scholarly journals Investor Inattention to All-Cash Acquisition Announcements: A Joint Day-Time Analysis in the Spanish Market

2021 ◽  
Vol 13 (2) ◽  
pp. 721
Author(s):  
José Emilio Farinós ◽  
Begoña Herrero ◽  
Miguel Ángel Latorre
Keyword(s):  
Trading Volume ◽  
Strategic Behavior ◽  
Market Reaction ◽  
Joint Analysis ◽  
Limited Attention ◽  
Share Prices ◽  
Target Firms ◽  
Investor Inattention ◽  
Day Of The Week ◽  
Acquisition Announcements

Prior studies suggest that investors have limited attention, which determines the speed with which information is incorporated into share prices and, in turn, affects the efficiency of the markets. Unlike other corporate events, the information contained in an acquisition announcement is generally less standard and more complicated to process. Therefore, investor inattention is less likely around this event. In this study we test the existence of investor inattention for a sample of all-cash acquisition announcements of listed and unlisted target firms released by listed Spanish firms from 1998 to 2018. Cash acquisitions allow us to control for the strategic behavior of overvalued companies engaged in stock-financed acquisitions. We perform a joint analysis of day of the week and time of trade from both a univariate and a multivariate perspective, after controlling for several factors that are related to the market reaction to acquisition announcements. Consistent with the notion that investors are less attentive to Friday announcements, we find a significant lower market reaction to acquisition announcements released during market trading hours both in terms of price and trading volume.

scholarly journals MARKET REACTION ON THE ANNOUNCEMENT OF SRI KEHATI INDEX IN INDONESIAN STOCK EXCHANGE

2019 ◽  
Author(s):  
Anggita Langgeng Wijaya ◽  
Mia Noviyanti ◽  
Probo Mahayu
Keyword(s):  
Trading Volume ◽  
Market Reaction ◽  
Stock Exchange ◽  
Abnormal Returns ◽  
Rank Test ◽  
Stock Trading ◽  
Population Sampling ◽  
Signed Rank ◽  
Before And After ◽  
Signed Rank Test

The purpose of this study was to test the market reaction to the announcement of the Sri Kehati Index on the Indonesia Stock Exchange. The population in this study is all companies included in the Sri Kehati Index from 2013 to 2016. The selection of samples was taken by the population sampling method. Hypothesis testing is done by paired t test and Wilcoxon Signed Rank Test. The findings of this research are: 1) there is no difference in abnormal returns before and after the announcement of the Sri Kehati Index on the Indonesia Stock Exchange. 2) There is a difference in the activity of stock trading volume before and after the announcement of the Sri Kehati index in the 5th and 6th periods, but there is no difference in the activity of stock trading volume in other periods. The Indonesia Stock Exchange did not react consistently to the announcement of the Sri Kehati Index.

scholarly journals MENGGUNAKAN MD&A UNTUK MENINGKATKAN PERKIRAAN PENDAPATAN DAN REAKSI INVESTOR (STUDI EMPIRIS PERUSAHAAN GO PUBLIC DI INDEKS SAHAM SYARIAH INDONESIA)

2020 ◽  
Vol 4 (2) ◽  
pp. 309-332
Author(s):  
Mila Alim Bahri
Keyword(s):  
Corporate Governance ◽  
Stock Returns ◽  
Trading Volume ◽  
Stock Return ◽  
Annual Report ◽  
Market Reaction ◽  
T Test ◽  
Stock Index ◽  
Volume Activity ◽  
Purposive Sampling

