• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.122-124
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• 2018

While the investment on virtual currency is becoming a way of individual financial-tech, this research is to analysis big-data on virtual currency. The analysis is to focus on big-data in the SNS such as blogs and twitter.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.11-17
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• 2022

Currently, the income and funds of the local economy are flowing out to the metropolitan area, and talented people, the driving force for regional development, also gather in the metropolitan area, and the local economy is facing a serious crisis. Local currency is issued by local governments and is a currency with auxiliary and complementary functions that can be used only within the area concerned. In order to revitalize the local economy, as local governments have focused their attention on the introduction of local currency, studies on the issuance and use of local currency are continuously being conducted. In this study, by using big data from data materials such as portals and SNS, the consumer image of local currency issued in local governments was identified through big data analysis, and based on the research results, the issuance and operation of local currency was conducted. The purpose is to present implications for The results of this study are as follows. First, by inducing local consumption through the policy issuance of local currency, it is showing the effect of increasing the economic income of the region. Second, local governments are exerting efforts to revitalize the economy and establish a virtuous cycle system for the local economy by issuing and distributing local currency. Third, the introduction of blockchain technology shows the stable operation of local currency. With academic significance, it was possible to grasp the changed appearance and effect of local currency through big data analysis and the policy direction of local currency.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.93-99
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• 2020

Text mining is one of the big data analysis methods that extracts meaningful information from atypical large-scale text data. In this study, text mining was used to monitor citizens' opinions on the policies and systems being implemented. We collected 5,108 newspaper articles and 748 online cafe posts related to 'Gyeonggi Lacal Currency' and performed frequency analysis, TF-IDF analysis, association analysis, and word tree visualization analysis. As a result, many articles related to the purpose of introducing local currency, the benefits provided, and the method of use. However, the contents related to the actual use of local currency were written in the online cafe posts. In order to revitalize local currency, the news was involved in the promotion of local currency as an informant. Online cafe posts consisted of the opinions of citizens who are local currency users. SNS and text mining are expected to effectively activate various policies as well as local currency.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.61-69
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• 2021

The aim of this paper is to empirically investigate whether and how domestic currency valuation is related to firm-level export competitiveness and profitability by using the unique firm-specific dataset on Bangladeshi nonfinancial firms which have been listed continuously from 2010 to 2018. To achieve the aim of this paper, 63 exporting firms are extracted from a total of 125 firms which have been continuously listed during 2010-2018 and used as the final sample firms. The Pedroni cointegration test reveals that export and import prices of the exporting firms are cointegrated in the short-run as well as long-run. The panel dynamic ordinary least square (DOLS) analysis finds that a firm's export competitiveness is maintained by high import inputs even in the presence of depreciation of Bangladeshi currency against the US dollar. Finally, the DuPont analysis finds that the depreciated Bangladeshi currency enhances an exporter's profitability. Conclusions based on the findings are consistent regardless of exchange rate types, such as, real bilateral exchange rate and nominal or real effective exchange rate indexes. Consequently, the firm-level findings of this investigation suggest that undervalution of home currency is essential for Bangaldesh which is one of the frontier markets in South Asia whose exporting firms are mostly price followers in global markets.

• Journal of Urban Science
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• v.12 no.1
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• pp.35-48
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• 2023

Recently increasing in marketing or policy decision is the trend of reflecting big data, which, however, has yet to be used directly for the location analysis of public facilities in terms of urban planning. This study examined how the local currency big data, issued often recently by municipalities throughout the country, can be used for the decision-making to select the location of public facilities more rationally. It is such an interesting attempt to acquire the big data of local currency payments by local residents and directly apply it to analyzing the location analysis of public facilities they use. The big data of local currencies which are issued by most municipalities now in Korea will continue to extend its role as the public data. Relatively easily available for municipalities with low cost, it is expected to be used for various policy decisions in future. Although the analysis of big data can make more accurate results than conventional survey methods, however, local residents' participation should not be scaled down in policy decisions. Rather, they should be given the findings of this kind of scientific survey so as to extend the citizen-participatory decision-making model.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.43-52
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• 2021

This study is the first to scrutinize how real effective exchange rate, together with the vehicle currency exchange rate, asymmetrically influences the total trade balance between ASEAN (Association of Southeast Asian Nations) and the EU (European Union). This research employs quarterly data between 2000Q1 and 2018Q1, which is derived from several sources. We introduce a method for constructing the double-aggregated real effective exchange rate between ASEAN and the EU that captures the roles of all their currencies. Moreover, we propose the formula to compute vehicle currency exchange rate to assess the importance of vehicle currency in ASEAN-EU trade. Additionally, as asymmetrical impacts of exchange rate on trade balance are well documented by current studies, we employ Nonlinear Autoregressive Distributed Lag (NARDL) model of Shin et al. (2014) to analyze the impacts of currency depreciation as well as appreciation in detail. The findings confirm the prominence of USD as vehicle currency in ASEAN-EU trade. Both depreciation and appreciation of ASEAN's currencies against USD can foster ASEAN's trade balance in the long run. Short-run asymmetrical impacts as well as J-curve effect are found in the vehicle currency models only. The results are robust for the cases of EU-28 and EU-27.

