• Title/Summary/Keyword: Investor Behavior

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The Financial Behavior of Investment Decision Making Between Real and Financial Assets Sectors

  • HALA, Yusriadi;ABDULLAH, Muhammad Wahyuddin;ANDAYANI, Wuryan;ILYAS, Gunawan Bata;AKOB, Muhammad
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.12
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    • pp.635-645
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    • 2020
  • This research was conducted to achieve several objectives and focus research was based on financial behavior theory and prospect theory as grounded theory e.g., investigate the financial decision-making behavior between financial and real assets investment, and confirm the relationship existing between herding behavior and overconfidence factors to the level of loss and regret aversion, and financial literacy into real assets investment decisions. The study used 220 real estate auction respondents as investor samples at the State Assets and Auction Service Office Makassar, South Sulawesi, Indonesia. Data was collected through the use of a questionnaire consisting of 23 questions to measure the variables. Moreover, the research data passed through several feasibility tests like the inner and outer modeling by Partial Least Square - Structural equation model (PLS-SEM) while the hypotheses formulated were also tested to determine the magnitude of the variable relationship. Through the use of the direct and intervening test, loss and regret aversion variables have a positive and significant effect while financial literacy variables have no significant effect. There is a slight difference in the decision-making process for real assets and financial assets investors. Investment decision making behavior in the financial assets sector requires less complicated decisions compared to the decisions related to real assets investments.

Herding Behavior in Emerging and Frontier Stock Markets During Pandemic Influenza Panics

  • LUU, Quang Thu;LUONG, Hien Thi Thu
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.9
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    • pp.147-158
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    • 2020
  • We apply Return Dispersion Model by calculating CSAD (Cross-sectional standard deviation of return) and State Space Model to identify herding behavior in the period of pandemic (H1N1 and COVID-19). Employing data from TEJ and Data Stream, this paper examines whether the herding behavior is existing in Vietnam and Taiwan stock market, especially during pandemic influenza. We compare the differences in herding behavior between frontier and emerging markets by examining different industries across Vietnam and Taiwan stock market approaches. The results indicate solid evidence for investor herd configuration in the various industries of Vietnam and Taiwan. The herding impact in the industries will be greater than with the aggregate market. The different industries respond differently to influenza pandemic panics through uptrend and downtrend demonstrations. Up to 12 industries were found to have herding in Vietnam, while Taiwan had only 5 of 17 industries classified. Taiwan market, an emerging and herding-level market, has changed due to the impact of changing conditions such as epidemics, but not as strongly as in Vietnam. From there, we see that the disease is a factor that, not only creates anxiety from a health perspective, but also causes psychological instability for investors when investing in the market.

The Investor's Behavior in Competitive Korean Electricity Market

  • Ahn, Nam-Sung;Kim, Hyun-Shil
    • Korean System Dynamics Review
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    • v.6 no.2
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    • pp.25-35
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    • 2005
  • This paper describes the mechanism for new investment to appear in waves of boom and bust causing alternative periods of over and under supply of electricity in Korean market. A system dynamics model was developed to describe the dynamic behavior of new investment in Korean market. The simulation results show the boom and bust cycle in the new investments. When the market price is high, investors decide to build new power plants. However, it takes some delay time to complete new power plants. When the new power plants are being added into the grid, the supply increases and the wholesale price begins to decrease. This causes the cancellation of new power plant or delay the construction. This mechanism causes the boom and bust cycle in new investment.

