• Journal of the Korea Society of Computer and Information
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• v.7 no.2
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• pp.196-204
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• 2002

This paper examines the price discovery role of the KOSPI 200 futures index for its cash index. It was used the intrady data for KOSPI 200 and futures index from July 1998 to June 2001. The existing Preceding study for KOSPI 200 futures index was used the data of early market installation, but this study is distinguished to use a recent data accompanied with the great volume of transaction and various investors. We established three hypothesis to examine whether there is the price discovery role in the KOPSI 200 futures index and the characteristics of that. First, to examine whether the lead-lag relation is induced by the infrequent trading of component stocks, observations are sorted by the size of the trading volume of cash index. In a low trading volume, the long lead time is reported and the short lead time in a high volume. It is explained that the infrequent trading effect have an influence on the price discovery role. Second, to examine whether the lead-lag relation is different under bad news and good news, observations are sorted by the sign and size of cash index returns. In a bad news the long lead time is reported and the short lead time in a good news. This is explained by the restriction of"short selling" of the cash index Third, we compared estimates of the lead and lag relationships on the expiration day with those on days prior to expiration using a minute-to-minute data. The futures-to-spot lead time on the expiration day was at least as long as other days Prior to expiration, suggesting that "expiration day effects" did not demonstrate a temporal character substantially different form earlier days. Thus, while arbitrage activity may be presumed to be the greatest at expiration, such arbitrage transactions were not sufficiently strong or Pervasive to alter the empirical price relationship for the entire day. for the entire day.

• The Korean Journal of Financial Studies
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• v.8 no.1
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• pp.207-230
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• 2002

본고에서는 한국의 증권시장과 일본의 증권시장이 같은 공매시장(Auction markets)의 형태라도 거래되는 시점에 따라 다른 거래제도에 따라 가격이 결정되는 점도 있어 각 시점별로 양 시장의 주가행태를 가격조정모형을 통하여 비교 분석하였다. 일반적으로 한국과 일본 모두 오전 시가 수익률의 분산이 종가 수익률에서의 분산보다 크고 또한 오전 시가 수익률의 분산이 다른 시점의 수익률의 분산 보다 켰다. 한국 및 일본 양 시장에서 시가수익률의 분산과 음의 시계열상관계수에서 공히 거래정지기간에 따른 노이즈 항목과 거래오류영향을 발견하였다. 그러나 한국시장에서 거래오류나 노이즈가 일본시장보다 큼을 알 수 있었다. 두 시장에서 모두 오전개장과 오후개장을 다른 시점과 비교하면 주가의 과다반응을 추정 할 수 있으나 일본시 장의 경우는 한국시장에서 보다 미미하였다. 한국시장의 경우 오후종가가 영과 통계학적으로 크게 다르게 양의 수를 가지고 있음은 시장의 효율성에서 한국시장이 일본시장에 비해 떨어지고 시장 정보에 대하여 주가의 가격조정속도가 늦다고 추정할 수 있었고 이는 한국시장이 아직은 일본에 비해 가격제한폭이나 그밖에 거래제한 요소가 일본보다 크기 때문으로 추정된다. 한국시장에서는 주식수익률의 변동성은 노이즈거래가설(Noise trading hypothesis)이 더 설명력이 있다고 추정되고 일본의 경우 사적정보가설(Private information hypothesis)과 노이즈거래가설(Noise trading hypothesis) 둘 다 설명력이 있지만 전자가 더 우위일 가능성이 있었다. 결론적으로 위의 결과를 종합하면 거래메커니즘 차이가 주가의 행태에 크게 다르게 미친다고는 할 수 없고 단지 주가의 정보전달 속도 및 노이즈 그리고 시장의 효율성에 따라 주가행태에 어느 정도 차이를 일으킨다고 할 수 있었다.

• The Korean Journal of Financial Management
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• v.15 no.1
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• pp.95-116
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• 1998

선물시장이 개설된 이후 최근까지 약 2년동안 거래된 주가지수선물 8개의 최근월물에 대한 실제가격과 이론가격과의 괴리율을 분석한 결과 한개의 결제월물을 제외한 1개의 최근월물의 선물가격이 평균적으로 이론가보다 낮게 형성되어 주가지수선물시장이 개설된 이후 대부분의 기간동안 선물가격의 저평가상태가 지속되고 있는 것으로 나타났으며, 선물시장이 양적으로 성장한 97년 10월부터 괴리율의 편차가 더 심화되는 경향도 발견되었다. 가격괴리현상을 이용한 차익거래로 실제 수익을 올릴 수 있었는가에 대한 점증에서는 거래비용에서 유리한 위치에 있는 증권회사의 경우 분석대상 총거래일수 544일중에서 차익거래가 가능했던 거래일은 301일이었고, 거래비용측면에서 상대적으로 불리한 일반투자자의 경우에도 총 190일이나 차익거래가 가능했던 것으로 분석되었다. 이처럼 거래비용을 고려하고도 차익거래로 이익을 실현할 수 있는 기회가 즉시에 소멸되지 않고 상당기간동안 지속되는 것으로 나타났으며, 이는 기관투자가의 선물에 대한 인식 부족과 증권회사의 공매도 제약 둥과 같은 제도적 요인, 그리고 차익거래 수익의 불확실성 등에 따라 차익거래가 활발하게 이루어지지 못한데서 기인한 것으로 보인다. 가격괴리현상과 선물만기일까지의 잔존기간과의 관계는 유의적이어서, 선물만기일까지 잔존기간이 길수록 괴리율이 더 크고 만기일에 접근함에 따라 괴리율은 감소하였다.

• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.67-75
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• 2023

Stock price prediction is an important topic extensively discussed in the financial market, but it is considered a challenging subject due to numerous factors that can influence it. In this research, performance was compared and analyzed by applying time series prediction models (LSTM, GRU) and non-time series prediction models (RF, SVR, KNN, LGBM) that do not take into account the temporal dependence of data into stock price prediction. In addition, various data such as stock price data, technical indicators, financial statements indicators, buy sell indicators, short selling, and foreign indicators were combined to find optimal predictors and analyze major factors affecting stock price prediction by industry. Through the hyperparameter optimization process, the process of improving the prediction performance for each algorithm was also conducted to analyze the factors affecting the performance. As a result of feature selection and hyperparameter optimization, it was found that the forecast accuracy of the time series prediction algorithm GRU and LSTM+GRU was the highest.

• Journal of Practical Engineering Education
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• v.16 no.1_spc
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• pp.51-58
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• 2024

This paper examines the differences between the Korean and American stock markets using the Kospi and S&P 500 indices and discusses policy implications through them. To this end, in addition to the existing time series analysis method, a deep learning method was used to compare markets, and the comparison was made in terms of stock price forecasting ability and data generation ability. In monthly data, the difference between time series was not large, and in daily data, the difference in terms of stability was weak, and there was no significant difference in predictive power or simulation data generation. As shown in the results of this study, if there is not much difference in market price movement patterns between Korea and the United States, tax benefits for long-term stocks investment will be effective against the side effects of short selling.

• Journal of the Daesoon Academy of Sciences
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• v.28
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• pp.37-72
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• 2017

The purpose of this article is to study the prospect of implementing a public common practice of ethics based on the 'Reordering Works of Heaven and Earth.' The 'Reordering Works of Heaven and Earth' demonstrated the prospect of a public common practice of ethics through the shared public action that would connect and mediate both the public domain and the private domain. In addition, the 'Reordering Works of Heaven and Earth' of Gucheon Sangje (九天上帝) provided us with a complete transformation, meaning the opening of a new era, transforming heaven and earth from their state in the Prior World to their optimized state in the Later World. This culminates in a new manifestation of a peaceful world revealed a prosperity and the prospect of common happiness and common order for the public. In addition, the 'Reordering Works of Heaven and Earth' has a public value as a religious culture that responds to social change and social needs. The 'Reordering Works of Heaven and Earth' revealed the prospect of a public common practice of ethics, placed importance on creating a new foundation, and restoring phenomena back to its original order. The 'Reordering Works of Heaven and Earth' presented various multi-faceted, multi-layered outlets of soteriology while exploring solutions to public issues and revealing human dignity. Through the new construction of Heaven and Earth, Gucheon Sangje had intervened in projects for human relief. The public ethical indicators of 'the actor' here are in line with those of the 'Non-action Tao' of Laozi. As the cosmos enters into the new epoch, humans have living together with the previous cosmic principle. Now we can expect the Prior World to open into a different era as humans embrace a cosmic life of 'Non-action Tao.' The active conjunction of the virtues of yin and yang is an idea of horizontal communication related to reordering of the universe. The harmonious union of divine beings and human beings suggests the way of enabling vertical communication. The resolution of grievances for the mutual beneficence of life is an ethics of peace that aims at achieving coexistence and prosperity. The private realization of Tao and the completion of the Tao in the world suggest the prospect of a common practice of ethics as means of implementing human dignity.

• The Korean Journal of Financial Management
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• v.20 no.1
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• pp.191-212
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• 2003

Recently, there is a growing body of literature that suggests that information inefficiency is one of the causes of the asymmetric volatility. If this explanation for the asymmetric volatility is appropriate, then innovations, such as the introduction of futures, may be expected to impact the asymmetric volatility of stock market. As transaction costs and margin requirements in the futures market are lower than those in the spot market, new information is transmitted to futures prices more quickly and affects spot prices through arbitrage trading with spots. Also, the merit of the futures market may attract noise traders away from the spot market to the futures market. This study examines the impact of futures on the asymmetry of stock market volatility. If the asymmetric volatility is significant lower post-futures and exist in the futures market, it has validity that the asymmetric volatility is caused by information inefficiency in the spot market. The data examined are daily logarithmic returns on KOSPI 200 stock price index from January 4, 1993 to December 26, 2000. To examine the existence of the asymmetric volatility in the futures market, logarithmic returns on KOSPI 200 futures are used from May 4, 1996 to December 26, 2000. We used a conditional mode of TGARCH(threshold GARCH) of Glosten, Jagannathan and Runkel(1993). Pre-futures the spot market exhibits significant asymmetric responses of volatility to news and post-futures asymmetries are significantly lower, irrespective of bear market and bull market. The results suggest that the introduction of stock index futures has an effect on the asymmetric volatility of the spot market and are inconsistent with leverage being the sole explanation of asymmetry. However, it is found that the volatility of futures is not so asymmetric as expected.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.320-332
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• 2021

This paper investigates the influence of stock-level left-tail risk, which is defined using Value-at-Risk(VaR) estimates of past one-year daily stock returns, in the expected stock returns in the Korean stock market. Our results are summarized as follows: First, monthly-constructed zero-cost portfolios that buy (shortsell) the highest (lowest) left-tail risk decile in the previous month exhibit an average monthly return (called left-tail risk premium) of -2.29%. Second, Fama-MacBeth cross-sectional regressions suggest that left-tail risk in the previous month shows significant and negative explanatory power over return in this month, after controlling for various firm characteristics such as firm size, B/M, market beta, liquidity, maximum daily return, idiosyncratic volatility, and skewness. Third, the stocks with larger recent month loss have lower returns in the next month. Fourth, the magnitude of left-tail risk premium is negatively related with lagged market-level volatility. These results support the hypothesis from a perspective of behavioral finance that the overpricing of stocks with left-tail risk is attributed to the investors' underreaction to it.