Mihály Ormos
(Mihaly Ormos)

Personal Details

First Name:	Mihaly
Middle Name:
Last Name:	Ormos
Suffix:
RePEc Short-ID:	por106
	[This author has chosen not to make the email address public]
	https://gti.elte.hu/az-intezetrol
	Szép utca 2. Budapest, 1117 Hungary

Affiliation

Gazdálkodástudomámyi Intézet
Eötvös Loránd Tudományegyetem (ELTE)

Budapest, Hungary
https://gti.elte.hu/
RePEc:edi:gtielhu (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. Peter Erdos & Mihaly Ormos & David Zibriczky, 2017. "Non-parametric and semi-parametric asset pricing," Papers 1703.09500, arXiv.org.
   • Erdos, Péter & Ormos, Mihály & Zibriczky, Dávid, 2011. "Non-parametric and semi-parametric asset pricing," Economic Modelling, Elsevier, vol. 28(3), pages 1150-1162, May.

   Cited by:

   1. Rácz, Dávid Andor, 2019. "Abszolút hozamú befektetési alapok teljesítményének értékelése - a teljesítménymanipulálás kimutatása [Performance evaluation of absolute return funds - Detecting performance manipulation]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(7), pages 824-846.
   2. Mihaly Ormos & Dusan Timotity, 2015. "Generalized asset pricing: Expected Downside Risk-Based Equilibrium Modelling," Papers 1512.01806, arXiv.org.
      • Ormos, Mihály & Timotity, Dusán, 2016. "Generalized asset pricing: Expected Downside Risk-based equilibrium modeling," Economic Modelling, Elsevier, vol. 52(PB), pages 967-980.
   3. Mihály Ormos & Dusán Timotity, 2017. "Expected downside risk and asset prices: characteristics of emerging and developed European markets," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(3), pages 529-546, August.
   4. Mihály Ormos & Dávid Zibriczky, 2014. "Entropy-Based Financial Asset Pricing," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-21, December.
      • Mihaly Ormos & David Zibriczky, 2015. "Entropy-Based Financial Asset Pricing," Papers 1501.01155, arXiv.org.
   5. Luz M. Gómez & Rogério F. Porto & Pedro A. Morettin, 2021. "Nonparametric regression with warped wavelets and strong mixing processes," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 73(6), pages 1203-1228, December.
   6. José Eduardo Gómez-González & Elioth Mirsha Sanabria-Buenaventura, 2012. "Non-Parametric and Semi-Parametric Asset Pricing: An Application to the Colombian Stock Exchange," Borradores de Economia 9384, Banco de la Republica.
      • Gómez-González, José Eduardo & Sanabria-Buenaventura, Elioth Mirsha, 2014. "Non-parametric and semi-parametric asset pricing: An application to the Colombian stock exchange," Economic Systems, Elsevier, vol. 38(2), pages 261-268.
      • José Eduardo Gómez-González & Elioth Mirsha Sanabria-Buenaventura, 2012. "Non-Parametric and Semi-Parametric Asset Pricing: An Application to the Colombian Stock Exchange," Borradores de Economia 697, Banco de la Republica de Colombia.

2. Mihaly Ormos & Dusan Timotity, 2016. "Market Microstructure During Financial Crisis: Dynamics of Informed and Heuristic-Driven Trading," Papers 1606.03590, arXiv.org.
   • Ormos, Mihály & Timotity, Dusán, 2016. "Market microstructure during financial crisis: Dynamics of informed and heuristic-driven trading," Finance Research Letters, Elsevier, vol. 19(C), pages 60-66.

   Cited by:

