scholarly journals Feedback Effects, Asymmetric Trading, and the Limits to Arbitrage

2015 ◽  
Vol 105 (12) ◽  
pp. 3766-3797 ◽  
Author(s):  
Alex Edmans ◽  
Itay Goldstein ◽  
Wei Jiang

We analyze strategic speculators’ incentives to trade on information in a model where firm value is endogenous to trading, due to feedback from the financial market to corporate decisions. Trading reveals private information to managers and improves their real decisions, enhancing fundamental value. This feedback effect has an asymmetric effect on trading behavior: it increases (reduces) the profitability of buying (selling) on good (bad) news. This gives rise to an endogenous limit to arbitrage, whereby investors may refrain from trading on negative information. Thus, bad news is incorporated more slowly into prices than good news, potentially leading to overinvestment. (JEL D83, G12, G14)

2020 ◽  
Author(s):  
Qi Chen ◽  
Zeqiong Huang ◽  
Xu Jiang ◽  
Gaoqing Zhang ◽  
Yun Zhang

We examine the effects of asymmetric timeliness in reporting good versus bad news on price informativeness when prices provide useful information to assist firms’ investment decisions. We find that a reporting system featuring more timely disclosure of bad news than of good news encourages speculators to trade on their private information. Consequently, it generates a higher expected investment level and firm value. Our analysis generates predictions consistent with empirical findings and provides a justification for the more timely reporting of bad news in the absence of managerial incentive problems. This paper was accepted by Brian Bushee, accounting.


2017 ◽  
Vol 25 (17) ◽  
pp. 1183-1188 ◽  
Author(s):  
Qianwei Ying ◽  
Jinsong Liu
Keyword(s):  
Bad News ◽  

2016 ◽  
Vol 92 (1) ◽  
pp. 73-91 ◽  
Author(s):  
Michael Ebert ◽  
Dirk Simons ◽  
Jack D. Stecher

ABSTRACT We study a disclosure decision for a firm's manager with many sources of private information. The presence of multiple numerical signals provides the manager with an opportunity to hide information via aggregation, presenting net amounts in order to show information in its best light. We show that this ability to aggregate fundamentally changes the nature of voluntary disclosure, due to the market's inability to verify that a report is free of strategic aggregation. We find that, in equilibrium, the manager fully discloses if and only if the manager's private information makes the firm look sufficiently weak. By separating bad news from good news, a disaggregate report informs the market of as much offsetting news as possible, revealing how close the news is to a neutral benchmark. The result is, therefore, pooling at the top and separation at the bottom, the opposite of what transpires with a single news source. JEL Classifications: M41; D82; D83.


2020 ◽  
Vol 9 (3) ◽  
pp. 157
Author(s):  
JUITA HARYATI SIDADADOLOG ◽  
I WAYAN SUMARJAYA ◽  
NI KETUT TARI TASTRAWATI

Model APARCH is one of the asymmetric GARCH models. These models are able to capture the incidence of good news and bad news in the volatility. The APARCH model has an asymmetric coefficient to cope with leverage effect by modeling a leverage that has heteroscedasticity and asymmetric effect condition. The results of this research were obtained by the appropriate APARCH model. The model is the APARCH(1,2) model because all parameters are significant. Thus, proceeds from the volatility of stock return for the next 14 days with the model volatility APARCH(1,2) increased from period one to period fourteen.


2018 ◽  
Vol 34 (2) ◽  
pp. 339-354 ◽  
Author(s):  
Salma Zaiane

The aim of this paper is to study the impact of political uncertainty, driven by the Tunisian Revolution, on return and volatility of major sectorial stock indices in the Tunisian Stock Exchange. We specifically use EGARCH (1.1) model from 01/12/2010 to 31/08/2016. This model is applied to the daily returns relevant to ten sectorial stock indices and to the Tunisian benchmark index (TUNINDEX). To test the impact of political news on returns and volatility, we divided them into two groups (good and bad news). Our results show that both of good and bad news have increased the volatility of major selected indices, including the TUNINDEX. However, the return of all indices are not affected by the political news. We then examined the impact of terrorism on the behavior of indices return and volatility. Results show that the Tunisian market responds significantly to terrorist acts. Hence, the return declines and the volatility increase the day of terrorist attacks. Furthermore, results confirm that bad news have stronger effect on the volatility than good news, which reveal the asymmetric effect of volatility.


