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Raphael Nicholas Markellos

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. Andrikopoulos, Athanasios & Markellos, Raphael. N, 2012. "Dynamic interaction between markets for leasing and selling automobiles," MPRA Paper 45225, University Library of Munich, Germany.

    Cited by:

    1. Yan, Wei & Li, Youwei & Wu, Ying & Palmer, Mark, 2016. "A rising e-channel tide lifts all boats? The impact of manufacturer multi-channel encroachment on traditional selling and leasing," MPRA Paper 70747, University Library of Munich, Germany.
    2. Yang, Liuyong & Wang, Rui & Chen, Zhenyi & Luo, Xingguo, 2020. "What determines the issue price of lease asset-backed securities in China?," International Review of Financial Analysis, Elsevier, vol. 72(C).

  2. Daskalakis, George & Symeonidis, Lazaros & Markellos, Raphael, 2009. "Does the weather affect stock market volatility?," MPRA Paper 34128, University Library of Munich, Germany.

    Cited by:

    1. Christos Floros, 2011. "On the relationship between weather and stock market returns," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 28(1), pages 5-13, March.
    2. Nicholas Apergis & Alexandros Gabrielsen & Lee A. Smales, 2016. "(Unusual) weather and stock returns—I am not in the mood for mood: further evidence from international markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 30(1), pages 63-94, February.
    3. Hyein Shim & Maria H. Kim & Doojin Ryu, 2017. "Effects of intraday weather changes on asset returns and volatilities," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 35(2), pages 301-330.
    4. Saura, Jose Ramon & Ribeiro-Navarrete, Samuel & Palacios-Marqués, Daniel & Mardani, Abbas, 2023. "Impact of extreme weather in production economics: Extracting evidence from user-generated content," International Journal of Production Economics, Elsevier, vol. 260(C).
    5. Apergis, Nicholas & Gupta, Rangan, 2017. "Can (unusual) weather conditions in New York predict South African stock returns?," Research in International Business and Finance, Elsevier, vol. 41(C), pages 377-386.
    6. Mertzanis, Charilaos & Hamill, Philip A. & Pavlopoulos, Athanasios & Houcine, Asma, 2024. "Sustainable investment conditions and corporate cash holdings in the MENA region: Market preparedness and Shari'ah-compliant funds," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 1043-1063.
    7. Wu, Dan & Dai, Xingyu & Zhao, Ruikun & Cao, Yaru & Wang, Qunwei, 2023. "Pass-through from temperature intervals to China's commodity futures’ interval-valued returns: Evidence from the varying-coefficient ITS model," Finance Research Letters, Elsevier, vol. 58(PA).
    8. Liang, Chao & Xia, Zhenglan & Lai, Xiaodong & Wang, Lu, 2022. "Natural gas volatility prediction: Fresh evidence from extreme weather and extended GARCH-MIDAS-ES model," Energy Economics, Elsevier, vol. 116(C).
    9. Gori, Leonella & Teti, Emanuele & Loi, Andrea & Dallocchio, Maurizio, 2020. "Seasonal darkness and IPO," Journal of Economic Behavior & Organization, Elsevier, vol. 178(C), pages 494-508.
    10. Fan, Qingliang & Wang, Ting, 2018. "Game day effect on stock market: Evidence from four major sports leagues in US," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 9-18.
    11. Filiz, Ibrahim & Nahmer, Thomas & Spiwoks, Markus, 2019. "Herd behavior and mood: An experimental study on the forecasting of share prices," Journal of Behavioral and Experimental Finance, Elsevier, vol. 24(C).
    12. Mamatzakis, E, 2013. "Does weather affect US bank loan efficiency?," MPRA Paper 51616, University Library of Munich, Germany.
    13. Nils Muhlack & Christian Soost & Christian Johannes Henrich, 2022. "Does Weather Still Affect The Stock Market?," Schmalenbach Journal of Business Research, Springer, vol. 74(1), pages 1-35, March.
    14. Daglis, Theodoros & Konstantakis, Konstantinos N. & Michaelides, Panayotis G. & Papadakis, Theodoulos Eleftherios, 2020. "The forecasting ability of solar and space weather data on NASDAQ’s finance sector price index volatility," Research in International Business and Finance, Elsevier, vol. 52(C).
    15. Waldemar Tarczyński & Urszula Mentel & Grzegorz Mentel & Umer Shahzad, 2021. "The Influence of Investors’ Mood on the Stock Prices: Evidence from Energy Firms in Warsaw Stock Exchange, Poland," Energies, MDPI, vol. 14(21), pages 1-25, November.
    16. Sofiane Aboura & Julien Chevallier, 2012. "Leverage vs. Feedback: Which Effect Drives the Oil Market?," Working Papers halshs-00720156, HAL.
    17. Domonkos F. Vamossy, 2024. "Social Media Emotions and Market Behavior," Papers 2404.03792, arXiv.org.
    18. Nicholas Apergis & Rangan Gupta, 2016. "Can Weather Conditions in New York Predict South African Stock Returns?," Working Papers 201634, University of Pretoria, Department of Economics.
    19. Edimilson Costa Lucas & Wesley Mendes Da Silva & Gustavo Silva Araujo, 2017. "Does Extreme Rainfall Lead to Heavy Economic Losses in the Food Industry?," Working Papers Series 462, Central Bank of Brazil, Research Department.
    20. Juan Rincon-Patino & Emmanuel Lasso & Juan Carlos Corrales, 2018. "Estimating Avocado Sales Using Machine Learning Algorithms and Weather Data," Sustainability, MDPI, vol. 10(10), pages 1-12, September.
    21. Yu, Jize & Zhang, Li & Peng, Lijuan & Wu, Rui, 2023. "Which component of air quality index drives stock price volatility in China: a decomposition-based forecasting method," Finance Research Letters, Elsevier, vol. 51(C).
    22. Nicholas Apergis & Panagiotis Artikis, 2012. "Weather Conditions and the Bank Lending Channel: A GMM Approach from US Banking," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 3(2), pages 17-34, April.
    23. Mr. Dileep N & Dr. G. Kotreshwar, 2023. "Interrelationship between Rainfall Index and Nifty Index: An Empirical Study," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 95-106.
    24. Schulte-Huermann, Astrid, 2020. "Impact of Weather on the Stock Market Returns of Different Industries in Germany," Junior Management Science (JUMS), Junior Management Science e. V., vol. 5(3), pages 295-311.
    25. Domonkos F. Vamossy & Rolf Skog, 2021. "EmTract: Extracting Emotions from Social Media," Papers 2112.03868, arXiv.org, revised Jun 2023.
    26. Ting Yao & Yue‐Jun Zhang, 2024. "The impact of air pollution on crude oil futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(6), pages 1055-1068, June.
    27. Shan, Liwei & Gong, Stephen X., 2012. "Investor sentiment and stock returns: Wenchuan Earthquake," Finance Research Letters, Elsevier, vol. 9(1), pages 36-47.
    28. Chai Liang Huang & Lai Ferry Sugianto, 2024. "The scorching temperatures shock effect on firms’ performance: a global perspective," Review of Quantitative Finance and Accounting, Springer, vol. 62(4), pages 1651-1732, May.
    29. Yang, Chih-Yuan & Jhang, Ling-Jhen & Chang, Chia-Chien, 2016. "Do investor sentiment, weather and catastrophe effects improve hedging performance? Evidence from the Taiwan options market," Pacific-Basin Finance Journal, Elsevier, vol. 37(C), pages 35-51.
    30. Lucas, Edimilson Costa & Mendes-Da-Silva, Wesley, 2018. "Impact of climate on firm value: Evidence from the electric power industry in Brazil," Energy, Elsevier, vol. 153(C), pages 359-368.
    31. Chen, Zhonglu & Zhang, Li & Weng, Chen, 2023. "Does climate policy uncertainty affect Chinese stock market volatility?," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 369-381.
    32. Shanaev, Savva & Shuraeva, Arina & Fedorova, Svetlana, 2022. "The Groundhog Day stock market anomaly," Finance Research Letters, Elsevier, vol. 47(PA).
    33. Frühwirth, Manfred & Sögner, Leopold, 2015. "Weather and SAD related mood effects on the financial market," The Quarterly Review of Economics and Finance, Elsevier, vol. 57(C), pages 11-31.
    34. Hasan, Syed Akif & Subhani, Muhammad Imtiaz, 2011. "Which Matters the Most for the Trading Index? (Law and Order or Weather Conditions)," MPRA Paper 34736, University Library of Munich, Germany, revised 2011.
    35. Lu, Jing & Chou, Robin K., 2012. "Does the weather have impacts on returns and trading activities in order-driven stock markets? Evidence from China," Journal of Empirical Finance, Elsevier, vol. 19(1), pages 79-93.
    36. Chinnadurai Kathiravan & Murugesan Selvam & Sankaran Venkateswar & S. Balakrishnan, 2021. "Investor behavior and weather factors: evidences from Asian region," Annals of Operations Research, Springer, vol. 299(1), pages 349-373, April.
    37. Qadan, Mahmoud & Aharon, David Y., 2019. "How much happiness can we find in the U.S. fear Index?," Finance Research Letters, Elsevier, vol. 30(C), pages 246-258.

Articles

  1. Apostolos Kourtis & Raphael N. Markellos & Lazaros Symeonidis, 2016. "An International Comparison of Implied, Realized, and GARCH Volatility Forecasts," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(12), pages 1164-1193, December.

    Cited by:

    1. Xu Gong & Boqiang Lin, 2018. "Structural breaks and volatility forecasting in the copper futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 38(3), pages 290-339, March.
    2. Murad Samsudin, Najmi Ismail & Mohamad, Azhar & Sifat, Imtiaz Mohammad, 2021. "Implied volatility of structured warrants: Emerging market evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 464-479.
    3. Hollstein, Fabian & Wese Simen, Chardin, 2020. "Variance risk: A bird’s eye view," Journal of Econometrics, Elsevier, vol. 215(2), pages 517-535.
    4. Ruipeng Liu & Riza Demirer & Rangan Gupta & Mark E. Wohar, 2017. "Do Bivariate Multifractal Models Improve Volatility Forecasting in Financial Time Series? An Application to Foreign Exchange and Stock Markets," Working Papers 201728, University of Pretoria, Department of Economics.
    5. Murat Körs & Mehmet Baha Karan, 2023. "Stock exchange volatility forecasting under market stress with MIDAS regression," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 295-306, January.
    6. Trung H. Le & Apostolos Kourtis & Raphael Markellos, 2023. "Modeling skewness in portfolio choice," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(6), pages 734-770, June.
    7. Ji‐Eun Choi & Dong Wan Shin, 2022. "Parallel architecture of CNN‐bidirectional LSTMs for implied volatility forecast," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(6), pages 1087-1098, September.
    8. Deev, Oleg & Plíhal, Tomáš, 2022. "How to calm down the markets? The effects of COVID-19 economic policy responses on financial market uncertainty," Research in International Business and Finance, Elsevier, vol. 60(C).
    9. Oikonomou, Ioannis & Stancu, Andrei & Symeonidis, Lazaros & Wese Simen, Chardin, 2019. "The information content of short-term options," Journal of Financial Markets, Elsevier, vol. 46(C).
    10. Degiannakis, Stavros & Filis, George, 2022. "Oil price volatility forecasts: What do investors need to know?," Journal of International Money and Finance, Elsevier, vol. 123(C).
    11. Xu Gong & Boqiang Lin, 2022. "Predicting the volatility of crude oil futures: The roles of leverage effects and structural changes," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 610-640, January.
    12. Symitsi, Efthymia & Symeonidis, Lazaros & Kourtis, Apostolos & Markellos, Raphael, 2018. "Covariance forecasting in equity markets," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 153-168.
    13. Fassas, Athanasios P. & Siriopoulos, Costas, 2021. "Implied volatility indices – A review," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 303-329.
    14. Dimitrios I. Vortelinos & Konstantinos Gkillas, 2018. "Intraday realised volatility forecasting and announcements," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 9(1), pages 88-118.
    15. Qiao, Gaoxiu & Teng, Yuxin & Li, Weiping & Liu, Wenwen, 2019. "Improving volatility forecasting based on Chinese volatility index information: Evidence from CSI 300 index and futures markets," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 133-151.
    16. Ruipeng Liu & Riza Demirer & Rangan Gupta & Mark Wohar, 2020. "Volatility forecasting with bivariate multifractal models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 155-167, March.
    17. Dicle, Mehmet F. & Levendis, John, 2020. "Historic risk and implied volatility," Global Finance Journal, Elsevier, vol. 45(C).
    18. Han Lin Shang & Yang Yang & Fearghal Kearney, 2019. "Intraday forecasts of a volatility index: functional time series methods with dynamic updating," Annals of Operations Research, Springer, vol. 282(1), pages 331-354, November.
    19. Massimo Guidolin & Erwin Hansen & Gabriel Cabrera, 2023. "Time-Varying Risk Aversion and International Stock Returns," BAFFI CAREFIN Working Papers 23203, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    20. Xiaoxi Liu & Jinming Xie, 2023. "Forecasting swap rate volatility with information from swaptions," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(4), pages 455-479, April.
    21. Fabian Hollstein & Marcel Prokopczuk & Björn Tharann & Chardin Wese Simen, 2019. "Predicting the equity market with option-implied variables," The European Journal of Finance, Taylor & Francis Journals, vol. 25(10), pages 937-965, July.
    22. Slim, Skander & Dahmene, Meriam & Boughrara, Adel, 2020. "How informative are variance risk premium and implied volatility for Value-at-Risk prediction? International evidence," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 22-37.
    23. Avraham Turgeman & Claudiu Botoc & Marilen Pirtea & Octavian Jude, 0000. "Modelling Intraday Realized Volatility: The Role Of Vix, Oil And Gold," Proceedings of Economics and Finance Conferences 14115804, International Institute of Social and Economic Sciences.
    24. Prokopczuk, Marcel & Symeonidis, Lazaros & Wese Simen, Chardin, 2017. "Variance risk in commodity markets," Journal of Banking & Finance, Elsevier, vol. 81(C), pages 136-149.
    25. Fassas, Athanasios P. & Papadamou, Stephanos, 2018. "Variance risk premium and equity returns," Research in International Business and Finance, Elsevier, vol. 46(C), pages 462-470.
    26. Le, Trung H., 2020. "Forecasting value at risk and expected shortfall with mixed data sampling," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1362-1379.
    27. Plíhal, Tomáš & Lyócsa, Štefan, 2021. "Modeling realized volatility of the EUR/USD exchange rate: Does implied volatility really matter?," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 811-829.

