Search results

When large currents flow near steel plates in large electric machines, the eddy current loss produced in the plates causes local overheating. Therefore, not only the total loss but also the loss distribution should be analyzed accurately. The local loss distribution, however, has not been fully analyzed yet.

The purpose of this research is to examine the impact of corporate governance proxies by ownership structure on financial constraints for a sample of 215 non-financial Pakistan Stock Exchange (PSX) listed firms between 2010 and 2018.

The dynamic generalized method of moments (GMM) estimator is used to determine the influence of ownership structure on financial constraints. The ownership structure of sample enterprises is measured using seven variables: managerial, family, institutional, foreign, associated, presence of block holder, and concentrated ownership, while financial limitations are determined using the KZ Index. The WW Index is used to assess the robustness of the results. In addition, for robustness, we also used OLS and FE.

Based on the system GMM results, it was discovered that firm ownership structure has a significant impact on the likelihood of financial constraints. In the case of Pakistan, the results show that institutional ownership, foreign ownership, and the presence of a block holder in the ownership structure have a significant negative impact on financial constraints, whereas family ownership and ownership concentration have a significant positive impact. This finding remains true when financial constraints are measured using the WW Index.

The findings of the study provide business managers and investors with more information regarding the relationship between corporate governance quality and the degree of financial constraint in Pakistani firms. Furthermore, this study contributes new information from emerging nations like Pakistan to the existing literature, which will help regulatory bodies and policymakers build long-term corporate governance solutions to manage financial constraints. It is well established that improving the quality of corporate governance practices improves capital market efficiency and lowers the likelihood of financial constraints.

The study adds to the body of existing work on corporate governance and the possibility of financial constraints, with a focus on Pakistan. The findings show that when projecting company financial constraints, regulators should pay special attention to the quality of corporate governance, specifically ownership structure.

This paper aims to investigate the reliable thickness, and more generally, the geometric and material parameter determination of thin electrically conductive and diamagnetic coatings on conductive and ferromagnetic substrates, e.g. steel, using eddy current testing (ECT).

The analytical model of an ECT coil arrangement known from the literature is analyzed to evaluate the numerical simulation performed by a Finite Element (FE) program. The latter is used to investigate the influence of the sheet edge on the measurement result. Finally, a measurement setup is presented and the unknown geometric and material parameters are estimated from measurement data of different sample sheets at different air gaps.

Generally, valid mesh rules are found for a very accurate FE analysis of eddy current problems with large air gaps. The influence of large air gaps on the parameter estimation is emphasized. Moreover, the formulated hypotheses can be widely confirmed by measurements.

In this paper, electrical steel sheets coated with a conductive oven-cured ink are used. This sample configuration creates a discrete transition between the substrate and the coating as present in the analytical modeling approaches. Furthermore, the ferromagnetic substrate’s nonlinear B-H curve is not considered in the analytical model so far.

The analytical model is known from the literature. However, real practical measurements have not been carried out with the discussed setup. Furthermore, well-known literature on eddy current measurements usually only considers constant and very small air gaps.

The purpose of this paper is to obtain new empirical evidence about the connections between equity trading activity and five possible liquidity determinants: market capitalisation, dividend yield, earnings yield, company growth and the distinction between recently listed firms as opposed to more established ones.

The authors use a sample of 172 stocks from four European markets and estimate models using the entire sample data and different sub-samples to check the relative importance of the above determinants. The authors also conduct a factor analysis to re-classify the variables into a more succinct framework.

The evidence suggests that market capitalisation is the most important trading activity determinant, and the number of years listed ranks thereafter.

The positive relation between trading activity and market capitalisation is in line with prior literature, while the findings relating to the other determinants offer further empirical evidence which is a worthy addition in view of the contradictory results in prior research.

This study is of relevance to practitioners who would like to understand the cross-sectional variation in stock liquidity at a more detailed level.

The originality of the paper rests on two important grounds: the authors focus on trading turnover rather than on other liquidity proxies, since the former is accepted as an important determinant of the liquidity-generation process, and the authors adopt a rigorous approach towards checking the robustness of the results by considering various sub-sample configurations.

The purpose of this study was to determine how people protect against strong seasonal winds from the mountains and to examine the relationship between windbreaks and local settlements.

The study site was the Tsuchigoya area of Hongu-cho in Japan. Measurement surveys were conducted to record the distribution, heights, widths, types and current conditions of the stone walls. At the same time, interview surveys were conducted to gather information about the history and local practices of coping with strong winds.

This study contributes knowledge of different methods of coping with strong winds, such as windbreak forests, stone walls, local stones and metal wire and bars. The sloping terrain and strong winds contributed to the construction of stone walls, which influenced the residential property layout and settlement layout. Abundant stones were available at nearby rivers and it is evident that masonry craftsmanship shaped the stone walls and landscape, which should be considered as holding cultural value for the village.

This study has some limitations. First, because of it being the case study of one study area, the findings cannot represent all the possible situations or contexts in different regions or countries. Further studies are necessary to understand the climate-responsive knowledge of other locations to address and establish a comprehensive understanding and future suggestions.

By re-examining the stone walls assembled by the people, this study was able to gain insight into such matters as the wind conditions, local topography and geography, acquisition of materials, masonry craftsmanship and social conditions such as flood influences in the area. The study showed the climate-responsive local knowledge and influence on local settings.

It is now necessary to record traditional disaster prevention methods, even in such small villages, to consider how the diverse methods of disaster management and resilience against climatic conditions have been preserved through the ages. The stone walls and landscape should be considered to have cultural value for the village.

The study showed that climate-responsive local knowledge and settlement layout have been developed through the local topography, weather conditions, resource availability and social conditions.

