ABSTRACT
The cryptocurrency market has been growing rapidly in recent years. The volume of transactions and the number of participants in the cryptocurrency market makes it huge enough that we cannot ignore it. At the same time, the global stock market has also reached a new height in the past two years. However, due to the COVID epidemic and other political and economic-related factors in the last two years, the uncertainty in the capital market remains high, and short-term large fluctuations occur frequently;thus, many investors have suffered substantial losses. Pairs trading, an advanced statistical arbitrage method, is believed to hedge the risk and profit off the market regardless of market condition. Amongst the vast literature on pairs trading, there have been investors trading a pair of cryptocurrencies or a pair of stocks using machine learning or empirical methods. This research probes the boundary of utilizing machine learning methods to do pairs trading with one stock asset and another cryptocurrency. Briefly, we built an assets pool with both stocks and cryptocurrencies to find the best trading pair. In addition, we applied mainstream machine learning models to the trading strategy. We finally evaluated the accuracy of the proposed method in prediction and compared their returns based on the actual U.S. Stock and Cryptocurrency Market data. The test results show that our method outperforms other state-of-the-art methods. © 2022 IEEE.
ABSTRACT
The present study aims at understanding and analyzing the COVID-19-induced behavioral change spurting artificial intelligence (AI) adoption in Indian banking industry. The study has further identified and analyzed the usage pattern of Indian customers for mobile banking/online banking services in the pre-pandemic phase and progression of Indian customers for mobile banking/online banking services during the pandemic. Secondary data has been used for deep understanding of the AI adoption in Indian banking industry, with reports from McKinsey, PWC, RBI, NPCI, BIS, etc., to form the base. The period of study was taken from 2016 to 20, and this was taken keeping in mind the timing of another unprecedented event of demonetization. Behavioral change of Indian banking industry customer was assessed on three broad parameters change in value and volume of mobile banking transactions on year on year basis. COVID-19-induced behavioral change translating in massive jump of 178% in volume of mobile transactions between March 2019 and 2021. The increase in number of smart phone users and access to connectivity and desired technology has helped the cause. With 2020–21 punctuated by several nationwide as well as localized lockdowns adoption of AI for customer engagement has been crucial for Indian banking industry, which has further translated in to designing and customizing products and risk profiling of customers further resulting in increased operational efficiency and intuitive decision making. The behavioral change induced by COVID-19 in the Indian baking industry achieves competitive advantage by truly responding to huge customer data base which has been utilized by other financial industries as now it can have systems which understand and are responsive to behavior of varied customers. From responses feeded chatbots to intuitively responsive AI bots, the customer engagement is going to be a whole new experience which will help in customer acquisition and retention. Further, with falling data storage costs, increasing processing speeds and capabilities and improved connectivity and access for all has helped the rapid automation and AI adoption. Enterprise level adoption of AI has led to revenue generation and optimization of functional resources this reducing the cost at functional level. The AI adoption has been continuous from the banks over the years though banks have started to harness its potential in the recent years with customers adoption of smart hand-held devices. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
ABSTRACT
Amid the pandemic infection, people are bound to use contactless mobile payment (M-Payment) services. M-Payment is a payment method using an application in a mobile device, such as a mobile phone, and gadget. Owing to the convenience, reliability and contact-free feature of M-Payment, it has been diffusely adopted to reduce the direct and indirect contacts in transactions, allowing social distancing to be maintained and facilitating the stabilization of the social economy. Consequently, it has become one of the day's most important topics. Therefore, the purpose of this study is to provide a systematic literature review (SLR) on the applications of M-payment services in financial strategies, focusing on the pandemic crisis. 19 papers were collected and divided into three groups for further analysis. The results showed that M-Payments applications in financial strategies during the pandemic crisis could help reduce the spread of infection risks by hastening the transition to touchless habits. © 2023 World Scientific Publishing Company.
