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BACKGROUND IN the early stages of World War II the U.S. Navy used the Lockheed PV‐1 (Ventura) in considerable quantities as a land‐based patrol plane for anti‐submarine and anti‐surface vessel patrol and attack. Inasmuch as the PV‐1 was the first high speed land based patrol aeroplane used by the U.S. Navy, and realizing that its aero‐dynamic configuration grew out of the commercial Lockheed Lodestar, it can be understood that its tactical utility was a compromise.

The purpose of this paper is to examine the macroeconomic determinants of stock market development in South Africa during the period 1975–2015. Specifically, it examines the impact of banking sector development, economic growth, inflation rate, real interest rate and trade openness on the development of the South African stock market.

The author employs autoregressive distributed lag bounds testing procedure that allows the author to empirically investigate both the short- and long-run relationships between the stock market development and its determinants in the context of South Africa. In addition, the author also conducts a sensitivity analysis by accounting for the presence of structural breaks in the underlying series to check for the robustness of the estimation.

This paper confirms the findings by other studies that banking sector development and economic growth promote stock market development, while inflation rate and real interest rate inhibit stock market development. In addition, this paper finds an interesting result in the fact that trade openness has a negative impact on stock market development, which is different from the findings of many other studies.

Currently, while the theoretical and empirical literature presents diverse views on the relationship between each determinant and stock market development, no study has focussed on the South African stock market. Given the significant role that the South African stock market plays in Africa as measured by its market capitalisation and market capitalisation ratio, there is a need for a better understanding of the macroeconomic factors influencing its development.

Looking at organizational decision and choices in the 1990s, it is tempting to conclude that we live in an era of focus and downsizing. The time of the conglomerate has passed. Downsizing can always be justified to improve efficiency, but only if it is really rightsizing to prepare a strong base for renewed growth. Focus, however, is a reflection of the way many organizations are choosing to deal with a series of issues they face, for which there are no black and white, right and wrong answers, and all of which interact with each other systematically. Moreover, focus is fashionable and diversity is not. This paper uses these often paradoxical issues to examine the complexity of strategy and explain why the search for winning strategic positions comprises a series of inter‐dependent choices.

The purpose of this paper is to examine the macroeconomic drivers of stock market development in Hong Kong during the period 1992Q4-2016Q3. Specifically, it investigates the impact of banking sector development, economic growth, inflation rate, exchange rate, trade openness and stock market liquidity on stock market development.

This paper uses quarterly time-series data covering the period 1992Q4-2016Q3, which have been obtained from various reliable sources. The study uses the autoregressive distributed lag bounds testing procedure to identify both the long- and short-run macroeconomic drivers of stock market development in Hong Kong.

We find that banking sector development and economic growth have positive impacts on stock market development, whereas the inflation rate and the exchange rate have negative impacts on stock market development both in the long and short run. In addition, the results show that trade openness has a positive long-run impact but a negative short-run impact on stock market development.

Despite the phenomenal growth of stock market in Hong Kong, there are, to the best of the authors’ knowledge, no relevant studies on the macroeconomic drivers of stock market development in Hong Kong. Therefore, this paper endeavours to enrich the literature by examining the macroeconomic drivers of stock market development in Hong Kong during the period 1992Q4-2016Q3.

Personal branding becomes a new in-demand skill for all professionals today. To be well-known helps to achieve success in the networked business environment. Personal relationships and a good reputation in the reality of network economy help young artists and art designers move up the career ladder. This paper aims to discuss a problem of artists who often find it difficult to define their artistic and self-distinction identities. The concept of personal brand and branding seems quite irrelevant, especially in reference to their own selves. People usually associate branding with marketing, which in our minds is usually the same as “pushy” and aggressive sales practices. Their find problematic to promote themselves. The purpose of this paper is to highlight that, based on existing theories, artistic identity creation in connection with the skill of personal branding is crucial for personal success in the profession of today’s young artists and art designers.

