The Impact of Individual Investor‘s Selling Activity on Asymmetric Volatility in the ETF Market of Korea

2012 ◽  
Vol 20 (4) ◽  
pp. 427-449
Author(s):  
Okrye Kong ◽  
Daekeun Park
Keyword(s):  
Stock Market ◽  
Institutional Investors ◽  
Disposition Effect ◽  
Individual Investors ◽  
Return Volatility ◽  
Herding Behavior ◽  
Transaction Data ◽  
Asymmetric Volatility ◽  
The Impact ◽  
Transaction Pattern

This study analysed the effect of individual investors‘ sell-buy imbalance on asymmetric volatility in returns using daily transaction data of the Korean ETF market. Major Finding of the Paper are as follows. First, there exists asymmetric volatility in the sense that the return, volatility, tends to increase when returns fall unexpectedly in the ETF market as well as in stock market. In this case, individual investors' increased selling activity is the main reason behind the increase the volatility while institutional investors' selling activity does not seem to cause asymmetric volatility. Second, when the prices go down, individual investors show herding behavior in transactions because increased selling activity by individual investors amplify volatility. Third, in addition to herding behavior, individual investors' transaction pattern as uninformed investors or as liquidity transactors also causes asymmetric volatility. Fourth, in some large ETFs, disposition effect of individual investors who are reluctant to sell when prices go down plays an important role in generating asymmetric volatility.

A study of prominence for disposition effect: a systematic review

2019 ◽  
Vol 11 (1) ◽  
pp. 2-21 ◽  
Author(s):  
Syed Aliya Zahera ◽  
Rohit Bansal
Keyword(s):  
Mutual Funds ◽  
Behavioral Finance ◽  
Mutual Fund ◽  
Institutional Investors ◽  
Disposition Effect ◽  
Individual Investors ◽  
Content Type ◽  
Experimental Market ◽  
The Individual ◽  
The Impact

Purpose The purpose of this paper is to study the disposition effect that is exhibited by the investors through the review of research articles in the area of behavioral finance. When the investors are hesitant to realize the losses and quick to realize the gains, this phenomenon is known as the disposition effect. This paper explains various theories, which have been evolved over the years that has explained the phenomenon of disposition effect. It includes the behavior of individual investors, institutional investors and mutual fund managers. Design/methodology/approach The authors have used the existing literatures from the various authors, who have studied the disposition effect in either real market or the experimental market. This paper includes literature over a period of 40 years, that is, Dyl, 1977, in the form of tax loss selling, to the most recent paper, Surya et al. (2017). Some authors have used the PGR-PLR ratio for calculating the disposition effect in their study. However, some authors have used t-test, ANNOVA, Correlation coefficient, Standard deviation, Regression, etc., as a tool to find the presence of disposition effect. Findings The effect of disposition can be changed for different types of individual investors, institutional investors and mutual funds. The individual investors are largely prone to the disposition effect and the demographic variables like age, gender, experience, investor sophistication also impact the occurrence of the disposition effect. On the other side, the institutional investors and mutual funds managers may or may not be affected by the disposition effect. Practical implications The skilled understanding of the disposition effect will help the investors, financial institutions and policy-makers to reduce the adverse effect of this bias in the stock market. This paper contributes a detailed explanation of disposition effect and its impacts on the investors. The study of disposition effect has been found to be insufficient in the context of Indian capital market. Social implications The investors and society at large can gains insights about causes and influences of disposition effect which will be helpful to create sound investment decisions. Originality/value This paper has complied the 11 causes for the occurrence of disposition effect that are found by the different authors. The paper also highlights the impact of the disposition effect in the decision-making of various investors.

scholarly journals The market impact of futures trading by the National Pension Service (NPS) of Korea

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mincheol Woo ◽  
Meong Ae Kim
Keyword(s):  
Stock Market ◽  
Institutional Investors ◽  
Spot Market ◽  
Futures Market ◽  
Market Impact ◽  
Futures Trading ◽  
Transaction Data ◽  
The World ◽  
The Impact

