Editor’s Note: If all goes as planned, the American Psychiatric Association will release a new Diagnostic and Statistical Manual of Mental Disorders (DSM-5) in May 2013. Since 1980, the DSM has provided a shared diagnostic language to clinicians, patients, scientists, school systems, courts, and pharmaceutical and insurance companies; any changes to the influential manual will have serious ramifications. But, argues Dr. Steven Hyman, the DSM is a poor mirror of clinical and biological realities; a fundamentally new approach to diagnostic (...) classification is needed as researchers uncover novel ways to study and understand mental illness. (shrink)

A pressing need for interrater reliability in the diagnosis of mental disorders emerged during the mid-twentieth century, prompted in part by the development of diverse new treatments. The Diagnostic and Statistical Manual of Mental Disorders (DSM), third edition answered this need by introducing operationalized diagnostic criteria that were field-tested for interrater reliability. Unfortunately, the focus on reliability came at a time when the scientific understanding of mental disorders was embryonic and could not yield valid disease definitions. Based on accreting problems (...) with the current DSM-fourth edition (DSM-IV) classification, it is apparent that validity will not be achieved simply by refining criteria for existing disorders or by the addition of new disorders. Yet DSM-IV diagnostic criteria dominate thinking about mental disorders in clinical practice, research, treatment development, and law. As a result, the modernDSMsystem, intended to create a shared language, also creates epistemic blinders that impede progress toward valid diagnoses. Insights that are beginning to emerge from psychology, neuroscience, and genetics suggest possible strategies for moving forward. (shrink)

Stimulants have been shown to be safe and effective for reduction of the symptoms of attention deficit hyperactivity disorder. Despite much debate, however, there has been little empirical evidence as to whether stimulants affect authenticity and moral agency in children. Singh presents evidence that stimulants do not undercut children's' sense of self and increase their experience of agency. These findings are consistent with laboratory evidence that stimulant drugs in therapeutic doses improve cognitive control over thought and behavior.

I defend an account of sexual orientation, understood as a reflexive disposition to be sexually attracted to people of a particular biological Sex or Sexes. An orientation is identified in terms of two aspects: the Sex of the subject who has the disposition, and whether that Sex is the same as, or different to, the Sex to which the subject is disposed to be attracted. I explore this account in some detail and defend it from several challenges. In doing so, (...) I provide a theoretical framework that justifies our continued reference to Sex-directed sexual orientation as an important means of classifying human subjects. (shrink)

There continues to be a debate on whether addiction is best understood as a brain disease or a moral condition. This debate, which may influence both the stigma attached to addiction and access to treatment, is often motivated by the question of whether and to what extent we can justly hold addicted individuals responsible for their actions. In fact, there is substantial evidence for a disease model, but the disease model per se does not resolve the question of voluntary control. (...) Recent research at the intersection of neuroscience and psychology suggests that addicted individuals have substantial impairments in cognitive control of behavior, but this “loss of control” is not complete or simple. Possible mechanisms and implications are briefly reviewed. (shrink)

This paper concerns the familiar topic of whether we can have genuinely emotional responses such as pity and fear to characters and situations we believe to be fictional1. As is well known, Kendall Walton responds in the negative (Walton (1978); (1990): 195-204 and Chapter 7; (1997)). That is, he is an ‘irrealist’ about emotional responses to fiction (the term is Gaut’s (2003): 15), arguing that such responses should be construed as quasiemotions (Walton (1990): 245), of which their possessor imagines that (...) they are genuine emotions. This is not to deny that an experience in response to a fiction may have a phenomenology very like a given emotion, but to insist that, nonetheless, such responses are not real instances of the emotions which they resemble (Walton (1997)). So, in his most famous example, Charles, who experiences fear-like emotion in relation to a film which depicts the approach of evil slime, does not, despite appearances, experience genuine fear towards the slime, but only quasi-fear (Walton (1990): 195-204)2. Walton’s view presupposes the following view about the nature of emotion3. (shrink)

