Nonlinear predictability of stock market returns: Evidence from nonparametric and threshold models
By D. McMillan. 2001
110 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
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
In Finance
Citations in the corpus
- Non‐linear Predictability of UK Stock Market Returns* (2003, methodology): “…(2000) who use neural network methods to examine the predictability of international stock returns, Perez-Quiros and Timmermann (2000) who employ a Markov switching model to predict returns in large and small US firms, and McMillan (2001) who examines threshold predictability of US index returns.”