scholarly journals Quarterly Earnings Announcement Effect on Stock Return and Trading Volume in Nepal

2019 ◽  
Vol 4 ◽  
pp. 32-47
Author(s):  
Jeetendra Dangol ◽  
Ajay Bhandari
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Trading Volume ◽  
Earnings Announcements ◽  
Good News ◽  
Fiscal Year ◽  
Event Analysis ◽  
Earnings Announcement ◽  
Quarterly Earnings ◽  
Analysis Methodology

The study examines the stock returns and trading volume reaction to quarterly earnings announcements using the event analysis methodology. Ten commercial banks with 313 earnings announcements are considered between the fiscal year 2010/11 and 2017/18. The observations are portioned into 225 earning-increased (good-news) sub-samples and 88 earning-decreased (bad-news) sub-samples. This paper finds that the Nepalese stock market is inefficient at a semi-strong level, but there is a strong linkage between quarterly earnings announcement and trading volume. Similarly, the study provides evidence of existence of information content hypothesis in the Nepalese stock market.

Investor Sophistication and Patterns in Stock Returns after Earnings Announcements

2000 ◽  
Vol 75 (1) ◽  
pp. 43-63 ◽  
Author(s):  
Eli Bartov ◽  
Suresh Radhakrishnan ◽  
Itzhak Krinsky
Keyword(s):  
Stock Returns ◽  
Stock Price ◽  
Trading Volume ◽  
Explanatory Variable ◽  
Earnings Announcements ◽  
Abnormal Returns ◽  
Institutional Ownership ◽  
Quarterly Earnings ◽  
Institutional Holdings ◽  
Investor Sophistication

This study tests whether the observed patterns in stock returns after quarterly earnings announcements are related to the proportion of firm shares held by institutional investors, a variable used by prior research to proxy for investor sophistication. Our findings show that the institutional holdings variable is negatively correlated with the observed post-announcement abnormal returns. Our findings also show that traditional proxies for transaction costs (i.e., trading volume, stock price) as well as firm size have little incremental power to explain post-announcement abnormal returns when institutional holdings is an explanatory variable. If institutional ownership is a valid proxy for investor sophistication, these findings suggest that the trading activity of unsophisticated investors underlies the predictability of stock returns after earnings announcements. However, tests evaluating the validity of institutional holdings as a proxy for investor sophistication yield only mixed results. This calls for caution in interpreting our findings.

The Effect of Reporting Streaks on Ex Ante Uncertainty

2020 ◽  
Vol 66 (8) ◽  
pp. 3771-3787 ◽  
Author(s):  
Thaddeus Neururer ◽  
George Papadakis ◽  
Edward J. Riedl
Keyword(s):  
Stock Returns ◽  
Earnings Announcements ◽  
Earnings Announcement ◽  
Risk Premiums ◽  
Quarterly Earnings ◽  
Earnings Per Share ◽  
Ex Ante ◽  
Variance Risk ◽  
Analyst Earnings ◽  
Lower Uncertainty

This paper predicts and finds that investor uncertainty surrounding a key information release event—the earnings announcement—is decreasing in a firm’s reporting streak. We use two proxies related to investor ex ante uncertainty and corresponding pricing of such uncertainty: option-implied volatilities and variance risk premiums; both are measured with maturities surrounding the impending quarterly earnings announcement. Consistent with prior research, we measure reporting streak as the number of consecutive quarters the firm meets or beats the consensus analyst earnings-per-share forecast. Empirical results confirm expectations that the two uncertainty-related constructs are decreasing in the length of the reporting streak. These results, combined with further evidence documenting that lower uncertainty leads to lower stock returns surrounding the earnings announcements, suggest that longer reporting streaks reflect lower risk during earnings announcements. This paper was accepted by Shiva Rajgopal, accounting.