The National Pension Service (NPS) of Korea is one of the largest institutional investors in the world and it has been known as the market stabilizer in the Korean stock market. Nevertheless, it is hard to find the research about the impact of the NPS on the futures market. We investigated the effect of the NPS’s trading KOSPI200 futures on the returns, the liquidity and the volatility of the market using the recent ten years’ transaction data. The main findings are as follows. First, the NPS’s net investment flow (NIF) in the KOSPI200 futures market shows the predictability about the returns of both KOSPI200 futures and KOSPI200 spot index. Second, the NPS’s NIF in the KOSPI200 futures market improves the liquidity of the KOSPI market, where the transactions involved in both the spot market and the futures market occur. Third, the NPS’s NIF in the KOSPI200 futures market reduces the volatility of both the KOSPI200 futures market and the KOSPI market. Unlike the prior studies showing that our futures market tends to increase the volatility of the stock market through the volatility transfer, our finding suggests that the NPS’s trading KOSPI200 futures contributes to decreasing the volatility in both markets. To the best of the authors’ knowledge, this paper is the first study that investigates the impact of the NPS’s trading KOSPI200 futures on the KOSPI200 futures market and the stock market. It shows that the NPS plays a role of the market stabilizer in the futures market. In addition, the NPS’s trading KOSPI200 futures also affects the KOSPI stock market, stabilizing it in terms of both the liquidity and the volatility.

Who Drive the Rise and Fall of the Bubbles in Korean Stock Market?

2017 ◽  
Vol 25 (4) ◽  
pp. 591-622
Author(s):  
Bong-Chan Kho ◽  
Jin-Woo Kim
Keyword(s):  
Stock Market ◽  
Institutional Investors ◽  
Risk Model ◽  
Early Stage ◽  
Disposition Effect ◽  
Individual Investors ◽  
Foreign Investors ◽  
Peak Point ◽  
Korean Stock Market ◽  
Informed Traders

In this paper, we analyze the trading patterns of investors around the bubble events selected for stocks traded in Korean Stock Market from 1999 to 2013, whose holding period returns exceed 200% for 250 trading days prior to the event and then drop subsequently below -50% thereafter for the next 250 trading days. We examine whether individual investors, commonly known as noise traders, drive the bubbles, and whether institutional investors and foreign investors, known as informed traders, take an arbitrage position to shrink the pricing errors or ride the bubbles to maximize their profits. We also examine whether individual investors suffer losses due to their disposition effect even after the bubble bursts. Major findings of this paper are as follows : First, we find that individual investors are actually shown to drive the bubbles in our full sample, whereas the burst of the bubbles are largely driven by institutional investors and foreign investors. In particular, it is shown for large-cap stocks that foreign investors take the lead in raising the price at an early stage of the bubbles and then institutional investors follow them until the bubble peak point. Second, for mid-cap and large-cap stocks, institutional investors are found to ride the bubbles from about 75 days prior to the bubble peak point, when foreign investors reverse their trades and start selling to realize profits. Such bubble riding behavior of institutional investors is consistent with the synchronization risk model of Abreu and Brunnermeier (2002, 2003), where it is optimal for informed traders to ride the bubbles until all of informed traders start selling at the bubble peak point. Third, individual investors are found to suffer losses as they keep buying the bubble stocks even after the bubble bursts due to their disposition effect.

scholarly journals Disposition Effect and Return Predictability in the Tunisian Stock Market

2017 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
Cheïma Hmida ◽  
Ramzi Boussaidi
Keyword(s):  
Stock Market ◽  
Behavioral Finance ◽  
Stock Prices ◽  
Stock Price ◽  
Return Predictability ◽  
Capital Gains ◽  
Disposition Effect ◽  
Individual Investors ◽  
Long Run ◽  
Return Reversal

The behavioral finance literature has documented that individual investors tend to sell winning stocks more quickly than losing stocks, a phenomenon known as the disposition effect, and that such a behavior has an impact on stock prices. We examined this effect in the Tunisian stock market using the unrealized capital gains/losses of Grinblatt & Han (2005) to measure the disposition effect. We find that the Tunisian investors exhibit a disposition effect in the long-run horizon but not in the short and the intermediate horizons. Moreover, the disposition effect predicts a stock price continuation (momentum) for the whole sample. However this impact varies from an industry to another. It predicts a momentum for “manufacturing” but a return reversal for “financial” and “services”.

