A conservative discontinuous target volatility strategy
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DOIhttp://dx.doi.org/10.21511/imfi.14(2-1).2017.03
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Article InfoVolume 14 2017, Issue #2 (cont. 1), pp. 176-190
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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.
- Keywords
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JEL Classification (Paper profile tab)G11
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References28
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Tables4
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Figures9
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- Figure 1. Comparative results for the TVS STD portfolio and the S&P 500
- Figure 2. Comparative results for the TVS VIX portfolio and the S&P 500
- Figure 3. Comparative results for the DTVS STD portfolio and the S&P 500
- Figure 4. Comparative results for the DTVS VIX portfolio and the S&P 500
- Figure 5. Comparative results for the TVS STD portfolio and the S&P 500
- Figure 6. Comparative results for the TVS VIX portfolio and the S&P 500
- Figure 7. Comparative results for the DTVS STD portfolio and the S&P 500
- Figure 8. Comparative results for the DTVS VIX portfolio and the S&P 500
- Figure 9. Volatility structure of S&P 500 and 3-month Treasury Bill rate
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- Table 1. Portfolio statistics for constant frequency rebalancing case
- Table 2. Portfolio statistics for rebalancing buffer case
- Table 3. Portfolio statistics for rebalancing buffer case removing risk-free assumption
- Table 4. Dominance relations between the strategies and the S&P 500 index
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- Albeverio, S., Steblovskaya, V., Wallbaum, K. (2013). Investment instruments with volatility target mechanism. Quantitative Finance, 13(10), 1519-1528.
- Arak, M. I. (2013). Mitigating portfolio downside risk using vix-based products. Lehigh University, Theses and Dissertations.
- Banerjee, A., Srivastava, V., Cheng, T. (2016). Limiting risk exposure with S&P risk control indices. Tech. rep., S&P Global.
- Bertrand, P., Prigent, J. L. (2001). Portfolio insurance strategies: Obpi versus cppi. GREQAM Working Paper, University of CERGY Working Paper No 2001-30.
- 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.
- Black, F., Perold, A. F. (1992). Theory of constant proportion portfolio insurance. Journal of Economic Dynamics and Control, 16(3- 4), 403-426.
- Cipollini, A. P. L., Manzini, A. (2007). Can the vix signal market’s direction? An asymmetric dynamic strategy.
- CME Group. (2011). Introduction to the dow jones volatility risk control indexes. Tech. rep., CME Group Company.
- Collie, B., Sylvanus, M., Thomas, M. (2011). Volatility-responsive asset allocation. Russell Viewpoint.
- Dash, S., Moran, M. T. (2005). Vix as a companion for hedge fund portfolios. The Journal of Alternative Investments, 8(3), 75.
- Davidson, R., Duclos, J. Y. (2000). Statistical inference for stochastic dominance and for the measurement of poverty and inequality. Econometrica, 68(6), 1435-1464.
- Giese, G. (2010a). Risk controlled investment strategies. Tech. rep., STOXX Index Guide.
- Giese, G. (2010b). Volatility as an asset class. Tech. rep., Research Repelt. STOXX.
- Herold, U., Maurer, R., Stamos, M., Vo, H. T. (2007). Total return strategies for multi-asset portfolios. Journal of Portfolio Management, 33(2), 60.
- Ho, Lc., Cadle, J., Theobald, M. (2010). Portfolio insurance strategies: Review of theory and empirical studies. Handbook of Quantitative Finance and Risk Management, Springer, 319-332.
- Joy, A. G. (2010). A dynamic optimization model incorporating the vix index to predict future returns. PhD thesis, Emory University.
- Kopa, M., Thierry, P. (2015). A general test for SSD portfolio efficiency. OR spectrum, 37(3), 703-734.
- Kopa, M., Moriggia, V., Vitali, S. (2016). Individual optimal pension allocation under stochastic dominance constraints. Annals of Operations Research, 1-37.
- Marra, S. (2014). Dynamic volatility targeting. Tech. rep., Lazard Asset Management.
- Morrison, S., Tadrowski, L. (2013). Guarantees and target volatility funds. Moody analytics, September.
- Müller, A., Stoyan, D. (2002). Comparison methods for stochastic models and risks. John Wiley & Sons Ltd, Chichester.
- Perold A. F., Sharpe, W. F. (1988). Dynamic strategies for asset allocation. Financial Analysts Journal, 44(1), 16-27.
- Qian, E. (2011). Risk parity and diversification. Journal of Investing, 20(1), 119.
- Sears, S. (2013). Blackrock: Volatility is an asset. Barrons.
- Sharpe, W. F. (1994). The Sharpe ratio. The journal of portfolio management, 21(1), 49-58.
- Sloyer, M., Tolkin, R. (2008). The vix as a fix: Equity volatility as a lifelong investment enhancer. Duke University, North Carolina.
- SSGA. (2016). Worried about equity volatility? Tech. Rep. ID4147-INST-5644 0115, State Street Global Advisor.
- Whaley, R. E. (2008). Understanding vix. Retrieved from (SSRN 1296743)