• Title/Summary/Keyword: 가격변동성

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A Design and Implementaion on the Trading system employing Gibbs Effect at Market Opening Time (Gibbs Effect를 이용한 시초가 매매System에 대한 설계 및 구현)

  • Lee, Jung-Youn;Hwang, Sun-Myung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2014.04a
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    • pp.612-614
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    • 2014
  • 급격한 가격변동에 대한 다양한 속성을 갖는 주가 기대치가 상이하여 기대치 가격을 중심으로 주가가 오르고 내리는 현상이 항상 발생한다. 이 현상은 Gibbs Effect와 매우 흡사한 성격을 갖고 있다. 장이 시작할때와 끝날때의 변동성을 수학적으로 모델링하고 이를 기반으로 한 거래기법을 연구 할 필요성을 갖게되어 시스템구현을 통해 매매기법을 분석하게 되었다.

Forecasting Power of Range Volatility According to Different Estimating Period (한국주식시장에서 범위변동성의 기간별 예측력에 관한 연구)

  • Park, Jong-Hae
    • Management & Information Systems Review
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    • v.30 no.2
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    • pp.237-255
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    • 2011
  • This empirical study is focused on practical application of Range-Based Volatility which is estimated by opening, high, low, closing price of overall asset. Especially proper forecasting period is what I want to know. There is four useful Range-Based Volatility(RV) such as Parkinson(1980; PK), Garman and Klass(1980; GK) Rogers and Satchell(1991; RS), Yang and Zhang(2008; YZ). So, four RV of KOPSI 200 index during 2000.5.22-2009.9.18 was used for empirical test. The emprirical result as follows. First, the best RV which shows the best forecasting performance is PK volatility among PK, GK, RS, YZ volatility. According to estimating period forcasting performance of RV shows delicate difference. PK has better performance in the period with financial crisis of sub-prime mortgage loan. if not, RS is better. Second, almost result shows better performance on forecasting volatility without sub-prime mortgage loan period. so we can say that forecasting performance is lower when historical volatiltiy is comparatively high. Finally, I find that longer estimating period in AR(1) and MA(1) model can reduce forecasting error. More interesting point is that the result shows rapid decrease form 60 days to 90 days and there is no more after 90 days. So, if we forecast the volatility using Range-Based volaility it is better to estimate with 90 trading period or over 90 days.

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An Empirical Study on Existence of Arbitrage Opportunities in the KOSPI 200 Futures Market (KOSPI 200 주가지수선물시장에서의 차익거래에 관한 실증연구)

  • Rhieu, Sang-Yup;Kim, Jae-Mahn
    • Korean Business Review
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    • v.16
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    • pp.145-168
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    • 2003
  • This study is mainly aimed at analyzing the influence of the divergency(mispricing) between KOSPI 200 theoretical prices and its real prices of KOSPI 200 spot index, considering the existence of arbitrage opportunity from the mispricing. The data in this study are the daily prices of 1262 days, from 3 May 1996 to 14 December 2000. The results of our empirical study represent that the real prices in KOSPI 200 Stock Index Futures are continuously undervalued relative to their corresponding theoretical prices. Our study reconfirms the results from previous studies conducted at the domestic and overseas markets. We conclude that the undervaluation, especially in the market opening period, could come from fear of investors, whose experiences in the stock index futures market are limited, chiefly because of loss and uncertainty of prediction toward interest rates and dividends. Our study also represents that KOSPI 200 index shows more volatilities during days with mispricing relative to days without mispricing.

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Real Option Analysis for Medium-scale CHP Plant Investment with Volatile Electricity Prices (실물옵션을 이용한 소형열병합발전의 경제성 평가 : 전력가격 변동성을 고려하여)

  • Park, Hojeong;Jang, Chulho
    • Environmental and Resource Economics Review
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    • v.16 no.4
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    • pp.763-779
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    • 2007
  • The combined heat-and-power (CHP) plant is recently suggested as an effective resolution in response to recent rising oil prices and the Kyoto Protocol. This research provides a model for economic appraisal to evaluate CHP investment. Real option model is developed to incorporate a case where the investment is irreversible and underlying revenue is stochastic. The analysis shows that power plant capacity more than 40 Gcal makes CHP investment profitable while the results may vary 10 modest level with respect to investment cost, heat sales price and discount rate.

