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The purpose of this paper is to examine the influence of major non-economic events, such as the announcement of Greek national parliamentary elections during the period 2000-2009, and search for stock manipulation and methods to detect and recover ill gotten assets. The Financial Sector in Greece is one of the most important and fast growing sectors during recent years and accounts to about 16.17-17.74 per cent of gross domestic product. The ten largest Greek banks listed in the Athens Stock Exchange, accounted to 38.34 per cent of the whole capitalisation of the Athens Stock Exchange during year end 2009.

By using event study methodology and Market Model and analyzing data of all Greek bank stocks prices listed in Athens Stock Exchange, before and after the announcement of four Greek national parliamentary elections during period 2000-2009, we find interesting results about stock market manipulation.

Using daily data from the Athens Stock Exchange, the results of this paper claim that the four Greek national parliamentary elections during the period 2000-2009, had no statistically significant effect on the Greek banks stocks. The results show that Cumulative Average Abnormal Returns (CAARs) were slightly positive or negative for Greek banks’ stocks, but not statistically significant in 5 and 10 per cent confidence levels. Results show no manipulation effect in banks’ stocks even if single-party governments in Greece caused elections early, sudden or even opportunistic timing, having an incentive to attempt to manipulate stocks to increase their chances of re-election.

Results show that CAARs were slightly positive or negative for Greek banks stocks, but not statistically significant in 5 and 10 per cent confidence levels, but when illicit funds or assets have been acquired from stock manipulation, as small as can be, then one fact remains constant. Proceeds from illicit activities must be disguised in some way to avoid being discovered and then being recovered. Especially, during current the financial crisis, debt crisis and the extraordinary liquidity support measures taken by the European Central Bank (ECB), International Monetary Fund (IMF) and European Commission to support Greek economy, using methods to detect and recover ill gotten assets are extremely important. Indirect methods such as net worth analysis, bank deposit analysis, expenditure method or sources and application of funds analysis, to detect ill gotten assets, and then when ill gotten income and assets from bank stock manipulation are found, a restraining order or court order will help to recovery assets by freezing and finally confiscating them by two types of forfeiture – criminal and civil forfeitures. Establishing a code of conduct informing employees of the risks and consequences of insider trading, creating a culture of honesty and high ethics and implementing Controlled Foreign Corporation legislation to cope with off-shore companies trading, can help to recover ill gotten assets.

The paper examines if there is banks stocks manipulation around announcement of Greek national parliamentary elections during the period 2000-2009; suggesting methods to detect and recover ill gotten assets and improving the current position of the Greek economy. Findings offer important positive implications for investors, political analysts and society as a whole, as Greek banks stocks show that they are not subject to political risk and manipulation and that there are methods to detect and recover ill gotten assets. A stable bank sector is prerequisite for economy growth.

Outlines research on the factors which reduce stock market efficiency and the particular characteristics of the Athens stock exchange (Greece). Uses 1988‐1994 Greek monthly returns data for share actively traded during the period to test for random walk behaviour in share prices. Explains the methodology, which is based on Lo and Mckinlay’s (1988) variance ratio test procedure and Robinson’s (1991) test for fractional integration; and presents the results which support the random walk hypothesis, i.e. suggest weak‐form efficiency. Notes inconsistency with some previous research on the Athens stock exchange and other emerging stock markets, but consistent with the idea that recent institutional changes have succeeded in increasing efficiency.

This paper explores some institutional aspects of the Athens Stock Exchange (ASE) and investigates the time‐series properties of three major ASE stock indices. The results depict that future returns on these indices are difficult to predict. However, volatility in these indices can be predictable using the GARCH models. Various models for predicting volatility patterns are presented.

This paper investigates the issue of whether financial market liberalization announcements in emerging economies have had any effects on the efficient operation of their equity markets. The issue is empirically examined in the case of Greece, and its emerging stock market, the Athens Stock Exchange (ASE). The sequence of tests conducted, ranging from tests of structural change to several efficiency tests, suggest that the Greek equity market was weak‐form efficient before these announcements were made. Hence, the ASE was operating as a random walk hinting that investors could not engage in systematically profitable ventures because future long‐term returns were independent of past returns. In other words, foreign and local investors guided their strategies based on the fundamentals and not on speculative grounds.

The purpose of this paper is to examine the hypothesis of feedback trading along with the short-term return dynamics of three size-based stock portfolios of Athens Stock Exchange during the Greek debt crisis period.

To this end, the authors employ for the first time in the literature two well-known models while the variance equation is modeled by means of a multivariate EGARCH specification. As a robustness test an innovative nested-EGARCH model is also employed.

The assumption that positive feedback trading is an important component of the short-term return movements across the three stock portfolios receives significant support. Moreover, the volatility interdependence, both in magnitude and sign, is almost similar across the three models. Finally, bad news originating from the portfolio of small stock appears to have a higher impact on the volatility of large and medium size stock returns than good news during the Greek debt crisis period.

