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Roland Mestel

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. Alexander Brauneis & Roland Mestel & Ryan Riordan & Erik Theissen, 2018. "A High-Frequency Analysis of Bitcoin Markets," Working Paper Series, Social and Economic Sciences 2018-06, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.

    Cited by:

    1. Julia Reynolds & Leopold Sögner & Martin Wagner, 2021. "Deviations from Triangular Arbitrage Parity in Foreign Exchange and Bitcoin Markets," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 13(2), pages 105-146, June.
    2. Saketh Aleti & Bruce Mizrach, 2021. "Bitcoin spot and futures market microstructure," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(2), pages 194-225, February.
    3. Helmut Stix, 2019. "Ownership and purchase intention of crypto-assets – survey results," Working Papers 226, Oesterreichische Nationalbank (Austrian Central Bank).

  2. Roland Mestel & Michael Murg & Erik Theissen, 2018. "Algorithmic Trading and Liquidity: Long Term Evidence from Austria," Working Paper Series, Social and Economic Sciences 2018-03, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.

    Cited by:

    1. Hung, Pi-Hsia & Lien, Donald, 2019. "Trading aggressiveness, order execution quality, and stock price movements: Evidence from the Taiwan stock exchange," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 60(C), pages 231-251.
    2. Jaros{l}aw Duda & Robert Syrek & Henryk Gurgul, 2019. "Modelling bid-ask spread conditional distributions using hierarchical correlation reconstruction," Papers 1911.02361, arXiv.org.
    3. Ramos, Henrique Pinto & Perlin, Marcelo Scherer, 2020. "Does algorithmic trading harm liquidity? Evidence from Brazil," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    4. Alex Frino & Dionigi Gerace & Masud Behnia, 2021. "The impact of algorithmic trading on liquidity in futures markets: New insights into the resiliency of spreads and depth," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(8), pages 1301-1314, August.

  3. Gernot Hinterleitner & Philipp Hornung & Ulrike Leopold-Wildburger & Roland Mestel & Stefan Palan, 2012. "A Good Beginning Makes a Good Market: The Effect of Different Market Opening Structures on Market Quality," Working Paper Series, Social and Economic Sciences 2012-01, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.

    Cited by:

    1. Morone, Andrea & Nuzzo, Simone, 2016. "Do markets (institutions) drive out lemmings - or vice versa?," Kiel Working Papers 2061, Kiel Institute for the World Economy (IfW Kiel).
    2. Andrea Morone & Simone Nuzzo, 2016. "Market efficiency, trading institutions and information mirages: Evidence from an experimental asset market," Working Papers 2016/12, Economics Department, Universitat Jaume I, Castellón (Spain).
    3. Caferra, Rocco & Morone, Andrea & Nuzzo, Simone, 2019. "The Impact of a Pre-Opening Session on Subsequent Trading: an Experimental Analysis," MPRA Paper 92853, University Library of Munich, Germany.
    4. Andrea Morone & Simone Nuzzo, 2019. "Market efficiency, trading institutions and information mirages: evidence from a laboratory asset market," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 14(2), pages 317-344, June.

  4. Alexander Brauneis & Michael Loretz & Roland Mestel & Stefan Palan, 2011. "Inducing Low-Carbon Investment in the Electric Power Industry through a Price Floor for Emissions Trading," Working Papers 2011.74, Fondazione Eni Enrico Mattei.

    Cited by:

