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Timotheos Angelidis

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. Angelidis, Timotheos & Degiannakis, Stavros & Filis, George, 2015. "US stock market regimes and oil price shocks," MPRA Paper 80436, University Library of Munich, Germany.

    Cited by:

    1. Choi, Hae Mi & Gupta-Mukherjee, Swasti, 2022. "Price sensitivity of the consumer-investor: Evidence from energy prices and mutual fund fees," Global Finance Journal, Elsevier, vol. 51(C).
    2. Erfani , Alireza & Abbasi , Saeed, 2018. "The Effect of Monetary Policy on Regime Changes of Financial Assets," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 13(3), pages 319-341, July.
    3. Ben-Salha, Ousama & Mokni, Khaled, 2022. "Detrended cross-correlation analysis in quantiles between oil price and the US stock market," Energy, Elsevier, vol. 242(C).
    4. Taghizadeh-Hesary, Farhad & Rasolinezhad, Ehsan & Kobayashi, Yoshikazu, 2015. "Oil Price Fluctuations and Oil Consuming Sectors: An Empirical Analysis of Japan," ADBI Working Papers 539, Asian Development Bank Institute.
    5. Aliyu, Shehu Usman Rano, 2020. "What have we learnt from modelling stock returns in Nigeria: Higgledy-piggledy?," MPRA Paper 110382, University Library of Munich, Germany, revised 06 Jun 2021.
    6. Syed Abul Basher & Alfred Haug & Perry Sadorsky, 2017. "The impact of oil-market shocks on stock returns in major oil-exporting countries: A Markov-switching approach," Working Papers 1710, University of Otago, Department of Economics, revised Oct 2017.
    7. Alkathery, Mohammed A. & Chaudhuri, Kausik & Nasir, Muhammad Ali, 2023. "Dependence between the GCC energy equities, global clean energy and emission markets: Evidence from wavelet analysis," Energy Economics, Elsevier, vol. 121(C).
    8. Sharif Ullah Jan & Hashim Khan, 2018. "Return Volatility and Macroeconomic Factors: A Comparison of US and Pakistani Firms," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 10(2), pages 1-28, June.
    9. Degiannakis, Stavros & Filis, George & Arora, Vipin, 2018. "Oil Prices and Stock Markets: A Review of the Theory and Empirical Evidence," MPRA Paper 96270, University Library of Munich, Germany.
    10. Ahmed, Walid M.A., 2018. "On the interdependence of natural gas and stock markets under structural breaks," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 149-161.
    11. Taghizadeh-Hesary, Farhad & Rasoulinezhad, Ehsan & Yoshino, Naoyuki, 2018. "Volatility Linkages between Energy and Food Prices: Case of Selected Asian Countries," ADBI Working Papers 829, Asian Development Bank Institute.
    12. Afees A. Salisu & Raymond Swaray & Tirimisyu F. Oloko, 2017. "A multi-factor predictive model for oil-US stock nexus with persistence, endogeneity and conditional heteroscedasticity effects," Working Papers 024, Centre for Econometric and Allied Research, University of Ibadan.
    13. Forhad, Md. Abdur Rahman & Alam, Md. Rafayet, 2022. "Impact of oil demand and supply shocks on the exchange rates of selected Southeast Asian countries," Global Finance Journal, Elsevier, vol. 54(C).
    14. Yusui Tang & Feng Ma & Yaojie Zhang & Yu Wei, 2022. "Forecasting the oil price realized volatility: A multivariate heterogeneous autoregressive model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4770-4783, October.
    15. Salisu, Afees A. & Gupta, Rangan, 2021. "Oil shocks and stock market volatility of the BRICS: A GARCH-MIDAS approach," Global Finance Journal, Elsevier, vol. 48(C).
    16. Liu, Zhenhua & Tseng, Hui-Kuan & Wu, Jy S. & Ding, Zhihua, 2020. "Implied volatility relationships between crude oil and the U.S. stock markets: Dynamic correlation and spillover effects," Resources Policy, Elsevier, vol. 66(C).
    17. Georgios Galyfianakis & Evagelos Drimbetas & Nikolaos Sariannidis, 2016. "Modeling Energy Prices with a Markov-Switching dynamic regression model: 2005-2015," Bulletin of Applied Economics, Risk Market Journals, vol. 3(1), pages 11-28.
    18. Basher, Syed Abul & Haug, Alfred A. & Sadorsky, Perry, 2018. "The impact of oil-market shocks on stock returns in major oil-exporting countries," Journal of International Money and Finance, Elsevier, vol. 86(C), pages 264-280.
    19. Stoupos, Nikolaos & Kiohos, Apostolos, 2021. "Energy commodities and advanced stock markets: A post-crisis approach," Resources Policy, Elsevier, vol. 70(C).
    20. Degiannakis, Stavros & Filis, George & Panagiotakopoulou, Sofia, 2018. "Oil price shocks and uncertainty: How stable is their relationship over time?," Economic Modelling, Elsevier, vol. 72(C), pages 42-53.
    21. Brice V. Dupoyet & Corey A. Shank, 2018. "Oil prices implied volatility or direction: Which matters more to financial markets?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 32(3), pages 275-295, August.
    22. Daniel Ştefan Armeanu & Camelia Cătălina Joldeş & Ştefan Cristian Gherghina, 2019. "On the Linkage between the Energy Market and Stock Returns: Evidence from Romania," Energies, MDPI, vol. 12(8), pages 1-21, April.
    23. Enwereuzoh, Precious Adaku & Odei-Mensah, Jones & Owusu Junior, Peterson, 2021. "Crude oil shocks and African stock markets," Research in International Business and Finance, Elsevier, vol. 55(C).
    24. Aliyu, Shehu Usman Rano & Aminu, Abubakar Wambai, 2018. "Economic regimes and stock market performance in Nigeria: Evidence from regime switching model," MPRA Paper 91430, University Library of Munich, Germany, revised 03 Oct 2018.
    25. Li, Haiping & Semeyutin, Artur & Lau, Chi Keung Marco & Gozgor, Giray, 2020. "The relationship between oil and financial markets in emerging economies: The significant role of Kazakhstan as the oil exporting country," Finance Research Letters, Elsevier, vol. 32(C).
    26. Ahmed, Walid M.A., 2017. "On the dynamic interactions between energy and stock markets under structural shifts: Evidence from Egypt," Research in International Business and Finance, Elsevier, vol. 42(C), pages 61-74.
    27. Taghizadeh-Hesary, Farhad & Rasoulinezhad, Ehsan & Yoshino, Naoyuki, 2019. "Energy and Food Security: Linkages through Price Volatility," Energy Policy, Elsevier, vol. 128(C), pages 796-806.
    28. Zhu, Zhaobo & Ji, Qiang & Sun, Licheng & Zhai, Pengxiang, 2020. "Oil price shocks, investor sentiment, and asset pricing anomalies in the oil and gas industry," International Review of Financial Analysis, Elsevier, vol. 70(C).
    29. Chauvet, Marcelle & Jiang, Cheng, 2023. "Nonlinear relationship between monetary policy and stock returns: Evidence from the U.S," Global Finance Journal, Elsevier, vol. 55(C).
    30. Theplib, Krit & Sethapramote, Yuthana & Jiranyakul, Komain, 2020. "Shock and Volatility Spillovers between Crude Oil Price and Stock Returns: Evidence for Thailand," MPRA Paper 98094, University Library of Munich, Germany.
    31. Somayeh Kokabisaghi & Mohammadesmaeil Ezazi & Reza Tehrani & Nourmohammad Yaghoubi, 2019. "Sanction or Financial Crisis? An Artificial Neural Network-Based Approach to model the impact of oil price volatility on Stock and industry indices," Papers 1912.04015, arXiv.org, revised Sep 2020.
    32. Filippidis, Michail & Filis, George & Kizys, Renatas, 2020. "Oil price shocks and EMU sovereign yield spreads," Energy Economics, Elsevier, vol. 86(C).
    33. Wang, Jiqian & Huang, Yisu & Ma, Feng & Chevallier, Julien, 2020. "Does high-frequency crude oil futures data contain useful information for predicting volatility in the US stock market? New evidence," Energy Economics, Elsevier, vol. 91(C).
    34. Ziadat, Salem Adel & McMillan, David G. & Herbst, Patrick, 2022. "Oil shocks and equity returns during bull and bear markets: The case of oil importing and exporting nations," Resources Policy, Elsevier, vol. 75(C).

  2. Timotheos Angelidis & Nikolaos Tessaromatis, 2014. "Global portfolio management under state dependent multiple risk premia," Proceedings of Economics and Finance Conferences 0400966, International Institute of Social and Economic Sciences.

    Cited by:

    1. Paweł Sakowski & Robert Ślepaczuk & Mateusz Wywiał, 2016. "Applying exogenous variables and regime switching to multi-factor models on equity indices," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 47.
    2. Angelidis, Timotheos & Tessaromatis, Nikolaos, 2014. "Global Style Portfolios Based on Country Indices," MPRA Paper 53094, University Library of Munich, Germany.
    3. Paweł Sakowski & Robert Ślepaczuk & Mateusz Wywiał, 2016. "Can We Invest Based on Equity Risk Premia and Risk Factors from Multi-Factor Models?," Working Papers 2016-09, Faculty of Economic Sciences, University of Warsaw.
    4. Emmanouil Platanakis & Athanasios Sakkas & Charles Sutcliffe, 2017. "Harmful Diversification: Evidence from Alternative Investments," ICMA Centre Discussion Papers in Finance icma-dp2017-09, Henley Business School, University of Reading.
    5. Emmanouil Platanakis & Athanasios Sakkas & Charles Sutcliffe, 2017. "Should Portfolio Model Inputs Be Estimated Using One or Two Economic Regimes?," ICMA Centre Discussion Papers in Finance icma-dp2017-07, Henley Business School, University of Reading.
    6. Francesco Chincoli & Massimo Guidolin, 2017. "Linear and nonlinear predictability in investment style factors: multivariate evidence," Journal of Asset Management, Palgrave Macmillan, vol. 18(6), pages 476-509, October.
    7. Paweł Sakowski & Robert Ślepaczuk & Mateusz Wywiał, 2015. "Cross-Sectional Returns With Volatility Regimes From Diverse Portfolio of Emerging and Developed Equity Indices," Working Papers 2015-39, Faculty of Economic Sciences, University of Warsaw.

  3. Angelidis, Timotheos & Tessaromatis, Nikolaos, 2014. "Global Style Portfolios Based on Country Indices," MPRA Paper 53094, University Library of Munich, Germany.

    Cited by:

    1. Calice, Giovanni & Lin, Ming-Tsung, 2021. "Exploring risk premium factors for country equity returns," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 294-322.
    2. Adam Zaremba, 2018. "Country Risk and Expected Returns Across Global Equity Markets," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 68(4), pages 374-398, September.

  4. Stavros Degiannakis & Andreas Andrikopoulos & Timotheos Angelidis & Christos Floros, 2013. "Return dispersion, stock market liquidity and aggregate economic activity," Working Papers 166, Bank of Greece.

    Cited by:

    1. Switzer, Lorne N. & Picard, Alan, 2016. "Stock market liquidity and economic cycles: A non-linear approach," Economic Modelling, Elsevier, vol. 57(C), pages 106-119.

