• 제목/요약/키워드: Granger causality

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KRX건설 주가지수와 기업경기실사지수 간의 선행-후행 관계 (The Lead-Lag Relationship between KRX Construction Index and Business Survey Index)

  • 유한수
    • 토지주택연구
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    • 제14권4호
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    • pp.39-46
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    • 2023
  • 본 연구에서는 'KRX건설 주가지수'와 '건설업 기업경기실사지수' 간의 관계를 분석하였다. 본 연구는 공표된 주가지수를 '추세요소'와 '잡음거래요소'로 분해하여 '주가지수 추세요소'와 '건설업BSI' 간의 관계, '주가지수 잡음거래요소'와 '건설업BSI' 간의 관계에 대해서 분석하였다는 측면에서 기존연구들과 차별을 두었다. Granger 인과관계 검정 결과에서는 '공표된 KRX건설', '추세요소', '잡음거래요소' 모두 '건설업BSI'에 대해 단방향의 Granger 인과관계가 존재함을 보였다. 즉, 추세요소는 건설업BSI를 선행하는 것으로 나타났으며, 주식시장의 일시적 심리적 요소, 과잉 반응 등에 의해 생성되는 '잡음거래요소'도 '건설업BSI'에 대해 선행관계에 있는 것으로 나타났다. 본 연구결과와 같이 건설업 주가지수의 움직임이 건설업 경영자들의 기대심리에 선행한다는 연구결과는 건설업 경영자들의 투자의욕에 주식시장의 움직임이 영향을 준다는 함의를 제시하고 있다.

중국의 국제무역과 경제성장간의 인과관계 및 파급효과 (An Empirical Study on the Causalities and Effects between International Trade and Economic Growth in China)

  • 김종섭
    • 국제지역연구
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    • 제13권1호
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    • pp.55-79
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    • 2009
  • 본 연구는 중국의 국제무역과 경제성장간의 관계를 파악하기 위하여 1950년부터 2007년까지 58개년의 연도별 자료를 사용하였다. 본 연구의 결과는 첫째, 단위근 검정에서 대부분의 수준변수는 단위근이 존재하였으나 차분변수는 단위근이 존재하지 않아 안정적인 시계열로 입증되었다. 둘째, Granger 인과관계 검정결과 1950~2007년과 1978~2007년 기간에서는 수출과 수입 모두 GDP에 영향을 미치고 있고, GDP는 1950~2007년 기간에만 수출과 수입에 영향을 미치는 것으로 나타나 양방향 인과관계가 존재하였으나 기타 변수에서는 영향을 미치지 않았다. 셋째, 공적분 검정에서는 1950~2007년 기간에서 lgdd-linp와 1950~1997년 기간은 모든 관계가 공적분이 존재하지 않아 VAR모형을 적용하고, 나머지 변수간 관계에서는 공적분이 존재하여 VECM을 적용하였다. 분산분해에서는 타 연구들에 비하여 자기변수의 설명력이 상대적으로 낮게 나타났으며, 수입에 대한 분산분해에서는 수출변수의 설명력이 상대적으로 높게 나타났다. 결국 중국의 수출과 경제성장간의 관계는 개혁·개방 이전의 집중성과 계획성을 기준으로 한 계획경제시스템에서 중국식 자본주의적 경제시스템의 도입으로 인하여 무역정책이 변화하면서 이들 간의 관계가 차이를 보이는 것으로 판단된다.

STATISTICAL CAUSALITY AND EXTREMAL MEASURES

  • Petrovic, Ljiljana;Valjarevic, Dragana
    • 대한수학회보
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    • 제55권2호
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    • pp.561-572
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    • 2018
  • In this paper we consider the concept of statistical causality in continuous time between flows of information, represented by filtrations. Then we relate the given concept of causality to the equivalent change of measure that plays an important role in mathematical finance. We give necessary and sufficient conditions, in terms of statistical causality, for extremality of measure in the set of martingale measures. Also, we have considered the extremality of measure which involves the stopping time and the stopped processes, and obtained similar results. Finally, we show that the concept of unique equivalent martingale measure is strongly connected to the given concept of causality and apply this result to the continuous market model.