ABSTRACT
After the economic crisis of 2008, the need for solutions that introduce alternative forms of cooperation between economic actors increased greatly. At the same time, concerns for the environment have intensified, and the integration of environmental considerations in economic activities has become increasingly important. As a response, peer-to-peer economy and peer-to-peer payment systems, among other things, have emerged. Compared with previous economic crises, the COVID-19 pandemic has posed new challenges for everyone, which could lead to the intensification of alternative path-finding processes. The ecological problems the we face mean that the aim should be to go beyond the restoration of previous economic mechanisms prioritising ecological sustainability. In this study, the authors' aim was to present the elements of a novel solution concept that is based on the hypothesis that a digital community currency created through smart contracts can promote genuine practices of sharing as opposed to the currently operating platforms' profit-oriented approach. (English) [ FROM AUTHOR] A 2008-as gazdasági válságot követően megnőtt az érdeklődés az olyan üzleti modellek iránt, amelyek a szereplők közötti együttműködés alternatív formáit biztosítják. Ezzel egyidejűleg a környezetszennyezéssel kapcsolatos aggodalmak is felerősödtek és a környezeti szempontok gazdasági tevékenységekbe történő integrálása egyre fontosabbá vált. Erre válaszul jelentek meg többek között a közösségi gazdasági és a peer-to-peer fizetési rendszerek. A COVID-19 világjárvány hatásai a korábbi gazdasági válságokhoz képest is új kihívások elé állítják a gazdasági szereplőket, ami az alternatív útkeresési folyamatok ismételt előtérbe kerüléséhez vezethet. Az előttünk álló ökológiai problémák miatt azonban a járványt követően a korábbi gazdasági mechanizmusok helyreállításán túl a célnak egy az ökológiai lábnyom csökkentését elősegítő gazdasági modell kiépítésének kell lennie. Ebben a tanulmányban a szerzők célja egy újszerű megoldási koncepció elemeinek bemutatása, amely azon a hipotézisen alapul, hogy az intelligens szerződések révén létrehozott digitális közösségi valuta elősegítheti a megosztás valódi gyakorlatát, szemben a jelenleg működő sharing economy platformok profitorientált megközelítésével. (Hungarian) [ FROM AUTHOR] Copyright of Vezetéstudomány / Budapest Management Review is the property of Corvinus University of Budapest and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
ABSTRACT
Cryptocurrency trading drove the attention of individual traders during and after the lockdown period caused by COVID-19 restrictions. Trading systems use Japanese candlesticks-derived technical indicators to decide on behalf of traders. They offer insights into the market trend and help traders to decide how to manage their cryptocurrency portfolio. Japanese candlesticks help visualize the movement of cryptocurrencies' prices over a given period. This transformation is widely used to forecast the future trend, volatility, and prices of a cryptocurrency. Most of the research on forecasting returns suggests using three classes, uptrend, downtrend, and insignificant changes. Within this paper, we applied KMeans clustering to the Japanese candlesticks over a daily period of five of the highest capitalized non-stable coins (Bitcoin, Ethereum, BNB coin, Cardano, and Solana). Results indicates that the optimal number of clusters is ranging from 5 to 6 clusters using the elbow method for all the considered cryptocurrencies. The range of obtained results suggests that we should opt for a per cryptocurrency number of classes when dealing with cryptocurrencies classification tasks rather than using the three classes mentioned above. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
Sentiment analysis for Bitcoins and Cryptocurrency is an excellent way to understand how to make smart investment decisions. It provides broad market insights that can be useful for forming trading strategies. It is important to remember that markets are highly impacted by psychology. As such, investors should monitor market sentiment barometers to get better information on potential opportunities in the cryptocurrency market. Using these barometers is easy and can assist you in making better investment decisions. In the cryptographic market, a sentiment is a helpful tool for traders. It is because it combines the opinions, attitudes, moods, and perspectives of the public. Topic extraction was conducted to uncover keywords in feelings that capture the recurring theme of the text. This practice is often used to analyze a wide range of feelings to quickly and effectively identify the most common subjects. We used a few months of Twitter data for pre and post covid and applied the principle of latent semantic analysis and decomposition of singular values to group key water quality questions that impact people's lives. The study contributes to the literature on text exploration by providing a context to analyze the public's sense of bitcoin and cryptocurrency before and after COVID. This can help to understand key themes in negative feelings related to crypto-trading and key public concerns could be highlighted and shared with a broader community. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
