Testing for the martingale hypothesis in Asian stock prices: evidence from a new joint variance ratio test
Download full text from publisher
References listed on IDEAS
- Ruiz, Esther & Pascual, Lorenzo, 2002. " Bootstrapping Financial Time Series," Journal of Economic Surveys, Wiley Blackwell, vol. 16(3), pages 271-300, July.
- Whang, Yoon-Jae & Kim, Jinho, 2003. "A multiple variance ratio test using subsampling," Economics Letters, Elsevier, vol. 79(2), pages 225-230, May.
- Richardson, Matthew & Smith, Tom, 1991. "Tests of Financial Models in the Presence of Overlapping Observations," Review of Financial Studies, Society for Financial Studies, vol. 4(2), pages 227-254.
- Wright, Jonathan H, 2000.
"Alternative Variance-Ratio Tests Using Ranks and Signs,"
Journal of Business & Economic Statistics,
American Statistical Association, vol. 18(1), pages 1-9, January.
- Tom Doan, "undated". "RATS programs to replicate Wright's Alternative Variance Ratio test results," Statistical Software Components RTZ00168, Boston College Department of Economics.
- Yilmaz, Kamil, 2003. "Martingale Property of Exchange Rates and Central Bank Interventions," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(3), pages 383-395, July.
- Hyun-Jung Ryoo & Graham Smith, 2002. "Korean stock prices under price limits: variance ratio tests of random walks," Applied Financial Economics, Taylor & Francis Journals, vol. 12(8), pages 545-553.
- Pan, Ming-Shiun & Chan, Kam C. & C.W. Fok, Robert, 1997. "Do currency futures prices follow random walks?," Journal of Empirical Finance, Elsevier, vol. 4(1), pages 1-15, January.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- repec:rss:jnljfe:v1i1p3 is not listed on IDEAS
More about this item
KeywordsMartingale hypothesis; Stock Market Efficiency; Variance Ratio Test; Wild bootstrap;
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2004-10-30 (All new papers)
- NEP-ETS-2004-10-30 (Econometric Time Series)
- NEP-FIN-2004-10-30 (Finance)
- NEP-RMG-2004-10-30 (Risk Management)
StatisticsAccess and download statistics
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ecm:ausm04:98. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum) or (Christopher F. Baum). General contact details of provider: http://edirc.repec.org/data/essssea.html .
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.