   1. Liu, Hong & Qi, Lina & Li, Zaili, 2019. "Insider trading, representativeness heuristic insider, and market regulation," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 48-64.
   2. Jackowicz, Krzysztof & Kozłowski, Łukasz & Podgórski, Błażej, 2017. "The distant echo of Brexit: Did exporters suffer the most?," Finance Research Letters, Elsevier, vol. 21(C), pages 132-139.
   3. Bikramaditya Ghosh & Krishna MC, 2020. "Econophysical bourse volatility – Global Evidence," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 9(2), pages 87-107.
   4. Feng, Wenjun & Wang, Yiming & Zhang, Zhengjun, 2018. "Informed trading in the Bitcoin market," Finance Research Letters, Elsevier, vol. 26(C), pages 63-70.
   5. Ormos Mihály & Timotity Dusán, 2017. "The Case of “Less is More”: Modelling Risk-Preference with Expected Downside Risk," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 17(2), pages 1-14, June.
      • Mihaly Ormos & Dusan Timotity, 2017. "The case of 'Less is more': Modelling risk-preference with Expected Downside Risk," Papers 1704.05332, arXiv.org.
   6. Andor, György & Bohák, András, 2017. "Identifying events in financial time series – A new approach with bipower variation," Finance Research Letters, Elsevier, vol. 22(C), pages 42-48.
   7. Qureshi, Fiza & Kutan, Ali M. & Ismail, Izlin & Gee, Chan Sok, 2017. "Mutual funds and stock market volatility: An empirical analysis of Asian emerging markets," Emerging Markets Review, Elsevier, vol. 31(C), pages 176-192.
   8. Benjamin Carl Anderson & Stoyu I Ivanov, 2019. "Study of the impact of the Great Recession on the relation between earnings surprises and stock returns," Economics Bulletin, AccessEcon, vol. 39(2), pages 1118-1126.

3. Mihaly Ormos & Dusan Timotity, 2016. "Unravelling the Asymmetric Volatility Puzzle: A Novel Explanation of Volatility Through Anchoring," Papers 1606.03597, arXiv.org.
   • Ormos, Mihály & Timotity, Dusan, 2016. "Unravelling the asymmetric volatility puzzle: A novel explanation of volatility through anchoring," Economic Systems, Elsevier, vol. 40(3), pages 345-354.

   Cited by:

   1. Mihaly Ormos & Dusan Timotity, 2016. "Market Microstructure During Financial Crisis: Dynamics of Informed and Heuristic-Driven Trading," Papers 1606.03590, arXiv.org.
      • Ormos, Mihály & Timotity, Dusán, 2016. "Market microstructure during financial crisis: Dynamics of informed and heuristic-driven trading," Finance Research Letters, Elsevier, vol. 19(C), pages 60-66.
   2. Ormos Mihály & Timotity Dusán, 2017. "The Case of “Less is More”: Modelling Risk-Preference with Expected Downside Risk," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 17(2), pages 1-14, June.
      • Mihaly Ormos & Dusan Timotity, 2017. "The case of 'Less is more': Modelling risk-preference with Expected Downside Risk," Papers 1704.05332, arXiv.org.
   3. Bharat Kumar Meher & Iqbal Thonse Hawaldar & Mathew Thomas Gil & Deebom Zorle Dum, 2021. "Measuring Leverage Effect of Covid 19 on Stock Price Volatility of Energy Companies Using High Frequency Data," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 489-502.
   4. Chun, Dohyun & Cho, Hoon & Ryu, Doojin, 2020. "Economic indicators and stock market volatility in an emerging economy," Economic Systems, Elsevier, vol. 44(2).
   5. Geetika Madaan & Sanjeet Singh, 2019. "An Analysis of Behavioral Biases in Investment Decision-Making," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 10(4), pages 55-67, July.
   6. Kumar SANTOSH & Meher Kumar BHARAT & Ramona BIRAU & Mircea Laurentiu SIMION & Anand ABHISHEK & Singh MANOHAR, 2023. "Quantifying Long-Term Volatility for Developed Stock Markets: An Empirical Case Study Using PGARCH Model on Toronto Stock Exchange (TSX)," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 61-68.
   7. Newaz, Mohammad Khaleq & Park, Jin Suk, 2019. "The impact of trade intensity and Market characteristics on asymmetric volatility, spillovers and asymmetric spillovers: Evidence from the response of international stock markets to US shocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 79-94.

4. Mihaly Ormos & David Zibriczky, 2015. "Entropy-Based Financial Asset Pricing," Papers 1501.01155, arXiv.org.
   • Mihály Ormos & Dávid Zibriczky, 2014. "Entropy-Based Financial Asset Pricing," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-21, December.

