• Title/Summary/Keyword: stock trading

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The Dynamic Relationship between Stock Returns and Investors' Behavior : Trading Hour and Non-trading Hour Analysis (주가와 투자 주체의 상호 관계에 관한 연구 : 거래 시간대와 비거래 시간대 수익률 분석)

  • Ko, Kwang-Soo;Kim, Kwang-Ho
    • The Korean Journal of Financial Management
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    • v.27 no.2
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    • pp.145-167
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    • 2010
  • We investigate the dynamic relationship between stock returns and investors' behavior. For the putpose of the paper, daily KOSPI returns are decomposed into two parts: overnight returns and daytime returns. Overnight return is measured by the closing price of the previous day and the opening price of the current day. And daytime return is measured by the opening and closing prices of the current day. Qvernight returns are assumed to reflect global economic information, and daytime returns, domestic or local information. Major results are as follows: Foreign investors' behavior has an effect on the overnight returns more than the daytime returns. Individual investors' behavior, however, has little effect on the overnight returns, but not the daytime returns. Consequently, forecast error variance decomposition shows that the variance explanation power of foreign investors is higher in overnight returns rather than in the daytime returns. And the variance explanation power of individual investors is higher in daytime returns rather than in overnight returns. It implies that foreign investors employ dynamic hedging strategies and give more weight to global economic information rather than to domestic information. We conclude that investment behavior of foreign investors and domestic individuals is based on different economic information. This paper's findings are consistent with the economic situation that the Korean capital markets have faced since the global financial crisis of August 2008.

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A study on Living Culture of Korea through accounting records written by Song, Whasun at Hongcheon-Up in early 20th century (홍천읍 송화선(宋化善) 장기(掌記)를 통해 본 20세기 초 한국의 생활 문화 연구)

  • Cho, Imsun;Lee, Eunjin
    • Journal of Fashion Business
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    • v.21 no.1
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    • pp.148-165
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    • 2017
  • An assortment of daily supplies have been documented in and accounting book that Hwa-sun Song, a wholesale dealer in Hongcheon, Gangwon-do, sent to Young-hui Sin, a customer. This study analyzed a total of 163 documentations in the accounting book between 1910 to 1916, which includes types of daly supplies, trading volume, and prices, maintained accounting between. Consequently, we are able to indentify companies that produced the applicable goods, names of products, units by which goods were counted, and the lowest and highest prices prevailing, along with kinds of goods patronized in everyday life in Hongcheon in the early 20th century. Paper had the maximum trading volume. The second, most traded were cigarettes, a symbol of the new culture. These were traded under various brand names, such as Kkotpyo, Guksyu, Sanhopyo, Syonghak, and Joil. Foodstuffs, were the third most traded items, including fish, fruits, sugar, Waeddeok, Chilwaeddeok, Color candies and Okchyun candies. Our results indicate that the snack food business had developed since the 19th century. Lighting equipment, oil, candles, matches as well as traditional oil lamps and flints cornered the fourth largest stock being traded. Medications were fifth, with prescriptions written for Insohwan, Hoechyungsan and Siungo, including quinine, a medicine for malaria. Other trades included kitchen appliances such as soup bowls, porcelain bowls, kettles, and drinking cups, and a variety of daily supplies such as mirrors, mats, umbrellas, Geumjiwaemil, hair oil imported from Japan, and soap.

A Study on the Automatic Adjustment of the Parabolic SAR by using the Fuzzy Logic (퍼지이론을 이용한 파라볼릭 SAR의 자동 조절에 관한 연구)

  • Chae, Seog;Shin, Soo-Young;Kong, In-Yeup
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.2
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    • pp.230-236
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    • 2011
  • This paper proposes the possibility which the fuzzy theory can be used to improve the performance of the parabolic SAR(Stop-And-Reverse) indicator in the trading systems for stock market. The simulation results with data of the KOSPI 200 future show that the occurred number of trading signals and the false signals in the proposed fuzzy SAR indicator is less than that in the conventional SAR indicator. In the conventional SAR system, the incremental value of the acceleration factor is usually setted as 0.02 and the maximum value of the acceleration factor is usually limited as 0.2. But in the proposed fuzzy SAR system, the incremental value and the maximum value of the acceleration factor are automatically adjusted by using the fuzzy rules, which are designed based-on the difference between short-term moving average and medium-term moving average and also based-on the slope of short-term moving average.

