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Maria Rosa Borges

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. Lara Mónica Machado Fernandes & Maria Rosa Borges, 2013. "Interbank Linkages and Contagion Risk in the Portuguese Banking System," Working Papers Department of Economics 2013/23, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.

    Cited by:

    1. Shouwei Li & Minghui Zhang, 2016. "Money-center structures in dynamic banking systems," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 89(10), pages 1-7, October.
    2. Huang, Yu-Li & Shen, Chung-Hua, 2019. "Effect of interbank activities on bank risk: Why is China different?," The Quarterly Review of Economics and Finance, Elsevier, vol. 74(C), pages 308-327.
    3. Liang He & Shouwei Li, 2017. "Network Entropy and Systemic Risk in Dynamic Banking Systems," Complexity, Hindawi, vol. 2017, pages 1-7, November.
    4. Shouwei Li & Jianmin He, 2016. "Loss distribution of systemic defaults in different interbank networks," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 27(10), pages 1-9, October.

  2. Maria Rosa Borges & Ana Sofia Branca, 2010. "The Impact of Corporate Rebranding on the Firm's Market Value," Working Papers Department of Economics 2010/13, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.

    Cited by:

    1. Neelam Akbar & Alam Zeb & Shabir Ahmad, 2017. "The Impact of Brand Rejuvenation on Consumer Purchase Intention: Brand Attitude as Mediator," Global Regional Review, Humanity Only, vol. 2(1), pages 197-210, June.
    2. Mohit Gupta & Navdeep Aggarwal, 2018. "Signaling Effect of Shifts in Dividend Policy: Evidence from Indian Capital Markets," Business Perspectives and Research, , vol. 6(2), pages 142-153, July.
    3. Козлова Антонина Алексеевна & Семенова Мария Владимировна, 2017. "Влияет Ли Название На Рыночную Дисциплину: Пример Иностранных Банков В России," Higher School of Economics Economic Journal Экономический журнал Высшей школы экономики, CyberLeninka;Федеральное государственное автономное образовательное учреждение высшего образования «Национальный исследовательский университет «Высшая школа экономики», vol. 21(1), pages 66-88.

  3. Rosa Borges, 2009. "Calendar Effects in Stock Markets: Critique of Previous Methodologies and Recent Evidence in European Countries," Working Papers Department of Economics 2009/37, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.

    Cited by:

    1. Ayman Abdalmajeed Ahmad Al-Smadi & Mahmoud Khalid Almsafir & Nur Hanis Hazwani Binti Husni, 2018. "Trends And Calendar Effects In Malaysia’S Stock Market," Romanian Economic Business Review, Romanian-American University, vol. 13(2), pages 15-22, June.
    2. Sproule, Robert & Gosselin, Gabriel, 2023. "Is the research agenda for calendar anomalies “much do about nothing”?," MPRA Paper 117001, University Library of Munich, Germany.
    3. Hani Nuri Rohuma & Pradeep Brijlal, 2023. "Calendar Month Effect in Bursa Malaysia: A Comparison between Shariah-Compliant Portfolio and Non-Shariah- Compliant Portfolio," International Journal of Economics and Financial Issues, Econjournals, vol. 13(2), pages 12-17, March.
    4. Stavarek, Daniel & Heryan, Tomas, 2012. "Day of the week effect in central European stock markets," MPRA Paper 38431, University Library of Munich, Germany.

  4. Maria Rosa Borges, 2008. "Is the Dividend Puzzle Solved?," Working Papers Department of Economics 2008/38, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.

    Cited by:

    1. Edson Kambeu, 2017. "Significance of a change in dividend payment frequency," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 6(1), pages 134-140, January.

  5. Maria Rosa Borges, 2008. "Efficient Market Hypothesis in European Stock Markets," Working Papers Department of Economics 2008/20, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.

    Cited by:

    1. Xu, Hedong & Tian, Cunzhi & Ye, Wenxing & Fan, Suohai, 2018. "Effects of investors’ power correlations in the power-based game on networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 424-432.
    2. Mensah, Justice T. & Pomaa-Berko, Maame & Adom, Philip Kofi, 2012. "Does Automation Improve Stock Market Efficiency? Evidence from Ghana," MPRA Paper 43642, University Library of Munich, Germany.
    3. Anderloni, Luisa & Tanda, Alessandra, 2017. "Green energy companies: Stock performance and IPO returns," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 546-552.
    4. Adediran, Idris A. & Swaray, Raymond, 2023. "Carbon trading amidst global uncertainty: The role of policy and geopolitical uncertainty," Economic Modelling, Elsevier, vol. 123(C).
    5. Laurel PASRICHA & Neelam DHANDA, 2022. "The past, the present and the prospective future of efficient market hypothesis: a theoretical and empirical investigation of international stock markets," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(631), S), pages 89-106, Summer.
    6. Vieito, João Paulo & Wong, Wing-Keung & Zhu, Zhenzhen, 2015. "Could the global financial crisis improve the performance of the G7 stocks markets?," MPRA Paper 66521, University Library of Munich, Germany.
    7. Ani Stoitsova-Stoykova, 2017. "Relationship Between Public Expectations and Financial Market Dynamics in South- East Europe Capital Markets," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 2, pages 237-250, June.
    8. Umara Noreen & Attayah Shafique & Usman Ayub & Syed Kashif Saeed, 2022. "Does the Adaptive Market Hypothesis Reconcile the Behavioral Finance and the Efficient Market Hypothesis?," Risks, MDPI, vol. 10(9), pages 1-14, August.
    9. Ana Rita Gonzaga & Helder Sebastião, 2012. "As Ações Portuguesas Seguem um Random Walk? Implicações para a Eficiência de Mercado e para a Definição de Estratégias de Transação," GEMF Working Papers 2012-02, GEMF, Faculty of Economics, University of Coimbra.
    10. Feyyaz Zeren & Filiz Konuk, 2013. "Testing The Random Walk Hypothesis For Emerging Markets: Evidence From Linear And Non-Linear Unit Root Tests," Romanian Economic Business Review, Romanian-American University, vol. 8(4), pages 61-71, december.
    11. Ghada Abbas, 2014. "Testing Random Walk Behavior in the Damascus Securities Exchange," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 4(4), pages 317-325, October.
    12. Jitka Veselá & Alžběta Zíková, 2022. "Are the Czech, Polish, German and Dutch markets taking a random walk? [Konají český, polský, německý a nizozemský trh náhodnou procházku?]," Český finanční a účetní časopis, Prague University of Economics and Business, vol. 2022(2), pages 19-38.
    13. Mynhardt, H. R. & Plastun, Alex & Makarenko, Inna, 2014. "Behavior of Financial Markets Efficiency During the Financial Market Crisis: 2007-2009," MPRA Paper 58942, University Library of Munich, Germany.
    14. Bachar Fakhry & Christian Richter, 2018. "Does the Federal Constitutional Court Ruling mean the German Financial Market is Efficient?," Working Papers 46, The German University in Cairo, Faculty of Management Technology.
    15. Erdas Mehmet Levent, 2019. "Validity of Weak-Form Market Efficiency in Central and Eastern European Countries (CEECs): Evidence from Linear and Nonlinear Unit Root Tests," Review of Economic Perspectives, Sciendo, vol. 19(4), pages 399-428, December.
    16. Yarovaya, Larisa & Matkovskyy, Roman & Jalan, Akanksha, 2022. "The COVID-19 black swan crisis: Reaction and recovery of various financial markets," Research in International Business and Finance, Elsevier, vol. 59(C).
    17. Borkowski, Bolesław & Krawiec, Monika & Karwański, Marek & Szczesny, Wiesław & Shachmurove, Yochanan, 2021. "Modeling garch processes in base metals returns using panel data," Resources Policy, Elsevier, vol. 74(C).
    18. Senarathne Chamil W., 2020. "Are Religious Believers Irrational: A Direct Test from an Efficient Market Hypothesis," Financial Sciences. Nauki o Finansach, Sciendo, vol. 25(1), pages 35-53, March.
    19. Yugo Fujimoto & Kei Nakagawa & Kentaro Imajo & Kentaro Minami, 2022. "Uncertainty Aware Trader-Company Method: Interpretable Stock Price Prediction Capturing Uncertainty," Papers 2210.17030, arXiv.org, revised Nov 2022.
    20. Xu, Hedong & Tian, Cunzhi & Xiao, Xinrong & Fan, Suohai, 2018. "Evolutionary investors’ power-based game on networks," Applied Mathematics and Computation, Elsevier, vol. 330(C), pages 125-133.
    21. Sakhr Miss & Michel Charifzadeh & Tim A. Herberger, 2020. "Revisiting the monday effect: a replication study for the German stock market," Management Review Quarterly, Springer, vol. 70(2), pages 257-273, May.
    22. Zouhaier Dhifaoui, 2022. "Determinism and Non-linear Behaviour of Log-return and Conditional Volatility: Empirical Analysis for 26 Stock Markets," South Asian Journal of Macroeconomics and Public Finance, , vol. 11(1), pages 69-94, June.
    23. Hiremath, Gourishankar S & Bandi, Kamaiah, 2010. "Some Further Evidence on the Behaviour of Stock Returns in India," MPRA Paper 48518, University Library of Munich, Germany.
    24. Mohanty, Sunil K. & Mishra, Sibanjan, 2020. "Regulatory reform and market efficiency: The case of Indian agricultural commodity futures markets," Research in International Business and Finance, Elsevier, vol. 52(C).
    25. Yang, Ann Shawing & Pangastuti, Airin, 2016. "Stock market efficiency and liquidity: The Indonesia Stock Exchange merger," Research in International Business and Finance, Elsevier, vol. 36(C), pages 28-40.
    26. Akber, Ushna & Muhammad, Nabeel, 2013. "Is Pakistan Stock Market moving towards Weak-form efficiency? Evidence from the Karachi Stock Exchange and the Random Walk Nature of free-float of shares of KSE 30 Index," MPRA Paper 49128, University Library of Munich, Germany.
    27. Yaser Abolghasemi & Stanko Dimitrov, 2021. "Determining the causality between U.S. presidential prediction markets and global financial markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4534-4556, July.
    28. Hiremath, Gourishankar S & Bandi, Kamaiah, 2009. "On the random walk characteristics of stock returns in India," MPRA Paper 46499, University Library of Munich, Germany.
    29. Boya, Christophe M., 2019. "From efficient markets to adaptive markets: Evidence from the French stock exchange," Research in International Business and Finance, Elsevier, vol. 49(C), pages 156-165.
    30. Sensoy, Ahmet & Tabak, Benjamin M., 2015. "Time-varying long term memory in the European Union stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 147-158.
    31. Dumitru-Nicusor Carausu, 2016. "European Integration And Capital Market Efficiency In Cee Countries," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 661-670, July.
    32. Samuel Showalter & Jeffrey Gropp, 2019. "Validating Weak-form Market Efficiency in United States Stock Markets with Trend Deterministic Price Data and Machine Learning," Papers 1909.05151, arXiv.org.
    33. Siva Kiran & Prabhakar Rao.R, 2019. "Analysis of Stock Market Efficiency in Emerging Markets: Evidence from BRICS," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 22(72), pages 60-77, June.
    34. Ciumas Cristina & Chis Diana-Maria & Botos Horia Mircea, 2012. "Global Financial Crisis And Unit-Linked Insurance Markets Efficiency: Empirical Evidence From Central And Eastern European Countries," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pages 443-448, December.
    35. Majid Mirzaee Ghazani & Mohammad Ali Jafari, 2021. "Cryptocurrencies, gold, and WTI crude oil market efficiency: a dynamic analysis based on the adaptive market hypothesis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-26, December.
    36. Bruce Burton & Satish Kumar & Nitesh Pandey, 2020. "Twenty-five years of The European Journal of Finance (EJF): a retrospective analysis," The European Journal of Finance, Taylor & Francis Journals, vol. 26(18), pages 1817-1841, December.