  5. Stavros Degiannakis & Timotheos Angelidis & George Filis, 2013. "Oil price shocks and volatility do predict stock market regimes," Working Papers 170, Bank of Greece.

    Cited by:

    1. Boateng, Ebenezer & Adam, Anokye M. & Junior, Peterson Owusu, 2021. "Modelling the heterogeneous relationship between the crude oil implied volatility index and African stocks in the coronavirus pandemic," Resources Policy, Elsevier, vol. 74(C).

  6. Angelidis, Timotheos & Giamouridis, Daniel & Tessaromatis, Nikolaos, 2012. "Revisiting Mutual Fund Performance Evaluation," MPRA Paper 36644, University Library of Munich, Germany.

    Cited by:

    1. Babalos, Vassilios & Caporale, Guglielmo Maria & Philippas, Nikolaos, 2015. "Gender, style diversity, and their effect on fund performance," Research in International Business and Finance, Elsevier, vol. 35(C), pages 57-74.
    2. Mateus, Irina B. & Mateus, Cesario & Todorovic, Natasa, 2019. "Review of new trends in the literature on factor models and mutual fund performance," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 344-354.
    3. Andrew Clare & Mariana Clare, 2019. "An examination of ex ante fund performance: identifying indicators of future performance," Journal of Asset Management, Palgrave Macmillan, vol. 20(3), pages 175-195, May.
    4. H. Pierre Hsieh & Imen Tebourbi & Wen‐Min Lu & Nai‐Yu Liu, 2020. "Mutual fund performance: The decision quality and capital magnet efficiencies," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(5), pages 861-872, July.
    5. Irina Bezhentseva Mateus & Cesario Mateus & Natasa Todorovic, 2019. "Benchmark-adjusted performance of US equity mutual funds and the issue of prospectus benchmarks," Journal of Asset Management, Palgrave Macmillan, vol. 20(1), pages 15-30, February.
    6. Cuthbertson, Keith & Nitzsche, Dirk & O'Sullivan, Niall, 2022. "Mutual fund performance persistence: Factor models and portfolio size," International Review of Financial Analysis, Elsevier, vol. 81(C).
    7. Matallín-Sáez, Juan Carlos & de Mingo-López, Diego Víctor, 2024. "The role of passive effects in the relationship between active management and short-term performance: Evidence from mutual fund portfolio holdings," Finance Research Letters, Elsevier, vol. 62(PA).
    8. Andrew Clare, 2022. "Is there a boutique asset management premium? Evidence from the European fund management industry," Journal of Asset Management, Palgrave Macmillan, vol. 23(1), pages 19-32, February.
    9. José Luis Miralles-Quirós & María Mar Miralles-Quirós, 2020. "Who Knocks on the Door of Portfolio Performance Heaven: Sinner or Saint Investors?," Mathematics, MDPI, vol. 8(11), pages 1-18, November.
    10. Mohammad, Nazeeruddin & Ashraf, Dawood, 2015. "The Market Timing Ability and Return Performance of Islamic Equities: an Empirical Study," Working Papers 1436-6, The Islamic Research and Teaching Institute (IRTI).
    11. Konstantinov, Gueorgui S. & Fabozzi, Frank J., 2021. "Towards a dead end? EMU bond market exposure and manager performance," Journal of International Money and Finance, Elsevier, vol. 116(C).
    12. Galagedera, Don U.A. & Watson, John & Premachandra, I.M. & Chen, Yao, 2016. "Modeling leakage in two-stage DEA models: An application to US mutual fund families," Omega, Elsevier, vol. 61(C), pages 62-77.
    13. Mason, Andrew & Agyei-Ampomah, Sam & Skinner, Frank, 2016. "Realism, skill, and incentives: Current and future trends in investment management and investment performance," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 31-40.
    14. Clare, Andrew & Cuthbertson, Keith & Nitzsche, Dirk & O'Sullivan, Niall, 2021. "How skilful are US fixed-income fund managers?," International Review of Financial Analysis, Elsevier, vol. 74(C).
    15. Martin Hodula & Milan Szabo & Josef Bajzik, 2022. "Retail Fund Flows and Performance: Insights from Supervisory Data," Working Papers 2022/10, Czech National Bank.
    16. Mateus, Irina B. & Mateus, Cesario & Todorovic, Natasa, 2016. "UK equity mutual fund alphas make a comeback," International Review of Financial Analysis, Elsevier, vol. 44(C), pages 98-110.
    17. Xu, Bu & Xu, Quanyi & Liu, Xinxin & Qin, Qirui, 2024. "Investor traps: Funds launched during booms," Finance Research Letters, Elsevier, vol. 61(C).
    18. Edwin J. Elton & Martin J. Gruber & Christopher R. Blake, 2014. "The Performance of Separate Accounts and Collective Investment Trusts," Review of Finance, European Finance Association, vol. 18(5), pages 1717-1742.
    19. Asyngier Roman & Miziołek Tomasz, 2017. "Impact of Fund Managers Changes on Polish Equity Funds Performance," Folia Oeconomica Stetinensia, Sciendo, vol. 17(1), pages 97-108, June.
    20. Wang, Yaping & Paek, Miyoun & Ko, Kwangsoo, 2019. "The performance of Chinese equity funds: An extension of DGTW model," Japan and the World Economy, Elsevier, vol. 51(C), pages 1-1.
    21. Joshua A. Gurwitz & David M. Smith & Gerhard Van de Venter, 2021. "Municipal Bond Mutual Fund Performance and Active Share," Published Paper Series 2021-2, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    22. Cesario Mateus & Irina B. Mateus & Marco Soggiu, 2020. "Do smart beta ETFs deliver persistent performance?," Journal of Asset Management, Palgrave Macmillan, vol. 21(5), pages 413-427, September.
    23. Magni, Carlo Alberto & Marchioni, Andrea & Baschieri, Davide, 2023. "The Attribution Matrix and the joint use of Finite Change Sensitivity Index and Residual Income for value-based performance measurement," European Journal of Operational Research, Elsevier, vol. 306(2), pages 872-892.
    24. Clare, Andrew & Motson, Nick & Sapuric, Svetlana & Todorovic, Natasa, 2014. "What impact does a change of fund manager have on mutual fund performance?," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 167-177.
    25. Carneiro, Livia Mendes & Eid Junior, William & Yoshinaga, Claudia Emiko, 2022. "The implications of passive investments for active fund management: International evidence," Global Finance Journal, Elsevier, vol. 53(C).
    26. Agyei-Ampomah, Sam & Clare, Andrew & Mason, Andrew & Thomas, Stephen, 2015. "On luck versus skill when performance benchmarks are style-consistent," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 127-145.
    27. Carlo Alberto Magni & Andrea Marchioni, 2022. "Performance attribution, time-weighted rate of return, and clean finite change sensitivity index," Journal of Asset Management, Palgrave Macmillan, vol. 23(1), pages 62-72, February.
    28. Vassilios Babalos & Michael Doumpos & Nikolaos Philippas & Constantin Zopounidis, 2015. "Towards a Holistic Approach for Mutual Fund Performance Appraisal," Computational Economics, Springer;Society for Computational Economics, vol. 46(1), pages 35-53, June.
    29. Artur A. Trzebiński, 2022. "Assessing the performance of mutual funds with multifactor asset pricing models," Bank i Kredyt, Narodowy Bank Polski, vol. 53(1), pages 79-106.
    30. José Luis Miralles-Quirós & María Mar Miralles-Quirós & José Manuel Nogueira, 2020. "Sustainable Development Goals and Investment Strategies: The Profitability of Using Five-Factor Fama-French Alphas," Sustainability, MDPI, vol. 12(5), pages 1-16, February.
    31. Nur Adiana Hiau Abdullah & Aminah Shari, 2019. "A Comparative Analysis of Fixed Income Unit Trust Funds Versus Equity Unit Trust Funds in Malaysia," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 15(2), pages 95-117.
    32. Clare, Andrew, 2017. "The performance of long-serving fund managers," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 152-159.
    33. Clare, Andrew & O'Sullivan, Niall & Sherman, Meadhbh & Zhu, Sheng, 2019. "The performance of US bond mutual funds," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 1-8.

  7. Andrikopoulos, Andreas & Angelidis, Timotheos & Skintzi, Vasiliki, 2012. "Illiquidity, return and risk in G7 stock markets: interdependencies and spillovers," MPRA Paper 40003, University Library of Munich, Germany.

    Cited by:

    1. Canh P. Nguyen & Christophe Schinckus & Thanh D. Su & Felicia H. L. Chong, 2022. "Determinants of stock market returns in emerging markets: The linkage between institutional quality and macro liquidity," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4472-4486, October.
    2. Su, Xianfang, 2020. "Dynamic behaviors and contributing factors of volatility spillovers across G7 stock markets," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    3. Umar, Zaghum & Riaz, Yasir & Aharon, David Y., 2022. "Network connectedness dynamics of the yield curve of G7 countries," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 275-288.
    4. K. Lebedeva, 2015. "An Empirical Analysis of the Russian Financial Markets’ Liquidity and Returns," Review of Business and Economics Studies // Review of Business and Economics Studies, Финансовый Университет // Financial University, vol. 3(3), pages 5-31.
    5. Grillini, Stefano & Ozkan, Aydin & Sharma, Abhijit, 2022. "Static and dynamic liquidity spillovers in the Eurozone: The role of financial contagion and the Covid-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 83(C).
    6. Ismail Olaleke Fasanya Oluwatomisin Oyewole Taofeek Agbatogun, 2019. "Measuring Return and Volatility Spillovers among Sectoral Stocks in Nigeria," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 22(2), pages 71-94, November.
    7. Cesario Mateus & Miramir Bagirov & Irina Mateus, 2024. "Return and volatility connectedness and net directional patterns in spillover transmissions: East and Southeast Asian equity markets," International Review of Finance, International Review of Finance Ltd., vol. 24(1), pages 83-103, March.
    8. Shusheng Ding & Zhipan Yuan & Fan Chen & Xihan Xiong & Zheng Lu & Tianxiang Cui, 2021. "Impact persistence of stock market risks in commodity markets: Evidence from China," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-22, November.
    9. Pavlo Dziuba & Olena Pryiatelchuk & Denys Rusak, 2021. "Equity Markets Risks And Returns: Implications For Global Portfolio Capital Flows During Pandemic And Crisis Periods," Baltic Journal of Economic Studies, Publishing house "Baltija Publishing", vol. 7(3).
    10. Salisu, Afees A. & Isah, Kazeem & Akanni, Lateef O., 2019. "Improving the predictability of stock returns with Bitcoin prices," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 857-867.
    11. Rehman, Mobeen Ur & Ahmad, Nasir & Shahzad, Syed Jawad Hussain & Vo, Xuan Vinh, 2022. "Dependence dynamics of stock markets during COVID-19," Emerging Markets Review, Elsevier, vol. 51(PB).
    12. Grillini, Stefano & Ozkan, Aydin & Sharma, Abhijit & Al Janabi, Mazin A.M., 2019. "Pricing of time-varying illiquidity within the Eurozone: Evidence using a Markov switching liquidity-adjusted capital asset pricing model," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 145-158.
    13. Hu, Haoshen & Kaspereit, Thomas & Prokop, Jörg, 2016. "The information content of issuer rating changes: Evidence for the G7 stock markets," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 99-108.
    14. Chiang, Thomas C., 2019. "Economic policy uncertainty, risk and stock returns: Evidence from G7 stock markets," Finance Research Letters, Elsevier, vol. 29(C), pages 41-49.
    15. Su, Xianfang, 2020. "Measuring extreme risk spillovers across international stock markets: A quantile variance decomposition analysis," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    16. Muñoz Mendoza, Jorge A. & Ferreira, Guillermo & Márquez Sanders, Vicente A., 2023. "Liquidity spillovers in the global stock markets: Lessons for risk management," Global Finance Journal, Elsevier, vol. 58(C).
    17. Arash Habibi & Chin Lee, 2019. "Asymmetric Effects of Exchange Rates on Stock Prices in G7 Countries," Capital Markets Review, Malaysian Finance Association, vol. 27(1), pages 19-33.