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한국증권시장(韓國證券市場)에서 거래가격분포(去來價格分布)와 가격제한폭(價格制限幅)의 영향(影響)

  • Park, Jong-Ho
    • The Korean Journal of Financial Management
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    • v.9 no.2
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    • pp.243-270
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    • 1992
  • 본 연구에서는 우리나라 시장이 미국시장과 다른 점을 이용하여 시가와 종가를 비교하여 동시호가방식(同時呼價方式)과 접속매매방식(接續賣買方式)의 차이를 추정하는 것이 적절한 것인지와 거래가격에 대한 가격제한폭(價格制限幅)의 영향(影響)을 살펴보았다. 여기서는 가격제한폭의 영향을 고려하기 위해 수익률이 아니라 절대가격변동(絶對價格變動)을 대상으로 하였다. 결과는 다음과 같다. 1) 일별 그리고 하루중 가격변화의 분포는 정규분포라고 할 수 없다. 2) 종가가 아니라도 가격제한폭의 영향을 받으며 상한가가 하한가보다 2.5배 이상 주가 변동을 제약한다고 할 수 있다. 시간대로는 종가를 제외하고는 오전종가에서 그 영향이 가장 크다. 3) 동시호가와 접속매매 방식에서 분산과 자기상관계수의 일관성 있는 차이를 발견할 수 없었다. 따라서 시가의 분산이 종가의 분산보다 크다는 결과는 거래방식의 차이뿐만아니라 하루중 첫번째 거래와 마지막 거래라는 특정 시간대의 가격이기 때문에 갖는 특성도 중요하다. 4) 각 시간대 별 가격 변화가 동일한 분포를 갖는가를 비모수 검증 방법에 의해 검증했을 때 접속매매인 오전종가와 오후 접속매매 종가의 분포는 다르다고 할 수 없었으며 시가와 종가는 다른 시간대의 분포와 유의하게 달랐다. 5) 하루중 어느 시간대에 가격변화의 분산이 가장 큰가를 검증한 결과 오전시가에서 오전종가까지 시간에서 분산이 가장 켰다. 그 다음으로는 오후 접속매매 종가에서 오후동시호가 종가까지로 이 시간대는 거의 시간차가 없다는 점에서 놀라운 현상이라 하겠다. 6) 종가를 제외하고는 모든 시간대에서 가격반전현상이 있었다. 이러한 현상은 거래시간 동안은 시장에 새로운 정보가 계속 도달하지만 비거래시간에는 정보가 도달하지 않아 이전 정보에 대해 조정하게 되며 이 조정에서 관성을 갖는다고 할 수 있다.

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Option Pricing with Leptokurtic Feature (급첨 분포와 옵션 가격 결정)

  • Ki, Ho-Sam;Lee, Mi-Young;Choi, Byung-Wook
    • The Korean Journal of Financial Management
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    • v.21 no.2
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    • pp.211-233
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    • 2004
  • This purpose of paper is to propose a European option pricing formula when the rate of return follows the leptokurtic distribution instead of normal. This distribution explains well the volatility smile and furthermore the option prices calculated under the leptokurtic distribution are shown to be closer to the market prices than those of Black-Scholes model. We make an estimation of the implied volatility and kurtosis to verify the fitness of the pricing formula that we propose here.

