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The SEC has proposed several rules and rule amendments that, if adopted, would impact market structure of the equities markets for years to come. This article summarizes those proposed changes and describes some of the early reaction to them by both industry and regulators. Regulation NMS, as the rule proposals are collectively called, is intended to accomplish three primary objectives: (1) to promote equal regulation of market centers, (2) to update antiquated rules, and (3) to promote greater order interaction and displayed depth. Regulation NMS, which is intended to “advance the dialogue” on market structure issues, consists of rule proposals in four substantive areas. First, the SEC has proposed a uniform trade‐through rule for all national market system (“NMS”) market centers that would affirm the principle of price priority while addressing the differences between automated and manual markets. Second, the SEC has proposed a uniform market access rule with a de minimis fee standard intended to assure non‐discriminatory access to the best prices displayed by NMS market centers without mandating hard linkages such as the Intermarket Trading System (“ITS”).

The purpose of this paper is to establish customers’ markets and rules of dynamic customer relationship management (CRM) systems for online retailers.

This research proposes a procedure to discover customers’ markets and rules, which adopts the recency, frequency, monetary value (RFM) variables, transaction records, and socioeconomic data of the online shoppers to be the research variables. The research methods aim at the supervised apriori algorithm, C5.0 decision tree algorithm, and RFM model.

This research discovered eight RFM markets and six rules of online retailers.

The proposed framework and research results can help retailer managers to retain and expand high value markets via their dynamic CRM and POS systems.

This research uses data mining technologies to extract high value markets and rules for marketing plans. The research variables are easy to obtain via retailers’ systems. The found customer values, RFM markets, shopping association rules, and marketing decision rules can be discovered via the framework of this research.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

After the precipitated decline of the Soviet Empire and its satellite states, a system change seemed to be called for, and many countries embarked on social and political reforms focussing on property structures in the economy. This raised the issue of governance in the institutions that would constitute the structures in which production would have to take place. In particular, some Central European countries opted for mass privatisations of the means of production, on the face of it so as to have the people participate in the wealth of the nation. In fact, the wealth of the nation depends on the structures in which it is constituted. Dissipation of property rights will reduce the value of the nation's productive capital, whereas an intelligent structure that creates good governance structures at the same time, increases the value of the producing capital. This relatively simple insight lies at the heart of our understanding of how to analyse different processes of mass privatisation. This essay develops a theoretical framework by which different governance structures can be analysed. The framework consists of a blend of the economic theory of property rights, new institutional economics and Austrian economic theory.

This paper tests two moving average technical trading rules for four Asian markets. Our results indicate that moving average rules do indeed have predictive power and can discern recurring price patterns for profitable trading. Moreover, our results support the hypothesis that technical trading rules can outperform the buy‐and‐hold strategy. Break‐even one‐way trading costs are estimated to be high for all four markets. To confirm the test outcome, robust tests based on bootstrap and the related t‐tests among the markets are also carried out. We conclude from the statistical results that moving average rules are valid and indeed have predictive power. It is implied that the trading rules may be used to design a trading strategy that will beat the buy‐and‐hold strategy in the Hong Kong, Singapore, South Korea, and Taiwan markets. The contribution of the current study is that this is the first validation test of trading rules using four markets at a similar development stage and culture tradition; and in the tests, we use most current and longer periods than the periods used in previous literature. Our robust tests are unique and considered distribution‐free.

This study aims to provide preliminary information to the investor by determining which indices co-movement, with the data mining method.

In this context, data sets containing daily opening and closing prices between 2001 and 2019 have been created for 11 stock market indexes in the world. The association rule algorithm, one of the data mining techniques, is used in the analysis of the data.

It is observed that the US stock market indices take part in the highest confidence levels between association rules. The XU100 stock index co-movement with both the European stock market indices and the US stock indices. In addition, the Hang Seng Index (HSI) (Hong Kong) takes part in the association rules of all stock market indices.

The important issue for data sets is that the opening/closing values of the same day or the previous day are taken into account according to the open or closed status of other stock market indices by taking the opening time of the stock exchange index to be created. Therefore, data sets are arranged for each stock market index, separately. As a result of this data set arranging process, it is possible to find out co-movements of the stock market indexes. It is proof that the world stock indices have co-movement, and this continues as a cycle.

