Academic literature on the topic 'Online trading activity'

PurposeSocial trading platforms are considered to be amongst the major innovations in online trading. The purpose of this article is to analyze the trading activity of traders on social trading networks by taking a behavioral approach. Additionally, the authors investigate the factors that influence the irrational part of trading activity derived from the key characteristics of these platforms, i.e. those dealing with social interaction.Design/methodology/approachThe investigation utilizes an extensive set of trading data from two major platforms in Germany to study the trading behavior. The authors apply a fixed effects two-stage least squares (2SLS) approach to quantify the relationship between trading activity and performance and define overconfidence as the part of trading activity that is irrationally motivated and results in negative returns.FindingsThe results provide evidence for the negative relationship between overconfidence and return on social trading platforms. The authors find that the number of followers and some platform-specific features significantly affect the trading behavior of the traders.Originality/valueThe authors contribute to the existing literature by exploring how the novel social interaction characteristics of online trading impact trading activity by giving rise to a new dimension of overconfidence. In addition, the authors evidence that the different frameworks of the platforms motivate heterogenous behavioral responses by the signalers. Finally, the authors refine existing studies by applying a distinct methodology for modeling overconfidence.

In the earlier days, only brokers and companies utilized to hump way to the round hold mart but now online trading Bharat, of trading ensures trading for all. Internet also gives the required operation and acquisition on the hold activity as recovered as a precise reasoning of the happening of prices. There are galore websites that talk clear upbringing materials and dealing simulators that grow really susceptible and are cost-efficient for beginner`. Possibility traders can easily seek websites of all the content that would be required.

It is impossible to deny the importance of technology in our modern life. Technology has had a significant impact on almost every aspect of modern life, including but not limited to socializing, commuting, shopping, studying, and everything else. Over the years, the impact of technology has grown to such an extent that even aspects such as investment and the stock market are beginning to feel some impact. The stock market and technological progress are important components of the modern world. Technology has led to fundamental changes in the way financial markets operate, starting with the very first stage of stock formation and continuing to trade those stocks. Technology has undoubtedly radically changed the way investments are made. Financial markets today are largely computerized ‒ from software-based bidding to price determination and direct clearing and settlement, computer technologies have replaced manual operations and simplified functions throughout the value chain in trading. Stock markets around the world are leveraging technological advances for Secure Transaction Management and monitoring. Until a few years ago, brokers shouted at each other for exchanging orders on the stock exchange. However, today's stock exchange trading takes place without physical contact from brokers and provides unlimited opportunities for studying market trends and buying stocks. Thanks to the introduction of technology, the stock market has become more user-friendly, providing faster settlements on transactions, increased transparency, increased security, automated surveillance, and much more. The close relationship between information technologies and financial markets is beyond doubt, as is the relevance of research on the use of various information technologies and innovative solutions to achieve the highest results in financial markets. The purpose of this study is to identify and analyze modern information technologies used in securities trading. In particular, attention is focused on: tools for predicting trends in financial markets; technological solutions for improving financial literacy of the population, open access to the securities market regardless of the age category of the user, his professional activity, etc.; advantages and disadvantages of online trading, the specifics of online brokers and their role in trading on financial markets; technical analysis, time series analysis and quantum computing for analyzing trends in financial markets; using information technologies in the derivatives market.