  2. Markellos, Raphael N. & Psychoyios, Dimitris & Schneider, Friedrich, 2016. "Sovereign debt markets in light of the shadow economy," European Journal of Operational Research, Elsevier, vol. 252(1), pages 220-231.

    Cited by:

    1. Dimitrios Psychoyios & Olympia Missiou & Theologos Dergiades, 2019. "Energy based estimation of the Shadow Economy: The role of Governance Quality," Discussion Paper Series 2019_07, Department of Economics, University of Macedonia, revised Nov 2019.
    2. Patrycja Klusak & Matthew Agarwala & Matt Burke & Moritz Kraemer & Kamiar Mohaddes, 2021. "Rising temperatures, falling ratings: The effect of climate change on sovereign creditworthiness," CAMA Working Papers 2021-34, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. Dzhumashev, Ratbek & Levaggi, Rosella & Menoncin, Francesco, 2023. "Optimal tax enforcement with productive public inputs," Economic Modelling, Elsevier, vol. 126(C).
    4. Gamannossi degl’Innocenti, Duccio & Levaggi, Rosella & Menoncin, Francesco, 2022. "Tax avoidance and evasion in a dynamic setting," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 443-456.
    5. Massomeh Hajilee & Farhang Niroomand, 2018. "The impact of interest rate volatility on financial market inclusion: evidence from emerging markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 42(2), pages 352-368, April.
    6. Hajilee, Massomeh & Stringer, Donna Y. & Metghalchi, Massoud, 2017. "Financial market inclusion, shadow economy and economic growth: New evidence from emerging economies," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 149-158.
    7. Ahmet Sensoy & Duc Khuong Nguyen & Erk Hacihasanoglu & Ahmed Rostom, 2018. "Dynamic Integration and Network Structure of the EMU Sovereign Bond Markets," Working Papers 2018-009, Department of Research, Ipag Business School.
    8. Liu, Ailan & Wang, Zhixuan & Wang, Ping, 2024. "Official or unofficial? extreme bounds analysis on the determinants of sovereign default," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    9. Hajilee, Massomeh & Niroomand, Farhang, 2019. "On the link between financial market inclusion and trade openness: An asymmetric analysis," Economic Analysis and Policy, Elsevier, vol. 62(C), pages 373-381.

  3. Andrikopoulos, Athanasios & Markellos, Raphael N., 2015. "Dynamic interaction between markets for leasing and selling automobiles," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 260-270.
    See citations under working paper version above.
  4. George Daskalakis, Lazaros Symeonidis, Raphael N. Markellos, 2015. "Electricity futures prices in an emissions constrained economy: Evidence from European power markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).

    Cited by:

    1. Iván Blanco & Juan Ignacio Peña & Rosa Rodríguez, 2018. "Modelling Electricity Swaps with Stochastic Forward Premium Models," The Energy Journal, , vol. 39(2), pages 1-34, March.
    2. Li, Yan & Feng, Tian-tian & Liu, Li-li & Zhang, Meng-xi, 2023. "How do the electricity market and carbon market interact and achieve integrated development?--A bibliometric-based review," Energy, Elsevier, vol. 265(C).
    3. Iván Blanco, Juan Ignacio Peña, and Rosa Rodriguez, 2018. "Modelling Electricity Swaps with Stochastic Forward Premium Models," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    4. Do, Hung Xuan & Nepal, Rabindra & Pham, Son Duy & Jamasb, Tooraj, 2023. "Electricity Market Crisis in Europe and Cross Border Price Effects: A Quantile Return Connectedness Analysis," Working Papers 8-2023, Copenhagen Business School, Department of Economics.
    5. Daskalakis, George, 2018. "Temporal restrictions on emissions trading and the implications for the carbon futures market: Lessons from the EU emissions trading scheme," Energy Policy, Elsevier, vol. 115(C), pages 88-91.

  5. Eleftheria Kostika & Raphael N. Markellos, 2013. "Optimal Hedge Ratio Estimation and Effectiveness Using ARCD," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(1), pages 41-50, January.

    Cited by:

    1. Sylvia J. Soltyk & Felix Chan, 2023. "Modeling time‐varying higher‐order conditional moments: A survey," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 33-57, February.
    2. 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.
    3. Umar, Zaghum & Usman, Muhammad & Choi, Sun-Yong & Rice, John, 2023. "Diversification benefits of NFTs for conventional asset investors: Evidence from CoVaR with higher moments and optimal hedge ratios," Research in International Business and Finance, Elsevier, vol. 65(C).
    4. Trung H. Le & Apostolos Kourtis & Raphael Markellos, 2023. "Modeling skewness in portfolio choice," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(6), pages 734-770, June.
    5. Trung H. Le, 2024. "Forecasting VaR and ES in emerging markets: The role of time‐varying higher moments," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 402-414, March.

  6. Kourtis, Apostolos & Markellos, Raphael N. & Psychoyios, Dimitris, 2012. "Wine price risk management: International diversification and derivative instruments," International Review of Financial Analysis, Elsevier, vol. 22(C), pages 30-37.

    Cited by:

    1. Eric Fur, 2023. "Risk and return of classic car market prices: passion or financial investment?," Journal of Asset Management, Palgrave Macmillan, vol. 24(1), pages 59-68, February.
    2. Nikolaos Antonakakis & Mehmet Balcilar & Elie Bouri & Rangan Gupta, 2017. "Is Wine a Safe-Haven? Evidence from a Nonparametric Causality-in-Quantiles Test," Working Papers 201708, University of Pretoria, Department of Economics.
    3. Czupryna Marcin & Oleksy Paweł, 2018. "The Effect of an Electronic Exchange on Prices and Return Volatility in the Fine Wine Market," Financial Internet Quarterly (formerly e-Finanse), Sciendo, vol. 14(4), pages 22-35, December.
    4. Masset, Philippe & Weisskopf, Jean-Philippe & Cardebat, Jean-Marie & Faye, Benoît & Le Fur, Eric, 2021. "Analyzing the risks of an illiquid and global asset: The case of fine wine," The Quarterly Review of Economics and Finance, Elsevier, vol. 82(C), pages 1-25.
    5. B. Faye & E. Le Fur & S. Prat, 2015. "Dynamics of fine wine and asset prices: evidence from short- and long-run co-movements," Applied Economics, Taylor & Francis Journals, vol. 47(29), pages 3059-3077, June.
    6. Dimson, Elroy & Rousseau, Peter L. & Spaenjers, Christophe, 2013. "The Price of Wine," HEC Research Papers Series 1019, HEC Paris.
    7. Dobrynskaya, Victoria & Kishilova, Julia, 2022. "Lego: The Toy Of Smart Investors," Research in International Business and Finance, Elsevier, vol. 59(C).
    8. Ben Ameur, Hachmi & Le Fur, Eric, 2020. "Volatility transmission to the fine wine market," Economic Modelling, Elsevier, vol. 85(C), pages 307-316.
    9. Cardebat, Jean-Marie & Jiao, Linda, 2018. "The long-term financial drivers of fine wine prices: The role of emerging markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 347-361.
    10. Wugan Cai & Jiafeng Pan, 2017. "Stochastic Differential Equation Models for the Price of European CO 2 Emissions Allowances," Sustainability, MDPI, vol. 9(2), pages 1-12, February.
    11. Aytaç, Beysül & Hoang, Thi-Hong-Van & Mandou, Cyrille, 2016. "Wine: To drink or invest in? A study of wine as an investment asset in French portfolios," Research in International Business and Finance, Elsevier, vol. 36(C), pages 591-614.
    12. Fur, Eric Le, 2021. "Fine Wines in a Diversified Portfolio of Collectibles," 2021 Conference, August 17-31, 2021, Virtual 315852, International Association of Agricultural Economists.
    13. Onur, Ilke & Bruwer, Johan & Lockshin, Larry, 2020. "Reducing information asymmetry in the auctioning of non-perishable experience goods: The case of online wine auctions," Journal of Retailing and Consumer Services, Elsevier, vol. 54(C).
    14. Hachmi Ben Ameur & Eric Le Fur & Julien Pillot, 2023. "The Influence of Economic Policy Uncertainty and Business Cycles on Fine Wine Prices," Computational Economics, Springer;Society for Computational Economics, vol. 62(2), pages 589-608, August.
    15. Masset, Philippe & Weisskopf, Jean-Philippe & Faye, Benoît & Le Fur, Eric, 2016. "Red obsession: The ascent of fine wine in China," Emerging Markets Review, Elsevier, vol. 29(C), pages 200-225.
    16. Bargain, Olivier & Cardebat, Jean-Marie & Vignolles, Alexandra, 2016. "Crowdfunding in Wine," Working Papers 234638, American Association of Wine Economists.
    17. Bouri, Elie & Gupta, Rangan & Wong, Wing-Keung & Zhu, Zhenzhen, 2018. "Is wine a good choice for investment?," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 171-183.
    18. Samitas, Aristeidis & Papathanasiou, Spyros & Koutsokostas, Drosos & Kampouris, Elias, 2022. "Volatility spillovers between fine wine and major global markets during COVID-19: A portfolio hedging strategy for investors," International Review of Economics & Finance, Elsevier, vol. 78(C), pages 629-642.
    19. Eric Le Fur & Jean-François Outreville, 2019. "Fine wine returns: a review of the literature," Journal of Asset Management, Palgrave Macmillan, vol. 20(3), pages 196-214, May.
    20. Hachmi Ben Ameur & Zied Ftiti & Eric Le Fur, 2024. "What can we learn from the analysis of the fine wines market efficiency?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 703-718, January.