    37. Wang, Xiao-Qing & Su, Chi-Wei & Lobonţ, Oana-Ramona & Li, Hao & Nicoleta-Claudia, Moldovan, 2022. "Is China's carbon trading market efficient? Evidence from emissions trading scheme pilots," Energy, Elsevier, vol. 245(C).
    38. Lim Kai Jie, Shawn & Chadha, Pavneet & Lau, Joshua & Potdar, Nishad, 2012. "Is the Mongolian Equity Market Efficient? Empirical Evidence from Tests of Weak-Form Efficiency," MPRA Paper 41834, University Library of Munich, Germany.
    39. Ben Ammar, Imen & Hellara, Slaheddine, 2021. "Intraday interactions between high-frequency trading and price efficiency," Finance Research Letters, Elsevier, vol. 41(C).
    40. Halime Temel Nalın & Sevinç Güler, 2015. "Testing The Random Walk Hypothesis: An Application in the BRIC Countries and Turkey," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 18(55), pages 129-148, March.
    41. Francisco Salas-Molina & David Pla-Santamaria & Fernando Mayor-Vitoria & Maria Luisa Vercher-Ferrandiz, 2021. "A Multicriteria Extension of the Efficient Market Hypothesis," Mathematics, MDPI, vol. 9(6), pages 1-16, March.
    42. Md. Abu HASAN, 2017. "Efficiency and Volatility of the Stock Market in Bangladesh: A Macroeconometric Analysis," Turkish Economic Review, KSP Journals, vol. 4(2), pages 239-249, June.
    43. Graham Smith, 2012. "The changing and relative efficiency of European emerging stock markets," The European Journal of Finance, Taylor & Francis Journals, vol. 18(8), pages 689-708, September.
    44. Azubuike Samuel Agbam, 2015. "Tests of Random Walk and Efficient Market Hypothesis in Developing Economies: Evidence from Nigerian Capital Market," International Journal of Management Sciences, Research Academy of Social Sciences, vol. 5(1), pages 1-53.
    45. Helga Å padina, 2016. "Labour Discrimination Related to Pregnancy and Motherhood in Croatia," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 2, ejes_v2_i.
    46. Mirzaee Ghazani, Majid & Khalili Araghi, Mansour, 2014. "Evaluation of the adaptive market hypothesis as an evolutionary perspective on market efficiency: Evidence from the Tehran stock exchange," Research in International Business and Finance, Elsevier, vol. 32(C), pages 50-59.
    47. Siddique, Maryam, 2023. "Does the Adaptive Market Hypothesis Exist in Equity Market? Evidence from Pakistan Stock Exchange," OSF Preprints 9b5dx, Center for Open Science.
    48. Aumeboonsuke, Vesarach & Dryver, Arthur L., 2014. "The importance of using a test of weak-form market efficiency that does not require investigating the data first," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 350-357.
    49. Urquhart, Andrew & Hudson, Robert, 2013. "Efficient or adaptive markets? Evidence from major stock markets using very long run historic data," International Review of Financial Analysis, Elsevier, vol. 28(C), pages 130-142.
    50. Izz eddien N. Ananzeh, 2015. "Weak Form Efficiency of the Amman Stock Exchange: An Empirical Analysis (2000-2013)," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(1), pages 173-173, December.
    51. Stéphane Hamayon & Florence Legros & Pradat Yannick, 2016. "Non gaussian returns: which impact on default options retirement plans? [Distribution non gaussienne des rendements : quel impact sur les options par défaut des plans d'épargne retraite ?]," Working Papers hal-03003588, HAL.
    52. Mamdouh Abdulaziz Saleh Al-Faryan & Everton Dockery, 2021. "Testing for efficiency in the Saudi stock market: does corporate governance change matter?," Review of Quantitative Finance and Accounting, Springer, vol. 57(1), pages 61-90, July.
    53. Mostafa Raeisi Sarkandiz & Robabeh Bahlouli, 2019. "The Stock Market between Classical and Behavioral Hypotheses: An Empirical Investigation of the Warsaw Stock Exchange," Econometric Research in Finance, SGH Warsaw School of Economics, Collegium of Economic Analysis, vol. 4(2), pages 67-88, December.
    54. Andrew Urquhart, 2017. "How predictable are precious metal returns?," The European Journal of Finance, Taylor & Francis Journals, vol. 23(14), pages 1390-1413, November.
    55. Ilhan KUCUKKAPLAN & Emre KILIC & Sevket PAZARCI & Asım KAR, 2023. "Testing the Efficient Market Hypothesis in G8 Countries: New evidence from Unit Root Tests with Fourier Shifts," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 10(1), pages 1-18, January.
    56. Bock, J. & Geissel, S., 2024. "Evolution of stock market efficiency in Europe: Evidence from measuring periods of inefficiency," Finance Research Letters, Elsevier, vol. 62(PA).
    57. Gurjeet Dhesi & Bilal Shakeel & Marcel Ausloos, 2021. "Modelling and forecasting the kurtosis and returns distributions of financial markets: irrational fractional Brownian motion model approach," Annals of Operations Research, Springer, vol. 299(1), pages 1397-1410, April.
    58. Akbar, Muhammad & Ullah, Ihsan & Ali, Shahid & Rehman, Naser, 2024. "Adaptive market hypothesis: A comparison of Islamic and conventional stock indices," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 460-477.
    59. Korhan Gokmenoglu & Siamand Hesami, 2019. "Real estate prices and stock market in Germany: analysis based on hedonic price index," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 12(4), pages 687-707, April.
    60. Gábor Bóta & Mihály Ormos, 2015. "Development of stock market pricing in Central and Eastern Europe through two decades after the transition," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(4), pages 685-708, November.
    61. Ismael Orquín-Serrano, 2020. "Predictive Power of Adaptive Candlestick Patterns in Forex Market. Eurusd Case," Mathematics, MDPI, vol. 8(5), pages 1-34, May.
    62. Yunus Kilic & Mehmet Fatih Bugan, 2016. "The Efficient Market Hypothesis: Evidence from Turkey," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 6(10), pages 262-272, October.
    63. Weiqian Zhang & Songsong Li & Zhichang Guo & Yizhe Yang, 2023. "A hybrid forecasting model based on deep learning feature extraction and statistical arbitrage methods for stock trading strategies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1729-1749, November.
    64. Graham, Michael & Peltomäki, Jarkko & Sturludóttir, Hildur, 2015. "Do capital controls affect stock market efficiency? Lessons from Iceland," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 82-88.
    65. Attayah Shafique & Usman Ayub & Muhammad Shariq & Muhammad Ashfaq, 2022. "Does Voracious Behavior favor Efficient Market Hypothesis? Role of Performance Measures," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 69(4), pages 631-649, December.
    66. Leković Miljan, 2018. "Evidence for and Against the Validity of Efficient Market Hypothesis," Economic Themes, Sciendo, vol. 56(3), pages 369-387, September.
    67. Andrew Urquhart, 2014. "The Euro and European stock market efficiency," Applied Financial Economics, Taylor & Francis Journals, vol. 24(19), pages 1235-1248, October.
    68. Musarrat SHAMSHIR & Mirza Jawwad BAIG & Khalid MUSTAFA, 2018. "Evidence of random walk in Pakistan stock exchange: An emerging stock market study," Journal of Economics Library, KSP Journals, vol. 5(1), pages 103-117, March.
    69. Błażej Prusak & Marcin Potrykus, 2021. "Short-Term Price Reaction to Filing for Bankruptcy and Restructuring Proceedings—The Case of Poland," Risks, MDPI, vol. 9(3), pages 1-14, March.
    70. A. Sensoy & Benjamin M. Tabak, 2013. "How much random does European Union walk? A time-varying long memory analysis," Working Papers Series 342, Central Bank of Brazil, Research Department.
    71. Andreas Andrikopoulos & Aristeidis Samitas & Konstantinos Kougepsakis, 2014. "Volatility transmission across currencies and stock markets: GIIPS in crisis," Applied Financial Economics, Taylor & Francis Journals, vol. 24(19), pages 1261-1283, October.
    72. Vasile Brătian & Ana-Maria Acu & Camelia Oprean-Stan & Emil Dinga & Gabriela-Mariana Ionescu, 2021. "Efficient or Fractal Market Hypothesis? A Stock Indexes Modelling Using Geometric Brownian Motion and Geometric Fractional Brownian Motion," Mathematics, MDPI, vol. 9(22), pages 1-20, November.