Introduction. In the complex conditions of the pandemic, e-commerce, as world experience shows, is gaining considerable weight and reaches a very new level. A number of powerful online stores are moving from online trading to offline trading. The objective reality of the domestic economy is the functioning of commodity markets in its system, economic relations in which are characterized by the dominance of the producer or seller over the consumer. In the context of globalization, the problem of economic growth becomes especially important. The problem of the COVID-19 pandemic could not but affect the rate of economic growth. In such difficult conditions of the pandemic, e-commerce, as world experience shows, is gaining considerable weight and reaches a very new level. A number of powerful online stores, such as Rozetka and Makeup, are selectively moving from online trading to offline trading through separate sales channels. Based on this, the main purpose of research is to determine the features of marketing activities in today’s pandemic, in particular the rationale for the transition from offline to online commerce. Results. E-commerce is an economic field that includes all types of Internet transactions. The share of e-commerce is steadily growing in Ukraine. With 18.7 million Internet users in Ukraine, the share of e-commerce is only 7.2 percent, which in itself is a paradox. The number of Ukrainian buyers on the Internet is growing, but the rate of such growth is much lower compared to developed Western countries. Currently, the economic situation is such that such online stores Rozetka and Makeup, remaining leaders in online commerce, are moving to online commerce in order to develop additional sales channels. The trend of further development of e-commerce has a stabilizing effect on the development of the global economy. There is a formation of a single information space with the creation of appropriate conditions for open competition of goods and services. Therefore, every business must develop in both directions. And e-commerce has every reason for active implementation in the domestic market. Conclusions. The share of e-commerce is steadily growing in Ukraine. Leading online stores remain the leaders in online commerce, moving to online commerce in order to develop additional sales channels. Thus, e-commerce has every reason for active implementation in the domestic market. But there are a number of problems, although the forecasts are positive and e-commerce with a certain change in the behavioral factor will take a worthy place in the structure of the national economy and people’s consciousness. Thus, e-commerce has every reason for active implementation in the domestic market. But there are a number of problems that hinder the development of e-commerce. Although the forecasts, as world experience shows, are positive and e-commerce with a certain change in the behavioral factor will take a worthy place in the structure of the national economy and people’s consciousness. Key words: marketing, activity, commerce, electronic, offline trade, offline trade, market.

Urgency of the research. Under conditions of growing number of people, who use Internet and social networks, one can also observe expansion of business and online trading. Thus, there is a need to direct enterprises’ activity on increase of confidence. Target setting. Application of modern Internet technol-ogies sets a new vector of Internet trading development. Consumers have got an access to information, can ex-change it and build up their opinions concerning online trad-ing or about a definite product. Actual scientific researches and issues analysis. Substantial researches concerning development of Internet environment are done by well-known scientists, such as Bahrin Yu. N., Bereza A. M., Haievyi S. V., Zhavoronkova H. V., Makarova M. V., Moreinis A. and others. Peculiarities of consumer behavior are studied in the works of such scientists as Boichuk I. V., Bushuieva L. I., Holubkov E. P., Danko T. P., Illiashenko S. M., Lytovchenko I. L., Oklander M. A., Pylypchuk V. P. and other. Uninvestigated parts of general matters defining. Few scientific works study the issue of development, pro-cess and problems of online trading. It is necessary to make substantial researches of the issue of confidence in online consumer, investigate ways of its improvement. The research objective. Study of consumers’ confi-dence in Ukrainian online trading. The statement of basic materials. The article pre-sents principles of Internet-store performance. Argues low confidence of Ukrainian consumers in Internet-stores that is connected with low level of responsibility for untimely delivery of goods, absence of an appropriate level of pur-chase security, improper level of consumer’s privacy. Conclusions. The research proves that confidence in online trading can be improved by keeping to the main prin-ciples, including timely supply of goods, detailed description of the product, close feedback. It is argued that delivery of goods is of particular importance for consumers of online trading.

This activity provides an understanding to online game lovers about the importance of saving and investing from an early age and sharing other investment knowledge in the world of capital markets. This community service activity was carried out at the Semanggi Coffee Shop with participants, namely all members of the Pekanbaru Mobile Legend community. The result of this activity is that members of this online gaming community know and understand about the capital market and the products traded in the capital market. This service activity is carried out in several stages, namely at the initial stage the team conducts a briefing to prepare the materials and equipment needed, including: training materials, assignment letters, participant attendance lists, and consumption. In the final session, the activity was carried out by explaining the stock trading simulation using the IPOT application. When the simulation is carried out, participants see in real time the activity of stock trading transactions that occur on the Indonesian stock exchange.

