scholarly journals NOISE TRADER RISK: EVIDENCE FROM VIETNAM STOCK MARKET

2019 ◽  
Vol 128 (5C) ◽  
pp. 5
Author(s):  
Phan Khoa Cuong ◽  
Tran Thi Bich Ngoc ◽  
Bui Thanh Cong ◽  
Vo Thi Quynh Chau
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Prices ◽  
Positive Impact ◽  
Moving Average ◽  
Noise Trader ◽  
Daily Stock Returns ◽  
Fundamental Value ◽  
The Impact ◽  
Daily Returns

<p><strong>Abstract: </strong>This paper investigates the existence of noise trader risk in Vietnam’s stock market and its effect on the daily returns of stock prices. The methodologies contain the estimation of GARCH (1,1) model to filter the residuals using the moving average method to calculate the impact of information traders. Noise trader risk or the risk that is caused by noise traders is derived by subtracting the residuals by the rational traders’ impact. We find that the noise trader risk does exist in Vietnam’s stock market and its impact on daily returns of stocks is unpredictable. Meanwhile, we find a positive impact of information traders on the stock returns. It increases the daily stock returns, and in turn, helps the market to correct itself because the stock prices move back to its fundamental value.</p><p><strong>Keywords</strong>: noise trader risk, GARCH (1,1), Vietnam’s stock market</p>

Sports sentiment and behavior of stock prices: a case of T-20 and IPL cricket matches

2019 ◽  
Vol 11 (3) ◽  
pp. 266-276 ◽  
Author(s):  
Gourishankar S. Hiremath ◽  
Hari Venkatesh ◽  
Manish Choudhury
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Prices ◽  
Negative Impact ◽  
Positive Impact ◽  
Moving Average ◽  
Stock Market Returns ◽  
Content Type ◽  
And Behavior ◽  
Indian Stock Market

Purpose The purpose of this paper is to examine whether the emotions and sentiments related to the outcome of the sporting event influence the investment making process. Design/methodology/approach This study uses the data on stock prices of firms sponsoring the Indian premier league (IPL) teams and data on Indian stock market. The event-study frameworks along with autoregressive moving average and GMM regression are employed to empirical quantify the impacts of the performance of the IPL teams on the stock market returns of the sponsors’ stocks and response of Indian stock market to the outcome of T-20 international matches. Findings The paper finds that the team winning IPL title in a season has a positive impact on the returns of the sponsors’ stocks of a particular team, whereas loss of team has a negative impact on returns. The outcome of the cricket matches played by team India in the T-20 has a negligible effect on the Indian stock market. Practical implications The finding of the study implies the coexistence of emotions and rationality at different points in time and the relevance of adaptive market hypothesis to explain such time-varying behavior. Originality/value The present investigation is first of its kind to test whether the performance of the IPL cricket team can influence the stock returns of the sponsors. This research shows that sentiment related to sports event such as cricket influences the decision-making process and thus affects underlying stock prices.

scholarly journals Testing the Random Walk Theory in the Nigerian Stock Market

2017 ◽  
Vol 6 (3) ◽  
pp. 500 ◽  
Author(s):  
Clement C. M. Ajekwe ◽  
Adzor Ibiamke ◽  
Habila Abel Haruna
Keyword(s):  
Random Walk ◽  
Stock Market ◽  
Stock Returns ◽  
Stock Prices ◽  
Weak Form ◽  
Foreign Investors ◽  
Long Time ◽  
Random Walk Theory ◽  
Daily Stock Returns ◽  
Daily Returns

<div><p><em>This study tests the random walk theory in the Nigerian stock market by analyzing whether stock returns follow a random walk distribution. </em><em>The study employs the daily returns of the Top 20 most performing stocks on the NSE for the period January 1<sup>st</sup> 2010 to December 31<sup>st</sup> 2014. Autocorrelation and runs test</em><em> were employed for hypothesis testing.  </em><em>Based on our analysis, we found that the daily stock returns of the 20 most active stocks on the Nigerian stock market are randomly distributed indicating that Nigerian Stock market is informational efficient at the weak form level. </em><em>The implication of the finding is that no one can fool the market consistently for a long time by trading on the basis of past information such as historical stock prices. The study recommends that more efforts should be made to reposition the market to attract more investible funds from domestic and foreign investors.</em></p></div>

The Impact of Government Intervention in Banks on Corporate Borrowers’ Stock Returns

2013 ◽  
Vol 48 (5) ◽  
pp. 1635-1662 ◽  
Author(s):  
Lars Norden ◽  
Peter Roosenboom ◽  
Teng Wang
Keyword(s):  
Financial Crisis ◽  
Stock Market ◽  
Stock Returns ◽  
Banking Sector ◽  
Positive Impact ◽  
Support Programs ◽  
Government Interventions ◽  
Stock Market Performance ◽  
The Impact ◽  
The U.S

AbstractWe investigate whether and how government interventions in the U.S. banking sector influence the stock market performance of corporate borrowers during the financial crisis of 2007–2009. We measure firms’ exposures to government interventions with an intervention score that is based on combined information on the firms’ structure of bank relationships and their banks’ participation in government capital support programs. We find that government capital infusions in banks have a significantly positive impact on borrowing firms’ stock returns. The effect is more pronounced for riskier and bank-dependent firms and for those that borrow from banks that are less capitalized and smaller.