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Generation Investment Model Development and Behavior Analysis using System Dynamics Approach (System Dynamics에 의한 발전설비투자 모델개발 및 행태 분석)

  • Kim, Hyun-Shil;Yoon, Yong-Beum
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.10
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    • pp.1731-1737
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    • 2007
  • The Korea electricity wholesale market is operated under the cost-based-pool system and the government regulation to the new generation capacities in order to insure the resource adequacy. The goal of government's regulation is the electricity market stability by attracting proper generation investment while keeping the reliability of system. Generation companies must mandatory observe that government plan by now. But if the restructuring is to be complete, generation companies should not bear any obligation to invest unless their profitability is guaranteed. Namely the investors' behavior will be affected by the market prices. In this paper, the system dynamics model for Korea wholesale electricity market to examine whether competitive market can help to stabilize is developed and analyzes the investors behavior. The simulation results show that market controlled by government will be operated stable without resulting in price spike but there is no lower price because of maintaining the reasonable reserve margin. However, if the competition is introduced and the new investment is determined by the investor's decision without government intervention, the benefits from lower wholesale price are expected. Nevertheless, the volatility in the wholesale market increases, which increases the investment risks.

Herding Behavior Model in Investment Decision on Emerging Markets: Experimental in Indonesia

  • RAHAYU, Sri;ROHMAN, Abdul;HARTO, Puji
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.53-59
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    • 2021
  • This research aims to examine the model of investor herding behavior in making investment decisions in the Indonesian capital market, which is influenced by social and information impacting on the value of the Book Value Per Share (BVPS). The latest stock market conditions show that most investors make the same error pattern in making investment decisions that result in losses. The experiment involves two independent variables, namely, information about BVPS and social influence. This study used a 2×2 factorial design laboratory experimental method. Data collection was carried out through treatment of a sample of 100 individual investors listed on the Indonesia Stock Exchange. Univariate Two-Way Analysis of Variance (ANOVA) statistical tool was used to test the independent variable on the dependent variable. Research results showed that the social influence originating from expert investors is more influential than the Book Value Per Share (BVPS) information on the behavior of herding investors in making investment decisions. These findings suggest that investors know their psychological factors, thereby increasing self-control and investment analysis skills. Further research can use psychological bias and other indicators of accounting relevant information such as Earning Per Share (EPS) to test herding behavior in investment decision making in the capital market.

Life Cycle of Index Derivatives and Trading Behavior by Investor Types (주가지수 파생상품 Life Cycle과 투자자 유형별 거래행태)

  • Oh, Seung-Hyun;Hahn, Sang-Buhm
    • The Korean Journal of Financial Management
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    • v.25 no.2
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    • pp.165-190
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    • 2008
  • The degree of informational asymmetry relating to the expiration of index derivatives is usually increased as an expiration day of index derivatives approaches. The increase in the degree of informational asymmetry may have some effects on trading behavior of investors. To examine what the effects look like, 'life cycle of index derivatives' in this study is defined as three adjacent periods around expiration day: pre-expiration period(a week before the expiration day), post-expiration period(a week after the expiration day), and remaining period. It is inspected whether stock investor's trading behavior is changed according to the life cycle of KOSPI200 derivatives and what the reason of the changing behavior is. We have four results. First, trading behavior of each investor group is categorized into three patterns: ㄱ-pattern, L-pattern and U-pattern. The level of trading activity is low for pre-expiration period and normal for other periods in the ㄱ-pattern. L-pattern means that the level of trading activity is high for post-expiration period and normal for other periods. In the U-pattern, the trading activity is reduced for remaining period compared to other periods. Second, individual investors have ㄱ-pattern of trading large stocks according to the life cycle of KOSPI200 index futures while they show U-pattern according to the life cycle of KOSPI200 index options. Their trading behavior is consistent with the prediction of Foster and Viswanathan(1990)'s model for strategic liquidity investors. Third, trading pattern of foreign investors in relation to life cycle of index derivatives is partially explained by the model, but trading pattern of institutional investors has nothing to do with the predictions of the model.