Cryptocurrencies have been widely used as financial instruments over the past decade. Given the development of the cryptocurrency market and the increasing awareness of greener and more energy-efficient tokens, their connection to the green economy has become a popular topic for understanding economic and policy issues. However, the literature still lacks clear evidence on how cryptocurrencies interact with green economy indicators. Therefore, this study examines the correlations and spillover relationships between green economy indices, five black cryptocurrencies, and five clean cryptocurrencies for the U.S., Euro, and Asian markets. To this end, it applies the novel quantile spillover index approach of Ando et al. (2018) to daily data from November 9, 2017, to April 4, 2022. The empirical results show that the overall linkage is stronger for green economy indices and clean cryptocurrencies than for dirty cryptocurrencies. Moreover, green economy indices show net receiving behavior, while cryptocurrencies' results differ across variables, quantiles, and time. In addition, a notable point for clean cryptocurrencies is 2020, which was the start of the COVID-19 pandemic. The overall spillover effect is very high for all quantiles for the three markets, especially for Asia. This outcome signifies the safe harbor property for diversification purposes of the green economy. The results presented in this study are important for investors, regulators and, policymakers, cryptocurrency founders as they seek to be financially integrated and develop a more sustainable business. © 2023
ABSTRACT
Last decade had been worst for humanity as it faced Covid-19. The pandemic invited many things unknown to humans such as lockdown, compulsory mask and no contact with other people or things. The 'No Contact' initiated much awaited progress in payment from being entity exchange to being digital. The digitization of payment became biggest transformation;every common citizen realized the use of digital payment. The evolution of cash payment to internet banking and internet banking to e-wallet has made transaction easier for all the services without exhibiting physical form. Payment Gateways, Digital Wallet, Internet Banking use has risen as being fast and instant. Though the recent payments are secure on theft front with the use of digital money by many users at many times online payment system might face problem on digital money transfer with issues such as wrong payment, link failure or single point failure. There might be more problems such as insider problem and transaction being transparent. For such situations more secure and private path towards security is needed as insufficiency will give rise to risk mitigation. The paper recommends a payment system which will be based on privacy and permission laid by blocks to blocks for use in financial sector. The architecture proposed integrates the digital wallet with different banks to give foundation of Blockchain for secure transactions. The peer to peer network will share transactions as well share load to minimize load on central banking system keep the load distributed and secure overall data centres. © 2022 IEEE.
ABSTRACT
Several challenges have emerged as a result of the rapid spread of Covid-19 in Indonesia. To combat the pandemic, the government has also issued general guidelines for avoiding/limiting direct contact with common people who do not live with them. However, in some unavoidable cases, such as cash transactions, the social distancing has not yet been followed properly. These type of challenges can be avoided by the introduction of e-wallets and e-money. This research study examines the transactions made using e-wallets and e-money and how these methods are increasing sales in public places. The proposed research study has attempted to utilize both qualitative and a quantitative method to observe the customer behavior while using e-wallet as a substitute for physical money when making a transaction in a shopping mall. The result of the proposed research work will be compared with the existing literature to provide a conclusion based on existing research data and literature. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The popularity of the Internet and smartphones has led to the rapid development of mobile payment. Because of its fast, convenient and contact-free characteristics, it has accelerated the utilization rate of mobile payment in the context of the raging of COVID-19. Even so, merchants in traditional business circles in Taiwan still do not provide mobile payment services. Secondly, most of the current literature on mobile payment is still discussing the usage behavior of consumers, and there are few related researches on merchants. Therefore, this study takes merchants in the Dadaocheng business district of Taipei City as the research object, and explores the influence of subjective norms on the introduction of mobile payment by traditional merchants through one-to-one interviews. The research result is that the handling fee will increase the operating cost, affect the profit of the store, and become the main obstacle to the implementation. However, merchants will pay attention to the use of mobile payment by surrounding stores, and will affect the decision of store A as to whether to install. © 2022 ACM.
ABSTRACT
The Fourth Industrial Revolution created many opportunities in many industrial sectors to cope with the digital transformation emergence. The financial industry quickly developed mobile cashless payment transaction systems (e-wallets) that went viral and have been widely used. Compared with traditional payment services, cashless payments offer other advantages encouraging users to utilize the technology more often. In addition, Covid-19 accelerated the adoption of e-wallets as social distancing, and contactless transactions have been advised in response to limit the transition of the virus between people. Accordingly, this research is aimed to identify the main factors that encourage users to adopt e-wallet systems and the main concerns of the cashless technology before and during Covid-19. This research used the Systematic Literature Review (SLR) approach to answer the research questions that rolled around identifying these factors. The papers were selected between 2018 and 2022 as a representation of before and during Covid-19. The analysis of the chosen literature highlighted 31 total factors, 21 factors about e-wallet usage and 10 factors about technology concerns. Based on the identified factors, this paper can be useful for e-wallet technology practitioners in the field to provide better cashless payment services. © 2023 IEEE.
