Browse
Submit Data
Databases
API
Help

Dataset Information

42 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Dataset on political connections, Sharia, and abnormal returns surrounding M&A announcement in the Indonesian stock market.

ABSTRACT: This article presents a dataset on political connections, Sharia, and abnormal returns surrounding the M&A announcement of listed firms on Indonesia Stock Exchange (IDX) during the period 2010-2016. The dataset provides both short-run and long-run abnormal returns. Using an event study methodology, I calculate cumulative abnormal returns (CAR) as short-run abnormal returns and buy-and-hold abnormal returns (BHAR) as long-run abnormal returns. This dataset may be useful for researchers who study political connections, Sharia, and M&A performance. The data presented in this article are related to the research article entitled "Political connections, Sharia and M&A performance: Evidence from Indonesia" (Wahyono, 2021) [1].

SUBMITTER: Wahyono B

PROVIDER: S-EPMC8473653 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Dataset on political connections, Sharia, and abnormal returns surrounding M&A announcement in the Indonesian stock market.

Wahyono Budi B

Data in brief 20210920

This article presents a dataset on political connections, Sharia, and abnormal returns surrounding the M&A announcement of listed firms on Indonesia Stock Exchange (IDX) during the period 2010-2016. The dataset provides both short-run and long-run abnormal returns. Using an event study methodology, I calculate cumulative abnormal returns (CAR) as short-run abnormal returns and buy-and-hold abnormal returns (BHAR) as long-run abnormal returns. This dataset may be useful for researchers who study ...[more]

PMID: 34604477

Similar Datasets

Dataset on share issuance, abnormal returns and market timing in the Brazilian stock market.

Project description:This article presents a dataset to investigate the determinants of firms' decision for primary share issuance and the effects of market timing on primary share issues in the Brazilian stock market. The data refer to Brazilian nonfinancial firms that issued primary shares (IPOs and SEOs) in the 2004-2015 period. The data were gathered from the online bases of Economatica® and the São Paulo Securities, Commodities and Futures Exchange (BM&FBovespa). The final sample was composed of 123 firms and 165 primary share issues: 97 initial public offerings and 68 follow-on offerings. The dataset was developed to support a model that captures market timing behavior through cumulative abnormal returns and shows the effects of this behavior on the amount of proceeds raised. The dataset contains subsamples and different analysis time windows, processed and unprocessed data. Researchers can use the dataset for future research and comparisons with other markets and models. The related research article using part of the current dataset was published under the following title: "Effects of market timing on primary share issues in the Brazilian capital market" (Gomes et al.).

| S-EPMC6661535 | biostudies-literature

Market framing bias and cross-sectional stock returns.

Project description:This paper introduces the market framing bias (MFB): a framing effect that affects the return-risk tradeoff under different frameworks of aggregate market losses and profits, which is measured by the absolute difference between betas in the rising and falling markets. The paper finds that the MFB can predict lower future stock return on the cross-section. Specifically, after controlling for various firm-specific characteristics, this predictive power of the FMB declines over time. Furthermore, the predictive power of the FMB is stable in the short term even after controlling for various pricing factors and firm-specific characteristics.

| S-EPMC10468084 | biostudies-literature

ESG performance, herding behavior and stock market returns: evidence from Europe

Project description:This paper tests how financial performance indicators and combined ESG score for large-cap stocks impact on stock return. In particular, we examine how market capitalization, price to book value, Sharpe ratio and ESG score of large-cap firms in Europe are related to their stock performance. We consider a panel data consisting of six European countries—Portugal, Italy, Greece, Spain, France and Germany—for the period 2010–2020. For Greek and French firms, a firm’s size tends to negatively affect its stock returns. The investors in European countries (except Italy) do not jeopardize their returns by investing in highly ESG scoring firms. We argue that the benefit of not investing in highly ESG-scoring firms might lead investors to select smaller size companies with a higher price to book value and higher Sharpe ratio, as it is more likely to generate higher returns. Moreover, Italian firms are more susceptible to ESG issues, as ESG performance and stock return seem to have a significant negative correlation. This valuable result was confirmed by conducting a robustness test for Europe as a whole using the Euronext100 index. Finally, we find no evidence that ESG motivates herding in our selected sample (this is not the case for Greece and France), while we report evidence of ESG herding behavior during the Covid-19 outbreak in Portugal, Italy and Greece. Supplementary Information The online version contains supplementary material available at 10.1007/s12351-023-00745-1.

| S-EPMC9930029 | biostudies-literature

Sign realized jump risk and the cross-section of stock returns: Evidence from China's stock market.

Project description:Using 5-minute high frequency data from the Chinese stock market, we employ a non-parametric method to estimate Fama-French portfolio realized jumps and investigate whether the estimated positive, negative and sign realized jumps could forecast or explain the cross-sectional stock returns. The Fama-MacBeth regression results show that not only have the realized jump components and the continuous volatility been compensated with risk premium, but also that the negative jump risk, the positive jump risk and the sign jump risk, to some extent, could explain the return of the stock portfolios. Therefore, we should pay high attention to the downside tail risk and the upside tail risk.

| S-EPMC5542663 | biostudies-literature

Does non-fundamental news related to COVID-19 matter for stock returns? Evidence from Shanghai stock market.

