Perbedaan Saham Blue Chip dan Non Blue Chip: Analisis Volume Perdagangan dan Return Saham Atas Kebijakan Stock Split

The stock split phenomenon is still challenging to understand the returns to companies and investors. A stock split is a corporate actions to break up more shares so that the price per share changes to a smaller one, which aims to increase stock liquidity. The purpose of this study is to analyze differences in trading volume, and stock returns before and after the company's stock split policy implemented in blue-chip and non blue-chip Indonesian companies in the 2017-2019 period, amounting to 34 companies. This study uses data analysis techniques in the Wilcoxon Signed Ranks Test and the Mann-Whitney T-Test. The results showed a significant difference to the average trading volume, but there was no significant difference to the average stock return before and after the stock split policy. The test results of the average difference between blue chip and non blue-chip companies have no significant differences. The company's market capitalization has no significant effect on stock returns and trading volume in the stock split period. The results of this study can be used as reference material for investors and companies in making decisions.

The Impact of COVID-19 on Stock Market in China

This paper studies the impact of the COVID-19 on the stock ambiguity, risks, liquidity, and stock prices in China stock market, before and after the outbreak of COVID-19 during the Chinese Spring Festival holidays in 2020. We measure stock ambiguity using the intraday trading data. The outbreak of COVID-19 has a significant impact on the average stock ambiguity, risk, and illiquidity in China and induces structural break in the market average ambiguity. However, the equity premium and liquidity premium change little during the same period. The market average stock ambiguity and risks decrease, and stock liquidity improves to pre-pandemic levels as the pandemic is under control in China. The market average stock ambiguity and risks in China increase again when the confirmed new cases in the U.S. surge in the second half of 2020. We also find a “flight-to-liquidity” phenomenon, and the equally-weighted (value-weighted) 20-trading-day liquidity premium declined significantly to about –4.42% (–6.48%) during the fourth quarter of 2020.

STOCK LIQUIDITY AND CORPORATE TRADE CREDIT STRATEGIES: EVIDENCE FROM CHINA

This study investigates the nexus of stock liquidity and trade-credit policies in China from 2002 to 2017. The estimates are robust to alternative proxies, various fixed-effects, and the exogenous impact of Chinese split share structure reforms (SSSR) 2005-06 is investigated through the difference-in-difference analysis. The results validate that stock liquidity significantly impacts firms’ capacity to produce more trade credit supplies and less reliant on trade credit demand. The study applied SUEST analysis to investigate the effect of the Chinese institutional setting. The nexus of stock liquidity and trade credit strategies is substantial in state-owned enterprises. Additional analysis revealed that the said association is more visible to credit-constrained and equity-reliant enterprises. The policymakers should focus on market liquidity because it elevates firms’ capacity to mobilize capital through trade credit provisions. The micro aspect of this study suggests that stock liquidity allows managers to shape non-price competitive strategies and avoid excessive usage of trade credits.

Stock liquidity and stock return: an asymmetric impact of institutional ownership approach

Purpose This study is primarily aimed at investigating the asymmetric impact of institutional ownership on the relationship between stock liquidity and stock return. It was conducted by testing the hypotheses regarding efficient monitoring and adverse selection from Tehran Stock Exchange (TSE). Design/methodology/approach Using a panel smooth transition regression model and selecting 183 firms for the period from 2009 to 2019 from TSE, this study examined the data to explore the asymmetric impact of institutional ownership on the relationship between stock liquidity and stock return. Findings The results show a positive impact by institutional ownership on the relationship between stock liquidity and stock return in the first regime (threshold level 39%), whereas in the second regime, there is a negative impact by institutional ownership on the relationship between stock liquidity and stock return. Furthermore, the firms were divided into two groups based on the market value. The first group includes those with a market share less than the mean total market value of the sample. The second group includes firms with a market share higher than the mean total market value of the sample (large firms). The results illustrate that the threshold level is 32% and 44% for the first and second groups, respectively. Originality/value The findings of this study suggest that institutional ownership theories require closer inquiry.