This study aims to answer the question whether investment funds managers exhibit behavioural biases in their investment decisions. Furthermore, it investigates if fund managers, as a group of institutional investors, make decisions in response to central bank’s communication as well as other information in relation to various behavioural inclinations.

A comprehensive study was conducted based on a questionnaire, which is composed of three main parts exploring: (1) general information about the funds under the management of the surveyed group of fund managers, (2) factors that influence the investment process with an emphasis on the National Bank of Poland communication and (3) behavioural inclinations of the surveyed group. Cronbach’s alpha statistic was applied for measuring the reliability of the survey questionnaire and then chi-squared test was used to investigate the relationships between the answers provided in the survey.

The central bank’s communication matters for investors, but its impact on their decisions appears to be only moderate. Interest rates were found to be the most important announcements for investment fund managers. The stock market was the most popular market segment where the investments were made. The ultra-short time horizon played no, or only small, role in the surveyed fund managers’ decisions as most of them invested in a longer horizon covering 1 to 5 years. Moreover, most respondents declared that they considered in their decisions the information about market expectations published in the media. Finally, majority of the fund managers manifested limited rationality and were subject to behavioural biases, but the decisions and behavioural inclinations were independent and, in most cases, they did not influence each other.

The results reported in this study can be used in practice to better understand and to improve the fund managers’ decision-making processes.

Apart from the commonly tested behavioural biases in the group of institutional investors in the existing literature, such as loss aversion, disposition effect or overconfidence, this paper also focuses on the less intensively analysed behavioural inclinations, i.e. framing, illusion of the control, representativeness, sunk cost effect and fast thinking. The originality of this study further lies in the way the research was conducted through interviews with fund managers, who were found to be subject to behavioural biases, although those behavioural inclinations did not influence their investment decisions. This finding indicates that professionalism and collectivism in the group of institutional investors protect them from irrationality.

This paper aims to review the theory and empirical evidence of institutional investor behavioral biases in the lenses of behavioral finance paradigm. It surveys the research specifically focusing on behavioral biases among institutional investors in investment management activities worldwide.

A literature survey is done to gather and synthesize evidence on behavioral biases of institutional investors.

The survey and analysis reveal the following findings. First, the theoretical underpinning of investors’ irrational behavior has been neglected in behavioral finance research. Second, the behavioral heuristics and biases are dynamic and complex. Third, understanding behavioral biases’ origin, causes and effects requires interdisciplinary perspectives from the fields of psychology, sociology and biology.

The analysis and alternative perspectives drawn in this paper provide new insights into the field of behavioral finance and aims to suggest researchers, practitioners and regulators on the next course of actions.

This paper aims to investigate the impact of climate change news on the dynamics of US stock indices.

The empirical basis of the study was 3,209 news articles. Sentiment analysis was performed by a pre-trained bidirectional FinBERT neural network. Thematic modeling is based on the neural network, BERTopic.

The results show that news sentiment can influence the dynamics of stock indices. In addition, five main news topics (finance and politics natural disasters and consequences industrial sector and Innovations activism and culture coronavirus pandemic) were identified, which showed a significant impact on the financial market.

First, we extend the theoretical concepts. This study applies signaling theory and overreaction theory to the US stock market in the context of climate change. Second, in addition to the news sentiment, the impact of major news topics on US stock market returns is examined. Third, we examine the impact of sentimental and thematic news variables on US stock market indicators of economic sectors. Previous works reveal the impact of climate change news on specific sectors of the economy. This paper includes stock indices of the economic sectors most related to the topic of climate change. Fourth, the research methodology consists of modern algorithms. An advanced textual analysis method for sentiment classification is applied: a pre-trained bidirectional FinBERT neural network. Modern thematic modeling is carried out using a model based on the neural network, BERTopic. The most extensive topics are “finance and politics of climate change” and “natural disasters and consequences.”

This paper aims to explore the relevance of bounded rationality to the practice of institutional investors in Malaysia. Understanding institutional investor behavior is important, as it can determine the asset prices and consequently the market behavior.

A set of questionnaires is used to solicit information regarding the understanding and practical application of behavioral finance theories and strategies among fund managers in the Malaysian investment management practice. In the process, bounded rational theory is aimed to be validated. Fund managers’ possible bounded rational behavior is assessed with reference to their investment management approaches and strategies right from individual beliefs and acquisition of information, as well as investment management and strategies used.

The findings lend support to the notion that institutional investors too, being normal human beings, are expected to think and behave in a boundedly rational manner as postulated in bounded rational theory. The sources of bounded rationality are individual, institutional and social forces. Thus, portfolio trading and investment management strategies are exposed to wide varieties of behavioral risks. Despite the notions that behavioral risks are real and the impact on fund performance could be pervasive, fund managers’ self-awareness regarding control and institutional readiness to govern behavioral risks in investment practices is still low.

Empirical evidence drawn in the current paper is subjected to small sample size and specific focus on Malaysian context. Despite this limitation, the sample is statistically sufficient and provides a fair representation, as well as quality opinions, of fund manager’s investment management behavior in Malaysia. This research provides valuable implications to practitioners (fund managers) and regulators (investment management and capital market policymakers). In practice, the current study draws some practical ideas, especially for buy-side institutional investors, on the source and impact of behavioral biases on fund management practices and performance. For regulators, this research highlighted the needs and possible ways to regulate these behavioral risks.

The current paper provides new insights on the theory and practice of the institutional investor. In theory, this research provides evidence of bounded rationality of institutional investor behavior, practicing in the asset management industry in the emerging markets of Malaysia. This evidence lends support to the validity of the bounded rationality theory in explaining institutional investor behavior. In practice, thisresearch provides new insights on the relevance of behavioral finance perspectives and strategies in the asset management industry practice and policy.