2014
DOI: 10.1016/j.econmod.2014.07.005
|View full text |Cite
|
Sign up to set email alerts
|

New evidence from the random walk hypothesis for BRICS stock indices: a wavelet unit root test approach

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

1
23
0
1

Year Published

2017
2017
2023
2023

Publication Types

Select...
7

Relationship

0
7

Authors

Journals

citations
Cited by 39 publications
(26 citation statements)
references
References 13 publications
1
23
0
1
Order By: Relevance
“…The findings revealed a negative impact of the crises on most of the markets' efficiency, however; the crisis affected the stock market of Hong Kong the most. Tiwari and Kyophilavong (2014) examined the BRICS stock indices for testing the random walk hypothesis. The findings provided sufficient evidence that rejected the null hypothesis of a sample having unit root for entire BRICS countries except for Russian Federation thus providing evidence for the predictable nature of equity markets in these countries.…”
mentioning
confidence: 99%
“…The findings revealed a negative impact of the crises on most of the markets' efficiency, however; the crisis affected the stock market of Hong Kong the most. Tiwari and Kyophilavong (2014) examined the BRICS stock indices for testing the random walk hypothesis. The findings provided sufficient evidence that rejected the null hypothesis of a sample having unit root for entire BRICS countries except for Russian Federation thus providing evidence for the predictable nature of equity markets in these countries.…”
mentioning
confidence: 99%
“…Numerous articles have examined the efficiency of the world's stock markets. The empirical evidence reports mixed results, either finding evidence to reject the RWH (Summers 1986;Lo and MacKinlay, 1988;Ayadi and Pyun (1994); Urrutia (1995); Grieb and Reyes (1999); and Karemera et al (1999); Darrat and Zhong, 2000;Narayan, 2008;Hasanov, 2009;Tiwari and Kyophilavong, 2014) or to conclude that stock price behaviour agrees with the efficient market hypothesis (Shiller 1989;Tabak 2003;Narayan 2005;Narayan and Smyth 2005;Qian et al 2008;Alexeev and Tapon 2011;Gozbasi et al 2014). Of the referenced studies, Poterba and Summers (1988) argue that there is limited theoretical ground supporting the null hypothesis that stock prices follow a random walk.…”
Section: Related Literature and Hypothesis Developmentmentioning
confidence: 99%
“…How efficient are the world's stock markets? This question has continued to elicit the interest of researchers ever since the work of Samuelson (1965) and the persuasive treatise of Fama (1965Fama ( , 1970Fama ( , 1991; see, for example, Lo and MacKinlay (1988); Poterba and Summers (1988); Shiller (1989); Urrutia (1995); Kavussanos and Dockery (2001); Al-Khazali et al (2007); Kim and Shamsuddin (2008); Wang et al (2009); Borges (2010); Rejichi and Aloui (2012); Sensoy (2013); Gozbasi et al (2014); Tiwari and Kyophilavong (2014); Metghalchi et al (2015), Anagnostidis et al (2016), and Seetharam et al (2017). Fama's (1991) narrative on the categories of market efficiency has triggered a considerable amount of empirical research that seeks to determine whether developed and nascent capital markets reveal themselves to be specifically weak-form or semi-strong-form efficient capital markets; for a discussion, see Lim and Brooks (2011).…”
Section: Introductionmentioning
confidence: 99%
“…One of the most common approaches is to test for a unit root in stock prices (Tiwari and Kyophilavong, 2014). If stock prices contain a unit root, this implies that the random walk hypothesis is accepted.…”
Section: Asian Economic and Financial Reviewmentioning
confidence: 99%
“…The traditional unit root tests, such as the Augmented Dickey Fuller (ADF), the Phillips and Perron (1988) or the Kwiatkowski et al (1992) tests, were widely used in the literature to test for the EMH (Maghyereh, 2003;Marasheh and Shrestha, 2008;Al-Jafari and Altaee, 2011;Salameh et al, 2011;Al-Ahmad, 2012;Al-Jafari and Abdulkadhim, 2012;Saeedi et al, 2014;Tiwari and Kyophilavong, 2014). But, a limitation of these tests is that they fail to account for an existing break in the data, which could be resulted from any significant economic, financial, or political events.…”
Section: Asian Economic and Financial Reviewmentioning
confidence: 99%