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International Stock Return Predictability: Evidence from New Statistical Tests

Abstract : We investigate whether stock returns of international markets are predictable from a range of fundamentals including key financial ratios (dividend-price ratio, dividend-yield, earnings-price ratio, dividend-payout ratio), technical indicators (price pressure , change in volume), and short-term interest rates. We adopt two new alternative testing and estimation methods: the improved augmented regression method and wild bootstrapping of predictive model based on a restricted VAR form. Both
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Submitted on : Monday, October 30, 2017 - 12:12:49 PM
Last modification on : Friday, August 5, 2022 - 2:54:51 PM
Long-term archiving on: : Wednesday, January 31, 2018 - 12:39:38 PM


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  • HAL Id : hal-01626101, version 1


Amélie Charles, Olivier Darné, Jae H Kim. International Stock Return Predictability: Evidence from New Statistical Tests. International Review of Financial Analysis, Elsevier, 2017, 54, pp.97-113. ⟨hal-01626101⟩



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