Do Portfolio Investors Need To Consider The Asymmetry Of Returns On The Russian Stock Market?
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Walter Briec & Kristiaan Kerstens & Octave Jokung, 2007.
"Mean-Variance-Skewness Portfolio Performance Gauging: A General Shortage Function and Dual Approach,"
Management Science, INFORMS, vol. 53(1), pages 135-149, January.
- Walter Briec & Kristiaan Kerstens & Octave Jokung, 2005. "Mean-Variance-Skewness Portfolio Performance Gauging: A General Shortage Function and Dual Approach," Working Papers 2005-ECO-05, IESEG School of Management.
- W. Briec & K. Kerstens & Octave Jokung-Nguena, 2007. "Mean-variance-skewness portfolio performance gauging: A general shortage function and dual approach," Post-Print hal-00211572, HAL.
- K. Kerstens, 2005. "Mean-Variance Skewness Portfolio Performance Gauging:A General Shortage Function and Dual Approach," Post-Print hal-00288765, HAL.
- Akbar, Muhammad & Nguyen, Thuy Thu, 2016. "The explanatory power of higher moment capital asset pricing model in the Karachi stock exchange," Research in International Business and Finance, Elsevier, vol. 36(C), pages 241-253.
- Mencía, Javier & Sentana, Enrique, 2009.
"Multivariate location-scale mixtures of normals and mean-variance-skewness portfolio allocation,"
Journal of Econometrics, Elsevier, vol. 153(2), pages 105-121, December.
- Javier Mencía & Enrique Sentana, 2008. "Multivariate Location-Scale Mixtures of Normals and Mean-Variance-skewness Portfolio Allocation," Working Papers wp2008_0805, CEMFI.
- Javier Mencía & Enrique Sentana, 2009. "Multivariate location-scale mixtures of normals and mean-variance-skewness portfolio allocation," Working Papers 0909, Banco de España.
- Roy van der Weide, 2002. "GO-GARCH: a multivariate generalized orthogonal GARCH model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 549-564.
- Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
- Kerstens, Kristiaan & Mounir, Amine & Van de Woestyne, Ignace, 2011.
"Geometric representation of the mean-variance-skewness portfolio frontier based upon the shortage function,"
European Journal of Operational Research, Elsevier, vol. 210(1), pages 81-94, April.
- K. Kerstens, 2007. "Geometric Representation of the Mean-Variance-Skewness Porfolio Frontier Based upon the Shortage Function," Post-Print hal-00288790, HAL.
- K. Kerstens & A. Mounir & I. van de Woestyne, 2011. "Geometric representation of the mean-variance-skewness portfolio frontier based upon the shortage function," Post-Print hal-00551848, HAL.
- Kristiaan Kerstens & Amine Mounir & Ignace Van de Woestyne, 2008. "Geometric Representation of the Mean-Variance-Skewness Portfolio Frontier Based upon the Shortage Function," Working Papers 2008-ECO-17, IESEG School of Management.
- Kerstens, Kristiaan & Mounier, Amine & Van de Woestyne, Ignace, 2008. "Geometric representation of the mean-variance-skewness portfolio frontier based upon the shortage function," Working Papers 2008/61, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
- Piotr Jaworski & Marcin Pitera, 2014. "On spatial contagion and multivariate GARCH models," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 30(3), pages 303-327, May.
- Li, Xiang & Qin, Zhongfeng & Kar, Samarjit, 2010. "Mean-variance-skewness model for portfolio selection with fuzzy returns," European Journal of Operational Research, Elsevier, vol. 202(1), pages 239-247, April.
- Eisdorfer, Assaf, 2010. "Risk-shifting and investment asymmetry," Finance Research Letters, Elsevier, vol. 7(4), pages 232-237, December.
- Bollerslev, Tim, 1986.
"Generalized autoregressive conditional heteroskedasticity,"
Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
- Tim Bollerslev, 1986. "Generalized autoregressive conditional heteroskedasticity," EERI Research Paper Series EERI RP 1986/01, Economics and Econometrics Research Institute (EERI), Brussels.
- Bodnar, Taras & Parolya, Nestor & Schmid, Wolfgang, 2015.
"On the exact solution of the multi-period portfolio choice problem for an exponential utility under return predictability,"
European Journal of Operational Research, Elsevier, vol. 246(2), pages 528-542.
- Taras Bodnar & Nestor Parolya & Wolfgang Schmid, 2012. "On the Exact Solution of the Multi-Period Portfolio Choice Problem for an Exponential Utility under Return Predictability," Papers 1207.1037, arXiv.org.