Epistemic injustice occurs when people are harmed as knowers, especially when we lack the conceptual and interpretive resources to recognize people as knowers of their own experience. This essay addresses the ways in which concerns about epistemic injustice create a positive obligation to include diverse knowers of ethics within the academy and models a community-based alternative. This is ethical enfranchisement, by which we mean expanding the range of people included within ways of knowing ethical concepts, reflecting on the way people’s (...) experiences are represented in ethical discourse, and allowing priority ethical conversations to be identified by community research. The goal of teaching ethics through enfranchisement is the creation of social infrastructure and exchange between community and classroom. We describe our Re-envisioning Ethics Access and Community Humanities (REACH) Initiative at Salisbury University as an example; a community-based research partnership between public philosophy and community psychology in descriptive ethics. We also explore the obligation held by ethics professionals and academics to enfranchise community members in their conceptualization of ethical concepts, priorities, and knowledge. (shrink)

My topic is a certain view about mental images: namely, the ‘Multiple Use Thesis’. On this view, at least some mental image-types, individuated in terms of the sum total of their representational content, are potentially multifunctional: a given mental image-type, individuated as indicated, can serve in a variety of imaginative-event-types. As such, the presence of an image is insufficient to individuate the content of those imagination-events in which it may feature. This picture is argued for, or (more usually) just assumed (...) to be true, by Christopher Peacocke, Michael Martin, Paul Noordhof, Bernard Williams, Alan White, and Tyler Burge. It is also presupposed by more recent authors on imagination such as Amy Kind, Peter Kung and Neil Van Leeuwen. I reject various arguments for the Multiple Use Thesis, and conclude that instead we should endorse SINGLE: a single image-type, individuated in terms of the sum total of its intrinsic representational content, can serve in only one imagination event-type, whose content coincides exactly with its own, and is wholly determined by it. Plausibility aside, the interest of this thesis is also in its iconoclasm, as well as the challenge it poses for the diverse theories that rest on the truth of the Multiple Use Thesis. (shrink)

Although social scientists have identified diverse behavioral patterns among children from dissimilarly structured families, marketing scholars have progressed little in relating family structure to consumption-related decisions. In particular, the roles played by members of single-mother families—which may include live-in grandparents, mother’s unmarried partner, and step-father with or without step-sibling(s)—may affect children’s influence on consumption-related decisions. For example, to offset a parental authority dynamic introduced by a new stepfather, the work-related constraints imposed on a breadwinning mother, or the imposition of adult-level (...) household responsibilities on children, single-mother families may attend more to their children’s product preferences. -/- Without a profile that includes socio-economic, behavioral, and psychological aspects, efficient and socially responsible marketing to single-mother households is compromised. Relative to dual-parent families, single-mother families tend to have fewer resources and less buying power, children who consume more materialistic and compulsively, and children who more strongly influence decision making for both own-use and family-use products. Timely research would ensure that these and other tendencies now differentiate single-mother from dual-parent families in ways that marketers should address. Hence, our threefold goal is (1) to consolidate and highlight gaps in existing theory applied to studying children’s influence on consumption-related decision making in single-mother families, and (2) to propose a hybrid framework that merges two theories conducive to such research, and (3) to identify promising research propositions for future research. (shrink)

Against the backdrop of these works (Mitchell/Snyder and others), we propose an analysis of films with and about blind or visually disabled individuals that aims at exploring different modes of world perception. In our view, such an examination should not only discuss the question of “giving voice” and visibility to those who were formerly only represented in or by the media, or the fact that films belonging to what might be considered a “new disability documentary cinema” are dedicated to the (...) experience of disability from the point of view of those who deal with it. Rather, we examine films that do not restrict their field of vision to institutional context as cultural productions. These films allow the viewer to get to know different practices of seeing in the daily life of both blind or visually disabled and sighted people. In approaching these productions, we are interested in focusing on how the audio-visual regimes produce and structure our visual experience, translate it into a filmic grammar and thus not only create filmic patterns of blind perception but, at the same time, the cinematographic aesthetic of a so-called normal sightedness. (shrink)

This introduction to the Journal of Business Research special issue on anti-consumption briefly defines and highlights the importance of anticonsumption research, provides an overview of the latest studies in the area, and suggests an agenda for future research on anti-consumption.

