A Volatility Based Contrarian Strategy In the German Stock Market
(2013) NEKH01 20122Department of Economics
- Abstract (Swedish)
- In this paper we investigate if the German implied volatility index, VDAX, could be used as a good sentiment indicator for a contrarian strategy. For such a strategy to be legitimate there must exist price inefficiencies in the market, which requires that the efficient market hypothesis does not hold. We compare broader index-based contrarian strategies with a buy and hold strategy in the German stock index DAX from 1992-2012. The results shows that the contrarian strategy performs better in bearish periods but that it does not outperform the buy and hold strategy in the overall sample period.
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/3469893
- author
- Bastholm, Sofie LU and Rindeskär, Magnus LU
- supervisor
-
- Bujar Huskaj LU
- organization
- course
- NEKH01 20122
- year
- 2013
- type
- M2 - Bachelor Degree
- subject
- keywords
- DAX, VDAX, Implied volatility, Contrarian strategy, The efficient market hypothesis, Behavioral finance, Market timing
- language
- English
- id
- 3469893
- date added to LUP
- 2013-03-05 10:56:44
- date last changed
- 2013-03-05 10:56:44
@misc{3469893, abstract = {{In this paper we investigate if the German implied volatility index, VDAX, could be used as a good sentiment indicator for a contrarian strategy. For such a strategy to be legitimate there must exist price inefficiencies in the market, which requires that the efficient market hypothesis does not hold. We compare broader index-based contrarian strategies with a buy and hold strategy in the German stock index DAX from 1992-2012. The results shows that the contrarian strategy performs better in bearish periods but that it does not outperform the buy and hold strategy in the overall sample period.}}, author = {{Bastholm, Sofie and Rindeskär, Magnus}}, language = {{eng}}, note = {{Student Paper}}, title = {{A Volatility Based Contrarian Strategy In the German Stock Market}}, year = {{2013}}, }