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India is one of those countries that are severely affected by the COVID-19 pandemic. With the upsurge in the cases, the country recorded high unemployment rates, economic uncertainties and slugging growth rates. This adversely affected the real estate sector in India. As the relation of the housing market with the gross domestic product is quite lasting thus, the decline in housing prices has severely impacted the economic growth of the nation. Hence, the purpose of this paper is to gauge the asymmetric impact of COVID-19 shocks on housing prices in India.

Studies revealed the symmetric impact of macroeconomic variables, and contingencies on housing prices dominate the literature. However, the assumption of linearity fails to apprehend the asymmetric dynamics of the housing sector. Thus, the author uses a nonlinear autoregressive distributed lag model to address this limitation and test the existence of short- and long-run asymmetry.

The findings revealed the long- and short-run asymmetric impact of the COVID-19 outbreak and the peak of the COVID-19 on housing prices. The results indicate that the peak of COVID-19 had a greater impact on housing prices in comparison to the outbreak of COVID-19. This can be explained as prices will revert to normal at a speed of 0.978% with the decline in the number of COVID-19 cases. Whereas the housing prices rise at a rate of 0.714 as a result of government intervention to deal with the ill effects of the COVID-19 outbreak. Moreover, it can be inferred that both the outbreak and peak of COVID-19 will lead to a minimal decline in housing prices, while with the decline in the number of cases and reduction in the impact of the outbreak of COVID, the housing prices will rise at an increasing rate.

To the best of the authors’ knowledge, this is the first study to understand the impact of the outbreak and peak of COVID-19 on the housing prices separately.

The purpose of this paper is to assess the possibility of asymmetric impact of monetary policy on housing permits issued in each state of the USA.

The methodology and approach are based on the linear ARDL and nonlinear ARDL approach to error-correction modeling and asymmetric cointegration.

The linear models predict that money supply impact housing permits in 28 states in the short run and only nine states in the long run. However, the asymmetric effects are far more pervasive, highlighting the restrictive nature of the linear model. The results from the nonlinear model show at least one lag of positive and/or negative changes in money supply significantly impacts housing permits in nearly all states. Even in the long run, housing permits in 32 states share a long-run relationship with positive and/or negative changes in money supply. The authors also find contractionary monetary policy has a greater influence on housing permits in most states compared to expansionary policy.

For the first time, the authors use state-level data and asymmetric approach to assess the impact of monetary policy on house permits issued in each state of the USA.

Companies often extend brands to higher or lower quality tiers to access different market segments. However, the impact of such extensions on the brand and its subsequent offerings is not yet conclusive. While some studies found an “averaging” pattern (all models contribute equally to the overall perception of the brand: a symmetric effect), others found a “best-of-brand” pattern (the positive impact of an upstream extension is much greater than the negative impact of a downstream extension: an asymmetric effect). This paper aims to reconcile these seemingly conflicting findings by assessing the conditions under which each pattern is likely to emerge.

Three experimental studies are presented to test the conditions under which a symmetric or asymmetric pattern of brand evaluation would merge. Study 1 examined the impact of judgment focus (quality vs expertise) on the pattern of brand evaluations. Study 2 tested the impact of having a comparative set on the assessment of specific brand dimensions. Study 3 examined the impact of the informativeness of price positioning on product quality expectations.

Brand evaluations and attitudes are determined by the presence of a comparative brand and judgment focus. When brands are evaluated without a comparison, a symmetric pattern emerges, as a low-tier extension hurts a brand as much as a high-tier extension helps it. In contrast, when brands are evaluated with a comparison, focusing the assessment on quality leads to a symmetric pattern, while focusing it on expertise leads to an asymmetric one.

The present research specifies conditions under which a low-tier model may hurt brand perceptions. We used hypothetical brands to avoid the impact of preexisting attitudes. While we expect our results to generalize to real brands, this may be considered a limitation of the present research.