Abstract: The aim behind analyzing Google Stock Prices dataset is to get a fair idea about the relationships between the multiple attributes a day might have, such as: the opening price for each day, the volume of trading for each day. With over a hundred thousand days of trading data, there are some patterns that can help in predicting the future prices. We proposed an Artificial Neural Network (ANN) model for predicting the closing prices for future days. The prediction (...) is based on these features (date, opening price, highest price, lowest price, volume), which were used as input variables and (closing price) as output variable for our ANN model. Our model was created, trained, and validated using data set in JNN environment, which its title is “Google-Stock-Prices”. The model evaluation showed that the ANN model is able to predict correctly 99.48% of the validation samples. (shrink)

Abstract: Accurate stock price prediction is essential for informed investment decisions and financial planning. In this research, we introduce an innovative approach to forecast stock prices using an Artificial Neural Network (ANN). Our dataset, consisting of 5582 samples and 6 features, including historical price data and technical indicators, was sourced from Yahoo Finance. The proposed ANN model, composed of four layers (1 input, 1 hidden, 1 output), underwent rigorous training and validation, yielding remarkable results with an accuracy of (...) 99.84% and an average error of 0.005. Additionally, we conducted a feature importance analysis, identifying the key drivers of stock price prediction, such as "High," "Low," "Open," "Volume"," and "Date." This study not only offers a highly accurate stock price prediction model but also contributes valuable insights into the influential factors affecting stock prices, enhancing the field of financial analysis and investment decision-making that are suitable for the task. (shrink)

As the world’s population grows and urbanization continues, the global waste crisis is becoming more severe, especially in developing countries. Without proper waste management, they may encounter various environmental and health risks. Biological technologies are regarded as promising waste management and recycling approaches in developing countries due to their cost-effectiveness and capability to handle diverse waste categories. One prominent technology in this aspect is the vermicomposting of organic waste utilizing the black soldier fly larvae. Nevertheless, significant financial resources are still (...) necessary to advance and expand biological waste treatment, which requires the participation of businesses. By examining waste management companies listed on the Vietnamese stock market, we highlight two challenges that hinder the adoption and scaling of the waste treatment system using black soldier flies and potentially other biological technologies in Vietnam. Specifically, the business regards the environmental services they offer primarily as a means to generate profit rather than as a genuine commitment to environmental preservation, and the values of companies operating in the environmental sector, particularly in waste management, have been significantly undervalued by the Vietnamese investing public. Therefore, we advocate for societal shifts toward the eco-surplus culture and apply the semiconducting principle of monetary and environmental values exchange to address the problem. (shrink)

Reproductive genetic technologies allow parents to decide whether their future children will have or lack certain genetic predispositions. A popular model that has been proposed for regulating access to RGTs is the ‘genetic supermarket’. In the genetic supermarket, parents are free to make decisions about which genes to select for their children with little state interference. One possible consequence of the genetic supermarket is that collective action problems will arise: if rational individuals use the genetic supermarket in isolation from one (...) another, this may have a negative effect on society as a whole, including future generations. In this article we argue that RGTs targeting height, innate immunity, and certain cognitive traits could lead to collective action problems. We then discuss whether this risk could in principle justify state intervention in the genetic supermarket. We argue that there is a plausible prima facie case for the view that such state intervention would be justified and respond to a number of arguments that might be adduced against that view. (shrink)

In the boiling atmosphere of the Vietnamese stock market, it is time to mention a few misconceptions from Vietnamese investors. (Vietnam Investment Review, 27-6-2007).