Institutional Holdings and Trading Volume Reactions to Quarterly Earnings Announcements

1997 ◽  
Vol 12 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Jeong-Bon Kim ◽  
Itzhak Krinsky ◽  
Jason Lee
Keyword(s):  
Trading Volume ◽  
Earnings Announcements ◽  
Institutional Ownership ◽  
Positive Relation ◽  
Earnings Announcement ◽  
Quarterly Earnings ◽  
Price Reaction ◽  
Institutional Holdings ◽  
Abnormal Trading Volume

This paper empirically examines the incremental relation between trading volume surrounding quarterly earnings announcements and institutional holdings. Consistent with Cready (1988) and Lee (1992), we find a significant positive relation between abnormal trading volume and the fraction of institutional ownership during the period immediately following an earnings announcement, after controlling for the magnitude of the associated price reaction and the dispersion of analysts' EPS forecasts. The results are robust to various measures of abnormal trading volume. Our findings suggest that newly released information does not necessarily have the same value to heterogeneous investor types and support Lev's (1988) emphasis on the importance of focusing on investor classes.

Can Twitter Help Predict Firm-Level Earnings and Stock Returns?

2017 ◽  
Vol 93 (3) ◽  
pp. 25-57 ◽  
Author(s):  
Eli Bartov ◽  
Lucile Faurel ◽  
Partha S. Mohanram
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Future Prospects ◽  
Traditional Media ◽  
Stock Trading ◽  
Firm Level ◽  
Quarterly Earnings ◽  
Announcement Returns ◽  
Twitter Activity ◽  
Original Information

ABSTRACT Prior research has examined how companies exploit Twitter in communicating with investors, and whether Twitter activity predicts the stock market as a whole. We test whether opinions of individuals tweeted just prior to a firm's earnings announcement predict its earnings and announcement returns. Using a broad sample from 2009 to 2012, we find that the aggregate opinion from individual tweets successfully predicts a firm's forthcoming quarterly earnings and announcement returns. These results hold for tweets that convey original information, as well as tweets that disseminate existing information, and are stronger for tweets providing information directly related to firm fundamentals and stock trading. Importantly, our results hold even after controlling for concurrent information or opinion from traditional media sources, and are stronger for firms in weaker information environments. Our findings highlight the importance of considering the aggregate opinion from individual tweets when assessing a stock's future prospects and value.

scholarly journals Measuring The Usefulness Of Information For Investors Inferences: The Case Of Quarterly Earnings Announcements

2010 ◽  
Vol 8 (7) ◽  
Author(s):  
C. Catherine Chiang ◽  
Yaw M. Mensah
Keyword(s):  
Financial Performance ◽  
Stock Price ◽  
Value Of Information ◽  
Earnings Announcements ◽  
New Method ◽  
Rates Of Return ◽  
Earnings Announcement ◽  
Quarterly Earnings ◽  
Other Information

In this paper, we propose a new method for assessing the usefulness of information, its inferential value. In the context of accounting and finance, we define the inferential value of information about a firm as how efficaciously the information enables investors to draw correct inferences regarding its future financial performance. On the basis of this definition, we develop a stylized model to measure the proximity of a firm’s future realized rates of return to the estimated rates of return implied by its current stock price. We then use the new measure to test the hypothesis that quarterly earnings announcements have a higher inferential value than other information arriving during interim (non-earnings announcement) periods. Our empirical findings suggest that investors are able to make more informative inferences about a firm’s future profitability based on quarterly earnings announcement than based on information available during interim periods. However, our findings also suggest that, in general, investors do not correctly anticipate future losses. Finally, we find that earnings announcements are as important in anticipating future profitability for larger firms as they are for smaller firms.

scholarly journals EARNINGS ANNOUNCEMENTS AND COMPETING INFORMATION: THE INDONESIAN EVIDENCE

2015 ◽  
Vol 29 (1) ◽  
Author(s):  
Dedhy Sulistiawan ◽  
Jogiyanto Hartono ◽  
Eduardus Tandelilin ◽  
Supriyadi Supriyadi
Keyword(s):  
Stock Market ◽  
Empirical Evidence ◽  
Earnings Announcements ◽  
Negative Relationship ◽  
Technical Analysis ◽  
Earnings Announcement ◽  
Price Reaction ◽  
Price Reactions ◽  
The Relationship ◽  
The U.S

