Trading Activity Research Articles

Portrait of Datu Kalampayan Religious Tourism Area, Astambul District, Banjar Regency

The purpose of this study was to describe the portrait of traders as a visitor attraction in the religious tourism area of Datu Kelampayan Astambul Sub-district, Banjar Regency. Qualitative research method was used in this study to describe the general description of the location and to describe the portrait of traders as a visitor attraction in the religious tourism area of Datu Kelampayan, Astambul Sub-district, Banjar Regency. The subjects in this research are the manager of the religious tourism area, tourists who come to visit the religious tourism area, and local people who carry out trading activities in the Datu Kalampayan religious tourism area. Data collection techniques were carried out using observation, interviews and documentation. Data analysis uses data reduction based on research objectives, data presentation based on description, and data withdrawal based on conclusion drawing. Test data validity with triangulation. The results showed an overview of the Datu Kalampayan religious tourism area, which has a well-organised area and has various adequate facilities for visitors to use. The portrait of traders as a visitor attraction in the Datu Kalampayan religious tourism area is carried out every day and is related to economic activities. Economic activities carried out by traders consist of production, distribution and consumption activities. The conclusion of this research is that the tourist area has various facilities that can be utilised by visitors, one of the facilities that visitors often visit is a trader's place. The existence of trading activities in the Datu Kalampayan religious tourism area is used to meet the needs of local people in their daily lives.

Advancements in Stock Market Prediction Techniques: A Comprehensive Survey

The stock market, known for its unpredictable nature and complex workings, has been the focus of significant study. Conventional models frequently fail to fully capture the complex and diverse nature of stock market behavior. With the increasing complexity of financial markets, there is a rising demand for advanced strategies that can offer investors precise predictions and essential insight. There are several studies in this regard, from which we chose 24 modern studies from the year 2018 to the year 2023 in various ways to come out with results that are the focus of a new start in the prediction. This review collected different machine learning methods and deep learning techniques, including deep neural networks, which were then used to build powerful prediction models. Integrating behavioral finance theory with quantitative indicators and financial news provides a unique perspective on stock market dynamics. Also, The Efficient Market Hypothesis (EMH) highlights the significant impact of future information, such as news, on the valuation of stocks. Combining deep learning techniques in forecasting and examining the stock market represents an essential stage in financial research, it offers a more intricate comprehension of the intricacies of stock market dynamics. However, obstacles still need to be overcome, and it is essential to use prudence when applying reported accuracies to actual trading situations. The convergence of behavioral finance, efficient market hypothesis, and deep learning present opportunities for more investigation, offering a more comprehensive method of forecasting stock market trends

Implementasi Takaful Sebagai Sistem Asuransi Syariah Dalam Jual Beli Mobil pada PT. Mandiri Utama Finance Syariah di Kabupaten Bone

Takaful, as a form of sharia-based insurance, has an important role in providing protection collectively with the principle of mutual help in accordance with Islamic law. This sharia insurance is free from elements of riba, gharar, and speculation, making it a more suitable option for Muslims compared to conventional insurance. In the context of buying and selling, such as car buying and selling transactions at PT. Mandiri Utama Finance Syariah in Bone Regency, takaful is an important solution to provide protection against various risks that may occur in trading activities. This study will further examine the implementation of takaful in the practice of buying and selling in the Islamic financial sector. This study aims to find out the Implementation of Takaful as a Sharia Insurance System in Buying and Selling Cars at PT. Mandiri Utama Finance Syariah in Bone Regency. The type of research used is a type of qualitative research with an Islamic economic approach supported by the use of observation, interview and documentation methods in collecting the required data. The data sources used are primary data and secondary data. The collected data is then processed with steps, namely data reduction, data presentation, and data verification/conclusion drawn. The results of the study show that the car buying and selling system at PT. Mandiri Utama Finance Syariah Bone is that there are several advantages in buying and selling cars, namely sharia without usury interest, fixed installments until the end of the tenor, no penalties and fines with interest and clear contracts ahead and blessings.

