• Title/Summary/Keyword: Stock Market

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The Intraday Lead-Lag Relationships between the Stock Index and the Stock Index Futures Market in Korea and China (한국과 중국의 현물시장과 주가지수선물시장간의 선-후행관계에 관한 연구)

  • Seo, Sang-Gu
    • Management & Information Systems Review
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    • v.32 no.4
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    • pp.189-207
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    • 2013
  • Using high-frequency data for 2 years, this study investigates intraday lead-lag relationship between stock index and stock index futures markets in Korea and China. We found that there are some differences in price discovery and volatility transmission between Korea and China after the stock index futures markets was introduced. Following Stoll-Whaley(1990) and Chan(1992), the multiple regression is estimated to examine the lead-lag patterns between the two markets by Newey-West's(1987) heteroskedasticity and autocorrelation consistent covariance matrix(HAC matrix). Empirical results of KOSPI 200 shows that the futures market leads the cash market and weak evidence that the cash market leads the futures market. New market information disseminates in the futures market before the stock market with index arbitrageurs then stepping in quickly to bring the cost-of-carry relation back into alignment. The regression tests for the conditional volatility which is estimated using EGARCH model do not show that there is a clear pattern of the futures market leading the stock market in terms of the volatility even though controlling nonsynchronous trading effects. This implies that information in price innovations that originate in the futures market is transmitted to the volatility of the cash market. Empirical results of CSI 300 shows that the cash market is found to play a more dominant role in the price discovery process after the Chinese index started a sharp decline immediately after the stock index futures were introduced. The new stock index futures markets does not function well in its price discovery performance at its infancy stage, apparently due to high barriers to entry into this emerging futures markets. Based on EGAECH model, the results uncover strong bi-directional dependence in the intraday volatility of both markets.

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Interactions between Stock Price and Key Macroeconomic Variables (주가(株價)와 주요거시경제변수간(主要巨視經濟變數間)의 상호관계(相互關係)에 대한 실증분석(實證分析))

  • Kim, Jun-il
    • KDI Journal of Economic Policy
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    • v.14 no.4
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    • pp.63-77
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    • 1992
  • This paper examined interactions between stock price and key macroeconomic variables over the period of 1975-1992. It has been found that more than 60% of real stock price changes can be well explained by movements in key macroeconomic variables, particularly in net exports and industrial production. On the other hand, real stock price changes were found to have a significant explanatory power for plant and equipment investments for the sample period of 1975-1985 during which the stock market was stable. In contrast, no significant linkage between stock price changes and investments emerged over the subsample period of 1986-92 despite the sharp expansion of the stock market in terms of trade volume. Based on such findings, two major policy implications were derived; (i) the government's intervention in the stock market to stabilize stock prices would be ineffective unless the stable economic growth supports the market fundamental, and (ii) the stock price stability is a precondition for the stock market to play a key role in mobilizing resources to finance the firm's long-term capital.

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A study on stock price prediction system based on text mining method using LSTM and stock market news (LSTM과 증시 뉴스를 활용한 텍스트 마이닝 기법 기반 주가 예측시스템 연구)

  • Hong, Sunghyuck
    • Journal of Digital Convergence
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    • v.18 no.7
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    • pp.223-228
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    • 2020
  • The stock price reflects people's psychology, and factors affecting the entire stock market include economic growth rate, economic rate, interest rate, trade balance, exchange rate, and currency. The domestic stock market is heavily influenced by the stock index of the United States and neighboring countries on the previous day, and the representative stock indexes are the Dow index, NASDAQ, and S & P500. Recently, research on stock price analysis using stock news has been actively conducted, and research is underway to predict the future based on past time series data through artificial intelligence-based analysis. However, even if the stock market is hit for a short period of time by the forecasting system, the market will no longer move according to the short-term strategy, and it will have to change anew. Therefore, this model monitored Samsung Electronics' stock data and news information through text mining, and presented a predictable model by showing the analyzed results.

Long Memory Characteristics in the Korean Stock Market Volatility

  • Cho, Sinsup;Choe, Hyuk;Park, Joon Y
    • Communications for Statistical Applications and Methods
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    • v.9 no.3
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    • pp.577-594
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    • 2002
  • For the estimation and test of long memory feature in volatilities of stock indices and individual companies semiparametric approach, Geweke and Porter-Hudak (1983), is employed. Empirical study supports the strong evidence of volatility persistence in Korean stock market. Most of indices and individual companies have the feature of long term dependence of volatility. Hence the short memory models are unable to explain the volatilities in Korean stock market.

Quantitative Causal Reasoning in Stock Price Index Prediction Model

  • Kim, Myoung-Joon;Ingoo Han
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1998.10a
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    • pp.228-231
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    • 1998
  • Artificial Intelligence literatures have recognized that stock market is a highly unstructured and complex domain so that it is difficult to find knowledge that belongs to that domain. This paper demonstrates that the proposed QCOM can derive global knowledge about stock market on the basis of a set of local knowledge and express it as a digraph representation. In addition, inference mechanism using quantitative causal reasoning can describe the qualitative and quantitative effects of exogenous variables on stock market.