Impact of Debts on Economic Growth of Bangladesh: An Application of ARDL Model

  • Hossain, Muhammad Amir;Shirin, Shabnam
    • 아태비즈니스연구
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    • 제7권1호
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    • pp.1-10
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    • 2016
  • This study attempts to investigate the effects of different types of debts on economic growth in Bangladesh using time series data spanning from 2000 to 2015. In this study, the RDL model has been applied to determine the long run relationship among the selected variables. The result of the ARDL model shows that there exists a long term relationship between economic growth and the debt variables. It was evident from the findings that there exists bidirectional causality between public sector external debt and economic growth. Causality between private external debt and economic growth has been found to be insignificant. However, causality between domestic debt and economic growth showed a unidirectional causality from domestic debt to economic growth and not vice versa. Causality tests suggest that impact of domestic debt on economic growth is more effective compared to external debts.

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정보통신산업 공공 연구개발(R&D)투자의 파급효과 분석 (Impulse Responses Analysis of Government and Public Sector R&D in IT Industry)

  • 양창준;홍정식;고상원
    • 경영과학
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    • 제25권3호
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    • pp.13-26
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    • 2008
  • We investigate the effect of government and public sector R&D Investment at IT Industry on the amount of Production, export and nongovernment R&D Investment at IT Industry. We, firstly, examine the stationarity of each variable by the unit root t-test and perform the co-integration test for the pairs of variables. We use YECM(Vector Error Correction Model) according to the results of co-integration test for the examination of Granger-causality between variables. It is found that there exist an Granger-causality between public sector R&D Investment and nongovernment R&D investment and also between public sector R&D Investment and export. Secondly, we analyze the impulse response of government and public sector R&D Investment at IT Industry on the amount of production, export and nongovernment R&D investment at IT Industry based on VECM model. It is found that the response of the amount of production is highest at 3th period and is lowest at 8th period and that of export shows similar pattern.

수산업 R&D 사업의 투자효과 분석 : 국립수산과학원 수산시험연구사업을 중심으로 (Analyzing Investment Effects of Fisheries R&D Projects : A Case of NFRDI's R&D Projects)

  • 박경일;김도훈
    • 수산경영론집
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    • 제44권2호
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    • pp.101-109
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    • 2013
  • This study is aimed to analyze investment effects of fisheries R&D projects of the National Fisheries Research and Development Institute(NFRDI). In the analysis, Granger causal relations between R&D investment and fisheries production are tested. In addition, time-lag effects of fisheries R&D investment are estimated with an impulse response analysis and investment effects of R&D projects are estimated by changes of social surplus. Results indicate that there exists an Granger-causality between R&D investment and fisheries production and fisheries production responds to the fisheries R&D shock about three years after the initial shock. The magnitudes of the impacts increase until a peak is reached 5~7 years and the impacts decline to zero after 25 years. As investment effects, it is shown that the internal rate of returns of fisheries R&D investment is 55.2%.

건설업 BSI와 산업생산지수 간의 선후행성 (The Lead-Lag Relationship between BSI and Industrial Production Index in Construction Industry)

  • 유한수
    • 토지주택연구
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    • 제11권3호
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    • pp.33-37
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    • 2020
  • The aim of this paper is to scrutinize the relation between Business Survey Index and Industrial Production Index in construction industry, stated in another way, the relation between CEO's expectations of future business status and real business activity in construction industry. Previous papers on this research area have been examined the relation between released BSI and released IPI. However, this paper focuses 'the relation between released BSI and the long-run component of IPI' and 'the relation between released BSI and the short-run component of IPI'. The first step is to decompose released IPI by unobserved component model. The long-run component of IPI is set up as a random walk process. And short-run component is set up as a stationary AR(1) process. The findings are as follows. First, released BSI Granger causes unidirectionally released IPI. Second, there exists one-way Granger causality from released BSI to long-run component of IPI. Third, Granger causality does not exist between released BSI and 'short-run component of IPI'. BSI increases IPI in the second or third month. These findings of this paper mean that CEO's expectations may influence industrial production in construction industry.