  8. Timotheos Angelidis, 2008. "Idiosyncratic Risk in Emerging Markets," Working Papers 0018, University of Peloponnese, Department of Economics.

    Cited by:

    1. Tan, Monica & Liu, Bin, 2016. "CEO's managerial power, board committee memberships and idiosyncratic volatility," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 21-30.
    2. Korkmaz, Turhan & Çevik, Emrah İ. & Atukeren, Erdal, 2012. "Return and volatility spillovers among CIVETS stock markets," Emerging Markets Review, Elsevier, vol. 13(2), pages 230-252.
    3. Nartea, Gilbert V. & Wu, Ji & Liu, Zhentao, 2013. "Does idiosyncratic volatility matter in emerging markets? Evidence from China," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 137-160.
    4. Stavros Degiannakis & Andreas Andrikopoulos & Timotheos Angelidis & Christos Floros, 2013. "Return dispersion, stock market liquidity and aggregate economic activity," Working Papers 166, Bank of Greece.
    5. Mohamed Masry & Heba El Menshawy, 2018. "The Impact of Unsystematic Risk on Stock Returns in an Emerging Capital Markets (ECM¡¯s) Country: An Empirical Study," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 9(1), pages 189-202, January.
    6. Mu-Shun Wang, 2013. "Idiosyncratic Volatility and the Expected Stock Returns for Exploring the Relationship with Panel Threshold Regression," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 20(2), pages 113-129, May.
    7. Lumengo Bonga-Bonga & Ekerete Umoetok, 2016. "The effectiveness of index futures hedging in emerging markets during the crisis period of 2008-2010: Evidence from South Africa," Applied Economics, Taylor & Francis Journals, vol. 48(42), pages 3999-4018, September.
    8. Umutlu, Mehmet, 2019. "Does idiosyncratic volatility matter at the global level?," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 252-268.
    9. Pithak Srisuksai, 2012. "Idiosyncratic Volatility and Expected Stock Returns: Evidence from Thailand," Applied Economics Journal, Kasetsart University, Faculty of Economics, Center for Applied Economic Research, vol. 19(2), pages 66-89, December.
    10. Kearney, Colm, 2012. "Emerging markets research: Trends, issues and future directions," Emerging Markets Review, Elsevier, vol. 13(2), pages 159-183.
    11. Charee Kwak, 2017. "The Effect of Corporate International Diversification on Firm Risk," Discussion Papers 2017-17, Kobe University, Graduate School of Business Administration.
    12. Flavia Corneli, 2009. "The Saving Glut Explanation of Global Imbalances: the Role of Underinvestment," Economics Working Papers ECO2009/41, European University Institute.
    13. Sergio Ortobelli Lozza & Enrico Angelelli & Daniele Toninelli, 2011. "Set-Portfolio Selection with the Use of Market Stochastic Bounds," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 47(0), pages 5-24, November.
    14. Laura Arenas & Ana Maria Gil-Lafuente, 2021. "Regime Switching in High-Tech ETFs: Idiosyncratic Volatility and Return," Mathematics, MDPI, vol. 9(7), pages 1-25, March.
    15. Chia-Hao Lee & Pei-I Chou, 2012. "Trading Activity and Financial Market Integration," The Financial Review, Eastern Finance Association, vol. 47(3), pages 589-616, August.

  9. Angelidis, Timotheos & Degiannakis, Stavros, 2008. "Volatility forecasting: Intra-day versus inter-day models," MPRA Paper 96322, University Library of Munich, Germany.

    Cited by:

    1. Louzis, Dimitrios P. & Xanthopoulos-Sisinis, Spyros & Refenes, Apostolos P., 2011. "Are realized volatility models good candidates for alternative Value at Risk prediction strategies?," MPRA Paper 30364, University Library of Munich, Germany.
    2. Degiannakis, Stavros & Filis, George, 2017. "Forecasting oil price realized volatility using information channels from other asset classes," MPRA Paper 96276, University Library of Munich, Germany.
    3. Jayawardena, Nirodha I. & Todorova, Neda & Li, Bin & Su, Jen-Je, 2020. "Volatility forecasting using related markets’ information for the Tokyo stock exchange," Economic Modelling, Elsevier, vol. 90(C), pages 143-158.
    4. Degiannakis, Stavros & Floros, Christos, 2013. "Modeling CAC40 volatility using ultra-high frequency data," Research in International Business and Finance, Elsevier, vol. 28(C), pages 68-81.
    5. Louzis, Dimitrios P. & Xanthopoulos-Sisinis, Spyros & Refenes, Apostolos P., 2011. "The role of high frequency intra-daily data, daily range and implied volatility in multi-period Value-at-Risk forecasting," MPRA Paper 35252, University Library of Munich, Germany.
    6. Marius Matei & Xari Rovira & Núria Agell, 2019. "Bivariate Volatility Modeling with High-Frequency Data," Econometrics, MDPI, vol. 7(3), pages 1-15, September.
    7. Fuertes, Ana-Maria & Olmo, Jose, 2013. "Optimally harnessing inter-day and intra-day information for daily value-at-risk prediction," International Journal of Forecasting, Elsevier, vol. 29(1), pages 28-42.
    8. Rice, Gregory & Wirjanto, Tony & Zhao, Yuqian, 2020. "Forecasting value at risk with intra-day return curves," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1023-1038.
    9. Louzis, Dimitrios P. & Xanthopoulos-Sisinis, Spyros & Refenes, Apostolos P., 2014. "Realized volatility models and alternative Value-at-Risk prediction strategies," Economic Modelling, Elsevier, vol. 40(C), pages 101-116.
    10. Wen Cheong Chin & Min Cherng Lee, 2018. "S&P500 volatility analysis using high-frequency multipower variation volatility proxies," Empirical Economics, Springer, vol. 54(3), pages 1297-1318, May.
    11. Degiannakis, Stavros & Filis, George & Hassani, Hossein, 2015. "Forecasting implied volatility indices worldwide: A new approach," MPRA Paper 72084, University Library of Munich, Germany.
    12. Nishimura, Yusaku & Sun, Bianxia, 2021. "President’s Tweets, US-China economic conflict and stock market Volatility: Evidence from China and G5 countries," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    13. Andrada-Félix, Julián & Fernández-Rodríguez, Fernando & Fuertes, Ana-Maria, 2016. "Combining nearest neighbor predictions and model-based predictions of realized variance: Does it pay?," International Journal of Forecasting, Elsevier, vol. 32(3), pages 695-715.
    14. Laura Garcia-Jorcano & Alfonso Novales, 2020. "A dominance approach for comparing the performance of VaR forecasting models," Computational Statistics, Springer, vol. 35(3), pages 1411-1448, September.
    15. Bonato, Matteo & Cepni, Oguzhan & Gupta, Rangan & Pierdzioch, Christian, 2023. "Climate risks and realized volatility of major commodity currency exchange rates," Journal of Financial Markets, Elsevier, vol. 62(C).
    16. Degiannakis, Stavros & Filis, George, 2016. "Forecasting oil price realized volatility: A new approach," MPRA Paper 69105, University Library of Munich, Germany.
    17. Degiannakis, Stavros & Filis, George & Hassani, Hossein, 2018. "Forecasting global stock market implied volatility indices," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 111-129.
    18. Stavros Degiannakis & Andreas Andrikopoulos & Timotheos Angelidis & Christos Floros, 2013. "Return dispersion, stock market liquidity and aggregate economic activity," Working Papers 166, Bank of Greece.
    19. Seul-Ki Park & Ji-Eun Choi & Dong Wan Shin, 2017. "Value at risk forecasting for volatility index," Applied Economics Letters, Taylor & Francis Journals, vol. 24(21), pages 1613-1620, December.
    20. Degiannakis, Stavros & Potamia, Artemis, 2017. "Multiple-days-ahead value-at-risk and expected shortfall forecasting for stock indices, commodities and exchange rates: Inter-day versus intra-day data," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 176-190.
    21. Maghyereh Aktham Issa & Awartani Basel, 2012. "Modeling and Forecasting Value-at-Risk in the UAE Stock Markets: The Role of Long Memory, Fat Tails and Asymmetries in Return Innovations," Review of Middle East Economics and Finance, De Gruyter, vol. 8(1), pages 1-22, August.
    22. Panagiotis Delis & Stavros Degiannakis & Konstantinos Giannopoulos, 2023. "What Should be Taken into Consideration when Forecasting Oil Implied Volatility Index?," The Energy Journal, , vol. 44(5), pages 231-250, September.
    23. Liu, Min, 2022. "The driving forces of green bond market volatility and the response of the market to the COVID-19 pandemic," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 288-309.
    24. Degiannakis, Stavros & Filis, George, 2022. "Oil price volatility forecasts: What do investors need to know?," Journal of International Money and Finance, Elsevier, vol. 123(C).
    25. Bogdan, Dima & Ştefana Maria, Dima & Roxana, Ioan, 2022. "A Value-at-Risk forecastability indicator in the framework of a Generalized Autoregressive Score with “Asymmetric Laplace Distribution”," Finance Research Letters, Elsevier, vol. 45(C).
    26. Dimitrios P. Louzis & Spyros Xanthopoulos - Sissinis & Apostolos P. Refenes, 2012. "Stock index Value-at-Risk forecasting: A realized volatility extreme value theory approach," Economics Bulletin, AccessEcon, vol. 32(1), pages 981-991.
    27. Ahoniemi, Katja & Lanne, Markku, 2013. "Overnight stock returns and realized volatility," International Journal of Forecasting, Elsevier, vol. 29(4), pages 592-604.
    28. Dimitrios Louzis & Spyros Xanthopoulos-Sisinis & Apostolos Refenes, 2011. "Stock index realized volatility forecasting in the presence of heterogeneous leverage effects and long range dependence in the volatility of realized volatility," Post-Print hal-00709559, HAL.
    29. Yusaku Nishimura & Yoshiro Tsutsui & Kenjiro Hirayama, 2017. "Do International Investors Cause Stock Market Comovements? Comparing Responses of Cross-Listed Stocks between Accessible and Inaccessible Markets," Discussion Papers in Economics and Business 17-01, Osaka University, Graduate School of Economics.
    30. Nishimura, Yusaku & Tsutsui, Yoshiro & Hirayama, Kenjiro, 2018. "Do international investors cause stock market spillovers? Comparing responses of cross-listed stocks between accessible and inaccessible markets," Economic Modelling, Elsevier, vol. 69(C), pages 237-248.

