• Title/Summary/Keyword: 거시 경제변수

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CGE Analysis of the US-China Trade War and Policy Implications to the World Trade (미-중 무역분쟁의 경제적 효과와 세계경제 함의)

  • Song, Back-Hoon;Lee, Chang-Soo
    • Korea Trade Review
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    • v.43 no.5
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    • pp.47-66
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    • 2018
  • This study analyzes the potential economic effects of a trade war between the U.S. and China. The CGE model is used to estimate the macroeconomic variables of each country and the change in imports/exports by industry by considering three different scenarios: (i) the US imposes a 25% of tariff on China; (ii) the US and China impose a 25% tariff bilaterally; (iii) the United States expands protection in vehicles and metals to Korea, Japan, and the EU. According to the results of the study, when the US and China initiate a trade war, GDP and welfare of both countries decline. China's decline in GDP and welfare are larger than those of the United States, which implies a trade war is more favorable to the U.S. than to China. In the long run, China's GDP and welfare decline widens further. While the trade volumes of the US and China are greatly reduced, the trade volumes of other countries does not significantly fluctuate. Finally, if the US extends protection policy to Korea, Japan and the EU, it creates undesirable effects on the US. In particular, damage to the US jeopardizes its advantageous position in a trade war with China. In order to emphasize the unfairness of protectionist policy and the damage to Korean industry, Korea needs to establish a strategy to counter US protectionist policy.

The Economic Cycle and Contributing Factors to the Operating Profit Ratio of Korean Liner Shipping (경기순환과 우리나라 정기선 해운의 영업이익률 변동 요인)

  • Mok, Ick-soo;Ryoo, Dong-keun
    • Journal of Navigation and Port Research
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    • v.46 no.4
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    • pp.375-384
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    • 2022
  • The shipping industry is cyclically impacted by complex variables such as various economic indicators, social events, and supply and demand. The purpose of this study was to analyze the operating profit of 13 Korean liner companies over 30 years, including the financial crisis of the late 1990s, the global financial crisis of the late 2000s, and the COVID-19 global pandemic. This study was conducted to also identify factors that impacted the profit ratio of Korea's liner shipping companies according to economic conditions. It was divided into ocean-going and short-sea shipping, reflecting the characteristics of liner shipping companies, and was analyzed by hierarchical multiple regression analysis. The time series data are based on the Korean International Financial Reporting Standards (K-IFRS) and comprise seaborne trade volume, fleet evolution, and macroeconomic indicators. The outliers representing the economic downturn due to social events were separately analyzed. As a result of the analysis, the China Container Freight Index (CCFI) positively impacted ocean-going as well as short-sea liner shipping companies. However, the Korean container shipping volume only impacted ocean-going liners positively. Additionally, world and Korea's GDP, world seaborne trade volume, and fuel price are factored in the operating profit of short sea liner shipping. Also, the GDP growth rate of China, exchange rate, and interest rate did not significantly impact both groups. Notably, the operating profitability of Korea's liner shipping shows an exceptionally high rate during the recessions of 1998 and 2020. It is paradoxical, and not correlated with the classical economic indicators. Unlike other studies, this paper focused on the operating profit before financial expenses, considering the complexity as well as difficulty in forecasting the shipping cycle, and rendered conclusions using relatively long-term empirical analysis, including three economic shocks.

A Study on Determinants of the Number of Banking Relationships in Korea: Firm-specific Determinants and Effects of Business Cycle (우리나라 기업의 거래은행 수 결정요인에 관한 연구: 경기변동의 영향을 포함하여)

  • Hwang, Soo-Young;Lee, Jung-Jin
    • Management & Information Systems Review
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    • v.36 no.4
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    • pp.53-80
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    • 2017
  • The purpose of this study is to examine the determinants of the number of bank relationships in Korea. Firm-specific determinants considered here include leverage, size, age, return on asset, investment grade, tangibility, liquidity, R&D expenditure. We estimate the effects of these variables, and compare the results with those from previous studies performed for other economies. Concerning the effects of business cycle, we find that the business cycle is an important factor in determining the number of bank relationships. The number of bank relationships varies over the business cycle, and we notice a counter-cyclical behavior, which means the number decreases during economic expansions and increases during contractions. This result can be interpreted as a result of firms' diversification of borrowings into multiple banks in order to reduce the liquidity risk during the recession. In the subsets, however, the number of bank relationships for large firms is stable regardless of the business cycle. Unlisted firms, non-chaebol, and low credit quality firms which have relatively limited access to alternative sources of financing show counter-cyclical behavior. Finally, such phenomena is not observed in the non-competitive credit market, while they show a counter-cyclical behavior in the competitive credit market.

