Inflation's negative effects on real stock prices: new evidence and a test of the proxy effect hypothesis

1993 ◽  
Vol 25 (2) ◽  
pp. 263-274 ◽  
Author(s):  
Steven J. Cochran ◽  
Robert H. Defina
2014 ◽  
Vol 50 (2) ◽  
pp. 5-15 ◽  
Author(s):  
Paresh Kumar Narayan ◽  
Seema Narayan ◽  
Harminder Singh

2003 ◽  
Vol 27 (4) ◽  
pp. 673-697 ◽  
Author(s):  
Maosen Zhong ◽  
Ali F. Darrat ◽  
Dwight C. Anderson

2016 ◽  
Vol 26 (2) ◽  
pp. 169-174 ◽  
Author(s):  
Martha A Starr ◽  
Keith Drake

BackgroundIn 2010, the US Food and Drug Administration (FDA) proposed requiring tobacco companies to add graphic warning labels (GWLs) to cigarette packs. GWLs are large prominently placed warnings that use both text and photographic images to depict health risks of smoking. The companies challenged FDA's authority on First Amendment grounds; the courts accepted that FDA could compel companies to add GWLs, but argued that FDA had not established that GWLs would significantly reduce smoking.ObjectiveThis paper adds new evidence on the question of whether GWLs would have reduced cigarette demand, by examining whether tobacco companies’ share prices fell unusually after news indicating a higher likelihood of having GWLs, and rose on the opposite news. Such findings would be expected if investors viewed GWLs as likely to reduce cigarette demand.MethodsAn event-study approach is used to determine whether the stock prices of US tobacco companies rose or fell unusually after news events in the period when GWLs were proposed, finalised, challenged and withdrawn.FindingsTobacco companies’ stock prices indeed realised significant abnormal returns after GWL news, consistent with expected negative effects on cigarette demand. Our estimates suggest investors expected GWLs to reduce the number of smokers by an extra 2.4–6.9 million in the 10 years after the rule took effect.ConclusionsThese findings support the view that the GWLs proposed by FDA would have curbed cigarette consumption in the USA in an appreciable way.


2009 ◽  
Vol 45 (1) ◽  
pp. 239-264 ◽  
Author(s):  
Joseph Golec ◽  
Shantaram Hegde ◽  
John A. Vernon

AbstractDo threats of pharmaceutical price regulation affect subsequent research and development (R&D) spending? This study uses the Clinton administration’s Health Security Act (HSA) of 1993 as a natural experiment to study this issue. We link events surrounding the HSA to pharmaceutical stock price changes and then examine the cross-sectional relation between firms’ stock price changes and their subsequent unexpected R&D spending changes. Results show that the HSA had significant negative effects on stock prices and firm-level R&D spending. Conservatively, the HSA reduced R&D spending by about $1 billion even though it never became law.


2019 ◽  
Vol 120 (2) ◽  
pp. 350-365 ◽  
Author(s):  
Ying Liu ◽  
Geng Peng ◽  
Lanyi Hu ◽  
Jichang Dong ◽  
Qingqing Zhang

Purpose With the ascendance of information technology, particularly through the internet, external information sources and their impacts can be readily transferred to influence the performance of financial markets within a short period of time. The purpose of this paper is to investigate how incidents affect stock prices and volatility using vector error correction and autoregressive-generalized auto regressive conditional Heteroskedasticity models, respectively. Design/methodology/approach To characterize the investors’ responses to incidents, the authors introduce indices derived using search volumes from Google Trends and the Baidu Index. Findings The empirical results indicate that an outbreak of disasters can increase volatility temporarily, and exert significant negative effects on stock prices in a relatively long time. In addition, indices derived from different search engines show differentiation, with the Google Trends search index mainly representing international investors and appearing more significant and persistent. Originality/value This study contributes to the existing literature by incorporating open-source data to analyze how catastrophic events affect financial markets and effect persistence.


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