scholarly journals The Effect of KRX Halts on Overheated Short-selling Stocks

2020 ◽  
Vol 49 (5) ◽  
pp. 741-776
Author(s):  
Woo Baik Lee

Korea Exchange (KRX) has adopted several measures to ease temporary overheating of short-selling stocks in the market since March 27, 2017. These measures aim to curb excessive volatility and unfair trade, promoting efficient price discovery. This study examines the effect of overheated short-selling halts using the sample data from these KRX measures during the period of September 2017 to October 2019. The major empirical results are: first, the drop in prices of overheated short-selling stocks on a downward trend slows significantly after KRX announcement. Moreover, the stock price rise on the triggering day shows no additional increase in the period after the trigger. Second, for the stocks so triggered, the volatility in the period after the halt announcement shows no significant difference from the pre-halt period. This can be attributed to the resolution of the information asymmetry by calling investors’ attention to overheated short-selling. Third, the ratio of short-selling to trading after halt suggests no statistically significant difference from the period before the trigger. These results imply that the measures to ease overheated short sale of stocks in KRX are effective in controlling excessive temporary volatility and unfair trading.

Author(s):  
Thomas R. Kubick ◽  
Thomas C. Omer ◽  
Xiao Song

We use a regulatory shock to examine whether the prospect of short selling affected tax disclosures. From May 2005 to August 2007, the Securities and Exchange Commission initiated a pilot program under Regulation SHO, temporarily exempting one-third of the Russell 3000 index firms from short sale price tests, reducing short selling costs. Before the pilot program, we find that pilot firms' income tax footnote disclosures are similar to non-pilot firms. During the pilot program, we find that pilot firms have more readable income tax footnotes than non-pilot firms. The words describing tax activities also changed for tax aggressive pilot firms. In further tests, we observe greater readability among pilot firms led by senior executives whose personal wealth is more sensitive to stock price changes. After the pilot program ends, the differences between pilot and non-pilot firms disappear. These results suggest that the prospect of short selling affects tax disclosures.


2010 ◽  
Author(s):  
Benjamin M. Blau ◽  
Richard S. Warr ◽  
Robert A. Van Ness

Author(s):  
Zaky Machmuddah ◽  
St. Dwiarso Utomo ◽  
Entot Suhartono ◽  
Shujahat Ali ◽  
Wajahat Ali Ghulam

The coronavirus pandemic has spread all over the world, affecting both the health and economic sectors. The aim of this research was to observe stock prices of customer goods before and after the COVID-19 pandemic using event study and the comparison test. The sample included data of daily closing stock prices and volume of stock trade during the three months before (−90 days) and after (+90 days) the occurrence of the COVID-19 pandemic ongoing, totaling 2670 observation data both before and after the COVID-19 pandemic, for a total of 5340. The research findings indicate a significant difference between the daily closing stock price and volume of stock trade before and after the COVID-19 pandemic. The current research has both theoretical and practical implications: the findings strengthen the efficient market hypothesis, which states that the more complete the provided information, the more efficient the market. The practical implication is that investors should be careful when choosing to invest. Investors should choose customer goods sector companies that provide products that are much needed by customers, for example, pharmacy, food, beverages, etc. Future research is needed to investigate the long-term impact of the pandemic on the economy.


2012 ◽  
Vol 36 (3) ◽  
pp. 886-897 ◽  
Author(s):  
Benjamin M. Blau ◽  
Robert A. Van Ness ◽  
Richard S. Warr

Author(s):  
Anggun Putri Romadhina ◽  
Eka Kusuma Dewi

The first Covid-19 case in Indonesia was announced on March 2, 2020. This study aims to determine whether there is a significant difference in stock prices, stock transaction volume and stock returns due to the COVID-19 pandemic (case study at PT. Agung Podomoro Land, Tbk). This research data was taken 90 days before and 90 days after the announcement of the first case of COVID-19 in Indonesia. The data was processed by paired sample t-test, using SPSS version 20. From the results of data processing, it was shown that there was a significant difference in stock prices before and after the announcement of the first case of covid-19 in Indonesia. This is indicated by a significance value of 0.000 < 0.05 where the stock price has decreased compared to before the Covid-19 case. Meanwhile, the volume of stock transactions also showed a significant difference with a significance value of 0.007 <0.05, where the volume of stock transactions after the announcement showed a decrease. Likewise, stock returns show a significant difference with a significance value of 0.025 < 0.05 where stock returns have decreased after the announcement of the first case of covid-10 in Indonesia.  


2001 ◽  
Vol 4 (1) ◽  
pp. 43-56
Author(s):  
Tsong-Yue Lai ◽  
◽  
Hin Man Mak ◽  
Ko Wang ◽  
◽  
...  