Abstract This study aims to provide empirical evidence of investors' reactions to disclosure management discussion and analysis (MD&A) and Trading Volume Activity (TVA) in companies listed on the Indonesia Stock Exchange from 2013 to 2018. The motivation for this research is that there are not many studies in Indonesia. which investigated the effects of MD&A on investor decisions which are illustrated by the market reaction to stock returns and volume of trading activity (TVA). This research is a quantitative study using secondary data as a source of data collection with the population of companies registered in ISSI for the 2013-2018 period. With the purposive sampling technique, 30 companies were obtained based on the highest average daily transaction value in the regular market listed in the JII (Jakarta Islamic Index). The final data used in this study are those obtained from the Annual Report of companies listed on the Indonesian Sharia Stock Index (ISSI) and JII, the Corporate Governance Perception Index (CGPI) data from the survey results of The Indonesian Institute of Corporate Governance (IICG) for the period 2013-2018. Yahoo Finance Historical Prices list for the period 2013-2018, and SWA Magazine for the period 2013-2018. Then, hypothesis testing is carried out using multiple linear regression tests and partial non-parametric correlation. The results show that (1) there is a significant positive relationship of MD&A disclosure on stock returns and (2) there is a disclosure of a significant positive effect of MD&A on trading volume activities (TVA). This study also adds a paired sample t-test to find out the difference before and after the stock price and TVA. Keywords: Management's Discussion and Analysis (MD&A), Market Reaction, Stock Return, Trading Volume Activity.   Abstrak Penelitian ini bertujuan untuk memberikan bukti empiris dari reaksi investor terhadap pengungkapan manajemen diskusi dan analisis (MD&A) dan Trading Volume Activity (TVA) pada perusahaan yang terdaftar di Bursa Efek Indonesia pada tahun 2013 sampai dengan 2018. Motivasi penelitian ini adalah belum banyaknya studi di Indonesia yang menyelidiki efek MD&A pada keputusan investor yang diilustrasikan oleh reaksi pasar terhadap pengembalian saham dan volume aktivitas perdagangan (TVA). Penelitian ini merupakan penelitian kuantitatif dengan menggunakan data sekunder sebagai sumber pengumpulan data dengan populasi perusahaan yang terdaftar di ISSI periode 2013-2018. Dengan teknik Purposive Sampling sehingga diperoleh 30 perusahaan berdasarkan rata-rata nilai transaksi harian di pasar regular tertinggi yang terdaftar dalam JII (Jakarta Islamic Indeks). Data akhir yang digunakan dalam penelitian ini adalah yang diperoleh dari Annual Report perusahaan yang terdaftar di Indeks Saham Syariah Indonesia (ISSI) dan JII, data Corporate Governance Perception Index (CGPI) hasil survei The Indonesian Institute of Corporate Governance (IICG) periode 2013-2018, daftar Historical Prices Yahoo Finance periode 2013-2018, dan Majalah SWA periode 2013-2018. Kemudian, pengujian hipotesis dilakukan dengan menggunakan beberapa uji regresi linear dan korelasi non-parametrik parsial. Hasilnya menunjukkan bahwa (1) ada hubungan positif yang signifikan dari pengungkapan MD&A pada pengembalian saham dan (2) ada pengungkapan efek positif yang signifikan dari MD&A pada aktivitas volume perdagangan (TVA). Studi ini juga menambahkan pairedsampel t-test untuk mengetahui perbedaan sebelum dan sesudah harga saham dan TVA. Kata kunci: Management's Discussion and Analysis (MD&A), Market Reaction, Stock Return, Trading Volume Activity.

Are Analyst Recommendations Biased? Evidence from Corporate Bankruptcies

2006 ◽  
Vol 41 (1) ◽  
pp. 169-196 ◽  
Author(s):  
Jonathan Clarke ◽  
Stephen P. Ferris ◽  
Narayanan Jayaraman ◽  
Jinsoo Lee
Keyword(s):  
Multivariate Analysis ◽  
Trading Volume ◽  
Market Reaction ◽  
Conflicts Of Interest ◽  
Analyst Recommendations ◽  
Price Reversal

AbstractWe test whether a bias exists in analyst recommendations for firms that file for bankruptcy during 1995–2001. We fail to find overoptimism in analyst recommendations, including those of affiliated analysts. Our multivariate analysis of the market reaction to changes in analyst recommendations indicates that prior affiliation exerts no impact on either returns or trading volume. We find that the market does not view recommendation upgrades by affiliated analysts as biased since there is no price reversal following these recommendation changes. Overall, our results suggest that recently passed legislation to reduce analysts' conflicts of interest might be an overreaction.