  6. Maria Rosa Borges, 2007. "Random Walk Tests for the Lisbon Stock Market," Working Papers Department of Economics 2007/14, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.

    Cited by:

    1. Ana Sofia Branca & Maria Rosa Borges, 2011. "The Impact of Corporate Rebranding on the Firm‟s Market Value," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 1(4), pages 175-175.
    2. Graham Smith & Aneta Dyakova, 2014. "African Stock Markets: Efficiency and Relative Predictability," South African Journal of Economics, Economic Society of South Africa, vol. 82(2), pages 258-275, June.
    3. Ana Rita Gonzaga & Helder Sebastião, 2012. "As Ações Portuguesas Seguem um Random Walk? Implicações para a Eficiência de Mercado e para a Definição de Estratégias de Transação," GEMF Working Papers 2012-02, GEMF, Faculty of Economics, University of Coimbra.
    4. Batuo Enowbi, Michael & Guidi, Francesco & Mlambo, Kupukile, 2009. "Testing the weak-form market efficiency and the day of the week effects of some African countries," MPRA Paper 19116, University Library of Munich, Germany.
    5. Oleg Malafeyev & Achal Awasthi & Kaustubh S. Kambekar, 2017. "Random walks and market efficiency in Chinese and Indian equity markets," Papers 1709.04059, arXiv.org.
    6. Achal Awasthi & Oleg Malafeyev, 2015. "Is the Indian Stock Market efficient - A comprehensive study of Bombay Stock Exchange Indices," Papers 1510.03704, arXiv.org.
    7. Hiremath, Gourishankar S & Bandi, Kamaiah, 2010. "Some Further Evidence on the Behaviour of Stock Returns in India," MPRA Paper 48518, University Library of Munich, Germany.
    8. Saralees Nadarajah & Bo Zhang & Stephen Chan, 2014. "Estimation methods for expected shortfall," Quantitative Finance, Taylor & Francis Journals, vol. 14(2), pages 271-291, February.
    9. Hiremath, Gourishankar S & Bandi, Kamaiah, 2009. "On the random walk characteristics of stock returns in India," MPRA Paper 46499, University Library of Munich, Germany.
    10. Sashikanta Khuntia & J. K. Pattanayak, 2020. "Evolving Efficiency of Exchange Rate Movement: An Evidence from Indian Foreign Exchange Market," Global Business Review, International Management Institute, vol. 21(4), pages 956-969, August.
    11. Qishui Chi & Jieyi Huo, 2017. "An Empirical Study on the Stock Price Volatility of Small and Medium Enterprise Board in China," Research in World Economy, Research in World Economy, Sciedu Press, vol. 8(2), pages 12-24, December.
    12. Graham Smith, 2012. "The changing and relative efficiency of European emerging stock markets," The European Journal of Finance, Taylor & Francis Journals, vol. 18(8), pages 689-708, September.
    13. Michalis Skourtos & Dimitris Damigos & Areti Kontogianni & Christos Tourkolias & Alistair Hunt, 2019. "Embedding Preference Uncertainty for Environmental Amenities in Climate Change Economic Assessments: A “Random” Step Forward," Economies, MDPI, vol. 7(4), pages 1-22, October.
    14. Aneta Dyakova & Graham Smith, 2013. "The evolution of stock market predictability in Bulgaria," Applied Financial Economics, Taylor & Francis Journals, vol. 23(9), pages 805-816, May.
    15. Kim Oosterlinck & Jeremy Simon, 2015. "Financial Repression and Bond Market Efficiency: the Case of Italy during World War II," Working Papers CEB 15-001, ULB -- Universite Libre de Bruxelles.
    16. Lars Tegtmeier, 2021. "Testing the Efficiency of Globally Listed Private Equity Markets," JRFM, MDPI, vol. 14(7), pages 1-16, July.

Articles

  1. Carla Fernandes & Maria Rosa Borges & Jorge Caiado, 2021. "The contribution of digital financial services to financial inclusion in Mozambique: an ARDL model approach," Applied Economics, Taylor & Francis Journals, vol. 53(3), pages 400-409, January.

    Cited by:

    1. Tao Cen & Shuping Lin & Qiaoyun Wu, 2022. "How Does Digital Economy Affect Rural Revitalization? The Mediating Effect of Industrial Upgrading," Sustainability, MDPI, vol. 14(24), pages 1-13, December.
    2. Kenan İlarslan, 2024. "Non-parametric evidence on the determinants of access to financial services in the countries of the Organization of Turkic States," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 14(4), pages 1035-1055, December.

  2. Maria Rosa Borges & Ana Sofia Tavares, 2020. "Determinants of Bank Performance in the Context of Crisis: A Panel Data Analysis for Portugal," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 674-686.

    Cited by:

    1. Marta Anita Karaś & Michał Boda, 2024. "Stabilność i wyniki finansowe banków w krajach Europy graniczących z konfliktem militarnym w Ukrainie," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 64-111.
    2. Zogjani, Jeton & Kovaci-Uruci, Fife, 2023. "History and development of the banking sector in Kosovo," MPRA Paper 115930, University Library of Munich, Germany.

  3. Gubareva, Mariya & Borges, Maria Rosa, 2020. "Switching interest rate sensitivity regimes of U.S. Corporates," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).

    Cited by:

    1. Mariya Gubareva, 2019. "Weight of the Default Component of CDS Spreads: Avoiding Procyclicality in Credit Loss Provisioning Framework," Complexity, Hindawi, vol. 2019, pages 1-19, July.

  4. Maria Rosa Borges & Lauriano Ulica & Mariya Gubareva, 2020. "Systemic risk in the Angolan interbank payment system – a network approach," Applied Economics, Taylor & Francis Journals, vol. 52(45), pages 4900-4912, September.

    Cited by:

    1. Yang, Xite & Zhang, Qin & Liu, Haiyue & Liu, Zihan & Tao, Qiufan & Lai, Yongzeng & Huang, Linya, 2024. "Economic policy uncertainty, macroeconomic shocks, and systemic risk: Evidence from China," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    2. Keddad, Benjamin & Obiang, Jean Robert Obiang, 2024. "Determinants of deposits volatility: The case of the microfinance sector in gabon," Research in International Business and Finance, Elsevier, vol. 67(PA).
    3. Aref Mahdavi Ardekani, 2020. "Liquidity, Interbank Network Topology and Bank Capital," Documents de travail du Centre d'Economie de la Sorbonne 20022, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    4. Naveed, Muhammad & Ali, Shoaib & Gubareva, Mariya & Omri, Anis, 2024. "When giants fall: Tracing the ripple effects of Silicon Valley Bank (SVB) collapse on global financial markets," Research in International Business and Finance, Elsevier, vol. 67(PA).
    5. Lv, Jiamin & Ben, Shenglin & Huang, Wenli & Xu, Yueling, 2023. "How to reduce the default contagion risk of intercorporate credit guarantee networks? Evidence from China," Emerging Markets Review, Elsevier, vol. 55(C).
    6. Rubio, Jeniffer & Pérez, Bryan & Arroyo, John, 2021. "Risk monitoring in Ecuador's payment system: Implementation of a network topology study," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(3).
    7. Mengting Li & Qifa Xu & Cuixia Jiang & Qinna Zhao, 2023. "The role of tail network topological characteristic in portfolio selection: A TNA‐PMC model," International Review of Finance, International Review of Finance Ltd., vol. 23(1), pages 37-57, March.