    1. Richstein, Jörn C. & Chappin, Emile J.L. & de Vries, Laurens J., 2014. "Cross-border electricity market effects due to price caps in an emission trading system: An agent-based approach," Energy Policy, Elsevier, vol. 71(C), pages 139-158.
    2. Jian-Lei Mo & Joachim Schleich & Lei Zhu & Ying Fan, 2015. "Delaying the introduction of emissions trading systems—Implications for power plant investment and operation from a multi-stage decision model," Post-Print hal-01265934, HAL.
    3. Liu, Li-Jing & Liu, Lan-Cui & Liang, Qiao-Mei, 2023. "Restructuring investment to promote a win–win situation for both the economy and the environment in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    4. Alexander Brauneis & Michael Loretz & Roland Mestel & Stefan Palan, 2011. "Inducing Low-Carbon Investment in the Electric Power Industry through a Price Floor for Emissions Trading," Working Papers 2011.74, Fondazione Eni Enrico Mattei.
    5. Jin Fan & Jun Li & Yanrui Wu & Shanyong Wang & Dingtao Zhao, 2016. "The Effects of Allowance Price on Energy Demand under a Personal Carbon Trading Scheme," Economics Discussion / Working Papers 16-07, The University of Western Australia, Department of Economics.
    6. Barragán-Beaud, Camila & Pizarro-Alonso, Amalia & Xylia, Maria & Syri, Sanna & Silveira, Semida, 2018. "Carbon tax or emissions trading? An analysis of economic and political feasibility of policy mechanisms for greenhouse gas emissions reduction in the Mexican power sector," Energy Policy, Elsevier, vol. 122(C), pages 287-299.
    7. Newbery, D. & Reiner, D. & Ritz, R., 2018. "When is a carbon price floor desirable?," Cambridge Working Papers in Economics 1833, Faculty of Economics, University of Cambridge.
    8. Zhao, Xiaoli & Yao, Jin & Sun, Chuyu & Pan, Wengeng, 2019. "Impacts of carbon tax and tradable permits on wind power investment in China," Renewable Energy, Elsevier, vol. 135(C), pages 1386-1399.
    9. Xie, Li & Zhou, Zhichao & Hui, Shimin, 2022. "Does environmental regulation improve the structure of power generation technology? Evidence from China's pilot policy on the carbon emissions trading market(CETM)," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    10. Wang, Tan & Gong, Yu & Jiang, Chuanwen, 2014. "A review on promoting share of renewable energy by green-trading mechanisms in power system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 923-929.
    11. Romano, Teresa & Fumagalli, Elena, 2018. "Greening the power generation sector: Understanding the role of uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 272-286.
    12. Hua, Weiqi & Jiang, Jing & Sun, Hongjian & Wu, Jianzhong, 2020. "A blockchain based peer-to-peer trading framework integrating energy and carbon markets," Applied Energy, Elsevier, vol. 279(C).
    13. Barradale, Merrill Jones, 2014. "Investment under uncertain climate policy: A practitioners׳ perspective on carbon risk," Energy Policy, Elsevier, vol. 69(C), pages 520-535.
    14. Mo, Jian-Lei & Agnolucci, Paolo & Jiang, Mao-Rong & Fan, Ying, 2016. "The impact of Chinese carbon emission trading scheme (ETS) on low carbon energy (LCE) investment," Energy Policy, Elsevier, vol. 89(C), pages 271-283.
    15. Detemple, Jerome & Kitapbayev, Yerkin, 2022. "Optimal technology adoption for power generation," Energy Economics, Elsevier, vol. 111(C).
    16. Tan, Xueping & Wang, Xinyu & Zaidi, Syed Haider Ali, 2019. "What drives public willingness to participate in the voluntary personal carbon-trading scheme? A case study of Guangzhou Pilot, China," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
    17. Zhang, Xinhua & Gan, Dongmei & Wang, Yali & Liu, Yu & Ge, Jiali & Xie, Rui, 2020. "The impact of price and revenue floors on carbon emission reduction investment by coal-fired power plants," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    18. Compernolle, Tine & Kort, Peter M. & Thijssen, Jacco J.J., 2022. "The effectiveness of carbon pricing: The role of diversification in a firm’s investment decision," Energy Economics, Elsevier, vol. 112(C).
    19. Timothy N. Cason & John K. Stranlund & Frans P. de Vries, 2022. "Investment Incentives in Tradable Emissions Markets with Price Floors Approach," Purdue University Economics Working Papers 1331, Purdue University, Department of Economics.
    20. Ohlendorf, Nils & Flachsland, Christian & Nemet, Gregory F. & Steckel, Jan Christoph, 2022. "Carbon price floors and low-carbon investment: A survey of German firms," Energy Policy, Elsevier, vol. 169(C).
    21. Chang, Kai & Ge, Fangping & Zhang, Chao & Wang, Weihong, 2018. "The dynamic linkage effect between energy and emissions allowances price for regional emissions trading scheme pilots in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 98(C), pages 415-425.
    22. Yinjie Zhang & Chunxiang Guo & Liangcheng Wang, 2020. "Supply Chain Strategy Analysis of Low Carbon Subsidy Policies Based on Carbon Trading," Sustainability, MDPI, vol. 12(9), pages 1-20, April.
    23. Alexander Zeitlberger & Alexander Brauneis, 2016. "Modeling carbon spot and futures price returns with GARCH and Markov switching GARCH models," 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. 24(1), pages 149-176, March.
    24. Yuan Liu & Qinliang Tan & Jian Han & Mingxin Guo, 2021. "Energy-Water-Carbon Nexus Optimization for the Path of Achieving Carbon Emission Peak in China Considering Multiple Uncertainties: A Case Study in Inner Mongolia," Energies, MDPI, vol. 14(4), pages 1-21, February.
    25. Shaofu Du & Jun Qian & Tianzhuo Liu & Li Hu, 2020. "Emission allowance allocation mechanism design: a low-carbon operations perspective," Annals of Operations Research, Springer, vol. 291(1), pages 247-280, August.
    26. Zeng, Shihong & Nan, Xin & Liu, Chao & Chen, Jiuying, 2017. "The response of the Beijing carbon emissions allowance price (BJC) to macroeconomic and energy price indices," Energy Policy, Elsevier, vol. 106(C), pages 111-121.
    27. Antoci, Angelo & Borghesi, Simone & Sodini, Mauro, 2012. "ETS and Technological Innovation: A Random Matching Model," Climate Change and Sustainable Development 139508, Fondazione Eni Enrico Mattei (FEEM).
    28. Jian-Lei Mo & Lei Zhu, 2014. "Using Floor Price Mechanisms to Promote Carbon Capture and Storage (Ccs) Investment and Co2 Abatement," Energy & Environment, , vol. 25(3-4), pages 687-707, April.
    29. Alexander Brauneis & Roland Mestel & Stefan Palan, 2012. "Does a cap on the carbon price have to be a cap on green investments?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 39(2), pages 217-231, May.
    30. Zhang, Ruixiaoxiao & Shimada, Koji & Ni, Meng & Shen, Geoffrey Q.P. & Wong, Johnny K.W., 2020. "Low or No subsidy? Proposing a regional power grid based wind power feed-in tariff benchmark price mechanism in China," Energy Policy, Elsevier, vol. 146(C).
    31. Guang Zhu & Gaozhi Pan & Weiwei Zhang, 2018. "Evolutionary Game Theoretic Analysis of Low Carbon Investment in Supply Chains under Governmental Subsidies," IJERPH, MDPI, vol. 15(11), pages 1-27, November.

