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Article
Publication date: 31 May 2007

Seok Kyu Kang

This study is to examine the unblasedness hypothesis and hedging effectiveness in KOSPI20() futures market. The unbiasedness and efficiency hypothesis is carried out using…

Abstract

This study is to examine the unblasedness hypothesis and hedging effectiveness in KOSPI20() futures market. The unbiasedness and efficiency hypothesis is carried out using a cointegration methodology. And hedging effectiveness is measured by comparing hedging performance of the naive hedge model, OLS hedge model. and constant correlation bivariate GARCH (1. 1) hedge model based on rolling windows. The sample period covers from May. 3. 1996 to December. 8, 2005.

The empirical results are summarized as follows: First, there exists the cOintegrating relationship between realized spot prices and futures prices of the 10 day. 22 day. 44 day. and 59 day prior to maturity. Second. futures prices of backward the 10 day. 22 day. 44 day from maturity provide unbiased forecasts of the realized spot prices. The KOSPI200 futures price is likely to predict accurately future KOSPI200 spot prices without the trader having to pay a risk premium for the privilege of trading the contract. Third. for shorter maturity. the futures price appears to be the best forecaster of spot price. Forth, bivariate GARCH hedging effectiveness outperforms the naive and OLS hedging effectiveness.

The implications of these findings show that KOSPI200 futures market behaves as unbiased predictor of future spot price and risk management instrument of KOSPI200 spot portfolio.

Details

Journal of Derivatives and Quantitative Studies, vol. 15 no. 1
Type: Research Article
ISSN: 2713-6647

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Content available
Article
Publication date: 31 August 2009

Seok-Kyu Kang

This paper examines the price discovery process among the Korea stock index markets using the vector error correction model (VECM) and the multivariate generalized auto…

Abstract

This paper examines the price discovery process among the Korea stock index markets using the vector error correction model (VECM) and the multivariate generalized auto regressive conditional heteroskedasticity (M-GARCH) model. The minute-by-minute price series of the KOSPI200 index, KOSPI200 futures, and KODEX200 are cointegrated.

The empirical results are summarized as follows: First, VECM estimation results indicate that when the cointegrating relationship is perturbed by the arrival of ntis, the KODEX200(ETF) does not adjusted to restore equilibrium. This is the task of the KOSPI200 futures and spot. These two index securities use the KODEX200 to represent the ntioequilibrium price, with the KOSPI200 futures responding faster than the KOSPI200 spot. When the cointegrating relationship betweeiesOSPI200 spot and futues is perturbed by the arrival of ntis, the KOSPI200 spot does adjusted to restore equilibrium. Next, the results from the multivariate GARCH modes indicate that the volatilities of esOSPI200 spot and futures markets suggest unidirectiona1volatility spillover from KOSPI200 futures to KOSPI200 spot. KODEX200(ETF) volatilities spill over bothesOSPI200 spot and futures markets. and this happen in the reverse direction with a strong effect from the KODEX200 to KOSP200 futures and spot.

The overall findings indicate that the KODEX200(ETF) market dominates KOSPI200 futures and spot in the price discovery process. The regulation of Instutional traders on trading on futures markets explains its superior price discovery function.

Details

Journal of Derivatives and Quantitative Studies, vol. 17 no. 3
Type: Research Article
ISSN: 2713-6647

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Article
Publication date: 30 November 2006

Seok Kyu Kang

This study is to examine the three theme of the eπiciency of Korea foreign exchange market including the unbiasedness testing, the relative efficiency estimates, and the…

Abstract

This study is to examine the three theme of the eπiciency of Korea foreign exchange market including the unbiasedness testing, the relative efficiency estimates, and the information spillover efficiency. Data using the analysis 81’e won-dollar spot and futures in domestic and won-dollar forward in offshore. i.e.. New York and Singapore NDF (non-delivery forward).

