• Title/Summary/Keyword: Paper Currency Design

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The China's Exchange Rate Policy to Export Competition

  • Lee, Dong-Hae;Lee, Sang-Ki
    • The Journal of Industrial Distribution & Business
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    • v.8 no.2
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    • pp.5-10
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    • 2017
  • Purpose - The purpose of this paper was to analyze the Chinese government's announcement of the RMB's appreciation on July 1, 2010, and its aim was to ascertain whether the appreciation has affected Chinese export prices by empirically measuring the degree of the exchange rate pass-tough on those prices. Research design, data, and methodology - Using 73 HS trade categories with cross-industry and time-series data, the panel estimation of a fixed-effects model has been applied to measure the degree and stability of any exchange rate pass-through effects. The estimation results show that the export prices of most trade categories were affected by the exchange rate changes. The pass-through effect was generally small, at about -0.485, and statistically significant in most export prices. Results - The empirical results indicate that China would lose its advantage and competitiveness in export if the RMB were appreciated continuously and rapidly because its export goods would no longer operate under strong monopolistic competition. Conclusions - The implications for China's exchange rate policy suggest that it would be better for the RMB to appreciate slowly and gradually rather than radically. It is clear that it would be allow the capital free flow in Chinese overall economic interest to reduce the continuous appreciation pressure on the currency and pave the way for improvements in export distribution competitiveness.

A Study of Game Money Control in Online Games (온라인게임의 게임통화 관리모델 연구)

  • Shin, Jeong Yeop
    • Journal of Korea Game Society
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    • v.13 no.5
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    • pp.5-18
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    • 2013
  • The Management of Game Money in online game is considered as a crucial factor for successful game business as well as balancing game economy. The generation and flow of game money have a strong relationship with game contents, entertainment factors, game planning and level design. This paper explores online game economy in various ways especially the matter about managing & controlling game money in this context through theoretical and practical perspectives. It also examines how this management makes an effect on 'Free to Pay' policy and Sales revenue. Finally, this paper draws conclusions about the Management of Game Money which can be considered to be practically useful for game development and management. I hope that the study helps further studies and researches and can be served as a foundation regarding the issue.

A Study on the Verification of Air Cleaning Unit for Engine of Tracked Vehicle (궤도차량 엔진용 공기정화기 검증에 관한 연구)

  • Yi, Il-Lang;Kim, Sang-Boo
    • Journal of the Korean Society of Industry Convergence
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    • v.23 no.3
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    • pp.445-452
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    • 2020
  • The air cleaning unit of K00 IFV(or Infantry Fighting Vehicle) has important roles to make sure the engine of the vehicle works precisely as filtering foreign substances in the air such as dust and sands. The entire components including scavenge fan which is one of the important inner part of the air cleaning unit are developed so that we can produce it domestically and don't need to import it from P⁎⁎ Co., the original maker in United Kingdom. This paper introduces a few verification processes including cleaning efficiency and reliability. As this core unit has developed successfully the improvement of military strength and logistics support can be expected. And design capability, manufacturing skills, maintenance ability of tracked weapon system will be increased thanks to the accumulated technical knowledge obtained from this developing project. Foreign currency savings and reducing operational cost can be expected as well in military industry.

A Legal and Policy Analysis of KRW Internationalization from the Perspective of Offshore Circulation

  • Son, Sam-Ho
    • Journal of Distribution Science
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    • v.11 no.3
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    • pp.23-29
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    • 2013
  • Purpose - Recently, the Korean government is seeking to internationalize KRW and reduce its heavy reliance on the U.S. dollar and better cope with risks from external turbulence. However, there has been too little study on this subject in comparision with its importance. The main objective of the paper is to distinguish the descrete stages of the KRW internationalization and recognize the costs and benefits of each stage. Research design, data, methodology - In order to achieve its goal, this study accomplishes a formal policy analysis based on potential factors of currency internationalization and an examination of legal practices in relation to Foreign Exchange Transaction Regulation (the Regulation). Results - This study found that securing monetary policy may not be easy under liberalized capital account for a small open economy like Korea in view of the trillema. In addition, the inherent ambiguity of the Regulation may increase the costs of KRW internationalization. Conclusions-This study revealed the negative system for the control of foreign exchange of the Korean government. The excessive regulatory restrictions on foreign exchange may hinder the process of KRW internationalization. Some legal and policy reforms are needed to improve related regulation and infrastructure.