ABSTRACT
Our article employs a quantile vector autoregression (QVAR) to identify the connectedness of seven variables from April 1, 2019, to June 13, 2022, in order to examine the relationships between crypto volatility and energy volatility. Our findings reveal that the dynamic connectedness is approximately 25% in the short term and approximately 9% in the long term. The 50% quantile equates to the overall average connectedness of the entire period, according to dynamic net total directional connectedness over a quantile, which also indicates that connectedness is very intense for both highly positive changes (above the 80% quantile) and crypto and energy volatility (below the 20% quantile). With the exception of the early 2022 period when the Crypto Volatility Index transmits a net of shocks because of the Ukraine-Russia Conflict, dynamic net total directional connectedness implies that in the short term, the Crypto Volatility Index acts as a net shock receiver across time. While this indicator is a net shock receiver for long-term dynamics, wind energy is a net shock transmitter during the short term. Green bonds are a short-term net shock receiver. This role is valid in the long term. Clean energy and solar energy are the long-term net transmitters of shocks;nevertheless, the series is always and only momentarily a net receiver of shocks because of the short-term dynamics. Natural gas and crude oil play roles in both two quantiles. Dynamic net pairwise directional connectedness over a quantile suggests that uncertain events like the COVID-19 epidemic or Ukraine-Russia Conflict influence cryptocurrency volatility and renewable energy volatility. © 2022 Elsevier Ltd
ABSTRACT
The Covid-19 epidemic has wreaked havoc on the global economy indeed, Malaysia was unavoidable from this. Nevertheless, this has created a new transformation and renovation for the FinTech industry to develop tremendously. The users of digital wallets are anticipated to grow and hastened the shift from physical payment to digital payment. Touch' n Go e-wallet is one of the FinTech innovation platforms that growing quickest rate ever in Malaysia's emerging market, owing to the upward demand for contactless payments throughout Southeast Asia due to the epidemic. The adoption of digital wallets only grew extensively during the Covid-19 pandemic periods in Malaysia. Hence, the main purpose of this study is to determine the predictors that influence the intention to use Touch' n Go e-wallet among Millennial in Malaysia, particularly during the Covid-19 endemic. This study has proposed to extend the TAM model (perceived usefulness, perceived ease of use) with perceived risk and satisfaction predictors. A sample of a total of 150 millennial in Malaysia who use Touch' n Go e-wallet to participate in the survey. Millennial account for approximately one-third of Malaysia's population and roughly 50 percent of the labour force in Malaysia. The hypotheses were further carried out by employing the ordinary least squares regression analysis. The findings revealed that among Malaysia's millennials, perceived ease of use and consumers satisfaction have a substantial impact on their desire to use Touch' n Go e-wallets app. In order to increase the usage rates of digital payments transaction, the digital wallet service providers in Malaysia must focus on the usability and potential risks that might occur during the transactions are held. More so, a good customer experience will lead to a satisfactory level in using the e-wallet of Touch' n Go. This empirical study provides a model for government to stimulate and foster digital payment in the coming years. © 2022 IEEE.
ABSTRACT
Since the COVID-19 pandemic, businesses have faced unprecedented challenges when trying to remain open. Because COVID-19 spreads through aerosolized droplets, businesses were forced to distance their services;in some cases, distancing may have involved moving business services online. In this work, we explore digitization strategies used by small businesses that remained open during the pandemic, and survey/interview small businesses owners to understand preliminary challenges associated with moving online. Furthermore, we analyze payments from 400K businesses across Japan, Australia, United States, Great Britain, and Canada. Following initial government interventions, we observe (at minimum for each country) a 47% increase in digitizing businesses compared to pre-pandemic levels, with about 80% of surveyed businesses digitizing in under a week. From both our quantitative models and our surveys/interviews, we find that businesses rapidly digitized at the start of the pandemic in preparation of future uncertainty. We also conduct a case-study of initial digitization in the United States, examining finer relationships between specific government interventions, business sectors, political orientation, and resulting digitization shifts. Finally, we discuss the implications of rapid & widespread digitization for small businesses in the context of usability challenges and interpersonal interactions, while highlighting potential shifts in pre-existing social norms. © 2022 Owner/Author.
ABSTRACT
The world we know has changed over a brief period, with the ascent and spread of Covid-19. This affected the education sector resulting in offline classes to online classes. Technologies made it easy with numerous websites, materials, video lectures, courses, and techniques for the students. In this situation, the main problem arises with students not participating in the class having many reasons such as illness, being introverted, and feeling that they may be wrong. If we are not interested in something to talk about or are shy, we must face it so that we will make the best out of it. People remember the things they listen to carefully, so we can probably study less if we listen. In this research paper, we proposed a Blockchain based application, so students who are going to attend online classes would be able to participate more in the class. They will be able to gain incentives that are based on crypto currency and by using those cryptocurrencies they can spend it on fees or any other resources in the university which would be beneficial for students. They will be able to gain incentives that are based on cryptocurrency and by using those crypto currencies they can spend it on fees or any other resources in the university. We are using the most popular technology which is Block chain technology to make sure that students who are attending online classes will be able to pay more attention. Also, we are using the most famous functionality of Blockchain which is incentivization. To give rewards to the students we will be using incentivization so they can pay more attention to the classes. This design is beneficial for teachers also to look at the status of each student and get in contact with them. © 2022 IEEE.