Asset pricing models have been used extensively in the recent real estate literature to evaluate real estate performance and estimate required rates of return of properties. In this paper, we show that the CAPM and its variants will derive a biased result when short sales are not allowed in the market. This problem is particularly serious for Asian property markets where investors are not able to short sell real estate indexes as a substitute for short selling real properties. We also demonstrate that the bias resulting from the short-sale constraint is related to the supply-and-demand conditions in the local market.


2000 ◽  
Vol 58 (2A) ◽  
pp. 252-256 ◽  
Author(s):  
JOAO ARIS KOUYOUMDJIAN ◽  
MARIA DA PENHA ANANIAS MORITA ◽  
PAULO RICARDO FERNANDO ROCHA ◽  
RAFAEL CARLOS MIRANDA ◽  
GUSTAVO MACIEL GOUVEIA

Carpal tunnel syndrome (CTS) has been correlated to body mass index (BMI) increase. The present study was done in a Brazilian population to compare BMI values in the following groups: first, CTS vs. controls subjects, and, second CTS groups of increasing median sensory latency (MSL). According to MSL > or = 3.7 ms (wrist-index finger, 14 cm), median/ulnar sensory latency difference > or = 0.5 ms (ring finger, 14 cm) or median palm-to-wrist (8 cm) latency > or = 2.3 ms (all peak-measured), 141 cases (238 hands) had CTS confirmation. All were symptomatic; previous surgery and polyneuropathy were excluded; mean age 50.3; 90.8% female. Controls subjects (n=243; mean age 43.0; 96.7% female) and CTS cases had BMI calculated (kg/m²). Controls subjects had a mean BMI of 25.43±4.80 versus 28.38±4.69 of all CTS cases, a statistically significant difference (p < 0.001). The CTS groups of increasing MSL severity do not show additional increase in BMI (28.44 for incipient, 28.27 for mild, 28.75 for moderate and 29.0 for severe). We conclude that CTS cases have a significant correlation with higher BMI when compared to controls subjects; however, higher BMI do not represent a statistically significant increasing risk for more severe MSL.


2020 ◽  
Vol 3 (2) ◽  
pp. 77-88
Author(s):  
Intan Elita ◽  
K. Bagus Wardianto ◽  
M. Iqbal Harori

This study aims to measure the accuracy of technical analysis using the Bollinger Band indicator in predicting stock prices in the middle of pandemic covid-19. The concept in this study is to compare daily stock price predictions according to technical indicators with the closing prices that occured on that day. Sample selection technique used in this research used a purposive sampling method and obtained 9 pharmaceutical sub-sector companies listed on the IDX from February to April 2020. The type of data used is a chart of the company's daily stock price movements obtained from finance.yahoo.com. The data analysis technique used was the paired sample t-test and used the SPSS 26 analysis tool. The results of this study indicate that the Bollinger indicator does not have a significant difference. ABSTRAK Penelitian ini bertujuan untuk mengukur keakuratan analisis teknikal dengan indikator Bollinger Band dalam memprediksi harga saham pada masa pandemi Covid-19. Konsep pada penelitian ini adalah membandingkan prediksi harga saham harian menurut indikator teknikal dengan harga penutupan yang terjadi pada hari tersebut. Teknik pengambilan sampel dalam penelitian ini menggunakan metode purposive sampling dan diperoleh sebanyak 9 perusahaan sub sektor farmasi yang terdaftar di BEI selama Februari hingga April 2020. Jenis data yang digunakan yaitu berupa grafik pergerakan harga saham harian perusahaan yang diperoleh dari finance.yahoo.com. Teknik analisis data yang digunakan adalah uji independent sample t-test dan menggunakan alat analisis program SPSS 26. Hasil penelitian ini menunjukkan bahwa indikator Bollinger tidak memiliki perbedaan yang signifikan.


2020 ◽  
Vol 3 (2) ◽  
pp. 390-395
Author(s):  
Junita Putri Rajana Harahap ◽  
Murni Dahlena Nasution

The stock split causes the stock price to be cheaper so that it will attract potential investors to buy the stock. This research was conducted to determine when it is time for a company to do a stock split, information available on the capital market can be used by investors for consideration before investors make a decision to invest in shares. The study aims to determine the changes that occur in stock prices before and after the stock split policy by the company. The research method used in this research is event study research with a quantitative approach. This study examines how significant the stock price difference is after a stock split policy. The sample used in this study were all companies that carried out the 2016-2018 stock split policy. The results of research on companies that become samples have shown that the average stock price before the announcement of the stock split policy has no significant difference with the average stock price after the announcement of the stock split policy Keywords : Stock Price, Stock Split


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