RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재

      한국 주식시장의 Fama-French 모형연구 = The Study of Fama-French Model on Korean Stock Market

      한글로보기

      https://www.riss.kr/link?id=A106931762

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      This paper investigates the importance of FF-3, 5 factor models, as well as FF-6 factor model by adding Liquidity(LIQ) to FF-5 factor model. Previous studies have emphasized the role of liquidity in Korean market. Using the monthly data from year 1998 to 2016, we have also divided the whole period into three different sub-periods; one before the global credit crisis, another during the crisis, and the last one after the crisis. We apply not only FF (2015, 2017) 4 metrics and spanning tests, but also Fama-MacBeth cross-sectional tests. According to FF (2015, 2017) 4 metrics, none of the models considered pass GRS test at 5% significance level, in the case of the whole period. Nevertheless, FF 3 factor model seems to perform the best, based on FF 4 metrics. When we replace HML by LIQ in FF-3 factor model, the original FF-3 factor model performs better. In addition, FF-5 factor model almost always perform better than FF-6 factor model. These tell us that LIQ may not be a necessary factor in Korea. When we look at sub-periods, most results are similar. Interestingly, most models also pass the GRS test in the case of sub-periods. Based on FF (2015, 2017) spanning test, we find Mkt, SMB, HML are not spanned, while RMW, CMA, LIQ are spanned, when we consider the whole period. The results are similar when we look at sub-periods, except that before the crisis, Mkt, SMB, HML factors all play roles, while after the crisis, only SMB plays a role. Overall, both FF (2015, 2017) 4 metrics and spanning tests show that FF 3 factor model is the best. The result of Fama-MacBeth cross-sectional test, however, doesn’t support it. As in previous studies, SMB plays a major role, and both LIQ and CMA tend to be statistically significant, which implies that FF 6 factor model performs relatively better. This is the case, whether we look at the whole period, or we look at sub-periods. To sum up, FF (2015, 2017) 4 metrics and spanning tests support FF-3 factor model, while Fama-MacBeth tests support FF-6 factor model.
      번역하기

      This paper investigates the importance of FF-3, 5 factor models, as well as FF-6 factor model by adding Liquidity(LIQ) to FF-5 factor model. Previous studies have emphasized the role of liquidity in Korean market. Using the monthly data from year 1998...

      This paper investigates the importance of FF-3, 5 factor models, as well as FF-6 factor model by adding Liquidity(LIQ) to FF-5 factor model. Previous studies have emphasized the role of liquidity in Korean market. Using the monthly data from year 1998 to 2016, we have also divided the whole period into three different sub-periods; one before the global credit crisis, another during the crisis, and the last one after the crisis. We apply not only FF (2015, 2017) 4 metrics and spanning tests, but also Fama-MacBeth cross-sectional tests. According to FF (2015, 2017) 4 metrics, none of the models considered pass GRS test at 5% significance level, in the case of the whole period. Nevertheless, FF 3 factor model seems to perform the best, based on FF 4 metrics. When we replace HML by LIQ in FF-3 factor model, the original FF-3 factor model performs better. In addition, FF-5 factor model almost always perform better than FF-6 factor model. These tell us that LIQ may not be a necessary factor in Korea. When we look at sub-periods, most results are similar. Interestingly, most models also pass the GRS test in the case of sub-periods. Based on FF (2015, 2017) spanning test, we find Mkt, SMB, HML are not spanned, while RMW, CMA, LIQ are spanned, when we consider the whole period. The results are similar when we look at sub-periods, except that before the crisis, Mkt, SMB, HML factors all play roles, while after the crisis, only SMB plays a role. Overall, both FF (2015, 2017) 4 metrics and spanning tests show that FF 3 factor model is the best. The result of Fama-MacBeth cross-sectional test, however, doesn’t support it. As in previous studies, SMB plays a major role, and both LIQ and CMA tend to be statistically significant, which implies that FF 6 factor model performs relatively better. This is the case, whether we look at the whole period, or we look at sub-periods. To sum up, FF (2015, 2017) 4 metrics and spanning tests support FF-3 factor model, while Fama-MacBeth tests support FF-6 factor model.