Optimal Economic Analysis of Battery Energy Storage System Integrated with Electric Vehicles for Voltage Regulation in Photovoltaics Connected Distribution System

The integration of photovoltaic and electric vehicles in distribution networks is rapidly increasing due to the shortage of fossil fuels and the need for environmental protection. However, the randomness of photovoltaic and the disordered charging loads of electric vehicles cause imbalances in power flow within the distribution system. These imbalances complicate voltage management and cause economic inefficiencies in power dispatching. This study proposes an innovative economic strategy utilizing battery energy storage system and electric vehicles cooperation to achieve voltage regulation in photovoltaic-connected distribution system. Firstly, a novel pelican optimization algorithm-XGBoost is introduced to enhance the accuracy of photovoltaic power prediction. To address the challenge of disordered electric vehicles charging loads, a wide-local area scheduling method is implemented using Monte Carlo simulations. Additionally, a scheme for the allocation of battery energy storage system and a novel slack management method are proposed to optimize both the available capacity and the economic efficiency of battery energy storage system. Finally, we recommend a day-ahead real-time control strategy for battery energy storage system and electric vehicles to regulate voltage. This strategy utilizes a multi-particle swarm algorithm to optimize economic power dispatching between battery energy storage system on the distribution side and electric vehicles on the user side during the day-ahead stage. At the real-time stage, the superior control capabilities of the battery energy storage system address photovoltaic power prediction errors and electric vehicle reservation defaults. This study models an IEEE 33 system that incorporates high-penetration photovoltaics, electric vehicles, and battery storage energy systems. A comparative analysis of four scenarios revealed significant financial benefits. This approach ensures economic cooperation between devices on both the user and distribution system sides for effective voltage management. Additionally, it encourages trading activities of these devices in the power market and establishes a foundation for economic cooperation between devices on both the user and distribution system sides.

Portuguese Textiles and Apparel Industry: Assessing the Effect of International Trade on Employment and Green Employment

This study examines the impact of international trade activities on employment in the Portuguese textiles and apparel industry from 2010 to 2017. It finds evidence that imports and exports have a persistent, negative, and significant effect on overall job creation, with this impact intensifying over the long-run. Additionally, the increasing elasticity of substitution between imports and exports indicates that private companies of this industry have benefited from a win–win situation characterised by higher production volumes and lower marginal costs. By applying an unsupervised machine-learning method, followed by a discrete choice analysis to infer the firm-level propensity to possess green capital, we identify a phenomenon termed the green international trade paradox. This study also reveals that international trade activities positively influence green job creation in firms lacking green capital if and only if these players are engaged in international markets while negatively affecting firms already endowed with green technologies. As such, empirical results suggest that the export-oriented economic model followed over the last decade by the Portuguese textiles and apparel industry has not necessarily generated new domestic employment opportunities but has significantly altered the magnitude and profile of skill requirements that employers seek to identify in new workforce hires.

CEO-related announcements, trading activity, and calendar effects

ABSTRACT This study examines how abnormal trading volumes reflect new information, such as CEO-related announcements. Using hand-collected data on 1,236 CEO reappointments and turnovers from Polish firms listed on the Warsaw Stock Exchange, we show that investor reaction to CEO-related announcements is stronger in the winter-spring season than in the summer-fall season. However, in the summer-fall season, CEO reappointment triggers higher trading activity than CEO turnover announcements, while in the winter-spring season, the reaction is opposite. We also discover that abnormal trading volumes induced by CEO-related announcements are significantly lower at the beginning and end of the week than in the middle of the week. Furthermore, when it comes to day of the week anomalies, investors are much less interested in CEO reappointment than in turnover. The findings suggest that calendar effects influence investor reactions to CEO appointments, offering new insights into market anomalies and corporate governance mechanisms.

