scholarly journals Nonlinearities and Chaos: A New Analysis of CEE Stock Markets

Mathematics ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 707
Author(s):  
Claudiu Tiberiu Albulescu ◽  
Aviral Kumar Tiwari ◽  
Phouphet Kyophilavong

After a long transition period, the Central and Eastern European (CEE) capital markets have consolidated their place in the financial systems. However, little is known about the price behavior and efficiency of these markets. In this context, using a battery of tests for nonlinear and chaotic behavior, we look for the presence of nonlinearities and chaos in five CEE stock markets. We document, in general, the presence of nonlinearities and chaos which questions the efficient market hypothesis. However, if all tests highlight a chaotic behavior for the analyzed index returns, there are noteworthy differences between the analyzed stock markets underlined by nonlinearity tests, which question, thus, their level of significance. Moreover, the results of nonlinearity tests partially contrast the previous findings reported in the literature on the same group of stock markets, showing, thus, a change in their recent behavior, compared with the 1990s.

Author(s):  
Athina Bougioukou

The intention of this research is to investigate the aspect of non-linearity and chaotic behavior of the Cyprus stock market. For this purpose, we use non-linearity and chaos theory. We perform BDS, Hinich-Bispectral tests and compute Lyapunov exponent of the Cyprus General index. The results show that existence of non-linear dependence and chaotic features as the maximum Lyapunov exponent was found to be positive. This study is important because chaos and efficient market hypothesis are mutually exclusive aspects. The efficient market hypothesis which requires returns to be independent and identically distributed (i.i.d.) cannot be accepted.


Author(s):  
Hakan Altin

This study has two important findings firstly, the theoretical results related to the efficient market hypothesis; and secondly, the results of application. The theoretical results show that if the market price of an asset includes all the information that influences its price, then that market is an efficient market. According to the efficient market hypothesis, investors cannot earn gains above the market return. Since stock share prices are unpredictable, it is assumed that when the information that the market had already been expecting is finally announced, the stock share prices will not change. That is because this announcement does not contain any information that can change the prices. The results obtained from the application show that the existence of abnormal return is valid for Islamic Stock Markets. Therefore, the findings mediate against the efficient market hypothesis. However, when the size of abnormal returns is observed, the results are almost equal to market returns. This finding supports the efficient market hypothesis. Islamic stock markets are integrated with the world at least as much as the non-Islamic global markets are. Islamic stock markets act together with the non-Islamic global markets. The risks and returns that the Islamic and non-Islamic stock markets provide to the investors are very close to each other. In conclusion, the efficient market hypothesis maintains its explanatory power for both Islamic stock markets and non-Islamic global stock markets. Islamic markets offer new investment opportunities on a global scale.


2019 ◽  
Vol 12 (2) ◽  
pp. 97 ◽  
Author(s):  
Qianwei Ying ◽  
Tahir Yousaf ◽  
Qurat ul Ain ◽  
Yasmeen Akhtar ◽  
Muhammad Shahid Rasheed

The expansion of investment strategies and capital markets is altering the significance and empirical rationality of the Efficient Market Hypothesis. The vitality of capital markets is essential for efficiency research. The authors explore here the development and contemporary status of the efficient market hypothesis by emphasizing anomaly/excess returns. Investors often fail to get excess returns; however, thus far, market anomalies have been witnessed and stock prices have diverged from their intrinsic value. This paper presents an analysis of anomaly returns in the presence of the theory of the efficient market. Moreover, the market efficiency progression is reviewed and its present status is explored. Finally, the authors provide enough evidence of a data snooping issue, which violates and challenges the existing proof and creates room for replication studies in modern finance.


2020 ◽  
Author(s):  
James L. Luo

This article constructs a brand new approach to the prediction of capital markets in the perspective of Volume Spectrum Analysis (VSA). Unlike all traditional financial theories, the model of VSA features volume rather than price and focuses on its inner structure, i.e. the distribution of lot sizes that reveals asymmetric information in trading, which rejects the assumption of perfect information in Efficient Market Hypothesis (EMH) and makes the validity test possible. The flaw of modern finance, that is, taking the normality of price changes for granted, and those of other solutions such as game theory, are investigated to show why it is only VSA that may capture the essence of human action in capital markets.


