Tail Event Driven ASset allocation:evidence from equity and mutual funds’ markets

Haerdle, Wolfgang and Lee Kuo Chuen, David and Nasekin, Sergey and Petukhina, Alla (2018) Tail Event Driven ASset allocation:evidence from equity and mutual funds’ markets. Journal of Asset Management, 19 (1). pp. 49-63. ISSN 1470-8272

Full text not available from this repository.


The correlation structure across assets and opposite tail movements are essential to the asset allocation problem, since they determine the level of risk in a position. Correlation alone is not informative on the distributional details of the assets. Recently introduced TEDAS—Tail Event Driven ASset allocation approach determines the dependence between assets at different tail measures. TEDAS uses adaptive Lasso-based quantile regression in order to determine an active set of negative coefficients. Based on these active risk factors, an adjustment for intertemporal correlation is made. In this research, authors aim to develop TEDAS, by introducing three TEDAS modifications differing in allocation weights’ determination: a Cornish–Fisher Value-at-Risk minimization, Markowitz diversification rule or naïve equal weighting. TEDAS strategies significantly outperform other widely used allocation approaches on two asset markets: German equity and Global mutual funds.

Item Type:
Journal Article
Journal or Publication Title:
Journal of Asset Management
Uncontrolled Keywords:
ID Code:
Deposited By:
Deposited On:
22 Jun 2019 08:25
Last Modified:
15 Mar 2022 03:33