• Title/Summary/Keyword: 현물/선물 변동성

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Hedging effectiveness of KOSPI200 index futures through VECM-CC-GARCH model (벡터오차수정모형과 다변량 GARCH 모형을 이용한 코스피200 선물의 헷지성과 분석)

  • Kwon, Dongan;Lee, Taewook
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.6
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    • pp.1449-1466
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    • 2014
  • In this paper, we consider a hedge portfolio based on futures of underlying asset. A classical way to estimate a hedge ratio for a hedge portfolio of a spot and futures is a regression analysis. However, a regression analysis is not capable of reflecting long-run equilibrium between a spot and futures and volatility clustering in the conditional variance of financial time series. In order to overcome such defects, we analyzed KOSPI200 index and futures using VECM-CC-GARCH model and computed a hedge ratio from the estimated conditional covariance-variance matrix. In real data analysis, we compared a regression and VECM-CC-GARCH models in terms of hedge effectiveness based on variance, value at risk and expected shortfall of log-returns of hedge portfolio. The empirical results show that the multivariate GARCH models significantly outperform a regression analysis and improve hedging effectiveness in the period of high volatility.

Analysis of Time-Varying Optimal Hedge Ratio and Effectiveness for Carbon Prices : EUA and CER of EU ETS (탄소배출권의 최적 헤지 비율과 시간변동성에 관한 연구: EU ETS의 EUA와 CER을 중심으로)

  • Park, Soonchul;Cho, Yongsung
    • Journal of Environmental Policy
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    • v.12 no.4
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    • pp.93-117
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    • 2013
  • We analyze the optimal hedge ratio and hedge effectiveness with different periodic times between spot and futures on EUA and CER based on EU-ETS. The Main finding are as follows. The first, hedging model which considers the time-varying variance is not more accurate than non-time-varying hedging models. The second, optimal hedge ratios are different even though hedge effectiveness is similar for the hedging purpose. The third, hedge effectiveness has uncertainty if hedge period is short. In case of EUA it needs to over 6 weeks and CER needs to over 7 weeks. The fourth, cross hedge with CER futures is not suitable for profit ratios.

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금융위기 전후의 시장간 동태적 균형관계 분석

  • Kwak, Jong-Mu
    • The Korean Journal of Financial Studies
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    • v.5 no.1
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    • pp.191-212
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    • 1999
  • 1997년에 우리 나라는 외환충격으로 인한 금융위기 속에서 시장가격이 급격하게 변동하였다. 이로 인해 차익거래를 가능하게 하는 차입과 대출이 크게 제약되었고, 이것은 시장간 균형관계에 중요한 영향을 줄 수 있다. 이에 이러한 금융위기에서도 주요 시장간의 균형관계가 유지되었는지를 검정하는 것이 이 연구의 목적이다. 분석자료로 KOSPI 200 현물 종가 및 선물 결제가격, 연간 회사채 수익률, 양도성 예금 연간이자율, 기준환율의 일일 자료를 사용하였다. 1996년 5월 3일부터 1998년 5월 21일까지의 기간을 외환충격에 의한 금융위기 전, 중, 후의 3단계로 구분하여 각 단계별로 백터오차수정모형 분석과 충격반응분석을 하였다. 금융위기 이전인 제1단계에서는 5개 내생변수간의 균형관계가 존재하였다. 금융위기가 급속하게 진행된 제2단계에서는 균형관계가 존재하지 않았다. 그러나 주가지수, 주가지수 선물가격 및 기준환율 변수를 내생변수로 하고, 나머지 변수를 외생변수로 분석한 경우에는 균형관계가 존재하였다. 금융위기 진정단계인 제3단계에서는 5개 내생변수간의 균형관계가 성립하였다.

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Risk Management Strategies Using Futures and Options for Importing Crude Oil (원유수입을 위한 선물 및 옵션 활용 위험관리 전략)

  • Yun, Won-Cheol;Sonn, Yang-Hoon
    • Environmental and Resource Economics Review
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    • v.18 no.1
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    • pp.139-158
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    • 2009
  • With the sample of Middle East crude oil imported to South Korea, this study empirically analyzes the effectiveness of the risk management strategies using derivatives such as futures and options. Assuming the hedging period of one to twelve months, it considers a spot purchasing strategy, 1 : 1 futures hedge strategy, OLS-based minimum-variance futures hedge strategy, buying call option strategy, and collar transaction strategy. According to the ex-ante result, using the derivatives of futures or options makes lower the procurement costs when the crude oil prices is increasing. With the hedging period less than or equal to six months, the hedging strategy using futures turns out to be superior in terms of procurement cost reduction and hedging effectiveness improvement. In contrast, the hedging strategies of buying call option and collar transaction would generate better results when the hedging program last over six months.

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A Study on the Cross Hedge Performance of KOSPI 200 Stock Index Futures (코스피 200 주가지수선물을 이용한 교차헤지 (cross-hedge))

  • Hong, Chung-Hyo;Moon, Gyu-Hyun
    • The Korean Journal of Financial Management
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    • v.23 no.1
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    • pp.243-266
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    • 2006
  • This paper tests cross hedging performance of the KOSPI 200 stock index futures to hedge the downside risk of the KOSPI, KOSPI 200 and KOSDAQ50 spot market. For this purpose we introduce the minimum variance hedge model, bivariate GARCH(1,1) and EGARCH(1,1) model as hedge models. The main results are as follows; First, we find that the direct hedge performance of KOSPI 200 index futures is better than those of indirect hedge performance. second, in case or cross hedge performance the hedge effect of KOSPI 200 stock index futures market against KOSPI 200 stock index spot market is relatively better than those of KOSPI 200 index futures against KOSPI and KOSDAQ spot position. Third, for the out-sample, hedging effectiveness of the risk-minimization with constant hedge ratios is higher than those of the time varying bivariate GARCH(1,1) and EGARCH(1,1) model. In conclusion, investors are encouraged to use simple risk-minimization model rather than the time varying hedge models like GARCH and EGARCH model to hedge the position of the Korean stock index cash markets.

