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Thanos Verousis

Personal Details

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

Affiliation

Essex Business School
University of Essex

Colchester, United Kingdom
http://www.essex.ac.uk/ebs/
RePEc:edi:daessuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Chen, XiaoHua & Solomon, Edna M. & Verousis, Thanos, 2015. "Asymmetric post-announcement drift to good and bad news: evidence from voluntary trading disclosures in the Chinese stock market," Greenwich Papers in Political Economy 13795, University of Greenwich, Greenwich Political Economy Research Centre.

Articles

  1. 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.
  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. 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.
  4. Thanos Verousis & Nikolaos Voukelatos, 2018. "Cross-sectional dispersion and expected returns," Quantitative Finance, Taylor & Francis Journals, vol. 18(5), pages 813-826, May.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. Antoaneta Sergueiva & V. L. Raju Chinthalapati & Thanos Verousis & Louisa Chen, 2017. "Multichannel contagion and systemic stabilisation strategies in interconnected financial markets," Quantitative Finance, Taylor & Francis Journals, vol. 17(12), pages 1885-1904, December.
  10. 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.
  11. 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.
  12. XiaoHua Chen & Edna Solomon & Thanos Verousis, 2016. "Asymmetric Post-Announcement Drift to Good and Bad News: Evidence from Voluntary Trading Disclosures in the Chinese Stock Market," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 23(2), pages 183-198, July.
  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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. Thanos Verousis & Owain ap Gwilym, 2011. "Return reversals and the compass rose: insights from high frequency options data," The European Journal of Finance, Taylor & Francis Journals, vol. 17(9-10), pages 883-896, November.
  20. 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.

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

    Sorry, no citations of working papers recorded.

Articles

  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.

    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.

  2. 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. 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).
    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. 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, January.
    2. Eriksen, Jonas N., 2019. "Cross-sectional return dispersion and currency momentum," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 91-108.
    3. 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 (Ispra site).

  4. 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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.

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

  6. 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. 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.
    2. 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.
    3. 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).
    4. Gavriilidis, Konstantinos & Kallinterakis, Vasileios & Öztürkkal, Belma, 2020. "Does mood affect institutional herding?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 26(C).
    5. 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.

  7. 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.

  8. 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).

  9. 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.

  10. 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. 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.
    2. Yamamoto, Ryuichi, 2020. "Limit order submission risks, order choice, and tick size," Pacific-Basin Finance Journal, Elsevier, vol. 59(C).
    3. 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.

  11. 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.

  12. 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. 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.

  13. 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. Chen, Tao, 2019. "Trade-size clustering and price efficiency," Japan and the World Economy, Elsevier, vol. 49(C), pages 195-203.
    2. Vladim'ir Hol'y & Petra Tomanov'a, 2021. "Modeling Price Clustering in High-Frequency Prices," Papers 2102.12112, arXiv.org, revised Mar 2021.
    3. Palao, Fernando & Pardo, Ángel, 2014. "What makes carbon traders cluster their orders?," Energy Economics, Elsevier, vol. 43(C), pages 158-165.
    4. 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.
    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," Applied Economics, Taylor & Francis Journals, vol. 50(36), pages 3949-3965, August.
    6. 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.
    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.

  14. 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. Chen, Tao, 2019. "Trade-size clustering and price efficiency," Japan and the World Economy, Elsevier, vol. 49(C), pages 195-203.
    2. 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.
    3. 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).
    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.
    5. Palao, Fernando & Pardo, Ángel, 2014. "What makes carbon traders cluster their orders?," Energy Economics, Elsevier, vol. 43(C), pages 158-165.

  15. 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. Vladim'ir Hol'y & Petra Tomanov'a, 2021. "Modeling Price Clustering in High-Frequency Prices," Papers 2102.12112, arXiv.org, revised Mar 2021.
    2. Li, Xin & Li, Shenghong & Xu, Chong, 2020. "Price clustering in Bitcoin market—An extension," Finance Research Letters, Elsevier, vol. 32(C).
    3. 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.
    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.

  16. 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. Yong-Bo Wang & Jin-Ray Lu, 2016. "A Supply-Lock Competitive Market for Investable Products," Asian Development Policy Review, Asian Economic and Social Society, vol. 4(4), pages 127-133, December.
    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. 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.
    5. 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.
    6. 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.

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This author is editor of the following NEP reports, which disseminate new research in a particular field:
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