  5. Maria Rosa Borges & José Zorro Mendes & André Pereira, 2019. "The Value of Information: The Impact of European Union Bank Stress Tests on Stock Markets," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 25(4), pages 429-444, November.

    Cited by:

    1. Beyer, Andreas & Schreiner, Lena, 2024. "The impact of ECB Banking Supervision on climate risk and sustainable finance," Working Paper Series 2952, European Central Bank.
    2. Kasim Ahmed & Giovanni Calice, 2023. "The effects of supervisory stress testing on bank lending: examining large UK banks," Journal of Banking Regulation, Palgrave Macmillan, vol. 24(2), pages 228-247, June.
    3. Ferretti, Riccardo & Venturelli, Valeria & Azzaretto, Alessandro, 2023. "Does individual SREP results reveal real news?," Finance Research Letters, Elsevier, vol. 57(C).
    4. Ahmed, Kasim & Calice, Giovanni, 2024. "The effects of the EBA's stress testing framework on banks' lending," Economic Modelling, Elsevier, vol. 132(C).

  6. Mariya Gubareva & Maria Rosa Borges, 2018. "Binary interest rate sensitivities of emerging market corporate bonds," The European Journal of Finance, Taylor & Francis Journals, vol. 24(17), pages 1569-1586, November.

    Cited by:

    1. Z. Umar & O.B. Adekoya & M. Gubareva & Sabri Boubaker, 2023. "Returns and Volatility Connectedness among the EurozoDne Equity Markets," Post-Print hal-04434044, HAL.
    2. Mariya Gubareva & Maria Rosa Borges, 2018. "Rethinking economic capital management through the integrated derivative-based treatment of interest rate and credit risk," Annals of Operations Research, Springer, vol. 266(1), pages 71-100, July.
    3. Mariya Gubareva & Benjamin Keddad, 2022. "Emerging markets financial sector debt: A Markov‐switching study of interest rate sensitivity," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 3851-3863, October.
    4. Mariya Gubareva & Zaghum Umar, 2023. "Emerging market debt and the COVID‐19 pandemic: A time–frequency analysis of spreads and total returns dynamics," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 112-126, January.

  7. Mariya Gubareva & Maria Rosa Borges, 2018. "Rethinking economic capital management through the integrated derivative-based treatment of interest rate and credit risk," Annals of Operations Research, Springer, vol. 266(1), pages 71-100, July.

    Cited by:

    1. Gubareva, Mariya & Borges, Maria Rosa, 2020. "Switching interest rate sensitivity regimes of U.S. Corporates," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    2. González, Oliver & Keddad, Benjamin, 2024. "The Piggy Bank Index: An intuitive risk measure to assess liquidity and capital adequacy in banks," Finance Research Letters, Elsevier, vol. 60(C).
    3. Mariya Gubareva & Benjamin Keddad, 2022. "Emerging markets financial sector debt: A Markov‐switching study of interest rate sensitivity," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 3851-3863, October.
    4. Mariya Gubareva, 2019. "Weight of the Default Component of CDS Spreads: Avoiding Procyclicality in Credit Loss Provisioning Framework," Complexity, Hindawi, vol. 2019, pages 1-19, July.
    5. Mariya Gubareva & Maria Rosa Borges, 2022. "Governed by the cycle: interest rate sensitivity of emerging market corporate debt," Annals of Operations Research, Springer, vol. 313(2), pages 991-1019, June.
    6. Mariya Gubareva, 2018. "Historical Interest Rate Sensitivity of Emerging Market Sovereign Debt: Evidence of Regime Dependent Behavior," Annals of Economics and Finance, Society for AEF, vol. 19(2), pages 405-442, November.
    7. Deshun Xu & Junhai Ma, 2018. "The Credit Asset of Enterprise Accounts Receivable Pricing Model," Complexity, Hindawi, vol. 2018, pages 1-16, October.

  8. Mariya Gubareva & Maria Rosa Borges, 2017. "Interest rate, liquidity, and sovereign risk: derivative-based VaR," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 18(4), pages 443-465, August.

    Cited by:

    1. Mariya Gubareva & Benjamin Keddad, 2022. "Emerging markets financial sector debt: A Markov‐switching study of interest rate sensitivity," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 3851-3863, October.
    2. Mariya Gubareva & Maria Rosa Borges, 2022. "Governed by the cycle: interest rate sensitivity of emerging market corporate debt," Annals of Operations Research, Springer, vol. 313(2), pages 991-1019, June.
    3. Mariya Gubareva, 2018. "Historical Interest Rate Sensitivity of Emerging Market Sovereign Debt: Evidence of Regime Dependent Behavior," Annals of Economics and Finance, Society for AEF, vol. 19(2), pages 405-442, November.

  9. Mariya Gubareva & Maria Rosa Borges, 2016. "Typology for flight-to-quality episodes and downside risk measurement," Applied Economics, Taylor & Francis Journals, vol. 48(10), pages 835-853, February.

    Cited by:

    1. Gubareva, Mariya & Borges, Maria Rosa, 2020. "Switching interest rate sensitivity regimes of U.S. Corporates," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    2. Z. Umar & O.B. Adekoya & M. Gubareva & Sabri Boubaker, 2023. "Returns and Volatility Connectedness among the EurozoDne Equity Markets," Post-Print hal-04434044, HAL.
    3. Mariya Gubareva & Maria Rosa Borges, 2018. "Rethinking economic capital management through the integrated derivative-based treatment of interest rate and credit risk," Annals of Operations Research, Springer, vol. 266(1), pages 71-100, July.
    4. Mariya Gubareva & Benjamin Keddad, 2022. "Emerging markets financial sector debt: A Markov‐switching study of interest rate sensitivity," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 3851-3863, October.
    5. Mariya Gubareva & Zaghum Umar, 2023. "Emerging market debt and the COVID‐19 pandemic: A time–frequency analysis of spreads and total returns dynamics," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 112-126, January.
    6. Andreas Humpe & David G. McMillan, 2018. "Equity/bond yield correlation and the FED model: evidence of switching behaviour from the G7 markets," Journal of Asset Management, Palgrave Macmillan, vol. 19(6), pages 413-428, October.
    7. Doaa Samy Sedeek & Khairy Elgiziry, 2020. "Flight to Quality Existence in the Egyptian Stock Market: An Analysis of Stock Market, Quality Stock and Treasury Bills," Accounting and Finance Research, Sciedu Press, vol. 9(2), pages 1-1, May.
    8. Umar, Zaghum & Gubareva, Mariya, 2021. "Faith-based investments and the Covid-19 pandemic: Analyzing equity volatility and media coverage time-frequency relations," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).
    9. Mariya Gubareva & Maria Rosa Borges, 2022. "Governed by the cycle: interest rate sensitivity of emerging market corporate debt," Annals of Operations Research, Springer, vol. 313(2), pages 991-1019, June.
    10. Mariya Gubareva, 2018. "Historical Interest Rate Sensitivity of Emerging Market Sovereign Debt: Evidence of Regime Dependent Behavior," Annals of Economics and Finance, Society for AEF, vol. 19(2), pages 405-442, November.
    11. Umar, Zaghum & Gubareva, Mariya & Tran, Dang Khoa & Teplova, Tamara, 2021. "Impact of the Covid-19 induced panic on the Environmental, Social and Governance leaders equity volatility: A time-frequency analysis," Research in International Business and Finance, Elsevier, vol. 58(C).
    12. Gubareva, Mariya, 2021. "The impact of Covid-19 on liquidity of emerging market bonds," Finance Research Letters, Elsevier, vol. 41(C).
    13. Umar, Zaghum & Gubareva, Mariya & Teplova, Tamara, 2021. "The impact of Covid-19 on commodity markets volatility: Analyzing time-frequency relations between commodity prices and coronavirus panic levels," Resources Policy, Elsevier, vol. 73(C).
    14. Mariya Gubareva, 2021. "Covid-19 and high-yield emerging market bonds: insights for liquidity risk management," Risk Management, Palgrave Macmillan, vol. 23(3), pages 193-212, September.
    15. Ali, Shoaib & Naveed, Muhammad & Hanif, Hasan & Gubareva, Mariya, 2024. "The resilience of Shariah-compliant investments: Probing the static and dynamic connectedness between gold-backed cryptocurrencies and GCC equity markets," International Review of Financial Analysis, Elsevier, vol. 91(C).