The Effects of Mergers and Acquisitions on Taiwanese Corporations

2000 ◽  
Vol 03 (02) ◽  
pp. 183-199 ◽  
Author(s):  
Tsung-Ming Yeh ◽  
Yasuo Hoshino
Keyword(s):  
Stock Market ◽  
Mergers And Acquisitions ◽  
Stock Returns ◽  
Stock Prices ◽  
Corporate Performance ◽  
Accounting Performance ◽  
Acquiring Firms ◽  
The Impact

This paper investigated the impact of M&As on both the acquiring firms' stock prices and corporate performance by using evidence from 20 Taiwanese corporations. Our data suggest that the accounting performance of Taiwanese acquiring firms failed to meet the stock market's expectation of future improvements in the operations of the acquiring firms. The stock market reacted in favor of the announcements of M&As, however, there is a downward change in the acquiring firms' profitability from premerger to postmerger periods. However we do not find any significant correlation between stock returns and the change in accounting performance, which is different from some previous studies.

scholarly journals The Effects of Money Supply and Interest Rates on Stock Prices, Evidence from Two Behavioral Experiments

2021 ◽  
Vol 8 (2) ◽  
pp. 33
Author(s):  
Christian A. Conrad
Keyword(s):  
Monetary Policy ◽  
Interest Rate ◽  
Stock Market ◽  
Interest Rates ◽  
Money Supply ◽  
Stock Prices ◽  
Positive Impact ◽  
Real Economy ◽  
Behavioral Experiments ◽  
The Impact

What is the impact of interest rate and monetary policy on the stock market? Some studies find a positive impact of expansive monetary policy on stock prices others prove the opposite. This paper examines the effects of monetary expansion and interest rate changes on investment behavior on the stock market by illustrating two behavioral experiments with students. In our experiments the increase of money supply and the decrease of interest rates had a direct positive impact on share prices. These findings support the hypothesis that extreme expansive monetary policy with low, zero or negative interest rates encourage financial bubbles on the stock market. To avoid a crash the exit from such a policy must be slow. As happened in 1929, crashes can damage the financial system and the real economy. Central banks must take this into account in their monetary policy.

Trading Volume and Cross-Autocorrelations of Stock Returns in Emerging Markets: Evidence from the Taiwan Stock Market

2004 ◽  
Vol 07 (04) ◽  
pp. 509-524
Author(s):  
Wen-Hsiu Kuo ◽  
Hsinan Hsu ◽  
Chwan-Yi Chiang
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Prices ◽  
Trading Volume ◽  
Price Limits ◽  
Speed Of Adjustment ◽  
New Information ◽  
Weak Evidence ◽  
Market Inefficiency ◽  
Daily Returns

This study empirically investigates the interaction between trading volume and cross-autocorrelations of stock returns in the Taiwan stock market. The result shows that returns on high trading volume portfolios lead returns on low trading volume portfolios when controlled for firm size, indicating that trading volume determines lead-lag cross-autocorrelations of stock returns. Overall, the empirical findings of this study demonstrate similar results for both monthly and daily returns, suggesting that nonsynchronrous trading is not the main reason for the lead-lag cross-autocorrelations presented in this study. Consequently, the empirical results presented here support the speed of adjustment hypothesis, and suggest that some market inefficiency exists in the Taiwan stock market. Additionally, compared with evidence of lead-lag cross-autocorrelations in the larger, less regulated US stock market, as examined by Chordia and Swaminathan (2000), Taiwan stock market displays less evidence of VARs and Dimson beta regressions. We conjecture that this weak evidence may result from the regulations limiting daily price movements in the Taiwan stock market. Although the price limits policy lowers risk and stabilizes stock prices, it also prevents stock prices and trading volume from instantaneously and fully reflecting new information.

scholarly journals THE IMPACT OF INTRADAY MOMENTUM ON STOCK RETURNS: EVIDENCE FROM S&P500 AND CSI300

2021 ◽  
Vol 24 (4) ◽  
pp. 124-141
Author(s):  
Saddam Hossain ◽  
Beáta Gavurová ◽  
Xianghui Yuan ◽  
Morshadul Hasan ◽  
Judit Oláh
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Trading Volume ◽  
Negative Impact ◽  
Positive Impact ◽  
Empirical Method ◽  
Monday Morning ◽  
Strategy Analysis ◽  
High Level ◽  
The Impact