For many years, the relationship between the financial system and economic growth has attracted the attention of scholars intending to uncover the direction of the relationship. The stock market is a part of the financial system and plays an essential role in channelling equity funds into the economy and creating liquidity for the equity instruments. A substantial empirical study postulates that the stock market can boost the economic growth of an economy. However, other studies assert that, at best, (...) the stock market is an unimportant economic driver. (shrink)

Ceci est un recensement du livre de John Hyman 'Action, Knowledge, and the Will'. -/- This is a book review (in French) of John Hyman's book 'Action, Knowledge, and the Will'.

In Anti-Oedipus, Deleuze and Guattari claim that a general theory of society must be a generalised theory of flows. This is hardly a straightforward claim, and this paper attempts to examine the grounds for it. Why should socio-political theory be based on a theory of flows rather than, say, a theory of the social contract, or a theory of the State, or the questions of legitimation or revolution, or numerous other possible candidates? The concept of flow (and the related notions (...) of code and stock), I argue, is derived from contemporary economic theory, and most notably John Maynard Keynes. Deleuze and Guattari remained Marxists, not only because they held that contemporary political philosophy must inevitably be centred on the analysis of capitalism, but also because they held, following Marx himself, that the Marxist analysis of capital must constantly be transformed and adapted to new conditions. Thus, while certain aspects of Marx's analysis disappear from Capitalism and Schizophrenia, they are supplemented by the addition of new concepts adequate to the contemporary state of capitalism. The paper concludes, then, with an analysis of the role played by the concepts of flow, code and stock in Deleuze and Guattari's political philosophy. (shrink)

Stock market prediction is essential and of great interest because success- ful prediction of stock prices may promise smart bene ts. These tasks are highly complicated and very dicult. Many researchers have made valiant attempts in data mining to devise an ecient system for stock market movement analysis. In this paper, we have developed an ecient approach to stock market prediction by employing fuzzy C-means clustering and arti cial neural network. This research has been encouraged by (...) the need of predicting the stock market to facilitate the investors about buy and hold strategy and to make pro t. Firstly, the original stock market data are converted into interpreted historical ( nancial) data i.e. via technical indi-cators. Based on these technical indicators, datasets that are required for analysis are created. Subsequently, fuzzy-clustering technique is used to generate di erent training subsets. Subsequently, based on di erent training subsets, di erent ANN models are trained to formulate di erent base models. Finally, a meta-learner, fuzzy system module, is employed to predict the stock price. The results for the stock market prediction are validated through evaluation metrics, namely mean absolute deviation, mean square error, root mean square error, mean absolute percentage error used to estimate the forecasting accuracy in the stock market. Comparative analysis is carried out for single Neural Network (NN) and existing technique neu- ral. The obtained results show that the proposed approach produces better results than the other techniques in terms of accuracy. (shrink)

Among recent objections to Pascal's Wager, two are especially compelling. The first is that decision theory, and specifically the requirement of maximizing expected utility, is incompatible with infinite utility values. The second is that even if infinite utility values are admitted, the argument of the Wager is invalid provided that we allow mixed strategies. Furthermore, Hájek has shown that reformulations of Pascal's Wager that address these criticisms inevitably lead to arguments that are philosophically unsatisfying and historically unfaithful. Both the objections (...) and Hájek's philosophical worries disappear, however, if we represent our preferences using relative utilities rather than a one-place utility function. Relative utilities provide a conservative way to make sense of infinite value that preserves the familiar equation of rationality with the maximization of expected utility. They also provide a means of investigating a broader class of problems related to the Wager. (shrink)

In this chapter I argue that choosing to live forever comes with the threat of an especially pernicious kind of boredom. However, it may be theoretically possible to circumvent it by finding ways to pursue an infinite number of projects consistent with one’s personality, taking on endlessly pursuable endlessly interesting projects, or by rekindling old projects once you’ve forgotten about them. However, each of these possibilities is contingent upon having certain traits that you are likely not currently in a good (...) position to assess. I therefore argue that no one is in a good position to be confident about her prospects for living forever. (shrink)