  5. Gurgul, Henryk & Lach, Lukasz & Mestel, Roland, 2011. "The relationship between budgetary expenditure and economic growth in Poland," MPRA Paper 35784, University Library of Munich, Germany.

    Cited by:

    1. Mursit Recepoglu, 2022. "Public Expenditures, Economic Growth and Income Inequality: Empirical Evidence from the Commonwealth of Independent States," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 9(2), pages 293-314, July.
    2. Souad HAMMAMI* & Mounir SMIDA, 2022. "What Is The Role Of The Banking Sector In Economic Growth? Case of Tunisian Banks," Noble International Journal of Economics and Financial Research, Noble Academic Publsiher, vol. 7(1), pages 24-31, March.
    3. René Cabral & André Varella Mollick & Eduardo Saucedo, 2016. "Violence in Mexico and its effects on labor productivity," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(2), pages 317-339, March.
    4. Phiri, Andrew, 2016. "Nonlinearities in Wagner's law: Further evidence from South Africa," MPRA Paper 71702, University Library of Munich, Germany.
    5. Selim Demez, 2021. "Validity of Wagner’s Law in EU Member Transition Economies: Panel Causality Analysis," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 8(2), pages 199-210, July.
    6. Goodness C. Aye & Mehmet Balcilar & John P. Dunne & Rangan Gupta & Renee van Eyden, 2013. "Military Expenditure, Economic Growth and Structural Instability: A Case Study of South Africa," Working Papers 201344, University of Pretoria, Department of Economics.
    7. Khalid Zaman & Bashir Khilji, 2014. "A note on pro-poor social expenditures," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 2121-2154, July.
    8. Suzana Balaban & Dejan Živkov, 2021. "Validity of Wagner’s Law in Transition Economies: A Multivariate Approach," Hacienda Pública Española / Review of Public Economics, IEF, vol. 236(1), pages 105-131, March.
    9. Omoshoro-Jones, Oyeyinka Sunday, 2016. "A Cointegration and Causality Test on Government Expenditure –Economic Growth Nexus: Empirical Evidence from a South African Province," MPRA Paper 102085, University Library of Munich, Germany, revised 17 Oct 2017.
    10. Bilal KARGI, 2016. "Is Wagner’s law applicable for fast growing economies? BRICS and MATIK countries," Timisoara Journal of Economics and Business, West University of Timisoara, Romania, Faculty of Economics and Business Administration, vol. 9(1), pages 1-15, June.

Articles

  1. Brauneis, Alexander & Mestel, Roland & Theissen, Erik, 2021. "What drives the liquidity of cryptocurrencies? A long-term analysis," Finance Research Letters, Elsevier, vol. 39(C).