  10. Andreas Andrikopoulos & Timotheos Angelidis, 2008. "Idiosyncratic risk, returns and liquidity in the London Stock Exchange: a spillover approach," Working Papers 0017, University of Peloponnese, Department of Economics.

    Cited by:

    1. Ng, Andrew Cheuk-Yin & Li, Johnny Siu-Hang & Chan, Wai-Sum, 2011. "Modeling investment guarantees in Japan: A risk-neutral GARCH approach," International Review of Financial Analysis, Elsevier, vol. 20(1), pages 20-26, January.
    2. Chen, Jing & Dong, Yizhe & Hou, Wenxuan & McMillan, David G., 2018. "Does feedback trading drive returns of cross-listed shares?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 53(C), pages 179-199.
    3. Meinshausen, Steffen & Schiereck, Dirk, 2011. "Dressed to merge — small fits fine: M&A success in the fashion and accessories industry," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 283-291.
    4. Priyanka Naik & B G Poornima & Y V Reddy, 2020. "Measuring liquidity in Indian stock market: A dimensional perspective," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-17, September.
    5. Stavros Degiannakis & Andreas Andrikopoulos & Timotheos Angelidis & Christos Floros, 2013. "Return dispersion, stock market liquidity and aggregate economic activity," Working Papers 166, Bank of Greece.
    6. Jianjian Wang & Feng He & Xin Shi, 2019. "Numerical solution of a general interval quadratic programming model for portfolio selection," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-16, March.
    7. Javier Vidal-García & Marta Vidal & Duc Khuong Nguyen, 2016. "Do liquidity and idiosyncratic risk matter? Evidence from the European mutual fund market," Review of Quantitative Finance and Accounting, Springer, vol. 47(2), pages 213-247, August.
    8. Li, Wei & Lu, Xinsheng & Ren, Yongping & Zhou, Ying, 2018. "Dynamic relationship between RMB exchange rate index and stock market liquidity: A new perspective based on MF-DCCA," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 726-739.

  11. Nikos Thomaidis & Timotheos Angelidis & Vassilios Vassiliadis & Georgios Dounias, 2008. "Active Portfolio Management With Cardinality Constraints: An Application Of Particle Swarm Optimization," Working Papers 0016, University of Peloponnese, Department of Economics.

    Cited by:

    1. Marco Corazza & Stefania Funari & Riccardo Gusso, 2012. "An evolutionary approach to preference disaggregation in a MURAME-based credit scoring problem," Working Papers 5, Department of Management, Università Ca' Foscari Venezia.
    2. Marco Corazza & Giovanni Fasano & Riccardo Gusso, 2011. "Particle Swarm Optimization with non-smooth penalty reformulation for a complex portfolio selection problem," Working Papers 2011_10, Department of Economics, University of Venice "Ca' Foscari".
    3. Christos Konstantinou & Alexandros Tzanetos & Georgios Dounias, 2022. "Cardinality constrained portfolio optimization with a hybrid scheme combining a Genetic Algorithm and Sonar Inspired Optimization," Operational Research, Springer, vol. 22(3), pages 2465-2487, July.
    4. G.A. Vijayalakshmi Pai & Thierry Michel, 2012. "Integrated Metaheuristic Optimization Of 130–30 Investment‐Strategy‐Based Long–Short Portfolios," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 19(1), pages 43-74, January.

  12. Angelidis, Timotheos & Degiannakis, Stavros, 2008. "Volatility forecasting: intra-day vs. inter-day models," MPRA Paper 80434, University Library of Munich, Germany.

    Cited by:

    1. Degiannakis, Stavros & Floros, Christos, 2013. "Modeling CAC40 volatility using ultra-high frequency data," Research in International Business and Finance, Elsevier, vol. 28(C), pages 68-81.
    2. Stavros Degiannakis, 2008. "ARFIMAX and ARFIMAX-TARCH realized volatility modeling," Journal of Applied Statistics, Taylor & Francis Journals, vol. 35(10), pages 1169-1180.
    3. Stavros Degiannakis & Andreas Andrikopoulos & Timotheos Angelidis & Christos Floros, 2013. "Return dispersion, stock market liquidity and aggregate economic activity," Working Papers 166, Bank of Greece.
    4. Olusanya E. Olubusoye & OlaOluwa S. Yaya, 2016. "Time series analysis of volatility in the petroleum pricing markets: the persistence, asymmetry and jumps in the returns series," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 40(3), pages 235-262, September.
    5. Degiannakis, Stavros & Floros, Christos & Livada, Alexandra, 2012. "Evaluating Value-at-Risk Models before and after the Financial Crisis of 2008: International Evidence," MPRA Paper 80463, University Library of Munich, Germany.

  13. Timotheos Angelidis & Stavros Degiannakis, 2007. "Backtesting VaR Models: An Expected Shortfall Approach," Working Papers 0701, University of Crete, Department of Economics.

    Cited by:

    1. Marcin Faldzinski & Magdalena Osinska, 2016. "Volatility estimators in econometric analysis of risk transfer on capital markets," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 16, pages 21-35.
    2. Marcin Faldzinski, 2009. "Application of Modified POT Method with Volatility Model for Estimation of Risk Measures," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 9, pages 119-128.
    3. Yin Liao, 2012. "Does Modeling Jumps Help? A Comparison of Realized Volatility Models for Risk Prediction," CAMA Working Papers 2012-26, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    4. Saša ŽIKOVIÆ & Randall K. FILER, 2013. "Ranking of VaR and ES Models: Performance in Developed and Emerging Markets," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(4), pages 327-359, August.
    5. L. Kourouma & Denis Dupré & G. Sanfilippo & O. Taramasco, 2011. "Extreme Value at Risk and Expected Shortfall during Financial Crisis," Post-Print halshs-00658495, HAL.
    6. Sasa Zikovic & Randall Filer, 2009. "Hybrid Historical Simulation VaR and ES: Performance in Developed and Emerging Markets," CESifo Working Paper Series 2820, CESifo.
    7. de Araújo, André da Silva & Garcia, Maria Teresa Medeiros, 2013. "Risk contagion in the north-western and southern European stock markets," Journal of Economics and Business, Elsevier, vol. 69(C), pages 1-34.
    8. Magdalena Osinska & Marcin Faldzinski, 2008. "GARCH and SV Models with Application of Extreme Value Theory," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 8, pages 45-52.
    9. Emese Lazar & Ning Zhang, 2017. "Model Risk of Expected Shortfall," ICMA Centre Discussion Papers in Finance icma-dp2017-10, Henley Business School, University of Reading.
    10. Nieto, María Rosa & Ruiz Ortega, Esther, 2008. "Measuring financial risk : comparison of alternative procedures to estimate VaR and ES," DES - Working Papers. Statistics and Econometrics. WS ws087326, Universidad Carlos III de Madrid. Departamento de Estadística.
    11. Joanna Górka, 2009. "Application of the Family of Sign RCA Models for Obtaining the Selected Risk Measures," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 9, pages 39-50.
    12. Shiferaw, Y., 2018. "The Bayesian MS-GARCH model and Value-at-Risk in South African agricultural commodity price markets," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275991, International Association of Agricultural Economists.
    13. Wolfgang Härdle & Julius Mungo, 2008. "Value-at-Risk and Expected Shortfall when there is long range dependence," SFB 649 Discussion Papers SFB649DP2008-006, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    14. Xiaoying Huang, 2017. "A Double-Exponential Jump model and its application to risk measure in Wheat spot market," Economics Bulletin, AccessEcon, vol. 37(2), pages 1298-1309.

  14. Angelidis, Timotheos & Benos, Alexandros & Degiannakis, Stavros, 2007. "A Robust VaR Model under Different Time Periods and Weighting Schemes," MPRA Paper 80466, University Library of Munich, Germany.

    Cited by:

    1. A. Gabrielsen & P. Zagaglia & A. Kirchner & Z. Liu, 2012. "Forecasting Value-at-Risk with Time-Varying Variance, Skewness and Kurtosis in an Exponential Weighted Moving Average Framework," Papers 1206.1380, arXiv.org.
    2. Jean-Paul Laurent & Hassan Omidi Firouzi, 2022. "Market Risk and Volatility Weighted Historical Simulation After Basel III," Working Papers hal-03679434, HAL.
    3. Laura Garcia‐Jorcano & Alfonso Novales, 2021. "Volatility specifications versus probability distributions in VaR forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(2), pages 189-212, March.
    4. Alex Huang, 2013. "Value at risk estimation by quantile regression and kernel estimator," Review of Quantitative Finance and Accounting, Springer, vol. 41(2), pages 225-251, August.
    5. Aloui, Chaker & Mabrouk, Samir, 2010. "Value-at-risk estimations of energy commodities via long-memory, asymmetry and fat-tailed GARCH models," Energy Policy, Elsevier, vol. 38(5), pages 2326-2339, May.
    6. Chun-Pin Hsu & Chin-Wen Huang & Wan-Jiun Chiou, 2012. "Effectiveness of copula-extreme value theory in estimating value-at-risk: empirical evidence from Asian emerging markets," Review of Quantitative Finance and Accounting, Springer, vol. 39(4), pages 447-468, November.
    7. Chlebus Marcin, 2017. "EWS-GARCH: New Regime Switching Approach to Forecast Value-at-Risk," Central European Economic Journal, Sciendo, vol. 3(50), pages 01-25, December.
    8. Chrétien, Stéphane & Coggins, Frank, 2010. "Performance and conservatism of monthly FHS VaR: An international investigation," International Review of Financial Analysis, Elsevier, vol. 19(5), pages 323-333, December.
    9. Szubzda Filip & Chlebus Marcin, 2019. "Comparison of Block Maxima and Peaks Over Threshold Value-at-Risk models for market risk in various economic conditions," Central European Economic Journal, Sciendo, vol. 6(53), pages 70-85, January.
    10. Marco Rocco, 2011. "Extreme value theory for finance: a survey," Questioni di Economia e Finanza (Occasional Papers) 99, Bank of Italy, Economic Research and International Relations Area.
    11. Robina Iqbal & Ghulam Sorwar & Rose Baker & Taufiq Choudhry, 2020. "Multiday expected shortfall under generalized t distributions: evidence from global stock market," Review of Quantitative Finance and Accounting, Springer, vol. 55(3), pages 803-825, October.
    12. Cheng-Few Lee & Jung-Bin Su, 2012. "Alternative statistical distributions for estimating value-at-risk: theory and evidence," Review of Quantitative Finance and Accounting, Springer, vol. 39(3), pages 309-331, October.
    13. Fernanda Maria Müller & Marcelo Brutti Righi, 2018. "Numerical comparison of multivariate models to forecasting risk measures," Risk Management, Palgrave Macmillan, vol. 20(1), pages 29-50, February.
    14. Marcelo Brutti Righi & Paulo Sergio Ceretta, 2015. "Shortfall Deviation Risk: An alternative to risk measurement," Papers 1501.02007, arXiv.org, revised May 2016.
    15. Sang Hoon Kang & Seong-Min Yoon, 2009. "Value-at-Risk Analysis for Asian Emerging Markets: Asymmetry and Fat Tails in Returns Innovation," Korean Economic Review, Korean Economic Association, vol. 25, pages 387-411.
    16. Onder Buberkoku, 2019. "Do Long-memory GARCH-type-Value-at-Risk Models Outperform None-and Semi-parametric Value-at-Risk Models?," International Journal of Energy Economics and Policy, Econjournals, vol. 9(2), pages 199-215.
    17. Maghyereh Aktham Issa & Awartani Basel, 2012. "Modeling and Forecasting Value-at-Risk in the UAE Stock Markets: The Role of Long Memory, Fat Tails and Asymmetries in Return Innovations," Review of Middle East Economics and Finance, De Gruyter, vol. 8(1), pages 1-22, August.
    18. Chaker Aloui, 2015. "Volatility forecasting and risk management in some MENA stock markets: a nonlinear framework," Afro-Asian Journal of Finance and Accounting, Inderscience Enterprises Ltd, vol. 5(2), pages 160-192.
    19. Emrah Altun & Huseyin Tatlidil & Gamze Ozel & Saralees Nadarajah, 2018. "Does the Assumption on Innovation Process Play an Important Role for Filtered Historical Simulation Model?," JRFM, MDPI, vol. 11(1), pages 1-13, January.
    20. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    21. Pilar Abad Romero & Sonia Benito Muela & Miguel Angel Sánchez Granero & Carmen López, 2013. "Evaluating the performance of the skewed distributions to forecast Value at Risk in the Global Financial Crisis," Documentos de Trabajo del ICAE 2013-40, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    22. Panagiotis Tzouvanas & Renatas Kizys & Ioannis Chatziantoniou & Roza Sagitova, 2019. "Can Variations in Temperature Explain the Systemic Risk of European Firms?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(4), pages 1723-1759, December.
    23. Trenca Ioan & Zoicas-Ienciu Adrian, 2010. "The Correlation Between The Market Risk And The Liquidity Risk In The Romanian Banking Sector," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(1), pages 437-442, July.
    24. So, Mike K.P. & Chung, Ray S.W., 2015. "Statistical inference for conditional quantiles in nonlinear time series models," Journal of Econometrics, Elsevier, vol. 189(2), pages 457-472.
    25. Carnero, M. Angeles & León, Angel & Ñíguez, Trino-Manuel, 2023. "Skewness in energy returns: estimation, testing and retain-->implications for tail risk," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 178-189.
    26. Chee Lim & Patricia Tan, 2007. "Value relevance of value-at-risk disclosure," Review of Quantitative Finance and Accounting, Springer, vol. 29(4), pages 353-370, November.

