Thanos Verousis

Personal Details

First Name:	Thanos
Middle Name:
Last Name:	Verousis
Suffix:
RePEc Short-ID:	pve95

Affiliation

Vlerick Business School

Gent, Belgium
http://www.vlerick.be/
RePEc:edi:vlgmsbe (more details at EDIRC)

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. Mengyu Zhang & Thanos Verousis & Iordanis Kalaitzoglou, 2022. "Information and the arrival rate of option trading volume," Post-Print hal-03648997, HAL.
   • Mengyu Zhang & Thanos Verousis & Iordanis Kalaitzoglou, 2022. "Information and the arrival rate of option trading volume," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(4), pages 605-644, April.

   Cited by:

   1. Kalaitzoglou, Iordanis Angelos & Ibrahim, Boulis Maher, 2023. "Market conditions and order-type preference," International Review of Financial Analysis, Elsevier, vol. 87(C).

2. Albert J. Menkveld & Anna Dreber & Felix Holzmeister & Juergen Huber & Magnus Johannesson & Michael Kirchler & Sebastian Neusüss & Michael Razen & Utz Weitzel & David Abad-Díaz & Menachem Abudy & To, 2021. "Non-Standard Errors," Working Paper Series, Social and Economic Sciences 2021-11, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
   • Albert J. Menkveld & Anna Dreber & Felix Holzmeister & Juergen Huber & Magnus Johannesson & Michael Kirchler & Sebastian Neussüs & Michael Razen & Utz Weitzel & Christian Brownlees & Javier Gil-Bazo, 2021. "Non-Standard Errors," Working Papers 1303, Barcelona School of Economics.
   • Menkveld, Albert J. & Dreber, Anna & Holzmeister, Felix & Huber, Jürgen & Johannesson, Magnus & Kirchler, Michael & Neusüss, Sebastian & Razen, Michael & Weitzel, Utz, 2021. "Non-standard errors," IWH Discussion Papers 11/2021, Halle Institute for Economic Research (IWH).
   • Albert J. et al. Menkveld, 2021. "Non-Standard Errors," CESifo Working Paper Series 9453, CESifo.
   • Albert J Menkveld & Anna Dreber & Felix Holzmeister & Juergen Huber & Magnus Johannesson & Michael Kirchler & Sebastian Neusüss & Michael Razen & Utz Weitzel & Gunther Capelle-Blancard & David Abad-Dí, 2021. "Non-Standard Errors," Post-Print halshs-03500882, HAL.
   • Menkveld, A. & Dreber, A. & Holzmeister, F. & Huber, J. & Johannesson, M. & Kirchler, M. & Neusüss, S. & Razen, M. & Neusüss, S. & Neusüss, S., 2021. "Non-Standard Errors," Cambridge Working Papers in Economics 2182, Faculty of Economics, University of Cambridge.
   • Menkveld, Albert J. & Dreber, Anna & Holzmeister, Felix & Huber, Juergen & Johannesson, Magnus & Hasse, Jean-Baptiste & e.a.,, 2023. "Non-Standard Errors," LIDAM Reprints LFIN 2023002, Université catholique de Louvain, Louvain Finance (LFIN).
   • Menkveld, Albert J. & Dreber, Anna & Holzmeister, Felix & Huber, Jürgen & Johannesson, Magnus & Kirchler, Michael & Neusüss, Sebastian & Razen, Michael & Weitzel, Utz, 2021. "Non-standard errors," SAFE Working Paper Series 327, Leibniz Institute for Financial Research SAFE.