A Study on the Loyalty to Web Based Cyber Trading Systems (웹기반 사이버트레이딩시스템의 충성도에 관한 연구)

  • 이원호;김은홍;권순범
    • Journal of the Korean Operations Research and Management Science Society
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    • v.29 no.2
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    • pp.97-116
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    • 2004
  • Recently, e portion of on-line stock brokerage has been rapidly increased to be more than 50%, on the basis of contracted money. The usage of wCTS(Web Based Cyber Trading Systems) has now got into the steady state over the initial diffusion stage, which means wCTS has got more-than-half customer base in on-line service. Therefore, brokerage service providers have their competitive strategic focus on customer retention through the enhancement of customer loyalty. This study provides framework and survey results on explanation of wCTS user's loyalty, what and how factors affect wCTS user's loyalty. We adopt the results of early studies on information technology acceptance and diffusion such as TAM(Technology Acceptance Model) and IDT(Innovation Diffusion Theory). We also referred loyalty theory of marketing area and studios on CTS usage. We categorized explanation factors as three groups characteristics of users, characteristics of system, social environment. And we assumed that these three factors could affect the loyalty through two parameters : customer satisfaction and trust to the system. This study firstly shows that the ease of use and usefulness, the major factors of TAM. can also be applied to the loyalty of wCTS with resulting that the usefulness is more important than the ease of use In wCTS. Secondly, it shows that the innovative and risk-sensitive user has the lower degree of loyalty. Thirdly, it shows that the satisfaction and trust impact the loyalty simultaneously, the trust particularly impacts more strongly than the loyalty, due to the characteristics of monetary transaction in wCTS. This study provides meaningful results to the other on-line EC service fields as a first empirical research regarding the loyalty to wCTS which is a typical on-line EC service.

Learning-by-doing Effect on Price Determination System in Korea's Emission Trading Scheme (한국 탄소배출권시장 가격결정체계의 학습효과 연구)

  • Son, Donghee;Jeon, Yongil
    • Environmental and Resource Economics Review
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    • v.27 no.4
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    • pp.667-694
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    • 2018
  • We analyze the learning-by-doing effects of the allowance pricing system on the Korea's emission trading scheme. The price of allowance (Korean Allowance Unit) is influenced differently by internal market factors and economic conditions variables in the first (January 2015 to June 2016 ) and the second commitment year(January 2016 to June 2017). The prices and transaction volumes of complementary credits (KCU and KOC) as well as economic conditions variables (such as call rate, exchange rate, stock price) are statistically significant only for the second commitment year. Thus, the learning-by-doing effect makes the market participation decision on K-ETS market more efficient in the second commitment year, adopting the previous experience and knowledge in the K-ETS market. The factors estimated significantly in both commitment periods include the institutional binary variable for requiring the submission of the emissions verification reports issued both on February and March.

Determinants of Consumer Responses to Retail Out-of-Stocks (점포내 품절상황에서 소비자 반응행동유형별 결정요인)