    Cited by:

    1. Böyükaslan, Adem & Ecer, Fatih, 2021. "Determination of drivers for investing in cryptocurrencies through a fuzzy full consistency method-Bonferroni (FUCOM-F’B) framework," Technology in Society, Elsevier, vol. 67(C).
    2. Almeida, José & Gonçalves, Tiago Cruz, 2023. "A systematic literature review of investor behavior in the cryptocurrency markets," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    3. Thomas Dimpfl & Stefania Odelli, 2020. "Bitcoin Price Risk—A Durations Perspective," JRFM, MDPI, vol. 13(7), pages 1-18, July.
    4. Konstantin Hausler, 2022. "ETF construction on CRIX," Papers 2211.15260, arXiv.org, revised Mar 2023.
    5. Kumar Kulbhaskar, Anamika & Subramaniam, Sowmya, 2023. "Breaking news headlines: Impact on trading activity in the cryptocurrency market," Economic Modelling, Elsevier, vol. 126(C).
    6. Ahmed, Walid M.A., 2022. "Robust drivers of Bitcoin price movements: An extreme bounds analysis," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).

  2. Brauneis, Alexander & Mestel, Roland & Riordan, Ryan & Theissen, Erik, 2021. "How to measure the liquidity of cryptocurrency markets?," Journal of Banking & Finance, Elsevier, vol. 124(C).

    Cited by:

    1. Andrea Barbon & Angelo Ranaldo, 2022. "On The Quality Of Cryptocurrency Markets: Centralized Versus Decentralized Exchanges," Swiss Finance Institute Research Paper Series 22-38, Swiss Finance Institute.
    2. Zhong, Meirui & Zhang, Rui & Ren, Xiaohang, 2023. "The time-varying effects of liquidity and market efficiency of the European Union carbon market: Evidence from the TVP-SVAR-SV approach," Energy Economics, Elsevier, vol. 123(C).
    3. Brauneis, Alexander & Mestel, Roland & Riordan, Ryan & Theissen, Erik, 2022. "Bitcoin unchained: Determinants of cryptocurrency exchange liquidity," Journal of Empirical Finance, Elsevier, vol. 69(C), pages 106-122.
    4. Wilkoff, Sean & Yildiz, Serhat, 2023. "The behavior and determinants of illiquidity in the non-fungible tokens (NFTs) market," Global Finance Journal, Elsevier, vol. 55(C).
    5. Foley, Sean & Krekel, William & Mollica, Vito & Svec, Jiri, 2023. "Not so fast: Identifying and remediating slow and imprecise cryptocurrency exchange data," Finance Research Letters, Elsevier, vol. 51(C).
    6. Greppmair, Stefan & Theissen, Erik, 2022. "Small is beautiful? How the introduction of mini futures contracts affects the regular contracts," Journal of Empirical Finance, Elsevier, vol. 67(C), pages 19-38.
    7. Ao Shu & Feiyang Cheng & Jianlei Han & Zini Liang & Zheyao Pan, 2023. "Arbitrage across different Bitcoin exchange venues: Perspectives from investor base and market related events," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(5), pages 5183-5210, December.
    8. Li, Leon & Miu, Peter, 2023. "Are cryptocurrencies a safe haven for stock investors? A regime-switching approach," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 367-385.
    9. Daniele Bianchi & Mykola Babiak, 2021. "A Factor Model for Cryptocurrency Returns," CERGE-EI Working Papers wp710, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    10. Leirvik, Thomas, 2022. "Cryptocurrency returns and the volatility of liquidity," Finance Research Letters, Elsevier, vol. 44(C).
    11. Moreno, David & Antoli, Marcos & Quintana, David, 2022. "Benefits of investing in cryptocurrencies when liquidity is a factor," Research in International Business and Finance, Elsevier, vol. 63(C).
    12. Alexander, Carol & Deng, Jun & Feng, Jianfen & Wan, Huning, 2023. "Net buying pressure and the information in bitcoin option trades," Journal of Financial Markets, Elsevier, vol. 63(C).
    13. Tomé Lima & Helder Sebastião, 2023. "Native Market Factors for Pricing Cryptocurrencies," Notas Económicas, Faculty of Economics, University of Coimbra, issue 57, pages 71-85, December.
    14. Ozkan Haykir & Ibrahim Yagli, 2022. "Speculative bubbles and herding in cryptocurrencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-33, December.
    15. Carol Alexander & Jun Deng & Jianfen Feng & Huning Wan, 2021. "Net Buying Pressure and the Information in Bitcoin Option Trades," Papers 2109.02776, arXiv.org, revised Mar 2022.
    16. Dong, Bingbing & Jiang, Lei & Liu, Jinyu & Zhu, Yifeng, 2022. "Liquidity in the cryptocurrency market and commonalities across anomalies," International Review of Financial Analysis, Elsevier, vol. 81(C).
    17. Zhang, Wei & Li, Yi & Xiong, Xiong & Wang, Pengfei, 2021. "Downside risk and the cross-section of cryptocurrency returns," Journal of Banking & Finance, Elsevier, vol. 133(C).
    18. Tang, Tao & Wang, Yanchen, 2022. "Liquidity Shocks, Price Volatilities, and Risk-managed Strategy: Evidence from Bitcoin and Beyond," Journal of Multinational Financial Management, Elsevier, vol. 64(C).
    19. Kumar Kulbhaskar, Anamika & Subramaniam, Sowmya, 2023. "Breaking news headlines: Impact on trading activity in the cryptocurrency market," Economic Modelling, Elsevier, vol. 126(C).
    20. Abakah, Emmanuel Joel Aikins & Wali Ullah, GM & Adekoya, Oluwasegun B. & Osei Bonsu, Christiana & Abdullah, Mohammad, 2023. "Blockchain market and eco-friendly financial assets: Dynamic price correlation, connectedness and spillovers with portfolio implications," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 218-243.
    21. Nikolaos A. Kyriazis, 2021. "The Nexus of Sophisticated Digital Assets with Economic Policy Uncertainty: A Survey of Empirical Findings and an Empirical Investigation," Sustainability, MDPI, vol. 13(10), pages 1-25, May.