   • Albert J. Menkveld & Anna Dreber & Felix Holzmeister & Jürgen Huber & Magnus Johannesson & Michael Kirchler & Sebastian Neusüss & Michael Razen & Utz Weitzel & David Abad-Dí­az & Menachem Abudy & Tobi, 2021. "Non-Standard Errors," Working Papers 2021-31, Faculty of Economics and Statistics, Universität Innsbruck.
   • Wolff, Christian & Menkveld, Albert J. & Dreber, Anna & Holzmeister, Felix & Huber, Juergen & Johannesson, Magnus & Kirchler, Michael & Neusüess, Sebastian & Razen, Michael & Weitzel, Utz, 2021. "Non-Standard Errors," CEPR Discussion Papers 16751, C.E.P.R. Discussion Papers.
   • Albert J. Menkveld & Anna Dreber & Felix Holzmeister & Juergen Huber & Magnus Johannesson & Michael Kirchler & Sebastian Neussüs & Michael Razen & Utz Weitzel & Christian T. Brownlees & Javier Gil-Baz, 2021. "Non-standard errors," Economics Working Papers 1807, Department of Economics and Business, Universitat Pompeu Fabra.
   • Menkveld, Albert J. & Dreber, Anna & Holzmeister, Felix & Huber, Juergen & Johannesson, Magnus & Kirchler, Michael & Neusüss, Sebastian & Razen, Michael & Weitzel, Utz & Abad-Díaz, David & Abudy, Mena, 2021. "Non-Standard Errors," Working Papers 2021:17, Lund University, Department of Economics.
   • Albert J. Menkveld & Anna Dreber & Felix Holzmeister & Juergen Huber & Magnus Johannesson & Michael Kirchler & Sebastian Neusüss & Michael Razen & Utz Weitzel & Edwin Baidoo & Michael Frömmel & et al, 2021. "Non-Standard Errors," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 21/1032, Ghent University, Faculty of Economics and Business Administration.
   • Francesco Franzoni & Roxana Mihet & Markus Leippold & Per Ostberg & Olivier Scaillet & Norman Schürhoff & Oksana Bashchenko & Nicola Mano & Michele Pelli, 2022. "Non-Standard Errors," Swiss Finance Institute Research Paper Series 22-09, Swiss Finance Institute.
   • Moinas, Sophie & Declerck, Fany & Menkveld, Albert J. & Dreber, Anna, 2023. "Non-Standard Errors," TSE Working Papers 23-1451, Toulouse School of Economics (TSE).
   • Ferrara, Gerardo & Jurkatis, Simon, 2021. "Non-standard errors," Bank of England working papers 955, Bank of England.
   • Albert J Menkveld & Anna Dreber & Felix Holzmeister & Juergen Huber & Magnus Johannesson & Michael Kirchler & Sebastian Neusüss & Michael Razen & Utz Weitzel & Gunther Capelle-Blancard & David Abad-Dí, 2021. "Non-Standard Errors," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03500882, HAL.
   • Ciril Bosch-Rosa & Bernhard Kassner, 2023. "Non-Standard Errors," Rationality and Competition Discussion Paper Series 385, CRC TRR 190 Rationality and Competition.
   • Menkveld, A. & Dreber, A. & Holzmeister, F. & Huber, J. & Johannesson, M. & Kirchler, M. & Neusüss, S. & Razen, M. & Neusüss, S. & Neusüss, S., 2021. "Non-Standard Errors," Janeway Institute Working Papers 2112, Faculty of Economics, University of Cambridge.
   • Albert J. Menkveld & Anna Dreber & Félix Holzmeister & Juergen Huber & Magnus Johannesson & Michael Kirchler & Sebastian Neusüss & Michael Razen & Utz Weitzel & Gunther Capelle-Blancard, 2021. "Non-Standard Errors," Documents de travail du Centre d'Economie de la Sorbonne 21033, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.

