Robust econometric inference for stock return predictability
By Alexandros Kostakis, Tassos Magdalinos, Michalis P. Stamatogiannis. 2011
243 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/ea245a3e8a04fe199f72d5a8356879f8530b34ca
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Ji Hyung Lee
- Peter C. B. Phillips
- Yixiao Sun
- Sainan Jin
- Jun Yu
- Liangjun Su
- Tassos Magdalinos
- Donggyu Sul
In Finance
- Ji Hyung Lee
- Peter C. B. Phillips
- Jun Yu
- Tassos Magdalinos
- Yixiao Sun
- Sainan Jin
- Yoosoon Chang
- Qiying Wang
In Management Science and Operations Research
Citations in the corpus
- On LASSO for predictive regression (2018, unknown): “In predictive regressions, Kostakis et al. (2014), Lee (2016) and Phillips and Lee (2013, 2016) provide inferential procedures in the presence of multiple predictors with various degrees of persistence.”
- Short Interest and Aggregate Stock Returns (2016, unknown): “To address these concerns, Kostakis, Magdalinos, and Stamatogiannis (2015) develop a powerful Wald test that is robust to the regressor’s degree of persistence (unit root, local-to-unit root, near stationary, or stationary).”
- Predictive regression under various degrees of persistence and robust long-horizon regression (2013, methodology): “We study long-horizon predictive regressions and propose a novel inference procedure which is based on an extended version of MP and Kostakis et al. (2010).”