   Cited by:

   1. László Nagy & Mihály Ormos, 2018. "Friendship of Stock Market Indices: A Cluster-Based Investigation of Stock Markets," JRFM, MDPI, vol. 11(4), pages 1-16, December.
   2. Nathan Lassance & Frédéric Vrins, 2019. "Minimum Rényi entropy portfolios," LIDAM Reprints CORE 3062, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
      • Nathan Lassance & Frédéric Vrins, 2021. "Minimum Rényi entropy portfolios," Annals of Operations Research, Springer, vol. 299(1), pages 23-46, April.
      • LASSANCE Nathan, & VRINS Frédéric,, 2019. "Minimum Rényi entropy portfolios," LIDAM Discussion Papers CORE 2019001, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
      • Lassance, Nathan & Vrins, Frédéric, 2019. "Minimum Rényi entropy portfolios," LIDAM Reprints LFIN 2019009, Université catholique de Louvain, Louvain Finance (LFIN).
      • Lassance, Nathan & Vrins, Frédéric, 2019. "Minimum Rényi entropy portfolios," LIDAM Discussion Papers LFIN 2019003, Université catholique de Louvain, Louvain Finance (LFIN).
      • Nathan Lassance & Fr'ed'eric Vrins, 2017. "Minimum R\'enyi Entropy Portfolios," Papers 1705.05666, arXiv.org, revised Jul 2018.
   3. Seyma Caliskan Cavdar & Alev Dilek Aydin, 2015. "An Empirical Analysis for the Prediction of a Financial Crisis in Turkey through the Use of Forecast Error Measures," JRFM, MDPI, vol. 8(3), pages 1-18, August.
   4. Ormos Mihály & Timotity Dusán, 2017. "The Case of “Less is More”: Modelling Risk-Preference with Expected Downside Risk," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 17(2), pages 1-14, June.
      • Mihaly Ormos & Dusan Timotity, 2017. "The case of 'Less is more': Modelling risk-preference with Expected Downside Risk," Papers 1704.05332, arXiv.org.
   5. Daniel Chiew & Judy Qiu & Sirimon Treepongkaruna & Jiping Yang & Chenxiao Shi, 2019. "The predictive ability of the expected utility-entropy based fund rating approach: A comparison investigation with Morningstar ratings in US," PLOS ONE, Public Library of Science, vol. 14(4), pages 1-22, April.
   6. Luckshay Batra & Harish Chander Taneja, 2022. "Comparison between Information Theoretic Measures to Assess Financial Markets," FinTech, MDPI, vol. 1(2), pages 1-18, May.
   7. L. Ponta & A. Carbone, 2019. "Quantifying horizon dependence of asset prices: a cluster entropy approach," Papers 1908.00257, arXiv.org, revised Apr 2020.
   8. Stosic, Darko & Stosic, Dusan & Ludermir, Teresa & de Oliveira, Wilson & Stosic, Tatijana, 2016. "Foreign exchange rate entropy evolution during financial crises," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 449(C), pages 233-239.
   9. Ponta, Linda & Carbone, Anna, 2018. "Information measure for financial time series: Quantifying short-term market heterogeneity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 132-144.
   10. Park, Sangjin & Jang, Kwahngsoo & Yang, Jae-Suk, 2021. "Information flow between bitcoin and other financial assets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
   11. Pietro Murialdo & Linda Ponta & Anna Carbone, 2020. "Long-Range Dependence in Financial Markets: a Moving Average Cluster Entropy Approach," Papers 2004.14736, arXiv.org.
   12. Harshit Mishra & Parama Barai, 2024. "Entropy Augmented Asset Pricing Model: Study on Indian Stock Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(1), pages 81-99, March.
   13. Ponta, Linda & Murialdo, Pietro & Carbone, Anna, 2021. "Information measure for long-range correlated time series: Quantifying horizon dependence in financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
   14. Galina Deeva, 2017. "Comparing Entropy and Beta as Measures of Risk in Asset Pricing," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(6), pages 1889-1894.
   15. Noe Rodriguez-Rodriguez & Octavio Miramontes, 2022. "Shannon entropy: an econophysical approach to cryptocurrency portfolios," Papers 2210.02633, arXiv.org.
   16. Grilli, Luca & Santoro, Domenico, 2020. "Boltzmann Entropy in Cryptocurrencies: A Statistical Ensemble Based Approach," MPRA Paper 99591, University Library of Munich, Germany.

5. Mihaly Ormos & Dusan Timotity, 2015. "Generalized asset pricing: Expected Downside Risk-Based Equilibrium Modelling," Papers 1512.01806, arXiv.org.
   • Ormos, Mihály & Timotity, Dusán, 2016. "Generalized asset pricing: Expected Downside Risk-based equilibrium modeling," Economic Modelling, Elsevier, vol. 52(PB), pages 967-980.