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The Price Discovery ana Volatility Spillover of Won/Dollar Futures (통화선물의 가격예시 기능과 변동성 전이효과)

  • Kim, Seok-Chin;Do, Young-Ho
    • The Korean Journal of Financial Management
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    • v.23 no.1
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    • pp.49-67
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    • 2006
  • This study examines whether won/dollar futures have price discovery function and volatility spillover effect or not, using intraday won/dollar futures prices, volumes, and spot rates for the interval from March 2, 2005 through May 30, 2005. Futures prices and spot rates are non-stationary, but there is the cointegration relationship between two time series. Futures returns, spot returns, and volumes are stationary. Asymmetric effects on volatility in futures returns and spot returns does not exist. Analytical results of mean equations of the BGARCH-EC (bivariate GARCH-error correction) model show that the increase of futures returns raise spot returns after 5 minutes, which implies that futures returns lead spot returns and won/dollar futures have price discovery function. In addition, the long-run equilibrium relationship between the two returns could help forecast spot returns. Analytical results of variance equations indicate that short-run innovations in the futures market positively affect the conditional variances of spot returns, that is, there is the volatility spillover effect in the won/dollar futures market. A dummy variable of volumes does not have an effect on two returns but influences significantly on two conditional variances.

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A Study on Price Volatility and Properties of Time-series for the Tangerine Price in Jeju (제주지역 감귤가격의 시계열적 특성 및 가격변동성에 관한 연구)

  • Ko, Bong-Hyun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.6
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    • pp.212-217
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    • 2020
  • The purpose of this study was to analyze the volatility and properties of a time series for tangerine prices in Jeju using the GARCH model of Bollerslev(1986). First, it was found that the time series for the rate of change in tangerine prices had a thicker tail rather than a normal distribution. At a significance level of 1%, the Jarque-Bera statistic led to a rejection of the null hypothesis that the distribution of the time series for the rate of change in tangerine prices is normally distributed. Second, the correlation between the time series was high based on the Ljung-Box Q statistic, which was statistically verified through the ARCH-LM test. Third, the results of the GARCH(1,1) model estimation showed statistically significant results at a significance level of 1%, except for the constant of the mean equation. The persistence parameter value of the variance equation was estimated to be close to 1, which means that there is a high possibility that a similar level of volatility will be present in the future. Finally, it is expected that the results of this study can be used as basic data to optimize the government's tangerine supply and demand control policy.

Analysis of the Effect of Energy Prices on Investment Sentiment: Applying the Wavelet Analysis Method (에너지 가격이 투자 심리에 미치는 효과 분석: 웨이블릿 분석 방법 적용)

  • Choi, Ki-Hong;Kim, Dong-Yoon
    • Journal of Korea Port Economic Association
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    • v.37 no.2
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    • pp.119-131
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    • 2021
  • Energy is an essential element in economic activity and people's lives, an important resource used by various industries, and the financialization of commodity markets has led to the growing importance of crude oil turning into the same asset as other assets. Accordingly, studies analyzing the correlation between energy prices and investor sentiment explain that investor sentiment affects oil prices through economic factors and speculation. In this study, we wanted to analyze whether the impact of the most representative changes in oil prices affects investor decision making, affecting investor sentiment, and applying wavelet consistency analysis to determine how energy prices relate to investor sentiment. Studies show that policies should be focused on policy and market changes because energy prices differ by time scale and investment sentiment should be more influential in the long term than in the short term.

Empirical Investigation to The Asymmetric Structure between Raw Material Price and Baltic Dry-bulk Index (원자재가격과 건화물선 운임지수의 비대칭구조 분석)

  • Kim, Hyun-Sok
    • Journal of Korea Port Economic Association
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    • v.34 no.4
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    • pp.181-190
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    • 2018
  • The goal of this study is empirically to investigate the asymmetric relationship between two variables using the dry cargo freight rates and raw material price data from January 2012 to May 2018. First, we estimate the asymmetry of macroeconomic indicators of commodity prices by using a two - step threshold cointegration test. Second, the asymmetric relation test of the trade balance of existing commodity price changes is tested by bypassing to the high frequency dry cargo freight rate index. As a result of the estimation, in contrast to the existing linear analysis, each boundary value for the lower limit and the upper limit has different asymmetry. This implies that the period of fluctuation of the sudden residual that causes irregular rate of return fluctuations does not establish a long term equilibrium relationship between the raw material price and the dry cargo freight rate. Therefore, in order to consider the sudden price change in the analysis, it is necessary to include the band of inaction that controls the irregular volatility, which is consistent with the asymmetry hypothesis.