The current research delineates the circumstances under which vertical line extensions have positive, neutral or negative impact on brand perceptions and future product expectations. We introduce the presence of a comparison set as a key variable and show how it interacts with assessment focus to affect brand evaluations. When thinking about the impact of extensions on brand perceptions, marketers need to consider which assessment focus is likely to be triggered by environmental cues and whether comparisons are salient.

Brand extension is an important area of investigation as evidenced by the vast literature dedicated to the subject. The present paper advances knowledge in this area by identifying key factors affecting the impact of vertical extensions on brand perceptions.

This study aims to investigate the relationship between trust and performance in international joint ventures (IJVs) with the moderating effects of the structural mechanisms from transaction cost approach.

Using web-survey, data are collected from 89 IJVs of Northern European firms in Asia, Europe and America. Empirical data are analyzed with structural equation modeling and estimates moderating effects of symmetric dependence, symmetric equity share and resource complementarity.

The findings offer some interesting insights for transaction cost and the social exchange theory. This study demonstrates that a symmetric equity share between IJV partners does not moderate the trust–performance relationship, while a symmetric dependence and resource complementarity between partners effect positively. Therefore, trust takes on greater importance in enhancing IJV performance under symmetric dependence and resource complementarity and symmetric equity share between IJV partners deprecates the importance of equity distribution.

A symmetric dependence prevents the deceit from either partner in trusting relationships. Further, a trustful relationship enhances IJV performance regardless of the equity share in IJVs. IJVs with asymmetric equity share can also be successful, provided that IJV partners develop inter-partner trust.

The extant research has not examined how the trust–performance relationship is contingent on structural mechanisms of IJVs that transaction cost economics deem necessary to prevent opportunistic behavior. Three structural mechanisms of symmetric dependence, symmetric equity share and resource complementarity moderate the trust–performance relationship in IJVs.

The objective of this chapter is to study the symmetric and asymmetric impact of macroeconomic variables on the Indian stock prices (SPs) of the Bombay Stock Exchange index. This chapter further investigates whether the asymmetric impact of macroeconomic variables on SP is due to the impact of any tail events like the global financial recession. An autoregressive distribution lag and non-autoregressive distribution lag approach is used for the full sample covering the period from January 2000 to June 2019 and later this sample is further subdivided into before and after the crisis period to study the variations in result. The findings show that macroeconomic variables and SP have a symmetric relation in the long run whereas an asymmetric relationship in the short run when the whole sample is analyzed. However when data are segregated into “before and after” crisis period this relationship turns to be asymmetric in long run too, meaning that in the long run, the negative and positive changes in a macroeconomic variable do not affect SPs similarly.

This paper investigates the (a)symmetric effects of financial development in the presence of economic growth, energy consumption, urbanization and foreign direct investment on environmental quality of South Africa between 1980 and 2017.

A robust measure of financial development is generated using banking institutions and non-banking institutions market-based financial development indicators, while environmental quality is measured using carbon footprint, non-carbon footprint and ecological footprint. The objectives of the study are captured using linear and non-linear autoregressive distributed lag.

The result from the symmetric analysis suggests that financial development stimulates carbon footprint and ecological footprint in the short run; however, financial development abates non-carbon footprint. In the long run, financial development has a significant negative effect on carbon footprint and ecological footprint. However, the asymmetric analysis established strong asymmetric effect in the short run, while no asymmetric effect is found in the long run. The short run asymmetric analysis reveals that positive shock in financial development increases carbon footprint and ecological footprint; however, positive changes in financial development reduce non-carbon footprint. Negative shocks in financial development, on the other hand, have a positive impact carbon footprint, non-carbon footprint and ecological footprint.

The study's outcome implies that the concept of “more finance, more growth” could also be applied to “more finance, better environment” in South Africa. The study offers vital policy suggestions for the realization of sustainable development in South Africa.

This empiric adds to the body of knowledge on the influence of financial development on various components of environmental quality (carbon footprint, non-carbon footprint and ecological footprint) in South Africa.

