Broker ID transparency and price impact of trades: evidence from the Korean Exchange

2015 ◽  
Vol 11 (1) ◽  
pp. 117-131 ◽  
Author(s):  
Thu Phuong Pham
Keyword(s):  
Stock Market ◽  
Private Information ◽  
Stock Exchange ◽  
Price Impact ◽  
Least Square ◽  
Market Quality ◽  
Order Book ◽  
Information Effect ◽  
Content Type ◽  
Market Depth

Purpose – The purpose of this paper is to examine the changes in the price impact of trades in the major Korean stock market following the introduction of disclosure to all traders of the top five brokers on the buy-side and the top five brokers on the sell-side of trades in real time for each stock in the KOSDAQ market. Design/methodology/approach – The paper uses several alternative metrics for the price impact of trades. The study applies estimation methodology that accounts for the potential endogeneity of other market quality proxies, which are used as control variables in price impact regressions, by utilizing two-stage-least-square methods with fixed effect specification. Findings – This study finds that the permanent price impact (information effect) of both buyer- and seller-initiated trades increases, which indicates that information is disseminated quicker in a transparent market. Uninformed trades have a larger permanent price impact than informed trades on both the buy and sell sides. The liquidity price effects are found to be mixed for buys and sells. Research limitations/implications – The study supports the current policy of the Korean Exchange to publicly display the five most active broker IDs on both the buy and sell sides, as it attracts both informed and liquidity traders, leading to faster price discovery in a more transparent market. However, a future study which analyzes the change in the market quality in both local markets would provide a complete picture of the effects of the policy. Originality/value – Earlier studies documenting the effect of broker ID disclosure on market quality used effective spreads, market depth or order book imbalance as market quality measures. This study contributes to the existing literature by examining the changes in direct measures of the private information effect and liquidity effect of trades in a stock market – the Korean Stock Exchange – when the other part of the exchange (the KOSDAQ stock market) shifts to public broker ID transparency at the same transparency level.

Stock market performance: is the weather a bother in the tropics? Evidence from Ghana

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joseph Emmanuel Tetteh ◽  
Anthony Amoah
Keyword(s):  
Stock Market ◽  
Empirical Evidence ◽  
Stock Exchange ◽  
Market Performance ◽  
Negative Relationship ◽  
Weather Conditions ◽  
Least Square ◽  
Content Type ◽  
Stock Market Performance ◽  
Behavioural Factors

PurposeIn the wake of climate change and its associated impact on firms' performance, this paper attempts to provide a piece of empirical evidence in support of the effect of weather conditions on the stock market performance.Design/methodology/approachMonthly time-series dataset and the fully modified ordinary least square (FMOLS) semi-parametric econometric technique are used to establish the effect of weather variables on stock market return.FindingsThis study finds that temperature and wind speed have a negative and statistically significant relationship with stock market performance. Likewise, humidity exhibits a negative relationship with stock market performance, albeit insignificant. The relevant stock market and macroeconomic control variables are statistically significant in addition to exhibiting their expected signs. The findings lend support to advocates of behavioural factors inclusion in asset pricing and decision-making.Practical implicationsFor policy purposes, the authors recommend that traders, investors and stock exchange managers must take into consideration different weather conditions as they influence investors' behaviour, investment decisions, and consequently, the stock market performance.Originality/valueTo the best of the authors’ knowledge, this study provides the first empirical evidence of the nexus between disaggregated weather measures and stock market performance in Ghana. This study uses monthly data (which are very rare in the literature, especially for developing country studies) to provide empirical evidence that weather influences stock market performance.

Absence of the weekend effect and industry-style portfolios

2019 ◽  
Vol 12 (4) ◽  
pp. 463-475
Author(s):  
Selma Izadi ◽  
Abdullah Noman
Keyword(s):  
New York ◽  
Stock Market ◽  
Structural Breaks ◽  
Stock Exchange ◽  
Structural Break ◽  
Weekend Effect ◽  
Content Type ◽  
Market Portfolio ◽  
The Us ◽  
Using Data

Purpose The existence of the weekend effect has been reported from the 1950s to 1970s in the US stock markets. Recently, Robins and Smith (2016, Critical Finance Review, 5: 417-424) have argued that the weekend effect has disappeared after 1975. Using data on the market portfolio, they document existence of structural break before 1975 and absence of any weekend effects after that date. The purpose of this study is to contribute some new empirical evidences on the weekend effect for the industry-style portfolios in the US stock market using data over 90 years. Design/methodology/approach The authors re-examine persistence or reversal of the weekend effect in the industry portfolios consisting of The New York Stock Exchange (NYSE), The American Stock Exchange (AMEX) and The National Association of Securities Dealers Automated Quotations exchange (NASDAQ) stocks using daily returns from 1926 to 2017. Our results confirm varying dates for structural breaks across industrial portfolios. Findings As for the existence of weekend effects, the authors get mixed results for different portfolios. However, the overall findings provide broad support for the absence of weekend effects in most of the industrial portfolios as reported in Robins and Smith (2016). In addition, structural breaks for other weekdays and days of the week effects for other days have also been documented in the paper. Originality/value As far as the authors are aware, this paper is the first research that analyzes weekend effect for the industry-style portfolios in the US stock market using data over 90 years.