Analisis Kelompok Kegiatan Masyarakat Sempadan Sungai dalam Hubungannya dengan Upaya Menjaga Kebersihan Sungai di Wilayah Kelurahan Sungai Lulut Kecamatan Banjarmasin Timur Kota Banjarmasin Provinsi Kalimantan Selatan

Sungai Lulut sub-district is one of the sub-districts within the East Banjarmasin sub-district, Banjarmasin City. Most of the daily activities of the river border communities in this sub-district consist of market and shop activities. It is thought that population density and the rise of trade activities can affect the cleanliness of rivers. At least two types of waste were found on the river border of Sungai Lulut Village, East Banjarmasin District, namely domestic waste and commercial waste. There are indications of a relationship between community activity groups and efforts to deal with waste and rubbish, thus showing their influence on community efforts to maintain river cleanliness. It is also indicated that the age and education level of the community are influencing factors, as can be seen from the student-level community groups whose involvement is relatively low in efforts to deal with waste to keep the river clean.

Google search and cross-section of cryptocurrency returns and trading activities

This paper examines the effect of investor attention on the cross-section of cryptocurrency returns and trading activities. We find that cryptocurrencies associated with higher abnormal Google search volume subsequently exhibit higher returns, higher volatility, and higher trading volume. The results are robust to alternative sample periods and alternative search keywords, providing concrete support to the attention-induced price pressure hypothesis and consistent with prior studies on the equity market. The effect is more pronounced among larger cryptocurrencies. Only a partial reversal after the initial return increase is observed, implying that investor attention permanently impacts cryptocurrency prices.

The regime complex for digital trade in Asia and China’s engagement

AbstractThe rapid development of information and communication technologies over the past two decades has resulted in profound transformations in traditional economic and trade activities, leading to the scaling of digital trade across the Asian region and beyond. Drawing on the conceptual framework of the regime complex, this article seeks to delineate the main features of regional digital trade governance in the Asian region and China’s engagement with the regime-building process in this policy field. It demonstrates that the digital trade governance landscape in Asian countries comprises a collection of partially overlapping and nonhierarchical regimes, where different regional actors are formulating competing visions and approaches to digital trade governance. In addition, the dynamic nature of the digital trade regime complex in Asia and China’s evolving approach to digital trade governance is mutually constitutive. By selectively liberalizing in certain contexts while remaining conservative in others, China contributes to a more complex and less cohesive regional digital trade environment. China’s emphasis on standard-setting efforts and security considerations introduces additional complexities to the regime complex, potentially impeding the development of comprehensive governance regimes for digital trade in the region.

Religious practices, fasting, and individuals’ trading behavior: a natural experiment

Purpose This study aims to investigate the effect of seasonality caused by fasting as a religious practice on trading activity. Design/methodology/approach The authors use an unbiased sample of daily trading by individuals and institutions on the Boursa Kuwait. The authors use panel data on trading activities and Tobit regression models to examine the effect of Muslims’ religious practice of fasting during the holy month of Ramadan on trading behavior. Findings The authors find that during the holy month of Ramadan, Muslims’ religious practice of fasting leads to a decline in the frequency of both overall stock market trading and the ratio of individual trading volume to total trading volume. The authors find a significant decrease in individual buy-side trading as a proportion of total trading volume and simultaneously a significant increase in institutional buy-side trading. Practical implications This study’s findings have important implications for the main players in stock markets of countries with a Muslim majority. Market-makers should be aware of the significant increase in the proportion of institutional buy-side trading volume to total trading volume to minimize the cost of trading with better-informed traders (adverse selection). Originality/value To the best of the authors’ knowledge, this is the first study that investigates individuals’ trading activity during Ramadan.