   Cited by:

   1. Guillaume Coqueret, 2023. "Forking paths in financial economics," Papers 2401.08606, arXiv.org.
   2. Fišar, Miloš & Greiner, Ben & Huber, Christoph & Katok, Elena & Ozkes, Ali & Collaboration, Management Science Reproducibility, 2023. "Reproducibility in Management Science," OSF Preprints mydzv, Center for Open Science.
      • Miloš Fišar & Ben Greiner & Christoph Huber & Elena Katok & Ali I Ozkes & The Management Science Reproducibility Collaboration, 2024. "Reproducibility in Management Science," Post-Print hal-04370984, HAL.
      • Fišar, Miloš & Greiner, Ben & Huber, Christoph & Katok, Elena & Ozkes, Ali & Management Science Reproducibility Collaboration, 2023. "Reproducibility in Management Science," Department for Strategy and Innovation Working Paper Series 03/2023, WU Vienna University of Economics and Business.
   3. Christoph Huber & Christian König-Kersting, 2022. "Experimenting with Financial Professionals," Working Papers 2022-07, Faculty of Economics and Statistics, Universität Innsbruck.
   4. Dreber, Anna & Johannesson, Magnus, 2023. "A framework for evaluating reproducibility and replicability in economics," I4R Discussion Paper Series 38, The Institute for Replication (I4R).
      • Dreber, Anna & Johannesson, Magnus, 2023. "A framework for evaluating reproducibility and replicability in economics," Ruhr Economic Papers 1055, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
   5. Müller, Isabella & Noth, Felix & Tonzer, Lena, 2022. "A note on the use of syndicated loan data," IWH Discussion Papers 17/2022, Halle Institute for Economic Research (IWH).
      • Isabella Müller & Felix Noth & Lena Tonzer, 2022. "A Note on the Use of Syndicated Loan Data," Tinbergen Institute Discussion Papers 22-064/IV, Tinbergen Institute.
   6. Christophe Pérignon & Olivier Akmansoy & Christophe Hurlin & Anna Dreber & Felix Holzmeister & Juergen Huber & Magnus Johanneson & Michael Kirchler & Albert Menkveld & Michael Razen & Utz Weitzel, 2022. "Reproducibility of Empirical Results: Evidence from 1,000 Tests in Finance," Working Papers hal-03810013, HAL.
   7. Breznau, Nate & Rinke, Eike Mark & Wuttke, Alexander & Nguyen, Hung H. V. & Adem, Muna & Adriaans, Jule & Alvarez-Benjumea, Amalia & Andersen, Henrik K. & Auer, Daniel & Azevedo, Flavio & Bahnsen, Oke, 2022. "Observing many researchers using the same data and hypothesis reveals a hidden universe of uncertainty," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 119(44), pages 1-8.
      • Nate Breznau & Eike Mark Rinke & Alexander Wuttke & Hung H. V. Nguyen & Muna Adem & Jule Adriaans & Amalia Alvarez-Benjumea & Henrik K. Andersen & Daniel Auer & Flavio Azevedo & Oke Bahnsen & Dave Bal, 2022. "Observing many researchers using the same data and hypothesis reveals a hidden universe of uncertainty," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 119(44), pages 2203150119-, November.
      • Breznau, Nate & Rinke, Eike Mark & Wuttke, Alexander & Nguyen, Hung H V & Adem, Muna & Adriaans, Jule & Alvarez-Benjumea, Amalia & Andersen, Henrik K & Auer, Daniel & Azevedo, Flavio & Bahnsen, Oke & , 2022. "Observing many researchers using the same data and hypothesis reveals a hidden universe of uncertainty," Other publications TiSEM ddeb26bf-71be-4ea6-a7b9-c, Tilburg University, School of Economics and Management.
      • Breznau, Nate & Rinke, Eike Mark & Wuttke, Alexander & Nguyen, Hung H.V. & Adem, Muna & Adriaans, Jule & Alvarez-Benjumea, Amalia & Andersen, Henrik K. & Auer, Daniel & Azevedo, Flavio & Bahnsen, Oke , 2022. "Observing many researchers using the same data and hypothesis reveals a hidden universe of uncertainty," LSE Research Online Documents on Economics 117278, London School of Economics and Political Science, LSE Library.
   8. Stephen A. Gorman & Frank J. Fabozzi, 2023. "Alternative risk premium: specification noise," Journal of Asset Management, Palgrave Macmillan, vol. 24(6), pages 459-473, October.

Articles

1. Chen, Louisa & Verousis, Thanos & Wang, Kai & Zhou, Zhiping, 2023. "Financial stress and commodity price volatility," Energy Economics, Elsevier, vol. 125(C).

   Cited by:

   1. Ramesh Adhikari & Kyle J. Putnam, 2024. "Financial Market Stress and Commodity Returns: A Dynamic Approach," Commodities, MDPI, vol. 3(1), pages 1-23, January.
   2. Bossman, Ahmed & Gubareva, Mariya & Teplova, Tamara, 2023. "Asymmetric effects of market uncertainties on agricultural commodities," Energy Economics, Elsevier, vol. 127(PB).

2. Mengyu Zhang & Thanos Verousis & Iordanis Kalaitzoglou, 2022. "Information and the arrival rate of option trading volume," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(4), pages 605-644, April.
   • Mengyu Zhang & Thanos Verousis & Iordanis Kalaitzoglou, 2022. "Information and the arrival rate of option trading volume," Post-Print hal-03648997, HAL.
   See citations under working paper version above.
3. Wang, Lipeng & Zhang, Mengyu & Verousis, Thanos, 2021. "The road to economic recovery: Pandemics and innovation," International Review of Financial Analysis, Elsevier, vol. 75(C).