  7. Vlastakis, Nikolaos & Markellos, Raphael N., 2012. "Information demand and stock market volatility," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1808-1821.

    Cited by:

    1. Yanpeng Chen & Wenjun Mai, 2024. "Investor attention and environmental performance of Chinese high-tech companies: the moderating effects of media attention and coverage sentiment," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-16, December.
    2. Falik Shear & Badar Nadeem Ashraf & Mohsin Sadaqat, 2020. "Are Investors’ Attention and Uncertainty Aversion the Risk Factors for Stock Markets? International Evidence from the COVID-19 Crisis," Risks, MDPI, vol. 9(1), pages 1-15, December.
    3. Marmora, Paul, 2022. "Does monetary policy fuel bitcoin demand? Event-study evidence from emerging markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    4. Tihana Škrinjarić, 2019. "Time Varying Spillovers between the Online Search Volume and Stock Returns: Case of CESEE Markets," IJFS, MDPI, vol. 7(4), pages 1-30, October.
    5. Francesco Capozza & Ingar Haaland & Christopher Roth & Johannes Wohlfart, 2021. "Studying Information Acquisition in the Field: A Practical Guide and Review," ECONtribute Discussion Papers Series 124, University of Bonn and University of Cologne, Germany.
    6. Chen Gu & Ann Marie Hibbert, 2021. "Expectations and financial markets: Lessons from Brexit," The Financial Review, Eastern Finance Association, vol. 56(2), pages 279-299, May.
    7. Dai, Zhifeng & Chang, Xiaoming, 2021. "Forecasting stock market volatility: Can the risk aversion measure exert an important role?," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    8. Theologos Dergiades & Costas Milas & Theodore Panagiotidis, 2013. "Tweets, Google Trends and Sovereign Spreads in the GIIPS," GreeSE – Hellenic Observatory Papers on Greece and Southeast Europe 78, Hellenic Observatory, LSE.
    9. Rho Caterina & Fernández Raúl & Palma Brenda, 2021. "A Sentiment-based Risk Indicator for the Mexican Financial Sector," Working Papers 2021-04, Banco de México.
    10. Melissa S. Kearney & Phillip B. Levine, 2015. "Media Influences on Social Outcomes: The Impact of MTV's 16 and Pregnant on Teen Childbearing," American Economic Review, American Economic Association, vol. 105(12), pages 3597-3632, December.
    11. Martina Halouskov'a & Daniel Stav{s}ek & Mat'uv{s} Horv'ath, 2022. "The role of investor attention in global asset price variation during the invasion of Ukraine," Papers 2205.05985, arXiv.org, revised Aug 2022.
    12. Ballinari, Daniele & Audrino, Francesco & Sigrist, Fabio, 2022. "When does attention matter? The effect of investor attention on stock market volatility around news releases," International Review of Financial Analysis, Elsevier, vol. 82(C).
    13. Huang, Jianbai & Tang, Jing & Zhang, Hongwei, 2020. "The effect of investors’ information search behaviors on rebar market return dynamics using high frequency data," Resources Policy, Elsevier, vol. 66(C).
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    150. Latoeiro, Pedro & Ramos, Sofía B. & Veiga, Helena, 2013. "Predictability of stock market activity using Google search queries," DES - Working Papers. Statistics and Econometrics. WS ws130605, Universidad Carlos III de Madrid. Departamento de Estadística.
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    169. Papadamou, Stephanos & Fassas, Athanasios P. & Kenourgios, Dimitris & Dimitriou, Dimitrios, 2021. "Flight-to-quality between global stock and bond markets in the COVID era," Finance Research Letters, Elsevier, vol. 38(C).
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    173. Eli Arditi & Eldad Yechiam & Gal Zahavi, 2015. "Association between Stock Market Gains and Losses and Google Searches," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-12, October.
    174. Hasler, Michael & Ornthanalai, Chayawat, 2018. "Fluctuating attention and financial contagion," Journal of Monetary Economics, Elsevier, vol. 99(C), pages 106-123.
    175. Michael Graham & Jussi Nikkinen & Jarkko Peltomäki, 2020. "Web-Based Investor Fear Gauge and Stock Market Volatility: An Emerging Market Perspective," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 19(2), pages 127-153, August.
    176. Ahmed, Walid M.A., 2024. "Attention to climate change and eco-friendly financial-asset prices: A quantile ARDL approach," Energy Economics, Elsevier, vol. 136(C).
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    178. Emre Cevik & Buket Kirci Altinkeski & Emrah Ismail Cevik & Sel Dibooglu, 2022. "Investor sentiments and stock markets during the COVID-19 pandemic," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-34, December.
    179. Coble, David & Pincheira, Pablo, 2017. "Nowcasting Building Permits with Google Trends," MPRA Paper 76514, University Library of Munich, Germany.
    180. Chouliaras, Andreas & Grammatikos, Theoharry, 2013. "News Flow, Web Attention and Extreme Returns in the European Financial Crisis," MPRA Paper 51335, University Library of Munich, Germany.
    181. Prakash Ranjan, Ravi & Bhattachharyya, Malay, 2018. "Does investor attention to energy stocks exhibit power law?," Energy Economics, Elsevier, vol. 75(C), pages 573-582.
    182. Aharon, David Y. & Qadan, Mahmoud, 2018. "What drives the demand for information in the commodity market?," Resources Policy, Elsevier, vol. 59(C), pages 532-543.
    183. Massimo PERI & Daniela VANDONE & Lucia BALDI, 2012. "Internet, noise trading and commodity prices," Departmental Working Papers 2012-07, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
    184. Liu, Fengqi & Kang, Yuxin & Guo, Kun & Sun, Xiaolei, 2021. "The relationship between air pollution, investor attention and stock prices: Evidence from new energy and polluting sectors," Energy Policy, Elsevier, vol. 156(C).
    185. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2024. "Google search trends and stock markets: Sentiment, attention or uncertainty?," International Review of Financial Analysis, Elsevier, vol. 91(C).
    186. Ding, Rong & Hou, Wenxuan, 2015. "Retail investor attention and stock liquidity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 12-26.
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    188. Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia, 2023. "Do commodity markets catch a cold from stock markets? Modelling uncertainty spillovers using Google search trends and wavelet coherence," International Review of Financial Analysis, Elsevier, vol. 87(C).
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    191. Katsiampa, Paraskevi & Moutsianas, Konstantinos & Urquhart, Andrew, 2019. "Information demand and cryptocurrency market activity," Economics Letters, Elsevier, vol. 185(C).
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    195. Goddard, John & Kita, Arben & Wang, Qingwei, 2015. "Investor attention and FX market volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 79-96.
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    210. Jolana Stejskalová, 2017. "The Impact of Attention to News about Tax Changes on the Stock Market," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(6), pages 2113-2121.
    211. Feng He & Libo Yin, 2021. "Shocks to the equity capital ratio of financial intermediaries and the predictability of stock return volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(6), pages 945-962, September.
    212. Lei, Lijun (Gillian) & Li, Yutao & Luo, Yan, 2019. "Production and dissemination of corporate information in social media: A review," Journal of Accounting Literature, Elsevier, vol. 42(C), pages 29-43.
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    215. Sobti, Neharika & Sehgal, Sanjay & Ilango, Balakrishnan, 2021. "How do macroeconomic news surprises affect round-the-clock price discovery of gold?," International Review of Financial Analysis, Elsevier, vol. 78(C).

  8. Kourtis, Apostolos & Dotsis, George & Markellos, Raphael N., 2012. "Parameter uncertainty in portfolio selection: Shrinking the inverse covariance matrix," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2522-2531.

    Cited by:

    1. Maurizio Daniele & Winfried Pohlmeier & Aygul Zagidullina, 2018. "Sparse Approximate Factor Estimation for High-Dimensional Covariance Matrices," Working Paper Series of the Department of Economics, University of Konstanz 2018-07, Department of Economics, University of Konstanz.
    2. Giovanni Bonaccolto & Massimiliano Caporin & Sandra Paterlini, 2015. "Asset Allocation Strategies Based On Penalized Quantile Regression," "Marco Fanno" Working Papers 0199, Dipartimento di Scienze Economiche "Marco Fanno".
    3. Avagyan, Vahe & Nogales, Francisco J., 2015. "D-trace Precision Matrix Estimation Using Adaptive Lasso Penalties," DES - Working Papers. Statistics and Econometrics. WS 21775, Universidad Carlos III de Madrid. Departamento de Estadística.
    4. Philipp J. Kremer & Andreea Talmaciu & Sandra Paterlini, 2018. "Risk minimization in multi-factor portfolios: What is the best strategy?," Annals of Operations Research, Springer, vol. 266(1), pages 255-291, July.
    5. Francesco Lautizi, 2015. "Large Scale Covariance Estimates for Portfolio Selection," CEIS Research Paper 353, Tor Vergata University, CEIS, revised 07 Aug 2015.
    6. Ruili Sun & Tiefeng Ma & Shuangzhe Liu, 2018. "A Stein-type shrinkage estimator of the covariance matrix for portfolio selections," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 81(8), pages 931-952, November.
    7. Michael Curran & Patrick O'Sullivan & Ryan Zalla, 2020. "Can Volatility Solve the Naive Portfolio Puzzle?," Papers 2005.03204, arXiv.org, revised Feb 2022.
    8. Ruili Sun & Tiefeng Ma & Shuangzhe Liu, 2020. "Portfolio selection: shrinking the time-varying inverse conditional covariance matrix," Statistical Papers, Springer, vol. 61(6), pages 2583-2604, December.
    9. Füss, Roland & Miebs, Felix & Trübenbach, Fabian, 2014. "A jackknife-type estimator for portfolio revision," Journal of Banking & Finance, Elsevier, vol. 43(C), pages 14-28.
    10. Arbia, Giuseppe & Bramante, Riccardo & Facchinetti, Silvia & Zappa, Diego, 2018. "Modeling inter-country spatial financial interactions with Graphical Lasso: An application to sovereign co-risk evaluation," Regional Science and Urban Economics, Elsevier, vol. 70(C), pages 72-79.
    11. Hwang, Inchang & Xu, Simon & In, Francis, 2018. "Naive versus optimal diversification: Tail risk and performance," European Journal of Operational Research, Elsevier, vol. 265(1), pages 372-388.
    12. Eom, Cheoljun & Park, Jong Won, 2018. "A new method for better portfolio investment: A case of the Korean stock market," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 213-231.
    13. Kontosakos, Vasileios E. & Hwang, Soosung & Kallinterakis, Vasileios & Pantelous, Athanasios A., 2024. "Long-term dynamic asset allocation under asymmetric risk preferences," European Journal of Operational Research, Elsevier, vol. 312(2), pages 765-782.
    14. Jianqing Fan & Yuan Liao & Martina Mincheva, 2013. "Large covariance estimation by thresholding principal orthogonal complements," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(4), pages 603-680, September.
    15. Qiao, W. & Bu, D. & Gibberd, A. & Liao, Y. & Wen, T. & Li, E., 2023. "When “time varying” volatility meets “transaction cost” in portfolio selection," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 220-237.
    16. DeMiguel, Victor & Martin-Utrera, Alberto & Nogales, Francisco J., 2013. "Size matters: Optimal calibration of shrinkage estimators for portfolio selection," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 3018-3034.
    17. Symitsi, Efthymia & Symeonidis, Lazaros & Kourtis, Apostolos & Markellos, Raphael, 2018. "Covariance forecasting in equity markets," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 153-168.
    18. Carroll, Rachael & Conlon, Thomas & Cotter, John & Salvador, Enrique, 2017. "Asset allocation with correlation: A composite trade-off," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1164-1180.
    19. Maria-Teresa Bosch-Badia & Joan Montllor-Serrats & Maria-Antonia Tarrazon-Rodon, 2017. "Analysing the information embedded in the optimal mean–variance weights: CAPM versus Bamberg and Dorfleitner model," Review of Managerial Science, Springer, vol. 11(4), pages 789-814, October.
    20. Daniel Bartz & Kerr Hatrick & Christian W Hesse & Klaus-Robert Müller & Steven Lemm, 2013. "Directional Variance Adjustment: Bias Reduction in Covariance Matrices Based on Factor Analysis with an Application to Portfolio Optimization," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-14, July.
    21. Ruili Sun & Tiefeng Ma & Shuangzhe Liu & Milind Sathye, 2019. "Improved Covariance Matrix Estimation for Portfolio Risk Measurement: A Review," JRFM, MDPI, vol. 12(1), pages 1-34, March.
    22. Bian, Zhicun & Liao, Yin & O’Neill, Michael & Shi, Jing & Zhang, Xueyong, 2020. "Large-scale minimum variance portfolio allocation using double regularization," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    23. Esra Ulasan & A. Özlem Önder, 2023. "Large portfolio optimisation approaches," Journal of Asset Management, Palgrave Macmillan, vol. 24(6), pages 485-497, October.
    24. Zhifeng Dai & Jie Kang, 2022. "Some new efficient mean–variance portfolio selection models," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4784-4796, October.
    25. Avagyan, Vahe, 2016. "D-Trace precision matrix estimator with eigenvalue control," DES - Working Papers. Statistics and Econometrics. WS 23410, Universidad Carlos III de Madrid. Departamento de Estadística.
    26. Kourtis, Apostolos, 2014. "On the distribution and estimation of trading costs," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 104-117.
    27. Dimitrios D. Thomakos & Fotis Papailias, 2013. "Covariance Averaging for Improved Estimation and Portfolio Allocation," Working Paper series 66_13, Rimini Centre for Economic Analysis.
    28. Avagyan, Vahe & Nogales, Francisco J., 2014. "Improving the graphical lasso estimation for the precision matrix through roots ot the sample convariance matrix," DES - Working Papers. Statistics and Econometrics. WS ws141208, Universidad Carlos III de Madrid. Departamento de Estadística.
    29. Xiangyu Cui & Xuan Zhang, 2021. "Index tracking strategy based on mixed-frequency financial data," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-15, April.
    30. Le, Trung H., 2021. "International portfolio allocation: The role of conditional higher moments," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 33-57.
    31. Branger, Nicole & Lučivjanská, Katarína & Weissensteiner, Alex, 2019. "Optimal granularity for portfolio choice," Journal of Empirical Finance, Elsevier, vol. 50(C), pages 125-146.
    32. Bodnar, Olha & Bodnar, Taras & Parolya, Nestor, 2022. "Recent advances in shrinkage-based high-dimensional inference," Journal of Multivariate Analysis, Elsevier, vol. 188(C).
    33. Vahe Avagyan & Andrés M. Alonso & Francisco J. Nogales, 2018. "D-trace estimation of a precision matrix using adaptive Lasso penalties," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(2), pages 425-447, June.

