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Corporate governance is the practice of balancing various stakeholder interests within the legal device of the chartered business. Recent changes in the competitive capitalism including the Great Recession, now entering its second decade, have called for reforms within the defined corporate system. To sketch a wider picture of corporate governance issues and the debate over time, this paper aims to identify two philosophical traditions, a British and liberal tradition and a continental statist tradition, which have bearings for how the legal device of the corporation is understood.

This conceptual paper combines legal philosophy and legal studies, management studies, economics and economic sociology literatures.

In the former tradition, the firm and its ownership are exclusively associated with irreducibly individual rights. In the latter tradition, property rights remain the core of legal systems, but rather than being an end in itself (as in the liberal tradition), such property rights are merely the starting point for the individual’s wider engagement in social and public affairs. These two traditions enact the firm differently and emphasize specific benefits. In the former tradition, associated with a shareholder primacy model, individual rent-seeking is foregrounded; in the latter tradition, associated with legal and management scholarship, the team production qualities of the firm are emphasized.

This conceptual paper offers an analysis of the roots of differences between Anglo-American and continental corporate governance traditions, a scholarly study that is of great theoretical and practical relevance in the era of the Great Depression.

The purpose of this study is to discover and model the asymmetry in the price volatility of financial markets, in particular the foreign exchange markets as the first underlying applications.

The volatility of the financial market price is usually defined with the standard deviation or variance of the price or price returns. This standard definition of volatility is split into the upper part and the lower one, which are termed here as Yang volatility and Yin volatility. However, the definition of yin‐yang volatility depends on the scale of the time, thus the notion of scale space of price‐time is also introduced.

It turns out that the duality of yin‐yang volatility expresses not only the asymmetry of price volatility, but also the information about the trend. The yin‐yang volatilities in the scale space of price‐time provide a complete representation of the information about the multi‐level trends and asymmetric volatilities. Such a representation is useful for designing strategies in market risk management and technical trading. A trading robot (a complete automated trading system) was developed using yin‐yang volatility, its performance is shown to be non‐trivial. The notion and model of yin‐yang volatility has opened up new possibilities to rewrite the option pricing formulas, the GARCH models, as well as to develop new comprehensive models for foreign exchange markets.

The asymmetry of price volatility and the magnitude of volatility in the scale space of price‐time has yet to be united in a more coherent model.

The new model of yin‐yang volatility and scale space of price‐time provides a new theoretical structure for financial market risk. It is likely to enable a new generation of core technologies for market risk management and technical trading strategies.

This work is original. The new notion and model of yin‐yang volatility in scale space of price‐time has cracked up the core structure of the financial market risk. It is likely to open up new possibilities such as: a new portfolio theory with a new objective function to minimize the sum of the absolute yin‐volatilities of the asset returns, a new option pricing theory using yin‐yang volatility to replace the symmetric volatility, a new GARCH model aiming to model the dynamics of yin‐yang volatility instead of the symmetric volatility, new technical trading strategies as are shown in the paper.

The purpose of this paper is to examine price overreactions in the case of the following cryptocurrencies: bitcoin, litecoin, ripple and dash.

A number of parametric (t-test, ANOVA, regression analysis with dummy variables) and non-parametric (Mann–Whitney U-test) tests confirm the presence of price patterns after overreactions: the next day price changes in both directions are bigger than after “normal” days. A trading robot approach is then used to establish whether these statistical anomalies can be exploited to generate profits.

The results suggest that a strategy based on counter-movements after overreactions is not profitable, whilst one based on inertia appears to be profitable but produces outcomes not statistically different from the random ones. Therefore, the overreactions detected in the cryptocurrency market do not give rise to exploitable profit opportunities (possibly because of transaction costs) and cannot be seen as evidence against the efficient market hypothesis (EMH).

The overreactions detected in the cryptocurrency market do not give rise to exploitable profit opportunities (possibly because of transaction costs) and cannot be seen as evidence against the EMH.

The Norwegian company Trallfa built its first robot for painting over 16 years ago and has been pioneering this application ever since. Now it is about to launch a range of products that heralds its attack on other parts of the robot market.

This paper explores abnormal price changes in the FOREX by using both daily and intraday data on the EURUSD, USDJPY, USDCAD, AUDUSD and EURJPY exchange rates over the period 01.01.2008–31.12.2018.

It applies a dynamic trigger approach to detect abnormal price changes and then various statistical methods, including cumulative abnormal returns analysis, to test the following hypotheses: the intraday behaviour of hourly returns on overreaction days is different from that on normal days (H1), there are detectable patterns in intraday price dynamics on days with abnormal price changes (H2) and on the following days (H3).

The results suggest that there are statistically significant differences between intraday dynamics on days with abnormal price changes and normal days respectively; also, prices tend to change in the direction of the abnormal change during that day, but move in the opposite direction on the following day. Finally, there exist trading strategies that generate abnormal profits by exploiting the detected anomalies, which can be seen as evidence of market inefficiency.

New evidence on abnormal price changes and related trading strategies in the FOREX.

Japan is the world's leading user of industrial robots and its industrial robot association is a most active robot trade association. They publish regular statistics, this article by JIRA's executive director presents the figures and outlines the impact of robots up to the end of 1980.

This study examines the roles of market demand, industry structure, and firm strategy in the development of the robotics industry in the United States and Japan, focusing on differences between the two countries. On the demand side, Japan had a strong market for robots in the automotive and electrical machinery sectors. The U.S. got a slow start in the automotive sector and was unable to move rapidly to other customer sectors. On the supply side, the U.S. robotics industry consisted of mostly small and medium‐sized firms, while the Japanese robotics industry included many large‐diversified firms. Also, many U.S. robotics firms entered the market through acquisitions of and licenses with others, while many Japanese robotics firms moved forward in measured steps rather than attempting to make great leaps. Understanding these differences in market demand, industry structure, and firm strategy can help assess the overall competitiveness and development of the robotics industry in the U.S. and Japan.

The purpose of this paper is to provide some new empirical evidence on the weekend effect (one of the best known anomalies in financial markets) in Ukrainian futures prices. The analysis uses various statistical techniques.

The analysis uses various statistical techniques (average analysis, Student’s t-test, dummy variables, and fractional integration) to test for the presence of this anomaly, and then a trading simulation approach to establish whether it can be exploited to make extra profits.

The statistical evidence points to abnormal positive returns on Fridays, and a trading strategy based on this anomaly is shown to generate annual profits of up to 25 per cent. The implication is that the Ukrainian stock market is inefficient.

This paper provides some new empirical evidence on the weekend effect (one of the best known anomalies in financial markets) in Ukrainian futures prices. The analysis uses various statistical techniques (average analysis, Student’s t-test, dummy variables, and fractional integration) to test for the presence of this anomaly, and then a trading simulation approach to establish whether it can be exploited to make extra profits. The statistical evidence points to abnormal positive returns on Fridays, and a trading strategy based on this anomaly is shown to generate annual profits of up to 25 per cent. The implication is that the Ukrainian stock market is inefficient.

Sweden is one of the countries most densely populated by industrial robots. In this article, the market growth, the structure of applications, the marketing, and the buyer behaviour are described, and compared to the UK situation. Some future trends are also discussed.