Behavioral biases on institutional investors: a literature review

Kybernetes ◽  
2016 ◽  
Vol 45 (10) ◽  
pp. 1668-1684 ◽  
Author(s):  
Selim Aren ◽  
Sibel Dinç Aydemir ◽  
Yasin Şehitoğlu
Keyword(s):  
Literature Review ◽  
Empirical Evidence ◽  
Institutional Investors ◽  
Design Methodology ◽  
Home Bias ◽  
Institutional Investor ◽  
Disposition Effect ◽  
Herding Behavior ◽  
Content Type ◽  
Behavioral Biases

Purpose The purpose of this paper is to evaluate published institutional investor research focused on home bias, disposition effect, and herding behavior in recognized journals and to ascertain some substantial gaps with regard to them. Design/methodology/approach Recently published studies between 2005 and 2014, which intend to examine behavioral biases on institutional investors, have been reviewed through juxtaposing them under the three fundamental titles and figuring them according to the explanation why these biases occurs. Findings The research examining home bias has identified the presence of this effect on institutional investors and explained it with information or culture. Yet, the existence of disposition effect has not been found in the extant research. These studies have estimated disposition effect through overconfidence and experience. Also, extant studies have provided evidence of herding behavior, attributing this behavior to pursuing same published information and protecting their reputation and career. Originality/value Currently, no study, which reviews and evaluates the empirical research body on behavioral biases displayed institutional investors, exists. To the authors’ knowledge, this is the first paper which highlights the empirical evidence on these bias and summarizes the explanations in these studies for these biases exhibited by institutional investors. This could contribute to the researchers focusing on behavioral biases on institutional investors by providing them with a meaningful figuralization regarding their evidence and explanation.

A Study of the Disposition Effect for Individual Investors in the Taiwan Stock Market

2010 ◽  
Vol 46 (1) ◽  
pp. 108-119 ◽  
Author(s):  
Yeong-Jia Goo ◽  
Dar-Hsin Chen ◽  
Sze-Hsun Sylcien Chang ◽  
Chi-Feng Yeh
Keyword(s):  
Stock Market ◽  
Disposition Effect ◽  
Individual Investors

scholarly journals THE VOLATILITY TRANSMISSION OF MAIN GLOBAL STOCK'S RETURN TO INDONESIA

2017 ◽  
Vol 20 (2) ◽  
pp. 229-256
Author(s):  
Linda Karlina Sari ◽  
Noer Azam Achsani ◽  
Bagus Sartono
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Markets ◽  
Stock Return ◽  
Global Financial Crisis ◽  
Symmetric Model ◽  
Return Volatility ◽  
Stock Return Volatility ◽  
Volatility Transmission ◽  
The Impact

Stock return volatility is a very interesting phenomenon because of its impact on global financial markets. For instance, an adverse shocks in one country’s market can be transmitted to other countries’ market through a particular mechanism of transmission, causing the related markets to experience financial instability as well (Liu et al., 1998). This paper aims to determine the best model to describe the volatility of stock returns, to identify asymmetric effect of such volatility, as well as to explore the transmission of stocks return volatilities in seven countries to Indonesia’s stock market over the period 1990-2016, on a daily basis. Modeling of stock return volatility uses symmetric and asymmetric GARCH, while analysis of stock return volatility transmission utilizes Vector Autoregressive system. This study found that the asymmetric model of GARCH, resulted from fitting the right model for all seven stock markets, provides a better estimation in portraying stock return volatility than symmetric model. Moreover, the model can reveal the presence of asymmetric effects on those seven stock markets. Other finding shows that Hong Kong and Singapore markets play dominant roles in influencing volatility return of Indonesia’s stock market. In addition, the degree of interdependence between Indonesia’s and foreign stock market increased substantially after the 2007 global financial crisis, as indicated by a drastic increase of the impact of stock return volatilities in the US and UK market on the volatility of Indonesia’s stock return.

scholarly journals The Impact of Financial Information on Noise Traders: Based on the Perspective of Behavioral Finance

2020 ◽  
Vol 9 (1) ◽  
pp. 28
Author(s):  
Miao Jiang
Keyword(s):  
Stock Market ◽  
Behavioral Finance ◽  
Investor Behavior ◽  
Individual Investors ◽  
Noise Traders ◽  
Healthy Development ◽  
Noise Trading ◽  
Financial Media ◽  
The Impact ◽  
Excessive Noise

<p>In China's incomplete stock market which mainly consists of retail games and short-term operations, both of the high stock turnover rate and P/E ratios reflect excessive noise trading. This article focuses on the characteristic that individual investors are susceptible to financial media information, combined with the development and characteristics of financial media. From the perspective of behavioral finance, this paper analyzes the impact of financial media on noise trading. Using behavioral finance and psychology-related knowledge, investor behavior can be better understood, so as the motivation behind noise trading. Finally, in order to promote the healthy development of the stock market, this paper makes recommendations to improve the efficiency of the capital market.</p>

Sign in / Sign up

Export Citation Format

Share Document