Prediction markets are online trading platforms where contracts on future events are traded with payoffs being exclusively linked to event occurrence. Scientific research has shown that market prices of such contracts imply high forecasting accuracy through effective information aggregation of dispersed knowledge. This phenomenon is related to incentives for truthful aggregation in the form of real-money or play-money rewards. The question whether real- or play-money incentives enhance higher relative forecast accuracy has been addressed by previous works with diverse findings. The current state of empirical research in his field is subject to two inherent deficiencies. First, inter-market studies suffer from market disparities and differences in the definition of underlying events. Comparisons between two different platforms (one for play-money contracts, one for real-money contracts) are potentially biased by different trading behaviour. Second, the majority of studies are based upon identical datasets of market platforms (IOWA stock exchange, Tradesports/Intrade, NewsFutures).This paper contributes new insights by analysing 44,169 trading observations on ipredict, where real-money and play-money contracts are traded on a variety of events. Forecasting accuracy is analysed on overall trading activity as well as comparison of equal contracts under different monetary incentive schemes. Statistical models are built to analyse the influence of order volumes and days to expiry under both incentive schemes. Ignoring different events in underlying trading activity, play-money contracts imply statistically insignificant excess accuracy. In direct comparison of equal events, real-money contracts, however, real-money contracts predict at significantly higher accuracy. This paper finds a relationship between order volumes and forecasting accuracy whereas the influence of days to expiry and aggregated volumes showed lower R² than was expected by formed hypotheses.

In this paper, an online platform for a system of shared autonomous vehicles (AVs) is designed and tested. A model of fractional ownership among different households is presented, and a one-sided many-to-many matching problem between households and vehicles is solved. Preferences over vehicles, demographics of other co-owners, and weekly activity patterns of households are key factors taken into account in the matching process. In the designed platform, co-owners of each vehicle can reserve the vehicle in advance and can trade the reserved time with the other co-owners if the vehicle is no longer needed. Real-time submission of requests can also be accommodated through a trading mechanism among co-owners. The proposed architecture of the platform consists of three main components: ( i) a web-based user interface, ( ii) database, and ( iii) backend computation. The platform was tested using data collected from 15 households, who entered their trips and trading requests into the system.

This activity is carried out in collaboration with 3 Universities in the City of Tasikmalaya with the Financial Services Institution in the Capital Market to develop student competencies through an apprenticeship training program. This activity is carried out for 30 working days starting from February 2021 to March 2021 with a rotating system considering the training period during the Covid 19 pandemic. Internships are carried out online and once a week carried out offline with a rotating system to avoid crowds and maintain health protocols. With this work apprenticeship, it is hoped that students participating in the apprenticeship who are final year students can prepare themselves in the real world of work after graduating from college, where apprenticeships are also expected to be able to apply the theories obtained during college to be able to apply them in companies or institutions where they work. This activity is carried out with assistance from lecturers and tutors from the company. The implementation of this internship resulted in participants being able to learn firsthand the stock trading system at the Indonesia Stock Exchange with direct supervision of the trading market and be able to see how the marketing administration of opening a share account.