Shipping Market Forecasting Considering the Individual Investor Emotions: A Novel Twofold Partial Swarm Optimization Based Stacked Long Short-Term Memory Model

ABSTRACT Purpose The general purpose of shipping market prediction is to help shipping analysts design a strategy to make shipping strategies. Previous studies have pointed out human emotions has an obvious impact on markets, however, few research focus on utilizing human emotions to improve the shipping market forecasting issue. This paper fills the gap in the literature of considering industrial individual emotions to shipping market prediction issue Methodology We proposed a conceptual framework of an emotion-based shipping market prediction (ESMP) system focused on considering the multidimensional emotions of individual investors. To make it precisely, a two-fold Particle Swarm Optimization (TFPSO) algorithm is proposed conduct the shipping forecasting under the framework of ESMP, with advantages of automatically finding the architecture and hyperparameters of the Deep Long Short-Term Memory (DLSTM) simultaneously in the shipping market forecasting the values of the Baltic Dry, Dirty Tanker and Container indices of ocean transportation in the world ocean during the crisis period 2010–2022 Findings The prediction accuracy of the ESMP was higher than that of the models using the conventional factors in all learning periods of the study, and it was determined that the results complement the sentiment indicator employed to predict the shipping indices. Additionally, the accuracy of the proposed method is superior to conventional neural network models in all used error metrics. Additional Mann–Whitney U test on MSE difference between TFPSO-DLSTM and compared models demonstrates that the significant advantages boosted by TFPSO-DLSTM Originality Shipping sentiment has provided further proof that shipping decisions are significantly driven by emotions. our study shows that individual shipping investors’ sentiment are able to improve shipping rate forecasts significantly, although the magnitudes of the improvements are relatively small from an economic point of view Research implications This study undertook the initiative to procure BDI, BDTI, BCTI, COVID-19 data and shipping sentiment index data through in-depth interviews to provide first-hand perspectives into whether shipping sentiments impact the shipping market trend. It builds upon existing literature on the present stance of deep learning models, which largely relies non-sentiment factors. The study also extends prior literature on hyperparameter searching methods by highlighting the structure of searching method. Besides this, the contribution of this study also aligns with the prior discussions on evolving methodologies in temporal forecasting research Practical implications This study implies that shipping sentiments enables to make better shipping marketing trends, and foster sustainable growth. Shipping fear index serves for measuring investors’ attitude and mood toward shipping markets in terms of the general and certain sectors or assets, possibly promoting the movement of price and providing long-term investors and active traders with trading or arbitrage opportunities. Due to the complexities and regulations of the shipping market, it is essential to collaborate exclusively with shipping sentiment indices with artificial intelligent model in shipping market forecasting research

Kulturowe aspekty dark web

The article contains a review of research on the cultural aspects of the Dark Web. A semi-systematic literature review was used for this purpose, as such an approach enables the reviewing of a multi- or interdisciplinary research area. Scopus, an international and multidisciplinary database indexing academic publications, was the source of bibliographic data. It turned out that there is a relatively short history of research on the cultural aspects of the Dark Web. The first publications on the topic only appeared in the Scopus database in 2005, and it continues to be a niche area of research, with the annual number of indexed publications around a few dozen. The author distinguished the following groups of issues that researchers deal with: (1) motivations among Dark Web users for making use of this part of the internet; (2) the impact of the Dark Web’s existence and the anonymity it provides on human behaviour; (3) the specificity of trading activity on “dark markets”; (4) steps taken by illegal traders to gain a reputation and customer trust; (5) communication practices on discussion forums; (6) the freedom to disseminate information; and (7) the methodology for studying communities on “dark networks”.

Media tone and trading activity on the Sydney Stock Exchange 1901–1950

We examine how media reports influenced trading volumes and order imbalances on the Sydney Stock Exchange (SSX) from 1901 to 1950, focusing on wool market reports as a substitute for broader financial advice in the absence of a specialised investment press. Given wool's status as Australia's primary export and its integration with various sectors, we construct a weekly media sentiment index based on news about wool sales and auctions from the Sydney Morning Herald. Our findings reveal that positive news about the wool market correlates with increased trading volumes and reduced order imbalances on the SSX. This relationship persisted during significant events such as the UK government's wool purchase plans, the 1929 Wall Street Crash, World War II-related trading restrictions, and the short selling ban.

