Título:

A Markov-Switching VSTOXX Trading Algorithm for Enhancing EUR Stock Portfolio Performance

2021

2021

Autor (es):

De la Torre-Torres O. V., Galeana-Figueroa, E., Álvarez-García, J.

Revista:

Mathematics

Volumen:

9

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​Número:

9

DOI/URL:

Páginas:

1-28

Palabras clave:

 Markov-Switching GARCH; volatility futures; VSTOXX; volatility hedging; active portfolio management; algorithmic trading; VSTOXX futures trading; active stock trading

Resumen:

In the present paper, we test the benefit of using Markov-Switching models and volatility futures diversification in a Euro-based stock portfolio. With weekly data of the Eurostoxx 50 (ESTOXX50) stock index, we forecasted the smoothed regime-specific probabilities at T + 1 and used them as the weighting method of a diversified portfolio in ESTOXX50 and ESTOSS50 volatility index (VSTOXX) futures. With the estimated smoothed probabilities from 9 July 2009 to 29 September 2020, we simulated the performance of three theoretical investors who paid different trading costs and invested in ESTOXX50 during calm periods (low volatility regime) or VSTOXX futures and the three-month German treasury bills in distressed or highly distressed periods (high and extreme volatility regimes). Our results suggest that diversification benefits hold in the short-term, but if a given investor manages a two-asset portfolio with ESTOXX50 and our simulated portfolios, the stock portfolio’s performance is enhanced significantly, in the long term, with the presence of trading costs. These results are of use to practitioners for algorithmic and active trading applications in ESTOXX50 ETFs and VSTOXX futures.