scholarly journals EFFECTS OF THE PRE-REPURCHASE SYSTEMATIC RISK ON THE RELATIONSHIP BETWEEN INVESTOR BEHAVIOR, MARKET FACTORS AND THE STOCK PRICE RESPONSES

2018 ◽  
Vol 19 (4) ◽  
pp. 673-705
Author(s):  
Ying-Sing Liu
Keyword(s):  
Stock Price ◽  
Abnormal Returns ◽  
Investor Sentiment ◽  
Systematic Risk ◽  
Investor Behavior ◽  
Open Market ◽  
Short Term ◽  
Price Response ◽  
Market Factors ◽  
The Relationship

This study explores the pre-repurchase systematic risk will affect the abnormal returns in the open-market repurchase event period and also change the relationship between the investor sentiment, trading activity, market factors and stock price response during the event on Taiwan stock market. Based on threshold regression models, it is found that the pre-repurchase systematic risk will significantly change the relationship between investor behavior, market factors and stock price responses and the asymmetry of the relationship exists when pre-repurchase systematic risk is lower than a repartition, which supports that institutional investors and credit trading investors differ in these existing relationships. When the pre-repurchase beta is below repartition, it will be detrimental to the returns in event period. But on the contrary, the returns in the short-term shock of news exposure period present the favorable results, which may be related to the fact that there exists sentiment premium in short-term when credit trading investors’ repurchase news exposure occurs. Finally, the study is to confirm the effect of systematic risk for returns and investor sentiment, these results have not been further explored in the past, and can be used as the firm’s evalu-ation reference to the repurchase program in the future.

The Effect of Acquirer Net Operating Losses on Acquisition Premiums and Acquirer Abnormal Returns

2019 ◽  
Vol 41 (2) ◽  
pp. 103-124
Author(s):  
Merle M. Erickson ◽  
Karen Ton ◽  
Shiing-wu Wang
Keyword(s):  
Stock Price ◽  
Abnormal Returns ◽  
Price Response ◽  
Transaction Prices ◽  
Merger Announcement ◽  
Tax Benefits

ABSTRACT This study examines whether acquirer NOL-related tax benefits generated in an acquisition are shared with the target. For a sample of 1,959 acquisitions, we find that acquisitions of profitable targets by acquirers with NOLs are associated with higher acquisition premiums than acquisitions by non-NOL acquirers. This result indicates that potential post-acquisition tax benefits from use of acquirer NOLs are shared with the target in the form of higher transaction prices. We also find that the acquirer's merger announcement stock price response is positively associated with these tax benefits, which is consistent with the conclusion that acquirers retain part of these potential tax benefits.

scholarly journals Systematic illiquidity, characteristic illiquidity, and stock returns: Timeseries analysis

2022 ◽  
Vol 9 (2) ◽  
pp. 72-80
Author(s):  
Soltane et al. ◽  
Keyword(s):  
Emerging Markets ◽  
Stock Returns ◽  
Stock Prices ◽  
Stock Price ◽  
Stock Exchange ◽  
Systematic Risk ◽  
Timeseries Analysis ◽  
The Relationship

The objective of this research is to investigate the relationship between illiquidity and stock prices on the Tunisian stock exchange. While previous researches tended to focus on one form of illiquidity to examine this relationship, our study unifies three forms of illiquidity at the same time. Indeed, we simultaneously consider illiquidity as systematic risk, as a characteristic of the market, and as a characteristic of the stock. The aggregate illiquidity of the market is the average of individual stock illiquidity. The illiquidity risk is the sensitivity of the stock price to illiquidity shocks. Shocks of market illiquidity are estimated by the innovations in the expected market illiquidity. Results show that investors on the Tunisian stock exchange do not require higher returns when they expect a rise of market illiquidity, whereas investors on U.S markets are compensated for higher expected market illiquidity. In addition, shocks of market illiquidity provoke a fall in stock prices of small caps, while large caps are not sensitive to market illiquidity shocks. This differs slightly from results based on U.S. data where illiquidity shocks reduce all stock prices but most notably those of small caps. Robustness tests validate our findings. Our results are consistent with previous studies which reported that the “zero-return” ratio predicts significantly the return-illiquidity relationship on emerging markets.

