Trino-Manuel & Perote, Javier, 2016. "Multivariate moments expansion density: Application of the dynamic equicorrelation model," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 216-232.
    38. Hassan Ghassan & Prashanta Banerjee, 2015. "A threshold cointegration analysis of asymmetric adjustment of OPEC and non-OPEC monthly crude oil prices," Empirical Economics, Springer, vol. 49(1), pages 305-323, August.
    39. Tim Bollerslev, 2008. "Glossary to ARCH (GARCH)," CREATES Research Papers 2008-49, Department of Economics and Business Economics, Aarhus University.
    40. Wang, Xi & Yang, Jiao-Hui & Wang, Kai-Li & Fawson, Christopher, 2017. "Dynamic information spillovers in intraregionally-focused spot and forward currency markets," Journal of International Money and Finance, Elsevier, vol. 71(C), pages 78-110.
    41. Jochen Krause & Marc S. Paolella, 2014. "A Fast, Accurate Method for Value-at-Risk and Expected Shortfall," Econometrics, MDPI, vol. 2(2), pages 1-25, June.
    42. Maddalena Cavicchioli, 2021. "Statistical inference for mixture GARCH models with financial application," Computational Statistics, Springer, vol. 36(4), pages 2615-2642, December.
    43. Rombouts Jeroen V. K. & Bouaddi Mohammed, 2009. "Mixed Exponential Power Asymmetric Conditional Heteroskedasticity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(3), pages 1-32, May.
    44. Chikashi Tsuji, 2016. "Does the fear gauge predict downside risk more accurately than econometric models? Evidence from the US stock market," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1220711-122, December.
    45. Nomikos, Nikos K. & Pouliasis, Panos K., 2011. "Forecasting petroleum futures markets volatility: The role of regimes and market conditions," Energy Economics, Elsevier, vol. 33(2), pages 321-337, March.
    46. Mohamed Osman, 2015. "Dynamic Asymmetries in the Electric Consumption of the GCC Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 5(2), pages 461-467.
    47. Ames, Matthew & Bagnarosa, Guillaume & Peters, Gareth W., 2017. "Violations of uncovered interest rate parity and international exchange rate dependences," Journal of International Money and Finance, Elsevier, vol. 73(PA), pages 162-187.
    48. Christophe Chorro & Dominique Guegan & Florian Ielpo, 2010. "Likelihood-Related Estimation Methods and Non-Gaussian GARCH Processes," Post-Print halshs-00523371, HAL.
    49. Hartz, Christoph & Mittnik, Stefan & Paolella, Marc, 2006. "Accurate value-at-risk forecasting based on the normal-GARCH model," Computational Statistics & Data Analysis, Elsevier, vol. 51(4), pages 2295-2312, December.
    50. 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).
    51. Rubing Liang & Binbin Qin & Qiang Xia, 2024. "Bayesian Inference for Mixed Gaussian GARCH-Type Model by Hamiltonian Monte Carlo Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 63(1), pages 193-220, January.
    52. Christophe Chorro & Dominique Guegan & Florian Ielpo, 2012. "Option Pricing for GARCH-type Models with Generalized Hyperbolic Innovations," PSE-Ecole d'économie de Paris (Postprint) hal-00511965, HAL.
    53. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2020. "The contribution of intraday jumps to forecasting the density of returns," Post-Print halshs-02505861, HAL.
    54. Pouliasis, Panos K. & Papapostolou, Nikos C. & Kyriakou, Ioannis & Visvikis, Ilias D., 2018. "Shipping equity risk behavior and portfolio management," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 178-200.
    55. Wu, C.C. & Lee, Jack C., 2007. "Estimation of a utility-based asset pricing model using normal mixture GARCH(1,1)," Economic Modelling, Elsevier, vol. 24(2), pages 329-349, March.
    56. Jeffrey Chu & Saralees Nadarajah & Stephen Chan, 2015. "Statistical Analysis of the Exchange Rate of Bitcoin," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-27, July.