  15. Angelidis, Timotheos & Degiannakis, Stavros, 2007. "Backtesting VaR Models: A Τwo-Stage Procedure," MPRA Paper 80418, University Library of Munich, Germany.

    Cited by:

    1. Muzaffer Akat & Cahit Memis, 2018. "Will Switching From The Var To The Expected Shortfall Provide The Efficiency In The Capital Adequacy? Evidence From The Fx Positions," Eurasian Journal of Business and Management, Eurasian Publications, vol. 6(2), pages 1-13.
    2. Stavros Degiannakis & Pamela Dent & Christos Floros, 2014. "A Monte Carlo Simulation Approach to Forecasting Multi-period Value-at-Risk and Expected Shortfall Using the FIGARCH-skT Specification," Manchester School, University of Manchester, vol. 82(1), pages 71-102, January.
    3. Benjamin Beckers & Helmut Herwartz & Moritz Seidel, 2017. "Risk forecasting in (T)GARCH models with uncorrelated dependent innovations," Quantitative Finance, Taylor & Francis Journals, vol. 17(1), pages 121-137, January.
    4. Chaker Aloui & Hela BEN HAMIDA, 2015. "Estimation and Performance Assessment of Value-at-Risk and Expected Shortfall Based on Long-Memory GARCH-Class Models," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 65(1), pages 30-54, January.
    5. Degiannakis, Stavros & Potamia, Artemis, 2017. "Multiple-days-ahead value-at-risk and expected shortfall forecasting for stock indices, commodities and exchange rates: Inter-day versus intra-day data," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 176-190.
    6. Christophe Boucher & Jon Danielsson & Patrick Kouontchou & Bertrand Maillet, 2014. "Risk models-at-risk," Post-Print hal-02312332, HAL.
    7. Aloui, Chaker & Hamida, Hela ben, 2014. "Modelling and forecasting value at risk and expected shortfall for GCC stock markets: Do long memory, structural breaks, asymmetry, and fat-tails matter?," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 349-380.
    8. Paul Bui Quang & Tony Klein & Nam H. Nguyen & Thomas Walther, 2018. "Value-at-Risk for South-East Asian Stock Markets: Stochastic Volatility vs. GARCH," JRFM, MDPI, vol. 11(2), pages 1-20, April.
    9. Degiannakis, Stavros & Floros, Christos & Livada, Alexandra, 2012. "Evaluating Value-at-Risk Models before and after the Financial Crisis of 2008: International Evidence," MPRA Paper 80463, University Library of Munich, Germany.
    10. Degiannakis, Stavros & Floros, Christos & Dent, Pamela, 2013. "Forecasting value-at-risk and expected shortfall using fractionally integrated models of conditional volatility: International evidence," International Review of Financial Analysis, Elsevier, vol. 27(C), pages 21-33.

  16. Angelidis, Timotheos & Degiannakis, Stavros, 2005. "Modeling Risk for Long and Short Trading Positions," MPRA Paper 80467, University Library of Munich, Germany.

    Cited by:

    1. Pradhan, Ashis Kumar & Tiwari, Aviral Kumar, 2021. "Estimating the market risk of clean energy technologies companies using the expected shortfall approach," Renewable Energy, Elsevier, vol. 177(C), pages 95-100.
    2. Angelidis, Timotheos & Degiannakis, Stavros, 2007. "Backtesting VaR Models: A Τwo-Stage Procedure," MPRA Paper 96327, University Library of Munich, Germany.
    3. Bucevska Vesna, 2013. "An Empirical Evaluation of GARCH Models in Value-at-Risk Estimation: Evidence from the Macedonian Stock Exchange," Business Systems Research, Sciendo, vol. 4(1), pages 49-64, March.
    4. Degiannakis, Stavros & Potamia, Artemis, 2017. "Multiple-days-ahead value-at-risk and expected shortfall forecasting for stock indices, commodities and exchange rates: Inter-day versus intra-day data," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 176-190.
    5. Maghyereh Aktham Issa & Awartani Basel, 2012. "Modeling and Forecasting Value-at-Risk in the UAE Stock Markets: The Role of Long Memory, Fat Tails and Asymmetries in Return Innovations," Review of Middle East Economics and Finance, De Gruyter, vol. 8(1), pages 1-22, August.
    6. Manuel Landajo & Javier De Andrés & Pedro Lorca, 2008. "Measuring firm performance by using linear and non‐parametric quantile regressions," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 57(2), pages 227-250, April.
    7. Degiannakis, Stavros & Floros, Christos & Livada, Alexandra, 2012. "Evaluating Value-at-Risk Models before and after the Financial Crisis of 2008: International Evidence," MPRA Paper 80463, University Library of Munich, Germany.
    8. Timotheos Angelidis & Stavros Degiannakis, 2007. "Backtesting VaR Models: An Expected Shortfall Approach," Working Papers 0701, University of Crete, Department of Economics.

  17. Angelidis, Timotheos & Benos, Alexandros & Degiannakis, Stavros, 2004. "The Use of GARCH Models in VaR Estimation," MPRA Paper 96332, University Library of Munich, Germany.

    Cited by:

    1. Li, Longqing, 2017. "A Comparative Study of GARCH and EVT Model in Modeling Value-at-Risk," MPRA Paper 85645, University Library of Munich, Germany.
    2. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2020. "The contribution of intraday jumps to forecasting the density of returns," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-02505861, HAL.
    3. Kulp-Tåg, Sofie, 2007. "An Empirical Investigation of Value-at-Risk in Long and Short Trading Positions," Working Papers 526, Hanken School of Economics.
    4. Degiannakis, Stavros & Filis, George, 2017. "Forecasting oil price realized volatility using information channels from other asset classes," MPRA Paper 96276, University Library of Munich, Germany.
    5. Mateusz Buczyński & Marcin Chlebus, 2017. "Is CAViaR model really so good in Value at Risk forecasting? Evidence from evaluation of a quality of Value-at-Risk forecasts obtained based on the: GARCH(1,1), GARCH-t(1,1), GARCH-st(1,1), QML-GARCH(," Working Papers 2017-29, Faculty of Economic Sciences, University of Warsaw.
    6. Václav Klepáč & David Hampel, 2015. "Assessing Efficiency of D-Vine Copula ARMA-GARCH Method in Value at Risk Forecasting: Evidence from PSE Listed Companies," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 63(4), pages 1287-1295.
    7. Stavros Degiannakis & Pamela Dent & Christos Floros, 2014. "A Monte Carlo Simulation Approach to Forecasting Multi-period Value-at-Risk and Expected Shortfall Using the FIGARCH-skT Specification," Manchester School, University of Manchester, vol. 82(1), pages 71-102, January.
    8. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2020. "The contribution of intraday jumps to forecasting the density of returns," Post-Print halshs-02505861, HAL.
    9. George Kouretas & Leonidas Zarangas, 2005. "Conditional autoregressive valu at risk by regression quantile: Estimatingmarket risk for major stock markets," Working Papers 0521, University of Crete, Department of Economics.
    10. Su, Jung-Bin & Lee, Ming-Chih & Chiu, Chien-Liang, 2014. "Why does skewness and the fat-tail effect influence value-at-risk estimates? Evidence from alternative capital markets," International Review of Economics & Finance, Elsevier, vol. 31(C), pages 59-85.
    11. Marco Bee & Fabrizio Miorelli, 2010. "Dynamic VaR models and the Peaks over Threshold method for market risk measurement: an empirical investigation during a financial crisis," Department of Economics Working Papers 1009, Department of Economics, University of Trento, Italia.
    12. Li, Leon, 2017. "Testing and comparing the performance of dynamic variance and correlation models in value-at-risk estimation," The North American Journal of Economics and Finance, Elsevier, vol. 40(C), pages 116-135.
    13. Shim Jeungbo & Lee Seung-Hwan, 2017. "Dependency between Risks and the Insurer’s Economic Capital: A Copula-based GARCH Model," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 11(1), pages 1-29, January.
    14. M. Jiménez Gamero, 2014. "On the empirical characteristic function process of the residuals in GARCH models and applications," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 23(2), pages 409-432, June.
    15. Manh Ha Nguyen & Olivier Darné, 2018. "Forecasting and risk management in the Vietnam Stock Exchange," Working Papers halshs-01679456, HAL.
    16. Louzis, Dimitrios P. & Xanthopoulos-Sisinis, Spyros & Refenes, Apostolos P., 2011. "The role of high frequency intra-daily data, daily range and implied volatility in multi-period Value-at-Risk forecasting," MPRA Paper 35252, University Library of Munich, Germany.
    17. Alberto Gallegos David & Arturo Lorenzo Valdes & Barbara Trejo Becerril, 2022. "Reference Price for the Mexican Crude Oil Mix Export Price: An Alternative Estimation for the Budget and Fiscal Responsibility Law," International Journal of Energy Economics and Policy, Econjournals, vol. 12(6), pages 237-247, November.
    18. Med Imen Gallali & Raggad Zahraa, 2012. "Evaluation of VaR models' forecasting performance: the case of oil markets," International Journal of Financial Services Management, Inderscience Enterprises Ltd, vol. 5(3), pages 197-215.
    19. Cyril Coste & Raphaël Douady & Ilija I. Zovko, 2011. "The Stress VaR: A New Risk Concept for Extreme Risk and Fund Allocation," Post-Print hal-00666234, HAL.
    20. Javed Iqbal & Sara Azher & Ayesha Ijaz, 2010. "Predictive Ability of Value-at-Risk Methods: Evidence from the Karachi Stock Exchange-100 Index," EERI Research Paper Series EERI_RP_2010_18, Economics and Econometrics Research Institute (EERI), Brussels.
    21. Angelidis, Timotheos & Degiannakis, Stavros, 2005. "Modeling Risk for Long and Short Trading Positions," MPRA Paper 80467, University Library of Munich, Germany.
    22. Chrétien, Stéphane & Coggins, Frank, 2010. "Performance and conservatism of monthly FHS VaR: An international investigation," International Review of Financial Analysis, Elsevier, vol. 19(5), pages 323-333, December.
    23. Christophe Chorro & Dominique Guegan & Florian Ielpo & Hanjarivo Lalaharison, 2014. "Testing for Leverage Effects in the Returns of US Equities," Documents de travail du Centre d'Economie de la Sorbonne 14022r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Jan 2017.
    24. Degiannakis, Stavros & Xekalaki, Evdokia, 2007. "Assessing the Performance of a Prediction Error Criterion Model Selection Algorithm in the Context of ARCH Models," MPRA Paper 96324, University Library of Munich, Germany.
    25. Onder Buberkoku, 2018. "Examining the Value-at-risk Performance of Fractionally Integrated GARCH Models: Evidence from Energy Commodities," International Journal of Economics and Financial Issues, Econjournals, vol. 8(3), pages 36-50.
    26. Mateusz Buczyński & Marcin Chlebus, 2019. "Old-fashioned parametric models are still the best. A comparison of Value-at-Risk approaches in several volatility states," Working Papers 2019-12, Faculty of Economic Sciences, University of Warsaw.
    27. Timotheos Angelidis & Alexandros Benos, 2008. "Value-at-Risk for Greek Stocks," Multinational Finance Journal, Multinational Finance Journal, vol. 12(1-2), pages 67-104, March-Jun.
    28. Ramzi Nekhili & Jahangir Sultan, 2020. "Jump Driven Risk Model Performance in Cryptocurrency Market," IJFS, MDPI, vol. 8(2), pages 1-18, April.
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    31. Angelidis, Timotheos & Degiannakis, Stavros, 2007. "Backtesting VaR Models: A Τwo-Stage Procedure," MPRA Paper 96327, University Library of Munich, Germany.
    32. Carol Alexander & Jose Maria Sarabia, 2010. "Endogenizing Model Risk to Quantile Estimates," ICMA Centre Discussion Papers in Finance icma-dp2010-07, Henley Business School, University of Reading.
    33. Su Xu, 2017. "A VaR assuming Student t distribution not significantly different from a VaR assuming normal distribution," Risk Management, Palgrave Macmillan, vol. 19(3), pages 189-201, August.
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    35. Braione, Manuela & Scholtes, Nicolas K., 2014. "Construction of value-at-risk forecasts under different distributional assumptions within a BEKK framework," LIDAM Discussion Papers CORE 2014059, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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    40. Degiannakis, Stavros & Filis, George, 2016. "Forecasting oil price realized volatility: A new approach," MPRA Paper 69105, University Library of Munich, Germany.
    41. Degiannakis, Stavros & Filis, George & Hassani, Hossein, 2018. "Forecasting global stock market implied volatility indices," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 111-129.
    42. Fries, Christian P. & Nigbur, Tobias & Seeger, Norman, 2017. "Displaced relative changes in historical simulation: Application to risk measures of interest rates with phases of negative rates," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 175-198.
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    56. Mateusz Buczynski & Marcin Chlebus, 2024. "GARCHNet: Value-at-Risk Forecasting with GARCH Models Based on Neural Networks," Computational Economics, Springer;Society for Computational Economics, vol. 63(5), pages 1949-1979, May.
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    58. Degiannakis, Stavros & Potamia, Artemis, 2017. "Multiple-days-ahead value-at-risk and expected shortfall forecasting for stock indices, commodities and exchange rates: Inter-day versus intra-day data," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 176-190.
    59. Jingxuan Liu & Ping Qiao & Jian Ding & Luke Hankinson & Elodie H. Harriman & Edward M. Schiller & Ieva Ramanauskaite & Haowei Zhang, 2020. "Will the Aviation Industry Have a Bright Future after the COVID-19 Outbreak? Evidence from Chinese Airport Shipping Sector," JRFM, MDPI, vol. 13(11), pages 1-14, November.
    60. Maghyereh Aktham Issa & Awartani Basel, 2012. "Modeling and Forecasting Value-at-Risk in the UAE Stock Markets: The Role of Long Memory, Fat Tails and Asymmetries in Return Innovations," Review of Middle East Economics and Finance, De Gruyter, vol. 8(1), pages 1-22, August.
    61. Bárbara Ruth Trejo Becerril & Alberto Gallegos David, 2021. "Estimación del Riesgo de Mercado utilizando el VaR y la Beta del CAPM," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(2), pages 1-26, Abril - J.
    62. Alexander, Carol & Sheedy, Elizabeth, 2008. "Developing a stress testing framework based on market risk models," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2220-2236, October.
    63. Charalampos Basdekis & Apostolos Christopoulos & Alexandros Gkolfinopoulos & Ioannis Katsampoxakis, 2022. "VaR as a risk management framework for the spot and futures tanker markets," Operational Research, Springer, vol. 22(4), pages 4287-4352, September.
    64. Brück, Florian & Fermanian, Jean-David & Min, Aleksey, 2023. "A corrected Clarke test for model selection and beyond," Journal of Econometrics, Elsevier, vol. 235(1), pages 105-132.
    65. Olusanya E. Olubusoye & OlaOluwa S. Yaya, 2016. "Time series analysis of volatility in the petroleum pricing markets: the persistence, asymmetry and jumps in the returns series," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 40(3), pages 235-262, September.
    66. Spring, Konstantin, 2021. "Backtesting the Expected Shortfall," Junior Management Science (JUMS), Junior Management Science e. V., vol. 6(3), pages 590-636.
    67. Berger, Theo, 2016. "On the isolated impact of copulas on risk measurement: Asimulation study," Economic Modelling, Elsevier, vol. 58(C), pages 475-481.
    68. Emrah ALTUN & Morad ALIZADEH & Gamze OZEL & Hüseyin TATLIDIL & Najmieh MAKSAYI, 2017. "Forecasting Value-At-Risk With Two-Step Method: Garch-Exponentiated Odd Log-Logistic Normal Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 97-115, December.
    69. Nico Katzke & Chris Garbers, 2015. "Do Long Memory and Asymmetries Matter When Assessing Downside Return Risk?," Working Papers 06/2015, Stellenbosch University, Department of Economics.
    70. Ben Salem, Ameni & Safer, Imene & Khefacha, Islem, 2022. "Value-at-Risk (VAR) Estimation Methods: Empirical Analysis based on BRICS Markets," MPRA Paper 113350, University Library of Munich, Germany, revised May 2022.
    71. Tomáš Konderla & Václav Klepáč, 2017. "Using HMM Approach for Assessing Quality of Value at Risk Estimation: Evidence from PSE Listed Company," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(5), pages 1687-1694.
    72. Manuela Braione & Nicolas K. Scholtes, 2016. "Forecasting Value-at-Risk under Different Distributional Assumptions," Econometrics, MDPI, vol. 4(1), pages 1-27, January.
    73. Antonio Díaz & Gonzalo García-Donato & Andrés Mora-Valencia, 2017. "Risk quantification in turmoil markets," Risk Management, Palgrave Macmillan, vol. 19(3), pages 202-224, August.
    74. Su, Ender & Wong, Kai Wen, 2018. "Measuring bank downside systemic risk in Taiwan," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 172-193.
    75. Stavros Degiannakis & Alexandra Livada & Epaminondas Panas, 2008. "Rolling-sampled parameters of ARCH and Levy-stable models," Applied Economics, Taylor & Francis Journals, vol. 40(23), pages 3051-3067.
    76. Degiannakis, Stavros & Floros, Christos & Dent, Pamela, 2013. "Forecasting value-at-risk and expected shortfall using fractionally integrated models of conditional volatility: International evidence," International Review of Financial Analysis, Elsevier, vol. 27(C), pages 21-33.
    77. Zhang, Heng-Guo & Su, Chi-Wei & Song, Yan & Qiu, Shuqi & Xiao, Ran & Su, Fei, 2017. "Calculating Value-at-Risk for high-dimensional time series using a nonlinear random mapping model," Economic Modelling, Elsevier, vol. 67(C), pages 355-367.
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    81. Hong Qiu & Genhua Hu & Yuhong Yang & Jeffrey Zhang & Ting Zhang, 2020. "Modeling the Risk of Extreme Value Dependence in Chinese Regional Carbon Emission Markets," Sustainability, MDPI, vol. 12(19), pages 1-15, September.
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    85. Mateusz Buczyński & Marcin Chlebus, 2021. "GARCHNet - Value-at-Risk forecasting with novel approach to GARCH models based on neural networks," Working Papers 2021-08, Faculty of Economic Sciences, University of Warsaw.
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    92. Degiannakis, Stavros, 2008. "Forecasting Vix," MPRA Paper 96307, University Library of Munich, Germany.
    93. Timotheos Angelidis & Stavros Degiannakis, 2007. "Backtesting VaR Models: An Expected Shortfall Approach," Working Papers 0701, University of Crete, Department of Economics.
    94. Ameni Ben Salem & Imene Safer & Islem Khefacha, 2021. "Value at Risk Estimation For the BRICS Countries : A Comparative Study," Post-Print hal-03502428, HAL.
    95. Angelidis, Timotheos & Degiannakis, Stavros, 2008. "Volatility forecasting: intra-day vs. inter-day models," MPRA Paper 80434, University Library of Munich, Germany.
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  18. Timotheos Angelidis & Alexandros Benos, "undated". "The Components of the Bid-Ask Spread: The case of the Athens Stock Exchange," Working Papers 0615, University of Crete, Department of Economics.