   Cited by:

   1. Ormos Mihály & Timotity Dusán, 2017. "The Case of “Less is More”: Modelling Risk-Preference with Expected Downside Risk," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 17(2), pages 1-14, June.
      • Mihaly Ormos & Dusan Timotity, 2017. "The case of 'Less is more': Modelling risk-preference with Expected Downside Risk," Papers 1704.05332, arXiv.org.
   2. Mihály Ormos & Dusán Timotity, 2017. "Expected downside risk and asset prices: characteristics of emerging and developed European markets," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(3), pages 529-546, August.
   3. Ana B. Ruiz & Rubén Saborido & José D. Bermúdez & Mariano Luque & Enriqueta Vercher, 2020. "Preference-based evolutionary multi-objective optimization for portfolio selection: a new credibilistic model under investor preferences," Journal of Global Optimization, Springer, vol. 76(2), pages 295-315, February.
   4. Michael Nwogugu, 2020. "Regret Theory And Asset Pricing Anomalies In Incomplete Markets With Dynamic Un-Aggregated Preferences," Papers 2005.01709, arXiv.org.
   5. Xu, Yahua & Xiao, Jun & Zhang, Liguo, 2020. "Global predictive power of the upside and downside variances of the U.S. equity market," Economic Modelling, Elsevier, vol. 93(C), pages 605-619.

Articles

1. László Nagy & Mihály Ormos, 2018. "Friendship of Stock Market Indices: A Cluster-Based Investigation of Stock Markets," JRFM, MDPI, vol. 11(4), pages 1-16, December.

   Cited by:

   1. Rafael Esteves Mansano & Luiz Emilio Allem & Renata Raposo Del-Vecchio & Carlos Hoppen, 2022. "Balanced portfolio via signed graphs and spectral clustering in the Brazilian stock market," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(4), pages 2325-2340, August.
   2. Arnab Bhattacharjee & Sudipto Roy, 2019. "Abnormal Returns or Mismeasured Risk? Network Effects and Risk Spillover in Stock Returns," JRFM, MDPI, vol. 12(2), pages 1-13, March.
   3. Dafne E. van Kuppevelt & Rena Bakhshi & Eelke M. Heemskerk & Frank W. Takes, 2022. "Community membership consistency applied to corporate board interlock networks," Journal of Computational Social Science, Springer, vol. 5(1), pages 841-860, May.
   4. Chang, Chiu-Lan & Fang, Ming, 2022. "The connectedness between natural resource commodities and stock market indices: Evidence from the Chinese economy," Resources Policy, Elsevier, vol. 78(C).

2. Mihály Ormos & Dusán Timotity, 2017. "Expected downside risk and asset prices: characteristics of emerging and developed European markets," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(3), pages 529-546, August.

   Cited by:

   1. Ormos Mihály & Timotity Dusán, 2017. "The Case of “Less is More”: Modelling Risk-Preference with Expected Downside Risk," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 17(2), pages 1-14, June.
      • Mihaly Ormos & Dusan Timotity, 2017. "The case of 'Less is more': Modelling risk-preference with Expected Downside Risk," Papers 1704.05332, arXiv.org.

3. Gábor Bóta & Mihály Ormos, 2016. "Is There a Local Advantage for Mutual Funds That Invest in Eastern Europe?," Eastern European Economics, Taylor & Francis Journals, vol. 54(1), pages 23-48, January.

   Cited by:

   1. Dariusz Filip, 2017. "Mutual Funds: Does the Performance Erosion Effect Exist? Evidence from the Czech Republic, Hungary and Poland," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 67(6), pages 512-538, October.
   2. Dariusz Filip, 2018. "The impact of fund attributes on performance: Empirical evidence for Polish equity funds," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 36(2), pages 465-488.