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Automated Classification of Unknown Smart Contracts of Ethereum Using Machine Learning (기계학습을 활용한 이더리움 미확인 스마트 컨트랙트 자동 분류 방안)

  • Lee, Donggun;Kwon, Taekyoung
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.28 no.6
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    • pp.1319-1328
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    • 2018
  • A blockchain system developed for crypto-currency has attractive characteristics, such as de-centralization, distributed ledger, and partial anonymity, making itself adopted in various fields. Among those characteristics, partial anonymity strongly assures privacy of users, but side effects such as abuse of crime are also appearing, and so countermeasures for circumventing such abuse have been studied continuously. In this paper, we propose a machine-learning based method for classifying smart contracts in Ethereum regarding their functions and design patterns and for identifying user behaviors according to them.

A Study on the Prediction of Number of Bitcoin Network Transactions Based on Machine Learning (기계학습 기반 비트코인 네트워크 트랜잭션 수 예측에 관한 연구)

  • Ji, Se-Hyun;Baek, Ui-Jun;Shin, Mu-Gon;Park, Jun-Sang;Kim, Myung-Sup
    • KNOM Review
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    • v.22 no.1
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    • pp.68-76
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    • 2019
  • Bitcoin, based on the blockchain technology is an online crypto-currency developed by Satoshi Nagamoto. Bitcoin, which was first issued on January 3, 2009, is rapidly evolving with increasing number of transactions. However, untoward incidents are occurring due to an increase in the number of Bitcoin transactions. Predicting the number of Bitcoin transactions is important to prepare for any issues that can occur in the Bitcoin network. This paper proposes to design model for predicting the number of Bitcoin transactions by applying two machine learning algorithms and then a model for predicting the number of Bitcoin transactions through experiments.

Long Memory and Market Efficiency in Korean Futures Markets (국내 선물시장의 장기기억과 시장의 효율성에 관한 연구)

  • Cho, Dae-Hyoung
    • Asia-Pacific Journal of Business
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    • v.11 no.4
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    • pp.255-269
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    • 2020
  • Purpose - This paper analyzes the market efficiency focusing on the long memory properties of the domestic futures market. By decomposing futures prices into yield and volatility and looking at the long memory properties of the time series, this study aims to understand the futures market pricing and change behavior and risks, specifically and in detail. Design/methodology/approach - This study analyzes KOSPI 200 futures, KOSDAQ 150 futures, 3 and 10-year government bond futures, US dollar futures, yen futures, and euro futures, which are among the most actively traded on the Korea Exchange. To analyze the long memory and market efficiency, we used the Variance Ratio, Rescaled-Range(R/S), Geweke and Porter-Hudak(GPH) tests as semi- parametric methods, and ARFIMA-FIGARCH model as the parametric method. Findings - It was found that all seven futures supported the efficiency market hypothesis because the property of long memory turned out not to exist in their yield curves. On the other hand, in futures volatility, all 7 futures showed long memory properties in the analysis, which means that if new information is generated in the domestic futures market and the market volatility once expanded due to the impact, it does not decrease or shrink for a long period of time, but continues to affect the volatility. Research implications or Originality - The results of this paper suggest that it can be useful information for predicting changes and risks of volatility in the domestic futures market. In particular, it was found that the long memory properties would be further strengthened in the currency futures and bond rate futures markets after the global financial crisis if the regime changes of the domestic financial market are taken into account in the analysis.

Investigating the Interaction Between Terms of Trade and Domestic Economy: In the Case of the Korean Economy

  • Han, Yongseung;Kim, Myeong Hwan;Nam, Eun-Young
    • Journal of Korea Trade
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    • v.25 no.1
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    • pp.34-46
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    • 2021
  • Purpose - This paper aims to analyze the impact of the terms of trade, export price, and import price on the Korean economy (that is, real GDP, CPI, money market rate, and real effective exchange rate), and vice versa in the simple vector autoregression. Design/methodology - We impose two assumptions, i.e., diagonality and bloc exogeneity, to correctly identify the impact of a factor to the others in the structural equation. With two contemporaneous assumptions in the structural VAR, this paper investigates the impacts of the terms of trade on the Korean economy and vice versa. Findings - Impulse responses to the shocks in the terms of trade and Korean economy show that 1) an impact of the terms of trade on the economy is different in export prices and in import prices. A higher export price is beneficial to the economy while a higher import price hurts the economy, and 2) an increase in real effective exchange rate and in interest rate constrains domestic production and lowers consumer prices. Originality/value - Unlike the conventional perception that a depreciation of a currency would promote exports and domestic production at the price of inflation, our result shows the opposite, and 3) real GDP and consumer prices are positively correlated. That is, an increase in real GDP does not only cause inflation, but an increase in consumer prices also promote domestic production. Yet, the only difference is that export prices and import prices end up higher with an increase in real GDP, but lower with inflation.