  3. Brauneis, Alexander & Mestel, Roland, 2019. "Cryptocurrency-portfolios in a mean-variance framework," Finance Research Letters, Elsevier, vol. 28(C), pages 259-264.

    Cited by:

    1. Vidal-Tomás, David, 2021. "The entry and exit dynamics of the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 58(C).
    2. Tim Schmitz & Ingo Hoffmann, 2020. "Re-evaluating cryptocurrencies' contribution to portfolio diversification -- A portfolio analysis with special focus on German investors," Papers 2006.06237, arXiv.org, revised Aug 2020.
    3. Nie, Chun-Xiao, 2022. "Analysis of critical events in the correlation dynamics of cryptocurrency market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    4. Yaya, OlaOluwa S & Ogbonna, Ephraim A & Olubusoye, Olusanya E, 2018. "How Persistent and Dependent are Pricing of Bitcoin to other Cryptocurrencies Before and After 2017/18 Crash?," MPRA Paper 91253, University Library of Munich, Germany.
    5. Fantazzini, Dean & Zimin, Stephan, 2019. "A multivariate approach for the simultaneous modelling of market risk and credit risk for cryptocurrencies," MPRA Paper 95988, University Library of Munich, Germany.
    6. Paweł Sakowski & Daria Turovtseva, 2020. "Does Bitcoin Improve Investment Portfolio Efficiency?," Working Papers 2020-42, Faculty of Economic Sciences, University of Warsaw.
    7. Senarathne Chamil W. & Šoja Tijana, 2019. "Heteroskedasticity in Excess Bitcoin Return Data: Google Trend vs. Garch Effects," Financial Sciences. Nauki o Finansach, Sciendo, vol. 24(3), pages 35-45, September.
    8. Aurelio F. Bariviera & Ignasi Merediz‐Solà, 2021. "Where Do We Stand In Cryptocurrencies Economic Research? A Survey Based On Hybrid Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 377-407, April.
    9. Mateus Portelinha & Carlos Heitor Campani & Raphael Roquete, 2021. "The impacts of cryptocurrencies in the performance of Brazilian stocks' portfolios," Economics Bulletin, AccessEcon, vol. 41(3), pages 1919-1931.
    10. Kaya, Orçun & Mostowfi, Mehdi, 2022. "Low-volatility strategies for highly liquid cryptocurrencies," Finance Research Letters, Elsevier, vol. 46(PB).
    11. Galvani, Valentina & Faychuk, Vita, 2022. "The Mean-Variance Core of Cryptocurrencies: When More is Not Better," Working Papers 2022-4, University of Alberta, Department of Economics.
    12. Kurosaki, Tetsuo & Kim, Young Shin, 2022. "Cryptocurrency portfolio optimization with multivariate normal tempered stable processes and Foster-Hart risk," Finance Research Letters, Elsevier, vol. 45(C).
    13. Qiao, Xingzhi & Zhu, Huiming & Hau, Liya, 2020. "Time-frequency co-movement of cryptocurrency return and volatility: Evidence from wavelet coherence analysis," International Review of Financial Analysis, Elsevier, vol. 71(C).
    14. Fan Fang & Carmine Ventre & Michail Basios & Leslie Kanthan & David Martinez-Rego & Fan Wu & Lingbo Li, 2022. "Cryptocurrency trading: a comprehensive survey," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-59, December.
    15. Fan Fang & Carmine Ventre & Michail Basios & Leslie Kanthan & Lingbo Li & David Martinez-Regoband & Fan Wu, 2020. "Cryptocurrency Trading: A Comprehensive Survey," Papers 2003.11352, arXiv.org, revised Jan 2022.
    16. Ko, Hyungjin & Son, Bumho & Lee, Yunyoung & Jang, Huisu & Lee, Jaewook, 2022. "The economic value of NFT: Evidence from a portfolio analysis using mean–variance framework," Finance Research Letters, Elsevier, vol. 47(PA).
    17. Angerer, Martin & Hoffmann, Christian Hugo & Neitzert, Florian & Kraus, Sascha, 2021. "Objective and subjective risks of investing into cryptocurrencies," Finance Research Letters, Elsevier, vol. 40(C).
    18. Sonia Arsi & Soumaya Ben Khelifa & Yosra Ghabri & Hela Mzoughi, 2021. "Cryptocurrencies: Key Risks and Challenges," World Scientific Book Chapters, in: Stéphane Goutte & Khaled Guesmi & Samir Saadi (ed.), Cryptofinance A New Currency for a New Economy, chapter 7, pages 121-145, World Scientific Publishing Co. Pte. Ltd..
    19. Akanksha Jalan & Roman Matkovskyy & Andrew Urquhart & Larisa Yarovaya, 2023. "The role of interpersonal trust in cryptocurrency adoption," Post-Print hal-03946536, HAL.