    57. Kuang-Liang Chang, 2011. "The optimal value-at-risk hedging strategy under bivariate regime switching ARCH framework," Applied Economics, Taylor & Francis Journals, vol. 43(21), pages 2627-2640.
    58. Carlo Mari & Carlo Lucheroni, 2025. "Hierarchical Vector Mixtures for Electricity Day-Ahead Market Prices Scenario Generation," Mathematics, MDPI, vol. 13(17), pages 1-40, September.
    59. Yang Zhang & Yidong Peng & Xiuli Qu & Jing Shi & Ergin Erdem, 2021. "A Finite Mixture GARCH Approach with EM Algorithm for Energy Forecasting Applications," Energies, MDPI, vol. 14(9), pages 1-22, April.
    60. Haas, Markus & Krause, Jochen & Paolella, Marc S. & Steude, Sven C., 2013. "Time-varying mixture GARCH models and asymmetric volatility," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 602-623.
    61. Christophe Chorro & Dominique Guegan & Florian Ielpo, 2010. "Option pricing for GARCH-type models with generalized hyperbolic innovations," Post-Print halshs-00469529, HAL.
    62. Carol Alexander & Emese Lazar, 2009. "Modelling Regime‐Specific Stock Price Volatility," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(6), pages 761-797, December.
    63. Hartz, Christoph & Mittnik, Stefan & Paolella, Marc S., 2006. "Accurate Value-at-Risk forecast with the (good old) normal-GARCH model," CFS Working Paper Series 2006/23, Center for Financial Studies (CFS).
    64. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2017. "The contribution of jumps to forecasting the density of returns," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01442618, HAL.
    65. Paolella, Marc S. & Taschini, Luca, 2008. "An econometric analysis of emission allowance prices," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2022-2032, October.
    66. Harvey, Andrew & Sucarrat, Genaro, 2014. "EGARCH models with fat tails, skewness and leverage," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 320-338.
    67. Comte, Fabienne & Kappus, Johanna, 2015. "Density deconvolution from repeated measurements without symmetry assumption on the errors," Journal of Multivariate Analysis, Elsevier, vol. 140(C), pages 31-46.
    68. Christophe Chorro & Dominique Guegan & Florian Ielpo & Hanjarivo Lalaharison, 2017. "Testing for Leverage Effects in the Returns of US Equities," Post-Print halshs-00973922, HAL.
    69. Chevallier, Julien & Ielpo, Florian, 2017. "Investigating the leverage effect in commodity markets with a recursive estimation approach," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 763-778.
    70. Christophe Chorro & Dominique Guegan & Florian Ielpo & Hanjarivo Lalaharison, 2014. "Testing for Leverage Effect in Financial Returns," Documents de travail du Centre d'Economie de la Sorbonne 14022, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    71. León, Ángel & Ñíguez, Trino-Manuel, 2021. "The transformed Gram Charlier distribution: Parametric properties and financial risk applications," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 323-349.
    72. Chen, Zhenlong & Liu, Junjie & Hao, Xiaozhen, 2024. "Can asymmetry, long memory, and current return information improve crude oil volatility prediction? ——Evidence from ASHARV-MIDAS model," Finance Research Letters, Elsevier, vol. 64(C).
    73. Pertaia Giorgi & Uryasev Stan, 2019. "Fitting heavy-tailed mixture models with CVaR constraints," Dependence Modeling, De Gruyter, vol. 7(1), pages 365-374, January.
    74. Chung, Sang-Kuck, 2009. "Bivariate mixed normal GARCH models and out-of-sample hedge performances," Finance Research Letters, Elsevier, vol. 6(3), pages 130-137, September.
    75. Christophe Chorro & Dominique Guegan & Florian Ielpo, 2012. "Option Pricing for GARCH-type Models with Generalized Hyperbolic Innovations," Post-Print hal-00511965, HAL.