Project description:The COVID-19 outbreak generates various types of news that affect economic and financial systems. No studies have assessed the effects of such news on financial markets. This study sheds light on the impact of non-fundamental news related to the COVID-19 pandemic on the liquidity and returns volatility. Because we examined extreme events, we performed quantile regression on daily data from December 31, 2019 to the end of lockdown restrictions in China on April 7, 2020. Results showed that the non-fundamental news, as the number of deaths and cases related to the COVID-19, raised the stock market returns volatility and reduced the level of stock market liquidity, increasing overall risk, whereas fundamental macroeconomic news remained largely immaterial for the stock market. These findings are explained by a knock-on effect because the health system's inability to manage and treat a high number of COVID-19 patients in intensive care led the country to implement a lockdown and the global economy to largely shut down.

| S-EPMC9756967 | biostudies-literature

Asymmetric dependence between stock market returns and news during COVID-19 financial turmoil.

Project description:•I investigate the stock market's reaction to coronavirus news in the top six most affected countries by the pandemic.•The fake news exerts a negative nonlinear influence on the inferior and the middle quantiles throughout the distribution of returns.•The media coverage leads to a decrease in returns across middle and superior quantiles and has no effects on the inferior ones.•During COVID19 turmoil superior quantiles of returns distribution exhibit negative dependence on past performances, while inferior and middle quantiles are not affected by this phenomenon.•The gold return has a positive correlation with the stock markets, which amplifies during extreme bearish and bullish periods indicating that it does not behave as a "Safe Havens" asset.

| S-EPMC7299872 | biostudies-literature

Local versus global factors weighing on stock market returns during the COVID-19 pandemic.

Project description:We use stock market returns and a new, weekly available, GDP tracker to estimate a structural VAR identified with long-run restrictions. We find that global 'news' contribute more than local 'news' shocks to explaining the recent variance of equity returns from developing and small developed countries. Since data do not (yet) point to an increase in financial integration during the current pandemic, our investigations support the alternative that these markets hold too optimistic views on their prospects and future ties with the global economy.

| S-EPMC8994473 | biostudies-literature

COVID-19 pandemic effect on trading and returns: Evidence from the Chinese stock market.

Project description:Using a daily foreign and institution flows data, this paper studies how institutional and foreign investors respond to the COVID-19 pandemic events in China. The results indicate that during the COVID-19 crisis foreign investors play a market stabilization role showing significant negative feedback trading, whereas institution investors do not stabilize the market. And compared to the pre-COVID-19 period, foreign investors even exhibit stronger negative feedback trading. Further analyses confirm that foreign investors' negative feedback is mainly driven by their response to negative returns. Moreover, both institutional and foreign investors' trading show stronger forecastability of future returns during the pandemic period. And the negative returns after foreigners' selling and positive returns after institutional buying are much stronger during the crisis period.

| S-EPMC9188298 | biostudies-literature

Ambient particulate air pollution and daily stock market returns and volatility in 47 cities worldwide.

Project description:We studied globally representative data to quantify how daily fine particulate matter (PM2.5) concentrations influence both daily stock market returns and volatility. Time-series analysis was applied on 47 city-level environmental and economic datasets and meta-analysis of the city-specific estimates was used to generate a global summary effect estimate. We found that, on average, a 10 μg/m3 increase in PM2.5 reduces same day returns by 1.2% (regression coefficient: - 0.012, 95% confidence interval: - 0.021, - 0.003) Based on a meta-regression, these associations are stronger in areas where the average PM2.5 concentrations are lower, the mean returns are higher, and where the local stock market capitalization is low. Our results suggest that a 10 μg/m3 increase in PM2.5 exposure increases stock market volatility by 0.2% (regression coefficient 0.002, 95% CI 0.000, 0.004), but the city-specific estimates were heterogeneous. Meta-regression analysis did not explain much of the between-city heterogeneity. Our results provide global evidence that short-term exposure to air pollution both reduces daily stock market returns and increases volatility.

| S-EPMC8060286 | biostudies-literature

Penalties for industrial accidents: The impact of the Deepwater Horizon accident on BP's reputation and stock market returns.

Project description:Do visible industrial accidents damage firms' reputations and depress their stock market returns, and do these penalties spill over to other firms in the industry? On April 20, 2010, the Deepwater Horizon offshore oil rig in the Gulf of Mexico leased by BP exploded and sank, causing 11 deaths and the largest marine oil spill in US history. We examine the impact of this accident on BP's reputation and stock market performance using data from YouGov's BrandIndex and Capital IQ's financial data for the period 2007-2017. We employ a synthetic control analysis to examine the extent and duration of these penalties. We find that in the aftermath of the Deepwater accident, BP's reputation declined by approximately 50% relative to the synthetic control, and this decline persisted through the end of 2017. Yet, in terms of financial market returns, though the stock price dropped drastically in the first two months, we do not find a statistically significant decline in the stock market returns either in the mid-term (1-2 years) or the long term (2-7 years). In terms of spillover effects, we find no evidence of reputational damage or a decline in stock market returns for other oil and gas firms. These findings suggest that while environmental accidents invite swift and lasting reputational penalties, they might not depress the stock market performance in the long run. Moreover, the impact either on reputation or stock market returns does not necessarily spill over to other firms in the same industry.

| S-EPMC9200171 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data