The methodology is innovative and the authors test for the first time the feedback trading hypothesis across different size stocks. The authors believe that the results might entail significant policy implications for investors and market regulators.

The aim of this paper is to detect whether there are companies listed in the general index of Athens Stock Exchange Market that possibly conduct earnings manipulation during 2017–2018.

The paper is based upon the Beneish model (M-score), which consists of eight variables to examine the probability of financial statement fraud related to earnings manipulation for 40 companies listed in the Athens Stock Exchange Market. Any company with an M-score −2.22 or above is likely to be a manipulator whereas any company that scores −2.22 or less is unlikely to conduct earnings manipulation.

After calculating the M-score for each company, it was found that 33 (out of 40) companies had M-score values lower than −2.22. Therefore, 82.5% of the sample is considered rather unlikely to conduct earnings manipulation whereas 17.5% of the companies listed in the general index of Athens Stock Exchange Market is likely to manipulate its earnings.

In this paper, all institutions related to financial services were left out of the sample because of the fact that M-score cannot provide reliable results when applied on similar companies.

Beneish model offers a probability of financial fraud and can be therefore used as a supplementary test for auditors, fraud examiners or even national regulators such as the Hellenic Accounting and Auditing Standards Oversight Board or the Hellenic Capital Market Commission. The results of this paper can contribute to the literature concerning financial fraud in Greece during 2017–2018 because no relevant recent researches have been published yet.

The purpose of this paper is to examine the relationship between beta and returns in the Athens stock exchange (ASE), taking into account the difference between positive and negative market excess returns' yields.

The data were taken from DataStream database and the sample period consists of 12 years divided into four six‐year periods such that the test periods do not overlap. Regression analysis is applied, using both the traditional (unconditional) test procedure and the conditional approach.

The estimation of return and beta without differentiating positive and negative market excess returns produces a flat unconditional relationship between return and beta. However, when using the conditional capital asset pricing model (CAPM) and cross‐sectional regression analysis, the evidence tends to support the significant positive relationship in up market and a significant negative relationship in down market.

The small number of listed companies in the ASE led to the inclusion of the financial and insurance companies in the sample, and to the formation of a small number of portfolios. The same research methodology could be applied to individual stocks of the ASE and with the exclusion of all financial companies.

The results tend to support the existence of a conditional CAPM relation between risk and realized return trade‐off.

This study aims to investigate the existence of herding in the Athens Stock Exchange over the 1995-2010 period and examine its effects on market volatility.

Herding is examined over portfolios formed on beta and size of the selected stocks. The detection of herding has been done using the state space model of Hwang and Salmon (2004). Four volatility measures are employed.

The findings depict the presence of herding over two different periods of time. Large differences are observed among the portfolios regarding the herding periods. The results confirm a linear effect of herding on all volatility measures considered. Stocks exhibiting higher levels of herding or adverse herding will also present higher volatility, and from this point of view, herding can be regarded as an additional risk factor.

The fact that herding is considered to be an additional risk factor, can lead market participants and investors to a better understanding of market risk, asset pricing and asset allocation.

The purpose of this paper is to investigate the reaction of the London Stock Exchange to the announcement of the city hosting 2012 Summer Olympic Games. The expectations of the Olympic Games are the anticipation of massive economic boosts to the host cities. These expectations are presumed to be translated into positive stock price returns. This research examines the London Stock Exchange industrial indices reactions to this announcement in July 2005.

In order to evaluate the returns the paper employs simple conventional OLS methodology technique, event study methodology and GARCH models with appropriate dummy variables.

The empirical results indicate a very limited number of significant indices impacted by such an announcement. A consistent finding to all the alternative estimations is that the oil and gas industry seem to be negatively affected by the Olympic Games announcement.

Findings are strongly recommended to practitioners, financial investors and portfolio managers dealing with British Stocks.

The contribution of this paper is that findings are in contrast to relevant studies, like Athens' Olympic Games, since enthusiasm is diminished.

The purpose of this paper is to investigate the response of investors to the announcements on the inclusion and exclusion of companies from the FTSE-ASE 20 index.

Data on the inclusion and exclusion of companies from the FTSE-ASE 20 index in the period 2000-2012 were used. The authors performed an event study analysis using a constant return model and a market model. Two different measures of aggregated abnormal returns, namely the cumulating abnormal returns and the buy-and-hold abnormal return, were used in this investigation.

The results suggest that the exclusion of a company from the index has a significant negative effect on stock returns. Specifically, such a stock takes more than 15 days to recover. However, for a company’s inclusion in the index, the authors observe short-lived positive reactions on stock returns.

Capital market regulators and investors should find the policy implications of this paper meaningful. Investment strategies can be implemented on the basis of the news of exclusion from the index, which can lead to higher performance for investors. As far as authorities are concerned, the decision of inclusion and exclusion to the most significant stock index in the Greek market should be carefully considered because it creates financial instability for a significant time period.

By using a battery of parametric and non-parametric econometric tests, the existence of abnormal returns of the FTSE-ASE 20 index is explored over a long time period, including the recent financial crisis.