  40. Carol Alexander & Anca Dimitriu, 2005. "Indexing, cointegration and equity market regimes," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 10(3), pages 213-231.

    Cited by:

    1. Alexander, Carol & Kaeck, Andreas, 2008. "Regime dependent determinants of credit default swap spreads," Journal of Banking & Finance, Elsevier, vol. 32(6), pages 1008-1021, June.
    2. Selim Aren & Lutfihak Alpkan & Bulent Sezen & Ziya Alper Guncu, 2011. "Drivers of firms’ debt ratios: evidence from Taiwanese and Turkish firms," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 13(1), pages 53-70, May.
    3. Nafeesa Yunus, 2019. "Dynamic Linkages Among U.S. Real Estate Sectors Before and After the Housing Crisis," The Journal of Real Estate Finance and Economics, Springer, vol. 58(2), pages 264-289, February.
    4. Renato Bruni & Francesco Cesarone & Andrea Scozzari & Fabio Tardella, 2012. "A new stochastic dominance approach to enhanced index tracking problems," Economics Bulletin, AccessEcon, vol. 32(4), pages 3460-3470.
    5. Hurvich, Cliiford & Wang, Yi, 2006. "A Pure-Jump Transaction-Level Price Model Yielding Cointegration, Leverage, and Nonsynchronous Trading Effects," MPRA Paper 1413, University Library of Munich, Germany.
    6. H. Kent Baker & Satish Kumar & Kirti Goyal & Prashant Gupta, 2023. "International journal of finance and economics: A bibliometric overview," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 9-46, January.
    7. Ravi Kashyap, 2019. "Concepts, Components and Collections of Trading Strategies and Market Color," Papers 1910.02144, arXiv.org, revised Jan 2020.
    8. Jason Z. Ma & Xiang Deng & Kung-Cheng Ho & Sang-Bing Tsai, 2018. "Regime-Switching Determinants for Spreads of Emerging Markets Sovereign Credit Default Swaps," Sustainability, MDPI, vol. 10(8), pages 1-17, August.
    9. Georgios Bampinas & Theodore Panagiotidis, 2016. "Hedging Inflation with Individual US stocks: A long-run portfolio analysis," Working Paper series 16-11, Rimini Centre for Economic Analysis.
    10. Renato Bruni & Francesco Cesarone & Andrea Scozzari & Fabio Tardella, 2013. "No arbitrage and a linear portfolio selection model," Economics Bulletin, AccessEcon, vol. 33(2), pages 1247-1258.
    11. Oscar V. De la Torre-Torres & Rodolfo A. López-Torres & María de la Cruz del Río-Rama & José Álvarez-García, 2025. "Mexican White Corn Spot Price Hedging with US Agricultural Futures Portfolios Using the Surplus Efficient Frontier," Agriculture, MDPI, vol. 15(17), pages 1-28, August.
    12. Klaus Grobys, 2011. "Are Different National Stock Markets Driven by the Same Stochastic Hidden Variable?," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 3(1), pages 021-030, June.
    13. Ma, Jason Z. & Deng, Xiang & Ho, Kung-Cheng & Tsai, Sang-Bing, 2018. "Regime-switching determinants of emerging markets sovereign credit risk swaps spread," Economics Discussion Papers 2018-52, Kiel Institute for the World Economy (IfW Kiel).
    14. Focardi, Sergio M. & Fabozzi, Frank J. & Mitov, Ivan K., 2016. "A new approach to statistical arbitrage: Strategies based on dynamic factor models of prices and their performance," Journal of Banking & Finance, Elsevier, vol. 65(C), pages 134-155.
    15. Carol Alexander & Andreas Kaeck, 2006. "Regimes in CDS Spreads: A Markov Switching Model of iTraxx Europe Indices," ICMA Centre Discussion Papers in Finance icma-dp2006-08, Henley Business School, University of Reading.
    16. Nafeesa Yunus, 2023. "Co‐movement among oil, stock, bond, and housing markets: An analysis of U.S., Asian, and European economies," International Review of Finance, International Review of Finance Ltd., vol. 23(2), pages 393-436, June.
    17. Klaus Grobys, 2010. "Correlation versus Cointegration: Do Cointegration based - Index-Tracking Portfolios perform better? Evidence from the Swedish Stock-Market," Zeitschrift für Nachwuchswissenschaftler - German Journal for Young Researchers, Zeitschrift für Nachwuchswissenschaftler - German Journal for Young Researchers, vol. 2(1), pages 72-78, May.
    18. Klaus Grobys, 2012. "Active PortofolioManagement in the Presence of Regime Switching: What Are the Benefits of Defensive Asset Allocation Strategies If the Investor Faces Bear Markets?," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 4(1), pages 015-031, June.
    19. Oscar V. De la Torre-Torres & María de la Cruz del Río-Rama & Álvarez-García José, 2024. "Non-Commodity Agricultural Price Hedging with Minimum Tracking Error Portfolios: The Case of Mexican Hass Avocado," Agriculture, MDPI, vol. 14(10), pages 1-28, September.
    20. João Frois Caldeira & Gulherme Valle Moura, 2013. "Selection of a Portfolio of Pairs Based on Cointegration: A Statistical Arbitrage Strategy," Brazilian Review of Finance, Brazilian Society of Finance, vol. 11(1), pages 49-80.
    21. Monica Billio & Mila Getmansky & Loriana Pelizzon, 2006. "Phase-Locking and Switching Volatility in Hedge Funds," Working Papers 2006_54, Department of Economics, University of Venice "Ca' Foscari".
    22. Sant’Anna, Leonardo R. & Filomena, Tiago P. & Caldeira, João F., 2017. "Index tracking and enhanced indexing using cointegration and correlation with endogenous portfolio selection," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 146-157.
    23. Nafeesa Yunus, 2013. "Dynamic interactions among property types," Journal of Property Investment & Finance, Emerald Group Publishing Limited, vol. 31(2), pages 135-159, March.
    24. Carol Alexander & Anca Dimitriu, 2005. "Detecting Switching Strategies in Equity Hedge Funds," ICMA Centre Discussion Papers in Finance icma-dp2005-07, Henley Business School, University of Reading.
    25. Szabolcs Blazsek & Anna Downarowicz, 2008. "Regime switching models of hedge fund returns," Faculty Working Papers 12/08, School of Economics and Business Administration, University of Navarra.
    26. Yunus, Nafeesa, 2023. "Long-run and short-run impact of the U.S. economy on stock, bond and housing markets: An evaluation of U.S. and six major economies," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 211-232.
    27. Yunus, Nafeesa, 2020. "Time-varying linkages among gold, stocks, bonds and real estate," The Quarterly Review of Economics and Finance, Elsevier, vol. 77(C), pages 165-185.
    28. Canakgoz, N.A. & Beasley, J.E., 2009. "Mixed-integer programming approaches for index tracking and enhanced indexation," European Journal of Operational Research, Elsevier, vol. 196(1), pages 384-399, July.