Rare Disaster Events, Growth Volatility, and Financial Liberalization: International Evidence

  • Bongseok Choi
    • Journal of Korea Trade
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    • v.27 no.2
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    • pp.96-114
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    • 2023
  • Purpose - This paper elucidates a nexus between the occurrence of rare disaster events and the volatility of economic growth by distinguishing the likelihood of rare events from stochastic volatility. We provide new empirical facts based on a quarterly time series. In particular, we focus on the role of financial liberalization in spreading the economic crisis in developing countries. Design/methodology - We use quarterly data on consumption expenditure (real per capita consumption) from 44 countries, including advanced and developing countries, ending in the fourth quarter of 2020. We estimate the likelihood of rare event occurrences and stochastic volatility for countries using the Bayesian Markov chain Monte Carlo (MCMC) method developed by Barro and Jin (2021). We present our estimation results for the relationship between rare disaster events, stochastic volatility, and growth volatility. Findings - We find the global common disaster event, the COVID-19 pandemic, and thirteen country-specific disaster events. Consumption falls by about 7% on average in the first quarter of a disaster and by 4% in the long run. The occurrence of rare disaster events and the volatility of gross domestic product (GDP) growth are positively correlated (4.8%), whereas the rare events and GDP growth rate are negatively correlated (-12.1%). In particular, financial liberalization has played an important role in exacerbating the adverse impact of both rare disasters and financial market instability on growth volatility. Several case studies, including the case of South Korea, provide insights into the cause of major financial crises in small open developing countries, including the Asian currency crisis of 1998. Originality/value - This paper presents new empirical facts on the relationship between the occurrence of rare disaster events (or stochastic volatility) and growth volatility. Increasing data frequency allows for greater accuracy in assessing a country's specific risk. Our findings suggest that financial market and institutional stability can be vital for buffering against rare disaster shocks. It is necessary to preemptively strengthen the foundation for financial stability in developing countries and increase the quality of the information provided to markets.

The Potential and Efficiency of Aquatic Product Trade between China and South Korea

  • Le Cao
    • Journal of Korea Trade
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    • v.27 no.2
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    • pp.47-60
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    • 2023
  • Purpose - This paper assesses the trade potential and efficiency of Korea and China in the aquatic products trade. Trade efficiency and potential are the main factors that affect the growth of a country's trade. In this study, a time-varying stochastic frontier trade gravity model was constructed to analyze the trade potential and efficiency between Korea and China. By integrating the results of trade theory and empirical analysis, measures and suggestions were proposed to encourage the release of trade potential of fish exports between Korea and China. Design/methodology - In this paper, GDP per capita instead of economic size was chosen as an explanatory variable, and population size and relative distance were selected as explanatory variables to measure trade potential. For trade non-efficiency terms, regional organizations, political factors, and economic factors were mainly considered, and variables such as free trade agreements, political stability, regulatory quality, government efficiency, currency freedom, investment freedom, financial freedom, and trade freedom were selected. Panel data for South Korea and 14 aquatic products trading partners (including China) from 2002 to 2020 were used in the empirical analysis. Findings - In the past 19 years, South Korea's export trade potential of aquatic products to China has never been lower than 70%. It was above 90% from 2006 to 2018, and has been at a high level for a long time. This shows that China's aquatic product market has large potential for development. Originality/value - This study examines the effectiveness and potential of South Korea's exports of aquatic items to China in a methodical and comprehensive empirical manner. The evaluation of the export trade potential of South Korea's aquatic goods to China is more precise when the effects of regional organization, political, and economic variables are taken into account in the trade non-efficiency term of the stochastic frontier gravity model. At the same time, we propose to increase the scale of South Korea's aquatic products trade from the perspective of China's demand. This issue of trade studies is underexplored both empirically and in theory, although the issue has long been important to Korean and world trade.