Islamic calendar and stock market behaviour in India

2018 ◽  
Vol 45 (11) ◽  
pp. 1550-1566
Author(s):  
Dharani Munusamy
Keyword(s):  
Stock Market ◽  
Least Square Method ◽  
Least Square ◽  
Stock Market Returns ◽  
Content Type ◽  
Ordinary Least Square ◽  
Average Return ◽  
Year Effect ◽  
The Common ◽  
The Impact

Purpose The purpose of this paper is to examine the behavior of the stock market returns in the different days of the week and different months of the year in accordance with the Islamic calendar. Further, the study estimates the risk-adjusted returns to test the performance of the indices during the Ramadan and non-Ramadan days. Finally, the study investigates the impact of Ramadan on the returns and the volatility of the stock market indices in India. Design/methodology/approach Initially, the study applies the Ordinary Least Square method to test the day-of-the-week and the month-of-the-year effect of the common and Shariah indices. Next, the study employs the risk-adjusted measurement to examine the underperformance and over-performance of the indices for both the periods. Finally, the study estimates the GARCH (1,1) and GJR-GARCH (1,1) models to observe the impact of Ramadan on the returns and the volatility of the Shariah indices in India. Findings The study finds that an average return of the indices during the Ramadan days are higher than non-Ramadan days. Further, the average returns of the Shariah indices are significantly higher on Wednesday than other days of the week. In addition, the highest and significant mean returns and mean risk-adjusted returns of the indices during the Ramadan days are observed. Finally, the study finds an evidence of the Ramadan effect on the returns and volatility of the indices in India. Originality/value The study observes evidence that the Ramadan effect influences the Shariah indices, but not the common indices in the stock market of the non-Muslim countries. It indicates that the Ramadan creates the positive mood and emotions in the investors buying and selling activities. The study suggests that investors can buy the shares before Ramadan period and sell them during the Ramadan days to get an abnormal return in the emerging markets.

Do Indian stock market sentiments impact contemporaneous returns?

2018 ◽  
Vol 7 (3) ◽  
pp. 332-346
Author(s):  
Divya Aggarwal ◽  
Pitabas Mohanty
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Temporal Dynamics ◽  
Stock Exchange ◽  
Principal Component ◽  
Stock Index ◽  
Content Type ◽  
Investor Sentiments ◽  
Indian Stock Market ◽  
The Impact

Purpose The purpose of this paper is to analyse the impact of Indian investor sentiments on contemporaneous stock returns of Bombay Stock Exchange, National Stock Exchange and various sectoral indices in India by developing a sentiment index. Design/methodology/approach The study uses principal component analysis to develop a sentiment index as a proxy for Indian stock market sentiments over a time frame from April 1996 to January 2017. It uses an exploratory approach to identify relevant proxies in building a sentiment index using indirect market measures and macro variables of Indian and US markets. Findings The study finds that there is a significant positive correlation between the sentiment index and stock index returns. Sectors which are more dependent on institutional fund flows show a significant impact of the change in sentiments on their respective sectoral indices. Research limitations/implications The study has used data at a monthly frequency. Analysing higher frequency data can explain short-term temporal dynamics between sentiments and returns better. Further studies can be done to explore whether sentiments can be used to predict stock returns. Practical implications The results imply that one can develop profitable trading strategies by investing in sectors like metals and capital goods, which are more susceptible to generate positive returns when the sentiment index is high. Originality/value The study supplements the existing literature on the impact of investor sentiments on contemporaneous stock returns in the context of a developing market. It identifies relevant proxies of investor sentiments for the Indian stock market.