  41. Carol Alexander, 2005. "The Present and Future of Financial Risk Management," Journal of Financial Econometrics, Oxford University Press, vol. 3(1), pages 3-25.

    Cited by:

    1. Imola Drigă, 2012. "Financial Risks Analysis For A Commercial Bank In The Romanian Banking System," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 1(14), pages 1-14.
    2. Ahmad Raza Bilal & Noraini Bt. Abu Talib & Mohd Noor Azli Ali Khan, 2013. "Remodeling of risk management in banking: evidence from the sub-continent and gulf," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 14(5), pages 468-489, November.
    3. Anastassios A. Drakos & Georgios P. Kouretas & Leonidas P. Zarangas, 2010. "Forecasting financial volatility of the Athens stock exchange daily returns: an application of the asymmetric normal mixture GARCH model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 331-350.
    4. Ravi Kashyap, 2023. "DeFi Security: Turning The Weakest Link Into The Strongest Attraction," Papers 2312.00033, arXiv.org.
    5. Sibbertsen, Philipp & Stahl, Gerhard & Luedtke, Corinna, 2008. "Measuring Model Risk," Hannover Economic Papers (HEP) dp-409, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    6. Nico Herrig, 2025. "Risk forecasting using Long Short-Term Memory Mixture Density Networks," Papers 2501.01278, arXiv.org.
    7. Małgorzata Tarczynska-Luniewska & Iwona Bak & Uma Shankar Singh & Guru Ashish Singh, 2022. "Economic Crisis Impact Assessment and Risk Exposure Evaluation of Selected Energy Sector Companies from Bombay Stock Exchange," Energies, MDPI, vol. 15(22), pages 1-25, November.
    8. Lee, Chien-Chiang & Chiu, Yi-Bin, 2016. "Globalization and insurance activity: Evidence on the industrial and emerging countries," The North American Journal of Economics and Finance, Elsevier, vol. 36(C), pages 328-349.
    9. Diamandis, Panayiotis F. & Drakos, Anastassios A. & Kouretas, Georgios P. & Zarangas, Leonidas, 2011. "Value-at-risk for long and short trading positions: Evidence from developed and emerging equity markets," International Review of Financial Analysis, Elsevier, vol. 20(3), pages 165-176, June.
    10. George Kouretas & Leonidas Zarangas, 2005. "Conditional autoregressive valu at risk by regression quantile: Estimatingmarket risk for major stock markets," Working Papers 0521, University of Crete, Department of Economics.
    11. Schlegel, Friederike & Hakenes, Hendrik, 2013. "Model Risk - an Agency Theoretic Approach," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79954, Verein für Socialpolitik / German Economic Association.
    12. Puustelli, Anne & Koskinen, Lasse & Luoma, Arto, 2008. "Bayesian modelling of financial guarantee insurance," Insurance: Mathematics and Economics, Elsevier, vol. 43(2), pages 245-254, October.
    13. Hayette Gatfaoui, 2010. "Deviation from normality and Sharpe ratio behavior: a brief simulation study," Post-Print hal-00568613, HAL.
    14. Ravi Kashyap, 2024. "The Concentration Risk Indicator: Raising the Bar for Financial Stability and Portfolio Performance Measurement," Papers 2408.07271, arXiv.org.
    15. Minshuo Chen & Renyuan Xu & Yumin Xu & Ruixun Zhang, 2025. "Diffusion Factor Models: Generating High-Dimensional Returns with Factor Structure," Papers 2504.06566, arXiv.org, revised Jul 2025.

  42. Carol Alexander & Andrew Scourse, 2004. "Bivariate normal mixture spread option valuation," Quantitative Finance, Taylor & Francis Journals, vol. 4(6), pages 637-648.
    See citations under working paper version above.
  43. Alexander, Carol, 2004. "Normal mixture diffusion with uncertain volatility: Modelling short- and long-term smile effects," Journal of Banking & Finance, Elsevier, vol. 28(12), pages 2957-2980, December.