  9. Vasiliki Makropoulou & Raphael N. Markellos, 2011. "Optimal Price Setting In Fixed‐Odds Betting Markets Under Information Uncertainty," Scottish Journal of Political Economy, Scottish Economic Society, vol. 58(4), pages 519-536, September.

    Cited by:

    1. Jiř� Lahvička, 2014. "What causes the favourite-longshot bias? Further evidence from tennis," Applied Economics Letters, Taylor & Francis Journals, vol. 21(2), pages 90-92, January.
    2. Babatunde Buraimo & David Peel & Rob Simmons, 2013. "Systematic Positive Expected Returns in the UK Fixed Odds Betting Market: An Analysis of the Fink Tank Predictions," IJFS, MDPI, vol. 1(4), pages 1-15, December.
    3. David Winkelmann & Christian Deutscher & Marius Ötting, 2021. "Bookmakers’ mispricing of the disappeared home advantage in the German Bundesliga after the COVID-19 break," Applied Economics, Taylor & Francis Journals, vol. 53(26), pages 3054-3064, June.
    4. Isabel Abinzano & Luis Muga & Rafael Santamaria, 2019. "Hidden Power of Trading Activity: The FLB in Tennis Betting Exchanges," Journal of Sports Economics, , vol. 20(2), pages 261-285, February.
    5. Arne Feddersen & Brad R. Humphreys & Brian P. Soebbing, 2018. "Sentiment Bias in National Basketball Association Betting," Journal of Sports Economics, , vol. 19(4), pages 455-472, May.
    6. A. Schnytzer & V. Makropoulou & M. Lamers, 2012. "Pricing Decisions and Insider Trading in Horse Betting Markets," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 12/772, Ghent University, Faculty of Economics and Business Administration.
    7. Nikolaos Vlastakis & George Dotsis & Raphael N. Markellos, 2009. "How efficient is the European football betting market? Evidence from arbitrage and trading strategies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(5), pages 426-444.

  10. Dimitris Psychoyios & George Dotsis & Raphael Markellos, 2010. "A jump diffusion model for VIX volatility options and futures," Review of Quantitative Finance and Accounting, Springer, vol. 35(3), pages 245-269, October.

    Cited by:

    1. 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.
    2. Bujar Huskaj & Marcus Nossman, 2013. "A Term Structure Model for VIX Futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(5), pages 421-442, May.
    3. 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.
    4. 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).
    5. Oriol Zamora Font, 2024. "Pricing VIX options under the Heston-Hawkes stochastic volatility model," Papers 2406.13508, arXiv.org.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Venter, Pierre J & Maré, Eben, 2022. "Price discovery in the volatility index option market: A univariate GARCH approach," Finance Research Letters, Elsevier, vol. 44(C).
    11. Markellos, Raphael N. & Psychoyios, Dimitris, 2018. "Interest rate volatility and risk management: Evidence from CBOE Treasury options," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 190-202.
    12. Konstantinos Gkillas & Rangan Gupta & Mark E. Wohar, 2020. "Oil shocks and volatility jumps," Review of Quantitative Finance and Accounting, Springer, vol. 54(1), pages 247-272, January.
    13. Angelos Kanas, 2014. "Uncovering a positive risk-return relation: the role of implied volatility index," Review of Quantitative Finance and Accounting, Springer, vol. 42(1), pages 159-170, January.
    14. Jing, Bo & Li, Shenghong & Ma, Yong, 2021. "Consistent pricing of VIX options with the Hawkes jump-diffusion model," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    15. Alexander Badran & Beniamin Goldys, 2015. "A Market Model for VIX Futures," Papers 1504.00428, arXiv.org.
    16. Ma, Jingtang & Li, Wenyuan & Han, Xu, 2015. "Stochastic lattice models for valuation of volatility options," Economic Modelling, Elsevier, vol. 47(C), pages 93-104.
    17. Bao, Qunfang & Li, Shenghong & Gong, Donggeng, 2012. "Pricing VXX option with default risk and positive volatility skew," European Journal of Operational Research, Elsevier, vol. 223(1), pages 246-255.
    18. Cheng-Few Lee & Yibing Chen & John Lee, 2016. "Alternative methods to derive option pricing models: review and comparison," Review of Quantitative Finance and Accounting, Springer, vol. 47(2), pages 417-451, August.
    19. Qadan, Mahmoud & Kliger, Doron & Chen, Nir, 2019. "Idiosyncratic volatility, the VIX and stock returns," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 431-441.
    20. 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.
    21. 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.
    22. Jilong Chen & Christian Ewald, 2017. "On the Performance of the Comonotonicity Approach for Pricing Asian Options in Some Benchmark Models from Equities and Commodities," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 20(01), pages 1-32, March.
    23. Leonidas S. Rompolis & Elias Tzavalis, 2017. "Retrieving risk neutral moments and expected quadratic variation from option prices," Review of Quantitative Finance and Accounting, Springer, vol. 48(4), pages 955-1002, May.
    24. 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.
    25. Sharif Mozumder & Ghulam Sorwar & Kevin Dowd, 2013. "Option pricing under non-normality: a comparative analysis," Review of Quantitative Finance and Accounting, Springer, vol. 40(2), pages 273-292, February.
    26. Li, Jing & Li, Lingfei & Zhang, Gongqiu, 2017. "Pure jump models for pricing and hedging VIX derivatives," Journal of Economic Dynamics and Control, Elsevier, vol. 74(C), pages 28-55.
    27. Lin, Yueh-Neng, 2013. "VIX option pricing and CBOE VIX Term Structure: A new methodology for volatility derivatives valuation," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4432-4446.
    28. Daniel Guterding, 2020. "Inventory effects on the price dynamics of VSTOXX futures quantified via machine learning," Papers 2002.08207, arXiv.org.
    29. Jin-Huei Yeh & Jying-Nan Wang & Chung-Ming Kuan, 2014. "A noise-robust estimator of volatility based on interquantile ranges," Review of Quantitative Finance and Accounting, Springer, vol. 43(4), pages 751-779, November.
    30. Sharif Mozumder & Bakhtear Talukdar & M. Humayun Kabir & Bingxin Li, 2024. "Non-linear volatility with normal inverse Gaussian innovations: ad-hoc analytic option pricing," Review of Quantitative Finance and Accounting, Springer, vol. 62(1), pages 97-133, January.
    31. Pacati, Claudio & Pompa, Gabriele & Renò, Roberto, 2018. "Smiling twice: The Heston++ model," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 185-206.
    32. 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.
    33. 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.
    34. Bahram Adrangi & Arjun Chatrath & Joseph Macri & Kambiz Raffiee, 2019. "Dynamic Responses of Major Equity Markets to the US Fear Index," JRFM, MDPI, vol. 12(4), pages 1-23, September.
    35. Bao, Qunfang, 2013. "Mean-Reverting Logarithmic Modeling of VIX," MPRA Paper 46413, University Library of Munich, Germany.
    36. 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.
    37. 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.
    38. Qadan, Mahmoud & Aharon, David Y., 2019. "How much happiness can we find in the U.S. fear Index?," Finance Research Letters, Elsevier, vol. 30(C), pages 246-258.

  11. Symeonidis, Lazaros & Daskalakis, George & Markellos, Raphael N., 2010. "Does the weather affect stock market volatility?," Finance Research Letters, Elsevier, vol. 7(4), pages 214-223, December.
    See citations under working paper version above.
  12. Manolis Kritikos & Raphael Markellos & Gregory Prastacos, 2010. "Corporate real estate analysis: evaluating telecom branch efficiency in Greece," Applied Economics, Taylor & Francis Journals, vol. 42(9), pages 1133-1143.

    Cited by:

    1. António S. Ribeiro & Francisco Lima, 2012. "Portuguese football league efficiency and players' wages," Applied Economics Letters, Taylor & Francis Journals, vol. 19(6), pages 599-602, April.
    2. Yi-Chung Hsu, 2014. "Efficiency in government health spending: a super slacks-based model," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 111-126, January.
    3. Congcong Yang & Alfred Taudes & Guozhi Dong, 2017. "Efficiency analysis of European Freight Villages: three peers for benchmarking," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 25(1), pages 91-122, March.

  13. Nikolaos Vlastakis & George Dotsis & Raphael N. Markellos, 2009. "How efficient is the European football betting market? Evidence from arbitrage and trading strategies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(5), pages 426-444.