   Cited by:

   1. Tran, Yen & Vu, Huong & Klusak, Patrycja & Kraemer, Moritz & Hoang, Tri, 2021. "Sovereign credit ratings during the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 78(C).

4. Bernales, Alejandro & Verousis, Thanos & Voukelatos, Nikolaos, 2020. "Do investors follow the herd in option markets?," Journal of Banking & Finance, Elsevier, vol. 119(C).

   Cited by:

   1. Juho Kanniainen & Martin Magris, 2018. "Option market (in)efficiency and implied volatility dynamics after return jumps," Papers 1810.12200, arXiv.org.
   2. Ren, Boru & Lucey, Brian, 2023. "Herding in the Chinese renewable energy market: Evidence from a bootstrapping time-varying coefficient autoregressive model," Energy Economics, Elsevier, vol. 119(C).
   3. Sumit Saurav & Sobhesh Kumar Agarwalla & Jayanth R. Varma, 2023. "Belief distortion near 52W high and low: Evidence from Indian equity options market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(11), pages 1531-1558, November.
   4. Alejandro Bernales & Thanos Verousis & Nikolaos Voukelatos & Mengyu Zhang, 2020. "What do we know about individual equity options?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 67-91, January.
   5. Yarovaya, Larisa & Matkovskyy, Roman & Jalan, Akanksha, 2021. "The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
      • Larisa Yarovaya & Roman Matkovskyy & Akanksha Jalan, 2021. "The effects of a “black swan” event (COVID-19) on herding behavior in cryptocurrency markets," Post-Print hal-03512931, HAL.
   6. Nikolaos Voukelatos & Thanos Verousis, 2019. "Option‐implied information and stock herding," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 1429-1442, October.

5. 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.

   Cited by:

   1. Federico Fioravanti & Fernando Delbianco & Fernando Tohmé, 2023. "The relative importance of ability, luck and motivation in team sports: a Bayesian model of performance in the English Rugby Premiership," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(3), pages 715-731, September.

6. Alejandro Bernales & Thanos Verousis & Nikolaos Voukelatos & Mengyu Zhang, 2020. "What do we know about individual equity options?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 67-91, January.

   Cited by:

   1. Tom Adams & Thaddeus Neururer, 2020. "Earnings announcement timing, uncertainty, and volatility risk premiums," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(10), pages 1603-1630, October.

7. Nikolaos Voukelatos & Thanos Verousis, 2019. "Option‐implied information and stock herding," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 1429-1442, October.

   Cited by:

   1. Fei, Tianlun & Liu, Xiaoquan, 2021. "Herding and market volatility," International Review of Financial Analysis, Elsevier, vol. 78(C).
   2. Philippas, Dionisis & Philippas, Nikolaos & Tziogkidis, Panagiotis & Rjiba, Hatem, 2020. "Signal-herding in cryptocurrencies," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
   3. Yensen Ni & Yirung Cheng & Yulu Liao & Paoyu Huang, 2022. "Does board structure affect stock price overshooting informativeness measured by stochastic oscillator indicators?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 2290-2302, April.
   4. Ah Mand, Abdollah & Sifat, Imtiaz, 2021. "Static and regime-dependent herding behavior: An emerging market case study," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
   5. Syed Riaz Mahmood Ali, 2022. "Herding in different states and terms: evidence from the cryptocurrency market," Journal of Asset Management, Palgrave Macmillan, vol. 23(4), pages 322-336, July.

8. Thanos Verousis & Nikolaos Voukelatos, 2018. "Cross-sectional dispersion and expected returns," Quantitative Finance, Taylor & Francis Journals, vol. 18(5), pages 813-826, May.