4. Ormos, Mihály & Timotity, Dusán, 2016. "Market microstructure during financial crisis: Dynamics of informed and heuristic-driven trading," Finance Research Letters, Elsevier, vol. 19(C), pages 60-66.
   • Mihaly Ormos & Dusan Timotity, 2016. "Market Microstructure During Financial Crisis: Dynamics of Informed and Heuristic-Driven Trading," Papers 1606.03590, arXiv.org.
   See citations under working paper version above.
5. Ormos, Mihály & Timotity, Dusán, 2016. "Generalized asset pricing: Expected Downside Risk-based equilibrium modeling," Economic Modelling, Elsevier, vol. 52(PB), pages 967-980.
   • Mihaly Ormos & Dusan Timotity, 2015. "Generalized asset pricing: Expected Downside Risk-Based Equilibrium Modelling," Papers 1512.01806, arXiv.org.
   See citations under working paper version above.
6. Ormos, Mihály & Timotity, Dusan, 2016. "Unravelling the asymmetric volatility puzzle: A novel explanation of volatility through anchoring," Economic Systems, Elsevier, vol. 40(3), pages 345-354.
   • Mihaly Ormos & Dusan Timotity, 2016. "Unravelling the Asymmetric Volatility Puzzle: A Novel Explanation of Volatility Through Anchoring," Papers 1606.03597, arXiv.org.
   See citations under working paper version above.
7. Ormos, Mihály & Joó, István, 2014. "Are Hungarian investors reluctant to realize their losses?," Economic Modelling, Elsevier, vol. 40(C), pages 52-58.

   Cited by:

   1. Marco Pleßner, 2017. "The disposition effect: a survey," Management Review Quarterly, Springer, vol. 67(1), pages 1-30, February.
   2. Kahya, Evrim Hilal & Ekinci, Cumhur, 2022. "Disposition bias among Borsa Istanbul investors: What do we know about type, size and trading frequency?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
   3. Hincapié-Salazar, Juliana & Agudelo, Diego A., 2020. "Is the disposition effect in bonds as strong as in stocks? Evidence from an emerging market," Global Finance Journal, Elsevier, vol. 46(C).

8. Mihály Ormos & Dávid Zibriczky, 2014. "Entropy-Based Financial Asset Pricing," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-21, December.
   • Mihaly Ormos & David Zibriczky, 2015. "Entropy-Based Financial Asset Pricing," Papers 1501.01155, arXiv.org.
   See citations under working paper version above.
9. Mih�ly Ormos & Andr�s Urb�n, 2013. "Performance analysis of log-optimal portfolio strategies with transaction costs," Quantitative Finance, Taylor & Francis Journals, vol. 13(10), pages 1587-1597, October.

   Cited by:

   1. Zhenhan Huang & Fumihide Tanaka, 2021. "MSPM: A Modularized and Scalable Multi-Agent Reinforcement Learning-based System for Financial Portfolio Management," Papers 2102.03502, arXiv.org, revised Feb 2022.
   2. Jinyang Li, 2024. "A Deep Reinforcement Learning Framework For Financial Portfolio Management," Papers 2409.08426, arXiv.org.
   3. Yunan Ye & Hengzhi Pei & Boxin Wang & Pin-Yu Chen & Yada Zhu & Jun Xiao & Bo Li, 2020. "Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States," Papers 2002.05780, arXiv.org.
   4. Yinheng Li & Junhao Wang & Yijie Cao, 2019. "A General Framework on Enhancing Portfolio Management with Reinforcement Learning," Papers 1911.11880, arXiv.org, revised Oct 2023.
   5. Yifeng Guo & Xingyu Fu & Yuyan Shi & Mingwen Liu, 2018. "Robust Log-Optimal Strategy with Reinforcement Learning," Papers 1805.00205, arXiv.org.
   6. Zhengyao Jiang & Dixing Xu & Jinjun Liang, 2017. "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem," Papers 1706.10059, arXiv.org, revised Jul 2017.
   7. Farzan Soleymani & Eric Paquet, 2021. "Deep Graph Convolutional Reinforcement Learning for Financial Portfolio Management -- DeepPocket," Papers 2105.08664, arXiv.org.

10. Erdős, Péter & Ormos, Mihály, 2012. "Pricing of collectibles: Baedeker guidebooks," Economic Modelling, Elsevier, vol. 29(5), pages 1968-1978.

