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Atlantic Review of Economics
Article . 2011
Data sources: DOAJ
EconStor
Article . 2011
Data sources: EconStor
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Hedge Ratios for short and leveraged ETFs

Authors: Schubert, Leo;

Hedge Ratios for short and leveraged ETFs

Abstract

Exchange Traded Funds (ETFs) exist for stock-, bond- and commodity markets. In most cases the underlying of an ETF is an index. Fund management today uses the active and passive way to construct a portfolio. ETFs can be used for passive portfolio management. Then ETFs with positive leverage factors are preferred. In the frame of active portfolio also the ETFs with negative leverage factors can be applied for the hedge or cross hedge of a portfolio. These hedging possibilities will be analyzed in this paper. Short ETFs exist with different leverage factors. In Europe, the leverage factors 1 (e.g. ShortDAX ETF) and 2 (e.g. DJ STOXX 600 Double Short) are offered while in the financial markets of the United States factors from 1 to 4 can be found. To investigate the effect of the different leverage factors and other parameters Monte Carlo Simulation was used. The results show e.g. that higher leverage factors achieve higher profits as well as losses. In the case, that a bearish market is supposed, minimizing the variance of the hedge seem not to be until to get better hedging results, due to a very skewed return distribution of the hedge. The risk measure target-shortfall-probability confirms the use of the standard hedge weightings which depend only on the leverage factor. This characteristic remains, when a portfolio has to be hedged instead of the underlying index of the short ETF. For portfolios which have a low correlation with the index return should not be used high leverage factors for hedging, due to the higher volatility and target-shortfall-probability.

Keywords

cross hedge, G24, Hedging, insurance and immunization of portfolios, lio Optimization, target-shortfall probability, portfolio optimization, Target-Shortfall-Probability, HB1-3840, short leveraged exchange-traded funds (ETFs), Economic theory. Demography, G32, G11, C15, Cross Hedge, hedging, short leveraged Exchange Traded Funds (ETFs), Monte Carlo simulation, Portfolio-Management, ddc:330, Exchange Traded Fund, Monte Carlo Simulation, Insurance and Immunization of portfolios, mean-variance, Mean–Variance

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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