    20. Tan, Xilong & Tao, Yubo, 2023. "Trend-based forecast of cryptocurrency returns," Economic Modelling, Elsevier, vol. 124(C).
    21. Leirvik, Thomas, 2022. "Cryptocurrency returns and the volatility of liquidity," Finance Research Letters, Elsevier, vol. 44(C).
    22. Zdravka Aljinović & Branka Marasović & Tea Šestanović, 2021. "Cryptocurrency Portfolio Selection—A Multicriteria Approach," Mathematics, MDPI, vol. 9(14), pages 1-21, July.
    23. Tetsuo Kurosaki & Young Shin Kim, 2020. "Cryptocurrency portfolio optimization with multivariate normal tempered stable processes and Foster-Hart risk," Papers 2010.08900, arXiv.org.
    24. Jing, Ruixue & Rocha, Luis E.C., 2023. "A network-based strategy of price correlations for optimal cryptocurrency portfolios," Finance Research Letters, Elsevier, vol. 58(PC).
    25. Luis Lorenzo & Javier Arroyo, 2022. "Analysis of the cryptocurrency market using different prototype-based clustering techniques," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-46, December.
    26. Paweł Sakowski & Anna Turovtseva, 2020. "Verification of Investment Opportunities on the Cryptocurrency Market within the Markowitz Framework," Working Papers 2020-41, Faculty of Economic Sciences, University of Warsaw.
    27. Gambarelli, Luca & Marchi, Gianluca & Muzzioli, Silvia, 2023. "Hedging effectiveness of cryptocurrencies in the European stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
    28. Grobys, Klaus & Huynh, Toan Luu Duc, 2022. "When Tether says “JUMP!” Bitcoin asks “How low?”," Finance Research Letters, Elsevier, vol. 47(PA).
    29. Colombo, Jefferson A. & Cruz, Fernando I. L. & Paese, Luis H. Z. & Cortes, Renan X., 2021. "The diversification benefits of cryptocurrencies in multi-asset portfolios: cross-country evidence," Textos para discussão 542, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    30. Ma, Yechi & Ahmad, Ferhana & Liu, Miao & Wang, Zilong, 2020. "Portfolio optimization in the era of digital financialization using cryptocurrencies," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    31. Díaz, Antonio & Esparcia, Carlos & Huélamo, Diego, 2023. "Stablecoins as a tool to mitigate the downside risk of cryptocurrency portfolios," The North American Journal of Economics and Finance, Elsevier, vol. 64(C).
    32. Jaroslav Mazanec, 2021. "Portfolio Optimalization on Digital Currency Market," JRFM, MDPI, vol. 14(4), pages 1-15, April.
    33. Burggraf, Tobias, 2021. "Beyond risk parity – A machine learning-based hierarchical risk parity approach on cryptocurrencies," Finance Research Letters, Elsevier, vol. 38(C).
    34. Flori, Andrea, 2019. "News and subjective beliefs: A Bayesian approach to Bitcoin investments," Research in International Business and Finance, Elsevier, vol. 50(C), pages 336-356.
    35. Li, Jing-Ping & Naqvi, Bushra & Rizvi, Syed Kumail Abbas & Chang, Hsu-Ling, 2021. "Bitcoin: The biggest financial innovation of fourth industrial revolution and a portfolio's efficiency booster," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    36. Demiralay, Sercan & Golitsis, Petros, 2021. "On the dynamic equicorrelations in cryptocurrency market," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 524-533.
    37. Bedi, Prateek & Nashier, Tripti, 2020. "On the investment credentials of Bitcoin: A cross-currency perspective," Research in International Business and Finance, Elsevier, vol. 51(C).
    38. Ahmed M. Khedr & Ifra Arif & Pravija Raj P V & Magdi El‐Bannany & Saadat M. Alhashmi & Meenu Sreedharan, 2021. "Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(1), pages 3-34, January.
    39. Ghabri, Yosra & Guesmi, Khaled & Zantour, Ahlem, 2021. "Bitcoin and liquidity risk diversification," Finance Research Letters, Elsevier, vol. 40(C).
    40. Andrea Flori, 2019. "Cryptocurrencies In Finance: Review And Applications," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(05), pages 1-22, August.
    41. Caner Ozdurak & Alican Umut & Tugba Ozay, 2022. "The Interaction of Major Crypto-assets, Clean Energy, and Technology Indices in Diversified Portfolios," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 480-490, March.

