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      변동성변화에 대한 민감도와 주식수익률간의 횡단면적 관계 = The Effect of Market Volatility Changes on the Cross-Sectional Expected Return in Korean Stock Market

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      https://www.riss.kr/link?id=A87029459

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      This paper examines the pricing effect of aggregate volatility risk in the crosssection of stock returns. The sample stocks are all firms listed in the KRX except financial firms during the period from July 1997 to December 2005. The innovation in aggregate volatility is measured as the changes in the Representative Volatility Index from KRX. The quintile portfolios are composed by the loadings of individual stock return on the innovation in aggregate volatility. To estimate the loading, the individual stock excess return is regressed on the market excess return and the innovation in aggregate volatility in daily base. The monthly return of the portfolio that buys high loading portfolio and sells low loading portfolio is positive but not significant. And ex post exposures to the volatility risk of the quintile portfolios seem to have a tendency to revert to zero. The correlation coefficients of the innovation in volatility to the market factor, SMB factor, and HML factor are not statistically significant. This means that the innovation in aggregate volatility can be a candidate for risk factor which can be added to the Fama and French(1993)`s three factor model. To estimate the factor premium on the volatility risk, 25 portfolios are composed by the past loadings on the innovation in the aggregate volatility and the market excess return. The volatility risk factor premium is positive but not significant for all period. For first sub-period, the premium is significantly positive, and for second sub-period, the premium is significantly negative. But the estimates of volatility risk premium do not have consistency to the criterion of the portfolio composition and to the sample period.
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      This paper examines the pricing effect of aggregate volatility risk in the crosssection of stock returns. The sample stocks are all firms listed in the KRX except financial firms during the period from July 1997 to December 2005. The innovation in agg...

      This paper examines the pricing effect of aggregate volatility risk in the crosssection of stock returns. The sample stocks are all firms listed in the KRX except financial firms during the period from July 1997 to December 2005. The innovation in aggregate volatility is measured as the changes in the Representative Volatility Index from KRX. The quintile portfolios are composed by the loadings of individual stock return on the innovation in aggregate volatility. To estimate the loading, the individual stock excess return is regressed on the market excess return and the innovation in aggregate volatility in daily base. The monthly return of the portfolio that buys high loading portfolio and sells low loading portfolio is positive but not significant. And ex post exposures to the volatility risk of the quintile portfolios seem to have a tendency to revert to zero. The correlation coefficients of the innovation in volatility to the market factor, SMB factor, and HML factor are not statistically significant. This means that the innovation in aggregate volatility can be a candidate for risk factor which can be added to the Fama and French(1993)`s three factor model. To estimate the factor premium on the volatility risk, 25 portfolios are composed by the past loadings on the innovation in the aggregate volatility and the market excess return. The volatility risk factor premium is positive but not significant for all period. For first sub-period, the premium is significantly positive, and for second sub-period, the premium is significantly negative. But the estimates of volatility risk premium do not have consistency to the criterion of the portfolio composition and to the sample period.

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      참고문헌 (Reference)

      1 ""변동성, 위험 프리미엄과 코리아 디스카운트"" 22 (22): 165-187, 2005

      2 "주식수익률의 다요인 모형에 관한 연구" 4 (4): 69-91, 2005

      3 "변동성을 이용한 반대투자전략에 대한 실증분석" 23 (23): 1-25, 2006

      4 "내재주가지수를 이용한 옵션시장과 주식시장의 상호관계에 관한 실증연구" 33 (33): 95-122, 2004

      5 "내재변동성 측정방법에 따른 실현변동성 예측력 분석" 5 (5): 1-25, 2005

      6 "Volatility-Based Effects on Shareholder Value: Alliance Activity in the Computing Industry" 30 : 487-508, 2004

      7 "Uncovering the Risk-Return Relation in the Stock Market" 61 : 1433-1463, 2006

      8 "The Price of Diversifiable Risk in Venture Capital and Private Equity" University of Columbia 2003

      9 "The Cross-Section of Volatility and the Expected Returns" 61 : 259-299, 2006

      10 "Stock Returns Dynamics, Option Volume, and the Information Content of Implied Volatility" 23 : 615-646, 2003

      1 ""변동성, 위험 프리미엄과 코리아 디스카운트"" 22 (22): 165-187, 2005

      2 "주식수익률의 다요인 모형에 관한 연구" 4 (4): 69-91, 2005

      3 "변동성을 이용한 반대투자전략에 대한 실증분석" 23 (23): 1-25, 2006

      4 "내재주가지수를 이용한 옵션시장과 주식시장의 상호관계에 관한 실증연구" 33 (33): 95-122, 2004

      5 "내재변동성 측정방법에 따른 실현변동성 예측력 분석" 5 (5): 1-25, 2005

      6 "Volatility-Based Effects on Shareholder Value: Alliance Activity in the Computing Industry" 30 : 487-508, 2004

      7 "Uncovering the Risk-Return Relation in the Stock Market" 61 : 1433-1463, 2006

      8 "The Price of Diversifiable Risk in Venture Capital and Private Equity" University of Columbia 2003

      9 "The Cross-Section of Volatility and the Expected Returns" 61 : 259-299, 2006

      10 "Stock Returns Dynamics, Option Volume, and the Information Content of Implied Volatility" 23 : 615-646, 2003

      11 "Mental Accounting, Loss Aversion, and Individual Stock Returns" 56 : 1247-1292, 2001

      12 "KOSPI 200 지수옵션을 이용한 변동성 거래의 유용성 검증" 2 (2): 69-91, 2003

      13 "Journal of Political Economy" 607-639, 1973

      14 "Journal of Financial Economics" 3-29, 1987

      15 "Idiosyncratic Risk and Security Returns" University of Texas at Dallas 2002

      16 "Expected Option Returns" 56 : 983-1009, 2001

      17 "Estimating Expected Excess Returns Using Historical and Option Implied Volatility" 26 : 95-112, 2006

      18 "Economic Tracking Portfolios" 105 : 161-184, 2001

      19 "Common Risk Factors in the Returns on Stocks and Bonds Journal of Financial Economics" 3-56, 1993

      20 "Asymmetric Volatility and Trading Activity in Index Futures Options" 40 : 381-407, 2005

      21 "An Empirical Investigation of the Lead-Lag Relations of Returns and Volatilities Among the KOSPI200 Spot, Futures and Options Markets and Their Explanations" 5 : 235-261, 2006

      22 "A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options Review of Financial Studies" 327-343, 1993

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2026 평가예정 재인증평가 신청대상 (재인증)
      2020-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2017-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2014-03-25 학술지명변경 외국어명 : Korean Association of Financial Engineering -> Korean Journal of Financial Engineering KCI등재
      2014-03-17 학회명변경 영문명 : The Korean Journal Of Financial Engineering -> Korean Association of Financial Engineering KCI등재
      2014-03-14 학술지명변경 외국어명 : The Korean Journal of Financial Engineering -> Korean Association of Financial Engineering KCI등재
      2013-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2010-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2009-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2008-01-01 평가 등재후보 1차 FAIL (등재후보1차) KCI등재후보
      2006-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.38 0.38 0.55
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.61 0.66 1.029 0
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