- John R. Birge & Luis Chavez-Bedoya, 2016. "Portfolio optimization under a generalized hyperbolic skewed t distribution and exponential utility," Quantitative Finance, Taylor & Francis Journals, vol. 16(7), pages 1019-1036, July.
- Kane, Alex, 1982. "Skewness Preference and Portfolio Choice," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 17(1), pages 15-25, March.
- Palczewski, Jan & Poulsen, Rolf & Schenk-Hoppé, Klaus Reiner & Wang, Huamao, 2015. "Dynamic portfolio optimization with transaction costs and state-dependent drift," European Journal of Operational Research, Elsevier, vol. 243(3), pages 921-931.
- Luis Zuluaga & Samuel Cox, 2010. "Improving Skewness of Mean-Variance Portfolios," North American Actuarial Journal, Taylor & Francis Journals, vol. 14(1), pages 59-67.
- Campbell Harvey & John Liechty & Merrill Liechty & Peter Muller, 2010. "Portfolio selection with higher moments," Quantitative Finance, Taylor & Francis Journals, vol. 10(5), pages 469-485.
- Kim, Woo Chang & Fabozzi, Frank J. & Cheridito, Patrick & Fox, Charles, 2014. "Controlling portfolio skewness and kurtosis without directly optimizing third and fourth moments," Economics Letters, Elsevier, vol. 122(2), pages 154-158.
- Fogler, H. Russell & Groves, William A. & Richardson, James G., 1977. "Bond Portfolio Strategies, Returns, and Skewness: A Note," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 12(1), pages 127-140, March.
- Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-350, July.
- Ole E. Barndorff-Nielsen, 1997. "Processes of normal inverse Gaussian type," Finance and Stochastics, Springer, vol. 2(1), pages 41-68.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Lakshina, Valeriya, 2020. "Do portfolio investors need to consider the asymmetry of returns on the Russian stock market?," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
- Vincenzo Candila, 2013. "A Comparison of the Forecasting Performances of Multivariate Volatility Models," Working Papers 3_228, Dipartimento di Scienze Economiche e Statistiche, Università degli Studi di Salerno.
- Laurent, Sébastien & Rombouts, Jeroen V.K. & Violante, Francesco, 2013.
"On loss functions and ranking forecasting performances of multivariate volatility models,"
Journal of Econometrics, Elsevier, vol. 173(1), pages 1-10.
- Sébastien Laurent & Jeroen Rombouts & Francesco Violente, 2009. "On Loss Functions and Ranking Forecasting Performances of Multivariate Volatility Models," CIRANO Working Papers 2009s-45, CIRANO.
- Sébastien Laurent & Jeroen V.K. Rombouts & Francesco Violante, 2009. "On Loss Functions and Ranking Forecasting Performances of Multivariate Volatility Models," Cahiers de recherche 0948, CIRPEE.
- Kim, Donggyu & Fan, Jianqing, 2019. "Factor GARCH-Itô models for high-frequency data with application to large volatility matrix prediction," Journal of Econometrics, Elsevier, vol. 208(2), pages 395-417.
- Li, Degui, 2024. "Estimation of Large Dynamic Covariance Matrices: A Selective Review," Econometrics and Statistics, Elsevier, vol. 29(C), pages 16-30.
- Barigozzi, Matteo & Hallin, Marc, 2017.
"Generalized dynamic factor models and volatilities: estimation and forecasting,"
Journal of Econometrics, Elsevier, vol. 201(2), pages 307-321.
- Matteo Barigozzi & Marc Hallin, 2015. "Generalized Dynamic Factor Models and Volatilities: Estimation and Forecasting," Working Papers ECARES ECARES 2015-22, ULB -- Universite Libre de Bruxelles.
- Barigozzi, Matteo & Hallin, Marc, 2017. "Generalized dynamic factor models and volatilities estimation and forecasting," LSE Research Online Documents on Economics 67455, London School of Economics and Political Science, LSE Library.
- Carroll, Rachael & Conlon, Thomas & Cotter, John & Salvador, Enrique, 2017. "Asset allocation with correlation: A composite trade-off," European Journal of Operational Research, Elsevier, vol. 262(3), pages 1164-1180.
- Andrea Silvestrini & David Veredas, 2008.
"Temporal Aggregation Of Univariate And Multivariate Time Series Models: A Survey,"
Journal of Economic Surveys, Wiley Blackwell, vol. 22(3), pages 458-497, July.
- Andrea Silvestrini & David Veredas, 2008. "Temporal aggregation of univariate and multivariate time series models: a survey," ULB Institutional Repository 2013/136205, ULB -- Universite Libre de Bruxelles.