The state and the development of business organisations in Benin, ca. 1440–1897

Abstract The focus of this paper is on business organisations in Benin and their interplay with the state from the era of Oba Ewuare up to the fall of the Kingdom in 1897. The paper analyses economic nationalism in the kingdom and the roles in the protection and development of identified business groups during the period. Knowledge of business organisations in pre-British Benin and their relationship with the state, which aided their development between ca. 1440 and 1897 is a vacuum in the study of African business organisations and will be useful in understanding economic nationalism from an African perspective. The study adopts the historical method and requires a multidisciplinary approach for interpretation and reliability. As such, both primary and secondary sources were utilised, and the findings confirm that several business organisations in manufacturing, trading and in large scale crop farming existed. The work provides insights into the entrepreneurs, composition and operations of these businesses. The findings also reveal how trading and industrial activities were controlled and what implications this had for the development of these businesses and the state. The work shows in addition how these businesses benefited from the security and licences granted by the state as well as how the state used these businesses to mount up economic power and political stability.

Effects of trade and poaching pressure on extinction risk for cacti in the Atacama Desert.

In this era of a global biodiversity crisis, vascular plants are facing unprecedented extinction rates. We conducted an assessment of the extinction risk of 32 species and 7 subspecies of Copiapoa, a genus endemic to Chile's fog-dependent coastal Atacama Desert. We applied the International Union for Conservation of Nature Red List Categories and Criteria enhanced by expert insights and knowledge. Our primary aim was to analyze the impact of trade and poaching on their extinction risk. We employed machine learning models, including multinomial logistic regression (MLR), decision tree (DT), and random forest (RF), to analyze the relationships between conservation status and various factors. These factors encompassed trade and poaching activities, landscape condition, human footprint, monthly cloud frequency, and biological traits such as evolutionary distinctiveness and maximum diameter. Seven taxa had an area of occupancy (AOO) of <10km2, 10 additional taxa had an AOO of <20km2, and 16 taxa had an AOO of ≤100km2. This reassessment exposed a critical level of extinction risk for the genus; 92% of the taxa were classified as threatened, 41% as critically endangered, 41% as endangered, and 10% as vulnerable. MLR, DT, and RF exhibited accuracies of 0.784, 0.730, and 0.598, respectively, and identified trade and poaching pressure and landscape condition as the primary drivers of extinction risk. Our assessment of Copiapoa showed trade, poaching, habitat degradation, and their synergic impacts as the main drivers of the genus' extinction risk. Our results highlight the urgent need for nations to develop and enforce strategies to monitor and control trade and poaching pressure because these factors are crucial for the long-term persistence of desert plants.

THE IMPACT OF TAXATION ON INTERNATIONAL COMMERCE AND EXCHANGE RATE ON IMPORTS

The globalization of capital markets has accelerated capital movements, turning the world into one large marketplace. International trade has become an important tool in shaping the financial structure of countries. However, elements such as customs duties and import quotas play a decisive role in trade between countries. Taxes, which are a financial policy tool of countries, are used to influence foreign trade, particularly imports. One of the determining factors in foreign trade activities is the exchange rate. The purpose of this study is to examine the effect of taxes on imports and the change in the nominal exchange rate on the import volume of goods and services. In this study, which examined 20 Organization for Economic Co-Operation and Development (OECD) countries with data for the period 1999-2021 taken from the World Bank official website, the model was analyzed with the help of AR (1) Residual Random Effects Generalized Least Squares Regression Model Estimator. The analysis revealed that increases in international trade taxes and exchange rate increases reduce the import volume. This result empirically supports the conclusion that taxes on international trade and reductions in exchange rates increase import volume.