Investors overconfidence behaviour at Bombay Stock Exchange

2018 ◽  
Vol 14 (5) ◽  
pp. 613-632 ◽  
Author(s):  
Venkata Narasimha Chary Mushinada ◽  
Venkata Subrahmanya Sarma Veluri
Keyword(s):  
Private Information ◽  
Trading Volume ◽  
Negative Impact ◽  
Stock Exchange ◽  
Public Information ◽  
Response Analysis ◽  
Content Type ◽  
Daily Data ◽  
Level Data ◽  
Attribution Bias

PurposeThe purpose of the paper is to empirically test the overconfidence hypothesis at Bombay Stock Exchange (BSE).Design/methodology/approachThe study applies bivariate vector autoregression to perform the impulse-response analysis and EGARCH models to understand whether there is self-attribution bias and overconfidence behavior among the investors.FindingsThe study shows the empirical evidence in support of overconfidence hypothesis. The results show that the overconfident investors overreact to private information and underreact to the public information. Based on EGARCH specifications, it is observed that self-attribution bias, conditioned by right forecasts, increases investors’ overconfidence and the trading volume. Finally, the analysis of the relation between return volatility and trading volume shows that the excessive trading of overconfident investors makes a contribution to the observed excessive volatility.Research limitations/implicationsThe study focused on self-attribution and overconfidence biases using monthly data. Further studies can be encouraged to test the proposed hypotheses on daily data and also other behavioral biases.Practical implicationsInsights from the study suggest that the investors should perform a post-analysis of each investment so that they become aware of past behavioral mistakes and stop continuing the same. This might help investors to minimize the negative impact of self-attribution and overconfidence on their expected utility.Originality/valueTo the best of the authors’ knowledge, this is the first study to examine the investors’ overconfidence behavior at market-level data in BSE, India.

IPO valuation using the price-multiple methods: evidence from Malaysia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chui Zi Ong ◽  
Rasidah Mohd-Rashid ◽  
Kamarun Nisham Taufil-Mohd
Keyword(s):  
Initial Public Offerings ◽  
Stock Exchange ◽  
Least Square ◽  
Multiple Methods ◽  
Cross Sectional ◽  
Ols Regression ◽  
Content Type ◽  
Public Offerings ◽  
Ordinary Least Square ◽  
Valuation Method

Purpose This study aims to investigate the valuation accuracy of Malaysian initial public offerings (IPOs) by using price-multiple methods. Design/methodology/approach Cross-sectional data including 467 IPOs listed on the Malaysian stock exchange were used for the period of 2000–2017. This study used univariate ordinary least square (OLS) regression to analyse the relationship between IPOs’ price-multiples and comparable firms’ price-multiples. The test of valuation accuracy was conducted via computing valuation errors by segregating the sample into two groups: fixed-price IPOs and book-built IPOs. Furthermore, multiple OLS regression was used to examine the influence of IPO valuation on underpricing. Findings The findings of the results suggested that IPOs price-to-earnings (P/E), price-to-book (P/B) and price-to-sales (P/S) multiples were positively related to the median P/E, P/B and P/S multiples of five comparable firms matched by industry and revenues. The P/S multiple was shown to be the most significant valuation method, specifically in book-built IPOs. The findings indicated that those firms that had a lower valuation in comparison to the comparable firms were inclined to underprice their IPOs to allure investors to subscribe IPOs. In addition, book-built IPOs that had fair valuations were inclined to generate higher initial returns for investors. Practical implications The findings of this study observed implications for underwriters in avoiding the mis-valuation issue by considering the book-building mechanism. Originality/value This study attempted to explore the suitability of the valuation method to value IPOs in Malaysia.

Sponsor ownership and IPO initial return: evidence from Pakistan stock exchange

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Waqas Mehmood ◽  
Rasidah Mohd-Rashid ◽  
Abd Halim Ahmad ◽  
Saqib Amin
Keyword(s):  
Initial Public Offering ◽  
Positive Impact ◽  
Stock Exchange ◽  
Point Of View ◽  
Least Square ◽  
Content Type ◽  
Interaction Variable ◽  
Regulatory Changes ◽  
Initial Return ◽  
Regulation Changes

Purpose The purpose of this paper was to examine whether or not the sponsor lock-up ratio, lock-up period, regulation changes and interaction variable (oversubscription [OSR]) affected initial public offering (IPO) initial return. Design/methodology/approach A complete sample of 111 listed IPOs in Pakistan stock exchange from 1996 to 2018 was incorporated. Based on the cross-section data, this paper estimated using ordinary least square and quantile least square for robustness. In addition to that, this paper estimated the data using stepwise least square to inspect the signalling aspect of the lock-up ratio, lock-up period and regulation changes on IPO initial return. Findings This study showed that the lock-up ratio, lock-up period and regulatory changes had a positive impact on the IPO’s initial return. Furthermore, the assertion of interaction variable (regulation changes × OSR) and (lock-up period × OSR) was a negatively significant factor in influencing the IPO’s initial return. The results of this paper were robust to endogeneity bias. Practical implications The finding of this study proposed that sponsors of IPOs can be a strong signal of risk or quality, which was consistent with the signalling theory prediction. Concurrently, investors must be aware of the total proportions of lock-up ratio so that they can estimate the chances of getting the highest initial return on IPOs. From the regulators’ point of view, it is suggested that the lock-up ratio and the lock-up period should be determined with a deeper understanding and incorporated into the equity guidelines as it is evident that these factors are priced by the market. Originality/value Studies on the effect of sponsors have always been centred on well-recognized firms. Therefore, using the IPO samples listed in Pakistan, this paper contributes to the IPO literature by investigating the lock-up ratio of the sponsor, the lock-up period and the regulatory changes to the initial IPO return. Additionally, OSR has been introduced as an interaction variable among the sponsors’ lock-up period and regulations changes to explain the ongoing IPO initial return phenomenon.