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    1. Webb, Robert I. & Ryu, Doojin & Ryu, Doowon & Han, Joongho, 2016. "The price impact of futures trades and their intraday seasonality," Emerging Markets Review, Elsevier, vol. 26(C), pages 80-98.
    2. Ryu, Doojin, 2016. "Considering all microstructure effects: The extension of a trade indicator model," Economics Letters, Elsevier, vol. 146(C), pages 107-110.
    3. Ibrahim, Boulis Maher & Kalaitzoglou, Iordanis Angelos, 2016. "Why do carbon prices and price volatility change?," Journal of Banking & Finance, Elsevier, vol. 63(C), pages 76-94.
    4. Chung, Kee H. & Park, Seongkyu “Gilbert” & Ryu, Doojin, 2016. "Trade duration, informed trading, and option moneyness," International Review of Economics & Finance, Elsevier, vol. 44(C), pages 395-411.
    5. Kalaitzoglou, Iordanis Angelos & Ibrahim, Boulis Maher, 2023. "Market conditions and order-type preference," International Review of Financial Analysis, Elsevier, vol. 87(C).
    6. Doojin Ryu, 2011. "Intraday price formation and bid–ask spread components: A new approach using a cross‐market model," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(12), pages 1142-1169, December.
    7. Kang, Bo Soo & Ryu, Doojin & Ryu, Doowon, 2014. "Phase-shifting behaviour revisited: An alternative measure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 167-173.
    8. Doojin Ryu, 2017. "Comprehensive market microstructure model: considering the inventory holding costs," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 18(2), pages 183-201, March.

Articles

  1. Angelidis, Timotheos & Sakkas, Athanasios & Spiliotopoulos, George, 2023. "Climate uncertainty and marginal climate capital needs," Finance Research Letters, Elsevier, vol. 56(C).

    Cited by:

    1. Vo, Hong & Nguyen, Tien & Phan, Hieu V., 2024. "Building a sustainable future: The role of corporate social responsibility in climate policy uncertainty management," Finance Research Letters, Elsevier, vol. 60(C).

  2. Angelidis, Timotheos & Degiannakis, Stavros & Filis, George, 2015. "US stock market regimes and oil price shocks," Global Finance Journal, Elsevier, vol. 28(C), pages 132-146.
    See citations under working paper version above.
  3. Angelidis, Timotheos & Sakkas, Athanasios & Tessaromatis, Nikolaos, 2015. "Stock market dispersion, the business cycle and expected factor returns," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 265-279.

    Cited by:

    1. Gric, Zuzana & Bajzík, Josef & Badura, Ondřej, 2023. "Does sentiment affect stock returns? A meta-analysis across survey-based measures," International Review of Financial Analysis, Elsevier, vol. 89(C).
    2. Kuntz, Laura-Chloé, 2020. "Beta dispersion and market timing," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 235-256.
    3. Flögel, Volker & Schlag, Christian & Zunft, Claudia, 2022. "Momentum-Managed Equity Factors," Journal of Banking & Finance, Elsevier, vol. 137(C).
    4. Angelidis, Timotheos & Tessaromatis, Nikolaos, 2014. "Global Style Portfolios Based on Country Indices," MPRA Paper 53094, University Library of Munich, Germany.
    5. Demirer, Riza & Pierdzioch, Christian & Zhang, Huacheng, 2017. "On the short-term predictability of stock returns: A quantile boosting approach," Finance Research Letters, Elsevier, vol. 22(C), pages 35-41.
    6. Hadhri, Sinda & Ftiti, Zied, 2019. "Asset allocation and investment opportunities in emerging stock markets: Evidence from return asymmetry-based analysis," Journal of International Money and Finance, Elsevier, vol. 93(C), pages 187-200.
    7. Cheng, Mengyao, 2022. "Legislative gridlock and stock return dispersion around roll-call votes," Journal of Banking & Finance, Elsevier, vol. 138(C).
    8. Docherty, Paul & Hurst, Gareth, 2018. "Return dispersion and conditional momentum returns: International evidence," Pacific-Basin Finance Journal, Elsevier, vol. 50(C), pages 263-278.
    9. Ekaterini Panopoulou & Nikolaos Voukelatos, 2022. "Should hedge funds deviate from the benchmark?," Financial Management, Financial Management Association International, vol. 51(3), pages 767-795, September.
    10. Jörg Döpke & Karsten Müller & Lars Tegtmeier, 2023. "Moments of cross‐sectional stock market returns and the German business cycle," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 52(2), July.
    11. Flögel, Volker & Schlag, Christian & Zunft, Claudia, 2021. "Momentum-managed equity factors," SAFE Working Paper Series 317, Leibniz Institute for Financial Research SAFE.
    12. Riza Demirer & Rangan Gupta & Zhihui Lv & Wing-Keung Wong, 2018. "Equity Return Dispersion and Stock Market Volatility: Evidence from Multivariate Linear and Nonlinear Causality Tests," Working Papers 201846, University of Pretoria, Department of Economics.
    13. Kolari, James W. & Huang, Jianhua Z. & Butt, Hilal Anwar & Liao, Huiling, 2022. "International tests of the ZCAPM asset pricing model," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    14. Schmidbauer, Harald & Rösch, Angi & Uluceviz, Erhan, 2017. "Frequency aspects of information transmission in a network of three western equity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 933-946.
    15. Miralles-Quirós, José Luis & Miralles-Quirós, María Mar, 2019. "Are alternative energies a real alternative for investors?," Energy Economics, Elsevier, vol. 78(C), pages 535-545.
    16. Eriksen, Jonas N., 2019. "Cross-sectional return dispersion and currency momentum," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 91-108.
    17. Kuntz, Laura-Chloé, 2020. "Beta dispersion and market timing," Discussion Papers 46/2020, Deutsche Bundesbank.
    18. Zuzana Gric & Josef Bajzik & Ondrej Badura, 2021. "Does Sentiment Affect Stock Returns? A Meta-analysis Across Survey-based Measures," Working Papers 2021/10, Czech National Bank.
    19. Qadan, Mahmoud & Jacob, Maram, 2022. "The value premium and investors' appetite for risk," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 194-219.
    20. Nam T. Vu & Jiayu Wu, 2020. "International Effects of Stock Market Dispersion," Southern Economic Journal, John Wiley & Sons, vol. 86(4), pages 1393-1417, April.
    21. Fei, Tianlun & Liu, Xiaoquan & Wen, Conghua, 2019. "Cross-sectional return dispersion and volatility prediction," Pacific-Basin Finance Journal, Elsevier, vol. 58(C).

  4. Andrikopoulos, Andreas & Angelidis, Timotheos & Skintzi, Vasiliki, 2014. "Illiquidity, return and risk in G7 stock markets: Interdependencies and spillovers," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 118-127.
    See citations under working paper version above.
  5. Angelidis, Timotheos & Giamouridis, Daniel & Tessaromatis, Nikolaos, 2013. "Revisiting mutual fund performance evaluation," Journal of Banking & Finance, Elsevier, vol. 37(5), pages 1759-1776.
    See citations under working paper version above.
  6. Angelidis, Timotheos & Tessaromatis, Nikolaos, 2010. "The efficiency of Greek public pension fund portfolios," Journal of Banking & Finance, Elsevier, vol. 34(9), pages 2158-2167, September.

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    1. Akshentseva, Ksenya (Акшенцева, Ксения) & Abramov, Alexander (Абрамов, Александр) & Chernovа, Maria (Чернова, Мария), 2015. "Problems of Formation and Evaluation of Strategies for Portfolio Investment of Pension Reserves, Accruals and Collective Investments in Russia [Проблемы Формирования И Оценки Результативности Страт," Published Papers mn24, Russian Presidential Academy of National Economy and Public Administration.
    2. Ebrahim, M. Shahid & Mathur, Ike & ap Gwilym, Rhys, 2014. "Integrating corporate ownership and pension fund structures: A general equilibrium approach," Journal of Banking & Finance, Elsevier, vol. 49(C), pages 553-569.
    3. Basse, Tobias & Karmani, Majdi & Rjiba, Hatem & Wegener, Christoph, 2023. "Does adhering to the principles of green finance matter for stock valuation? Evidence from testing for (co-)explosiveness," Energy Economics, Elsevier, vol. 123(C).
    4. Olexandr Yemelyanov & Anastasiya Symak & Tetyana Petrushka & Roman Lesyk & Lilia Lesyk, 2018. "Assessment of the Technological Changes Impact on the Sustainability of State Security System of Ukraine," Sustainability, MDPI, vol. 10(4), pages 1-24, April.
    5. Dormidontova, Yulia & Nazarov, Vladimir & A. Tikhonova, 2014. "Analysis of Approaches of Participants of Pension Products Market to the Development of Optimal Investment Strategies of Pension Savings," Published Papers r90227, Russian Presidential Academy of National Economy and Public Administration.
    6. Gökçen, Umut & Yalçın, Atakan, 2015. "The case against active pension funds: Evidence from the Turkish Private Pension System," Emerging Markets Review, Elsevier, vol. 23(C), pages 46-67.
    7. Azra Zaimovic & Adna Omanovic & Almira Arnaut-Berilo, 2021. "How Many Stocks Are Sufficient for Equity Portfolio Diversification? A Review of the Literature," JRFM, MDPI, vol. 14(11), pages 1-30, November.
    8. Borisova, Ginka & Brockman, Paul & Salas, Jesus M. & Zagorchev, Andrey, 2012. "Government ownership and corporate governance: Evidence from the EU," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 2917-2934.
    9. Milos Kopa & Kristina Sutiene & Audrius Kabasinskas & Ausrine Lakstutiene & Aidas Malakauskas, 2022. "Dominance Tracking Index for Measuring Pension Fund Performance with Respect to the Benchmark," Sustainability, MDPI, vol. 14(15), pages 1-28, August.

  7. Angelidis, Timotheos & Andrikopoulos, Andreas, 2010. "Idiosyncratic risk, returns and liquidity in the London Stock Exchange: A spillover approach," International Review of Financial Analysis, Elsevier, vol. 19(3), pages 214-221, June.
    See citations under working paper version above.
  8. Timotheos Angelidis, 2010. "Idiosyncratic Risk in Emerging Markets," The Financial Review, Eastern Finance Association, vol. 45(4), pages 1053-1078, November.
    See citations under working paper version above.
  9. Angelidis, Timotheos & Tessaromatis, Nikolaos, 2009. "Idiosyncratic risk matters! A regime switching approach," International Review of Economics & Finance, Elsevier, vol. 18(1), pages 132-141, January.

