scholarly journals How Inductive and Deductive Generalization Shape the Guilt-by-Association Phenomenon Among Firms: Theory and Evidence

2021 ◽  
Author(s):  
Ivana Naumovska ◽  
Edward J. Zajac

This study advances and tests the notion that the phenomenon of guilt by association-- whereby innocent organizations are penalized due to their similarity to offending organizations-- is shaped by two distinct forms of generalization. We analyze how and why evaluators’ interpretative process following instances of corporate misconduct will likely include not only inductive generalization (rooted in similarity judgments and prototype-based categorization) but also deductive generalizing (rooted in evaluators’ theories and causal-based categorization). We highlight the role and relevance of this neglected distinction by extending guilt-by-association predictions to include two unique predictions based on deductive generalization. First, we posit a recipient effect: if an innocent organization falls under a negative stereotype that causally links the innocent firm with corporate misconduct, then that innocent firm will suffer a greater negative spillover effect, irrespective of its similarity to the offending firm. Second, we also posit a transmission effect: if the offending firm falls under the same negative stereotype, then the negative spillover effect to other similar firms will be lessened. We also analyze how media discourse can foster negative stereotypes, and thus amplify these two effects. We find support for our hypotheses in an analysis of stock market reactions to corporate misconduct for all U.S. and international firms using reverse mergers to gain publicly traded status in the United States. We discuss the implications of our theoretical perspective and empirical findings for research on corporate misconduct, guilt by association, and stock market prejudice.

2020 ◽  
Vol 11 ◽  
Author(s):  
Nader H. Hakim ◽  
Xian Zhao ◽  
Natasha Bharj

Tolerant discourse in the United States has responded to heightened stereotyping of Muslims as violent by countering that “not all Muslims are terrorists.” This subtyping of Muslims—as some radical terrorists among mostly peaceful “moderates”—is meant to protect a positive image of the group but leaves the original negative stereotype unchanged. We predicted that such discourse may paradoxically increase people’s support of anti-Muslim policies because the subtyping and its associated negative stereotypes justify hostile actions toward Muslims. In Study 1, subtyping predicted support for three anti-Muslim policies, but only among political moderates and conservatives. In Study 2, participants who were exposed to subtyping narratives expressed greater support for surveillance of Muslims in the United States. The effect of subtyping narrative exposure was stronger on support for hawkish anti-terror policy when participants’ preexisting endorsement of subtyping was low. Irrespective of the well-meaning intentions of peaceful vs. radical subtyping, its expression can justify ongoing “War on Terror” policies. As the population of Muslims increases in North America, the intuition that most Muslims do not meet the negative stereotype may ironically reduce inclusion.


2016 ◽  
Vol 12 (2) ◽  
pp. 249-257 ◽  
Author(s):  
Michael N. Young

Although McCarthy, Dolfsma, and Weitzel (2016) cover much ground in their study, in this commentary I focus on alternative explanations for the empirical results indicating that Chinese acquirers outperformed acquirers from other countries – particularly acquirers from the United States. First, based on research I have done with colleagues (e.g., Chen & Young, 2010; Young & McGuinness, 2001) and that of a doctoral student (Tang, 2016), I suggest that comparison of Chinese stock market reactions to merger announcements with stock market reactions to merger announcements from more mature markets, such as the United States, may create some misleading results. The Event Study Method (ESM) used in this study is a measure of investors’ short-term reactions to unanticipated events and it assumes that investors are capable of accurately evaluating such events (MacKinlay, 1997; McWilliams & Siegel, 1997). I suggest that, given the relative newness of Chinese stock markets, Chinese investors may have reacted more positively to merger announcements regardless of the mergers’ prospects for success. Second, similar to Shapiro and Li (2016), I suggest that stages of industry and organizational development better explain the actual motivation and success of Chinese acquirers than does a general theory of culture or corporate governance traditions.


2020 ◽  
Vol 31 (8) ◽  
pp. 1416-1447 ◽  
Author(s):  
Xie He ◽  
Tetsuya Takiguchi ◽  
Tadahiro Nakajima ◽  
Shigeyuki Hamori

This study investigates the time–frequency dynamics of return and volatility spillovers between the stock market and three commodity markets: natural gas, crude oil, and gold via a comparative analysis between the United States and China is conducted with the help of new empirical methods. Our findings are as follows. First, in terms of time, return spillovers between crude oil and the stock market are strongest in two of the three commodity markets. Crude oil emits a net negative return spillover to the US stock market, and a net positive return spillover to the Chinese stock market. By contrast, the strongest volatility spillover effect is transmitted to the stock markets of both countries through gold. However, gold has a net positive volatility spillover effect on the US stock market and a net negative effect on the Chinese stock market. In the frequency domain, most of the return spillover is produced in the short term, and most of the volatility spillover occurs in the long term. In addition, the moving-window method reveals the dynamic nature of the spillover effect. Some extreme events can have a dramatic effect on the spillover index. Conversely, the spillover effect differs significantly between the two countries and is characterized by time variation and frequency dependence.


Author(s):  
Aref Emamian

This study examines the impact of monetary and fiscal policies on the stock market in the United States (US), were used. By employing the method of Autoregressive Distributed Lags (ARDL) developed by Pesaran et al. (2001). Annual data from the Federal Reserve, World Bank, and International Monetary Fund, from 1986 to 2017 pertaining to the American economy, the results show that both policies play a significant role in the stock market. We find a significant positive effect of real Gross Domestic Product and the interest rate on the US stock market in the long run and significant negative relationship effect of Consumer Price Index (CPI) and broad money on the US stock market both in the short run and long run. On the other hand, this study only could support the significant positive impact of tax revenue and significant negative impact of real effective exchange rate on the US stock market in the short run while in the long run are insignificant. Keywords: ARDL, monetary policy, fiscal policy, stock market, United States


2020 ◽  
Author(s):  
Maretno Agus Harjoto ◽  
Fabrizio Rossi ◽  
John Paglia

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