   Cited by:

   1. Adam Zaremba & Jacob Koby Shemer, 2018. "Price-Based Investment Strategies," Springer Books, Springer, number 978-3-319-91530-2, September.
   2. Eriksen, Jonas N., 2019. "Cross-sectional return dispersion and currency momentum," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 91-108.
   3. Dolinar Denis & Zoričić Davor & Golubić Zrinka Lovretin, 2019. "Application of semi-deviation as a proxy for the expected return estimation in the Croatian equity market," Croatian Review of Economic, Business and Social Statistics, Sciendo, vol. 5(1), pages 9-20, May.
   4. Calès, Ludovic & Chalkis, Apostolos & Emiris, Ioannis Z., 2019. "On the cross-sectional distribution of portfolio returns," Working Papers 2019-11, Joint Research Centre, European Commission.
   5. Ludovic Cal`es & Apostolos Chalkis & Ioannis Z. Emiris, 2021. "The cross-sectional distribution of portfolio returns and applications," Papers 2105.06573, arXiv.org.

9. Bernales, Alejandro & Cañón, Carlos & Verousis, Thanos, 2018. "Bid–ask spread and liquidity searching behaviour of informed investors in option markets," Finance Research Letters, Elsevier, vol. 25(C), pages 96-102.

   Cited by:

   1. Bae, Kwangil & Lee, Soonhee, 2022. "Prices of derivative warrants considering their market characteristics and short-selling costs of underlying assets," Finance Research Letters, Elsevier, vol. 45(C).
   2. Alejandro Bernales & Thanos Verousis & Nikolaos Voukelatos & Mengyu Zhang, 2020. "What do we know about individual equity options?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 67-91, January.
   3. Yossi Shvimer & Avi Herbon, 2022. "Non-tradability interval for heterogeneous rational players in the option markets," Computational Management Science, Springer, vol. 19(1), pages 133-157, January.

10. Thanos Verousis & Pietro Perotti & Georgios Sermpinis, 2018. "One size fits all? High frequency trading, tick size changes and the implications for exchanges: market quality and market structure considerations," Review of Quantitative Finance and Accounting, Springer, vol. 50(2), pages 353-392, February.

    Cited by:

    1. Marks, Joseph & Yezegel, Ari, 2018. "Do aggregate analyst recommendations predict market returns in international markets?," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 234-254.
    2. Chakrabarty, Bidisha & Cox, Justin & Upson, James E., 2022. "Tick Size Pilot Program and price discovery in U.S. stock markets," Journal of Financial Markets, Elsevier, vol. 59(PB).
    3. Gangadhar Nayak & Amit Kumar Singh & Dilip Senapati, 2021. "Computational Modeling of Non-Gaussian Option Price Using Non-extensive Tsallis’ Entropy Framework," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1353-1371, April.
    4. Grimstvedt Meling, Tom & Ødegård, Bernt Arne, 2017. "Tick Size Wars, High Frequency Trading, and Market Quality," Working Papers in Economics 5/17, University of Bergen, Department of Economics.
    5. Gianluca Piero Maria Virgilio, 2019. "High-frequency trading: a literature review," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(2), pages 183-208, June.
    6. Nor Elliany Hawa Ibrahim & Kamarun Nisham Taufil Mohd & Karren Lee-Hwei Khaw, 2019. "Effect of Standardization of Trading Board Lot on Abnormal Liquidity in Malaysian Stock Market," Capital Markets Review, Malaysian Finance Association, vol. 27(2), pages 89-102.
    7. Sunil S. Poshakwale & Jude W. Taunson & Anandadeep Mandal & Michael Theobald, 2019. "Lower tick sizes and futures pricing efficiency: evidence from the emerging Malaysian market," Review of Quantitative Finance and Accounting, Springer, vol. 53(4), pages 1135-1163, November.
    8. Xinhui Yang & Jie Zhang & Qing Ye, 2020. "Tick size and market quality: Simulations based on agent‐based artificial stock markets," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 27(3), pages 125-141, July.
    9. Kobana Abukari & Isaac Otchere, 2020. "Has stock exchange demutualization improved market quality? International evidence," Review of Quantitative Finance and Accounting, Springer, vol. 55(3), pages 901-934, October.

11. Andrikopoulos, Panagiotis & Kallinterakis, Vasileios & Leite Ferreira, Mario Pedro & Verousis, Thanos, 2017. "Intraday herding on a cross-border exchange," International Review of Financial Analysis, Elsevier, vol. 53(C), pages 25-36.