    Cited by:

    1. Qadan, Mahmoud & Shuval, Kerem, 2022. "Variance risk and the idiosyncratic volatility puzzle," Finance Research Letters, Elsevier, vol. 45(C).
    2. Abugri, Benjamin A. & Dutta, Sandip, 2014. "Are we overestimating REIT idiosyncratic risk? Analysis of pricing effects and persistence," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 249-259.
    3. Miralles-Marcelo, José Luis & Miralles-Quirós, María del Mar & Miralles-Quirós, José Luis, 2012. "Asset pricing with idiosyncratic risk: The Spanish case," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 261-271.
    4. Pilar Abad Romero & María Dolores Robles Fernández, 2012. "Credit rating agencies and unsystematic risk: Is there a linkage?," Documentos de Trabajo del ICAE 2012-17, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    5. Huang, Chia-Wei & Ho, Po-Hsin & Lin, Chih-Yung & Yen, Ju-Fang, 2014. "Firm age, idiosyncratic risk, and long-run SEO underperformance," International Review of Economics & Finance, Elsevier, vol. 34(C), pages 246-266.
    6. Qadan, Mahmoud, 2019. "Risk appetite, idiosyncratic volatility and expected returns," International Review of Financial Analysis, Elsevier, vol. 65(C).
    7. Abad, Pilar & Robles, M. Dolores, 2014. "Credit rating agencies and idiosyncratic risk: Is there a linkage? Evidence from the Spanish Market," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 152-171.
    8. Gurudeo Anand Tularam & Rajibur Reza, 2016. "Water exchange traded funds: A study on idiosyncratic risk using Markov switching analysis," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1139437-113, December.
    9. Guo, Haifeng & Brooks, Robert & Shami, Roland, 2010. "Detecting hot and cold cycles using a Markov regime switching model--Evidence from the Chinese A-share IPO market," International Review of Economics & Finance, Elsevier, vol. 19(2), pages 196-210, April.
    10. W K Adrian Cheung & Huimin Li & Eduardo Roca, 2010. "The Performance of Socially Responsible Investments Across Different Market Regimes," Discussion Papers in Finance finance:201018, Griffith University, Department of Accounting, Finance and Economics.
    11. Stavros Degiannakis & Andreas Andrikopoulos & Timotheos Angelidis & Christos Floros, 2013. "Return dispersion, stock market liquidity and aggregate economic activity," Working Papers 166, Bank of Greece.
    12. Mu-Shun Wang, 2013. "Idiosyncratic Volatility and the Expected Stock Returns for Exploring the Relationship with Panel Threshold Regression," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 20(2), pages 113-129, May.
    13. Constandina Koki & Stefanos Leonardos & Georgios Piliouras, 2020. "Exploring the Predictability of Cryptocurrencies via Bayesian Hidden Markov Models," Papers 2011.03741, arXiv.org, revised Dec 2020.
    14. Lin, Bing-Huei & Lin, Yueh-Neng & Chen, Yin-Jung, 2012. "Volatility risk premium decomposition of LIFFE equity options," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 315-326.
    15. Chunming Yuan, 2008. "Forecasting Exchange Rates: The Multi-State Markov-Switching Model with Smoothing," UMBC Economics Department Working Papers 09-115, UMBC Department of Economics, revised 01 Nov 2009.
    16. Malagon, Juliana & Moreno, David & Rodríguez, Rosa, 2018. "Idiosyncratic volatility, conditional liquidity and stock returns," International Review of Economics & Finance, Elsevier, vol. 53(C), pages 118-132.

  10. Timotheos Angelidis & Alexandros Benos, 2009. "The Components of the Bid‐Ask Spread: the Case of the Athens Stock Exchange," European Financial Management, European Financial Management Association, vol. 15(1), pages 112-144, January.
    See citations under working paper version above.
  11. Nikos S. Thomaidis & Timotheos Angelidis & Vassilios Vassiliadis & Georgios Dounias, 2009. "Active Portfolio Management With Cardinality Constraints: An Application Of Particle Swarm Optimization," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 5(03), pages 535-555.
    See citations under working paper version above.
  12. Angelidis, Timotheos & Tessaromatis, Nikolaos, 2008. "Idiosyncratic volatility and equity returns: UK evidence," International Review of Financial Analysis, Elsevier, vol. 17(3), pages 539-556, June.

    Cited by:

    1. Tariq Aziz & Valeed Ahmad Ansari, 2017. "Idiosyncratic volatility and stock returns: Indian evidence," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1420998-142, January.
    2. Angelidis, Timotheos & Andrikopoulos, Andreas, 2010. "Idiosyncratic risk, returns and liquidity in the London Stock Exchange: A spillover approach," International Review of Financial Analysis, Elsevier, vol. 19(3), pages 214-221, June.
    3. Maria Garcia-Vega & Alessandra Guariglia, 2007. "Volatility, Financial Constraints, and trade," Discussion Papers 07/33, University of Nottingham, GEP.
    4. Miralles-Marcelo, José Luis & Miralles-Quirós, María del Mar & Miralles-Quirós, José Luis, 2012. "Asset pricing with idiosyncratic risk: The Spanish case," International Review of Economics & Finance, Elsevier, vol. 21(1), pages 261-271.
    5. Ana Isabel Ramos Domingues & António de Melo da Costa Cerqueira & Elísio Fernando Moreira Brandão, 2016. "Idiosyncratic Volatility and Earnings Quality: Evidence from United Kingdom," FEP Working Papers 579, Universidade do Porto, Faculdade de Economia do Porto.
    6. Gan, Christopher & Nartea, Gilbert V. & Wu, Ji (George), 2018. "Predictive ability of low-frequency volatility measures: Evidence from the Hong Kong stock markets," Finance Research Letters, Elsevier, vol. 26(C), pages 40-46.
    7. Harmindar B. Nath & Vasilis Sarafidis, 2017. "Does persistence in idiosyncratic risk proxy return-reversals?," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, vol. 2(8), pages 27-53, October.
    8. Deligonul, Seyda Z., 2020. "Multinational country risk: Exposure to asset holding risk and operating risk in international business," Journal of World Business, Elsevier, vol. 55(2).
    9. Assis de Salles, Andre, 2021. "Assessing the First Shocks of Covid-19 Pandemic on the Idiosyncratic Risk in the Brazilian and the Emerging Markets," MPRA Paper 113586, University Library of Munich, Germany.
    10. Bing Xiao, 2015. "Does Idiosyncratic Risk Matter? Evidence from the Japanese Stock Market," Eurasian Journal of Business and Management, Eurasian Publications, vol. 3(3), pages 12-19.
    11. Mohamed Masry & Heba El Menshawy, 2018. "The Impact of Unsystematic Risk on Stock Returns in an Emerging Capital Markets (ECM¡¯s) Country: An Empirical Study," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 9(1), pages 189-202, January.
    12. Dinh, Minh Thi Hong, 2017. "The returns, risk and liquidity relationship in high frequency trading: Evidence from the Oslo stock market," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 30-40.
    13. Miffre, Joëlle & Brooks, Chris & Li, Xiafei, 2013. "Idiosyncratic volatility and the pricing of poorly-diversified portfolios," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 78-85.
    14. Tienyu Hwang & Simon Gao & Heather Owen, 2014. "Markowitz efficiency and size effect: evidence from the UK stock market," Review of Quantitative Finance and Accounting, Springer, vol. 43(4), pages 721-750, November.
    15. Bin Liu & Monica Tan & Marie-Anne Cam, 2019. "Reinvestigate the Bid–Ask Bounce Effect and Pricing of Idiosyncratic Volatility: The Case of the Australian Market," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 22(01), pages 1-23, March.
    16. Tienyu Hwang & Simon Gao & Heather Owen, 2012. "A two‐pass model study of the CAPM: evidence from the UK stock market," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 29(2), pages 89-104, June.
    17. Andre Assis de Salles, 2021. "COVID-19 Pandemic Initial Effects on the Idiosyncratic Risk in Latin America," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(3), pages 1-21, Julio - S.

  13. Angelidis, Timotheos & Degiannakis, Stavros, 2008. "Volatility forecasting: Intra-day versus inter-day models," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 18(5), pages 449-465, December.
    See citations under working paper version above.
  14. Timotheos Angelidis & George Skiadopoulos, 2008. "Measuring The Market Risk Of Freight Rates: A Value-At-Risk Approach," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 11(05), pages 447-469.

    Cited by:

    1. Alexandridis, George & Kavussanos, Manolis G. & Kim, Chi Y. & Tsouknidis, Dimitris A. & Visvikis, Ilias D., 2018. "A survey of shipping finance research: Setting the future research agenda," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 115(C), pages 164-212.
    2. Alizadeh, Amir H., 2013. "Trading volume and volatility in the shipping forward freight market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 250-265.
    3. Wessam M. T. Abouarghoub & Iris Biefang-Frisancho Mariscal, 2011. "Measuring level of risk exposure in tanker Shipping freight markets," International Journal of Business and Social Research, LAR Center Press, vol. 1(1), pages 20-44, December.
    4. Wenming Shi & Kevin X. Li & Zhongzhi Yang & Ganggang Wang, 2017. "Time-varying copula models in the shipping derivatives market," Empirical Economics, Springer, vol. 53(3), pages 1039-1058, November.
    5. Javier Población & Gregorio Serna, 2018. "A common long-term trend for bulk shipping prices," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(3), pages 421-432, September.
    6. Charalampos Basdekis & Apostolos Christopoulos & Alexandros Gkolfinopoulos & Ioannis Katsampoxakis, 2022. "VaR as a risk management framework for the spot and futures tanker markets," Operational Research, Springer, vol. 22(4), pages 4287-4352, September.
    7. Goulas, Lambros & Skiadopoulos, George, 2012. "Are freight futures markets efficient? Evidence from IMAREX," International Journal of Forecasting, Elsevier, vol. 28(3), pages 644-659.
    8. Kostas Andriosopoulos & Nikos Nomikos, 2012. "Risk management in the energy markets and Value-at-Risk modelling: a Hybrid approach," RSCAS Working Papers 2012/47, European University Institute.
    9. Yingying Kang & Rajan Batta & Changhyun Kwon, 2014. "Value-at-Risk model for hazardous material transportation," Annals of Operations Research, Springer, vol. 222(1), pages 361-387, November.
    10. Kavussanos, Manolis G. & Dimitrakopoulos, Dimitris N., 2011. "Market risk model selection and medium-term risk with limited data: Application to ocean tanker freight markets," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 258-268.
    11. Javier Población & Gregorio Serna, 2021. "Measuring bulk shipping prices risk," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(2), pages 291-309, June.

  15. Timotheos Angelidis & Alexandros Benos, 2008. "Value-at-Risk for Greek Stocks," Multinational Finance Journal, Multinational Finance Journal, vol. 12(1-2), pages 67-104, March-Jun.

    Cited by:

    1. Chlebus Marcin, 2017. "EWS-GARCH: New Regime Switching Approach to Forecast Value-at-Risk," Central European Economic Journal, Sciendo, vol. 3(50), pages 01-25, December.
    2. Timotheos Angelidis & Alexandros Benos & Stavros Degiannakis, 2007. "A robust VaR model under different time periods and weighting schemes," Review of Quantitative Finance and Accounting, Springer, vol. 28(2), pages 187-201, February.
    3. Degiannakis, Stavros & Floros, Christos & Livada, Alexandra, 2012. "Evaluating Value-at-Risk Models before and after the Financial Crisis of 2008: International Evidence," MPRA Paper 80463, University Library of Munich, Germany.
    4. Anna Rutkowska-Ziarko & Kamila Sobieska, 2016. "Ryzyko kwantylowe wybranych otwartych akcyjnych funduszy inwestycyjnych," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 40, pages 491-502.

  16. Timotheos Angelidis & Alexandros Benos & Stavros Degiannakis, 2007. "A robust VaR model under different time periods and weighting schemes," Review of Quantitative Finance and Accounting, Springer, vol. 28(2), pages 187-201, February.
    See citations under working paper version above.
  17. Timotheos Angelidis & Stavros Degiannakis, 2005. "Modeling risk for long and short trading positions," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 6(3), pages 226-238, July.
    See citations under working paper version above.
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