The Market and Investors Reactions to Mariana’s and Brumadinho’s Environmental Disasters: Sentimental or Rational Decisions?

This research carried out event studies to analyze the reactions of the market and investors in Vale S.A. to the collapses of the Mariana and Brumadinho dams. It also assessed the extent to which the causes attributed to the market reactions to major disasters in previous research has helped to explain the reactions of the market and investors to the collapses of these dams. The analyses have shown that, in the case of the Fundão dam, there was a relevant reduction in the abnormal cumulative returns of common stocks and ADRs at the end of the eleven days of the collapse, despite the fact that the daily abnormal returns were not statistically significant. However, the abnormal trading volumes of these securities in the eleven days after the dam failure were generally negative and all statistically significant. In contrast, concerning the collapse of the Brumadinho dam, the abnormal returns on common stocks and ADRs were negative, relevant, and statistically significant, and, after the eleven days, the losses were considerable. The abnormal trading volumes of the securities were all positive and statistically significant, but the reactions of ADR investors were more intense than those of investors in common stocks. Examining the causal attributions made previously, there are indications that the market and investor reactions to the failures of the two dams were probably derived from the expectation that Vale and the other companies involved would incur severe losses and high contracting costs in political processes that would follow to the disasters, and from the difficulty the investors have had to assess the magnitude of these losses and costs.

HFTViz: Visualization for the exploration of high frequency trading data

High Frequency Trading (HFT), mainly based on high speed infrastructure, is a significant element of the trading industry. However, trading machines generate enormous quantities of trading messages that are difficult to explore for financial researchers and traders. Visualization tools of financial data usually focus on portfolio management and the analysis of the relationships between risk and return. Beside risk-return relationship, there are other aspects that attract financial researchers like liquidity and moments of flash crashes in the market. HFT researchers can extract these aspects from HFT data since it shows every detail of the market movement. In this paper, we present HFTViz, a visualization tool designed to help financial researchers explore the HFT dataset provided by NASDAQ exchange. HFTViz provides a comprehensive dashboard aimed at facilitate HFT data exploration. HFTViz contains two sections. It first proposes an overview of the market on a specific date. After selecting desired stocks from overview visualization to investigate in detail, HFTViz also provides a detailed view of the trading messages, the trading volumes and the liquidity measures. In a case study gathering five domain experts, we illustrate the usefulness of HFTViz.

The Initial Analysis of the Share Suitability for the Inclusion into an Active Trading Strategy

The article lists the problems inherent to the Russian stock market at the present stage, special attention is paid to the liquidity issues. The authors evaluate the shares of all issuers listed on the Moscow Stock Exchange for the possibility of their inclusion in an active strategy based on average trading volumes. The article calculates the effectiveness of using the methods of average values in assessing the compliance of the selected instruments with the minimum required liquidity values. In the course of the work, the industry features of the Russian market are taken into account. The classifier of the Moscow Exchange is used to distribute issuers by industry. In parallel, the liquidity imbalance between the branches of the Russian stock market is being investigated. The conclusion is given about the real number of stock market instruments suitable for use in active trading strategies. The result of the study is a formed set of shares distributed by industry.

A new look at the meeting clustering effect

PurposeThe study aims to test the existence of a meeting clustering effect in the Spanish Stock Exchange (SSE).Design/methodology/approachThis paper studies the relationship between the clustering of annual general meetings and stock returns in the SSE. A multivariate analysis is carried out in order to analyse the relationship between monthly returns and the clustering of general meetings in the SSE.FindingsThe authors show that meeting clustering exists and that some months exhibit significant and positive additional returns related to the holding of ordinary or extraordinary general meetings.Research limitations/implicationsThe authors have explored some possible explanations for the meeting clustering effect, such as a potential link with the “Halloween” effect or the presence of higher-than-normal levels of volatility, trading volumes or investor attention. However, none of these can explain the meeting clustering effect that emerges as a new anomaly in the SSE.Practical implicationsThe authors have documented significant and positive abnormal returns in some months that coincide with the holding of general meetings. Therefore, the holding of ordinary and/or extraordinary meetings in some months involves the release of relevant information for investors.Originality/valueThis study complements the financial literature because it is focused on the clustering of meetings and its effect on a stock market whose legal order is based on civil law. This fact allows us to shed new light on meeting clustering and its effect on other types of markets.