      더보기

      참고문헌 (Reference)

      1 윤상용, "한국 주식시장에서 유동성 요인을 포함한 3요인 모형의 설명력에 관한 연구" 한국재무학회 22 (22): 1-44, 2009

      2 목남희, "잉여현금흐름과 투자성향이 기업가치에 미치는 영향" 한국상업교육학회 30 (30): 131-153, 2016

      3 김주한, "금융위기와 위기지수를 활용한 국가별 분석" 한국상업교육학회 29 (29): 265-286, 2015

      4 Novy-Marx, R., "The other side of value: The gross profitability premium" 108 (108): 1-28, 2013

      5 Guo, B., "The five-factor asset pricing model tests for the Chinese stock market" 43 : 84-106, 2017

      6 장운욱, "The Five-Factor Asset Pricing Model: Applications to the Korean Stock Market" 아시아.유럽미래학회 13 (13): 155-180, 2016

      7 Serge R., "Re-examination of Fama-French Models in the Korean Stock Market" 26 : 23-45, 2019

      8 Fama, E. F., "International tests of a five-factor asset pricing model" 123 : 441-463, 2017

      9 Arnott R., "Fundamental Indexation" 61 : 83-99, 2004

      10 Kim, S. H., "Evaluating asset pricing models in the Korean Stock market" 20 : 198-227, 2012

      1 윤상용, "한국 주식시장에서 유동성 요인을 포함한 3요인 모형의 설명력에 관한 연구" 한국재무학회 22 (22): 1-44, 2009

      2 목남희, "잉여현금흐름과 투자성향이 기업가치에 미치는 영향" 한국상업교육학회 30 (30): 131-153, 2016

      3 김주한, "금융위기와 위기지수를 활용한 국가별 분석" 한국상업교육학회 29 (29): 265-286, 2015

      4 Novy-Marx, R., "The other side of value: The gross profitability premium" 108 (108): 1-28, 2013

      5 Guo, B., "The five-factor asset pricing model tests for the Chinese stock market" 43 : 84-106, 2017

      6 장운욱, "The Five-Factor Asset Pricing Model: Applications to the Korean Stock Market" 아시아.유럽미래학회 13 (13): 155-180, 2016

      7 Serge R., "Re-examination of Fama-French Models in the Korean Stock Market" 26 : 23-45, 2019

      8 Fama, E. F., "International tests of a five-factor asset pricing model" 123 : 441-463, 2017

      9 Arnott R., "Fundamental Indexation" 61 : 83-99, 2004

      10 Kim, S. H., "Evaluating asset pricing models in the Korean Stock market" 20 : 198-227, 2012

      11 Hahn, J., "Determinants of the cross-sectional stock returns in Korea: evaluating recent empirical evidence" 38 : 88-106, 2016

      12 Ball, R., "Deflating profitability" 117 (117): 225-248, 2015

      13 Barillas, F., "Comparing Asset Pricing Models" NBER 2015

      14 Fama, E. F., "Common risk factors in the returns on stocks and bonds" 33 (33): 3-56, 1993

      15 Titman, S., "Capital investments and stock returns" 39 (39): 677-700, 2004

      16 Ball, R., "An empirical evaluation of accounting income numbers" 159-178, 1968

      17 Ball, R., "Accruals, cash flows, and operating profitability in the cross section of stock returns" 121 (121): 28-45, 2016

      18 Fama, E. F., "A five-factor asset pricing model" 116 (116): 1-22, 2015

      19 Gibbons, M., "A Test of the efficiency of a given portfolio" 57 (57): 1121-1152, 1989

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      인용정보 인용지수 설명보기

      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2028 평가예정 재인증평가 신청대상 (재인증)
      2022-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2019-01-01 평가 등재학술지 선정 (계속평가) KCI등재
      2018-12-01 평가 등재후보로 하락 (계속평가) KCI등재후보
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-01-01 평가 등재 1차 FAIL (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2005-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2003-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      더보기

      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.16 1.16 1.17
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      1.07 1.02 1.378 0.53
      더보기

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