The introductory chapter includes how to design-in good practices in theory, data collection procedures, analysis, and interpretations to avoid these bad practices. Given that bad practices in research are ingrained in the career training of scholars in sub-disciplines of business/management (e.g., through reading articles exhibiting bad practices usually without discussions of the severe weaknesses in these studies and by research courses stressing the use of regression analysis and structural equation modeling), this editorial is likely to have little impact. However, scholars and executives supporting good practices should not lose hope. The relevant literature includes a few brilliant contributions that can serve as beacons for eliminating the current pervasive bad practices and for performing highly competent research.

This study aims to examine the symmetric and asymmetric impact of external debt on inflation in Sudan from 1970 to 2020 within a multivariate framework by including money supply and the nominal effective exchange rate as additional inflation determinants.

The authors utilize an Auto Regressive Distributed Lag (ARDL) model to examine the symmetric impact of external debt on inflation, while the asymmetric impact is examined using a Nonlinear ARDL (NARDL) model. The existence of a long-run relationship between inflation and external debt is tested using the bounds-testing approach to cointegration, and a vector error-correction model is estimated to determine the short parameters of equilibrium dynamics.

The linear ARDL model results show that external debt has no statistically significant impact on inflation in the long run. On the contrary, the results of the NARDL model show that positive and negative external debt shocks statistically affect inflation in the long run. The estimated long-run elasticity coefficients of the linear and nonlinear ARDL models reveal that the domestic money supply has a statistically significant positive impact on inflation. In contrast, the nominal effective exchange rate has a statistically significant negative impact on inflation.

The reliance on symmetric analysis may not be sufficient to uncover the existence of a linkage between external debt and inflation. Proper external debt management is crucial to control inflation rates in Sudan.

To date, no empirical study has assessed the external debt-inflation nexus and its potential asymmetry in Sudan, and the current study aims to fill this gap in the literature.

This paper develops the approach suggested by Howe et al. to examine the impact of cross‐listings on stock price volatility in Europe.

A modified generalized autoregressive conditional hetero‐skedasticity (GARCH) modeling approach as suggested by Li and Engle is used taking into account different regulatory structures across the range of markets using LaPorta et al.'s stock market regulatory classification.

It is found that information spillover effects are important for the Dutch market for cross‐listed equities and that a different regulatory environment may have a noteworthy impact on symmetric information spillovers.

The focus is 11 cross‐listing equities and on an event window of 12 years. This implies that the results may be biased on the data sample and the length of the period that used.

The findings are important for the shareholders of cross‐listed companies as the various impacts of regulatory differences between markets (as a result of low and high shareholder protection rules) from foreign markets to the Dutch home market are identified.

A primary focus of this paper is to provide a different methodology than the one adopted by Howe et al. using a modified GARCH modeling approach as suggested by Li and Engle, to examine the impact of the cross‐listings of Dutch firms on symmetric volatility spillovers. The analysis also takes into account the influence of different regulatory structures across the range of markets where Dutch firms are cross‐listed. In particular, we use LaPorta et al.'s stock market regulatory classification is used to analyze the magnitude and persistence of symmetric volatility spillovers from the foreign listing to the home equity of cross‐listed companies in the Dutch stock exchange.

Corporations are under increasing pressure to communicate their position and policies with regards to corporate social responsibility (CSR), informing consumers about the corporations’ good intentions and actions to appear trustworthy. Corporations have been asked to engage in dialogue with their consumers. However, academic literature still lacks empirical research that examines how consumers react to asymmetric versus symmetric communication strategies.

The present paper closes this gap and evaluates how consumers react to different CSR communication approaches on social media, specifically on Twitter. The study is based on a sample of 507 respondents in the UK, representing a well-educated population of social media users. The sample was divided into two sub-samples, one receiving a set of tweets with an asymmetric CSR communication approach (N = 242) and the other one with a symmetric CSR communication approach (N = 265).

The main finding of this study is that an asymmetric communication approach performs generally better than a symmetric communication approach. However, consumers’ involvement and their own personal information processing mechanisms also play a significant role when evaluating the trustworthiness of corporations.

The paper provides insights into how corporations should communicate with consumers on Twitter and what characteristics they should take into consideration to achieve consumer trust.