Keywords: KOSPI200
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Journal Articles
Journal of Derivatives and Quantitative Studies: Seonmul yeon’gu (2017) 25 (2): 169–199.
Published: 31 May 2017
...Byeongmon Cho; Sangbin Lee; Junghoon Seo This study tests empirically the impacts that the issue and redemption of index-typed ELS has on KOSPI200 & KOSPI200 Future Index and the performance of ELS redemption by using daily stock market data of year 2010-2015. The first one of research results...
Journal Articles
Journal of Derivatives and Quantitative Studies: Seonmul yeon’gu (2015) 23 (3): 391–420.
Published: 31 August 2015
... has analyzed the hedging effects of index ELS to the KOSPI200 index and futures market. It verifies that the hedging of index ELS has not shown any significant effect to the return of KOSPI200 index and futures, but it seems that it effects on the volatility. In other words, as ELS issue amount...
Journal Articles
Journal of Derivatives and Quantitative Studies: Seonmul yeon’gu (2015) 23 (2): 243–264.
Published: 31 May 2015
...Min-Goo Hong; Kook-Hyun Chang This study examines whether KOSPI200 intra-day return has jump risk and heteroscedasticity and we compare the estimation result of intra-day return and that of daily return. The sample covers from January 2, 2004 to July 31, 2014. We use 30-minute intervals...
Journal Articles
Journal of Derivatives and Quantitative Studies: Seonmul yeon’gu (2015) 23 (1): 73–97.
Published: 28 February 2015
...Jeehye Kim; Kook-Hyun Chang In this paper, we examine which volatility estimation model best explains KOSPI200-realized volatility in the Korean stock market, which has both heteroscedasticity and jump risk. The sample covers from July 1, 2010 to July 31, 2014, which is a low-volatility period...
Journal Articles
Journal of Derivatives and Quantitative Studies: Seonmul yeon’gu (2013) 21 (3): 307–330.
Published: 31 August 2013
...Myeonghoon Yeom; Jae-Seung Baek; Doojin Ryu This paper investigates investment and hedging strategies using the KOSPI200 nighttime futures product which was launched at November 16th, 2009. To examine the performance of the investment strategies, we analyze one-minute transaction data of KOSPI200...
Journal Articles
Journal of Derivatives and Quantitative Studies: Seonmul yeon’gu (2011) 19 (1): 59–90.
Published: 28 February 2011
...Sol Kim; Geul Lee This article examines the information contents in the implied volatility spread between the KOSPI200 at-the-money puts and calls with the same strike price and maturity. Using 1-minute KOSPI200 index and options data, our study shows that the volatility spread leads KOSPI200 index...
Journal Articles
Journal of Derivatives and Quantitative Studies: Seonmul yeon’gu (2005) 13 (2): 87–105.
Published: 30 November 2005
...Jae Ha Lee; Je Ryun Chung This study examines the lead-lag relationship between KOSPI200 and the volatility index based on the implied volatility from the KOSPI200 options. The sample period covers from January 2, 2003 to June 30, 2004. Both daily and minute-by-minute data were used for the lead...
Journal Articles
Journal of Derivatives and Quantitative Studies: Seonmul yeon’gu (2002) 10 (2): 95–114.
Published: 30 November 2002
...Ji Hyeon Lee; Dong Seog Kim; Hoe Gyeong Lee In this paper, we empirically examine the volatility process of Korean stock market returns using the KOSPI200. To investigate the property of the process, we use the FIGARCH (Fractionally Integrated GARCH) model that includes GARCH and 1GARCH processes...

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