    Cited by:

    1. Dobrynskaya, Victoria & Kishilova, Julia, 2022. "Lego: The Toy Of Smart Investors," Research in International Business and Finance, Elsevier, vol. 59(C).
       • Victoria Dobrynskaya & Julia Kishilova, 2020. "Lego - The Toy Of Smart Investors," HSE Working papers WP BRP 80/FE/2020, National Research University Higher School of Economics.
    2. Kleine, Jens & Peschke, Thomas & Wagner, Niklas, 2020. "Rich men’s hobby or question of personality: Who considers collectibles as alternative investment?," Finance Research Letters, Elsevier, vol. 35(C).
    3. Potrykus, Marcin, 2022. "Diamond investments – Is the market free from multiple price bubbles?," International Review of Financial Analysis, Elsevier, vol. 83(C).
    4. Jannett Highfill & Kevin M. O’Brien, 2018. "eBay Memorabilia Auctions vis-à -vis Predictions for the 2016 U.S. Presidential Election," The American Economist, Sage Publications, vol. 63(1), pages 71-78, March.
    5. Kleine, Jens & Peschke, Thomas & Wagner, Niklas, 2021. "Collectors: Personality between consumption and investment," Journal of Behavioral and Experimental Finance, Elsevier, vol. 32(C).

11. Péter Erdős & Mihály Ormos, 2012. "Natural Gas Prices on Three Continents," Energies, MDPI, vol. 5(10), pages 1-17, October.

    Cited by:

    1. Feng, Gen-Fu & Wang, Quan-Jing & Chu, Yin & Wen, Jun & Chang, Chun-Ping, 2021. "Does the shale gas boom change the natural gas price-production relationship? Evidence from the U.S. market," Energy Economics, Elsevier, vol. 93(C).
    2. Sonia Benghida & Djamil Benghida, 2018. "Facts From The Contango Situation Of Gas And Oil Markets," Post-Print hal-01696522, HAL.
    3. Chen, Yufeng & Wang, Chuwen & Zhu, Zhitao, 2022. "Toward the integration of European gas futures market under COVID-19 shock: A quantile connectedness approach," Energy Economics, Elsevier, vol. 114(C).
    4. Geng, Jiang-Bo & Ji, Qiang & Fan, Ying, 2016. "The behaviour mechanism analysis of regional natural gas prices: A multi-scale perspective," Energy, Elsevier, vol. 101(C), pages 266-277.
    5. Massimiliano Caporin & Fulvio Fontini, 2015. "The Long-Run Oil-Natural Gas Price Relationship And The Shale Gas Revolution," "Marco Fanno" Working Papers 0198, Dipartimento di Scienze Economiche "Marco Fanno".
       • Caporin, Massimiliano & Fontini, Fulvio, 2017. "The long-run oil–natural gas price relationship and the shale gas revolution," Energy Economics, Elsevier, vol. 64(C), pages 511-519.
    6. Halser, Christoph & Paraschiv, Florentina & Russo, Marianna, 2023. "Oil–gas price relationships on three continents: Disruptions and equilibria," Journal of Commodity Markets, Elsevier, vol. 31(C).
    7. Charles, Don & McLean, Sheldon & Rajkumar, Antonio, 2021. "Navigating transfer pricing risk in the oil and gas sector: Essential elements of a policy framework for Trinidad and Tobago and Guyana," Studies and Perspectives – ECLAC Subregional Headquarters for The Caribbean 46813, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).

12. Péter Hernádi & Mihály Ormos, 2012. "Capital structure and its choice in Central and Eastern Europe," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 62(2), pages 229-263, June.

    Cited by:

