testing for martingale difference hypothesis with structural breaks: evidence from asia–pacific foreign exchange markets

Clicks: 188
ID: 160897
2016
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #39 of 48 articles by views in Acta biomaterialia

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
This study tests for martingale difference hypothesis (MDH) in nine selected Foreign Exchange (FX) markets from Asia–Pacific countries. Its main contributions to the literature include: (i) it adopts recent techniques in both the Autocorrelation based and Spectrum based tests for MDH, namely; the Wild Bootstrap Automatic Variance Ratio test by Kim (2009) and the Wild Bootstrap Generalized Spectral test by Escanciano and Velasco (2006); (ii) it determines structural breaks endogenously for all the returns series using Perron (2006) unit root test with structural break, and (iii) based on the Perron results, it obtains two sub-samples and thereafter tests for MDH. Empirical result from this study shows that FX market efficiency could be inconsistent over time due to changes in policies and events. Thus, a preliminary test for the presence significant structural break may be necessary when testing for MDH.
Reference Key
salisu2016borsatesting Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Afees A. Salisu;Tirimisiyu F. Oloko;Oluwatomisin J. Oyewole
Journal Acta biomaterialia
Year 2016
DOI
10.1016/j.bir.2016.09.001
URL
Keywords

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.