The study was conducted based on the data originally collected among artists, designers, architecture professionals and students. The data have been analyzed with the equal structural equation modeling method.

This paper presents empirical evidence that if artists view themselves as personal brands, it affects their personal performance in a positive way.

Authors claim that a teaching curriculum for young adult artists should include a personal branding program, to help them find and support their artistic identity and express their personal values and self-brand distinction, and leverage them to build their professional career.

This is one of the first studies to quantify the self-brand performance of young art designers as a benefit of being self-brand oriented.

The paper aims to explore how the undue state control leads to the weak stock market in China. It analyzes how the undue state control is exerted in some key areas in the Chinese stock market. This paper intends to expand the existing literature in the relationships among law, politics, and economy.

This paper mainly adopts the exploratory method to analyze the undue state influences. Under some circumstances, comparative study and historical explanation are also adopted.

The paper suggests that to create a strong stock market and facilitate the development of the listed companies and the whole economy, the state should first release its control on the stock market.

Various fields are contained in a stock market, in most of which the undue state control can be observed. In this paper, only some key ones are explored. Further research on other fields and if possible more first‐hand data are necessary.

This paper not only offers an answer to concerns on the various misconducts in the inefficient Chinese stock market and helps to realize the possible ways out of such dilemma, but also it offers implications for other emerging economies.

The on‐going debate on the role of common‐law versus civil‐law system in the capital market may have ignored the state involvement. This paper indicates that it is the undue state control rather than the legal system that leads to the weak stock market in China.

The study aims to examine the appropriateness of the coefficient of elasticity of trading (CET) as a measure of liquidity using Nigerian stock market data. Given that liquidity is multidimensional, the CET is complemented with the popular measure of liquidity, turnover ratio to explore the causal relationship among the CET, turnover ratio and market return to determine their relevance in security valuation. In other words, an attempt is made to examine if either of these two measures of liquidity is a relevant factor in explaining stock market return.

The Toda-Yamamoto version of Granger causality test is applied to two sets of data on the Nigerian Stock Exchange (NSE). The available monthly time series data are from 2008 to 2019 while the annual data are from 1986 to 2018. The Toda-Yamamoto test is preferred because it is more robust to integration and cointegration of the variables.

The results of the Toda-Yamamoto version of the Granger causality test on monthly data reveal no causal relationship between CET and market return, turnover and market return and CET with turnover and market return. These results are consistent with those for several frontier countries reported by Rubio et al. (2005), Hartian and Sitorus (2015), Batten and Vo (2019) and Sterenczak et al. (2020). The results support the conclusion that the Nigerian economy is not fully integrated with the global economy. Market inefficiency due to order imbalances given the nature of the trading system can also explain the reported results. However, the results from annual data do not tally with the monthly results. There is causality running from CET to market return. There is also causality running from turnover to market return. Therefore, both CET and turnover are statistically significant causal predictors of market return. The results from annual data are consistent with those reported by Marozva (2019).

The key limitation is availability of high-frequency transaction-level data to researchers to consider many measures of liquidity that have been employed in developed countries. The research implication is that more researchers will be encouraged to conduct more studies on liquidity and how the study results can drive policy recommendations. The standard asymptotic distribution of underlying the Toda-Yamamoto approach has been found to lead to overrejection.

This study is the first to apply Toda-Yamamoto model on data from Nigeria to investigate the causal relationship between stock market return and liquidity proxied by the CET given the nature of the automated trading system (ATS) in use. The CET is also complemented with the turnover ratio to explore the multidimensional nature of liquidity and its causal relationship with market return. The study is also interpreted as a determination of the integration of Nigeria's economy with the global economy with its implication on investment diversification.

This paper examines the impact of cryptocurrency market on the stock market performance in Middle East and North Africa (MENA) region. A comparative analysis is extended to distinguish this impact between Gulf countries and other economies in the region.