  10. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.

    Cited by:

    1. Economou, Polychronis & Malefaki, Sonia & Kounetas, Konstantinos, 2019. "Productive Performance and Technology Gaps using a Bayesian Metafrontier Production Function: A cross-country comparison," MPRA Paper 94462, University Library of Munich, Germany.
    2. Bernstein, David H. & Parmeter, Christopher F. & Tsionas, Mike G., 2023. "On the performance of the United States nuclear power sector: A Bayesian approach," Energy Economics, Elsevier, vol. 125(C).
    3. Filippini, M. & Greene, W. & Masiero, G., 2018. "Persistent and transient productive inefficiency in a regulated industry: electricity distribution," Energy Economics, Elsevier, vol. 69(C), pages 325-334.
    4. Daniel Albalate & Jordi Rosell, 2016. "Persistent and transient efficiency on the stochastic production and cost frontiers – an application to the motorway sector," Working Papers XREAP2016-04, Xarxa de Referència en Economia Aplicada (XREAP), revised Oct 2016.
    5. Alizadeh, Reza & Gharizadeh Beiragh, Ramin & Soltanisehat, Leili & Soltanzadeh, Elham & Lund, Peter D., 2020. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach," Energy Economics, Elsevier, vol. 91(C).
    6. Mingyue Wang & Yu Liu & Yawen Liu & Shunxiang Yang & Lingyu Yang, 2018. "Assessing Multiple Pathways for Achieving China’s National Emissions Reduction Target," Sustainability, MDPI, vol. 10(7), pages 1-16, June.
    7. Albalate, Daniel & Rosell, Jordi, 2019. "On the efficiency of toll motorway companies in Spain," Research in Transportation Economics, Elsevier, vol. 76(C).
    8. Lin, Boqiang & Xie, Yongjing, 2023. "Does digital transformation improve the operational efficiency of Chinese power enterprises?," Utilities Policy, Elsevier, vol. 82(C).
    9. Massimo Filippini & Thomas Geissmann & William H. Greene, 2018. "Persistent and transient cost efficiency—an application to the Swiss hydropower sector," Journal of Productivity Analysis, Springer, vol. 49(1), pages 65-77, February.
    10. Khalili-Damghani, Kaveh & Tavana, Madjid & Santos-Arteaga, Francisco J. & Mohtasham, Sima, 2015. "A dynamic multi-stage data envelopment analysis model with application to energy consumption in the cotton industry," Energy Economics, Elsevier, vol. 51(C), pages 320-328.
    11. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Xiao, Xing-Zhi & Tian, Zhen-Zhen & Yang, Xiao-Yuan & Wang, Jian-Lin, 2016. "Cost efficiency of electric grid utilities in China: A comparison of estimates from SFA–MLE, SFA–Bayes and StoNED–CNLS," Energy Economics, Elsevier, vol. 55(C), pages 272-283.
    12. Zhang, Ning & Wang, Bing, 2015. "A deterministic parametric metafrontier Luenberger indicator for measuring environmentally-sensitive productivity growth: A Korean fossil-fuel power case," Energy Economics, Elsevier, vol. 51(C), pages 88-98.
    13. Zhang, Ning & Zhao, Yu & Wang, Na, 2022. "Is China's energy policy effective for power plants? Evidence from the 12th Five-Year Plan energy saving targets," Energy Economics, Elsevier, vol. 112(C).
    14. Xin Long Xu & Sen Qiao & Hsing Hung Chen, 2020. "Exploring the efficiency of new energy generation: Evidence from OECD and non-OECD countries," Energy & Environment, , vol. 31(3), pages 389-404, May.
    15. Zhong, Meirui & Huang, Gangli & He, Ruifang, 2022. "The technological innovation efficiency of China's lithium-ion battery listed enterprises: Evidence from a three-stage DEA model and micro-data," Energy, Elsevier, vol. 246(C).
    16. Li, Ke & Lin, Boqiang, 2017. "An application of a double bootstrap to investigate the effects of technological progress on total-factor energy consumption performance in China," Energy, Elsevier, vol. 128(C), pages 575-585.
    17. Zhang, Ning & Wang, Bing & Chen, Zhongfei, 2016. "Carbon emissions reductions and technology gaps in the world's factory, 1990–2012," Energy Policy, Elsevier, vol. 91(C), pages 28-37.
    18. Cao, Hongjian & Wang, Bizhe & Li, Ke, 2021. "Regulatory policy and misallocation: A new perspective based on the productivity effect of cleaner production standards in China's energy firms," Energy Policy, Elsevier, vol. 152(C).
    19. Haider, Salman & Mishra, Prajna Paramita, 2021. "Does innovative capability enhance the energy efficiency of Indian Iron and Steel firms? A Bayesian stochastic frontier analysis," Energy Economics, Elsevier, vol. 95(C).
    20. Liu, Xiao & Hang, Ye & Wang, Qunwei & Chiu, Ching-Ren & Zhou, Dequn, 2022. "The role of energy consumption in global carbon intensity change: A meta-frontier-based production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 109(C).
    21. Elwell, Clifford A. & Biddulph, Phillip & Lowe, Robert & Oreszczyn, Tadj, 2015. "Determining the impact of regulatory policy on UK gas use using Bayesian analysis on publicly available data," Energy Policy, Elsevier, vol. 86(C), pages 770-783.
    22. Guangming Rao & Bin Su & Jinlian Li & Yong Wang & Yanhua Zhou & Zhaolin Wang, 2019. "Carbon Sequestration Total Factor Productivity Growth and Decomposition: A Case of the Yangtze River Economic Belt of China," Sustainability, MDPI, vol. 11(23), pages 1-28, November.
    23. Yongrok Choi & Yunning Ma & Yu Zhao & Hyoungsuk Lee, 2023. "Inequality in Fossil Fuel Power Plants in China: A Perspective of Efficiency and Abatement Cost," Sustainability, MDPI, vol. 15(5), pages 1-15, March.
    24. Zhang, H. & Fan, L.W. & Zhou, P., 2020. "Handling heterogeneity in frontier modeling of city-level energy efficiency: The case of China," Applied Energy, Elsevier, vol. 279(C).