The effects of board size and board composition on CSR disclosure: a study of banking sectors in Bangladesh

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Md. Abdur Rouf ◽  
Md. Alamgir Hossan
Keyword(s):  
Significant Relationship ◽  
Annual Report ◽  
Stock Exchange ◽  
Least Square ◽  
Board Composition ◽  
Board Size ◽  
Content Type ◽  
Female Directors ◽  
The Government ◽  
Csr Disclosure

Purpose The purpose of this study is to provide a profound understanding of the nature and extent of corporate social responsibility (CSR) disclosure in the annual report by the listed banking sectors in Bangladesh for examining the effect of board size and board composition on CSR disclosure. Design/methodology/approach The sample selected of all the 30 listed banks enlisted in the Dhaka Stock Exchange and the study used a content analysis approach. An ordinary least square regression model is fitted to the data for assessing the effect of independent variables on the total CSR disclosure score. An un-weighted approach has been used for this study. Findings The results of the study demonstrate that the extent of CSR disclosure of listed banks in Bangladesh varies from 11.11% to 73.33%, and on average, they report 45.37% and 43.44%, respectively. Moreover, the study observed a significant relationship between the proportion of female directors and CSR disclosure. Conversely, board size has been found no significant relationship with the CSR disclosure but the proportion of independent directors has been found a significant relationship with the CSR disclosure in the annual report by the listed banking sectors in Bangladesh. Social implications The study is expected to get a maximum scenario of CSR disclosure of banking sectors in Bangladesh. Government and other regulatory bodies can also get full information concerning CSR disclosure practices for formulating guidelines in this regard. If the Government of Bangladesh implicates the policies that the banks are to nominate a required number of female directors to boards, the consideration of the significant number of female directors and their power will be able to protect the interests of different stakeholder groups notably. Originality/value The study contributes to the CSR literature as it presents empirical evidence of the effects of board size and board composition on the CSR disclosure of banking sectors in developing countries such as Bangladesh.

Investor attention and market correction

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhongdong Chen
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Trading Behavior ◽  
Investor Attention ◽  
Information Effect ◽  
Content Type ◽  
Economic Significance ◽  
New Information ◽  
Positive Volume ◽  
The Impact

PurposeThis study disentangles the investor-base effect and the information effect of investor attention. The former leads to a larger investor base and higher stock returns, while the latter facilitates the dissemination of information among investors and impacts informational trading.Design/methodology/approachUsing positive volume shocks as a proxy for increased investor attention, this study evaluates the impacts of the investor-base effect and the information effect of investor attention on market correction following extreme daily returns in the US stock market from 1966 to 2018.FindingsThis study finds that the investor-base effect increases subsequent returns of both daily winner and daily loser stocks. The information effect leads to economically less significant return reversals for both the daily winner and daily loser stocks. These two effects tend to have economically more significant impacts on the daily loser stocks. The economic significance of these two effects is also related to firm size and the state of the stock market.Originality/valueThis study is the first to disentangle the investor-base effect and the information effect of increased investor attention. The evidence that the information effect facilitates the dissemination of new information and impacts stock returns contributes to the strand of studies on the impact of investor attention on market efficiency. This evidence also contributes to the strand of studies analyzing the impact of informational trading on stock returns. In addition, this study provides evidence for market overreaction and the subsequent correction. The results for up and down markets contribute to the literature on the investors' trading behavior.

Iran’s ebullient stock market is heading for a crash

2020 ◽  
Keyword(s):  
Stock Market ◽  
Stock Exchange ◽  
Real Estate Market ◽  
Social Consequences ◽  
Stock Market Crash ◽  
Content Type ◽  
High Inflation ◽  
Online Trading ◽  
The Government ◽  
Media Channels

Significance This was despite a sharp economic contraction, high inflation and currency devaluation. The government has played a significant role in promoting equities growth, with state or quasi-state organisations dominating the market. Impacts A stock market crash would have devastating economic and social consequences. With many reluctant to leave their houses because of COVID-19, the growth in online trading technology will accelerate. There will be a boom in firms providing stock market advice through social media channels for a small one-off or monthly fee. Diversion of funds from the forex market to the stock exchange will temporarily help ward off a new currency crisis. With richer Iranians seeking to transfer additional assets abroad, there could be a new boost for the Turkish real estate market.

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