Contribution to online communities, such as stock message boards, may be considered as "paradoxical" (Rafaeli and LaRose, 1993), in that a "free-riding tendency" (Olson 1985) by rational participants would result in a lack of original content. However, online financial message boards continue to thrive as a platform for investors to share tips, express opinion and to disseminate (mis)information. The high interactivity and low communication costs of online message boards result in a potential for social networks to amplify the effects of behavioural biases (Zhang, 2014; Russ, 2007). However, previous studies on the informational content of message board postings, and the power of online communications in predicting abnormal returns and trading volumes produce conflicting results (Nardo et al., 2015). Prior studies focusing on small-capitalisation firms have so far produced stronger associations (Leung and Ton, 2015), but academic study in the field is still considered to be in its relative infancy (Zhang, 2014). This thesis contributes to existing literature examining relationships between message board postings and trading activity, by focusing on 854 securities listed on the comparatively lightly-regulated AIM submarket of the London Stock Exchange. Sentiment analysis techniques are applied to a dataset of 245,200 message board postings to calculate novel measures of posting sentiment and agreement, alongside posting frequency. The first empirical chapter of this thesis uses the event study method to analyse intraday abnormal returns and trade volumes surrounding increases in message board posting activity. Positive cumulative average abnormal returns are identified prior to - and immediately following - instances of abnormal posting frequencies, before drifting downwards. However, these returns are found to be economically small and statistically insignificant in many cases. Disaggregation of posting events by firm-specific characteristics finds only sporadic statistical significance in returns. However, abnormal trade volumes do appear to differ according to company type and the level of online sentiment. The second empirical chapter tests for causality between message board posting and share trading variables. Lagged correlation coefficients find evidence that posting behaviour impacts upon trading activity, and this is further supported by results of Granger Causality and Impulse Response testing. To the contrary, little evidence is found that message board postings impact upon share returns. Indeed, stronger evidence suggests the reverse to be true; share returns inform message board postings. The final empirical chapter of this thesis focuses on an individual instance during which an AIM-listed firm was subjected to a damning research note by a short-seller employing the online medium. Behaviour of the online (and offline) investment community following publication of the research is consistent with prior theories of social contagion and online herding. When considered in isolation, high-strength "shock" online content can possess the potential to impact upon online investor behaviour and the price-discovery process. This research ultimately adds to previous studies of online financial communities, and the findings of this these are discussed in the context of both traditional and behavioural finance.

博士
國立交通大學
資訊管理研究所
98
In recent years, the popularity of online-gaming has stimulated the development of virtual property market and instigated the trading of virtual property into a new commercial activity. However, the virtual property market has derived many trading disputes and crime problems. Among them, the trading fraud occupies the largest portion of the online-gaming criminal cases. For instance, some buyers have already paid but did not receive the merchandise, or the attribute and content of the merchandise were inconsistent with the advertising information provided by the seller, or the stolen or counterfeit goods were bought due to negligence. Such dispute and fraud may lead the game account to be frozen by the game operator, or the game players involved in bribes and other abuses of receiving stolen property were under investigation by the local jurisdiction. All these trading disputes and crime issues have growing at an amazing rate and appeared endless. After intensively studying the crime problems of online-gaming and the derived trading safety problems of virtual property, we have found that the most important factor is insufficiency of the related protection mechanism of virtual property and the lack of standardization of the description guidelines. In fact, the nature of the virtual property is a collection of a set of digital data 0 and 1, which is self-designed and set up by each game designer or operator. Basically it has the characteristics of being easy to copy, modify, forge, and delete. Plus the existing trading platform only advertises a limited description of the for-sale virtual property with the text or picture illustrations by the seller, there is no credible supporting documentation to clarify the source, contents, attribute value changes, ownerships, and trading records of the virtual property. Therefore, the buyers are often under situation with insufficient or mismatch information, resulting in the detection and prevention of trading disputes and crime problems hardly to be improved effectively. To address the problems stated above, this dissertation analyzes actual trading activities in the online-gaming virtual property market. Using the entity-relationship model, this study also derives the entity types required by virtual property trading and relationship types—and their attributes—for different entity types. By elucidating the entity type and dividing it into ten sub-entity-relationship models, this study explains the abstract data architecture of the database based on the concept of entity types and their relationship types. The relationship diagram of entity types is also utilized to diagrammatically express the entity set, relationship set, attributes, and the primary key content in the database. This helps specify the design content of the entity-relationship model of the online-gaming virtual property market. In reference to the supply chain electronic pedigree, towards the end of this study, we propose an innovative document architecture and security management mechanism for electronic pedigree of virtual property. This study then establishes an information architecture that identifies virtual property object sources, historical records of attribute value changes, past ownership replacements, trading content, and the latest attribute value. Additionally, combining the entity-relationship model of the trading activities of virtual property with the electronic pedigree makes it possible to derive a virtual property vocabulary and expression, with the extensible makeup language (XML) the expression language. The model in this study allows government agencies, game operators, and trading system operators to use the criteria expression of object content, trading, and electronic pedigree of virtual property to follow the expression design. The vocabulary and expression of the virtual property content, trading, and the electronic pedigree, can also allow game operators to provide sufficient trading information to both parties in virtual property trading, thereby redressing the existing problem of information asymmetry. The proposed virtual property expression allows game players, trading systems, and game platform to consistently interpret expression information in the future. This is beneficial to virtual property trading and circulation and helps game operators treat virtual property as consumer goods, flourishing commercial activities of virtual property. The application of a virtual property electronic pedigree is expected to reduce the problems of trading disputes and crime, settle the issue of stolen and counterfeit goods, supplement existing security and insufficient gaming historical record issues, and provide diversified trading credentials for virtual property. After game players obtain a virtual property electronic pedigree, game operators and trading system operators will be compelled to protect game players who hold virtual property, thus producing a more secure trading environment for online-gaming virtual property.