  • Chun, Dal-Young;Choi, Jong-Rae;Joo, Young-Jin
    • Journal of Distribution Research
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    • v.16 no.4
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    • pp.29-64
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    • 2011
  • Overview of Research: Product availability is one of important competences of store to fulfill consumer needs. If stock-outs which means a product what consumer wants to buy is not available occurs, consumer will face decision-making uncertainty that leads to consumer's negative responses such as consumer dissatisfaction on store. Stockouts was much studied in the field of academia as well as practice in other countries. However, stock-outs has not been researched at all in Marketing and/or Distribution area in Korea. The main objectives of this study are to find out determinants of consumer responses such as Substitute, Delay, and Leave(SDL) when consumer encounters out-of-stock situation and then to examine the effects of these factors on consumer responses. Specifically, this study focuses on situational characteristics(e.g., purchase urgency and surprise), store characteristics (e.g., product assortment and store convenience), and consumer characteristics (e.g., brand loyalty and store loyalty). Then, this study empirically investigates relationships these factors with consumers behaviors such as product substitution, purchase delay, and store switching.

    shows the research model of this study. To accomplish above-mentioned research objectives, the following ten hypotheses were proposed and verified : ${\bullet}$ H 1 : When out-of-stock situation occurs, purchase urgency will increase product substitution but will decrease purchase delay and store switching among consumer responses. ${\bullet}$ H 2 When out-of-stock situation occurs, surprise will decrease product substitution and purchase delay but will Increase store switching among consumer responses. ${\bullet}$ H 3 : When out-of-stock situation occurs, purchase quantities will increase product substitution and store switching but will decrease purchase delay among consumer responses. ${\bullet}$ H 4 : When out-of-stock situation occurs, pre-purchase plan will decrease product substitution but will increase purchase delay and store switching among consumer responses. ${\bullet}$ H 5 : When out-of-stock situation occurs, product assortment will increase product substitution but will decrease purchase delay and store switching among consumer responses. ${\bullet}$ H 6 : When out-of-stock situation occurs, competitive store price image will increase product substitution and purchase delay but will decrease store switching among consumer responses. ${\bullet}$ H 7 : When out-of-stock situation occurs, store convenience will increase product substitution but will decrease purchase delay and store switching among consumer responses. ${\bullet}$ H 8 : When out-of-stock situation occurs, salesperson services will increase product substitution but will decrease purchase delay and store switching among consumer responses. ${\bullet}$ H 9 : When out-of-stock situation occurs, brand loyalty will decrease product substitution but will increase purchase delay and store switching among consumer responses. ${\bullet}$ H 10 When out-of-stock situation occurs, store loyalty will increase product substitution and purchase delay but will decrease store switching among consumer responses. Analysis: Data were collected from 353 respondents who experienced out-of-stock situations in various store types such as large discount stores, supermarkets, etc. Research model and hypotheses were verified using multinomial logit(MNL) analysis. Results and Implications: is the estimation results of l\1NL model, and
    shows the marginal effects for each determinant to consumer's responses(SDL). Significant statistical results were as follows. Purchase urgency, purchase quantities, pre-purchase plan, product assortment, store price image, brand loyalty, and store loyalty were turned out to be significant determinants to influence consumer alternative behaviors in case of out-of-stock situation. Specifically, first, product substitution behavior was triggered by purchase urgency, surprise, purchase quantities, pre-purchase plan, product assortment, store price image, brand loyalty, and store loyalty. Second, purchase delay behavior was led by purchase urgency, purchase quantities, and brand loyalty. Third, store switching behavior was influenced by purchase urgency, purchase quantities, pre-purchase plan, product assortment, store price image, brand loyalty, and store loyalty. Finally, when out-of-stock situation occurs, store convenience and salesperson service did not have significant effects on consumer alternative responses.

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  • The Unexpected Volatility of Foreigners' Trading Behavior Effects on the Korean Stock Market Volatility (외국인 거래행태의 비기대변동성은 주식수익률의 변동성에 영향을 주는가)

    • Byun, Young tae
      • Management & Information Systems Review
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      • v.31 no.4
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      • pp.593-609
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      • 2012
    • This study is designed to investigate whether the information spillover effect is existed between the foreign investors' unexpected volatility of net purchasing intensity and the volatilities of returns in terms of daily closing stock return, overnight return, and daytime return, before and after financial crisis in Korea. The result of this study shows that there is negative information spillover effect between the foreign investors' unexpected volatility of net purchasing intensity and the volatility of daily closing stock return for time t-1. However, there is an opposite result for time t, showing positive information transmission effect. For the overnight return, the test result provides there is no statistical significance between the foreign investor's unexpected volatility of net purchasing intensity and the volatilities of return. In addition, I found that the information transmission effect is existed between the foreign investor's unexpected volatility of net purchasing intensity and the volatilities of the daytime return for the entire timeline.