ONLINE STORE AS A COMPONENT OF E-COMMERCE AND DIGITAL BUSINESS TRANSFORMATION

This article examines the issue of managing an organization in the context of digital business transformation. The process of searching and optimizing methods and tools of digital transformation is relevant, this is especially evident in the field of e-commerce. In the article, the authors provide an overview of the e-commerce market, its leaders are highlighted. Based on the analysis of the structure and features of the development of global and national e-commerce markets, three categories are identified: 'large and mature', 'catching up' and 'waiting markets'. The dynamics of the global e-retail trade volume and the dynamics of sales volume of the Russian e-commerce market are considered. The concept of 'e-commerce' is clarified, the positive and negative sides of the development of e-commerce are highlighted. Depending on the types of subjects initiating interaction, the types of information and economic interaction or types of e-commerce are fixed. The article notes that information and communication technologies (ICTs) contribute to the organization and optimization of a number of business processes that are the basis of e-commerce: electronic data exchange, e-commerce and marketing, the formation of information and analytical systems of the organization. The authors emphasize that from the point of view of marketing, one of the most interesting components of e-commerce, its trading platform is online stores. The definition of the concept of 'online store' is given. By analyzing the entire variety of online stores represented in the modern business space, the authors classify them according to the methodology of doing business and the type of platform, by the type of organization of sales and trading activities, by product range and type of relationships with suppliers. The proposed classification allows you to: identify the entire range of online stores; streamline these tools; facilitate the search and justification of the choice of optimal methods of digital business transformation.

Pengaruh Layanan Deteksi Transaksi E-Commerce Nirlaba dalam Hal Dampaknya Terhadap Instrumen Kebijakan Moneter Islam

Abstract The researcher uses a qualitative approach method and through field studies and also based on several previous journals. The study population consisted of several buyers affected by gharar after buying and selling online applications such as Shopee, Lazada and Tokopedia. The results of this study were obtained after the researcher interviewed directly with buyers affected by gharar. The practice of gharar used by sellers is to describe the products they sell well without explaining the defects or badness of the products they sell. Directly or indirectly, such business practices undermine or weaken the company's competitive power. Basically, transparency and honesty are the most important things in trading activities.

An announcement effect in reverse? Evidence from cash‐settled convertible bonds

AbstractWe analyze the trading activity of underlying shares at the maturity of convertible bonds with cash‐settlement provisions. Our findings indicate that arbitrageurs and option dealers engage in systematic trading that leads to an increase in trading volumes and changes in the level of short interest in the affected underlying equities. We find significantly positive abnormal returns for the affected stocks if convertible bond‐related trading is not contaminated by opposing option‐related flows. This finding supports the notion that arbitrageurs can create a substantial market impact on shares underlying convertible bonds even without any relevant news dissemination.

Peculiarities of normative regulation training of specialists in security activities

The article deals with the peculiarities of professional training normative regulation of security personnel. It was found that there is no scientific research on the normative regulation of the qualification requirements that are put forward to the security personnel. The aim of the research is to prepare proposals for improving the regulatory regulation of security specialists’ training. To achieve the goals of the article, a complex of scientific methods was used: formal and dogmatic one - during the analysis of the provisions of normative legal acts in the sphere of security activities; comparative legal method - within the limits of comparing the norms of legislative and by-laws. The application of the methods of analysis, synthesis, induction and deduction made it possible to build a logical structure of the scientific article and draw reasonable conclusions regarding the optimization of normative regulation of the educational training of security specialists. The present research analyzed the history of legal regulation of security specialists’ training in Ukraine, identified shortcomings and gaps in the regulatory framework of this sphere of activity. It was established that the existing standards of higher education do not take into account the needs of subjects of security activities in the training of security personnel. It has been proven that the normative and legal framework in the sphere of security activities does not require specialists in organization of security measures to have a specialized higher education. It is justified that the bachelor’s degree holders (specialty «Personal and Property Security») and master’s degree holders (specialty «Security Activities and Safety») should not have different specializations. It was concluded that the differences can only be in the focus of the training specialties of bachelor’s and master’s degrees holders: for subjects of security activity - specialty 076 «Entrepreneurship, Trade and Exchange Activity», and for subjects of state security bodies - specialty 251 «State Security». On the basis of the conducted research, suggestions were made regarding the improvement of the Law of Ukraine «On Security Activities» dated March 22, 2012 and the Licensing Conditions for the Conduct of Security Activities, which were approved by the Resolution of the Cabinet of Ministers of Ukraine dated November 18, 2015 No. 960.