An Analysis of the Relationship between Market Risk and Information Flows among Trading Volume of the Industry Sector in the Korean Stock Market

2017 ◽  
Vol 67 (5) ◽  
pp. 621-627
Author(s):  
Ayoung PARK ◽  
Gabjin OH*
Keyword(s):  
Stock Market ◽  
Trading Volume ◽  
Market Risk ◽  
Information Flows ◽  
Industry Sector ◽  
Korean Stock Market ◽  
The Relationship

scholarly journals Commonality In Liquidity: Lessons From An Emerging Stock Market

2015 ◽  
Vol 31 (5) ◽  
pp. 1927 ◽  
Author(s):  
Kais Tissaoui ◽  
Zied Ftiti ◽  
Chaker Aloui
Keyword(s):  
Stock Market ◽  
Firm Size ◽  
Private Information ◽  
Trading Volume ◽  
Market Liquidity ◽  
Information Flows ◽  
Public And Private ◽  
Order Imbalance ◽  
The Impact ◽  
The Relationship

<p><em>This study investigates commonality in liquidity in Tunisia, an order-driven, emerging stock market. We analyze the impact of information flow on the relationship between market liquidity and liquidity of securities, in addition to firm size and industry determinants. The effect of liquidity commonality on the liquidity of securities depends on firm size. The effect of market-wide commonality on liquidity is found to be stronger than that of industry-wide commonality. Our results show that public and private information flows improve liquidity. Systematic trading volume dominates systematic order imbalance in explaining liquidity; however, this effect is lesser compared to that of market liquidity.</em></p>

scholarly journals Relationship between Trading Volume and Asymmetric Volatility in the Korean Stock Market

2012 ◽  
Vol 03 (05) ◽  
pp. 584-589 ◽  
Author(s):  
Ki-Hong Choi ◽  
Zhu-Hua Jiang ◽  
Sang Hoon Kang ◽  
Seong-Min Yoon
Keyword(s):  
Stock Market ◽  
Trading Volume ◽  
Asymmetric Volatility ◽  
Korean Stock Market

scholarly journals The Price-Trading Volume Relationship in the Brazilian Stock Market, the Impact of Stock Lending and a Role for Technical Analysis

2015 ◽  
Vol 13 (4) ◽  
pp. 631
Author(s):  
Antonio Zoratto Sanvicente ◽  
Antonio Zoratto Sanvicente ◽  
Antonio Zoratto Sanvicente
Keyword(s):  
Stock Market ◽  
Trading Volume ◽  
Price Change ◽  
Absolute Value ◽  
Daily Data ◽  
Volume Relationship ◽  
Current Price ◽  
The Impact ◽  
The Relationship ◽  
Positive Covariance

We examine the relationship between price and volume in the Brazilian stock market. It tests the “V-shaped relationship” developed by Karpoff (1987), identified in several empirical papers for the U.S. market. This is expressed by positive covariance between a stock’s market turnover and the absolute value of that stock’s price change in the same period. This would contradict the implication from weak market efficiency that current price would impound all information. We analyze daily data for 47 stocks covering the period from January 04, 2010 to June 28, 2013. The results indicate that the V-shaped relationship is significant.

scholarly journals PENGARUH KEPEMILIKAN INSTITUSIONAL TERHADAP KARAKTERISTIK PASAR SAHAM DI BURSA EFEK INDONESIA

2017 ◽  
pp. 1-12
Author(s):  
Donalson Silalahi
Keyword(s):  
Standard Deviation ◽  
Stock Market ◽  
Adverse Selection ◽  
Stock Price ◽  
Trading Volume ◽  
Stock Exchange ◽  
Control Variable ◽  
Institutional Ownership ◽  
Adverse Selection Costs ◽  
The Relationship

The role of institutional ownership in the financial markets became very important. However, until today there is no consensus among researchers about the influence of institutional ownership on the characteristic of stock market. Therefore, researchers are motivated to conduct further research the influence of institutional ownership on the characteristic of stock market. The research conducted at the Indonesian Stock Exchange with traded spread and adverse selection costs as dependent variable and institutional ownership as independent variable. In addition to institutional ownership, also used standard deviation of common stock price and trading volume as a control variable to clarify the relationship of institutional ownership on the characteristic of stock market. The study was conducted on 120 firms with observations in the period 2010-2011. All the required data obtained from the Indonesian Capital Market Directory. The results showed that: First, institutional ownership has a negative and significant effect on traded spread. Second, the variability of traded spread is able to be explained by the variability of institutional ownership, standard deviation of the stock price, and trading volume 24.8 percent. Third, institutional ownership has a negative and significant effect on adverse selection costs. Fourth, the variability of adverse selection costs is able to be explained by the variability of institutional ownership, standard deviation of the stock price, and trading volume 26.2 percent. Fifth, the relationship between institutional ownership to traded spread and adverse selection cost before and after entering the control variables remain negative and significant.

scholarly journals Investor Sentiment and Herding Behavior in the Korean Stock Market

2020 ◽  
Vol 8 (2) ◽  
pp. 34
Author(s):  
Ki-Hong Choi ◽  
Seong-Min Yoon
Keyword(s):  
Stock Market ◽  
Quantile Regression ◽  
Stock Markets ◽  
Trading Volume ◽  
Investor Sentiment ◽  
Herding Behavior ◽  
Absolute Deviation ◽  
Cross Sectional ◽  
Korean Stock Market ◽  
Quantile Regression Method

This paper investigates herding behavior and the connection between herding behavior and investor sentiment. We apply a Cross-Sectional Absolute Deviation (CSAD) approach and the quantile regression method to capture herding behavior in the KOSPI and KOSDAQ stock markets. The analysis results are outlined as follows. First, we find that herding behavior is exhibited during down-market periods in the KOSPI and KOSDAQ stock markets. However, we show that adverse herding behavior occurs in low-trading volume and low-volatility periods. Second, according to the results of the quantile regression, herding behavior is found in the low and high quantiles of the KOSPI and KOSDAQ stock markets. However, adverse herding behavior is also found, which means that investors herd in extreme market conditions. Third, the relationship between investor sentiment and herding behavior is analyzed through regression and quantile regression, and investor sentiment is confirmed to be one of the important factors that can cause herding behavior in the Korean stock market.

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