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전기요금(電氣料金) 변동(變動)의 국민경제적(國民經濟的) 효과(效果) 분석(分析)

  • Han, Jin-Hui;Yu, Si-Yong
    • KDI Journal of Economic Policy
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    • v.19 no.3
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    • pp.195-246
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    • 1997
  • 우리나라에서 전기요금은 공공요금으로서 정부의 정책의지에 의하여 크게 영향을 받아왔다. 또한 전기요금수준 조정시 규제당국의 주된 관심은 요금인상이 국민경제에 미치는 영향, 특히 물가 및 무역수지에 미치는 영향에 있었다고 할 수 있다. 이러한 상황에서 전기요금변동의 국민경제적 영향에 대한 신뢰할 수 있는 분석결과는 올바른 정책수립에 필수적이라고 할 수 있다. 본고는 계산가능한 일반균형모형(Computable General Equilibrium model)을 이용하여 1993년도의 산업연관표를 토대로 전기요금의 인상이 물가, 수출입 등 거시변수에 미치는 효과 및 산업부문별 효과를 살펴본 것이다. 전기요금인상이 물가에 미치는 영향은 간단히 '전기요금인상률${\times}$물가가중치'라는 공식으로 계산해볼 수 있다. 이에 따르면 전기의 소비자물가 가중치가 14/1,000이므로 전기요금인상률이 4%일 때 소비자물가상승률은 약 0.056%가 된다. 그러나 전기가 타산업의 중간투입물로 사용되므로 전기요금인상은 타산업 산출물의 가격상승을 유발하고 다시 투입-산출관계에 의하여 추가적인 물가상승을 불러일으키게 된다. 이러한 일반균형적 효과를 모두 고려하여, 본 연구에서 계산한 소비자물가상승률은 0.083%로서 위 수치의 약 1.5배이다. 또한 본고에서는 전기요금인상에 따라 수출과 수입 모두 감소하되, 수출감소율이 수입감소율보다 크게 나타났다. 이러한 결과는 전기요금인상에 따라 전기수요가 감소하여 에너지수입이 감소하고, 그로 인해 무역수지가 개선되리라는 일부의 주장과는 매우 대조적이다. 산업별로는 전기요금인상에 따라 서비스업의 가격상승이 두드러지는 것으로 나타났는데, 이는 서비스업부문의 국내재와 수입재간의 대체가능성이 타부문에 비하여 크게 낮은 데 기인한 것으로 보인다. 본고의 결과를 전기요금이 인상되어서는 안 된다고 해석하는 것은 오류일 수 있다. 전기요금인상의 타당성은 전력산업에 대한 종합적인 미시적 분석에 기초하여야 한다.

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The Effect of Changes in Real Estate Prices on the Soundness of Korean Banks (부동산가격변동이 은행의 건전성에 미치는 영향)

  • Jung, Heonyong
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.1
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    • pp.435-440
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    • 2022
  • This study analyzed the impact of changes in real estate prices on the soundness of Korean banks using multiple regression models. As a result of the analysis, changes in real estate prices significantly increase the banks' non-performing loans through the increase in loans. Among macroeconomic variables, short-term interest rates were found to have a significant effect on all soundness indicators such as BIS capital adequacy ratio, non-performing loans ratio, and liquidity coverage ratio. Among the bank characteristics indicators, the loan growth rate had a significant negative effect on BIS capital adequacy ratio, and the real estate mortgage rate had a significant positive effect. In additional, it was found that non-performing loans ratio and liquidity coverage ratio had a negative effect on BIS capital adequacy ratio.

