• Journal of Industrial Convergence
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• v.20 no.6
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• pp.135-140
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• 2022

In the domestic stock market, the capital market opened in January 1992, and the proportion of foreign capital has steadily increased, accounting for 30% of the domestic market in Overall stock market trend infers that the domestic stock market is more influenced by foreign issues than domestic issues. The trading trend of foreign capital displays a similar flow to exchange rate fluctuations,; thus, preparing an investment strategy by using the Pearson analyzing method the effect of exchange rates of foreign capital trading, fluctuations in exchange rates, and predicting one of the macroeconomic indicators will yield high returns in the stock market. Therefore, this research was conducted to help investment by predicting foreign variables comparing and analyzing exchange rates and foreign capital trading patterns, and predicting appropriate time for buying and selling.

• Journal of Korea Trade
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• v.24 no.8
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• pp.63-80
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• 2020

Purpose - Recent empirical studies have shown that FDI is expected to be strongly associated with democratic governance, political stability, and sound macroeconomic conditions of the host country. We attempt to take it a step further to see if governments implement a major change in institutional characteristics, will the institutional reform toward better governance have a substantive effect in enhancing FDI inflows. This paper thus aims to analyze the importance of good governance as an important factor in the attractiveness of FDI inflows in ASEAN+3 (Korea, China, Japan) countries. Design/methodology - To determine the effects of good governance on FDI inflows across ASEAN+3 countries recorded between 1996-2018, the Worldwide Governance Indicators (WGI) are used to investigate the impact of good governance on FDI inflows. The model has been estimated by using fixed effects to show the robustness of the results. Findings - Our main findings can be summarized as follows: Political Stability, Rule of Law, and Voice and Accountability have a statistically significant impact on the inflow of FDI in the ASEAN+3 Countries, especially for Korean economy. Moreover, GDP growth continue to exert their positive influence. However, Regulatory Quality, Government Effectiveness and Control of Corruption, though equally important, are insignificant to attract FDI inflows. The key finding is that good governance has a significant impact on inward FDI in the ASEAN+3 countries. Originality/value - Existing studies focus on the impact of political factors on FDI across countries. This paper instead attempts to investigate which type of good governance is the most important in promoting FDI inflows across ASEAN+3 countries, which is essential for multinationals to consider when choosing a foreign site as a possible FDI destination.

• Journal of Korea Trade
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• v.24 no.1
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• pp.146-170
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• 2020

Purpose - This paper addresses the concepts of FDI-Trade-Growth nexus in Myanmar's economy and empirically investigates the interrelationships of trade, investment and economic growth to reveal the growth model of Myanmar's economy. Additionally, this paper also addresses the cooperative strategies between Myanmar and South Korea through a case study related to South Korea's economic growth. Design/methodology - Our empirical model considers the interrelationship among FDI, trade, growth, labor force and inflation in Myanmar. This study employs ARDL (Autoregressive Distributed Lag) to conduct an analysis of the FDI-Trade-Growth relationships using the time series data from 1970 to 2016 and a conducted case study of South Korea provided for practical implication on cooperative strategies between Myanmar and Korea. Findings - Export equation was chosen through the diagnostic tests. Our main findings can be summarized as follows: Export in Myanmar is positively influenced by labor force, FDI, capital formation and negatively impacted by import and instable inflation rate in the long run. In the short run, GDP and import positively influence export. The Granger causality test proves that Myanmar is an FDI/labor force-led Growth economy, where FDI and labor force are main drivers of export followed by GDP in Myanmar. The case study of South Korea provided that Korea's tax and credit system for promoting export-led FDI industries and cooperative units for joint ventures between Korea and Myanmar in export-led FDI industries are recommended. Originality/value - No study has yet to be conducted on the interrelationships of macroeconomic factors from the perspectives of FDI-Trade-Growth Nexus in Myanmar under the assumption of labor force and inflation rate as fundamental conditions. The current study also covered a relatively longer period of time series data from 1970 to 2016. This paper also conducts a case study of South Korea's experience in order to evaluate the findings and provide better policy implications.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.604-610
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• 2021

Human capital is the defining value of the national economy under market conditions. The manifestation of human capital is realized as an intellectual and creative capital, theoretically grounded and proven. The realization of intellectual capital is realized through the research creativity of scientists and researchers, and creative capital is manifested through artists and thinkers. Accordingly, creativity in market conditions forms a separate source of income and is an essential article in the formation of the GDP of the national economy. This research aims to analyze human capital from the perspective of cultural and creative industries. Research methods: systematization; comparative analysis of individual indicators of advanced countries of the world on the training system; statistical, taking into account macroeconomic indicators to assess the level of national creativity potential; system and logical analysis; method of information synthesis. Research results. The structural and quantitative composition of the factors of intellectual and creative capital formation has been systematized. The article proves that the unique properties of human capital, knowledge, creativity, experience and professional skills are the push factors of creativity development of the national economy and provide the priority development of creative and cultural industry that allows generating the added value on the national scale. The functions of creativity in the sphere of cultural industries are highlighted. It is noted that education and creativity of both intellectual and creative capital are the forming basis. The research of the world's advanced countries on the creativity index has pointed out the Netherlands as the leading country in the quantitative measurement of creativity. The economic development factors of the Netherlands were analyzed from the position of economic creativity, which allowed the formation of a two-factor model providing priority development of creativity in the cultural and creative industries.