  11. Maria Rosa Borges & Ricardo Gairifo, 2013. "Abnormal returns before acquisition announcements: evidence from Europe," Applied Economics, Taylor & Francis Journals, vol. 45(26), pages 3723-3732, September.

    Cited by:

    1. Antonio Roma, 2022. "Is the value effect due to M&A deals? Evidence from the Italian stock market," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 51(1), February.

  12. Maria Rosa Borges, 2011. "Random walk tests for the Lisbon stock market," Applied Economics, Taylor & Francis Journals, vol. 43(5), pages 631-639.
    See citations under working paper version above.
  13. Maria Rosa Borges, 2010. "Efficient market hypothesis in European stock markets," The European Journal of Finance, Taylor & Francis Journals, vol. 16(7), pages 711-726.
    See citations under working paper version above.
  14. Maria Borges, 2008. "The Ex-Dividend Day Stock Price Behavior: The Case of Portugal," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 36(1), pages 15-30, March.

    Cited by:

    1. Renata Legenzova & Otilija Jurakovaite & Agne Galinskaite, 2017. "The Analysis of Dividend Announcement Impact on Stock Prices of Baltic Companies," Central European Business Review, Prague University of Economics and Business, vol. 2017(1), pages 61-76.

  15. Maria Rosa Borges & Milton Nektarios & Carlos Pestana Barros, 2008. "Analysing The Efficiency Of The Greek Life Insurance Industry," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 35-52.

    Cited by:

    1. Dariush Akbarian, 2021. "Network DEA based on DEA-ratio," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-26, December.
    2. Kanitsorn Terdpaopong & Robert C. Rickards, 2021. "Thai Non-Life Insurance Companies’ Resilience and the Historic 2011 Floods: Some Recommendations for Greater Sustainability," Sustainability, MDPI, vol. 13(16), pages 1-19, August.
    3. Carlos Pestana Barros & Silvestre Dumbo & Peter Wanke, 2014. "Efficiency Determinants and Capacity Issues in Angolan Insurance Companies," South African Journal of Economics, Economic Society of South Africa, vol. 82(3), pages 455-467, September.
    4. Wanke, Peter & Barros, Carlos Pestana, 2016. "Efficiency drivers in Brazilian insurance: A two-stage DEA meta frontier-data mining approach," Economic Modelling, Elsevier, vol. 53(C), pages 8-22.
    5. Chia-Chin Chang & Chia-Syuan Chang, 2023. "Influences of Talent Cultivation and Utilization on the National Human Resource Development System Performance: An International Study Using a Two-Stage Data Envelopment Analysis Model," Mathematics, MDPI, vol. 11(13), pages 1-18, June.
    6. Dean Uckar & Danijel Petrovic, 2022. "Efficiency Of Insurance Companies In Croatia," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 31(1), pages 49-79, june.

  16. Maria Borges, 2007. "Underpricing of Initial Public Offerings: The Case of Portugal," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 13(1), pages 65-80, February.

    Cited by:

    1. Nuno Silva & Helder Sebastião & Diogo Henriques, 2021. "IPO Patterns in Euronext After the Global Financial Crisis of 2007-2008," Notas Económicas, Faculty of Economics, University of Coimbra, issue 52, pages 137-155, july.
    2. Lee, Chien-Chiang & Ning, Shaolin & Hsieh, Meng-Fen & Lee, Chi-Chuan, 2020. "The going-public decision and rent-seeking activities: Evidence from Chinese private companies," Economic Systems, Elsevier, vol. 44(1).
    3. Nino Fonseca, 2021. "Tourism Resources, Tourism Specialization and Economic Growth," Notas Económicas, Faculty of Economics, University of Coimbra, issue 52, pages 113-135, july.
    4. Muhammad Zubair Mumtaz & Zachary A. Smith & Ather Maqsood Ahmed, 2016. "An examination of short-run performance of IPOs using Extreme Bounds Analysis," Estudios de Economia, University of Chile, Department of Economics, vol. 43(1 Year 20), pages 71-95, June.
    5. Oumou Kalsoum Diallo & Pierre Mendy, 2019. "Wavelet Leader and Multifractal Detrended Fluctuation Analysis of Market Efficiency: Evidence from WAEMU Market Index," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 5(1), pages 1-23, June.
    6. Naudé, Wim & Cameron, Martin, 2020. "Export-Led Growth after COVID-19: The Case of Portugal," IZA Discussion Papers 13875, Institute of Labor Economics (IZA).
    7. Jog, Vijay & Otchere, Isaac & Sun, Chengye, 2019. "Does the two-stage IPO process reduce underpricing and long run underperformance? Evidence from Chinese firms listed in the U.S," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 59(C), pages 90-105.
    8. Daniel Murta, 2021. "Autonomous Vehicles and Public Transportation," Notas Económicas, Faculty of Economics, University of Coimbra, issue 53, pages 103-121, December.
    9. Óscar Afonso & Carlos Pinto & Paulo Beleza Vasconcelos, 2021. "Intra-Industry Trade: Economies of Scale Revisited," Notas Económicas, Faculty of Economics, University of Coimbra, issue 52, pages 53-73, July.
    10. Aleksandar Zdravkov Vasilev, 2021. "How Quantitatively Important are the Shocks to the Time Endowment for Business Cycle Fluctuations? Lessons Learnt From Bulgaria (1999-2018)," Notas Económicas, Faculty of Economics, University of Coimbra, issue 52, pages 99-112, july.
    11. Wei-Bin Zhang, 2021. "Global Knowledge and Wealth with National Human Capital and Free Trade," Notas Económicas, Faculty of Economics, University of Coimbra, issue 52, pages 75-98, july.

  17. Carlos Pestana Barros & Nazaré Barroso & Maria Rosa Borges, 2005. "Evaluating the Efficiency and Productivity of Insurance Companies with a Malmquist Index: A Case Study for Portugal," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 30(2), pages 244-267, April.