    Cited by:

    1. Dagaev, Dmitry & Stoyan, Egor, 2020. "Parimutuel betting on the eSports duels: Evidence of the reverse favourite-longshot bias," Journal of Economic Psychology, Elsevier, vol. 81(C).
    2. Nikolaos Vlastakis & George Dotsis & Raphael Markellos, 2008. "Nonlinear modelling of European football scores using support vector machines," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 111-118.
    3. Lahvicka, Jiri, 2013. "The Fibonacci Strategy Revisited: Can You Really Make Money by Betting on Soccer Draws?," MPRA Paper 47649, University Library of Munich, Germany.
    4. Giovanni Angelini & Luca De Angelis, 2017. "PARX model for football match predictions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(7), pages 795-807, November.
    5. Egon Franck & Erwin Verbeek & Stephan Nuesch, 2008. "Sentimental Preferences and the Organizational Regime of Betting Markets," Working Papers 0089, University of Zurich, Institute for Strategy and Business Economics (ISU), revised 2010.
    6. Nicos Zafiris, 2016. "Is There Such A Thing As A Safe Bet ?," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 10(1), pages 40-65.
    7. Martin Spann & Bernd Skiera, 2009. "Sports forecasting: a comparison of the forecast accuracy of prediction markets, betting odds and tipsters," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(1), pages 55-72.
    8. Auld, Tom & Linton, Oliver, 2019. "The behaviour of betting and currency markets on the night of the EU referendum," International Journal of Forecasting, Elsevier, vol. 35(1), pages 371-389.
    9. Rebeggiani, Luca & Gross, Johannes, 2018. "Chance or Ability? The Efficiency of the Football Betting Market Revisited," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181563, Verein für Socialpolitik / German Economic Association.
    10. Andrei Shynkevich, 2022. "Informational efficiency of football transfer market," Economics Bulletin, AccessEcon, vol. 42(2), pages 1032-1039.
    11. Vincenzo Candila & Antonio Scognamillo, 2019. "On the Longshot Bias in Tennis Betting Markets: The Casco Normalization," Working Papers 3_236, Dipartimento di Scienze Economiche e Statistiche, Università degli Studi di Salerno.
    12. Adrian Bell & Chris Brooks & David Matthews & Charles Sutcliffe, 2011. "Over the Moon or Sick as a Parrot? The Effects of Football Results on a Club's Share Price," Post-Print hal-00709557, HAL.
    13. Kai Fischer & Justus Haucap, 2022. "Home advantage in professional soccer and betting market efficiency: The role of spectator crowds," Kyklos, Wiley Blackwell, vol. 75(2), pages 294-316, May.
    14. Angelini, Giovanni & De Angelis, Luca, 2019. "Efficiency of online football betting markets," International Journal of Forecasting, Elsevier, vol. 35(2), pages 712-721.
    15. Kai Fischer & Justus Haucap, 2020. "Betting Market Efficiency in the Presence of Unfamiliar Shocks: The Case of Ghost Games during the Covid-19 Pandemic," CESifo Working Paper Series 8526, CESifo.
    16. Montone, Maurizio, 2021. "Optimal pricing in the online betting market," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 344-363.
    17. Christian Deutscher & David Winkelmann & Marius Otting, 2020. "Bookmakers' mispricing of the disappeared home advantage in the German Bundesliga after the COVID-19 break," Papers 2008.05417, arXiv.org, revised Aug 2020.
    18. Leitner, Christoph & Zeileis, Achim & Hornik, Kurt, 2010. "Forecasting sports tournaments by ratings of (prob)abilities: A comparison for the EUROÂ 2008," International Journal of Forecasting, Elsevier, vol. 26(3), pages 471-481, July.
    19. Giovanni Angelini & Luca De Angelis & Carl Singleton, 2019. "Informational efficiency and behaviour within in-play prediction markets," Economics Discussion Papers em-dp2019-20, Department of Economics, University of Reading, revised 01 Apr 2021.
    20. Marius Ötting & Christian Deutscher & Carl Singleton & Luca De Angelis, 2022. "Gambling on Momentum," Economics Discussion Papers em-dp2022-10, Department of Economics, University of Reading.
      • Marius Otting & Christian Deutscher & Carl Singleton & Luca De Angelis, 2022. "Gambling on Momentum," Papers 2211.06052, arXiv.org.
    21. Babatunde Buraimo & David Peel & Rob Simmons, 2013. "Systematic Positive Expected Returns in the UK Fixed Odds Betting Market: An Analysis of the Fink Tank Predictions," IJFS, MDPI, vol. 1(4), pages 1-15, December.
    22. Dimic, Nebojsa & Neudl, Manfred & Orlov, Vitaly & Äijö, Janne, 2018. "Investor sentiment, soccer games and stock returns," Research in International Business and Finance, Elsevier, vol. 43(C), pages 90-98.
    23. David Winkelmann & Marius Ötting & Christian Deutscher & Tomasz Makarewicz, 2024. "Are Betting Markets Inefficient? Evidence From Simulations and Real Data," Journal of Sports Economics, , vol. 25(1), pages 54-97, January.
    24. Guy Elaad & J. James Reade & Carl Singleton, 2019. "Information, prices and efficiency in an online betting market," Economics Discussion Papers em-dp2019-10, Department of Economics, University of Reading.
    25. Philip W. S. Newall & Dominic Cortis, 2021. "Are Sports Bettors Biased toward Longshots, Favorites, or Both? A Literature Review," Risks, MDPI, vol. 9(1), pages 1-9, January.
    26. Lessmann, Stefan & Sung, Ming-Chien & Johnson, Johnnie E.V. & Ma, Tiejun, 2012. "A new methodology for generating and combining statistical forecasting models to enhance competitive event prediction," European Journal of Operational Research, Elsevier, vol. 218(1), pages 163-174.
    27. Carlos Gomez-Gonzalez & Julio del Corral, 2018. "The betting market over time: overround and surebets in European football," Economics and Business Letters, Oviedo University Press, vol. 7(4), pages 129-136.
    28. Jinook Jeong & Jee Young Kim & Yoon Jae Ro, 2017. "On the Efficiency of Racetrack Betting Market: A New Test for the Favorite-Longshot Bias," Working papers 2017rwp-106, Yonsei University, Yonsei Economics Research Institute.
    29. Masahiro Ashiya, 2013. "Lock! Risk-Free Arbitrage in the Japanese Racetrack Betting Market," Discussion Papers 1301, Graduate School of Economics, Kobe University.
    30. Andrew Grant & Anastasios Oikonomidis & Alistair C. Bruce & Johnnie E. V. Johnson, 2018. "New entry, strategic diversity and efficiency in soccer betting markets: the creation and suppression of arbitrage opportunities," The European Journal of Finance, Taylor & Francis Journals, vol. 24(18), pages 1799-1816, December.
    31. Fry, John & Serbera, Jean-Philippe & Wilson, Rob, 2021. "Managing performance expectations in association football," Journal of Business Research, Elsevier, vol. 135(C), pages 445-453.
    32. Isabel Abinzano & Luis Muga & Rafael Santamaria, 2017. "Behavioral Biases Never Walk Alone," Journal of Sports Economics, , vol. 18(2), pages 99-125, February.
    33. Luca De Angelis & J. James Reade, 2022. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Economics Discussion Papers em-dp2022-01, Department of Economics, University of Reading.
    34. Li, Yang & Brooks, Robert, 2022. "Evidence of arbitrage trading activity: The case of Chinese metal futures contracts," Emerging Markets Review, Elsevier, vol. 51(PB).
    35. Egon Franck & Erwin Verbeek & Stephan Nüesch, 2013. "Inter-market Arbitrage in Betting," Economica, London School of Economics and Political Science, vol. 80(318), pages 300-325, April.
    36. Hofer, Vera & Leitner, Johannes, 2017. "Relative pricing of binary options in live soccer betting markets," Journal of Economic Dynamics and Control, Elsevier, vol. 76(C), pages 66-85.
    37. Haoyu Liu & Carl Donovan & Valentin Popov, 2024. "A Comparison between Financial and Gambling Markets," Papers 2409.13528, arXiv.org.
    38. Guy Elaad, 2020. "Home-field advantage and biased prediction markets in English soccer," Applied Economics Letters, Taylor & Francis Journals, vol. 27(14), pages 1170-1174, July.
    39. David Winkelmann & Christian Deutscher & Marius Ötting, 2021. "Bookmakers’ mispricing of the disappeared home advantage in the German Bundesliga after the COVID-19 break," Applied Economics, Taylor & Francis Journals, vol. 53(26), pages 3054-3064, June.
    40. Buhagiar, Ranier & Cortis, Dominic & Newall, Philip W.S., 2018. "Why do some soccer bettors lose more money than others?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 18(C), pages 85-93.
    41. Dominic Cortis & Steve Hales & Frank Bezzina, 2013. "Profiting On Inefficiencies In Betting Derivative Markets: The Case Of Uefa Euro 2012," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 7(1), pages 39-51.
    42. Marius Ötting & Christian Deutscher & Carl Singleton & Luca De Angelis, 2023. "Gambling on Momentum in Contests," Economics Discussion Papers em-dp2023-08, Department of Economics, University of Reading.
    43. Pascal Flurin Meier & Raphael Flepp & Egon Franck, 2021. "Are sports betting markets semistrong efficient? Evidence from the COVID-19 pandemic," Working Papers 387, University of Zurich, Department of Business Administration (IBW).
    44. Goto, Shingo & Yamada, Toru, 2023. "What drives biased odds in sports betting markets: Bettors’ irrationality and the role of bookmakers," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 252-270.
    45. Colantonio Emiliano, 2013. "Betting Markets: Opportunities For Many?," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pages 200-208, December.
    46. Salvatore Caruso & Giuseppe Pernagallo, 2021. "On the efficiency of online soccer betting markets: a new methodology based on symbolic series," Economics Bulletin, AccessEcon, vol. 41(3), pages 1451-1460.
    47. Luca De Angelis & J. James Reade, 2023. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Annals of Operations Research, Springer, vol. 325(1), pages 391-418, June.

  14. Daskalakis, George & Markellos, Raphael N., 2009. "Are electricity risk premia affected by emission allowance prices? Evidence from the EEX, Nord Pool and Powernext," Energy Policy, Elsevier, vol. 37(7), pages 2594-2604, July.

    Cited by:

    1. Silvester Van Koten, 2020. "The Forward Premium in Electricity Markets: An Experimental Study," CERGE-EI Working Papers wp656, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    2. Pietz, Matthäus, 2009. "Risk premia in electricity wholesale spot markets: empirical evidence from Germany," CEFS Working Paper Series 2009-11, Technische Universität München (TUM), Center for Entrepreneurial and Financial Studies (CEFS).
    3. Naeem, Muhammad Abubakr & Arfaoui, Nadia, 2023. "Exploring downside risk dependence across energy markets: Electricity, conventional energy, carbon, and clean energy during episodes of market crises," Energy Economics, Elsevier, vol. 127(PB).
    4. Bunn, Derek W. & Chen, Dipeng, 2013. "The forward premium in electricity futures," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 173-186.
    5. Marc Gronwald & Janina Ketterer & Stefan Trück, 2011. "The Dependence Structure between Carbon Emission Allowances and Financial Markets - A Copula Analysis," CESifo Working Paper Series 3418, CESifo.
    6. Ajay K. Dhamija & Surendra S. Yadav & PK Jain, 2017. "Forecasting volatility of carbon under EU ETS: a multi-phase study," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(2), pages 299-335, April.
    7. Lyu, Chenyan & Do, Hung Xuan & Nepal, Rabindra & Jamasb, Tooraj, 2024. "Volatility spillovers and carbon price in the Nordic wholesale electricity markets," Energy Economics, Elsevier, vol. 134(C).
    8. Deeney, Peter & Cummins, Mark & Dowling, Michael & Smeaton, Alan F., 2016. "Influences from the European Parliament on EU emissions prices," Energy Policy, Elsevier, vol. 88(C), pages 561-572.
    9. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.
    10. Yuexu Zhao & Weiqi Xu, 2023. "Measurement of risk spillover effect based on EV-Copula method," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    11. Chang, C-L. & Mai, T.K. & McAleer, M.J., 2018. "Pricing Carbon Emissions in China," Econometric Institute Research Papers EI 2018-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Viehmann, Johannes, 2011. "Risk premiums in the German day-ahead Electricity Market," Energy Policy, Elsevier, vol. 39(1), pages 386-394, January.
    13. Zhi-Fu Mi & Yue-Jun Zhang, 2010. "Estimating the 'value at risk' of EUA futures prices based on the extreme value theory," CEEP-BIT Working Papers 9, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    14. Pawel Maryniak & Stefan Trueck & Rafal Weron, 2016. "Carbon pricing, forward risk premiums and pass-through rates in Australian electricity futures markets," HSC Research Reports HSC/16/10, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    15. Christian Redl & Derek Bunn, 2013. "Determinants of the premium in forward contracts," Journal of Regulatory Economics, Springer, vol. 43(1), pages 90-111, January.
    16. Reboredo, Juan C., 2014. "Volatility spillovers between the oil market and the European Union carbon emission market," Economic Modelling, Elsevier, vol. 36(C), pages 229-234.
    17. Reboredo, Juan C., 2013. "Modeling EU allowances and oil market interdependence. Implications for portfolio management," Energy Economics, Elsevier, vol. 36(C), pages 471-480.
    18. Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2018. "Moving Average Market Timing in European Energy Markets: Production Versus Emissions," Energies, MDPI, vol. 11(12), pages 1-24, November.
    19. Yue-Jun Zhang, 2016. "Research on carbon emission trading mechanisms: current status and future possibilities," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 39(1/2), pages 89-107.
    20. Cao, Guangxi & Xu, Wei, 2016. "Nonlinear structure analysis of carbon and energy markets with MFDCCA based on maximum overlap wavelet transform," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 505-523.
    21. George Daskalakis, Lazaros Symeonidis, Raphael N. Markellos, 2015. "Electricity futures prices in an emissions constrained economy: Evidence from European power markets," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    22. Aatola, Piia & Ollikainen, Markku & Toppinen, Anne, 2013. "Price determination in the EU ETS market: Theory and econometric analysis with market fundamentals," Energy Economics, Elsevier, vol. 36(C), pages 380-395.
    23. Wang, Yudong & Guo, Zhuangyue, 2018. "The dynamic spillover between carbon and energy markets: New evidence," Energy, Elsevier, vol. 149(C), pages 24-33.
    24. Maryniak, Paweł & Trück, Stefan & Weron, Rafał, 2019. "Carbon pricing and electricity markets — The case of the Australian Clean Energy Bill," Energy Economics, Elsevier, vol. 79(C), pages 45-58.
    25. Duan, Kun & Zhang, Liya & Urquhart, Andrew & Yao, Kai & Peng, Long, 2024. "Do clean and dirty cryptocurrencies connect financial assets differently? The perspective of market inefficiency," Research in International Business and Finance, Elsevier, vol. 70(PB).
    26. Rohlfs, Wilko & Madlener, Reinhard, 2010. "Valuation of CCS-Ready Coal-Fired Power Plants: A Multi-Dimensional Real Options Approach," FCN Working Papers 7/2010, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    27. Byun, Suk Joon & Cho, Hangjun, 2013. "Forecasting carbon futures volatility using GARCH models with energy volatilities," Energy Economics, Elsevier, vol. 40(C), pages 207-221.
    28. Yue-Jun Zhang & Yi-Ming Wei, 2009. "An overview of current research on EU ETS: Evidence from its operating mechanism and economic effect," CEEP-BIT Working Papers 3, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    29. Reboredo, Juan C. & Ugando, Mikel, 2015. "Downside risks in EU carbon and fossil fuel markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 111(C), pages 17-35.
    30. Fei Ye & Lixu Li & Zhiqiang Wang & Yina Li, 2018. "An Asymmetric Nash Bargaining Model for Carbon Emission Quota Allocation among Industries: Evidence from Guangdong Province, China," Sustainability, MDPI, vol. 10(11), pages 1-18, November.
    31. Elliott, Robert J. & Lyle, Matthew R. & Miao, Hong, 2010. "A model for energy pricing with stochastic emission costs," Energy Economics, Elsevier, vol. 32(4), pages 838-847, July.
    32. Mei, Tianhua & Liu, Jie & Guo, Jianming & Siano, Pierluigi & Jin, Xuanxuan, 2022. "Allocation of emission allowances considering strategic voting," Energy Economics, Elsevier, vol. 114(C).
    33. Brooks, Chris & Prokopczuk, Marcel & Wu, Yingying, 2013. "Commodity futures prices: More evidence on forecast power, risk premia and the theory of storage," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(1), pages 73-85.
    34. Eunyoung Kim & Youngcheul Ahn & Doojin Ryu, 2014. "Application of the Carbon Emission Pricing Model in the Korean Market," Energy & Environment, , vol. 25(1), pages 63-78, February.
    35. Kaiying Lin & Beibei Wang & Pengcheng You, 2021. "Mechanism Design for Efficient Nash Equilibrium in Oligopolistic Markets," Papers 2106.11120, arXiv.org.
    36. Carlos Pinho & Mara Madaleno, 2011. "Links between spot and futures allowances: ECX and EEX markets comparison," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 35(2/3/4), pages 101-131.
    37. Erik Haugom & Peter Molnár & Magne Tysdahl, 2020. "Determinants of the Forward Premium in the Nord Pool Electricity Market," Energies, MDPI, vol. 13(5), pages 1-18, March.
    38. Pietz, Matthäus, 2009. "Risk premia in the German electricity futures market," CEFS Working Paper Series 2009-07, Technische Universität München (TUM), Center for Entrepreneurial and Financial Studies (CEFS).
    39. Balietti, Anca Claudia, 2016. "Trader types and volatility of emission allowance prices. Evidence from EU ETS Phase I," Energy Policy, Elsevier, vol. 98(C), pages 607-620.

  15. Daskalakis, George & Psychoyios, Dimitris & Markellos, Raphael N., 2009. "Modeling CO2 emission allowance prices and derivatives: Evidence from the European trading scheme," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1230-1241, July.

    Cited by:

    1. Hervé-Mignucci, Morgan, 2011. "Rôle du signal prix du carbone sur les décisions d'investissement des entreprises," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/8200 edited by Keppler, Jan Horst.
    2. Grüll, Georg & Taschini, Luca, 2010. "A comparison of reduced-form permit price models and their empirical performances," LSE Research Online Documents on Economics 37603, London School of Economics and Political Science, LSE Library.
    3. Ye, Dezhu & Liu, Shasha & Kong, Dongmin, 2013. "Do efforts on energy saving enhance firm values? Evidence from China's stock market," Energy Economics, Elsevier, vol. 40(C), pages 360-369.
    4. Jilin Zhang & Yukun Xu, 2020. "Research on the Price Fluctuation and Risk Formation Mechanism of Carbon Emission Rights in China Based on a GARCH Model," Sustainability, MDPI, vol. 12(10), pages 1-11, May.
    5. John Foster & Liam Wagner & Phil Wild & Junhua Zhao & Lucas Skoofa & Craig Froome, 2011. "Market and Economic Modelling of the Intelligent Grid: End of Year Report 2009," Energy Economics and Management Group Working Papers 09, School of Economics, University of Queensland, Australia.
    6. Mengrui Zhu & Hua Xu & Xingyu Gao & Minggang Wang & André L. M. Vilela & Lixin Tian, 2022. "Identification of Breakpoints in Carbon Market Based on Probability Density Recurrence Network," Energies, MDPI, vol. 15(15), pages 1-18, July.
    7. Panagiotis G. Papaioannou & George P. Papaioannou & Kostas Siettos & Akylas Stratigakos & Christos Dikaiakos, 2017. "Dynamic Conditional Correlation between Electricity and Stock markets during the Financial Crisis in Greece," Papers 1708.07063, arXiv.org.
    8. Shawkat Hammoudeh & Amine Lahiani & Duc Khuong Nguyen & Ricardo M. Sousa, 2014. "Asymmetric and nonlinear pass-through of energy prices to CO2 emission allowance prices," NIPE Working Papers 05/2014, NIPE - Universidade do Minho.
    9. Gwang Goo Lee & Sung-Won Ham, 2023. "Prediction of Carbon Price in EU-ETS Using a Geometric Brownian Motion Model and Its Application to Analyze the Economic Competitiveness of Carbon Capture and Storage," Energies, MDPI, vol. 16(17), pages 1-13, August.
    10. Fang, Sheng & Lu, Xinsheng & Li, Jianfeng & Qu, Ling, 2018. "Multifractal detrended cross-correlation analysis of carbon emission allowance and stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 551-566.
    11. Xu, Li & Deng, Shi-Jie & Thomas, Valerie M., 2016. "Carbon emission permit price volatility reduction through financial options," Energy Economics, Elsevier, vol. 53(C), pages 248-260.
    12. Sabbaghi, Omid & Sabbaghi, Navid, 2011. "Carbon Financial Instruments, thin trading, and volatility: Evidence from the Chicago Climate Exchange," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(4), pages 399-407.
    13. Charles, Amélie & Darné, Olivier & Fouilloux, Jessica, 2013. "Market efficiency in the European carbon markets," Energy Policy, Elsevier, vol. 60(C), pages 785-792.
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    148. Massimiliano Caporin & Fulvio Fontini & Samuele Segato, 2021. "Has the EU-ETS Financed the Energy Transition of the Italian Power System?," IJFS, MDPI, vol. 9(4), pages 1-15, December.
    149. Feria-Domínguez, José Manuel & Rodriguez-Carrillero, David & Guerra-Martinez, José Carlos, 2018. "Measuring the risk-adjusted performance of CO2 emission markets: Evidence from SENDECO2," Utilities Policy, Elsevier, vol. 50(C), pages 124-132.
    150. Benschop, Thijs & López Cabrera, Brenda, 2017. "Realized volatility of CO2 futures," SFB 649 Discussion Papers 2017-025, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    151. Daniela Spiesova, 2016. "Prediction of Emission Allowances Spot Prices Volatility with the Use of GARCH Models," ACTA VSFS, University of Finance and Administration, vol. 10(1), pages 66-79.
    152. Narayan, Paresh Kumar & Sharma, Susan Sunila, 2015. "Is carbon emissions trading profitable?," Economic Modelling, Elsevier, vol. 47(C), pages 84-92.
    153. Marc Gronwald & Janina Ketterer, 2012. "What Moves the European Carbon Market? - Insights from Conditional Jump Models," CESifo Working Paper Series 3795, CESifo.
    154. Julien Chevallier & Benoît Sévi, 2009. "On the realized volatility of the ECX CO2 emissions 2008 futures contract: distribution, dynamics and forecasting," Working Papers hal-04140871, HAL.
    155. Iordanis Angelos Kalaitzoglou & Boulis Maher Ibrahim, 2015. "Liquidity and resolution of uncertainty in the European carbon futures market," Post-Print hal-01107956, HAL.
    156. Viteva, Svetlana & Veld-Merkoulova, Yulia V. & Campbell, Kevin, 2014. "The forecasting accuracy of implied volatility from ECX carbon options," Energy Economics, Elsevier, vol. 45(C), pages 475-484.
    157. de, Vries Frans & Montagnoli, Alberto, 2009. "Carbon trading thickness and market efficiency: A non-parametric test," Stirling Economics Discussion Papers 2009-22, University of Stirling, Division of Economics.
    158. Nicolas Koch, 2014. "Dynamic linkages among carbon, energy and financial markets: a smooth transition approach," Applied Economics, Taylor & Francis Journals, vol. 46(7), pages 715-729, March.
    159. Katsushi Nakajima & Kazuhiko Ohashi, 2013. "Emission Allowance as a Derivative on Commodity-Spread," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 20(2), pages 183-217, May.
    160. René Carmona & Juri Hinz, 2011. "Risk-Neutral Models for Emission Allowance Prices and Option Valuation," Management Science, INFORMS, vol. 57(8), pages 1453-1468, August.
    161. Daskalakis, George, 2018. "Temporal restrictions on emissions trading and the implications for the carbon futures market: Lessons from the EU emissions trading scheme," Energy Policy, Elsevier, vol. 115(C), pages 88-91.
    162. Palao, Fernando & Pardo, Ángel, 2021. "The inconvenience yield of carbon futures," Energy Economics, Elsevier, vol. 101(C).
    163. Tan, Xueping & Sirichand, Kavita & Vivian, Andrew & Wang, Xinyu, 2020. "How connected is the carbon market to energy and financial markets? A systematic analysis of spillovers and dynamics," Energy Economics, Elsevier, vol. 90(C).
    164. Stefan Trück & Wolfgang Härdle & Rafal Weron, 2012. "The relationship between spot and futures CO2 emission allowance prices in the EU-ETS," HSC Research Reports HSC/12/02, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    165. Zhe Liu & Yanbin Li, 2024. "Pricing and valuation of carbon swap in uncertain finance market," Fuzzy Optimization and Decision Making, Springer, vol. 23(3), pages 319-336, September.
    166. Mizrach, Bruce, 2012. "Integration of the global carbon markets," Energy Economics, Elsevier, vol. 34(1), pages 335-349.
    167. Carlos Pinho & Mara Madaleno, 2011. "Links between spot and futures allowances: ECX and EEX markets comparison," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 35(2/3/4), pages 101-131.
    168. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
    169. Duan, Kun & Ren, Xiaohang & Shi, Yukun & Mishra, Tapas & Yan, Cheng, 2021. "The marginal impacts of energy prices on carbon price variations: Evidence from a quantile-on-quantile approach," Energy Economics, Elsevier, vol. 95(C).
    170. Rammerstorfer, Margarethe & Eisl, Roland, 2011. "Carbon capture and storage—Investment strategies for the future?," Energy Policy, Elsevier, vol. 39(11), pages 7103-7111.
    171. Yue Qi & Yue Wang, 2023. "Innovating and Pricing Carbon-Offset Options of Asian Styles on the Basis of Jump Diffusions and Fractal Brownian Motions," Mathematics, MDPI, vol. 11(16), pages 1-22, August.
    172. Lukas, Elmar & Welling, Andreas, 2014. "Timing and eco(nomic) efficiency of climate-friendly investments in supply chains," European Journal of Operational Research, Elsevier, vol. 233(2), pages 448-457.
    173. Koenig, P., 2011. "Modelling Correlation in Carbon and Energy Markets," Cambridge Working Papers in Economics 1123, Faculty of Economics, University of Cambridge.
    174. Leon Vinokur, 2009. "Disposition in the Carbon Market and Institutional Constraints," Working Papers 652, Queen Mary University of London, School of Economics and Finance.
    175. Lai, Junyu & Wan, Justin W.L. & Zhang, Shuhua, 2019. "Numerical methods for two person games arising from transboundary pollution with emission permit trading," Applied Mathematics and Computation, Elsevier, vol. 350(C), pages 11-31.
    176. Xing Yang & Jun-long Mi & Yue Zeng & Wen-bo Wei, 2023. "Bilinear Integrable soliton solutions and carbon emission rights pricing," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 18, pages 131-143.
    177. Chevallier, Julien, 2011. "A model of carbon price interactions with macroeconomic and energy dynamics," Energy Economics, Elsevier, vol. 33(6), pages 1295-1312.
    178. Paredes, B.M. & Paredes, J.P. & García, R., 2023. "Integration of biocoal in distributed energy systems: A potential case study in the Spanish coal-mining regions," Energy, Elsevier, vol. 263(PC).
    179. Kumar, Surender & Managi, Shunsuke & Matsuda, Akimi, 2012. "Stock prices of clean energy firms, oil and carbon markets: A vector autoregressive analysis," Energy Economics, Elsevier, vol. 34(1), pages 215-226.
    180. Mohamed Amine Boutaba, 2009. "Dynamic linkages among European carbon markets," Economics Bulletin, AccessEcon, vol. 29(2), pages 499-511.
    181. Xintong Wu & Zhendong Li & Fangcheng Tang, 2022. "The Effect of Carbon Price Volatility on Firm Green Transitions: Evidence from Chinese Manufacturing Listed Firms," Energies, MDPI, vol. 15(20), pages 1-11, October.
    182. Jana Simakova, 2016. "The Gravity Modelling of the Relationship between Exchange Rate Volatility and Foreign Trade in Visegrad Countries," ACTA VSFS, University of Finance and Administration, vol. 10(1), pages 7-30.
    183. Benz, Eva & Trück, Stefan, 2009. "Modeling the price dynamics of CO2 emission allowances," Energy Economics, Elsevier, vol. 31(1), pages 4-15, January.
    184. Stefan, Martin & Wellenreuther, Claudia, 2020. "London vs. Leipzig: Price discovery of carbon futures during Phase III of the ETS," Economics Letters, Elsevier, vol. 188(C).
    185. Chevallier, Julien, 2011. "Nonparametric modeling of carbon prices," Energy Economics, Elsevier, vol. 33(6), pages 1267-1282.
    186. 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).
    187. Balietti, Anca Claudia, 2016. "Trader types and volatility of emission allowance prices. Evidence from EU ETS Phase I," Energy Policy, Elsevier, vol. 98(C), pages 607-620.
    188. Getachew Nigatu, 2016. "Assessing the effects of climate change policy on the volatility of carbon prices in reference to the Great Recession," Journal of Environmental Economics and Policy, Taylor & Francis Journals, vol. 5(2), pages 200-215, July.
    189. Crossland, Jarrod & Li, Bin & Roca, Eduardo, 2013. "Is the European Union Emissions Trading Scheme (EU ETS) informationally efficient? Evidence from momentum-based trading strategies," Applied Energy, Elsevier, vol. 109(C), pages 10-23.
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  16. Nikolaos Vlastakis & George Dotsis & Raphael Markellos, 2008. "Nonlinear modelling of European football scores using support vector machines," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 111-118.