2011 ◽  
Vol 18 (1) ◽  
Author(s):  
Lynda S. Livingston

<p class="MsoNormal" style="text-align: justify; margin: 0in 40.3pt 0pt 0.5in; mso-pagination: none;"><span style="font-family: &quot;CG Times&quot;,&quot;serif&quot;; font-size: 10pt;">Investors often scrutinize stock trades by corporate insiders, hoping to infer the nature of any privileged information which may have motivated the trades. Conventional wisdom suggests that sales of stock by insiders reveal negative information; this interpretation is supported by empirical work such as the series of papers by Seyhun. However, this common interpretation fails to distinguish between sales by atomistic insiders and sales by controlling blockholders.<span style="mso-spacerun: yes;">&nbsp; </span>In this paper, I present evidence which suggests that sales by controlling insiders should not be considered bad news. Using both a series of logit regressions and traditional event-study tests, I examine the relationship between a firm's performance and the willingness of its controlling shareholder to sell a significant proportion of his shares. I find that firm value is just as likely to rise on the news of large insider sales as it is to fall, so that large sales need not imply negative private information.<span style="mso-spacerun: yes;">&nbsp; </span>One possible explanation for a positive response to a controlling blockholder's large sale is that such a sale makes the insider vulnerable to meaningful oversight by outside shareholders. Thus, a large sale may be a signal of the insider's willingness to expose himself to shareholder monitoring and discipline. However, regardless of the interpretation, the empirical evidence presented in the paper forces the conclusion that it is inappropriate to interpret all insider sales as bad news: insider sales occur in a variety of contexts, and creating buy/sell rules which ignore those contexts is simplistic and erroneous.</span></p>


2015 ◽  
Vol 4 (3) ◽  
pp. 141
Author(s):  
YOSEVA AGUNG PRIHANDINI ◽  
KOMANG DHARMAWAN ◽  
KARTIKA SARI

Good news and bad news (commonly known as the asymmetric effect) on the price of palm oil, has been the grounds of palm oil price volatility. Estimation of volatility needs to be conducted for the purposes of advance financial analysis namely computation of the risk factors, portfolio, futures, etc. In addition, the data of palm oil price is heterscedastical. The heteroscedasticity needs to be overcome in order to generate a sound estimation of volatility. One of the forecasting models for heteroscedastical data and that capable of explaining the good news and bad news over the commodity’s price is the Exponential Autoregressive Conditional Heterocedastic (EGARCH) model.The result of this research, the best of EGARCH models was EGARCH(1,1) with t-distribution. That base of AIC and SIC value.


2019 ◽  
Vol 95 (5) ◽  
pp. 279-298
Author(s):  
Yuanyuan Ma

ABSTRACT I study the information content of management voluntary disclosures disciplined by shareholder litigation. I model the litigation mechanism in which legal liabilities are based on the damages that shareholders suffer from buying a stock at an inflated price. I find that management does not fully reveal private information in equilibrium. Instead, their disclosures reveal only a range in which their private information lies. Thus, the precision of information is, to some extent, lost. Notably, increasing the severity of legal liability does not always reduce the loss of precision. In fact, when the legal liability reaches a certain level, more severe legal liability will result in less precise disclosures. I also find that good news and bad news have different precision. Specifically, good news is more precise than is bad news when legal liabilities are high, and bad news is more precise than is good news when legal liabilities are low.


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