    Cited by:

    1. Masakazu Miura & Kenichiro Tamaki & Takayuki Shiohama, 2013. "Asymptotic Expansion for Term Structures of Defaultable Bonds with Non-Gaussian Dependent Innovations," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 20(4), pages 311-344, November.
    2. Eugenia Sanin, María & Violante, Francesco & Mansanet-Bataller, María, 2015. "Understanding volatility dynamics in the EU-ETS market," Energy Policy, Elsevier, vol. 82(C), pages 321-331.
    3. 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.
    4. Rania Hentati & Jean-Luc Prigent, 2011. "On the maximization of financial performance measures within mixture models," Post-Print hal-00608960, HAL.
    5. Carol Alexander & Andrew Scourse, 2004. "Bivariate normal mixture spread option valuation," Quantitative Finance, Taylor & Francis Journals, vol. 4(6), pages 637-648.
    6. Rania Hentati & Jean-Luc Prigent, 2016. "Optimal positioning in financial derivatives under mixture distributions," Post-Print hal-01299840, HAL.
    7. Natasha Latif & Shafqat Ali Shad & Muhammad Usman & Chandan Kumar & Bahman B Motii & MD Mahfuzer Rahman & Khuram Shafi & Zahra Idrees, 2023. "Pragmatic Comparison Analysis of Alternative Option Pricing Models," Papers 2309.09890, arXiv.org.
    8. Armstrong, John & Brigo, Damiano, 2022. "Coherent risk measures alone are ineffective in constraining portfolio losses," Journal of Banking & Finance, Elsevier, vol. 140(C).
    9. Osazee Godwin Omorokunwa & Nosakhare Ikponmwosa, 2014. "Macroeconomic variables and stock price volatility in Nigeria," Annals of the University of Petrosani, Economics, University of Petrosani, Romania, vol. 14(1), pages 259-268.
    10. Donald Aingworth & Sanjiv Das & Rajeev Motwani, 2006. "A simple approach for pricing equity options with Markov switching state variables," Quantitative Finance, Taylor & Francis Journals, vol. 6(2), pages 95-105.
    11. Dinghai Xu, 2009. "The Applications of Mixtures of Normal Distributions in Empirical Finance: A Selected Survey," Working Papers 0904, University of Waterloo, Department of Economics, revised Sep 2009.
    12. Carol Alexandra & Emese Lazar, 2004. "Normal Mixture GARCH (1,1): Application to Exchange Rate Modelling," ICMA Centre Discussion Papers in Finance icma-dp2004-05, Henley Business School, University of Reading.
    13. Jiro Hodoshima & Toshiyuki Yamawake, 2020. "The Aumann–Serrano Performance Index for Multi-Period Gambles in Stock Data," JRFM, MDPI, vol. 13(11), pages 1-18, November.
    14. Hodoshima, Jiro & Misawa, Tetsuya & Miyahara, Yoshio, 2018. "Comparison of utility indifference pricing and mean-variance approach under normal mixture," Finance Research Letters, Elsevier, vol. 24(C), pages 221-229.
    15. Carol Alexander & Leonardo M. Nogueira, 2004. "Hedging with Stochastic and Local Volatility," ICMA Centre Discussion Papers in Finance icma-dp2004-10, Henley Business School, University of Reading, revised Dec 2004.
    16. Rania Hentati-Kaffel & Jean-Luc Prigent, 2014. "Portfolio Optimization within Mixture of Distributions," Working Papers hal-01066105, HAL.
    17. En-Der Su & Feng-Jeng Lin, 2012. "Two-State Volatility Transition Pricing and Hedging of TXO Options," Computational Economics, Springer;Society for Computational Economics, vol. 39(3), pages 259-287, March.
    18. Xin Liu, 2016. "Asset Pricing with Random Volatility," Papers 1610.01450, arXiv.org, revised Sep 2018.
    19. Pål Nicolai Henriksen, 2011. "Pricing barrier options by a regime switching model," Quantitative Finance, Taylor & Francis Journals, vol. 11(8), pages 1221-1231.
    20. Hodoshima, Jiro & Yamawake, Toshiyuki, 2019. "Comparison of utility indifference pricing and mean-variance approach under a normal mixture distribution with time-varying volatility," Finance Research Letters, Elsevier, vol. 28(C), pages 74-81.
    21. Massimo Guidolin, 2013. "Markov switching models in asset pricing research," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 1, pages 3-44, Edward Elgar Publishing.
    22. Date, Paresh & Islyaev, Suren, 2015. "A fast calibrating volatility model for option pricing," European Journal of Operational Research, Elsevier, vol. 243(2), pages 599-606.
    23. Jiro Hodoshima & Toshiyuki Yamawake, 2022. "Comparing Dynamic and Static Performance Indexes in the Stock Market: Evidence From Japan," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(2), pages 171-193, June.
    24. Douglas Cumming & Lars Helge Haß & Denis Schweizer, 2014. "Strategic Asset Allocation and the Role of Alternative Investments," European Financial Management, European Financial Management Association, vol. 20(3), pages 521-547, June.