- Andrea Silvestrini & David Veredas, 2008. "Temporal aggregation of univariate and multivariate time series models: A survey," Temi di discussione (Economic working papers) 685, Bank of Italy, Economic Research and International Relations Area.
- SILVESTRINI, Andrea & VEREDAS, David, 2009. "Temporal aggregation of univariate and multivariate time series models: A survey," LIDAM Reprints CORE 2013, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Xiaoning Kang & Xinwei Deng & Kam‐Wah Tsui & Mohsen Pourahmadi, 2020. "On variable ordination of modified Cholesky decomposition for estimating time‐varying covariance matrices," International Statistical Review, International Statistical Institute, vol. 88(3), pages 616-641, December.
- M. Raddant & T. Di Matteo, 2023.
"A look at financial dependencies by means of econophysics and financial economics,"
Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(4), pages 701-734, October.
- M. Raddant & T. Di Matteo, 2023. "A Look at Financial Dependencies by Means of Econophysics and Financial Economics," Papers 2302.08208, arXiv.org.
- Briec, Walter & Kerstens, Kristiaan & Van de Woestyne, Ignace, 2011. "Portfolio Selection with Skewness: A Comparison and a Generalized Two Fund Separation Result," Working Papers 2011/09, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
- Briec, Walter & Kerstens, Kristiaan & Van de Woestyne, Ignace, 2013.
"Portfolio selection with skewness: A comparison of methods and a generalized one fund result,"
European Journal of Operational Research, Elsevier, vol. 230(2), pages 412-421.
- Walter Briec & Kristiaan Kerstens & Ignace Van de Woestyne, 2013. "Portfolio Selection with Skewness: A Comparison of Methods and a Generalized One Fund Result," Working Papers 2013-ECO-04, IESEG School of Management.
- W. Briec & K. Kerstens & I. van de Woestyne, 2013. "Portfolio selection with skewness : a comparison of methods and a generalized one fund result," Post-Print hal-00837674, HAL.
- Ruili Sun & Tiefeng Ma & Shuangzhe Liu & Milind Sathye, 2019. "Improved Covariance Matrix Estimation for Portfolio Risk Measurement: A Review," JRFM, MDPI, vol. 12(1), pages 1-34, March.
- Santos, André A.P. & Moura, Guilherme V., 2014. "Dynamic factor multivariate GARCH model," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 606-617.
- João Caldeira & Guilherme Moura & André A.P. Santos, 2012. "Portfolio optimization using a parsimonious multivariate GARCH model: application to the Brazilian stock market," Economics Bulletin, AccessEcon, vol. 32(3), pages 1848-1857.
- K. Saranya & P. Prasanna, 2014. "Portfolio Selection and Optimization with Higher Moments: Evidence from the Indian Stock Market," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 21(2), pages 133-149, May.
- BAUWENS, Luc & HAFNER, Christian & LAURENT, Sébastien, 2011.
"Volatility models,"
LIDAM Discussion Papers CORE
2011058, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Bauwens, L. & Hafner, C. & Laurent, S., 2012. "Volatility Models," LIDAM Reprints ISBA 2012028, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Bauwens, L. & Hafner C. & Laurent, S., 2011. "Volatility Models," LIDAM Discussion Papers ISBA 2011044, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Jarjour, Riad & Chan, Kung-Sik, 2020. "Dynamic conditional angular correlation," Journal of Econometrics, Elsevier, vol. 216(1), pages 137-150.
- Cheng Yu & Dong Li & Feiyu Jiang & Ke Zhu, 2023. "Matrix GARCH Model: Inference and Application," Papers 2306.05169, arXiv.org.
- Kwangmin Jung & Donggyu Kim & Seunghyeon Yu, 2022.
"Next generation models for portfolio risk management: An approach using financial big data,"
Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(3), pages 765-787, September.
- Kwangmin Jung & Donggyu Kim & Seunghyeon Yu, 2021. "Next Generation Models for Portfolio Risk Management: An Approach Using Financial Big Data," Papers 2102.12783, arXiv.org, revised Feb 2022.
More about this item
Keywords
portfolio optimization; asymmetry of returns; risk aversion; GO-GARCH; normal-inverse Gaussian distribution; utility approach.;All these keywords.
JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
NEP fields
This paper has been announced in the following NEP Reports:- NEP-CIS-2019-07-08 (Confederation of Independent States)
- NEP-ORE-2019-07-08 (Operations Research)
- NEP-RMG-2019-07-08 (Risk Management)
- NEP-UPT-2019-07-08 (Utility Models and Prospect Theory)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hig:wpaper:75/fe/2019. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Shamil Abdulaev or Shamil Abdulaev (email available below). General contact details of provider: https://edirc.repec.org/data/hsecoru.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.