The Impact of Behavioural Biases on Stock Volatility: Evidence From Pakistan Stock Exchange

The main purpose of the current study is to investigate the impact of behavioural biases such as confidence, optimism, and pessimism on stock volatility evidence from Pakistan Stock Exchange (PSX). Prospect theory and overconfidence theory formed the foundation of this study. The methodology composed of positivist philosophical stance, deductive approach and quantitative methods with secondary data. Data analysis involved the use of descriptive statistics, correlation and regression. The study consists ofa 10-years analysis from June 2008 to June 2018 and includes daily trading volumes KSE-100 index in PSX. Results reveal that behavioral biases such as confidence have a positive impact on stock volatility. Similarly, optimism bias has also a positive impact on stock volatility. While pessimism bias has recorded a negative impact on stock volatility. Therefore, it is concluded that behavioural biases have an impact on stock volatility. The current study has a contribution to the body of knowledge on the ground that it attempts to change the traditional notion of society who believes in the efficient market hypothesis. The study has implications for different stakeholders of stock markets.

The Informational Response of Different Investor Types on Futures Return Fluctuations: Evidence from Taiwan’s Index Futures Market

This article examines the price impact of different types of investors' trading activities in the Taiwan index futures market on the market, and explores the information roles of different types of investors. We find the trading volumes of different investors in the index futures market affect futures returns through information. The impact on index futures returns in the current period is small, showing the ability of foreign institutional investors to quickly respond to negative news and obtain information advantages. Further, from the MSE and QLIKE loss functions, individual investors use EGARCH(1,1), domestic institutional investors TGARCH(1,1), and foreign institutional investors GARCH(1,1). Further, the imbalance of buy and sell orders is suitable for the fluctuation of futures returns using EGARCH(1,1).

Do sponsors and democratic government influence the flipping activity of Pakistan IPO? Evidence from developing market

Purpose This study aims to examine the impact of sponsors and democratic government on the flipping activity of initial public offerings (IPOs). Design/methodology/approach Based on the sample of 95 IPOs listed on the Pakistan Stock Exchange between January 2000 and December 2019, this study used multiple cross-sectional regression to examine the relationship between sponsors and democratic government on flipping activity. Findings The findings indicate a significant negative association between sponsors and the flipping activity of IPOs. Sponsor(s) signal quality by trying to share accurate information about company values. As a result, the confidence of rational investors in the company’s future prospectus increases and they hold their shares for future gains, which reduces the flipping activity. Also, democratic government, along with sponsors' participation, provides investors with liquidity immediately after listing. Practical limitations/implications The findings of this study have implications for investors as they may assist them make informed decisions about whether or not to invest in an IPO with high sponsor(s) ownership. In addition, issuers should consider the disclosure of sponsor information(s) as such information may directly affect the first day’s trading volumes. Originality/value To the best of the authors’ knowledge, this is the first research study that explores the correlation between sponsors and democratic government and flipping activity of IPO. This study is important for investors and issuers.

A pre-predictive analysis of trading volume in the options market

Subject. This article examines the relationship between the three indicators of the derivatives market, namely price, trading volume, and open interest. Objectives. The article aims to characterize the dynamics of option trading volumes in terms of regularity and predictability of changes. Methods. For the study, we used general scientific methods. Results. The article substantiates the expediency of using fractal analysis methods to identify the stability of market trends, describes approaches to the classification of options, on the basis of which the range of options traded on the Moscow Exchange is characterized, and conducts a pre-predictive analysis of the time series of trading volume. Relevance. The results of the study can be useful to persons studying financial markets, market analysts and developers of option contracts.

REAKSI PASAR SAHAM PERUSAHAAN FARMASI SEBELUM DAN SESUDAH COVID-19 DI INDONESIA

The COVID-19 pandemic has had an impact on social and economic activities that have an impact on stock market conditions in the world, including Indonesia. This study identified differences in stock prices and stock trading volumes (TVA) of companies in the pharmaceutical sector before and after the announcement of the first COVID-19 case in Indonesia. The sample used is 10 pharmaceutical sector companies listed on the Indonesia Stock Exchange (IDX). The method used in this research is an event study using paired sample t-test. Based on the test results, there was a difference in prices before and after the announcement of the first COVID-19 case in Indonesia, but there was no difference in trading volume testing.