  44. Carol Alexander & Anca Dimitriu, 2004. "Equity indexing: Optimize your passive investments," Quantitative Finance, Taylor & Francis Journals, vol. 4(3), pages 30-33.

    Cited by:

    1. Georgios Bampinas & Theodore Panagiotidis, 2016. "Hedging Inflation with Individual US stocks: A long-run portfolio analysis," Working Paper series 16-11, Rimini Centre for Economic Analysis.
    2. Doering, Jana & Kizys, Renatas & Juan, Angel A. & Fitó, Àngels & Polat, Onur, 2019. "Metaheuristics for rich portfolio optimisation and risk management: Current state and future trends," Operations Research Perspectives, Elsevier, vol. 6(C).
    3. Mikica Drenovak & Branko Urošević & Ranko Jelic, 2014. "European Bond ETFs: Tracking Errors and the Sovereign Debt Crisis," European Financial Management, European Financial Management Association, vol. 20(5), pages 958-994, November.

  45. Carol Alexander, 2002. "Principal Component Models for Generating Large GARCH Covariance Matrices," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 31(2), pages 337-359, July.

    Cited by:

    1. Kearney, Colm & Muckley, Cal, 2008. "Can the traditional Asian US dollar peg exchange rate regime be extended to include the Japanese yen?," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 870-885, December.
    2. Carlos Trucíos & Mauricio Zevallos & Luiz K. Hotta & André A. P. Santos, 2019. "Covariance Prediction in Large Portfolio Allocation," Econometrics, MDPI, vol. 7(2), pages 1-24, May.
    3. Kuper, Gerard H. & Lestano, 2006. "Dynamic conditional correlation analysis of financial market interdependence: An application to Thailand and Indonesia," CCSO Working Papers 200602, University of Groningen, CCSO Centre for Economic Research.
    4. Tu, Anthony H. & Chen, Cathy Yi-Hsuan, 2018. "A factor-based approach of bond portfolio value-at-risk: The informational roles of macroeconomic and financial stress factors," Journal of Empirical Finance, Elsevier, vol. 45(C), pages 243-268.
    5. Nuno Cassola & Claudio Morana, 2010. "The 2007-? financial crisis: a euro area money market perspective," ICER Working Papers - Applied Mathematics Series 35-2010, ICER - International Centre for Economic Research.
    6. Oleg Kritski & Marina Ulyanova, 2007. "Assessment of Multivariate Financial Risks of a Stock Share Portfolio," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 8(4), pages 3-17.
    7. Aggarwal, Raj & Muckley, Cal B., 2010. "Assessing co-ordinated Asian exchange rate regimes: Proposal for a possible move towards a common currency," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(2), pages 149-165, April.
    8. Haas, Markus & Mittnik, Stefan & Paolella, Marc S., 2006. "Multivariate normal mixture GARCH," CFS Working Paper Series 2006/09, Center for Financial Studies (CFS).
    9. Bredin, Don & Hyde, Stuart, 2002. "Forex Risk: Measurement and Evaluation using Value-at-Risk," Research Technical Papers 6/RT/02, Central Bank of Ireland.
    10. Yip, Iris W.H. & So, Mike K.P., 2009. "Simplified specifications of a multivariate generalized autoregressive conditional heteroscedasticity model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(2), pages 327-340.
    11. Haas, Markus & Mittnik, Stefan & Paolella, Marc S., 2008. "Asymmetric multivariate normal mixture GARCH," CFS Working Paper Series 2008/07, Center for Financial Studies (CFS).
    12. Claudio Morana, 2010. "Heteroskedastic Factor Vector Autoregressive Estimation of Persistent and Non Persistent Processes Subject to Structural Breaks," ICER Working Papers - Applied Mathematics Series 36-2010, ICER - International Centre for Economic Research.
    13. Aramonte, Sirio & Giudice Rodriguez, Marius del & Wu, Jason, 2013. "Dynamic factor Value-at-Risk for large heteroskedastic portfolios," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4299-4309.
    14. Esparcia, Carlos & Díaz, Antonio, 2024. "The football world upside down: Traditional equities as an alternative for the new fan tokens? A portfolio optimization study," Research in International Business and Finance, Elsevier, vol. 71(C).
    15. Hüttner, Amelie & Scherer, Matthias & Gräler, Benedikt, 2020. "Geostatistical modeling of dependent credit spreads: Estimation of large covariance matrices and imputation of missing data," Journal of Banking & Finance, Elsevier, vol. 118(C).
    16. Samir B. MALIKI & Kamel Si MOHAMMED, 2018. "Dynamic Correlation between Oil Price and the Stock Markets: Evidence from some Developed and Emerging Countries," European Journal of Studies in Management and Business, EUROKD, vol. 6, pages 39-49.
    17. Luc Bauwens & Christian M. Hafner & Diane Pierret, 2013. "Multivariate Volatility Modeling Of Electricity Futures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(5), pages 743-761, August.
