RISS 학술연구정보서비스

검색

인기 검색어

    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

    가치주와 성장주에 대한 기본분석 : Fundamental Analysis to Value and Glamour Stocks

    한글로보기

    https://www.riss.kr/link?id=T13531081

    • 0

      상세조회
    • 0

      다운로드
    서지정보 열기
    • 내보내기
    • 내책장담기
    • 공유하기
    • 오류접수
    인용문이 복사되었습니다.

    부가정보

    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    A pronounced body of literature reported a positive correlation between fundamental accounting information and future stock returns. Specially, Piotroski(2000) and Mohanram(2005) demonstrated that two composite scores (F-SCORE and G-SCORE) based on fundamental accounting information for value and glamour firms, respectively, predict future stock returns. Piotroski(2000) reported that his composite score is appropriate for value firms, while Mohanram(2005) argued that his composite score is suitable for growth firms. They examined their models in the US stock market for value and glamour stocks. However, whether the same model works well in other stock market remains an empirical question.
    In comparison to well-developed capital markets, the emerging market may not be efficient in terms of reflecting value-relevant accounting information to stock prices. Thus, fundamental analysis strategy may be more successful in terms of separating winners from losers in those markets. In this context, this study applies the fundamental analysis to value and glamour stocks in Korean stock market, to find out whether the accounting information can be useful in determining mispriced stocks.
    Empirical results suggest that fundamental analysis is useful in terms of separating winners from losers in each of value and glamour stocks. Specifically, the investments strategy that takes long positions in expected winners (high score value and glamour stocks) and short positions in expected losers (low score value and glamour stocks) generates a 12.4% abnormal returns.
    The empirical results of this study contribute to the literatures of the usefulness of historical accounting information in predicting future stock returns. This study, consistent with Piotroski(2000) and Mohanram(2005), shows that the historical accounting information can play an important role in detecting mispriced stocks.
    번역하기

    A pronounced body of literature reported a positive correlation between fundamental accounting information and future stock returns. Specially, Piotroski(2000) and Mohanram(2005) demonstrated that two composite scores (F-SCORE and G-SCORE) based on fu...

    A pronounced body of literature reported a positive correlation between fundamental accounting information and future stock returns. Specially, Piotroski(2000) and Mohanram(2005) demonstrated that two composite scores (F-SCORE and G-SCORE) based on fundamental accounting information for value and glamour firms, respectively, predict future stock returns. Piotroski(2000) reported that his composite score is appropriate for value firms, while Mohanram(2005) argued that his composite score is suitable for growth firms. They examined their models in the US stock market for value and glamour stocks. However, whether the same model works well in other stock market remains an empirical question.
    In comparison to well-developed capital markets, the emerging market may not be efficient in terms of reflecting value-relevant accounting information to stock prices. Thus, fundamental analysis strategy may be more successful in terms of separating winners from losers in those markets. In this context, this study applies the fundamental analysis to value and glamour stocks in Korean stock market, to find out whether the accounting information can be useful in determining mispriced stocks.
    Empirical results suggest that fundamental analysis is useful in terms of separating winners from losers in each of value and glamour stocks. Specifically, the investments strategy that takes long positions in expected winners (high score value and glamour stocks) and short positions in expected losers (low score value and glamour stocks) generates a 12.4% abnormal returns.
    The empirical results of this study contribute to the literatures of the usefulness of historical accounting information in predicting future stock returns. This study, consistent with Piotroski(2000) and Mohanram(2005), shows that the historical accounting information can play an important role in detecting mispriced stocks.

    더보기

    목차 (Table of Contents)

    • 1. INTRODUCTION 1
    • 1.1. Motivation 1
    • 1.2. Objectives and Scope of the Study 3
    • 2. LITERATURE REVIEW 7
    • 2.1. The Book-to-Market Effect 7
    • 1. INTRODUCTION 1
    • 1.1. Motivation 1
    • 1.2. Objectives and Scope of the Study 3
    • 2. LITERATURE REVIEW 7
    • 2.1. The Book-to-Market Effect 7
    • 2.2. Value and Glamour Stocks 11
    • 2.3. Fundamental Analysis 13
    • 3. RESEARCH DESIGN 20
    • 3.1. Research Model 20
    • 3.2. Composite Scores 21
    • 3.2.1. Value-Oriented Fundamental Signals 23
    • 3.2.2. Growth-Oriented Fundamental Signals 27
    • 4. EMPIRICAL ANALYSIS 35
    • 4.1. Data 35
    • 4.1.1. Sample Selection 35
    • 4.1.2. Calculation of Returns 36
    • 4.2. Empirical Results 38
    • 4.2.1. Descriptive Statistics 38
    • 4.2.2. Returns to a Fundamental Analysis Strategy 39
    • 4.2.3. Hedge Portfolio Returns 47
    • 4.2.4. Portfolio Analysis by Size, Trading Volume and Share Price 55
    • 4.2.5. Other Sources of Cross-Variation in Returns 59
    • 4.2.6. Relationship between Fundamental Signals and Observed Returns 62
    • 4.2.7. Effectiveness of Fundamental Analysis 63
    • 5. CONCLUSION AND DISCUSSION 65
    • REFERENCES 67
    • ABSTRACT IN KOREAN 73
    • ACKNOWLEDGEMENTS 77
    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

    이 자료와 함께 이용한 RISS 자료

    나만을 위한 추천자료

    해외이동버튼