    Cited by:

    1. Oscar Claveria & Enric Monte & Salvador Torra, 2014. "“A multivariate neural network approach to tourism demand forecasting”," AQR Working Papers 201410, University of Barcelona, Regional Quantitative Analysis Group, revised May 2014.
    2. S Lessmann & M-C Sung & J E V Johnson, 2011. "Towards a methodology for measuring the true degree of efficiency in a speculative market," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(12), pages 2120-2132, December.
    3. Hassanniakalager, Arman & Sermpinis, Georgios & Stasinakis, Charalampos & Verousis, Thanos, 2020. "A conditional fuzzy inference approach in forecasting," European Journal of Operational Research, Elsevier, vol. 283(1), pages 196-216.
    4. Chia-Hao Chang, 2021. "Construction of a Predictive Model for MLB Matches," Forecasting, MDPI, vol. 3(1), pages 1-11, February.
    5. Xianning Wang & Zhengang Ma & Jiusheng Chen & Jingrong Dong, 2023. "Can Regional Eco-Efficiency Forecast the Changes in Local Public Health: Evidence Based on Statistical Learning in China," IJERPH, MDPI, vol. 20(2), pages 1-19, January.
    6. Xianning Wang & Zhengang Ma & Jingrong Dong, 2021. "Quantitative Impact Analysis of Climate Change on Residents’ Health Conditions with Improving Eco-Efficiency in China: A Machine Learning Perspective," IJERPH, MDPI, vol. 18(23), pages 1-23, December.

  17. Raphael Markellos & Terence Mills, 2003. "Asset pricing dynamics," The European Journal of Finance, Taylor & Francis Journals, vol. 9(6), pages 533-556.

    Cited by:

    1. Gawon Yoon, 2005. "Stochastic Unit Roots in the Capital Asset Pricing Model?," Bulletin of Economic Research, Wiley Blackwell, vol. 57(4), pages 369-389, October.

  18. Raphael Markellos & Terence Mills, 2001. "Unit roots in the CAPM?," Applied Economics Letters, Taylor & Francis Journals, vol. 8(8), pages 499-502.

    Cited by:

    1. Raphael Markellos, 2004. "Diversification benefits in trading?," Applied Financial Economics, Taylor & Francis Journals, vol. 14(1), pages 13-17.
    2. Gawon Yoon, 2005. "Stochastic Unit Roots in the Capital Asset Pricing Model?," Bulletin of Economic Research, Wiley Blackwell, vol. 57(4), pages 369-389, October.
    3. Christoph Wegener & Tobias Basse, 2019. "The Stability of Factor Sensitivities of German Stock Market Sector Indices: Empirical Evidence and Some Thoughts about Practical Implications," JRFM, MDPI, vol. 12(3), pages 1-10, August.

  19. T. C. Mills & C. Siriopoulos & R. N. Markellos & D. Harizanis, 2000. "Seasonality in the Athens stock exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 10(2), pages 137-142.

    Cited by:

    1. Giovanis, Eleftherios, 2009. "The Month-of-the-year Effect: Evidence from GARCH models in Fifty Five Stock Markets," MPRA Paper 22328, University Library of Munich, Germany.
    2. Cristina Ortiz & Gloria Ramirez & Luis Vicente, 2010. "Quarterly return patterns in the Spanish stock market," Applied Financial Economics, Taylor & Francis Journals, vol. 20(23), pages 1829-1838.
    3. Al-Khazali, Osamah M. & Koumanakos, Evangelos P. & Pyun, Chong Soo, 2008. "Calendar anomaly in the Greek stock market: Stochastic dominance analysis," International Review of Financial Analysis, Elsevier, vol. 17(3), pages 461-474, June.
    4. Hamori, Shigeyuki, 2001. "Seasonality and stock returns: some evidence from Japan," Japan and the World Economy, Elsevier, vol. 13(4), pages 463-481, December.
    5. Nickolaos Tsangarakis, 2007. "The day-of-the-week effect in the Athens Stock Exchange (ASE)," Applied Financial Economics, Taylor & Francis Journals, vol. 17(17), pages 1447-1454.
    6. Ali M. Kutan & Tansu Aksoy, 2004. "Public Information Arrival and Emerging Markets Returns and Volatility," Multinational Finance Journal, Multinational Finance Journal, vol. 8(3-4), pages 227-245, september.
    7. Andrew Worthington, 2010. "The decline of calendar seasonality in the Australian stock exchange, 1958–2005," Annals of Finance, Springer, vol. 6(3), pages 421-433, July.
    8. Nikolaos Sariannidis & Evangelos Drimbetas, 2008. "Impact of international volatility and the introduction of Individual Stock Futures on the volatility of a small market," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 119-119.
    9. Talla Al-Deehani, 2006. "Seasonality as an unobservable component: the case of Kuwait stock market," Applied Financial Economics, Taylor & Francis Journals, vol. 16(6), pages 471-478.
    10. Dicle, Mehmet F. & Levendis, John, 2011. "Greek market efficiency and its international integration," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(2), pages 229-246, April.
    11. Drakos, Konstantinos & Kutan, Ali M., 2001. "Opposites attract: The case of Greek and Turkish financial markets," ZEI Working Papers B 06-2001, University of Bonn, ZEI - Center for European Integration Studies.
    12. Nikolaos Sariannidis & Polyxeni Papadopoulou & Evangelos Drimbetas, 2015. "Investigation of the Greek Stock Exchange volatility and the impact of foreign markets from 2007 to 2012," International Journal of Business and Economic Sciences Applied Research (IJBESAR), Democritus University of Thrace (DUTH), Kavala Campus, Greece, vol. 8(2), pages 55-68, October.
    13. Harshita & Shveta Singh & Surendra S. Yadav, 2019. "Unique Calendar Effects in the Indian Stock Market: Evidence and Explanations," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(1_suppl), pages 35-58, April.
    14. Alex Plastun & Xolani Sibande & Rangan Gupta & Mark E. Wohar, 2019. "Historical Evolution of Monthly Anomalies in International Stock Markets," Working Papers 201950, University of Pretoria, Department of Economics.
    15. Giovanis, Eleftherios, 2009. "Bootstrapping Fuzzy-GARCH Regressions on the Day of the Week Effect in Stock Returns: Applications in MATLAB," MPRA Paper 22326, University Library of Munich, Germany.
    16. Kate Phylaktis & Antonis Aristidou, 2007. "Security transaction taxes and financial volatility: Athens stock exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 17(18), pages 1455-1467.
    17. Floros, Ch. & Failler, P., 2004. "Seasonaility and Cointegration in the Fishing Industry of Conrwall," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 1(4), pages 27-52.
    18. Nisar, Sabahat & Asif, Rabia & Ali, Amjad, 2021. "Testing the Presence of the January Effect in Developed Economies," MPRA Paper 112548, University Library of Munich, Germany.
    19. Evangelos Drimbetas & Nikolaos Sariannidis & Nicos Porfiris, 2007. "The effect of derivatives trading on volatility of the underlying asset: evidence from the Greek stock market," Applied Financial Economics, Taylor & Francis Journals, vol. 17(2), pages 139-148.

  20. Raphael Markellos, 1999. "Investment strategy evaluation with cointegration," Applied Economics Letters, Taylor & Francis Journals, vol. 6(3), pages 177-179.

    Cited by:

    1. Raphael Markellos, 2004. "Diversification benefits in trading?," Applied Financial Economics, Taylor & Francis Journals, vol. 14(1), pages 13-17.