    Cited by:

    1. Fei, Tianlun & Liu, Xiaoquan, 2021. "Herding and market volatility," International Review of Financial Analysis, Elsevier, vol. 78(C).
    2. Gavriilidis, Konstantinos & Kallinterakis, Vasileios & Öztürkkal, Belma, 2020. "Does mood affect institutional herding?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 26(C).
    3. Al-Jarhi, Mabid Ali M. M., 2016. "An Economic Theory of Islamic Finance Regulation," Islamic Economic Studies, The Islamic Research and Training Institute (IRTI), vol. 24, pages 1-44.
       • Al-Jarhi, Mabid, 2015. "An Economic Theory of Islamic Finance Regulation," MPRA Paper 72689, University Library of Munich, Germany, revised 01 Mar 2016.
    4. Bahcivan, Hulusi & Karahan, Cenk C., 2022. "High frequency correlation dynamics and day-of-the-week effect: A score-driven approach in an emerging market stock exchange," International Review of Financial Analysis, Elsevier, vol. 80(C).
    5. Demirer, Rıza & Leggio, Karyl B. & Lien, Donald, 2019. "Herding and flash events: Evidence from the 2010 Flash Crash," Finance Research Letters, Elsevier, vol. 31(C).
    6. Wang, Xinru & Kim, Maria H. & Suardi, Sandy, 2022. "Herding and China's market-wide circuit breaker," Journal of Banking & Finance, Elsevier, vol. 141(C).
    7. Paramita Mukherjee & Sweta Tiwari, 2022. "Trading Behaviour of Foreign Institutional Investors: Evidence from Indian Stock Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(4), pages 605-629, December.
    8. Stavroyiannis, Stavros & Babalos, Vassilios, 2019. "Herding behavior in cryptocurrencies revisited: Novel evidence from a TVP model," Journal of Behavioral and Experimental Finance, Elsevier, vol. 22(C), pages 57-63.
    9. Andrikopoulos, Panagiotis & Gebka, Bartosz & Kallinterakis, Vasileios, 2021. "Regulatory mood-congruence and herding: Evidence from cannabis stocks," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 842-864.
    10. Nikolaos Voukelatos & Thanos Verousis, 2019. "Option‐implied information and stock herding," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(4), pages 1429-1442, October.

12. Rajesh Pathak & Thanos Verousis & Yogesh Chauhan, 2017. "Information Content of Implicit Spot Prices Embedded in Single Stock Future Prices: Evidence from Indian Market," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 16(2), pages 169-187, August.

    Cited by:

    1. Zhi Dong & Tien Foo Sing, 2021. "Do Investors Overreact for Property and Financial Service Sectors?," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 20(1), pages 79-123, April.

13. Thanos Verousis & Owain ap Gwilym & Nikolaos Voukelatos, 2016. "The Impact of a Premium‐Based Tick Size on Equity Option Liquidity," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(4), pages 397-417, April.

    Cited by:

    1. Alejandro Bernales & Thanos Verousis & Nikolaos Voukelatos & Mengyu Zhang, 2020. "What do we know about individual equity options?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 67-91, January.
    2. Thanos Verousis & Pietro Perotti & Georgios Sermpinis, 2018. "One size fits all? High frequency trading, tick size changes and the implications for exchanges: market quality and market structure considerations," Review of Quantitative Finance and Accounting, Springer, vol. 50(2), pages 353-392, February.
    3. Yamamoto, Ryuichi, 2020. "Limit order submission risks, order choice, and tick size," Pacific-Basin Finance Journal, Elsevier, vol. 59(C).

14. Thanos Verousis & Owain ap Gwilym & Nikolaos Voukelatos, 2016. "Commonality in equity options liquidity: evidence from European Markets," The European Journal of Finance, Taylor & Francis Journals, vol. 22(12), pages 1204-1223, September.

    Cited by:

    1. Alejandro Bernales & Thanos Verousis & Nikolaos Voukelatos & Mengyu Zhang, 2020. "What do we know about individual equity options?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 67-91, January.
    2. Benzennou, Bouchra & ap Gwilym, Owain & Williams, Gwion, 2020. "Commonality in liquidity across options and stock futures markets," Finance Research Letters, Elsevier, vol. 32(C).

15. Thanos Verousis & Owain ap Gwilym & XiaoHua Chen, 2016. "The intraday determination of liquidity in the NYSE LIFFE equity option markets," The European Journal of Finance, Taylor & Francis Journals, vol. 22(12), pages 1164-1188, September.