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The Relation between Net Purchase of Foreign and Institution Investors and Expected Returns in the Korea Stock Market (외국인 및 기관투자자의 순매수강도와 주식수익률 간의 관계)

  • Kim, Soo-Kyung;Byun, Young-Tae
    • Management & Information Systems Review
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    • v.30 no.4
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    • pp.23-44
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    • 2011
  • In this paper we examines the relation between net purchase of foreign and institution investors and stock returns in Korean stock market. For this study, KOSPI returns are classified into three parts: close to close, close to open and open to close returns. Close to close returns is measured by the closing price of t-1 day and the closing price of t day. Close to open returns is measured by the closing price of t-1 day and the opening price of t day. Open to close returns is measured by the opening price of t day and the closing price of the day. Empirically major findings are as follows. First, the previous day both foreign and institution investors' behavior have an statistically significant negative effect on the close to close returns. However, the current day their behavior positively affect close to close returns. Second, the previous day both foreign and institution investors' net purchase have a significantly positive effect on the open to close returns. Finally, the previous day foreign behavior has little effect on open to close returns, but institution investors negatively affect open to close.

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The Impact of Foreign Investors on Asian Emerging Equity Markets during the Global Financial Crisis (글로벌 금융위기 기간에 외국인 투자자가 아시아 신흥국 주식시장에 미친 영향)

  • Jo, Gab-Je;Kim, Yoon-Min
    • International Area Studies Review
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    • v.20 no.1
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    • pp.79-104
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    • 2016
  • This paper investigates the impact and behavior of foreign equity investment in Asian emerging economies during the 2007-2008 and the 2010-2012 global financial crises in terms of volatility and return. The empirical results indicate that foreign investors show positive feedback trading behavior in the sample countries. We find evidence that foreign investors' net selling behavior significantly increases market volatility in most countries.

What Derives Asset Diversification? A Comparison Between Direct And Indirect Investors (분산투자를 결정하는 요인: 직접투자자와 간접투자자의 비교)

  • Sujung Choi
    • Asia-Pacific Journal of Business
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    • v.14 no.4
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    • pp.151-161
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    • 2023
  • Purpose - In this study, we examine the factors related to the asset allocation decisions of individual investors who 1) directly invest in stocks or bonds, 2) indirectly invest in various fund products (excluding CMA and MMF), and 3) invest in both products. Design/methodology/approach - We collect a sample of 3,000 individual investors and investigate the factors influencing investment behavior, especially the diversification tendency in asset allocation, with the "Investor Behavior Survey" that is conducted jointly by the Korea Financial Investment Association and the Korea Gallup Research Institute in 2011 and 2012. Findings - Our regression analyses estimate the marginal effects of various factors such as the amount of total financial assets, monthly income, occupation, age, and gender. The results reveal that male investors with manual labor occupations were less inclined to diversify their investments compared to female investors in office jobs. Additionally, higher monthly income is associated with a greater inclination toward diversification. Therefore, if a positive relationship exists between income and educational level, we may suggest that higher educational levels lead to a greater tendency for diversification. Research implications or Originality - Interestingly, investors who engage in direct investments tend to exhibit a weaker diversification tendency as the amount of their direct investment increases. On the other hand, investors who engage in both direct and indirect investments show a weaker diversification tendency as the amount of total financial assets increases. This suggests that the investment style of investors is closely related to their diversification behavior.

The Effect of Portal Search Intensity on Stock Price Synchronicity and Risk: Evidence from Korea (한국 포털 사이트 검색강도가 주가 동조성 및 위험에 미치는 영향)

  • Kim, Min-Su;Xu, Mengxia;Kwon, Hyuk-Jun
    • The Journal of Society for e-Business Studies
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    • v.25 no.4
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    • pp.125-141
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    • 2020
  • Recent Studies emphasize the effect of investors attention, recognition and sentiment on the trading behavior of retail investors and stock price variation. In this study, we use Naver Trend to measure investors'attention and investigate the relation between investor attention and price synchronicity, total risk and systematic risk of stocks. Using various research methodologies such as portfolio analysis, fixed effect regression and dynamic panel analysis, we find consistent results. First, stock price synchronicity is increased with lager average search volume, but with less search variability. Second, both average search volume and its variability are positively related to total risk and beta of stocks. These results can be interpreted that search volume sharply increases only when stock-related event occurs.