• Journal of Navigation and Port Research
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• v.46 no.4
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• pp.385-391
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• 2022

In this study, a multivariate time series analysis was conducted to identify various variables that impact ocean freight rates in addition to supply and demand factors. First, we used the ClarkSea Index, Clarksons Average Bulker Earnings, and Clarksons Average Tanker Earnings provided by the Shipping Intelligence as substitute variables for the dependent variable, ocean freight. The following ndependent variables were selected: World Seaborne Trade, World Fleet, Brent Crude Oil Price, World GDP Growth Rate, Industrial Production (IP OECD) Growth Rate, Interest Rate (US$ LIBOR 6 Months), and Inflation (CP I OECD) through previous studies. The time series data comprise annual data (1992-2020), and a regression analysis was conducted. Results of the regression analysis show that the World Seaborne Trade and Brent Crude Oil P rice impacted the ClarkSea Index. Only the World Seaborne Dry Bulk Trade impacted the Clarksons Average Bulker Earnings, World Seaborne Oil Trade, Brent Crude Oil Price, IP, and CP I on the Clarksons Average Tanker Earnings.

• Economic Analysis
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• v.26 no.2
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• pp.43-71
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• 2020

This paper aims to derive macroeconomic implications by analyzing the business cycle characteristics of the youth unemployment. The results of empirical analysis seem to show that youth unemployment appears to be relatively less correlated with business cycle compared to other age groups, and thus it is difficult to explain the recent steady increase in the potential labor force as a result of the business cycle fluctuation alone. Moreover, the alternative unemployment measures of the youth group showing upward trend were estimated to be co-integrated with output measures. This co-integrated trend increase suggests that unlike other age groups, youth may be influenced by structural factors inherent in Korea's economic growth path. The fact that the wage difference based on firm size has widened steadily since the Asian financial crisis and that the proportion of large companies that provide relatively high-quality jobs compared to major industrialized countries is significantly lower may be the evidence of the structural changes in Korean youth labor market. The results of above analysis may explain why the job search periods for youth has lengthened amid these structural changes.

• Economic Analysis
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• v.26 no.3
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• pp.1-47
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• 2020

This paper surveys research since the 1990s on the ability of the yield spread and its components (i.e., expectation spread and term premium components) for future economic activity, and also conducts an empirical analysis of their forecasting ability using the yield data of Korean government bonds. This paper's survey, particularly for the US, shows that the yield spread has significant predictive power for some macroeconomic variables, but since the mid-1980s, its predictive power seems to have declined, possibly due to stronger inflation targeting. Next, this paper's empirical analysis using Korean data indicates that the yield spread, and the term premium component in particular, has significant predictive power for industrial production (IP) growth, consumer price index growth, and the IP gap. An out-of-sample analysis shows that the prediction equations are unstable over time, and that in predicting IP growth, the yield spread decomposition makes a significant contribution to the prediction of IP growth.

• Korean Journal of Legislative Studies
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• v.26 no.3
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• pp.85-123
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• 2020

Under representative democracy, members of the National Assembly exercise their authority to propose, enact, and revise bills on behalf of the people, and the legislation of such lawmakers has a great impact on individuals and society. There exist criticisms that the quality of legislator-sponsored bills has not improved while the number of them has been expanding recently. This study examines the type, productivity, and efficiency of legislation in the 17~19th National Assembly, and empirical analysis is conducted on how the lawmaker's legislations respond to election-related variables such as voter turnout and election competition. The results show that legislator-sponsored bills are mainly produced in the area of governance, finance, macroeconomic policy, social welfare, and health. The number of legislator's proposals increases, while the passing rate decreases, and the processing period extends. Constituents' participation in voting has been shown to enhance legislative efficiency. Based on the results, the paper emphasizes the enhancement of transparency in the legislative process, the improvement of the people's political knowledge, and the revitalization of election functions for the improvement of parliamentary legislation.

• Korea Trade Review
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• v.45 no.2
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• pp.229-262
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• 2020

The price-to-earnings ratio (PER) is an important indicator to measure the stock price and profitability of a firm; it is also the most used valuation indicator among investors. When using the PER to compare the investment values of different stocks, these stocks must come from the same sector. This study mainly focuses on the China's listed manufacturing firms. By learning from previous research results and analyzing the current situation, we studied the correlation between the manufacturing sector's PER and its influencing factors from both macro and micro perspectives, the combination of which eventually sheds light on such correlation. Analyzing GDP growth rate data, Manufacturing Purchasing Managers' Index, and other macroeconomic variables from 2008 to 2018, we conclude that these variables jointly have a certain impact on the average PER of the manufacturing sector. We then form panel data based on relevant (2014-2018) data gathered from 317 of China's A-listed manufacturing firms to study the impact of micro-variables on PER. By using Stata and other software to analyze the panel data, we reach the conclusion that the Debt to Asset Ratio, Return on Equity, EPS growth rate, Operating Profit Ratio, Dividend Payout Ratio, and firm size have a significant impact on PER. The Current Ratio, Treasury Stock ratio and Ownership Concentration have no distinct effect on PER. Based on our empirical findings, we design a theoretical model that affects the PER.

• The Korean Journal of Applied Statistics
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• v.37 no.2
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• pp.255-263
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• 2024

GDP represents the total market value of goods and services produced by all economic entities, including households, businesses, and governments in a country, during a specific time period. It is a representative economic indicator that helps identify the size of a country's economy and influences government policies, so various studies are being conducted on it. This paper presents a GDP growth rate forecasting model based on a dynamic factor model using key macroeconomic indicators of G20 countries. The extracted factors are combined with various regression analysis methodologies to compare results. Additionally, traditional time series forecasting methods such as the ARIMA model and forecasting using common components are also evaluated. Considering the significant volatility of indicators following the COVID-19 pandemic, the forecast period is divided into pre-COVID and post-COVID periods. The findings reveal that the dynamic factor model, incorporating ridge regression and lasso regression, demonstrates the best performance both before and after COVID.