The empirical results are summarized as follows: First. the efficient market or unbiasedness expectations hypothesis is not rejected in the won-dollar currency futures market apart from offshore New York and Singapore NDF markets. This indicates that the won-dollar futures price is likely to be an accurate indicator of future won-dollar spot prices without the trader having to pay a risk premium for the privilege of trading the contract. Second. the findings suggest the domestic won-dollar futures market is 13.58% efficient. the Singapore offshore won-dollar NDF market is 11.38% efficient. and the New York offshore won-dollar NDF market is 2.68% efficient. This indicates that the domestic won-dollar futures market is more efficient than the offshore won-dollar NDF market. It is therefore possible to conclude that the domestic currency futures price is a relatively successful predictor of the future spot price. Third. the findings suggest the information spillover exists between domestic won-dollar spot/futures market and offshore won-dollar New York NDF market in both direction. This indicates that the two markets are efficiently linked.

Details

Journal of Derivatives and Quantitative Studies, vol. 14 no. 2
Type: Research Article
ISSN: 2713-6647

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Article
Publication date: 30 November 2014

Seok-Kyu Kang, Youngtae Byun and Jonghae Park

In this study we compared the effectiveness of different ETFs. For this purpose, we analyzed the volatility spillover effect (process) among KOSPI200, KOSPI200 futures and…

Abstract

In this study we compared the effectiveness of different ETFs. For this purpose, we analyzed the volatility spillover effect (process) among KOSPI200, KOSPI200 futures and KOSPI200 ETFs such as KODEX200, KOSEF200, KINDEX200, TIGER200 using multi-variate GARCH model. The sample was generated from high frequency data set over the period from 05/24/2009 to 12/29/2011 (669 days). The volatility spillover effect was examined at 1, 5, 10, 30 minute' intervals for each market and the main results are as follows;

First, KODEX200 has the highest correlations with KOSPI200 and KOSPI200 futures in four ETFs.

Second, all ETFs have a cointegrated relationship with its underlying asset KOSPI200 as KOSPI200 and KOSPI200 futures do.

Third, in the daily data the volatility spillover among ETFs, KOPSI200 and KOSPI200 futures was investigated in part but it was not consistent.

The fourth, according to the result derived from high-frequency data analysis the volatility spillover effect from KODEX200 to KOSPI200 (KOSPI200 futures) is bigger than that from KOSPI200 (KOSPI200 futures) to KODEX200 while other ETFs are not.

The overall results indicate that KODEX200 which is the biggest ETF in volume performs very important roles in finding the price of underlying asset and further researches can be expected.

Details

Journal of Derivatives and Quantitative Studies, vol. 22 no. 4
Type: Research Article
ISSN: 2713-6647

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Article
Publication date: 10 September 2021

Jun Sik Kim and Sol Kim

This paper aims to provide a retrospective on the Journal of Derivatives and Quantitative Studies (JDQS) on its 30th anniversary based on a bibliometric analysis.

Abstract

Purpose

This paper aims to provide a retrospective on the Journal of Derivatives and Quantitative Studies (JDQS) on its 30th anniversary based on a bibliometric analysis.

Design/methodology/approach

The authors use the performance analysis to analyze patterns in JDQS's publications, citations and citation indices over the years. To investigate the relationship among keywords and authors, the authors of this paper employ science mapping by analyzing keyword-level networks and author-level networks using the KCI- Korean Journal Database of WOS. The authors use VOSviewer for bibliographic analysis and cluster analysis at the keyword and author levels. To study the effect of JDQS articles' attributes on citations of the articles, the authors conduct a regression analysis with KCI data. The authors regress the citations for each article on the article's attributes.

Findings

JDQS's yearly publications, citations, impact factors and centrality indices grew in the early 2010s before diminishing in 2020. Keyword network analysis reveals that JDQS's main keywords include behavioral finance, implied volatility, information asymmetry, price discovery, KOSPI200 futures, volatility and KOSPI200 options. Citations of JDQS articles are mainly driven by article age, demeaned age squared, conference, nonacademic authors and language. Based on the number of views and downloads of JDQS articles, the authors find that recent changes in publisher and editorial and publishing policies have increased the journal's visibility.

Originality/value

This study quantitatively analyzed the bibliographic information of papers published in JDQS, a representative Korean academic journal in the finance area. This confirms the academic contribution of JDQS over the past 30 years and provides implications for future strategies of the journal. It shows the patterns in JDQS's publications, citations and citation indices and identifies the main authors and most cited papers. However, there is no such bibliometric analysis on Korean financial journals; thus, this study can contribute to the literature in this point.

Details

Journal of Derivatives and Quantitative Studies: 선물연구, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1229-988X

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