scholarly journals Market Reaction Analysis of Annual Report Award Announcement: An Event Study Using Abnormal Return, Trading Volume Activity, and Stock Price

2020 ◽  
Vol 4 (1) ◽  
pp. 340
Author(s):  
Fitri Astuti ◽  
Anggi Setya Prayoga
Keyword(s):  
Stock Prices ◽  
Stock Price ◽  
Abnormal Return ◽  
Trading Volume ◽  
Annual Report ◽  
Market Reaction ◽  
Abnormal Returns ◽  
Volume Activity ◽  
Event Window ◽  
Before And After

This study intends to examine the differences in market reaction around the announcement of the Annual Report Award which is not only measured by abnormal return but is also measured using trading volume activity and stock prices. The data used are quantitative data in the form of a list of companies that received the Annual Report Award for the 2015-2018 period, the daily closing price of the ARA-winning company in the event window, the composite stock price index, the number of shares traded, and the number of shares outstanding. The event window is selected for 11 days because the long window period will blend with the effects of other events or confounding effects. The results of the study concluded that the market reacted around the announcement of the Annual Report Award for the 2015-2018 period measured using abnormal returns, trading volume activity, and stock prices. There is no difference in abnormal returns before and after the announcement of the 2013-2016 Annual Report Award period. Instead there are differences in trading volume activity and stock prices before and after the announcement of the Annual Report Award for the 2015-2018 period.

scholarly journals The Effect of BI Rate’s Decrease Toward The Market Reaction in Indonesia Stock Exchange (IDX)

2016 ◽  
Vol 17 (2) ◽  
pp. 205
Author(s):  
Riwi Sumantyo ◽  
Devi Anggraeni
Keyword(s):  
Abnormal Return ◽  
Trading Volume ◽  
Market Reaction ◽  
Stock Exchange ◽  
Debt Crisis ◽  
Share Price ◽  
Paired Samples ◽  
Before And After ◽  
Event Date ◽  
Negative Sentiment

This research aims to analyze the market reaction that can be seen from the abnormal return and trading volume of activity against BI rate’s decrease announcement which is the lowest point in 2011. Research methods using paired samples t-test. Data used in this research include the date of announcement of the BI rate which is used as the event date (t0), daily closing share price of companies in a period of observation, LQ-45 index daily, the number of shares traded or daily volume, and the number of shares in circulation or listed share. This research uses 39 companies listed in the LQ 45 Index listed in BEI as samples. Result of this research is the absence of differences of Abnormal Return and Trading Volume of Activity before and after the announcement. The possibility of this situation was caused by the negative sentiment arising due to the debt crisis in Europe that there is never a solution so it affects the psychology of investors un decision-making.

scholarly journals The Power of Context in Networks: Ideal Point Models with Social Interactions

2019 ◽  
Author(s):  
Mohammad T. Irfan ◽  
Tucker Gordon
Keyword(s):  
Voting Behavior ◽  
Strategic Behavior ◽  
Ideal Point ◽  
Limited Attention ◽  
Point Model ◽  
Real World Data ◽  
Strategic Behaviors ◽  
Using Data ◽  
Political Spectrum ◽  
The Ideal

Game theory has been widely used for modeling strategic behaviors in networked multiagent systems. However, the context within which these strategic behaviors take place has received limited attention. We present a model of strategic behavior in networks that incorporates the behavioral context, focusing on the contextual aspects of congressional voting. One salient predictive model in political science is the ideal point model, which assigns each senator and each bill a number on the real line of political spectrum. We extend the classical ideal point model with network-structured interactions among senators. In contrast to the ideal point model's prediction of individual voting behavior, we predict joint voting behaviors in a game-theoretic fashion. The consideration of context allows our model to outperform previous models that solely focus on the networked interactions with no contextual parameters. We focus on two fundamental questions: learning the model using real-world data and computing stable outcomes of the model with a view to predicting joint voting behaviors and identifying most influential senators. We demonstrate the effectiveness of our model through experiments using data from the 114th U.S. Congress.

