Does the inclusion of exposure to volatility into diversified portfolio improve the investment results? Portfolio construction from the perspective of a Polish investor
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Latoszek Michał & Ślepaczuk Robert, 2020. "Does the inclusion of exposure to volatility into diversified portfolio improve the investment results? Portfolio construction from the perspective of a Polish investor," Economics and Business Review, Sciendo, vol. 6(1), pages 46-81, March.
References listed on IDEAS
- Carol Alexander & Dimitris Korovilas, 2011. "The Hazards of Volatility Diversification," ICMA Centre Discussion Papers in Finance icma-dp2011-04, Henley Business School, University of Reading.
- Richard H. Thaler & Shlomo Benartzi, 2001. "Naive Diversification Strategies in Defined Contribution Saving Plans," American Economic Review, American Economic Association, vol. 91(1), pages 79-98, March.
- Elvira Caloiero & Massimo Guidolin, 2017. "Volatility as an Alternative asset Class: Does It Improve Portfolio Performance?," BAFFI CAREFIN Working Papers 1763, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
- repec:dau:papers:123456789/9298 is not listed on IDEAS
- Craig Israelsen, 2005. "A refinement to the Sharpe ratio and information ratio," Journal of Asset Management, Palgrave Macmillan, vol. 5(6), pages 423-427, April.
- Ser-Huang Poon & Clive W.J. Granger, 2003. "Forecasting Volatility in Financial Markets: A Review," Journal of Economic Literature, American Economic Association, vol. 41(2), pages 478-539, June.
- Marie Brière & Jean-David Fermanian & Hassan Malongo & Ombretta Signori, 2012. "Volatility Strategies for Global and Country Specific European Investors," Post-Print hal-01494509, HAL.
- Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Souto Hugo Gobato & Moradi Amir, 2023. "Forecasting realized volatility through financial turbulence and neural networks," Economics and Business Review, Sciendo, vol. 9(2), pages 133-159, April.
- Bui, Quynh & Ślepaczuk, Robert, 2022. "Applying Hurst Exponent in pair trading strategies on Nasdaq 100 index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 592(C).
- Paweł Jakubowski & Robert Ślepaczuk & Franciszek Windorbski, 2023. "REnsembling ARIMAX Model in Algorithmic Investment Strategies on Commodities Market," Working Papers 2023-20, Faculty of Economic Sciences, University of Warsaw.
- Helena Gaspars-Wieloch & Dominik Gawroński, 2024. "How can one improve SAW and max-min multi-criteria rankings based on uncertain decision rules?," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 34(1), pages 131-148.
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.- Lars Stentoft, 2008. "Option Pricing using Realized Volatility," CREATES Research Papers 2008-13, Department of Economics and Business Economics, Aarhus University.
- Rui Pedro Brito & Hélder Sebastião & Pedro Godinho, 2016.
"Efficient skewness/semivariance portfolios,"
Journal of Asset Management, Palgrave Macmillan, vol. 17(5), pages 331-346, September.
- Rui Pedro Brito & Hélder Sebastião & Pedro Godinho, 2015. "Efficient Skewness/Semivariance Portfolios," GEMF Working Papers 2015-05, GEMF, Faculty of Economics, University of Coimbra.
- Siriopoulos, Costas & Fassas, Athanasios, 2012. "An investor sentiment barometer — Greek Implied Volatility Index (GRIV)," Global Finance Journal, Elsevier, vol. 23(2), pages 77-93.
- Luiz Vitiello & Ivonia Rebelo, 2015. "A note on the pricing of multivariate contingent claims under a transformed-gamma distribution," Review of Derivatives Research, Springer, vol. 18(3), pages 291-300, October.
- Guimaraes, Jonathan S. & Cruz, Jose Cesar, 2017. "Future volatility forecast in agricultural commodity markets," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258480, Agricultural and Applied Economics Association.
- Ryan Kellogg, 2014.
"The Effect of Uncertainty on Investment: Evidence from Texas Oil Drilling,"
American Economic Review, American Economic Association, vol. 104(6), pages 1698-1734, June.
- Ryan Kellogg, 2010. "The Effect of Uncertainty on Investment: Evidence from Texas Oil Drilling," NBER Working Papers 16541, National Bureau of Economic Research, Inc.
- Leonid Kogan & Stephen A. Ross & Jiang Wang & Mark M. Westerfield, 2006.
"The Price Impact and Survival of Irrational Traders,"
Journal of Finance, American Finance Association, vol. 61(1), pages 195-229, February.
- Kogan, Leonid & Ross, Stephen & Wang, Jiang & Westerfield, Mark, 2003. "The Price Impact and Survival of Irrational Traders," Working papers 4293-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
- Leonid Kogan & Stephan Ross & Jiang Wang & Mark Westerfield, 2004. "Price Impact and Survival of Irrational Traders," FAME Research Paper Series rp116, International Center for Financial Asset Management and Engineering.