    Cited by:

    1. Gonzalo Rodríguez‐Pérez & John Slof & Magda Solà & Margarita Torrent & Immaculada Vilardell, 2011. "Assessing the Impact of Fair‐Value Accounting on Financial Statement Analysis: A Data Envelopment Analysis Approach," Abacus, Accounting Foundation, University of Sydney, vol. 47(1), pages 61-84, March.
    2. Mahlberg, Bernhard & Url, Thomas, 2010. "Single Market effects on productivity in the German insurance industry," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1540-1548, July.
    3. Wen-Cheng Lu & Ting-Kun Liu, 2010. "Malmquist Indices Of R&D Productivity Growth In Taiwanese Ic-Design Industry," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 4(1), pages 105-114.
    4. Barros, Carlos Pestana & Nektarios, Milton & Assaf, A., 2010. "Efficiency in the Greek insurance industry," European Journal of Operational Research, Elsevier, vol. 205(2), pages 431-436, September.
    5. Tone, Kaoru & Kweh, Qian Long & Lu, Wen-Min & Ting, Irene Wei Kiong, 2019. "Modeling investments in the dynamic network performance of insurance companies," Omega, Elsevier, vol. 88(C), pages 237-247.
    6. Carlos Pestana Barrosa & Milton Nektariosb & Nicolas Peypochc, 2009. "A Luenberger Index for the Greek Life Insurance Industry," European Research Studies Journal, European Research Studies Journal, vol. 0(4), pages 3-18.
    7. Alshammari, Ahmad Alrazni & Alhabshi, Syed Musa & Saiti, Buerhan, 2019. "The impact of oil prices and the financial market on cost efficiency in the insurance and Takaful sectors: Evidence from a stochastic frontier analysis," Economic Systems, Elsevier, vol. 43(3).
    8. Chen, Fu-Chiang & Liu, Z.-John & Kweh, Qian Long, 2014. "Intellectual capital and productivity of Malaysian general insurers," Economic Modelling, Elsevier, vol. 36(C), pages 413-420.
    9. Gustavo Ferro & Sonia León, 2018. "A Stochastic Frontier Analysis of Efficiency in Argentina’s Non-Life Insurance Market," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(1), pages 158-174, January.
    10. Carlos Pestana Barros & Silvestre Dumbo & Peter Wanke, 2014. "Efficiency Determinants and Capacity Issues in Angolan Insurance Companies," South African Journal of Economics, Economic Society of South Africa, vol. 82(3), pages 455-467, September.
    11. Duarte Miguel Machado Carneiro de Brito & Pedro Pereira & Joaquim José dos Santos Ramalho, 2013. "Mergers, Coordinated Effects and Efficiency in the Portuguese Non-Life Insurance Industry," CEFAGE-UE Working Papers 2013_18, University of Evora, CEFAGE-UE (Portugal).
    12. Shoaib Alam Siddiqui, 2022. "How efficient is Indian health insurance sector: An SBM‐DEA study," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(4), pages 950-962, June.
    13. Biener, Christian & Eling, Martin & Wirfs, Jan Hendrik, 2016. "The determinants of efficiency and productivity in the Swiss insurance industry," European Journal of Operational Research, Elsevier, vol. 248(2), pages 703-714.
    14. Dimitrios G. Giantsios & Athanasios G. Noulas, 2020. "Cost Efficiency and Convergence in the European Nonlife Insurance Industry," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 10(6), pages 1-6.
    15. Adnan Kasman & Evrim Turgutlu, 2011. "Performance of European insurance firms in the single insurance market," International Review of Applied Economics, Taylor & Francis Journals, vol. 25(3), pages 363-378.
    16. Milton Nektarios & Panos Xenos & George Nektarios & Kostas Poulakis & Michalis Chouzouris, 2015. "Efficiency Analysis of Lloyd’s Syndicates: A Comparison of DEA and SFA Approaches," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 65(1-2), pages 27-46, January-M.
    17. Jarraya, Bilel & Bouri, Abdelfettah, 2012. "Efficiency concept and investigations in insurance industry: A survey," MPRA Paper 53544, University Library of Munich, Germany, revised 2013.
    18. Maria Rosa Borges & Milton Nektarios & Carlos Pestana Barros, 2008. "Analysing The Efficiency Of The Greek Life Insurance Industry," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 35-52.
    19. Alshammari, Ahmad Alrazni & Syed Jaafar Alhabshi, Syed Musa bin & Saiti, Buerhan, 2019. "The impact of competition on cost efficiency of insurance and takaful sectors: Evidence from GCC markets based on the Stochastic Frontier Analysis," Research in International Business and Finance, Elsevier, vol. 47(C), pages 410-427.
    20. Wanke, Peter & Barros, Carlos Pestana, 2016. "Efficiency drivers in Brazilian insurance: A two-stage DEA meta frontier-data mining approach," Economic Modelling, Elsevier, vol. 53(C), pages 8-22.
    21. Kaffash, Sepideh & Azizi, Roza & Huang, Ying & Zhu, Joe, 2020. "A survey of data envelopment analysis applications in the insurance industry 1993–2018," European Journal of Operational Research, Elsevier, vol. 284(3), pages 801-813.
    22. Sepideh Kaffash & Reza Kazemi Matin & Mohammad Tajik, 2018. "A directional semi-oriented radial DEA measure: an application on financial stability and the efficiency of banks," Annals of Operations Research, Springer, vol. 264(1), pages 213-234, May.
    23. Emília Zimková, 2015. "Technical Efficiency and Super-efficiency of the Insurance Sector in Slovakia," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 63(6), pages 2205-2211.
    24. Cummins, J. David & Rubio-Misas, María & Vencappa, Dev, 2017. "Competition, efficiency and soundness in European life insurance markets," Journal of Financial Stability, Elsevier, vol. 28(C), pages 66-78.
    25. Mohammad Nourani & VGR Chandran & Qian Long Kweh & Wen-Min Lu, 2018. "Measuring Human, Physical and Structural Capital Efficiency Performance of Insurance Companies," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(1), pages 281-315, May.
    26. Reza Sanei & Farhad Hosseinzadeh lotfi & Mohammad Fallah & Farzad Movahedi Sobhani, 2022. "An Estimation of an Acceptable Efficiency Frontier Having an Optimum Resource Management Approach, with a Combination of the DEA-ANN-GA Technique (A Case Study of Branches of an Insurance Company)," Mathematics, MDPI, vol. 10(23), pages 1-21, November.
    27. Qiao-Ming Lim & Hui-Shan Lee & Wai-Mun Har, 2021. "Efficiency, productivity and competitiveness of the Malaysian insurance sector: an analysis of risk-based capital regulation," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 46(1), pages 146-172, January.
    28. Davide Lanfranchi & Laura Grassi, 2021. "Translating technological innovation into efficiency: the case of US public P&C insurance companies," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(4), pages 565-585, December.
    29. Ana María Reyna & Hugo J. Fuentes, 2018. "A cost efficiency analysis of the insurance industry in Mexico," Journal of Productivity Analysis, Springer, vol. 49(1), pages 49-64, February.
    30. Fuentes-Castro, Hugo Javier. & Reyna-Bernal, Ana María., 2014. "Comparando con las grandes. Retos para las aseguradoras en reducción de costos," Panorama Económico, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 0(19), pages 7-32, segundo s.

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