The art of prediction of stock market volatility has always been a most challenged interdisciplinary research problem among scientist due to its highly non- linear nature of market flow. This paper tries to analysis the historical data of BSE Sensex using extreme volatilities estimators, GARCH, ANN and new proposed Text Mining approach for stock market predictions. Finally experimental results illustrates that the new proposed Text model can able to predict the volatilities of the stock price better than (...) other models. (shrink)

The design also addresses potential challenges such as robot mobility, collision avoidance, and space optimization. Performance metrics, including accuracy, time efficiency, and system scalability, are measured using simulation-based experiments in a controlled environment. The results show significant improvements in operational efficiency compared to traditional stock management approaches. This integration paves the way for future advancements in fully automated warehouses, reducing the need for human labor and increasing reliability. Finally, we discuss potential enhancements, including AI-based decision-making algorithms, multi-robot collaboration, and (...) integration with Internet of Things (IoT) for real-time data analysis and continuous system improvement. (shrink)

This thesis consists of three substantive studies about the Vietnam stock market. In particular, I study the asymmetric information, corporate governance (CG) practices, and foreign investment of publicly listed companies in Vietnam, presented in Chapters 2, 3, and 4, respectively. In Chapter 2, I investigate the effectiveness of a market surveillance system (MSS) on improving the market quality of the Vietnam stock market, as measured by liquidity and informed trading level. I find that market liquidity decreased after the (...) introduction of the MSS, and that the effect is more pronounced for small firms. Although informed trading, on average, does not change significantly after the MSS, subsample analysis indicates a significant decrease in informed trading among large and liquid firms. In Chapter 3, I investigate the relationship between firms’ CG practices and informed trading. I find a negative relationship between the two variables. Firms with better CG practices have a lower level of informed stock trading. Moreover, a natural experiment on a shock of firms’ CG practices generated by the CG policies shows that the negative relationship between CG practices and informed trading is a causal one, in which a change in the former causes a change in the latter. In another analysis around the implementation of the MSS, I find that the implementation of the surveillance system affects the relationship between the two variables, and this effect is driven by large and liquid firms. In Chapter 4, I investigate whether foreign investors in the Vietnam stock market are informed about firms’ performance. Using the residuals of foreign investor ownership as a measure of the abnormal foreign investor holding, I find that the abnormal foreign investor holding is positively correlated with firm performance in the following one year. I also find a positive correlation between abnormal foreign investor holding and the stock returns in the next three quarters. These findings indicate that foreign investors are informed about the firms up to a one-year period. (shrink)

As one of the most contagious diseases in history, Corona Virus (COVID-19) spread rapidly around the world infecting millions of people in the year 2020. Besides killing huge number of persons, the calamity not only ignited severe panic and chaos among them, it even affected vast businesses and stock markets around the globe. This study was undertaken to investigate those determinants, which affected the extent of stock market investors’ behavior in Pakistan during spread of COVID-19. Data was collected (...) from various individual investors, representing a high response rate of about 86.5% from 167 respondents. From the analysis it was indicated that most important and significantly influencing determinants on investment decisions in Pakistan Stock Markets are pertinent to: ‘getting rich quickly, loss aversion, fear of losses, expected corporate earnings and dividends, gut feelings on the economy, previous performances of firm’s stock and opinions of its majority shareholders, and eventually, the recommendations of brokers and family/friends. Our findings would first, assist in understanding the most common behavioral patterns of investors and secondly, determine to show the adequate paths, which lead towards the growth of Pakistan Stock Market. (shrink)