- Leonid Kogan & Stephen Ross, 2004. "The Price Impact and Survival of Irrational Traders," 2004 Meeting Papers 35, Society for Economic Dynamics.
- Leonid Kogan & Stephen Ross & Jiang Wang & Mark Westerfield, 2003. "The Price Impact and Survival of Irrational Traders," NBER Working Papers 9434, National Bureau of Economic Research, Inc.
- Hans Byström, 2015.
"Credit‐Implied Equity Volatility—Long‐Term Forecasts and Alternative Fear Gauges,"
Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(8), pages 753-775, August.
- Byström, Hans, 2014. "Credit-Implied Equity Volatility – Long-Term Forecasts and Alternative Fear Gauges," Working Papers 2014:34, Lund University, Department of Economics.
- Amit K. Sinha, 2021. "The reliability of geometric Brownian motion forecasts of S&P500 index values," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1444-1462, December.
- Çepni, Oğuzhan & Gupta, Rangan & Pienaar, Daniel & Pierdzioch, Christian, 2022.
"Forecasting the realized variance of oil-price returns using machine learning: Is there a role for U.S. state-level uncertainty?,"
Energy Economics, Elsevier, vol. 114(C).
- Oguzhan Cepni & Rangan Gupta & Daniel Pienaar & Christian Pierdzioch, 2022. "Forecasting the Realized Variance of Oil-Price Returns Using Machine-Learning: Is there a Role for U.S. State-Level Uncertainty?," Working Papers 202205, University of Pretoria, Department of Economics.
- Victor Olkhov, 2022.
"Market-Based Asset Price Probability,"
Papers
2205.07256, arXiv.org, revised Dec 2024.
- Olkhov, Victor, 2022. "The Market-Based Asset Price Probability," MPRA Paper 115382, University Library of Munich, Germany, revised 16 Nov 2022.
- Olkhov, Victor, 2022. "The Market-Based Asset Price Probability," MPRA Paper 113096, University Library of Munich, Germany.
- Carl H. Korkpoe & Peterson Owusu Junior, 2018. "Behaviour of Johannesburg Stock Exchange All Share Index Returns - An Asymmetric GARCH and News Impact Effects Approach," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 68(1), pages 26-42, January-M.
- Xekalaki, Evdokia & Degiannakis, Stavros, 2005.
"Evaluating volatility forecasts in option pricing in the context of a simulated options market,"
Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 611-629, April.
- Xekalaki, Evdokia & Degiannakis, Stavros, 2005. "Evaluating Volatility Forecasts in Option Pricing in the Context of a Simulated Options Market," MPRA Paper 80468, University Library of Munich, Germany.
- Björn Uhl, 2024. "Sharpe-optimal volatility futures carry," Journal of Asset Management, Palgrave Macmillan, vol. 25(3), pages 288-302, May.
- Silvia Muzzioli, 2010. "Towards a volatility index for the Italian stock market," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 10091, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
- Adrian Fernandez‐Perez & Bart Frijns & Ilnara Gafiatullina & Alireza Tourani‐Rad, 2019. "Properties and the predictive power of implied volatility in the New Zealand dairy market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(5), pages 612-631, May.
- Tsiaras, Leonidas, 2009.
"The Forecast Performance of Competing Implied Volatility Measures: The Case of Individual Stocks,"
Finance Research Group Working Papers
F-2009-02, University of Aarhus, Aarhus School of Business, Department of Business Studies.
- Leonidas Tsiaras, 2010. "The Forecast Performance of Competing Implied Volatility Measures: The Case of Individual Stocks," CREATES Research Papers 2010-34, Department of Economics and Business Economics, Aarhus University.
- Cheuathonghua, Massaporn & Padungsaksawasdi, Chaiyuth, 2024. "The volume-implied volatility relation in financial markets: A behavioral explanation," The North American Journal of Economics and Finance, Elsevier, vol. 71(C).
- Rui Pedro Brito & Hélder Sebastião & Pedro Godinho, 2015. "Portfolio Management With Higher Moments: The Cardinality Impact," GEMF Working Papers 2015-15, GEMF, Faculty of Economics, University of Coimbra.
- Chun, Dohyun & Cho, Hoon & Ryu, Doojin, 2019. "Forecasting the KOSPI200 spot volatility using various volatility measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 156-166.
More about this item
Keywords
Volatility; asset class; portfolio optimization; Polish market; Markowitz portfolio; naïve diversification;All these keywords.
JEL classification:
- C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
- C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
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:war:wpaper:2019-14. 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: Marcin Bąba (email available below). General contact details of provider: https://edirc.repec.org/data/fesuwpl.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.