    18. Claudio Morana, 2014. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks," Working Papers 273, University of Milano-Bicocca, Department of Economics, revised May 2014.
    19. Ding, Shusheng & Cui, Tianxiang & Wu, Xiangling & Du, Min, 2022. "Supply chain management based on volatility clustering: The effect of CBDC volatility," Research in International Business and Finance, Elsevier, vol. 62(C).
    20. Walid Abass Mohammed, 2021. "Volatility Spillovers among Developed and Developing Countries: The Global Foreign Exchange Markets," JRFM, MDPI, vol. 14(6), pages 1-30, June.
    21. Claudio, Morana, 2018. "Regularized semiparametric estimation of high dimensional dynamic conditional covariance matrices," Working Papers 382, University of Milano-Bicocca, Department of Economics, revised 04 Jun 2018.
    22. Shimada, Junji & Tsukuda, Yoshihiko & Miyakoshi, Tatsuyoshi, 2021. "Who is the center of local currency Asian government bond markets?," Japan and the World Economy, Elsevier, vol. 59(C).
    23. PIERRET, Diane, 2013. "The systemic risk of energy markets," LIDAM Discussion Papers CORE 2013018, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    24. Martin Vojtek, 2004. "Calibration of Interest Rate Models - Transition Market Case," CERGE-EI Working Papers wp237, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    25. Eterovic, Nicolas A. & Eterovic, Dalibor S., 2013. "Separating the wheat from the chaff: Understanding portfolio returns in an emerging market," Emerging Markets Review, Elsevier, vol. 16(C), pages 145-169.
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    1. Carol Alexander & Michael Barrow, 1994. "Seasonality and Cointegration of Regional House Prices in the UK," Urban Studies, Urban Studies Journal Limited, vol. 31(10), pages 1667-1689, December.
    2. Lo Cascio, Iolanda, 2021. "A wavelet analysis of the ripple effect in UK regional housing markets," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 1093-1105.
    3. Tang, Chor Foon, 2010. "A note on the nonlinear wages-productivity nexus for Malaysia," MPRA Paper 24355, University Library of Munich, Germany.
    4. Goh, Soo Khoon, 2009. "Is Productivity Linked To Wages? An Empirical Investigation in Malaysia," MPRA Paper 18095, University Library of Munich, Germany.
    5. Olfa Frini & Khoutem Ben Jedidia, 2018. "The age structure change of population and labour productivity impact," Economics Bulletin, AccessEcon, vol. 38(4), pages 1831-1844.
    6. Chaido Dritsaki, 2016. "Real wages, inflation, and labor productivity: Evidences from Bulgaria and Romania," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 4(5), pages 24-36, October.
    7. Jeremy Wakeford, 2004. "Productivity, Wages and Employment in South Africa’s Manufacturing Sector, 1970-2002," Working Papers 04085, University of Cape Town, Development Policy Research Unit.
    8. HacerSimay Karaalp-Orhan, 2017. "Labour Productivity, Real Wages And Unemployment: An Application Of Bounds Test Approach For Turkey," Journal of Economic and Social Development, Clinical Journals Press, vol. 4(02), pages 01-12.
    9. Chor Foon Tang, 2012. "The non‐monotonic effect of real wages on labour productivity," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 39(6), pages 391-399, May.
    10. Melike Bildirici & Elçin Aykaç Alp, 2012. "Minimum wage is efficient wage in Turkish labor market: TAR–cointegration analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(4), pages 1261-1270, June.
    11. Hernán Enríquez Sierra & Jacobo Campo Robledo & Antonio Avenda�o Arosemena, 2015. "Relaciones regionales en los precios de vivienda nueva en Colombia," Revista Ecos de Economía, Universidad EAFIT, vol. 19(40), pages 25-47.
    12. Saten Kumar & Don J. Webber & Geoff Perry, 2012. "Real wages, inflation and labour productivity in Australia," Applied Economics, Taylor & Francis Journals, vol. 44(23), pages 2945-2954, August.
    13. José Abraham López Machuca & Jorge Eduardo Mendoza Cota, 2017. "Salarios, desempleo y productividad laboral en la industria manufacturera mexicana. (Wage, Unemployment and Labor Productivity in the Mexican Manufacturing Industry)," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 185-228, October.
    14. Cabral Torres, René & González Mata, Enrique A. & López Cabrera, Jesús Antonio, 2022. "Relación entre productividad laboral y remuneraciones: un análisis de proximidad espacial a nivel estatal en la industria manufacturera en México, 2004, 2009, 2014 y 2019," Estudios y Perspectivas – Sede Subregional de la CEPAL en México 47894, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    15. Nurliyana Mohd Basri & Zulkefly Abdul Karim & Noorasiah Sulaiman, 2020. "The Effects of Factors of Production Shocks on Labor Productivity: New Evidence Using Panel VAR Analysis," Sustainability, MDPI, vol. 12(20), pages 1-23, October.