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The Effects of Sidecar on Index Arbitrage Trading and Non-index Arbitrage Trading:Evidence from the Korean Stock Market (한국주식시장에서 사이드카의 역할과 재설계: 차익거래와 비차익거래에 미치는 효과를 중심으로)

  • Park, Jong-Won;Eom, Yun-Sung;Chang, Uk
    • The Korean Journal of Financial Management
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    • v.24 no.3
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    • pp.91-131
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    • 2007
  • In the paper, the effects of sidecar on index arbitrage trading and non-index arbitrage trading in the Korean stock market are examined. The analyses of return, volatility, and liquidity dynamics illustrate that there are no distinct differences for index arbitrage group and non-index arbitrage group surrounding the sidecar events. For further analysis, we construct pseudo-sidecar sample and analyse the effects of the actual sidecar and pseudo-sidecar on arbitrage sample and non-index arbitrage sample. The result of analysis using pseudo-sidecar shows that the differences between index arbitrage group and non-index arbitrage group are larger in pseudo-sidecar sample than in actual sidecar sample. This means that former results can be explained by temporary order clustering in one side before and after the event. Sidecar has little effect on non-index arbitrage group, however, it has relatively large effect on arbitrage group. These results imply that it needs to redesign the sidecar system of the Korean stock market which applies for all program trading including arbitrage and non-index arbitrage trading.

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Expiration-Day Effects: The Korean Evidence (주가지수 선물과 옵션의 만기일이 주식시장에 미치는 영향: 개별 종목 분석을 중심으로)

  • Choe, Hyuk;Eom, Yun-Sung
    • The Korean Journal of Financial Management
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    • v.24 no.2
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    • pp.41-79
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    • 2007
  • This study examines the expiration-day effects of stock index futures and options in the Korean stock market. The so-called 'expiration-day effects', which are the abnormal stock price movements on derivatives expiration days, arise mainly from cash settlement. Index arbitragers have to bear the risk of their positions unless they liquidate their index stocks on the expiration day. If many arbitragers execute large buy or sell orders on the expiration day, abnormal trading volumes are likely to be observed. If a lot of arbitragers unwind positions in the same direction, temporary trading imbalances induce abnormal stock market volatility. By contrast, if some information arrives at market, the abnormal trading activity must be considered a normal process of price discovery. Stoll and Whaley(1987) investigated the aggregate price and volume effects of the S&P 500 index on the expiration day. In a related study, Stoll and Whaley(1990) found a similarity between the price behavior of stocks that are subject to program trading and of the stocks that are not. Thus far, there have been few studies about the expiration-day effects in the Korean stock market. While previous Korean studies use the KOSPI 200 index data, we analyze the price and trading volume behavior of individual stocks as well as the index. Analyzing individual stocks is important for two reasons. First, stock index is a market average. Consequently, it cannot reflect the behavior of many individual stocks. For example, if the expiration-day effects are mainly related to a specific group, it cannot be said that the expiration of derivatives itself destabilizes the stock market. Analyzing individual stocks enables us to investigate the scope of the expiration-day effects. Second, we can find the relationship between the firm characteristics and the expiration-day effects. For example, if the expiration-day effects exist in large stocks not belonging to the KOSPI 200 index, program trading may not be related to the expiration-day effects. The examination of individual stocks has led us to the cause of the expiration-day effects. Using the intraday data during the period May 3, 1996 through December 30, 2003, we first examine the price and volume effects of the KOSPI 200 and NON-KOSPI 200 index following the Stoll and Whaley(1987) methodology. We calculate the NON-KOSPI 200 index by using the returns and market capitalization of the KOSPI and KOSPI 200 index. In individual stocks, we divide KOSPI 200 stocks by size into three groups and match NON-KOSPI 200 stocks with KOSPI 200 stocks having the closest firm characteristics. We compare KOSPI 200 stocks with NON-KOSPI 200 stocks. To test whether the expiration-day effects are related to order imbalances or new information, we check price reversals on the next day. Finally, we perform a cross-sectional regression analysis to elaborate on the impact of the firm characteristics on price reversals. The main results seem to support the expiration-day effects, especially on stock index futures expiration days. The price behavior of stocks that are subject to program trading is shown to have price effects, abnormal return volatility, and large volumes during the last half hour of trading on the expiration day. Return reversals are also found in the KOSPI 200 index and stocks. However, there is no evidence of abnormal trading volume, or price reversals in the NON-KOSPI 200 index and stocks. The expiration-day effects are proportional to the size of stocks and the nearness to the settlement time. Since program trading is often said to be concentrated in high capitalization stocks, these results imply that the expiration-day effects seem to be associated with program trading and the settlement price determination procedure. In summary, the expiration-day effects in the Korean stock market do not exist in all stocks, but in large capitalization stocks belonging to the KOSPI 200 index. Additionally, the expiration-day effects in the Korean stock market are generally due, not to information, but to trading imbalances.

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