ABSTRACT
The COVID-19 causes strong spillover effects between financial markets. This paper explores the dynamic spillover effects among cryptocurrency, clean energy and oil during the COVID-19 by employing TVP-VAR extended joint connectedness approach. The empirical results show that clean energy and oil markets appear to be the net receivers of spillovers, whereas cryptocurrency market appears to be a net transmitter of spillovers. The dynamic total connectedness experiences a rapid increase in March 2020 when the COVID-19 spreads around the world. © 2022 The Authors. Published by Elsevier B.V.
ABSTRACT
Since the lifestyle changes made during the COVID-19 period, the factors influencing the adoption of mobile payments are shown in this study during the COVID-19 Pandemic in Indonesia, a total of 408 respondents were collected and only 402 respondents are in accordance with the provisions of the research, data collection using google form and analyzed using SmartPLS, the questions were collected on google form and then disseminated using social media such as Line, WhatsApp, Discord, and Instagram starting on April 15th to May 23rd, 2022. The results showed that one hypothesis was rejected. Namely Performance Expectancy on Intention to use Mobile Payment. While the others are accepted for a positive impact, either directly or indirectly, on intentions to use mobile payments. © 2022 IEEE.
ABSTRACT
The Covid-19 pandemic makes people must adapt quickly, especially in digital money adoption. This study analyzes the effect of e-money on the consumptive behavior of students. This study uses a quantitative research design with a descriptive approach. This research's data was collected through the distribution of questionnaires with digital form media to Bina Nusantara University (Indonesia) students with an average age of 18 to 22. While the sample was selected using a purposive sampling technique. The total sample of the study amounted to 136 people. The results of this study show that there is a high level of consumptive behavior and a high level of use of electronic money services, especially for students. For some students, electronic money is not a substitute for paper money, but it is only used when there is a need or an exciting promotion. Students have also experienced problems or bad experiences in using electronic money services. This identified problem can be a suggestion for the company of this electronic money service to minimize the problems experienced by some students as active users of electronic money services. © 2022 IEEE.
ABSTRACT
In recent days, DeFi tokens have gained popularity as an investment option in the pandemic period and has gained a significant amount of investment. Cryptocurrency trading is a type of DeFi that has gained a lot of attention in the global market. The value of such currencies is increasing on a daily basis and peaked during the pandemic. One of these significant cryptocurrencies is the ether cryptocurrency, which ranks second only to the bitcoin cryptocurrency in terms of the value of a single coin. The ARIMA model will be used to forecast the price of ether. In this paper, an hourly forecast and a short term period forecast are performed. The forecast clearly shows that the ARIMA model performed better on log transformed data than on the original data. It's also evident that COVID-19 pandemic has also aided the growth of ethereum when compared to previous year. © 2022 IEEE.
ABSTRACT
The changes brought to retail as a result of the COVID-19 pandemic have forced an adjustment in consumer shopping behaviour. In addition to keeping distance, wearing masks, gloves and using disinfectant fluids, buyers were asked to forgo paying for the purchases with cash and use payment cards or mobile devices. The purpose of this paper is to identify similarities and differences in payments for grocery purchases in stationary retail shops during the COVID-19 pandemic by two consumer age cohorts, generations X and Y (Millennials). To compare the payment behaviour of the two generations, a CAWI survey was conducted during the second wave of the COVID-19 pandemic. The survey sample consisted of 650 individuals. Based on the variables for the three forms of payment (cash, payment cards and mobile payments), that buyers made in five types of shops (discount, supermarket, hypermarket, convenience shop and branch shops such as bakery and retail vegetable/fruit supply), a cluster analysis (Ward's method) was conducted. Four types of consumers were identified in each generation. The following similarities were found in payment behaviour in stationary retail outlets: In both generations, consumers most often pay for purchases by card and in each of them, a group using this form of payment almost exclusively can be distinguished. In contrast to Generation Y, otherwise known as the Millennials, Generation X includes customers who most often pay for the purchases in cash. Among Millennials, on the other hand, it is possible to identify consumers who prefer to use mobile payments and occasionally pay in cash. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.