This paper analyzes the statistical impact of COVID-19 on the S&P500 and the CSI300 intraday momentum. This study employs an empirical method, that is, the intraday momentum method used in this research. Also, the predictability of timing conditional strategies is also used here to predict the intraday momentum of stock returns. In addition, this study aims to estimate and forecast the coefficients in the stock market pandemic crisis through a robust standard error approach. The empirical findings indicate that the intraday market behavior an unusual balanced; the volatility and trading volume imbalance and the return trends are losing overwhelmingly. The consequence is that the first half-hour return will forecast the last half-hour return of the S&P500, but during the pandemic shock, the last half-hour of both stock markets will not have a significant impact on intraday momentum. Additionally, market timing strategy analysis is a significant factor in the stock market because it shows the perfect trading time, decides investment opportunities and which stocks will perform well on this day. Besides, we also found that when the volatility and volume of the S&P500 are both at a high level, the first half-hour has been a positive impact, while at the low level, the CSI300 has a negative impact on the last half-hour. In addition, this shows that the optimistic effect and positive outlook of the stockholders for the S&P500 is in the first half-hours after weekend on Monday morning because market open during the weekend holiday, and the mentality of every stockholder’s indicate the positive impression of the stock market.

scholarly journals DAILY VARIATION AND PREDICTING STOCK MARKET RETURNS FOR THE FRANKFURTER BÖRSE (STOCK MARKET)

2008 ◽  
Vol 9 (3) ◽  
pp. 189-198 ◽  
Author(s):  
Jeffrey E. Jarrett ◽  
Janne Schilling
Keyword(s):  
Time Series ◽  
Stock Market ◽  
Stock Returns ◽  
Stock Prices ◽  
Stock Exchange ◽  
Arima Model ◽  
Unit Root Test ◽  
Unit Roots ◽  
Stock Market Returns ◽  
Daily Stock Returns

In this article we test the random walk hypothesis in the German daily stock prices by means of a unit root test and the development of an ARIMA model for prediction. The results show that the time series of daily stock returns for a stratified random sample of German firms listed on the stock exchange of Frankfurt exhibit unit roots. Also, we find that one may predict changes in the returns to these listed stocks. These time series exhibit properties which are forecast able and provide the intelligent data analysts’ methods to better predict the directive of individual stock returns for listed German firms. The results of this study, though different from most other studies of other stock markets, indicate the Frankfurt stock market behaves in similar ways to North American, other European and Asian markets previously studied in the same manner.

scholarly journals The Impact of Foreigners’ Trades on Equity Prices: Evidence from Macedonian Stock Exchange

2020 ◽  
Vol 15 (1) ◽  
pp. 56-65
Author(s):  
Julijana Angelovska
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Stock Prices ◽  
Capital Inflows ◽  
General Belief ◽  
Price Pressure ◽  
Domestic Capital ◽  
Base Broadening ◽  
Foreign Capital Inflows ◽  
The Impact

AbstractEmerging countries’ economies are dependent on foreign capital inflows. For policy makers and researchers of particular interest is to understand the nature of these flows and their impact on the domestic capital market. The first significant foreign inflows entered the Macedonian Stock Market at the end of 2004, and stock prices were increased. It was general belief among the investors that foreigners are driving the prices on the Macedonian Stock Market. This study examines the influence of foreign investors’ trades on stock returns in Macedonia using base broadening and price pressure hypotheses. Strong evidence consistent with the base-broadening hypothesis shows that 1% of monthly net inflows as a percentage of last month market capitalization is connected with 7% rise in monthly returns on the Macedonian stock market. The findings do not support the price pressure hypothesis, so the rise in the prices is permanent.

scholarly journals Impact of splits on stock splits ratios around announcement day: empirical evidence from India

2020 ◽  
Vol 17 (3) ◽  
pp. 345-359
Author(s):  
Anjali Gupta ◽  
Purushottam Kumar Arya
Keyword(s):  
Stock Returns ◽  
Stock Prices ◽  
Positive Impact ◽  
Abnormal Returns ◽  
Stock Splits ◽  
P Value ◽  
Share Prices ◽  
Stock Split ◽  
Percentage Basis ◽  
The Impact

Stock split should not have any impact on share prices, and there should be no value creation. The purpose of this study is to find any impact of stock splits announced in India between 1999 and 2019 on stock returns. The study aims to find differences in the impact of stock splits on stock returns with differences in stock split ratios. To examine the impact, the study includes 224 splits and adopts the standard event study methodology to find results. The presence of an abnormal return around split announcement day is the main factor, which determines the impact of stock split on the stocks. Average Abnormal Returns and Cumulative Average Abnormal Returns on percentage basis, z-test and p-value are used to statistically analyze the impact on stock prices around the announcement day of splits. These tests are used across different window periods (e.g., 20 days, 10 days and 5 days) around the event day (announcement day) to check if the impact of the event continues or decreases over time. The results point to a significant positive impact of stock splits on the returns of stock around the day the split was announced. The results also show that the impact is stronger for stock splits with ratios 10:1 (2.72 percent) and 10:2 (2.14 percent). It can be suggested that 10:1 and 10:2 are the most popular split ratios that receive maximum ongoing response to splits in the announcement window.

Sign in / Sign up

Export Citation Format

Share Document