The Ukrainian PFTS stock index volatility reaction as a whole and its constituent economic sectors (“Basic Materials”, “Financials”, “Industrials”, “Oil & Gas”, “Telecommunications”, “Utilities”) to seven non-monetary US information signals (“Consumer price index”, “Personal spending”, “Unemployment rate”, “Gross domestic product”, “Industrial production”, “Consumer confidence”, “Housing starts”) was carried out for the period 2000–2017 on the basis of closing stock quotations in the trading day format. To assess the “surprise” component direct influence nature of the USA selected non-monetary information (...) signals on the PFTS stock index, an AR-GARCH econometric modelling device was used. The results achieved clearly indicate the presence of some PFTS stock index economic sectors heterogeneous reaction to the United States individual non-monetary information signals announcement. For example, such economic sectors as “Basic Materials”, “Financials”, and “Oil & Gas” volatility response to the US non-monetary information signal “Consumer price index” “surprise” components the opposite of the overall PFTS stock index reaction. It can also be concluded that the United States non-monetary information signals influence on the Ukrainian stock market volatility depends not only on the financial cycle phase and data frequency, but also on the PFTS stock index economic sector. (shrink)

Historically, many Christians have understood God’s transcendence to imply God’s properties categorically differ from any created properties. For multiple historical figures, a problem arose for religious language: how can one talk of God at all if none of our predicates apply to God? What are we to make of creeds and Biblical passages that seem to predicate creaturely properties, such as goodness and wisdom, of God? Thomas Aquinas offered a solution: God is to be spoken of only through analogy (the (...) doctrine of analogy). Gavin Hyman argues Aquinas’s doctrine of analogy was neglected prior to the early-modern period and the neglect of analogy produced the conception of a god vulnerable to atheistic arguments. Contra Hyman, in this paper, I show early-modern atheism arose in a theological context in which there was an active debate concerning analogy. Peter Browne (1665–1735) and William King (1650–1729) offered two competing conceptions of analogical predication that were debated through the 19th century, with interlocutors such as the freethinker Anthony Collins (1676–1729), theologian/philosopher George Berkeley (1685–1753), and skeptic David Hume (1711–1776). Lastly, I discuss the 18th century debate over theological analogy as part of the background relevant to understanding Hume’s Dialogues Concerning Natural Religion. (shrink)

This paper aims at answering the question whether the VN30 index futures introduction has an impact on stock market volatility in Vietnam. Apply GARCH model of volatility with additive dummy variable from 28/7/2000 to 10/9/2020, the result shows that when the first listed index futures contract appears, it makes the volatility of VNIndex increases. The result is still robust after excluding the turmoil period of Vietnam stock market. This paper implies that policy maker should be more careful in (...) promoting derivatives market in Vietnam. (shrink)

The stronger the level of economic integration between countries, the greater the need to study the formation patterns of the stock market reaction to the financial information signals. This concerns the Ukrainian stock market, which is now in its infancy, and which reaction to financial information signals is sometimes ambiguous. The research aims to identify the formation patterns of return and volatility indicators of the Ukrainian stock market reaction to the US financial information signals. To assess the (...) direct nature of US financial information signals effect on the PFTS stock index, the GARCH econometric modeling toolkit was applied. The research information base is the PFTS stock index and the Federal Reserve System financial information signals at the discount rate for 2000–2019. The fetch is divided into intervals corresponded to the ascent and decline phases of the financial cycle. It was found that an unforeseen increase in the discount rate at the financial cycle decline phase by 25 basis points decreases the PFTS stock index return, on average by 2.9%. Besides, the hypothesis about the general change stabilizing effect in the discount rate on the Ukrainian stock market volatility at the financial cycle growth phase was confirmed. Nevertheless, for investors, the most essential is the regulator’s monetary signals in the discount rate at the financial cycle decline phases rather than at the ascent phases because there is a more significant increase in the volatility level. (shrink)

