서지주요정보
변동성콘을 이용한 KOSPI200 지수 옵션 거래 전략의 실증 분석 = An empirical study on the trading strategies of KOSPI200 index options using volatility cone
서명 / 저자 변동성콘을 이용한 KOSPI200 지수 옵션 거래 전략의 실증 분석 = An empirical study on the trading strategies of KOSPI200 index options using volatility cone / 이천주.
발행사항 [대전 : 한국과학기술원, 2002].
Online Access 원문보기 원문인쇄

소장정보

등록번호

8013217

소장위치/청구기호

학술문화관(문화관) 보존서고

MGSM 02102

휴대폰 전송

도서상태

이용가능(대출불가)

사유안내

반납예정일

등록번호

9008735

소장위치/청구기호

서울 학위논문 서가

MGSM 02102 c. 2

휴대폰 전송

도서상태

이용가능(대출불가)

사유안내

반납예정일

리뷰정보

초록정보

This thesis focuses on developing and analyzing the trading strategies of KOSPI 200 Index options using volatility cone. We found that Hull White price overprices by 0.90% while Black Scholes price overprices options by 2.15%. In volatility skewness, Hull White price is flatter than Black Scholes price. We construct time dimensional volatility cones to examine the relationship of the implied volatility series to the corresponding distribution of historical volatility. We use two option pricing models. One is Black Scholes the other is Hull White. First, we used Black Scholes option pricing model. The results of trading simulation is that short straddle, short strangle can make a profit while long straddle, long stranggle can not. And the profit of OTM trading is the biggest. We conclude that individuals in KOSPI200 have a tendency of buying options, especially OTM. This makes options price overpriced especially OTM. Second, we used Hull White option pricing model. The results is the same to Black Scholes results. We conclude that Hull White option pricing model is not better than Black Scholes model in trading simulation. After elimination the period of the big basis(implied volatility - historical volatility), both short and long straddle, strangle can make a profit. We conclude that volatility cone trading can make a profit especially during stationary volatility period.

서지기타정보

서지기타정보
청구기호 {MGSM 02102
형태사항 v, 27 p. : 삽화 ; 26 cm
언어 한국어
일반주기 저자명의 영문표기 : Chun-Ju Lee
지도교수의 한글표기 : 김인준
지도교수의 영문표기 : In-Joon Kim
학위논문 학위논문(석사) - 한국과학기술원 : 금융공학전공,
서지주기 참고문헌 : p. 26-27
QR CODE

책소개

전체보기

목차

전체보기

이 주제의 인기대출도서