scholarly journals Hedge fund return predictability in the presence of model risk*

2022 ◽  
pp. 1-25
Author(s):  
Christos Argyropoulos ◽  
Ekaterini Panopoulou ◽  
Nikolaos Voukelatos ◽  
Teng Zheng
2019 ◽  
Author(s):  
Christos Argyropoulos ◽  
Ekaterini Panopoulou ◽  
Nikolaos Voukelatos ◽  
Teng Zheng

2012 ◽  
Author(s):  
Doron Avramov ◽  
Laurent Barras ◽  
Robert Kosowski

2006 ◽  
Vol 9 (3) ◽  
pp. 68-79 ◽  
Author(s):  
Olfa Hamza ◽  
Maher Kooli ◽  
Mathieu Roberge

CFA Digest ◽  
2007 ◽  
Vol 37 (2) ◽  
pp. 5-7
Author(s):  
Kathryn Dixon Jost

2013 ◽  
Vol 48 (4) ◽  
pp. 1057-1083 ◽  
Author(s):  
Doron Avramov ◽  
Laurent Barras ◽  
Robert Kosowski

AbstractThis paper develops a unified approach to comprehensively analyze individual hedge fund return predictability, both in and out of sample. In sample, we find that variation in hedge fund performance across changing market conditions is widespread and economically significant. The predictability pattern is consistent with economic rationale, and largely reflects differences in key hedge fund characteristics, such as leverage or capacity constraints. Out of sample, we show that a simple strategy that combines the funds’ return forecasts obtained from individual predictors delivers superior performance. We exploit this simplicity to highlight the drivers of this performance, and find that in- and out-of-sample predictability are closely related.


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