ScholarWorks@Soongsil University: Choi, Su jung

Detailed Information

Choi, Su jung (최수정)

College of Business Administration (School of Business Administration)

Research Area

Tel
Homepage

ResearcherID ORCiD Scopus Google Scholar ID ResearchGate

Keyword

IRP:3||퇴직연금:2||UTAUT:2||Weakform market efficiency:2||Top20 Index:2||return predictability:2||Individual investors:2||Business activity survey:1||Chinese stock market:1||Contrarian Strategy:1||Direct Investments:1||Diversification:1||ETF activeness:1||Economic policy uncertainty (EPU) index:1||Economic sentiments:1||Financial Time Series:1||Financial Trading:1||Financial performance.:1||Foreign Investors:1||Gender:1||Hedge Funds:1||Indirect Investments:1||Individual Investors:1||Individual retirement pension:1||Informed Traders:1||Innovative efficiency:1||Kalman Filter:1||Korean statistical information service:1||Korean stock market:1||Limited attention:1||Local herding:1||MDIS:1||MDIS.:1||Machine Learning:1||Market adjusted returns:1||Markowitz&apos:1||Mobile payment:1||Mogolian stock market:1||Network effect:1||Occupation:1||Online versus offline trading:1||P500 data:1||PLS구조방정식모형(PLSSEM):1||Panel Model:1||Partial least squarestructural equation modeling (PLSSEM):1||Patents:1||Peer Effects:1||Preferred Stock:1||Price Difference:1||Ranking data:1||Retirement Pension Plans:1||Return performance:1||Risk Managements:1||Riskadjusted returns:1||S&:1||SVAR:1||Shadow Rate:1||Term Structure:1||Trading:1||U.S. Total Factor Productivity:1||VAR model.:1||VECM:1||VKOSPI:1||VarianceRatio Test:1||Workplace Characteristics:1||age:1||attention effect:1||behavioral finance:1||domestic stock ETFs:1||exchange traded fund (ETF):1||fund fees:1||fund flow:1||fund performance:1||fund premium:1||gender:1||highdimensional covariance matrix:1||minimum variance portfolio:1||mood effects:1||order restricted inference:1||return chasing behavior.:1||risky assets:1||s portfolio optimization:1||social mood:1||stock market:1||stock market returns:1||stock message board:1||suicide rates:1||개인투자자:1||관심효과:1||괴리율:1||구조적 벡터자기회귀 모형:1||금리기간구조:1||금융시계열분석:1||금융자산:1||기업활동조사:1||나이:1||네트워크 효과:1||동료효과:1||마이크로데이터서비스(MDIS):1||마이크로데이터서비스.:1||머신 러닝:1||모바일 간편결제:1||몽골 주식시장:1||미국 총요소생산성:1||벡터오차수정 모형:1||분산비율검정:1||분산투자:1||빅데이터 분석:1||성별:1||순서제약추론:1||시장 약형효율성 검증:1||시장조정수익률:1||아미후드 비유동성:1||약형효율성 검증:1||역행투자전략:1||외국인 투자자:1||우선주:1||위험관리:1||위험조정수익률:1||자산배분:1||잠재금리:1||재무적 성과.:1||정보보유 거래자:1||주식시장:1||주식토론방:1||중국 주식시장:1||직장정보:1||채권:1||칼만 필터:1||통계청:1||트레이딩:1||특허권:1||패널모형:1||헤지펀드:1||Abnormal trading volume:1||혁신활동:1||Amihud Illiquidity:1||Asset Allocation:1||Asset Diversification:1||Attentiongrabbing stocks:1||Big Data:1||Bonds:1||

STATISTICS: Total View :8,054,797; Today View :6,919

RSS_1.0 RSS_2.0 ATOM_1.0

Soongsil University Library 369 Sangdo-Ro, Dongjak-Gu, Seoul, Korea (06978)02-820-0733

Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.

Detailed Information

Keyword

BROWSE