  4. Mestel, Roland & Murg, Michael & Theissen, Erik, 2018. "Algorithmic trading and liquidity: Long term evidence from Austria," Finance Research Letters, Elsevier, vol. 26(C), pages 198-203.
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    Cited by:

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    129. Wang, Chen & Shen, Dehua & Li, Youwei, 2022. "Aggregate Investor Attention and Bitcoin Return: The Long Short-term Memory Networks Perspective," Finance Research Letters, Elsevier, vol. 49(C).
    130. Lee Alan Smales, 2020. "One Cryptocurrency to Explain Them All? Understanding the Importance of Bitcoin in Cryptocurrency Returns," Economic Papers, The Economic Society of Australia, vol. 39(2), pages 118-132, June.

  6. Philipp Hornung & Ulrike Leopold-Wildburger & Roland Mestel & Stefan Palan, 2015. "Insider behavior under different market structures: experimental evidence on trading patterns, manipulation, and profitability," 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. 23(2), pages 357-373, June.

    Cited by:

    1. Stöckl, Thomas & Palan, Stefan, 2018. "Catch me if you can. Can human observers identify insiders in asset markets?," Journal of Economic Psychology, Elsevier, vol. 67(C), pages 1-17.
    2. Jarosław Duda & Henryk Gurgul & Robert Syrek, 2022. "Multi-feature evaluation of financial contagion," 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. 30(4), pages 1167-1194, December.
    3. Robert Merl, 2021. "Literature Review of Experimental Asset Markets with Insiders," Working Paper Series, Social and Economic Sciences 2021-04, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
    4. Caferra, Rocco & Morone, Andrea & Nuzzo, Simone, 2019. "The Impact of a Pre-Opening Session on Subsequent Trading: an Experimental Analysis," MPRA Paper 92853, University Library of Munich, Germany.
    5. Aleksandra Rutkowska & Agata Kliber, 2021. "Say anything you want about me if you spell my name right: the effect of Internet searches on financial market," 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. 29(2), pages 633-664, June.
    6. Merl, Robert, 2022. "Literature review of experimental asset markets with insiders," Journal of Behavioral and Experimental Finance, Elsevier, vol. 33(C).
    7. Jürgen Fleiß & Stefan Palan, 2015. "Collaborative decision systems in economics and in complex societal and environmental applications," 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. 23(2), pages 279-282, June.
    8. Stefan Palan & Thomas Stöckl, 2014. "When chasing the offender hurts the victim: Collateral damage from insider legislation," Working Paper Series, Social and Economic Sciences 2014-03, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.

  7. Brauneis, Alexander & Mestel, Roland & Palan, Stefan, 2013. "Inducing low-carbon investment in the electric power industry through a price floor for emissions trading," Energy Policy, Elsevier, vol. 53(C), pages 190-204.
    See citations under working paper version above.
  8. Henryk Gurgul & Łukasz Lach & Roland Mestel, 2012. "The relationship between budgetary expenditure and economic growth in Poland," 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. 20(1), pages 161-182, March.
    See citations under working paper version above.
  9. Alexander Brauneis & Roland Mestel & Stefan Palan, 2012. "Does a cap on the carbon price have to be a cap on green investments?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 39(2), pages 217-231, May.