    Cited by:

    1. Alejandro Bernales & Thanos Verousis & Nikolaos Voukelatos & Mengyu Zhang, 2020. "What do we know about individual equity options?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 67-91, January.

16. Charalampos Stasinakis & Georgios Sermpinis & Ioannis Psaradellis & Thanos Verousis, 2016. "Krill-Herd Support Vector Regression and heterogeneous autoregressive leverage: evidence from forecasting and trading commodities," Quantitative Finance, Taylor & Francis Journals, vol. 16(12), pages 1901-1915, December.

    Cited by:

    1. Gary S. Anderson & Alena Audzeyeva, 2019. "A Coherent Framework for Predicting Emerging Market Credit Spreads with Support Vector Regression," Finance and Economics Discussion Series 2019-074, Board of Governors of the Federal Reserve System (U.S.).
    2. Filipa Fernandes & Charalampos Stasinakis & Zivile Zekaite, 2019. "Forecasting government bond spreads with heuristic models: evidence from the Eurozone periphery," Annals of Operations Research, Springer, vol. 282(1), pages 87-118, November.
    3. Erhard Reschenhofer & Manveer Kaur Mangat & Christian Zwatz & Sándor Guzmics, 2020. "Evaluation of current research on stock return predictability," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 334-351, March.

17. Georgios Sermpinis & Thanos Verousis & Konstantinos Theofilatos, 2016. "Adaptive Evolutionary Neural Networks for Forecasting and Trading without a Data‐Snooping Bias," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(1), pages 1-12, January.

    Cited by:

    1. Flavio Barboza & Geraldo Nunes Silva & José Augusto Fiorucci, 2023. "A review of artificial intelligence quality in forecasting asset prices," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1708-1728, November.
    2. Kang, Haijun & Zong, Xiangyu & Wang, Jianyong & Chen, Haonan, 2023. "Binary gravity search algorithm and support vector machine for forecasting and trading stock indices," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 507-526.
    3. Sermpinis, Georgios & Stasinakis, Charalampos & Rosillo, Rafael & de la Fuente, David, 2017. "European Exchange Trading Funds Trading with Locally Weighted Support Vector Regression," European Journal of Operational Research, Elsevier, vol. 258(1), pages 372-384.
    4. Joanna Bruzda, 2020. "The wavelet scaling approach to forecasting: Verification on a large set of Noisy data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 353-367, April.
    5. Joseph Zhi Bin Ling & Albert K. Tsui & Zhaoyong Zhang, 2021. "Trading Macro-Cycles of Foreign Exchange Markets Using Hybrid Models," Sustainability, MDPI, vol. 13(17), pages 1-20, September.

18. Meng, Lei & Verousis, Thanos & ap Gwilym, Owain, 2013. "A substitution effect between price clustering and size clustering in credit default swaps," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 24(C), pages 139-152.

    Cited by:

    1. Palao, Fernando & Pardo, Ángel, 2014. "What makes carbon traders cluster their orders?," Energy Economics, Elsevier, vol. 43(C), pages 158-165.
    2. Chen, Tao, 2019. "Trade-size clustering and price efficiency," Japan and the World Economy, Elsevier, vol. 49(C), pages 195-203.
    3. Berk, Ales S. & Cummins, Mark & Dowling, Michael & Lucey, Brian M., 2017. "Psychological price barriers in frontier equities," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 49(C), pages 1-14.
    4. Christos Alexakis & Mark Cummins & Michael Dowling & Vasileios Pappas, 2018. "A high-frequency analysis of price resolution and pricing barriers in equities on the adoption of a new currency," Applied Economics, Taylor & Francis Journals, vol. 50(36), pages 3949-3965, August.
    5. Christos Alexakis & Mark Cummins & Michael Dowling & Vasileios Pappas, 2018. "A High-Frequency Analysis of Price Resolution and Pricing Barriers in Equities on the Adoption of a New Currency," Post-Print hal-01994666, HAL.
    6. Vladim'ir Hol'y & Petra Tomanov'a, 2021. "Modeling Price Clustering in High-Frequency Prices," Papers 2102.12112, arXiv.org, revised Mar 2021.
    7. Garvey, Ryan & Wu, Fei, 2014. "Clustering of intraday order-sizes by uninformed versus informed traders," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 222-235.
    8. Tao Chen & Andreas Karathanasopoulos & Stanley Iat-Meng Ko & Chia Chun Lo, 2020. "Lucky lots and unlucky investors," Review of Quantitative Finance and Accounting, Springer, vol. 54(2), pages 735-751, February.