Searching for Growth Engine: For the Firms Belonging to the Chaebol in the Korean Capital Markets (한국 재벌기업들의 성장 동력에 관한 재무적 결정요인 분석)

  • Kim, Hanjoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.12
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    • pp.7134-7147
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    • 2014
  • This study examined one of the contemporary issues that may be interesting to academics and practitioners regarding the driving force of the growth rate for the firms belonging to the chaebols in the Korean capital markets. With respect to the empirical results obtained from two hypothesis tests, the first hypothesis was to identify any financial determinants on the growth rate by applying both dynamic panel data and static panel data models. The debt ratios relevant to the book- and market-value showed their positive relationships with the DV of GROWTH1, along with other significant IDVs such as one-period lagged DV of GROWTH_1, SIZE1 and FOS with statistical significance. Second, by employing conditional quantile regression (CQR) analysis, the control variables, such as ROA, SMARKET, time dummy variable of F2010 and F2011, and the industry dummies of IND3 and IND10, provided evidence of their significant influences on DV of GROWTH1.

A Study about the Real Estate' Policy Impact on house prices (Focusing on the time series analysis and regression) (부동산정책이 주택가격에 미치는 영향에 관한 연구 (시계열분석과 회귀분석 중심으로))

  • Ko, Pill-Song;Park, Chang-Soo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.5 no.2
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    • pp.205-213
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    • 2010
  • This study was to analyze the past regime's real estate policy and the time-series data on real estate price index from 1986 to 2009 in 24 years. Also, the real estate index and macroeconomic variables, the impact on house price index variable conducted to regression analysis and to analyze whether and how much is affected. Analyzed as follows: First, Korea's real estate policy was the post-policy and the past regime's real estate policy was inconsistent with each other. Second, in the normal phase whenever real estate issues, the measures of the strengthening regulation and of the economic recovery were only to repeat periodically. Third, the timing and means of policy enforcement was an inappropriate and Real estate market was getting worse at the time whenever a real estate policies performed. Fourth, The apartments prices index of the housing types rose the highest and were the most popular for 24 years. Increase or decrease the amount of the price index for apartments, Roh Tae-woo(65.0%) - Kim Dae-jung (42.5%) - Roh Moo-hyun (32.8%) were in order. Fifth, the results of the regression analysis carried out: The impact on housing prices among independent variables were followed by Cap Construction- one per capita income - Housing consumer price index - Accompanying Composite Index - Trailing Composite Index - Home subscription Subscriber account - Leading Composite Index.

The Effect of Housing Affordability on Housing Prices Variation in Korea (주택구입능력이 주택가격 변동에 미치는 영향)

  • Heonyong Jung
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.2
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    • pp.113-118
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    • 2023
  • This study analyzed the effects of macroeconomic variables, including housing affordability, and bank loan-related variables on variation in housing prices using multiple regression models. As a result of the analysis, consumer price growth rate, the total currency growth rate, and the housing affordability growth rate had a significant positive effect on changes in housing prices. As a result of analyzing the period of rising and falling housing prices, consumer price growth rate and the total currency growth rate during the period of rising housing prices had a significant positive effect on housing prices. Unlike the period of rising housing prices, the growth rate of household loans was found to have a significant positive effect on changes in housing prices. On the other hand, unlike the period of rising housing prices, the growth rater of mortgage loans was found to have a significant negative effect on changes in housing prices. The growth rate of housing affordability index did not have a significant positive effect on changes in housing prices during a falling housing prices. The determinants of housing prices showed different patterns during the period of rising housing prices and falling housing prices.

Sentiment Analysis of News Based on Generative AI and Real Estate Price Prediction: Application of LSTM and VAR Models (생성 AI기반 뉴스 감성 분석과 부동산 가격 예측: LSTM과 VAR모델의 적용)

