A conservative discontinuous target volatility strategy

Author:

Cirelli Simone1,Vitali Sebastiano2ORCID,Ortobelli Lozza Sergio3ORCID,Moriggia Vittorio4

Affiliation:

1. Deloitte Consulting Srl, Strategy & Operation FSI

2. Ph.D., Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University, Prague

3. Ph.D., Department of Management, Economics and Quantitative Methods, University of Bergamo

4. Department of Management, Economics and Quantitative Methods, University of Bergamo

Abstract

The asset management sector is constantly looking for a reliable investment strategy, which is able to keep its promises. One of the most used approaches is the target volatility strategy that combines a risky asset with a risk-free trying to maintain the portfolio volatility constant over time. Several analyses highlight that such target is fulfilled on average, but in periods of crisis, the portfolio still suffers market’s turmoils. In this paper, the authors introduce an innovative target volatility strategy: the discontinuous target volatility. Such approach turns out to be more conservative in high volatility periods. Moreover, the authors compare the adoption of the VIX Index as a risk measure instead of the classical standard deviation and show whether the former is better than the latter. In the last section, the authors also extend the analysis to remove the risk-free assumption and to include the correlation structure between two risky assets. Empirical results on a wide time span show the capability of the new proposed strategy to enhance the portfolio performance in terms of standard measures and according to stochastic dominance theory.

Publisher

LLC CPC Business Perspectives

Subject

Strategy and Management,Economics and Econometrics,Finance,Business and International Management

Reference28 articles.

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2. Arak, M. I. (2013). Mitigating portfolio downside risk using vix-based products. Lehigh University, Theses and Dissertations. - http://preserve.lehigh. edu/etd/1415/

3. Banerjee, A., Srivastava, V., Cheng, T. (2016). Limiting risk exposure with S&P risk control indices. Tech. rep., S&P Global. - http://www.tandfonline.com/ doi/abs/10.1080/14697688.2013.80 4943?journalCode=rquf20

4. Bertrand, P., Prigent, J. L. (2001). Portfolio insurance strategies: Obpi versus cppi. GREQAM Working Paper, University of CERGY Working Paper No 2001-30. - https://papers.ssrn. com/sol3/papers.cfm?abstract_ id=299688

5. Biglova, A., Ortobelli, S., Rachev, S. T., Stoyanov, S. (2004). Different approaches to risk estimation in portfolio theory. The Journal of Portfolio Management, 31(1), 103-112. - http:// www.iijournals.com/doi/ abs/10.3905/jpm.2004.443328?journalCode=jpm

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