The main purpose of this study is to provide empirical evidence of the relationship betweeninvestors’ responses to two events, which are, (1) earnings anouncements, and (2) technicalanalysis signals, as competing information. This study is motivated by Francis, et al. (2002),whose study used stock analyst’s recommendations as competing information in the U.S stockmarket. To extend that idea, this study uses technical analysis signals as competing informationin the Indonesian stock market. Using Indonesian data from 2007-2012, this study shows thatthere are price reactions on the day of a technical analysis signal’s release, which is prior toearnings announcements. It means that investors react to the emergence of competinginformation. Reactions on earnings announcements also produce a negative relationship withthe reaction to a technical analysis signal before an earnings announcement. This study givesevidence about the importance of technical analysis as competing information to earningsannouncements.Keywords: competing information, earnings announcements, technical analysis, price reaction

scholarly journals The dynamic relationship between stock returns and trading volumes in Nepalese stock market

2020 ◽  
Vol 23 (2) ◽  
pp. 161-172
Author(s):  
Prem Lal Adhikari
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Trading Volume ◽  
Time Series Data ◽  
Stock Exchange ◽  
Causal Effect ◽  
Empirical Relationship ◽  
Insurance Companies ◽  
Series Data ◽  
Dynamic Relationship

 In finance, the relationship between stock returns and trading volume has been the subject of extensive research over the past years. The main motivation for these studies is the central role that trading volume plays in the pricing of financial assets when new information comes in. As being interrelated and interdependent subjects, a study regarding the trading volume and stock returns seem to be vital. It is a well-researched area in developed markets. However, very few pieces of literature are available regarding the Nepalese stock market that explores the association between trading volume and stock return. Realizing this fact, this paper aims to examine the empirical relationship between trading volume and stock returns in the Nepalese stock market using time series data. The study sample is comprised of 49 stocks traded on the Nepal Stock Exchange (NEPSE) from mid-July 2011 to mid-July 2018. This study examines the Granger Causality relationship between stock returns and trading volume using the bivariate VAR model used by de Medeiros and Van Doornik (2008). The study found that the overall Nepalese stock market does not have a causal relationship between trading volume and return on the stock. In the case of sector-wise study, there is a unidirectional causality running from trading volume to stock returns in commercial banks and stock returns to trading volume in finance companies, hydropower companies, and insurance companies. There is no indication of any causal effect in the development bank, hotel, and other sectors. This study also finds that there is no evidence of bidirectional causality relationships in any sector of the Nepalese stock market.

Short-Selling and Behavioral Bias in Korean Stock Market

2017 ◽  
Vol 25 (2) ◽  
pp. 255-278
Author(s):  
Sang Buhm Hahn
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Trading Volume ◽  
Cloud Cover ◽  
Short Selling ◽  
Weather Factors ◽  
Behavioral Bias ◽  
Short Sale ◽  
Sunshine Hours ◽  
Sale Volume

This study investigates whether or not the short-selling behavioral bias of investors exists in the Korean stock market. We analyze how the weather bias related to climate factors affects short-selling traders, commonly known as informed traders. To do this we estimated the dynamic panel model using daily data and examined the relationship between market variables such as stock returns, short sale volume, non-short sale volume, total trading volume, and weather variables consisting of cloud cover and sunshine hours. This study shows that not only returns but also short selling volumes are all affected by weather factors. In the case of stock returns, both cloud cover and sunshine hours have a statistically significant impact on returns, and its sign is estimated to be inversely proportional to both factors. That is, we find that returns decrease on cloud days, but increase on sunny days. In terms of the trading behavior of the market participants, it is interesting to note that the trading volume decreases when the weather is blunted, But did not show any statistical significances. On the other hand, both the original and the seasonally adjusted weather factors of cloud cover have a statistically significant positive effect on the short-sale volume. This means that as the weather worsens, short-selling traders submit more orders, indicating the presence of behavioral bias.

The linear and non-linear dependence of stock returns and trading volume in the Finnish stock market

1994 ◽  
Vol 4 (2) ◽  
pp. 159-169 ◽  
Author(s):  
Teppo Martikainen ◽  
Vesa Puttonen ◽  
Martti Luoma ◽  
Timo Rothovius
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
Linear Dependence ◽  
Trading Volume ◽  
Non Linear
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