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    Market Created Risk and the Formation of Stock Price (시장조성위험(市場造成危險)과 주식가격(株式價格)의 형성(形成))

    • Jaang, Dae-Hong
      • The Korean Journal of Financial Management
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      • v.8 no.1
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      • pp.123-137
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      • 1991
    • This paper developes a multiperiod trading model of securities price formation which extends the notion of market created risk introduced by Kraus and Smith [1989]. It is shown that stock price volalitility can depend on combinations of market parameters known to the market participants only imperfectly. Resulting portfolio rebalancing equilibria generate self-justifying price movements while market fundamental remain unchanged.

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    Study of validation process according to various option strategies in a KOSPI 200 options market (코스피 200 주가지수옵션 데이터의 효율적 가공을 통한 다양한 옵션 전략들의 사후검증에 관한 연구)

    • Song, Chi-Woo;Oh, Kyong-Joo
      • Journal of the Korean Data and Information Science Society
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      • v.20 no.6
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      • pp.1061-1073
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      • 2009
    • Stock price index option investing is a scientific investment method and various index and investment strategies have been developed. The purpose of this study is to apply the variety of option investment strategies that have been introduced in the market and validate them using past option trading data. Option data was based on an actual stock exchange market tick data ranging from September 2001 to January 2007. Visual Basic is used to propose an option back-testing model. Validation process was carried out by transferring the tick data into ten-minute intervals and empirically analyzed. Furthermore, most option-related strategies have been applied to the model, and the usefulness of each strategies can be easily evaluated. As option investment has high leverage followed by high risks and profit, the optimal option investment strategy should be used according to the market condition at the time to make stable profit with minimum risk.

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    A Case of Establishing Robo-advisor Strategy through Parameter Optimization (금융 지표와 파라미터 최적화를 통한 로보어드바이저 전략 도출 사례)

    • Kang, Mincheal;Lim, Gyoo Gun
      • Journal of Information Technology Services
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      • v.19 no.2
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      • pp.109-124
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      • 2020
    • Facing the 4th Industrial Revolution era, researches on artificial intelligence have become active and attempts have been made to apply machine learning in various fields. In the field of finance, Robo Advisor service, which analyze the market, make investment decisions and allocate assets instead of people, are rapidly expanding. The stock price prediction using the machine learning that has been carried out to date is mainly based on the prediction of the market index such as KOSPI, and utilizes technical data that is fundamental index or price derivative index using financial statement. However, most researches have proceeded without any explicit verification of the prediction rate of the learning data. In this study, we conducted an experiment to determine the degree of market prediction ability of basic indicators, technical indicators, and system risk indicators (AR) used in stock price prediction. First, we set the core parameters for each financial indicator and define the objective function reflecting the return and volatility. Then, an experiment was performed to extract the sample from the distribution of each parameter by the Markov chain Monte Carlo (MCMC) method and to find the optimum value to maximize the objective function. Since Robo Advisor is a commodity that trades financial instruments such as stocks and funds, it can not be utilized only by forecasting the market index. The sample for this experiment is data of 17 years of 1,500 stocks that have been listed in Korea for more than 5 years after listing. As a result of the experiment, it was possible to establish a meaningful trading strategy that exceeds the market return. This study can be utilized as a basis for the development of Robo Advisor products in that it includes a large proportion of listed stocks in Korea, rather than an experiment on a single index, and verifies market predictability of various financial indicators.


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