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Alexandros Gabrielsen

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First Name:Alexandros
Middle Name:
Last Name:Gabrielsen
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RePEc Short-ID:pga599
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Research output

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Jump to: Working papers Articles

Working papers

  1. Gabrielsen, A. & Zagaglia, Paolo & Kirchner, A. & Liu, Z., 2012. "Forecasting Value-at-Risk with time-varying variance, skewness and kurtosis in an exponential weighted moving average framework," MPRA Paper 39294, University Library of Munich, Germany.
  2. Gabrielsen, Alexandros & Marzo, Massimiliano & Zagaglia, Paolo, 2011. "Measuring market liquidity: an introductory survey," MPRA Paper 35829, University Library of Munich, Germany.

Articles

  1. Nicholas Apergis & Alexandros Gabrielsen & Lee A. Smales, 2016. "(Unusual) weather and stock returns—I am not in the mood for mood: further evidence from international markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 30(1), pages 63-94, February.
  2. Alizadeh, Amir H. & Gabrielsen, Alexandros, 2013. "Dynamics of credit spread moments of European corporate bond indexes," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 3125-3144.
  3. Nicholas Apergis & Alexandros Gabrielsen & James E. Payne & Paolo Zagaglia, 2012. "Convergence and clustering of Tier 1 capital in the European banking sector: a non-linear factor approach," International Journal of Monetary Economics and Finance, Inderscience Enterprises Ltd, vol. 5(2), pages 210-221.
  4. Alexandros Gabrielsen & Massimiliano Marzo & Paolo Zagaglia, 2012. "Measuring and Modelling the Market Liquidity of Stocks: Methods and Issues," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 1(4), pages 1-8.
  5. Nicholas Apergis & Alexander Gabrielsen, 2012. "The bank lending channel and lunar phases: Evidence from a panel of European banks," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 1(3), pages 1-1.

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. Gabrielsen, A. & Zagaglia, Paolo & Kirchner, A. & Liu, Z., 2012. "Forecasting Value-at-Risk with time-varying variance, skewness and kurtosis in an exponential weighted moving average framework," MPRA Paper 39294, University Library of Munich, Germany.

    Cited by:

    1. Lucas, André & Zhang, Xin, 2015. "Score Driven Exponentially Weighted Moving Averages and Value-at-Risk Forecasting," Working Paper Series 309, Sveriges Riksbank (Central Bank of Sweden).
    2. Ji Cao, 2017. "How does the underlying affect the risk-return profiles of structured products?," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 31(1), pages 27-47, February.
    3. Zoran Ivanovski & Zoran Narasanov & Nadica Ivanovska, 2015. "Volatility And Kurtosis At Emerging Markets: Comparative Analysis Of Macedonian Stock Exchange And Six Stock Markets From Central And Eastern Europe," Economy & Business Journal, International Scientific Publications, Bulgaria, vol. 9(1), pages 84-93.
    4. Radu Lupu, 2014. "Simultaneity of Tail Events for Dynamic Conditional Distributions of Stock Market Index Returns," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 49-64, December.
    5. Ivanovski, Zoran & Stojanovski, Toni & Narasanov, Zoran, 2015. "Volatility And Kurtosis Of Daily Stock Returns At Mse," UTMS Journal of Economics, University of Tourism and Management, Skopje, Macedonia, vol. 6(2), pages 209-221.

  2. Gabrielsen, Alexandros & Marzo, Massimiliano & Zagaglia, Paolo, 2011. "Measuring market liquidity: an introductory survey," MPRA Paper 35829, University Library of Munich, Germany.

    Cited by:

    1. Kalak, Izidin El & Azevedo, Alcino & Hudson, Robert & Karim, Mohamad Abd, 2017. "Stock liquidity and SMEs’ likelihood of bankruptcy: Evidence from the US market," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1383-1393.
    2. Afego, Pyemo N., 2017. "Effects of changes in stock index compositions: A literature survey," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 228-239.
    3. OUATTARA, Aboudou, 2016. "Impact of the transition to continous trading on emerging financial market's liquidity : Case study of the West Africa Regional Exchange Market (BRVM)," MPRA Paper 75391, University Library of Munich, Germany.
    4. Opazo, Luis & Raddatz, Claudio & Schmukler, Sergio L., 2014. "Institutional investors and long-term investment : evidence from Chile," Policy Research Working Paper Series 6922, The World Bank.
    5. Caporin, Massimiliano & Ranaldo, Angelo & Velo, Gabriel G., 2014. "Precious Metals Under the Microscope: A High-Frequency Analysis," Working Papers on Finance 1409, University of St. Gallen, School of Finance.
    6. Capelle-Blancard, Gunther & Havrylchyk, Olena, 2016. "The impact of the French securities transaction tax on market liquidity and volatility," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 166-178.
    7. Gunther Capelle-Blancard, 2017. "Curbing the Growth of Stock Trading? Order-to-Trade Ratios and Financial Transaction Taxes," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01441828, HAL.
    8. Caporin, Massimiliano & Ranaldo, Angelo & Velo, Gabriel G., 2013. "Stylized Facts and Dynamic Modeling of High-frequency Data on Precious Metals," Working Papers on Finance 1318, University of St. Gallen, School of Finance.
    9. Stefano Alderighi, 2017. "A note on how to enhance liquidity in emerging markets by levering on trading participants," Economics Bulletin, AccessEcon, vol. 37(4), pages 2526-2532.
    10. Anton Golub & Gregor Chliamovitch & Alexandre Dupuis & Bastien Chopard, 2014. "Multi-scale Representation of High Frequency Market Liquidity," Papers 1402.2198, arXiv.org.

Articles

  1. Nicholas Apergis & Alexandros Gabrielsen & Lee A. Smales, 2016. "(Unusual) weather and stock returns—I am not in the mood for mood: further evidence from international markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 30(1), pages 63-94, February.

    Cited by:

    1. Apergis, Nicholas & Gupta, Rangan, 2017. "Can (unusual) weather conditions in New York predict South African stock returns?," Research in International Business and Finance, Elsevier, vol. 41(C), pages 377-386.
    2. Nicholas Apergis & Rangan Gupta, 2016. "Can Weather Conditions in New York Predict South African Stock Returns?," Working Papers 201634, University of Pretoria, Department of Economics.

  2. Alizadeh, Amir H. & Gabrielsen, Alexandros, 2013. "Dynamics of credit spread moments of European corporate bond indexes," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 3125-3144.

    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. Nicholas Apergis & Alexandros Gabrielsen & Lee A. Smales, 2016. "(Unusual) weather and stock returns—I am not in the mood for mood: further evidence from international markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 30(1), pages 63-94, February.
    3. Changqing Luo & Mengzhen Li & Zisheng Ouyang, 2016. "An Empirical Study on the Correlation Structure of Credit Spreads based on the Dynamic and Pair Copula Functions," China Finance Review International, Emerald Group Publishing, vol. 6(3), pages 284-303, August.
    4. Ephraim Clark & Selima Baccar, 2018. "Modelling credit spreads with time volatility, skewness, and kurtosis," Annals of Operations Research, Springer, vol. 262(2), pages 431-461, March.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 7 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BAN: Banking (1) 2012-06-25
  2. NEP-ECM: Econometrics (1) 2012-06-25
  3. NEP-FMK: Financial Markets (1) 2012-01-03
  4. NEP-FOR: Forecasting (1) 2012-06-25
  5. NEP-MON: Monetary Economics (1) 2012-01-10
  6. NEP-MST: Market Microstructure (1) 2012-01-10
  7. NEP-RMG: Risk Management (1) 2012-06-25

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