scholarly journals ANALISIS LIKUIDITAS SAHAM SEBELUM, SAAT DAN SESUDAH PENGUMUMAN STOCH SPLIT

2008 ◽  
Vol 8 (1) ◽  
pp. 129
Author(s):  
Agus Sucipto
Keyword(s):  
Stock Price ◽  
Trading Volume ◽  
Market Reaction ◽  
Volume Activity ◽  
Stock Trading ◽  
Stock Liquidity ◽  
Bid Ask Spread ◽  
Significant Difference ◽  
Stock Split ◽  
Before And After

<p class="Bodytext20">Stock split announcement is one of information type published by emitent that is used to know market reaction. When stock split announcement contains information, the market reacts that is shown by the changing of stock price. This study is intended to describe the effect of stock split announcement to market reaction using event study. This approach is used to identify the reaction of the market which is an activity of trading volume and bid-ask spread of stock used to know stock liquidity. The findings show that there is no significant difference between stock trading volume activity before, during and after stock split announcement. Whereas, the period of before and after the announcement, there is a significant difference of stock trading volume activity. The finding of bid-ask spread stock shows that there is a significant difference in the period of before and after stock split announcement. But there is no significant difference in the period of before and after stock split announcement.</p><p class="Bodytext20"> </p><p class="Bodytext20">Pengumuman pemecahan saham adalah salah satu jenis informasi yang diterbitkan oleh emiten yang digunakan untuk mengetahui reaksi pasar. Bila pengumuman pemecahan saham berisi informasi, pasar bereaksi yang ditunjukkan oleh perubahan harga saham. Penelitian ini bertujuan untuk mendeskripsikan efek pengumuman pemecahan saham terhadap reaksi pasar dengan menggunakan kajian peristiwa. Pendekatan ini digunakan untuk mengidentifikasi reaksi pasar yang merupakan aktivitas volume perdagangan dan pemecahan saham yang digunakan untuk mengetahui likuiditas saham. Temuan menunjukkan bahwa tidak ada perbedaan yang signifikan antara aktivitas volume perdagangan saham sebelum, selama dan setelah pengumuman pemecahan saham. Padahal, periode sebelum dan sesudah pengumuman, ada perbedaan yang signifikan dari aktivitas volume perdagangan saham. Temuan menunjukkan bahwa ada perbedaan yang signifikan pada periode sebelum dan sesudah pengumuman pemecahan saham. Namun tidak ada perbedaan yang signifikan pada periode sebelum dan sesudah pengumuman pemecahan saham.</p>

scholarly journals Reaksi Pasar terhadap Perpindahan Ibu Kota Negara Republik Indonesia

2020 ◽  
Vol 30 (11) ◽  
pp. 2795
Author(s):  
Dicky Wahyudi Rumaday ◽  
Maria Mediatrix Ratna Sari
Keyword(s):  
Abnormal Return ◽  
Trading Volume ◽  
Market Reaction ◽  
Capital City ◽  
Volume Activity ◽  
Analysis Technique ◽  
Average Abnormal Return ◽  
Before And After ◽  
Event Date ◽  
The Republic

This research is an event study that aims to determine the market reaction arising from the movement of the capital city of the Republic of Indonesia. The date chosen as the event date is April 29, 2019 when the issue first came out and August 26, 2019 when the official announcement. The samples used in this study are all companies included in the LQ45 index for the February-July 2019 and August 2019-January 2020 periods. The data analysis technique used is the different test. The results showed there were no differences in the average abnormal return before and after the issue first came out, but there were differences in the average abnormal return before and after the official announcement. There is a difference in the average trading volume activity before and after the issue first came out and when the official announcement of the move of the capital of the Republic of Indonesia. Keywords: Market Reaction; Abnormal Return; Trading Volume Activity; Capital Movement.

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