scholarly journals A Study of Multi-Scale Relationship Between Investor Sentiment and Stock Index Fluctuation Based on the Analysis of BEMD Spillover Index

2021 ◽  
Vol 9 (4) ◽  
pp. 399-420
Author(s):  
Weiguo Chen ◽  
Shufen Zhou ◽  
Yin Zhang ◽  
Yi Sun
Keyword(s):  
Stock Price ◽  
Composite Index ◽  
Investor Sentiment ◽  
Stock Index ◽  
Financial Industry ◽  
Medium Term ◽  
Short Term ◽  
Frequency Components ◽  
Original Scale

Abstract According to behavioral finance theory, investor sentiment generally exists in investors’ trading activities and influences financial market. In order to investigate the interaction between investor sentiment and stock market as well as financial industry, this study decomposed investor sentiment, stock price index and SWS index of financial industry into IMF components at different scales by using BEMD algorithm. Moreover, the fluctuation characteristics of time series at different time scales were extracted, and the IMF components were reconstructed into short-term high-frequency components, medium-term important event low-frequency components and long-term trend components. The short-term interaction between investor sentiment and Shanghai Composite Index, Shenzhen Component Index and financial industries represented by SWS index was investigated based on the spillover index. The time difference correlation coefficient was employed to determine the medium-term and long-term correlation among variables. Results demonstrate that investor sentiment has a strong correlation with Shanghai Composite Index, Shenzhen Component Index and different financial industries represented by SWS index at the original scale, and the change of investor sentiment is mainly influenced by external market information. The interaction between most markets at the short-term scale is weaker than that at the original scale. Investor sentiment is more significantly correlated with SWS Bond, SWS Diversified Finance and Shanghai Composite Index at the long-term scale than that at the medium-term scale.

IMMEDIATE AND LONGER-TERM STOCK PRICE DYNAMICS FOLLOWING LARGE STOCK PRICE CHANGES

2020 ◽  
Vol 15 (01) ◽  
pp. 2050002
Author(s):  
ANDREY KUDRYAVTSEV
Keyword(s):  
Stock Returns ◽  
Stock Price ◽  
Trading Volume ◽  
Abnormal Returns ◽  
Market Model ◽  
Conditional Volatility ◽  
Short Term ◽  
Price Increases ◽  
Cumulative Abnormal Returns ◽  
Price Reversal

The study explores the correlation between the immediate and the longer-term stock returns following large daily price moves. Following the previous literature, which documents a tendency for price reversals after initial large price moves, I suggest that if a large stock price move is immediately followed by a short-term price drift, then it may indicate that the company-specific shock is more completely incorporated in the stock price, significantly increasing the probability of subsequent longer-term price reversal. Analyzing a vast sample of large stock price moves, I document that negative (positive) longer-term stock price reversals after large price increases (decreases) are significantly more pronounced if the latter are immediately followed by relatively high (low) short-term cumulative abnormal returns, that is, by short-term price drifts. The effect remains significant after accounting for additional company-specific (size, market model beta, historical, or conditional volatility) and event-specific (stock’s return and trading volume on the event day) factors.

scholarly journals Stock price response to earnings announcements: Developed versus emerging economies

2018 ◽  
Vol 15 (4) ◽  
pp. 29-45 ◽  
Author(s):  
Ahmed M. Al-Baidhani
Keyword(s):  
Stock Price ◽  
Value Relevance ◽  
Price Change ◽  
Explanatory Power ◽  
Abnormal Returns ◽  
Relevance Theory ◽  
Individual Event ◽  
Price Changes ◽  
Price Response ◽  
Earnings Response Coefficient

