Economy – Quantitative Finance – Statistical Finance
Scientific paper
2009-07-03
Phys. Rev. E 80, 057102 (2009)
Economy
Quantitative Finance
Statistical Finance
Scientific paper
10.1103/PhysRevE.80.057102
We demonstrate that the gain/loss asymmetry observed for stock indices vanishes if the temporal dependence structure is destroyed by scrambling the time series. We also show that an artificial index constructed by a simple average of a number of individual stocks display gain/loss asymmetry - this allows us to explicitly analyze the dependence between the index constituents. We consider mutual information and correlation based measures and show that the stock returns indeed have a higher degree of dependence in times of market downturns than upturns.
Lins Jeffrey Todd
Siven Johannes Vitalis
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