The article examines the process of formation inventory of the enterprise and determines the optimal volume of commodity resources for sale. A generalization of author’s approaches to the formation and evaluation of inventories of the enterprise is carried out. The marketing-logistic approach was applied for the purpose of distribution groups of commodity resources due to the risk of non-fulfillment the order for the supply of goods of the enterprise. In order to ensure an effective process of commodity provision of the (...) enterprises, the costs associated with the formation of inventories are determined. The formalized scheme of the formation commodity provision and the process of optimization inventory of the enterprise is offered. The analysis the structure of the company’s inventory is carried out, the volume of goods turnover is defined, the stocks are grouped for various clustering characteristics. To conduct the study, statistical information was used on commodity resources of the enterprises, statistical methods (grouping, structure analysis, estimation of dynamic series), tools for assessing the efficiency of inventory use, HML-FMR clustering were used. The necessity of using XYZ and ABC analysis is indicated in order to obtain more reliable results and forecast values of the product support of the enterprise. Economic-mathematical modeling is applied and graphically shown the difference in the formation of commodity resources by various features of HML-FMR clustering. The calculations allow the enterprise to determine the optimal amount of commodity resources in accordance with the needs of consumers and their solvent demand, to plan financial resources for the formation of inventories, to develop assortment policy in accordance with demand for products and their implementation. The results of calculations the volume of merchandising of the enterprise, taking into account the HML-FMR clustering affect the formation of final financial performance of the enterprise — income and profits. (shrink)

The problem of measurement in economic models and the possibility of their quantum-mechanical description are considered. It is revealed that the apparent paradox of such a description is associated with a priori requirement of conformity of the model to all the alternatives of free choice of the observer. The measurement of the state of a trader on a stock exchange is formally defined as his responses to the proposals of sale at a fixed price. It is shown that an (...) analogue of Bell's inequalities for this measurement model is violated at the most general assumptions related to the strategy of the trader and requires a quantummechanical description of the dynamics of his condition. In the framework of the theory of weak continuous quantum measurements, the equation of stock price dynamics and the quantum-mechanical generalization of the F. Black and M. Scholes model for pricing options are obtained. The fundamental distinctions between the obtained model and the classical one are discussed. (shrink)

The primary objective of this research is to enhance the precision and speed of stock handling while minimizing human intervention and error. Our design incorporates state-of-the-art sensors, real-time tracking systems, and autonomous robots programmed with advanced algorithms for object identification, gripping, and movement. We propose a systematic workflow for automating the storage and retrieval process, starting from the identification of the stock to its precise placement and retrieval within the storage facility. The design also addresses potential challenges such (...) as robot mobility, collision avoidance, and space optimization. Performance metrics, including accuracy, time efficiency, and system scalability, are measured using simulation-based experiments in a controlled environment. The results show significant improvements in operational efficiency compared to traditional stock management approaches. This integration paves the way for future advancements in fully automated warehouses, reducing the need for human labor and increasing reliability. Finally, we discuss potential enhancements, including AI-based decision-making algorithms, multi-robot collaboration, and integration with Internet of Things (IoT) for real-time data analysis and continuous system improvement. (shrink)

The subprime mortgage crisis in the United States (U.S.) in mid-2008 suggests that stock prices volatility do spillover from one market to another after international stock markets downturn. The purpose of this paper is to examine the magnitude of return and volatility spillovers from developed markets (the U.S. and Japan) to eight emerging equity markets (India, China, Indonesia, Korea, Malaysia, the Philippines, Taiwan, Thailand) and Vietnam. Employing a mean and volatility spillover model that deals with the U.S. and (...) Japan shocks and day effects as exogenous variables in ARMA(1,1), GARCH(1,1) for Asian emerging markets, the study finds some interesting findings. Firstly, the day effect is present on six out of nine studied markets, except for the Indian, Taiwanese and Philippine. Secondly, the results of return spillover confirm significant spillover effects across the markets with different magnitudes. Specifically, the U.S. exerts a stronger influence on the Malaysian, Philippine and Vietnamese market compared with Japan. In contrast, Japan has a higher spillover effect on the Chinese, Indian, Korea, and Thailand than the U.S. For the Indonesian market, the return effect is equal. Finally, there is no evidence of a volatility effect of the U.S. and Japanese markets on the Asian emerging markets in this study. (shrink)