  • Sua Kim;Mi Ju Kwon;Hyon Hee Kim
    • The Transactions of the Korea Information Processing Society
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    • v.13 no.5
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    • pp.209-216
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    • 2024
  • Real estate market prices are determined by various factors, including macroeconomic variables, as well as the influence of a variety of unstructured text data such as news articles and social media. News articles are a crucial factor in predicting real estate transaction prices as they reflect the economic sentiment of the public. This study utilizes sentiment analysis on news articles to generate a News Sentiment Index score, which is then seamlessly integrated into a real estate price prediction model. To calculate the sentiment index, the content of the articles is first summarized. Then, using AI, the summaries are categorized into positive, negative, and neutral sentiments, and a total score is calculated. This score is then applied to the real estate price prediction model. The models used for real estate price prediction include the Multi-head attention LSTM model and the Vector Auto Regression model. The LSTM prediction model, without applying the News Sentiment Index (NSI), showed Root Mean Square Error (RMSE) values of 0.60, 0.872, and 1.117 for the 1-month, 2-month, and 3-month forecasts, respectively. With the NSI applied, the RMSE values were reduced to 0.40, 0.724, and 1.03 for the same forecast periods. Similarly, the VAR prediction model without the NSI showed RMSE values of 1.6484, 0.6254, and 0.9220 for the 1-month, 2-month, and 3-month forecasts, respectively, while applying the NSI led to RMSE values of 1.1315, 0.3413, and 1.6227 for these periods. These results demonstrate the effectiveness of the proposed model in predicting apartment transaction price index and its ability to forecast real estate market price fluctuations that reflect socio-economic trends.

A Study on Industries's Leading at the Stock Market in Korea - Gradual Diffusion of Information and Cross-Asset Return Predictability- (산업의 주식시장 선행성에 관한 실증분석 - 자산간 수익률 예측 가능성 -)

  • Kim Jong-Kwon
    • Proceedings of the Safety Management and Science Conference
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    • 2004.11a
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    • pp.355-380
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    • 2004
  • I test the hypothesis that the gradual diffusion of information across asset markets leads to cross-asset return predictability in Korea. Using thirty-six industry portfolios and the broad market index as our test assets, I establish several key results. First, a number of industries such as semiconductor, electronics, metal, and petroleum lead the stock market by up to one month. In contrast, the market, which is widely followed, only leads a few industries. Importantly, an industry's ability to lead the market is correlated with its propensity to forecast various indicators of economic activity such as industrial production growth. Consistent with our hypothesis, these findings indicate that the market reacts with a delay to information in industry returns about its fundamentals because information diffuses only gradually across asset markets. Traditional theories of asset pricing assume that investors have unlimited information-processing capacity. However, this assumption does not hold for many traders, even the most sophisticated ones. Many economists recognize that investors are better characterized as being only boundedly rational(see Shiller(2000), Sims(2201)). Even from casual observation, few traders can pay attention to all sources of information much less understand their impact on the prices of assets that they trade. Indeed, a large literature in psychology documents the extent to which even attention is a precious cognitive resource(see, eg., Kahneman(1973), Nisbett and Ross(1980), Fiske and Taylor(1991)). A number of papers have explored the implications of limited information- processing capacity for asset prices. I will review this literature in Section II. For instance, Merton(1987) develops a static model of multiple stocks in which investors only have information about a limited number of stocks and only trade those that they have information about. Related models of limited market participation include brennan(1975) and Allen and Gale(1994). As a result, stocks that are less recognized by investors have a smaller investor base(neglected stocks) and trade at a greater discount because of limited risk sharing. More recently, Hong and Stein(1999) develop a dynamic model of a single asset in which information gradually diffuses across the investment public and investors are unable to perform the rational expectations trick of extracting information from prices. Hong and Stein(1999). My hypothesis is that the gradual diffusion of information across asset markets leads to cross-asset return predictability. This hypothesis relies on two key assumptions. The first is that valuable information that originates in one asset reaches investors in other markets only with a lag, i.e. news travels slowly across markets. The second assumption is that because of limited information-processing capacity, many (though not necessarily all) investors may not pay attention or be able to extract the information from the asset prices of markets that they do not participate in. These two assumptions taken together leads to cross-asset return predictability. My hypothesis would appear to be a very plausible one for a few reasons. To begin with, as pointed out by Merton(1987) and the subsequent literature on segmented markets and limited market participation, few investors trade all assets. Put another way, limited participation is a pervasive feature of financial markets. Indeed, even among equity money managers, there is specialization along industries such as sector or market timing funds. Some reasons for this limited market participation include tax, regulatory or liquidity constraints. More plausibly, investors have to specialize because they have their hands full trying to understand the markets that they do participate in

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