  21. Raphael Markellos & Costas Siriopoulos, 1997. "Diversification benefits in the smaller European stock markets," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 3(2), pages 142-153, May.

    Cited by:

    1. Raphael Markellos, 1999. "Investment strategy evaluation with cointegration," Applied Economics Letters, Taylor & Francis Journals, vol. 6(3), pages 177-179.
    2. Saif Siddiqui, 2009. "Stock Markets Integration: Examining Linkages between Selected World Markets," Vision, , vol. 13(1), pages 19-30, January.
    3. José Carlos Vides & Antonio A. Golpe & Jesús Iglesias, 2018. "How did the Sovereign debt crisis affect the Euro financial integration? A fractional cointegration approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 45(4), pages 685-706, November.
    4. Anil Sharma & Neha Seth, 2012. "Literature review of stock market integration: a global perspective," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 4(1), pages 84-122, April.

Books

  1. Mills,Terence C. & Markellos,Raphael N., 2008. "The Econometric Modelling of Financial Time Series," Cambridge Books, Cambridge University Press, number 9780521710091, January.

    Cited by:

    1. Nikolaos Vlastakis & George Dotsis & Raphael Markellos, 2008. "Nonlinear modelling of European football scores using support vector machines," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 111-118.
    2. Atilla Aydın, 2024. "Economic Factors Affecting the Collective Bargaining Agreement Coverage Rate in Turkey: Cointegration Approach," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul Journal of Economics-Istanbul Iktisat Dergisi, vol. 0(40), pages 134-150, June.
    3. Zoia, Maria Grazia & Biffi, Paola & Nicolussi, Federica, 2018. "Value at risk and expected shortfall based on Gram-Charlier-like expansions," Journal of Banking & Finance, Elsevier, vol. 93(C), pages 92-104.
    4. Bahram Adrangi & Arjun Chatrath & Madhuparna Kolay & Kambiz Raffiee, 2021. "Dynamic Responses of Standard and Poor’s Regional Bank Index to the U.S. Fear Index, VIX," JRFM, MDPI, vol. 14(3), pages 1-18, March.
    5. Noureddine Benlagha, 2014. "Volatility Linkage of Nominal and Index-linked Bond Returns: A Multivariate BEKK-GARCH Approach," Review of Economics & Finance, Better Advances Press, Canada, vol. 4, pages 49-60, November.
    6. Coletta Cuono Massimo & Busato Francesco, 2019. "U.S. REITs: A Financial Economics Review as of 2018," Real Estate Management and Valuation, Sciendo, vol. 27(2), pages 20-32, June.
    7. Kopnova, Elena & Rodionova, Liliya, 2020. "Globalization and socio-economic development in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 60, pages 80-101.
    8. Mircea ASANDULUI, 2012. "A Multi-Horizon Comparison Of Volatility Forecasts: An Application To Stock Options Traded At Euronext Exchange Amsterdam," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 10, pages 179-190, December.
    9. Duan, Qihong & Wei, Ying & Chen, Zhiping, 2014. "Relationship between the benchmark interest rate and a macroeconomic indicator," Economic Modelling, Elsevier, vol. 38(C), pages 220-226.
    10. Noureddine Benlagha & Wael Hemrit, 2018. "The Dynamic and Dependence of Takaful and Conventional Stock Return Behaviours: Evidence from the Insurance Industry in Saudi Arabia," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 25(4), pages 285-323, December.
    11. Samih Antoine Azar, 2018. "Forward Unbiasedness in the Short End of the Interest Rate Market," International Business Research, Canadian Center of Science and Education, vol. 11(2), pages 70-78, February.
    12. Daskalakis, George & Psychoyios, Dimitris & Markellos, Raphael N., 2009. "Modeling CO2 emission allowance prices and derivatives: Evidence from the European trading scheme," Journal of Banking & Finance, Elsevier, vol. 33(7), pages 1230-1241, July.
    13. Luca Bagnato & Valerio Potì & Maria Zoia, 2015. "The role of orthogonal polynomials in adjusting hyperpolic secant and logistic distributions to analyse financial asset returns," Statistical Papers, Springer, vol. 56(4), pages 1205-1234, November.
    14. Landajo, Manuel & Presno, María José, 2010. "Nonparametric pseudo-Lagrange multiplier stationarity testing," MPRA Paper 25659, University Library of Munich, Germany.
    15. Humala, Alberto & Rodriguez, Gabriel, 2010. "Some stylized facts of returns in the foreign exchange and stock markets in Peru," Working Papers 2010-017, Banco Central de Reserva del Perú.
    16. Herwartz, Helmut, 2015. "Are GARCH innovations independent - a long term assessment for the S&P 500," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113109, Verein für Socialpolitik / German Economic Association.
    17. Brian Opiyo Yalla & Ferdinand Okoth Othieno, 2023. "Modelling delayed correlation between interest rates and equity market returns," SN Business & Economics, Springer, vol. 3(2), pages 1-24, February.
    18. Noureddine Benlagha, 2014. "Dependence structure between nominal and index-linked bond returns: a bivariate copula and DCC-GARCH approach," Applied Economics, Taylor & Francis Journals, vol. 46(31), pages 3849-3860, November.
    19. Stefanescu, Razvan & Dumitriu, Ramona, 2015. "Conţinutul analizei seriilor de timp financiare [The Essentials of the Analysis of Financial Time Series]," MPRA Paper 67175, University Library of Munich, Germany.
    20. Joe Hirschberg & Jenny Lye, 2021. "Estimating risk premiums for regulated firms when accounting for reference-day variation and high-order moments of return volatility," Environment Systems and Decisions, Springer, vol. 41(3), pages 455-467, September.
    21. De Santis, Paola & Drago, Carlo, 2014. "Asimmetria del rischio sistematico dei titoli immobiliari americani: nuove evidenze econometriche [Systematic Risk Asymmetry of the American Real Estate Securities: Some New Econometric Evidence]," MPRA Paper 59381, University Library of Munich, Germany.
    22. Markellos, Raphael N. & Psychoyios, Dimitris, 2018. "Interest rate volatility and risk management: Evidence from CBOE Treasury options," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 190-202.
    23. Mircea ASANDULUI, 2012. "On forecasting stock options volatility: evidence from London international financial futures and options exchange," Anale. Seria Stiinte Economice. Timisoara, Faculty of Economics, Tibiscus University in Timisoara, vol. 0, pages 505-511, May.
    24. Andrew Harvey & Rutger-Jan Lange, 2015. "Modeling the Interactions between Volatility and Returns," Cambridge Working Papers in Economics 1518, Faculty of Economics, University of Cambridge.
    25. Azar, Samih Antoine, 2010. "Testing the Expectations Hypothesis on Corporate Bond Yields," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 6(1-2), pages 1-11, April.
    26. Torres-Rojo, Juan Manuel & Bahena-González, Roberto, 2018. "Scale invariant behavior of cropping area losses," Agricultural Systems, Elsevier, vol. 165(C), pages 33-43.
    27. Kundu, Srikanta & Paul, Amartya, 2022. "Effect of economic policy uncertainty on stock market return and volatility under heterogeneous market characteristics," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 597-612.
    28. Beata Szetela & Grzegorz Mentel & Stanislaw Gedek, 2016. "Dependency analysis between Bitcoin and selected global currencies," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 16, pages 133-144.
    29. Wugan Cai & Jiafeng Pan, 2017. "Stochastic Differential Equation Models for the Price of European CO 2 Emissions Allowances," Sustainability, MDPI, vol. 9(2), pages 1-12, February.
    30. Gurjeet Dhesi & Bilal Shakeel & Marcel Ausloos, 2021. "Modelling and forecasting the kurtosis and returns distributions of financial markets: irrational fractional Brownian motion model approach," Annals of Operations Research, Springer, vol. 299(1), pages 1397-1410, April.
    31. Slim Mseddi & Noureddine Benlagha, 2017. "An Analysis of Spillovers Between Islamic and Conventional Stock Bank Returns: Evidence from the GCC Countries," Multinational Finance Journal, Multinational Finance Journal, vol. 21(2), pages 91-132, June.
    32. Sánchez Lasheras, Fernando & de Cos Juez, Francisco Javier & Suárez Sánchez, Ana & Krzemień, Alicja & Riesgo Fernández, Pedro, 2015. "Forecasting the COMEX copper spot price by means of neural networks and ARIMA models," Resources Policy, Elsevier, vol. 45(C), pages 37-43.
    33. GRITLI, Mohamed Ilyes, 2018. "Quel avenir du dinar tunisien face à l'euro ? Prévision avec le modèle ARIMA [What future of the Tunisian dinar against the euro? Prediction with the ARIMA model]," MPRA Paper 83937, University Library of Munich, Germany.
    34. Rodrigo Alfaro & Natán Goldberger, 2012. "Cubrir o no Cubrir: ¿Ese es el Dilema?," Working Papers Central Bank of Chile 662, Central Bank of Chile.
    35. Abdelrehim, Neveen & Maltby, Josephine & Toms, Steven, 2012. "Accounting for power and control: The Anglo-Iranian oil nationalisation of 1951," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 23(7), pages 595-607.
    36. Manuel Landajo & María Presno, 2013. "Nonparametric pseudo-Lagrange multiplier stationarity testing," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 65(1), pages 125-147, February.
    37. Daskalakis, George & Symeonidis, Lazaros & Markellos, Raphael, 2009. "Does the weather affect stock market volatility?," MPRA Paper 34128, University Library of Munich, Germany.
    38. Jiang, Shi-jie & Nieh, Chien-Chung, 2012. "Dynamics of underwriting profits: Evidence from the U.S. insurance market," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 1-15.
    39. Herwartz, Helmut, 2017. "Stock return prediction under GARCH — An empirical assessment," International Journal of Forecasting, Elsevier, vol. 33(3), pages 569-580.
    40. Monge, Manuel & Gil-Alana, Luis A. & Pérez de Gracia, Fernando, 2017. "Crude oil price behaviour before and after military conflicts and geopolitical events," Energy, Elsevier, vol. 120(C), pages 79-91.
    41. Alebachew Abebe & Aboma Temesgen & Belete Kebede, 2023. "Modeling inflation rate factors on present consumption price index in Ethiopia: threshold autoregressive models approach," Future Business Journal, Springer, vol. 9(1), pages 1-12, December.
    42. Christopher Lynch & Benjamin Mestel, 2019. "Change-Point Analysis Of Asset Price Bubbles With Power-Law Hazard Function," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(07), pages 1-24, November.
    43. Koenig, P., 2011. "Modelling Correlation in Carbon and Energy Markets," Cambridge Working Papers in Economics 1123, Faculty of Economics, University of Cambridge.
    44. Mohammad Naim Azimi & Seyed Farhad Shahidzada, 2019. "A Correcting Note on Forecasting Conditional Variance Using ARIMA vs. GARCH Model," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 11(5), pages 145-145, May.
    45. Vilém Novák & Soheyla Mirshahi, 2021. "On the Similarity and Dependence of Time Series," Mathematics, MDPI, vol. 9(5), pages 1-14, March.
    46. Felicia Ramona Birău, 2012. "Stochastic Volatility Models For Financial Time Series Analysis," Anale. Seria Stiinte Economice. Timisoara, Faculty of Economics, Tibiscus University in Timisoara, vol. 0, pages 472-475, November.
    47. Bahram Adrangi & Arjun Chatrath & Joseph Macri & Kambiz Raffiee, 2019. "Dynamic Responses of Major Equity Markets to the US Fear Index," JRFM, MDPI, vol. 12(4), pages 1-23, September.
    48. John Pawley & Ernst Juerg Weber, 2011. "Investment And Technical Progress In The G7 Countries And Australia," Economics Discussion / Working Papers 11-10, The University of Western Australia, Department of Economics.
    49. Matyjaszek, Marta & Riesgo Fernández, Pedro & Krzemień, Alicja & Wodarski, Krzysztof & Fidalgo Valverde, Gregorio, 2019. "Forecasting coking coal prices by means of ARIMA models and neural networks, considering the transgenic time series theory," Resources Policy, Elsevier, vol. 61(C), pages 283-292.

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