국제 인바운드 관광과 중국내 서비스 산업 GDP간의 인과관계 및 효과에 관한 실증연구 (An Empirical Study on the Causalities and Effects between Inbound Tourism and Service Industry GDP in China)

  • 김종섭
    • 국제지역연구
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    • 제14권3호
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    • pp.363-387
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    • 2010
  • 본 연구는 중국을 여행하는 아시아를 비롯하여 6개 대륙별 국제관광객의 수($TOU_i$)와 서비스 산업 GDP(SGDP)간의 인과관계 및 효과를 파악하기 위함이며, 분석기간은 1980년부터 2008년까지의 2개 변수에 대한 연도별 자료를 사용하였다. 본 연구의 결과를 요약하면 첫째, 모형에 포함된 6개 대륙 2개 변수에 대해 단위근 검정을 실시한 결과 대부분의 수준변수는 단위근이 존재하는 것으로 나타난 반면 차분변수는 단위근이 존재하지 않아 안정적인 시계열로 입증되었다. 둘째,Granger 인과관계 검정결과 6개 대륙 모두 국제관광객 수는 서비스 산업에 영향을 미치지 않은 것으로 나타난 반면 라틴아메리카모형을 제외하고는 모든 모형에서 서비스 산업이 국제관광에 영향을 미치는 것으로 나타나 서비스 산업 변수가 원인변수로 나타나고 있다. 이는 중국이 서비스 산업에 투자가 증가되면서 관광지의 접근체계와 각종 편익시설이 개선되면서 최근 국제관광객이 증가하고 있기 때문으로 판단된다. 셋째, 공적분 검정에서는 6개 대륙 모든 모형에서 변수간 관계에서 모두 공적분이 존재하는 것으로 나타나 VECM을 적용하여 그 영향도를 파악할 수 있다는 결과를 얻었다.

한국의 국방비지출과 경제변수의 인과관계 분석 (A Causality Analysis of Korean Defense Expenditure and Economic Variables)

  • 김종문
    • 한국국방경영분석학회지
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    • 제30권1호
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    • pp.135-152
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    • 2004
  • Ever since Benoit's(1973, 1978) study, the relationship between defense spending and economic growth has been the subject of extensive empirical works. While a number of studies have reported that higher defense expenditure stimulate economic growth, many other studies have reported that an increase in military burden may hinder economic growth. To the extent that countries differ substantially in socioeconomic structures, the effects of defense spending cannot be generalized across countries. In this paper, Granger causality tests are performed between Korean defense expenditure and economic growth, consumption, investment, inflation and unemployment rate during the period from 1970 to 2002. The results show that Korean defense expenditure did not affect economic growth and unemployment rate. However, Korean defense expenditure caused consumption and inflation to decrease and investment to increase. On the other hand Korean defense expenditure was not Granger-caused by economic growth, consumption, investment, inflation and unemployment rate. In conclusion, the opportunity cost of Korean defense expenditure seemed to be relatively moderate considering Korean security environment. Even if it was not statistically significant, Korean defense burden at least did not bother economic growth.

정보통신자본과 R&D스톡변동이 국내 산업부문별 성장에 미치는 영향연구 (The Effectiveness of Information Telecommunication (IT) Capital and R&D Stock Variation on the Korean Industrial Sector)

  • 박추환
    • 기술혁신학회지
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    • 제4권1호
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    • pp.79-95
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    • 2001
  • This paper examines the effects of information telecommunication (IT) capital and R&D stock variation on the growth of Korean industry, using a time series approach. Most specifically, we apply the Granger causality and impulse response analysis to our examination of Koreas industrial growth, IT capital, and R&D stocks. The Johansen co-integration test is performed in order to analyze long-term relations among these variables. This research explores the way in which IT capital and R&D stocks variation from economic shocks affects the growth of Koreas industrial sector. The effects are ambiguous, however, across industrial sectors. An impulse response function analysis shows that the effects of IT capital and R&D stock fluctuations in each industrial sector are presented for different time periods.

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