    Cited by:

    1. Alexander Brauneis & Michael Loretz & Roland Mestel & Stefan Palan, 2011. "Inducing Low-Carbon Investment in the Electric Power Industry through a Price Floor for Emissions Trading," Working Papers 2011.74, Fondazione Eni Enrico Mattei.
    2. 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).

  10. Henryk Gurgul & Paweł Majdosz & Roland Mestel, 2007. "Price–volume relations of DAX companies," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 21(3), pages 353-379, September.

    Cited by:

    1. Shmilovici Armin & Ben-Gal Irad, 2012. "Predicting Stock Returns Using a Variable Order Markov Tree Model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(5), pages 1-33, December.
    2. Bajzik, Josef, 2021. "Trading volume and stock returns: A meta-analysis," International Review of Financial Analysis, Elsevier, vol. 78(C).

  11. Henryk Gurgul & Pawe³ Majdosz & Roland Mestel, 2006. "Implications of Dividend Announcements for the Stock Prices and Trading Volumes of DAX Companies (in English)," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 56(1-2), pages 58-68, January.

    Cited by:

    1. Dr. Jeetendra Dangol, 2016. "Nepalese Stock Market Efficiency in Respect of Cash and Stock Dividend Announcement," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 7(3), pages 60-71, September.
    2. Paul Abbondante, 2010. "Trading Volume and Stock Indices: A Test of Technical Analysis," American Journal of Economics and Business Administration, Science Publications, vol. 2(3), pages 287-292, September.

  12. Henryk Gurgul & Pawel Majdosz & Roland Mestel, 2005. "Joint Dynamics of Prices and Trading Volume on the Polish Stock Market," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 3(2), pages 139-156.

    Cited by:

    1. Rodrigo Aranda & Patricio Jaramillo, 2008. "Nonlinear Dynamic in the Chilean Stock Market: Evidence from Returns and Trading Volume," Working Papers Central Bank of Chile 463, Central Bank of Chile.
    2. Katarzyna Bien-Barkowska, 2012. ""Does it take volume to move fx rates?" Evidence from quantile regressions," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 12, pages 35-52.
    3. Sarika Mahajan & Balwinder Singh, 2008. "An Empirical Analysis of Stock Price-Volume Relationship in Indian Stock Market," Vision, , vol. 12(3), pages 1-13, July.
    4. Go, You-How & Lau, Wee-Yeap, 2020. "The impact of global financial crisis on informational efficiency: Evidence from price-volume relation in crude palm oil futures market," Journal of Commodity Markets, Elsevier, vol. 17(C).
    5. Rodrigo F. Aranda L. & Patricio Jaramillo G., 2010. "Non-linear Dynamics in the Chilean Stock Market: Evidence on Traded Volumes and Returns," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 13(3), pages 67-94, December.
    6. Ling-Yun He & Sheng Yang & Wen-Si Xie & Zhi-Hong Han, 2014. "Contemporaneous and Asymmetric Properties in the Price-Volume Relationships in China's Agricultural Futures Markets," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(1S), pages 148-166, January.
    7. Muzhao Jin & Fearghal Kearney & Youwei Li & Yung Chiang Yang, 2023. "Order book price impact in the Chinese soybean futures market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 606-625, January.
    8. Sarika Mahajan & Balwinder Singh, 2013. "Return, Volume and Volatility Relationship in Indian Stock Market: Pre and Post Rolling Settlement Analysis," Global Business Review, International Management Institute, vol. 14(3), pages 413-428, September.
    9. Gurleen Sahota & Balwinder Singh, 2016. "The Empirical Investigation of Causal Relationship between Intraday Return and Volume in Indian Stock Market," Vision, , vol. 20(3), pages 199-210, September.

Chapters

  1. Roland Mestel & Henryk Gurgul & Paweł Majdosz, 2005. "On the Empirical Linkages between Stock Prices and Trading Activity on the German Stock Market," Operations Research Proceedings, in: Hein Fleuren & Dick Hertog & Peter Kort (ed.), Operations Research Proceedings 2004, pages 288-296, Springer.

    Cited by:

    1. Henryk Gurgul & Roland Mestel & Robert Syrek, 2008. "Polish Stock Market and some foreign markets - dependence analysis by copulas," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 18(2), pages 17-35.

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