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Relationship between Stock Market & Housing Market Trends and Liquidity (주식시장과 주택시장의 동향 및 유동성과의 관계)

  • Choi, Jeong-Il
    • Journal of Digital Convergence
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    • v.19 no.6
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    • pp.133-141
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    • 2021
  • Governments of each country are actively implementing fiscal expansion policies to recover the real economy after Corona 19. In Korea, the stock market and housing market are greatly affected as liquidity in the market increases due to the implementation of disaster subsidies and welfare policies. The purpose of this study is to analyze the relationship between stock market and housing market trends and liquidity. Data were collected by the Bank of Korea and Kookmin Bank. The analysis period is from January 2000 to December 2020, and monthly data are used. For empirical analysis, the rate of change from the same month of the previous year was calculated for each variable, and numerical analysis, index analysis, and model analysis were performed. As a result of the analysis, it was found that the stock index showed a positive(+) relationship with the house price, while a negative(-) relationship with M2. Previous studies have suggested that, in general, an increase in liquidity affects the stock market and the housing market, and inflation also rises. In this study, it was found that the stock market and the housing market had an effect on each other. However, it was investigated that liquidity showed an inverse relationship with the stock market and had no relationship with the housing market. Through this, this study estimated that there is a time difference in the relationship between liquidity and the stock market & housing market.

Analysis of ASEAN's Stock Returns and/or Volatility Distribution under the Impact of the Chinese EPU: Evidence Based on Conditional Kernel Density Approach

  • Mohib Ur Rahman;Irfan Ullah;Aurang Zeb
    • East Asian Economic Review
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    • v.27 no.1
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    • pp.33-60
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    • 2023
  • This paper analyzes the entire distribution of stock market returns/volatility in five emerging markets (ASEAN5) and figures out the conditional distribution of the CHI_EPU index. The aim is to examine the impact of CHI_EPU on the stock returns/volatility density of ASEAN5 markets. It also examined whether changes in CHI_EPU explain returns at higher or lower points (abnormal returns). This paper models the behaviour of stock returns from March 2011 to June 2018 using a non-parametric conditional density estimation approach. The results indicate that CHI_EPU diminishes stock returns and augments volatility in ASEAN5 markets, except for Malaysia, where it affects stock returns positively. The possible reason for this positive impact is that EPU is not the leading factor reducing Malaysian stock returns; but, other forces, such as dependency on other countries' stock markets and global factors, may have a positive impact on stock returns (Bachmann and Bayer, 2013). Thus, the risk of simultaneous investment in Chinese and ASEAN5 stock markets, except Malaysia, is high. Further, the degree of this influence intensifies at extreme high/low intervals (positive/negative tails). The findings of this study have significant implications for investors, policymakers, market agents, and analysts of ASEAN5.

Trading Using Trend Reversal Pattern Recognition in the Korea Stock Market (추세 반전형 패턴 인식을 이용한 주식 거래)

  • Kwon, Soonchang
    • Korean Management Science Review
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    • v.30 no.1
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    • pp.43-58
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    • 2013
  • Although analysis of charts, which used in stock trading by distinguishing standardized patterns in the movements of stock prices, is simple and easy to use, there can be problems stemming from specific patterns being distinguished as a result of the subjective perspectives of analysts. In accordance with such problems, through the method of template pattern matching, 4 trend reversal patterns were designed and the fitness of the patterns were quantitatively measured. In cases when a stock is purchased when the template pattern fitness value is within a certain range and held for at least 20-days, the average return ratio was analyzed to be higher-with the difference being statistically significant-than the average return ratio attained from trading a stock according to the same method per the Efficient Market Hypothesis. From the results of stock trades of 2 domestic corporations to which the values of the 4 patterns had been applied based on the 4 strategies, it was possible to ascertain differences in the strategy- and pattern-dependent return ratios. Through this study, along with presenting the exceptions for the Efficient Market Hypothesis in stock trading, the fitness level of quantitative chart patterns was measured and the theoretical basis for application of such fitness level was proposed.

Investigating Repurchase Intention on Sharia Shares: An Empirical Evidence of the Sharia Stock Market in Indonesia

  • MURHADI, Thasrif;AZIZ, Nasir;UTAMI, Sorayanti;MAJID, M. Shabri Abd
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.5
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    • pp.761-768
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    • 2021
  • The Islamic capital market in Indonesia is currently developing rapidly marked by the massive growth of sharia stock investors. It is followed by the development of an online sharia trading platform by stock brokerage companies so that investors can transact online sharia shares. From the number of existing stock investors, however, there are still very few Islamic stock investors who repurchase shares after the previous purchase. This really attracted the attention of researchers to investigate the repurchase intention of sharia share in the Indonesia stock market. 415 samples who are Islamic stock investors in the Indonesia stock market have filled out distributed questionnaires. Then, the data was processed using SEM Amos. The results of this study found that perceived enjoyment, perceived ease to use, and expectation have a positive and significant effect on investor satisfaction. Then, perceived enjoyment and expectation have a positive and significant effect on repurchase intention, while perceived ease to use has a negative and insignificant effect on repurchase intention, but has a positive effect through the mediating variable investor satisfaction. Investor satisfaction has a positive and significant effect on repurchase intention, and investor satisfaction is a good mediator for the exogenous variables in this study.

Additional Evidence on the Market Reaction to Stock Option Grants (스톡옵션 부여공시에 따른 주가상승효과 재검토)

  • Sul, Won-Sik;Kim, Soo-Jung
    • The Korean Journal of Financial Management
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    • v.20 no.1
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    • pp.61-92
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    • 2003
  • As an extension of previous researches with the conclusion that the announcement of adopting stock options generates positive abnormal returns, this paper examined whether the abnormal return changes over time or varies depending on the number of stock options granted. Empirical analysis was made to find whether the announcement of stock option awards has the same response in the stock market from the early days when stock option plans had been introduced in the Korean stock market till today when it was widespread. Results indicate that the announcement effect had been on a gradual decline since 2000. In addition, it is found that if a company announces stock option awards several times, the abnormal return gradually declines in proportion of the number of stock options granted. This implies that as the stock option awards become widespread, the positive effect that the announcement of adopting stock options generates as news has been on a relatively steady decrease. In short, it leads to a conclusion that the more companies grant stock options, and the more stock options a company announces, the less impact it has on the increase in the firm's value.

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