• Journal of Distribution Science
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• v.21 no.12
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• pp.127-140
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• 2023

Purpose: In a situation where the local economy and alley economy are stagnant, efforts to revitalize the role of small business owners need a virtuous cycle system through consumers' consumption power, not just cash support. Research design, data, and methodology: The study site focuses on Daedeok-gu, the first to introduce local currency as a policy. In the case of the store survey, 254 stores out of 300 stores registered with local currency were analyzed, and the consumer survey was conducted on 1,394 out of 1,500 local people using local currency. Statistical analysis was performed using the SPSS. Result: As a result of time-series checking whether local economic activities are carried out smoothly due to the nature of the local currency, the average daily sales of Daedeok-gu increased by 388,980won compared to 2019. This proved through empirical research in the region that local currency played a priming role in bringing opportunities and rehabilitation to the local commercial districts and small business owners. Conclusions: In the monetary function of simply buying and selling value through payment, points supported as incentives can be used as local currency while inducing direct participation in solving social problems, and the concurrent effect of causing problem-solving and regional economic vitality began to sprout.

• Convergence Security Journal
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• v.18 no.3
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• pp.45-51
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• 2018

Recently, Crypto currency has evolved along with Blockchain technology and the voice of concern and concern of many people. Global nations that consider the use of Crypto currency are prudent in their protection of their economies due to legal regulations and institutional arrangements, and are watching the trends of various Crypto currency. Among them, Crypto currency is very popular because it can acquire money through cryptographic computation. However, there is a need to consider the impact of high-quality computing resources and the consumption of many electrical energy on global warming. Therefore, this study investigated the calculation of electric energy consumption and Carbon Dioxide Emissions, data and cases related to the mining of Crypto currency, examined variable factors. This will be used as research data that will respond to the 4th industrial revolution, such as the presentation of a more positive development direction of Crypto currency, and the development of various related technologies.

• Journal of Distribution Science
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• v.11 no.10
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• pp.55-62
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• 2013

Purpose - The purpose of this study is to suggest a risk factor that significantly explains foreign currency risk premia. In recent years, some studies have found that the performance of the simultaneous consumption risk model improves considerably when tested on foreign currency portfolios, which are constructed based on the international interest rates differentials. However, this paper focuses on the long-run consumption risk factor. In our empirical research, we found that the real excess returns of high interest rate currency portfolios depreciate on average, when the future American long-run consumption growth rate appears low. This makes the high interest rate currency portfolios have relatively high risk premia. Meanwhile, the real excess returns of low interest rate currency portfolios appreciate on average, under the same conditions, which results in relatively low risk premia for these portfolios. Therefore, this long-run consumption risk factor might explain why low interest rate currencies do not appreciate as much as the interest rate differential, and why high interest rate currencies do not depreciate as much as the interest rate differential. Research design, data, methodology - In our explanation, we provide new evidence on the success of long-run consumption risks in currency risk premia by focusing on the long-run consumption risks borne by American representative investors. To uncover the hidden link between exchange rates and long-run consumption growth, we set the eight currency portfolios as our basic assets, which have been built based on the foreign interest rates of eighty countries. As these eight currency portfolios are rebalanced every year, the first group always contains the lowest interest rate currencies, and the last group contains the highest interest rate currencies. Against these basic eight currency portfolios, we estimate the long-run consumption risk model. We use recursive utility framework and the stochastic discount factor that depends on the present value of expected future consumption growth rates. We find that our model is optimized in the two-year period of constructing the durable consumption expectation factor. Our main results surprisingly surpass the performance of the existing benchmark simultaneous consumption model in terms of R², relatively risk aversion coefficient γ, and p-value of J-test. Results - The performance of our model is superior. R², relatively risk aversion coefficient γ, and p-value of J-test of our long-run durable consumption model are 90%, 93%, and 65.5%, respectively, while those of EZ-DCAPM are 87%, 113%, and 62.8%, respectively. Thus, we can speculate that the risk premia in foreign currency markets have been determined by the long-run consumption risk. Conclusions - The aggregate long-run consumption growth risk explains a large part of the average change in the real excess returns of foreign currency portfolios. The real excess returns of high interest rate currency portfolios depreciate on average when American long-run consumption growth rate is low, and the real excess returns of low interest rate currency portfolios appreciate under the same conditions. Thus, the low interest rate currency portfolios allow investors to hedge against aggregate long-run consumption growth risk.

• Journal of Korea Port Economic Association
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• v.31 no.2
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• pp.103-114
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• 2015

The exchange rate volatility during the global financial crisis in 2007-2009 led Korean shipbuilding companies to face currency risk. The use of foreign currency derivatives to take a risk in financial exposure affects them significantly. This research analyzes how the use of foreign currency derivatives affects the Korean shipbuilding industry in relation to its foreign sales by company type and over time, especially before and after the crisis period. It is based on statistical data presented by KOSHIPA and KOSIC in 2001-2014. The results of the analysis show that there is a significant relationship between foreign currency derivatives and foreign currency exposure for all firm sizes and years, but no relationship between them overtime.