    1. Škuláňová Nicole, 2020. "Impact of selected determinants on the financial structure of the mining companies in the selected countries," Review of Economic Perspectives, Sciendo, vol. 20(2), pages 197-215, June.
    2. Aleksandra Stoiljković & Slavica Tomić & Bojan Leković & Milenko Matić, 2022. "Determinants of Capital Structure: Empirical Evidence of Manufacturing Companies in the Republic of Serbia," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    3. Dominika Gajdosikova & Katarina Valaskova & Tomas Kliestik & Maria Kovacova, 2023. "Research on Corporate Indebtedness Determinants: A Case Study of Visegrad Group Countries," Mathematics, MDPI, vol. 11(2), pages 1-30, January.
    4. Péter Hernádi & Mihály Ormos, 2012. "What managers think of capital structure and how they act: Evidence from Central and Eastern Europe," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 12(2), pages 47-71, December.
    5. Jacek Barburski & Artur Hołda, 2023. "Determinants of the Corporate Financing Structure in the Energy and Mining Sectors; A Comparative Analysis Based on the Example of Selected EU Countries for 2012–2020," Energies, MDPI, vol. 16(12), pages 1-29, June.
    6. Andor, Gyorgy & Mohanty, Sunil K. & Toth, Tamas, 2015. "Capital budgeting practices: A survey of Central and Eastern European firms," Emerging Markets Review, Elsevier, vol. 23(C), pages 148-172.
    7. Andrzej Cwynar & Wiktor Cwynar & Robert Dankiewicz, 2016. "Studies of firm capital structure determinants in Poland: an integrative review," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, vol. 11(4), pages 1-22, March.
    8. Monika Wieczorek-Kosmala & Joanna Błach & Iwona Gorzeń-Mitka, 2021. "Does Capital Structure Drive Profitability in the Energy Sector?," Energies, MDPI, vol. 14(16), pages 1-15, August.
    9. Bisera Karanović Gordana Nikolić Goran Karanović, 2019. "Analyzing Capital Structure across Industries: Evidence from Croatia," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 22(SCI2), pages 1-10, December.
    10. Sasho Arsov & Aleksandar Naumoski, 2016. "Determinants of capital structure: An empirical study of companies from selected post-transition economies," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 34(1), pages 119-146.

13. Péter Hernádi & Mihály Ormos, 2012. "What managers think of capital structure and how they act: Evidence from Central and Eastern Europe," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, vol. 12(2), pages 47-71, December.

    Cited by:

    1. Škuláňová Nicole, 2020. "Impact of selected determinants on the financial structure of the mining companies in the selected countries," Review of Economic Perspectives, Sciendo, vol. 20(2), pages 197-215, June.
    2. Petra Růčková & Nicole Škuláňová, 2022. "What Firm-Specific and Macroeconomic Determinants of Financial Structure Affect Transport and Storage Companies from Selected European Countries?," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2022(2), pages 5-32.
    3. Lambert H. de Wet & Sean Joss Gossel, 2016. "South African Capital Structure Decisions: A Survey of Listed Companies," Journal of African Business, Taylor & Francis Journals, vol. 17(2), pages 167-187, May.
    4. Li Li & Zixuan Wang, 2019. "How does capital structure change product-market competitiveness? Evidence from Chinese firms," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-14, February.
    5. Andrzej Cwynar & Wiktor Cwynar & Robert Dankiewicz, 2016. "Studies of firm capital structure determinants in Poland: an integrative review," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, vol. 11(4), pages 1-22, March.
    6. Alina ȚARAN, 2019. "Corporate ownership and capital structure: evidence from Romania," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 10, pages 133-150, June.
    7. Růčková Petra & Heryán Tomáš, 2015. "The Capital Structure Management in Companies of Selected Business Branches of Building in Conditions of the Czech Republic," Prague Economic Papers, Prague University of Economics and Business, vol. 2015(6), pages 699-714.
    8. Heryán Tomáš & Růčková Petra & Cerulli Giovanni, 2024. "Financial Performance Among Top10 Automotive Leaders in the EU: Essential Techniques to Investigate the Structure of Moments While Using the GMM with Dynamic Panel Data," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 34(3), pages 26-59.

14. Erdos, Péter & Ormos, Mihály & Zibriczky, Dávid, 2011. "Non-parametric and semi-parametric asset pricing," Economic Modelling, Elsevier, vol. 28(3), pages 1150-1162, May.
    • Peter Erdos & Mihaly Ormos & David Zibriczky, 2017. "Non-parametric and semi-parametric asset pricing," Papers 1703.09500, arXiv.org.
    See citations under working paper version above.
15. Erdos, Péter & Ormos, Mihály, 2010. "Random walk theory and the weak-form efficiency of the US art auction prices," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 1062-1076, May.