This study aims to evaluate the usefulness and relevance of accounting earnings disclosures, as the key determinant of stock price changes. The main objective is to examine whether earnings response coefficient (ERC) behaviour could explain more fully the stock price changes, as to the reason why the stock price change is not equal to the number of announced earnings. The study is done with data sets from five countries of the Organization for Economic Co-operation and Development (OECD) group and Malaysia. The analysis is then grouped into developed markets: Japan, UK, Sweden, and Switzerland; and emerging markets: Malaysia and Mexico, for the period 2001-2014. Two measures of abnormal returns are regressed against the size of the announced earnings. The first regression uses measures from individual events. The second regression uses a new measure; that is, from portfolios made out of all observations sorted by size of earnings into ten portfolios for each country and combination of countries. The portfolio method used was aimed at controlling possible idiosyncratic-errors-in-variables problem using individual event measures. The results using individual-event measures resulted in reasonable ERC sizes with high R2 explanatory power, a little higher than those reported in prior studies on other countries. Importantly, portfolio-based ERC is very close to the magnitude of the earnings in some tests, which supports the famous value relevance theory in accounting. This finding is new to this literature.

scholarly journals Do Higher-Rated or Enhancing ESG of Firms Enhance Their Long–Term Sustainability? Evidence from Market Returns in Korea

2020 ◽  
Vol 12 (7) ◽  
pp. 2664 ◽  
Author(s):  
Yeonwoo Do ◽  
Sunghwan Kim
Keyword(s):  
Stock Market ◽  
Firm Value ◽  
Stock Price ◽  
Abnormal Returns ◽  
Market Returns ◽  
Short Term ◽  
Stock Market Returns ◽  
Listed Firms ◽  
The Third

In this study, we investigate the effects of the level and changes in environmental, social and corporate governance (ESG) rating, an index developed to represent a firm’s long-term sustainability, on the stock market returns of Korea Composite Stock Price Index (KOSPI) listed firms over the period 2011–2018. We find that the changes in ESG ratings have statistically significant short-term effects on their abnormal returns. However, their impacts on short-term abnormal returns decrease some days after the disclosure and become negative in the third year. The results imply that investors in the Korean stock market do not view corporate social responsibility activities as a means of supporting their long-term sustainability, judging from the firm value for a long period after their rating. Rather, based on the effects of the changes on coefficient signs over the period—positive in the year and the year after, no effects in the following year, and negative in the third year and later—we can infer that the short-term oriented market sentiments of investors might worsen their long-term stock performances, thus deteriorating their sustainability and growth opportunities.

scholarly journals Influence of Bloomberg’s Investor Sentiment Index: Evidence from European Union Financial Sector

Mathematics ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 297
Author(s):  
Mariano González-Sánchez ◽  
M. Encina Morales de Vega
Keyword(s):  
European Union ◽  
Financial Services ◽  
Abnormal Returns ◽  
Investor Sentiment ◽  
Daily Basis ◽  
Investor Behavior ◽  
Pricing Model ◽  
Asset Pricing Model ◽  
Type Process ◽  
Standardized Residuals

A part of the financial literature has attempted to explain idiosyncratic asset shocks through investor behavior in response to company news and events. As a result, there has been an increase in the development of different investor sentiment measurements. This paper analyses whether the Bloomberg investor sentiment index has a causal relationship with the abnormal returns and volume shocks of major European Union (EU) financial companies through a sample of 85 financial institutions over 4 years (2014–2018) on a daily basis. The i.i.d. shocks are obtained from a factorial asset pricing model and ARMA-GARCH-type process; then we checked whether there is both individual and joint causality between the standardized residuals. The results show that the explanatory capacity of the shocks of the firm Bloomberg sentiment index is low, although there is empirical evidence that the effects correspond more to the situation of the financial subsector (banks, real estate, financial services and insurance) than to the company itself, with which we conclude that the sentiment index analyzed reflects a sectorial effect more than individual one.

scholarly journals How to gauge investor behavior? A comparison of online investor sentiment measures

2021 ◽  
Author(s):  
Daniele Ballinari ◽  
Simon Behrendt
Keyword(s):  
Machine Learning ◽  
Abnormal Returns ◽  
Investor Sentiment ◽  
Investor Behavior ◽  
Learning Approaches ◽  
Financial Applications ◽  
Model Free ◽  
Retail Investors ◽  
Regression Framework ◽  
Social Media Platforms