2021 ◽  
Vol 19 (1) ◽  
pp. 1-23
Author(s):  
Vinicius Ratton Brandi

The efficient market hypothesis is one of the most popular subjects in the empirical finance literature. Previous studies of the stock markets, which are mostly based on fixed-time price variations, have inconclusive findings: evidence of short-term predictability varies according to different samples and methodologies. We propose a novel approach and use drawdowns and drawups as triggers, to investigate the existence of short-term abnormal returns in the stock markets. As these measures are not computed within a fixed time horizon, they are flexible enough to capture subordinate, time-dependent processes that could drive market under- or overreaction. Most estimates in our results support the efficient market hypothesis. The underreaction hypothesis receives stronger support than does overreaction, with higher prevalence of return continuations than reversals. Evidence for the uncertain information hypothesis is present in some markets, mainly after lower-magnitude events.


2021 ◽  
Vol 93 (2) ◽  
pp. 89-101
Author(s):  
Marcin Fuksiewicz

The efficient market hypothesis is commonly tested mainly with regard to capital markets, but it has also been applied to currency and commodity markets. Although the theory has been used to confirm that different markets vary in their effectiveness, certain cyclical anomalies can be observed in these markets. Particularly noteworthy are calendar anomalies, which can be used to develop investment methods and procedures. In addition to commonly known anomalies, such as the January or the December Effect, or short-term ones, like the Friday or Monday Effect, there are many others that are largely unknown in Poland, such as those related to the Presidential Election Cycle in the USA or very short-lived ones, associated with individual hours of investing in a trading session. The aim of the article is to present a possibly complete list of calendar anomalies recognized in foreign capital markets, but largely unknown in Poland, such as short-lived anomalies and exotic ones (e.g. related to phases of the moon).


2016 ◽  
Vol 8 (3) ◽  
pp. 166-179 ◽  
Author(s):  
Raj S. Dhankar ◽  
Devesh Shankar

Purpose The purpose of this paper is to discuss the relevance and evolution of adaptive markets hypothesis (AMH) that has gained traction in the recent years, as it provides a dynamic perspective to the concept of informational efficiency. Design/methodology/approach This paper discusses several issues related to the concept of informationally efficient markets that have indicated efficient market hypothesis to be an incomplete portrayal of stock market behavior. Findings The authors find that a strict and perpetual adherence to informational efficiency is highly unlikely, and AMH provides a much more plausible description of the behavior of stock markets. Originality/value The authors provide a description of studies that examine the testable implications of AMH.


2020 ◽  
Vol 540 ◽  
pp. 123082 ◽  
Author(s):  
M.A. Sánchez-Granero ◽  
K.A. Balladares ◽  
J.P. Ramos-Requena ◽  
J.E. Trinidad-Segovia

2001 ◽  
Vol 40 (4II) ◽  
pp. 651-674 ◽  
Author(s):  
Salman Syed Ali ◽  
Khalid Mustafa

The efficient market hypothesis suggests that stock markets are “informationally efficient”. That is, any new information relevant to the market is spontaneously reflected in the stock prices. A consequence of this hypothesis is that past prices cannot have any predictive power for future prices once the current prices have been used as an explanatory variable. In other words the change in future prices depends only on arrival of new information that was unpredictable today hence it is based on surprise information. Another consequence of this hypothesis is that arbitrage opportunities are wiped out instantaneously. Empirical tests of the efficient market hypothesis actually test for these consequences in various ways. Some of them have been summarised in earlier chapters. These tests generally could not conclusively accept the random-walk hypothesis of stock returns even when GARCH effects were accounted for. Many studies have found empirical regularities that are contrary to the efficient market hypothesis. For example, the monthly, weekly and daily returns on stocks tend to exhibit discernable patterns, such as seasonal affects, month of the year affect, day of the week affect, hourly affect etc. In case of Pakistan’s stock markets too such affects are identified. Such as the Ramadan affect [see Hussain and Uppal (1999)], seasonal effects and day of the week affect. Further, the wide spread use of “technical analysis” among stock traders and their ability to predict to some extent the direction of movements in the prices of individual stocks over medium term testifies to the existence of patterns and seasonal trends.


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