19. Verousis, Thanos & ap Gwilym, Owain, 2013. "Trade size clustering and the cost of trading at the London Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 27(C), pages 91-102.

    Cited by:

    1. Palao, Fernando & Pardo, Ángel, 2014. "What makes carbon traders cluster their orders?," Energy Economics, Elsevier, vol. 43(C), pages 158-165.
    2. Donglian Ma & Hisashi Tanizaki, 2022. "Intraday patterns of price clustering in Bitcoin," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
    3. Chen, Tao, 2019. "Trade-size clustering and price efficiency," Japan and the World Economy, Elsevier, vol. 49(C), pages 195-203.
    4. Narayan, Paresh Kumar & Smyth, Russell, 2011. "Has political instability contributed to price clustering on Fiji's stock market?," Working Papers fe_2011_03, Deakin University, Department of Economics.
       • Narayan, Paresh Kumar & Smyth, Russell, 2013. "Has political instability contributed to price clustering on Fiji's stock market?," Journal of Asian Economics, Elsevier, vol. 28(C), pages 125-130.
    5. Lin William Cong & Xi Li & Ke Tang & Yang Yang, 2022. "Crypto Wash Trading," NBER Working Papers 30783, National Bureau of Economic Research, Inc.
       • Lin William Cong & Xi Li & Ke Tang & Yang Yang, 2021. "Crypto Wash Trading," Papers 2108.10984, arXiv.org.
    6. Fernando Palao & Ángel Pardo Tornero, 2012. "When size matters: Clustering in the European Carbon Market," Working Papers. Serie EC 2012-10, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    7. Mishra, Ajay Kumar & Tripathy, Trilochan, 2018. "Price and trade size clustering: Evidence from the national stock exchange of India," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 63-72.

20. Owain ap Gwilym & Thanos Verousis, 2013. "Price Clustering in Individual Equity Options: Moneyness, Maturity, and Price Level," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(1), pages 55-76, January.

    Cited by:

    1. Meng, Lei & Verousis, Thanos & ap Gwilym, Owain, 2013. "A substitution effect between price clustering and size clustering in credit default swaps," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 24(C), pages 139-152.
    2. Alejandro Bernales & Thanos Verousis & Nikolaos Voukelatos & Mengyu Zhang, 2020. "What do we know about individual equity options?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 67-91, January.
    3. Li, Xin & Li, Shenghong & Xu, Chong, 2020. "Price clustering in Bitcoin market—An extension," Finance Research Letters, Elsevier, vol. 32(C).
    4. Vladim'ir Hol'y & Petra Tomanov'a, 2021. "Modeling Price Clustering in High-Frequency Prices," Papers 2102.12112, arXiv.org, revised Mar 2021.

21. ap Gwilym, Owain & Verousis, Thanos, 2010. "Price clustering and underpricing in the IPO aftermarket," International Review of Financial Analysis, Elsevier, vol. 19(2), pages 89-97, March.

    Cited by:

    1. Narayan, Paresh Kumar & Narayan, Seema & Popp, Stephan & D'Rosario, Michael, 2011. "Share price clustering in Mexico," International Review of Financial Analysis, Elsevier, vol. 20(2), pages 113-119, April.
    2. Verousis, Thanos & ap Gwilym, Owain, 2013. "Trade size clustering and the cost of trading at the London Stock Exchange," International Review of Financial Analysis, Elsevier, vol. 27(C), pages 91-102.
    3. Dorsman, André & Gounopoulos, Dimitrios, 2013. "European Sovereign Debt Crisis and the performance of Dutch IPOs," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 308-319.
    4. Jeon, Jin Q. & Lee, Cheolwoo, 2015. "A new measure for heated negotiation in the IPO syndicate," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 278-304.
    5. Luo, Changqing & Ouyang, Zisheng, 2014. "Estimating IPO pricing efficiency by Bayesian stochastic frontier analysis: The ChiNext market case," Economic Modelling, Elsevier, vol. 40(C), pages 152-157.
    6. Narayan, Paresh Kumar, 2022. "Evidence of oil market price clustering during the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 80(C).

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1. NEP-SEA: South East Asia (1) 2021-12-06

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