A failed market, or asymmetric information, is a well-known economic concept. This phenomenon can be witnessed in a variety of markets. However, the repercussions of information asymmetry are thought to be more substantial in the stock market. Because, in addition to measurable economic impact, knowledge asymmetry harms trust. The Vietnamese stock market has experienced several successes since its creation, yet it still has many restrictions typical of a young market. The numerous violations of the subjects on the market (...) in recent years reflect those restrictions. Information issues, or more broadly, information asymmetry, are primarily responsible for these errors. The goal of this study was to analyze and assess the degree of information asymmetry in the Vietnamese stock market during a five-year period (2018 – 2022). The author tests the information asymmetry effect using GARCH models for VN-Index data and measures Adverse Selection Component (ASC) using the Glosten & Harris model for the 100 largest capitalization companies on the Ho Chi Minh City Stock Exchange (HOSE). The findings demonstrate information asymmetry, and the ASC value for the entire study period is 89.53%. This empirical finding serves as the foundation for formulating suitable policy recommendations for every market participant, aiding in the growth of a productive, equitable, open, and transparent Vietnamese stock market. (shrink)

Authors' affiliation: Centre Emile Bernheim, Solvay Brussels School of Economics & Management, Université Libre de Bruxelles; 50 Avenue Franklin D. Roosevelt, B-1050, Bruxelles, Belgium. ... Journal: Economic Studies, Volume 44, Number 9, Serial Number 316. ... Publisher: Vietnamese Academy of Social Sciences – Vietnam Institute of Economics. ... Suggested citation: Farber, A. & Vuong, QH (2004) “New empirical results on anomalies and herd behaviors: Vietnam stock market 2000-2004,” Economic Studies.

How people understand the fundamental dynamics of stock and flow is an important basic theoretical question with many practical applications. In this paper, we present a universal frame for understanding stock-flow reasoning in terms of the theory of force dynamics. This deep-level analysis is then applied to two different presentation formats of SF tasks in the context of climate change. We can explain why in a coordinate-graphic presentation misunderstandings occur, whereas in a verbal presentation a better understanding is (...) found. We end up with recommendations for presentation formats that will help people to better understand SF dynamics. Better public SF understanding might in turn also enhance corresponding public action – such as enhancing pro-environmental actions in relation to climate change. (shrink)

I argue that Kathleen Stock omits crucial information in her 2021 book Material Girls, when she debates with Thomas Laqueur, information which enables readers to appreciate the excitement in relation to his historical discovery. I argue further that this is more than just a communicational problem. I then present a reason for rejecting the theory Laqueur uncovers: the initially strange theory that there is just one sex. But I argue that the one sex theory is unlikely to be killed (...) off by this reason. I also raise a concern about Stock’s interpretation of Mrs. Gaskell’s Cranford. The writing style here is influenced by an essay by a medic. (shrink)

This study examines the effects of ownership structure on firm performance in the Vietnamese stock market using a sample of 76 manufacturing companies listed on the Ho Chi Minh Stock Exchange (HOSE) during 2007-2015. Firm performance is measured by Tobin’s Q, and ownership structure is investigated in three different aspects: managerial ownership, block ownership and state ownership.

The integration of robotics and stock management systems has revolutionized warehouse operations, offering greater efficiency, accuracy, and flexibility. This paper presents an optimal design for integrating robotic systems with stock management for pick-and-place operations in warehousing environments. The primary objective of this research is to enhance the precision and speed of stock handling while minimizing human intervention and error. Our design incorporates state-of-the-art sensors, real-time tracking systems, and autonomous robots programmed with advanced algorithms for object identification, gripping, (...) and movement. (shrink)