    Cited by:

    1. Penasse, J.N.G. & Renneboog, L.D.R., 2014. "Bubbles and Trading Frenzies : Evidence from the Art Market," Other publications TiSEM 386dd5e7-e672-4d9d-829c-6, Tilburg University, School of Economics and Management.
       • Penasse, J.N.G. & Renneboog, L.D.R., 2014. "Bubbles and Trading Frenzies : Evidence from the Art Market," Discussion Paper 2014-046, Tilburg University, Tilburg Law and Economic Center.
       • Penasse, J.N.G. & Renneboog, L.D.R., 2014. "Bubbles and Trading Frenzies : Evidence from the Art Market," Discussion Paper 2014-068, Tilburg University, Center for Economic Research.
       • Penasse, J.N.G. & Renneboog, L.D.R., 2014. "Bubbles and Trading Frenzies : Evidence from the Art Market," Other publications TiSEM bf0d8984-df7f-4f02-afc7-3, Tilburg University, School of Economics and Management.
    2. Dinabandhu Bag & Saurabh Goel, 2023. "Weak Form of Call Auction Prices: Simulation Using Monte Carlo Variants," Capital Markets Review, Malaysian Finance Association, vol. 31(1), pages 59-71.
    3. David, Géraldine & Oosterlinck, Kim & Szafarz, Ariane, 2013. "Art market inefficiency," Economics Letters, Elsevier, vol. 121(1), pages 23-25.
       • Geraldine David & Kim Oosterlinck & Ariane Szafarz, 2013. "Art Market Inefficiency," ULB Institutional Repository 2013/145737, ULB -- Universite Libre de Bruxelles.
       • Geraldine David & Kim Oosterlinck & Ariane Szafarz, 2013. "Art Market Inefficiency," Working Papers CEB 13-011, ULB -- Universite Libre de Bruxelles.
    4. Goodness C. Aye & Tsangyao Chang & Wen-Yi Chen & Rangan Gupta & Mark Wohar, 2016. "Testing the Efficiency of the Art Market using Quantile-Based Unit Root Tests with Sharp and Smooth Breaks," Working Papers 201625, University of Pretoria, Department of Economics.
    5. Aye, Goodness C. & Gil-Alana, Luis A. & Gupta, Rangan & Wohar, Mark E., 2017. "The efficiency of the art market: Evidence from variance ratio tests, linear and nonlinear fractional integration approaches," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 283-294.
       • Goodness C. Aye & Luis A. Gil-Alana & Rangan Gupta & Mark Wohar, 2016. "The Efficiency of the Art Market: Evidence from Variance Ratio Tests, Linear and Nonlinear Fractional Integration Approaches," Working Papers 201610, University of Pretoria, Department of Economics.
    6. David, Geraldine, 2016. "Art as an investment in a historical perspective," Other publications TiSEM 2361da4b-d827-4cae-91ce-1, Tilburg University, School of Economics and Management.
    7. Chuluun, Tuugi & Eun, Cheol S. & Kiliç, Rehim, 2011. "Investment intensity of currencies and the random walk hypothesis: Cross-currency evidence," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 372-387, February.
    8. Taylor, Dominic & Coleman, Les, 2011. "Price determinants of Aboriginal art, and its role as an alternative asset class," Journal of Banking & Finance, Elsevier, vol. 35(6), pages 1519-1529, June.
    9. Janet Jyothi Dsouza & T. Mallikarjunappa, 2015. "Does the Indian Stock Market Exhibit Random Walk?," Paradigm, , vol. 19(1), pages 1-20, June.
    10. Assaf, Ata & Kristoufek, Ladislav & Demir, Ender & Kumar Mitra, Subrata, 2021. "Market efficiency in the art markets using a combination of long memory, fractal dimension, and approximate entropy measures," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 71(C).
    11. Emmanuel Joel Aikins Abakah & Aviral Kumar Tiwari & Emmanuel Kwesi Arthur & Luis Alberiko Gil-Alana, 2023. "The influence of economic policy uncertainty shocks on art market," Applied Economics, Taylor & Francis Journals, vol. 55(29), pages 3404-3421, June.
    12. Le Fur, Eric, 2020. "Dynamics of the global fine art market prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 167-180.
    13. Assaf, Ata, 2018. "Testing for bubbles in the art markets: An empirical investigation," Economic Modelling, Elsevier, vol. 68(C), pages 340-355.

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 5 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-RMG: Risk Management (4) 2015-01-14 2015-12-12 2016-06-25 2017-04-30
2. NEP-UPT: Utility Models and Prospect Theory (2) 2015-12-12 2017-04-30
3. NEP-FMK: Financial Markets (1) 2016-06-25
4. NEP-MST: Market Microstructure (1) 2016-07-02
5. NEP-NET: Network Economics (1) 2016-06-25

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