The purpose of this paper is to empirically test information asymmetry and agency conflicts hypotheses, as to firm's choices in selling preferred stock in public and private markets.

Using firm‐level preferred stock issue data, the author uses a multivariate logistic model to see a firm's different preferred stock selling decisions among public market, rule 144A market, and non rule 144A market. The paper examines the impact of the firm's idiosyncratic risk and cash flow volatility.

It is found that private placement (non rule 144A) firms have higher information asymmetry than public offering firms. In addition, private placement (rule 144A) firms have higher operating risk than public offering firms. The non Rule 144A market and rule 144A market for preferred stocks are significantly different.

This topic can be further studied with more detailed, preferred stock issue data.

The paper extends our understanding of the preferred stock market selling mechanism.

In July 2008 the U.S. Securities and Exchange Commission (SEC) published three proposals relating to the use of credit ratings in its rules and forms. The proposals were designed to address concerns that the misuse of credit ratings may have contributed to the current crisis. The SEC sought market feedback regarding the effect the removal of credit rating references may produce on the markets.

This article examines the use of ratings by various market constituents, analyzes the details of the SEC proposals, and reviews the provided feedback. The main finding is that the majority of the market participants opposed the SEC proposals. Fiduciaries and regulated entities are looking to regulators to offer a common measure of risk, stable, accurate and free of conflict of interests.

The purpose of this qualitative paper is to identify and amplify the voice of those experts who advise practitioners faced with foreign market entry decisions. This paper reports the importance that experts place on the rule of law, a positive ethical climate in host nations and the experts’ knowledge of investment financial performance after five years of the initial foreign market entry.

The sample included 12 experienced expert professional interviewees who spent careers with publicly held multinational corporations, attorneys who advised multinational corporation officers, arbitrators with significant international dispute resolution experience, corporate ethics compliance experts, small global entrepreneurial business owners and an academic specializing in international commercial law and dispute resolution.

The rule of law and ethical climate significantly influence private market entry mode, dispute resolution choices and the likelihood of financial success. Finally, the findings illuminate the importance of the rule of law and a positive ethical climate in private foreign market entry decisions and their managerial and policy implications.

This study lays the foundation for the development of propositions to understand better the significant role of the rule of law in the private foreign investment decision-making process and the financial performance of the foreign investment.

The purpose of this paper is to examine the predictability of nine filter rules and test the validity of the weak form of the efficient market hypothesis for the Qatar Stock Exchange (QSE).

This study adopts the filter rule strategy employed by Fifield et al. (2005), which suggests that a buy signal occurs when a share’s price increases by X percent from the previous price. This strategy recommends that the share is held until its price declines by X percent from the subsequent high price. Any price changes below X percent are ignored. Additionally, using the theory of weak-form efficiency, this paper suggests that, if a stock market is efficient, an investor cannot achieve superior results by using these trading rules. However, if market inefficiencies are present, profitable opportunities may arise. To this end, the daily closing share prices of 44 companies listed on QSE are explored for 2004–2017.

The findings propose that QSE is not weak-form efficient because security prices are predictable. As such, investors who followed filter strategies based on past price information could have made profit. Sectoral analysis findings further suggest that firms in the consumer goods and services, industrial and insurance sectors are most efficiently priced amongst the QSE-traded companies.

The evidence may be plausibly helpful as supporting market participants and academics that suggest that selecting filter strategy is extremely important for determining the overall profitability of the trading strategy.

To the best of my knowledge, this is the first study on Qatar that examines the performance of filter rules relative to a passive investor in the context of trading rules with individual share prices for a new stock market. Furthermore, this study adds to the literature through the empirical finding that technical analysts using filter strategies could generate excess returns relative to the buy-and-hold strategy on new emerging stock markets. This study also suggests the levels of transparency and accounting disclosure are limited, which may help Qatari policy makers understand the QSE context. Therefore, it might lead them to introduce regulatory changes to improve the QSE’s efficiency level.