Security of online transactions is a key factor that affects a potential buyer's decision to make purchases online. In Thailand, security has been identified as the main reason for consumers' reluctance in purchasing products online. E-commerce rates in Thailand are considerably lower than those of other countries in the same region. However, this could be interpreted as a potential for e-commerce growth in Thailand. This study aims to identify the main factors affecting the low rates of e-commerce activity in Thailand and explores the social and cultural aspects of online shoppers here. Through a survey of Thais who shop online, this research aims to understand consumers' behaviours and their opinions relevant to security of online transactions. The research employs a qualitative approach and a questionnaire survey to collect pertinent data.

Results show a strong association between confidence in online security and the number of potential online buyers. E-commerce in Thailand can grow fully when appropriate security strategies have been developed. This can make potential buyers more confident about making online purchases. This finding has been confirmed using knowledge from across disciplines. Mathematical equations (adding test value, recalculating and mathematically reconstructing the data structure) and the laws of physics have been used to help explain this social behaviour as a conceptual idea of Mode-2 society. Following an in depth, trans-disciplinary analysis of the research data, some recommendations for the online industry and government entities have also been presented. The findings of the study and its recommendations focus on online trading activity can help in reducing fear or reluctance associated with online transactions among Internet users in Thailand and possibly leads to an increase in revenues from online shopping for the country.

The paper is devoted to the study of the main results of introducing a new experimental business model in the securities market and its technological solutions. Identifies the main problems of the financial markets inherent in countries with transitional economies, taking into account the characteristics of the capital market of Armenia, the need, the solution of which determined the strategy for the development and implementation of innovative approaches. Describes the features of the functioning of the new online platform in details, through which individuals can directly open a securities account in the Central Depository of Armenia and conduct operations with securities without intermediaries using an intuitively user interface. Carries out statistical and comparative analyzes of investment preferences of Armenian citizens, exchange trading data, as well as investing activity of users of the online platform.

The chapter highlights individual and collective resistance to the material restrictions associated with ‘being on the card’. Resistance can occur through formal and informal channels, and it can be overt or covert as the participant interviews highlight. The sense of shame of ‘being on the card’ sometimes resulted in avoidance of public spaces and commercial settings where the devalued identity of being a ‘welfare recipient’ would be more visible to others. Other forms of resistance discussed in the chapter include attempting to circumvent income quarantining, such as buying approved goods with the card and selling them for cash. Covert resistance like this was perceived by participants as less risky than ‘overt resistance’ in the form of trading public protests, direct advocacy and coordinated campaigns. This chapter traces the public campaigns and policy activism, both off-line and online that have sought to change the policy settings. Interviews with community stakeholders from different trial sites are drawn upon to examine the effectiveness of ongoing campaigns and advocacy to have the compulsory income management trials halted.