AbstractGiven the increasing interest in and the growing number of publicly available methods to estimate investor sentiment from social media platforms, researchers and practitioners alike are facing one crucial question – which is best to gauge investor sentiment? We compare the performance of daily investor sentiment measures estimated from Twitter and StockTwits short messages by publicly available dictionary and machine learning based methods for a large sample of stocks. To determine their relevance for financial applications, these investor sentiment measures are compared by their effects on the cross-section of stocks (i) within a Fama and MacBeth (J Polit Econ 81:607–636, 1973) regression framework applied to a measure of retail investors’ order imbalances and (ii) by their ability to forecast abnormal returns in a model-free portfolio sorting exercise. Interestingly, we find that investor sentiment measures based on finance-specific dictionaries do not only have a greater impact on retail investors’ order imbalances than measures based on machine learning approaches, but also perform very well compared to the latter in our asset pricing application.

Do Indian Companies Manage Earnings Before Share Repurchase?

2019 ◽  
Vol 21 (6) ◽  
pp. 1427-1447
Author(s):  
Sarthak Kumar Jena ◽  
Chandra Sekhar Mishra ◽  
Prabina Rajib
Keyword(s):  
Market Share ◽  
Abnormal Return ◽  
Negative Relationship ◽  
Small Sample ◽  
Share Repurchase ◽  
Open Market ◽  
Short Term ◽  
The Impact ◽  
The Relationship

This article aims to detect the opportunistic EM before share buyback and its impact on the short-term and long-term abnormal return. The study also examines the relationship between EM and promoters’ holdings in the company. A sample of 117 companies over 1998–2013 is analyzed in the study. The quality of earnings is measured using discretionary accruals (DAs), and it is calculated by four different methods, that is, the Healy model (1985), DeAngelo model (1986), modified Jones model (1995) and performance-matched model (2005). Cumulative abnormal return (CAR) is calculated for a short-term abnormal return at around 3 days of the share repurchase announcement. Post-buyback buy hold abnormal return (BHAR) for 1 year is calculated for long-term performance. The regression model is used to examine the impact of DA on both CAR and BHAR. The findings of the article show that share buyback companies manage their earnings downward in the previous year of share repurchase than the year of share purchase and the next year of share repurchase. The sample firms deflate their earnings more as compared to matching non-buyback firms. Firms manage their earnings downward before open market share repurchase than the tender offer. There is a significant and negative relationship between abnormal accruals and 1-year buy hold abnormal return post-open market share repurchase. The study further observed that there is a negative relationship between promoters’ holdings and EM. The study is constrained by the small sample size, so the results should be viewed by keeping these limitations in mind. The article is the first study on the detection of the opportunistic EM before buyback and examination of the relationship between the earnings quality and abnormal return in the Indian context.

scholarly journals The Relationship between Technology Life Cycle and Korean Stock Market Performance

2018 ◽  
Vol 6 (4) ◽  
pp. 88
Author(s):  
BokHyun Lee
Keyword(s):  
Life Cycle ◽  
Augmented Reality ◽  
Stock Returns ◽  
Stock Price ◽  
Abnormal Returns ◽  
Cumulative Abnormal Returns ◽  
Stock Market Performance ◽  
Technology Life Cycle ◽  
The Relationship ◽  
A Company

Through the three industrial revolutions, technology has enabled rapid changes in society. In a capitalist society, capital is invested where there is utility, for example, economic benefit. We intend to determine that the stock price of a company that uses a particular technology will change with the life cycle of the technology in question. Specifically, we filtered companies that mainly deal with augmented reality and are listed in Korea’s KOSDAQ market. We grouped these companies based on detailed technologies that constitute augmented reality. We used the event study method to calculate the stock returns against a benchmark. As a result, in the “Peak of Inflated Expectations” stage, the portfolios of all companies using augmented reality generally show higher returns than the benchmark. However, it is difficult to ascertain whether a return generated based on one of the detailed technologies that make up augmented reality is higher or lower than that of the benchmark. During the “Trough of Disillusionment” phase, there was neither a consistent trend of cumulative abnormal returns (CAR) nor buy-and-hold abnormal returns (BHAR). However, during this stage, there was a positive correlation of average BHAR and average abnormal returns between the entire sample’s portfolio and each detailed technology firm’s portfolio.

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