The analysis uses the information of cryptocurrencies and the stock market indices of the Gulf countries for the period 2014–2018 on a daily basis. Two strategies have been implemented to fulfill the goal of the study: first, the tests strategy, which is applied using the cointegration analysis and panel-specific forms of Granger causality; second, the regression strategy, which is applied mainly using the instrument variable with generalized method of moments (IV-GMM) method.

The results show that there is a significant relationship between the cryptocurrency market and the stock market performance in the MENA region. On the one hand, for the Gulf countries that claim full obedience to the Islamic Sharia rules, each 1% increase in the cryptocurrency returns reduces the stock market performance by 0.15%. On the other hand, for the non-Gulf (other MENA) countries that have flexibility in applying the Islamic Sharia rules or do not follow it, the stock market performance increases by 0.13%, for each 1% increase in the cryptocurrency returns.

The paper proposes two main contributions: First, the paper introduces the cryptocurrency returns as one of the determinants of the stock market performance in the MENA region. This impact is distinguished based on the degree of applying the Islamic Sharia rules and the vision of the government to the stock market. Second, the paper provides an empirical guideline for governments in the MENA region for efficient measures in their stock market, given the important expansion of the cryptocurrency market and the government type.

This paper aims to provide a comprehensive review of the literature on the determinants of stock market development.

The paper divides the existing studies into the theoretical and empirical literature. Then, it analyses these studies in turn.

Based on the theoretical literature, the determinants of stock market development can be broadly classified into two groups: macroeconomic factors and institutional factors. The theory and the empirics predict different ways in which macroeconomic factors affect stock market development. The real income and its growth rate foster stock market development, while the banking sector, interest rate and private capital flows can foster or inhibit it. Inflation and exchange rates have adverse effects on stock market development. In terms of the institutional factors, the literature indicates that different legal origins and stock market integration can have a positive or negative impact on stock market development. In addition, factors such as legal protection of investors, corporate governance, financial liberalisation and trade openness contribute positively to the development of the stock market.

From the survey, it is imperative that policies which aim at enhancing institutional quality, financial integration, real income growth, macroeconomic stability and capital inflows, among others, will certainly promote stock market development within and across countries. Although the empirical studies have incorporated a large set of variables in their models, the theoretical studies do not contain rich models of stock market development. It is understandable that a theoretical model which contains a large set of the determinants of stock market development may be difficult to solve. However, such a model seems very appealing and will provide a unification of the existing literature.

The originality of the paper lies in the fact that it is the first to undertake a survey of the determinants of stock market development in the literature. It is hoped that this paper will spur further theoretical and empirical research on the determinants of stock market development.

Some psychodynamic approaches conceptualise female violence as a communication of experiences too difficult to think about. As practitioners, understanding what may be too painful to be thought about is incredibly important in assessment and treatment of forensic populations. Incorporating psychodynamic concepts such as splitting, transference, projection and counter-transference into formulation can be extremely helpful in understanding and formulating women’s risk of violence. The purpose of this paper is to introduce how psychodynamic concepts can be incorporated into understanding, assessment, formulation and treatment with this complex client group. This paper will also outline treatment approaches with this population.

This paper will review existing psychodynamic literature and apply this knowledge to working with violent female offenders. Translating theory into reflective practice will be presented.

This paper presents the value of incorporating psychodynamic considerations into existing strategies of understanding and working with violent female offenders. Ways forwards and research directions are proposed.

This paper is focussed primarily on psychodynamic approaches to understanding this population

Psychodynamic concepts can add an additional dimension to formulation, supervision and treatment approaches with this population. Examining the meaning of violence perpetrated by women as well as enactments can improve practitioner’s depth of understanding. Empirical research examining the benefits of psychoanalytic supervision would be extremely useful to explore the impact on formulation, treatment approaches, treatment effectiveness, staff well-being and staff retention.

There is a lack of literature considering the application of psychodynamic constructs to help formulation of complex female offenders in the Offender Personality Disorder Pathway for women.