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    1. Manamba Epaphra & Khatibu Kazungu, 2021. "Efficiency of Tanzania's foreign exchange market," African Development Review, African Development Bank, vol. 33(2), pages 368-381, June.
    2. Ram Bhar, 1994. "Modelling Yen Futures Return Using Daily Data From IMM and Simex," Working Paper Series 39, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    3. Charles Engel, 1995. "The Forward Discount Anomaly and the Risk Premium: A Survey of Recent Evidence," NBER Working Papers 5312, National Bureau of Economic Research, Inc.
    4. Engel, Charles, 1996. "A note on cointegration and international capital market efficiency," Journal of International Money and Finance, Elsevier, vol. 15(4), pages 657-660, August.
    5. John T. Barkoulas & Christopher F. Baum & Atreya Chakraborty, 2000. "Forward Premiums and Market Efficiency: Panel Unit-root Evidence from the Term Structure of Forward Premiums," Boston College Working Papers in Economics 461, Boston College Department of Economics, revised 13 Jun 2001.
    6. Duan, Jin-Chuan & Pliska, Stanley R., 2004. "Option valuation with co-integrated asset prices," Journal of Economic Dynamics and Control, Elsevier, vol. 28(4), pages 727-754, January.
    7. Kühl, Michael, 2010. "Bivariate cointegration of major exchange rates, cross-market efficiency and the introduction of the Euro," Journal of Economics and Business, Elsevier, vol. 62(1), pages 1-19, January.
    8. Sarwar, Ghulam, 1997. "Efficiency of black markets in foreign currencies in Southeast Asia," Journal of Multinational Financial Management, Elsevier, vol. 7(4), pages 333-344, December.
    9. Carol Alexander & Ian Giblin & Wayne Weddington III, 2001. "Cointegration and Asset Allocation: A New Fund Strategy," ICMA Centre Discussion Papers in Finance icma-dp2001-03, Henley Business School, University of Reading.
    10. Shyh-Wei Chen, 2010. "Testing the hypothesis of market efficiency in the Taiwan-US forward exchange market since 1990," Applied Economics, Taylor & Francis Journals, vol. 42(1), pages 121-132.
    11. Palazzi, Rafael Baptista & Schich, Sebastian & de Genaro, Alan, 2025. "Stablecoins as anchors? Unraveling information flow dynamics between pegged and unpegged crypto-assets and fiat currencies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 99(C).
    12. Sequeira, John M., 1997. "Econometric modelling of long-run relationships in the Singapore currency futures market," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 43(3), pages 421-427.
    13. Montserrat Ferre & Stephen Hall, 2002. "Foreign exchange market efficiency and cointegration," Applied Financial Economics, Taylor & Francis Journals, vol. 12(2), pages 131-139.
    14. Tse, Y. K. & Ng, L. K., 1997. "The cointegration of Asian currencies revisited," Japan and the World Economy, Elsevier, vol. 9(1), pages 109-114, March.

Chapters

  1. Carol Alexander, 2005. "Assessment of Operational Risk Capital," Springer Books, in: Michael Frenkel & Markus Rudolf & Ulrich Hommel (ed.), Risk Management, edition 0, pages 279-301, Springer.

    Cited by:

    1. Milan Stehlík & Rastislav Potocký & Helmut Waldl & Zdeněk Fabián, 2010. "On the favorable estimation for fitting heavy tailed data," Computational Statistics, Springer, vol. 25(3), pages 485-503, September.

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