scholarly journals The impact of economic uncertainty and financial stress on consumer confidence: the case of Japan

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sudeshna Ghosh

PurposeThis study explores the response of consumer confidence in policy uncertainty in the Japanese context. The study also considers the dynamism of stock market behavior and financial stress and its impact on consumer confidence, which has remained unaddressed in the literature. The role of these control variables has important implications for policy discussions, particularly when other countries can learn from Japanese experiences.Design/methodology/approachThe nonlinear autoregressive distributed lag model postulated by Shin et al. (2014) was used for studying the asymmetric response of consumer confidence to policy uncertainty. This method has improved estimates compared to traditional linear cointegration methods.FindingsThe findings confirm the asymmetric impact of policy uncertainty on the consumer confidence index in Japan. The impact of the rise in policy uncertainty is greater than that of a fall in asymmetry on consumer confidence in Japan. Furthermore, the Wald test confirmed asymmetric behavior.Originality/valueThe contribution of this study is threefold. First, this study contributes to the extant literature by analyzing the asymmetric response of consumer confidence to policy uncertainty, controlling for both the financial stress and stock price indices. Second, to test the robustness of the exercise, the study utilized different frequencies of observations. Third, this study is the first to utilize the concept of Arbatli et al. (2017) to formulate a combined index of uncertainty based on economic policy uncertainty index, along with uncertainty indices such as fiscal, monetary, trade and exchange rate policies to study the overall impact of policy uncertainty.

2017 ◽  
Vol 59 (3) ◽  
pp. 365-375 ◽  
Author(s):  
Mahdi Salehi ◽  
Mostafa Karimzadeh ◽  
Navid Paydarmanesh

Purpose US sanctions have been a major feature of US Iran policy since Iran’s 1979 Islamic revolution, but the imposition of UN and worldwide bilateral sanctions on Iran that began in 2006 and increased dramatically as of 2010 is recent by comparison. The objectives of US sanctions have evolved over time. Broad international sanctions imposed on Iran harmed Iran’s economy and contributed to Iran’s acceptance of agreements that exchange constraints on its nuclear program for sanctions relief. The subject of this study is important because both Iran and the international communities are demanding for information about the effect of sanctions on Iran. In an international and regional perspective, it seems that sanctions have a negative impact on economic, social and even political status of Iran. Therefore, this paper aims to examine the impact of Iran Central Bank sanction on Tehran Stock Exchange as on December 31, 2011. Design/methodology/approach Variables of model are consisted by exchange rate, oil prices and Tehran Stock Exchange Price Index (TEPIX) from October 2, 2011 to March 29, 2012, which is offered daily. To analyze the model, the authors used Johansen–Juselius and Autoregressive Distributed Lag (ARDL) methods. Findings The results indicate that there is a long-run equilibrium relationship between selected variables as oil prices, and exchange rates have a positive effect on the TEPIX. In other words, the results of the econometric estimation show the positive effect of the Iran Central Bank sanction on the TEPIX. Thus, because of economic sanctions imposed by the Western countries, Tehran Stock Exchange has been growing. Originality/value No empirical research exists that examines the impact of sanctions on stock price in developing countries. This study fills this gap by examining the links between sanctions and stock price in Iran.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sudeshna Ghosh

Purpose The purpose of this paper is to examine the asymmetric impact of economic policy uncertainty (EPU) on the volatility of the housing price index (RP) based on quarterly observations from major European countries, namely, France, Germany, Sweden, Greece Italy and the UK. Design/methodology/approach The nonlinear autoregressive distributed lag model method is used to investigate the asymmetric impact of EPU on RP. In addition to considering EPU as the explanatory variable, industrial production (IP) (as a proxy for economic growth), interest rate (I), inflationary tendency (Consumer Price Index) and share prices (S) are included as major control variables. The period of the observations runs from 1996Q1 to 2019Q1. Findings The Wald test confirms the long-run asymmetric relationship for all countries. The alternative specification of the data sets reconfirms the asymmetric impact on RP in the long run, thereby verifying the robustness of the study. Research limitations/implications The study has implications for investors seeking to incorporate housing price behaviour within their portfolio structure. The analysis and findings are constrained by the availability of data. Originality/value This is one of the few studies on housing price dynamics related to the major economies of the European region that explore asymmetries. Additionally, it is the first to explore the asymmetry dynamics using the EPU variable.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Claudia Araceli Hernández González

PurposeThis study aims to provide evidence of market reactions to organizations' inclusion of people with disabilities. Cases from financial journals in 1989–2014 were used to analyze the impact of actions taken by organizations to include or discriminate people with disabilities in terms of the companies' stock prices.Design/methodology/approachThis research is conducted as an event study where the disclosure of information on an organization's actions toward people with disabilities is expected to impact the organization's stock price. The window of the event was set as (−1, +1) days. Stock prices were analyzed to detect abnormal returns during this period.FindingsResults support the hypotheses that investors value inclusion and reject discrimination. Furthermore, the impact of negative actions is immediate, whereas the impact of positive actions requires at least an additional day to influence the firm's stock price. Some differences among the categories were found; for instance, employment and customer events were significantly more important to a firm's stock price than philanthropic actions. It was observed that philanthropic events produce negative abnormal returns on average.Originality/valueThe event study methodology provides a different perspective to practices in organizations regarding people with disabilities. Moreover, the findings in this research advance the literature by highlighting that organizations should consider policies and practices that include people with disabilities.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Huy Viet Hoang ◽  
Cuong Nguyen ◽  
Khanh Hoang

PurposeThis study compares the impact of the COVID-19 pandemic on stock returns in the first two waves of infection across selected markets, given built-in corporate immunity before the global outbreak.Design/methodology/approachThe data are collected from listed firms in five markets that have experienced the second wave of COVID-19 contagion, namely the United States (US), Australia, China, Hong Kong and South Korea. The period of investigation in this study ranges from January 24 to August 28, 2020 to cover the first two COVID-19 waves in selected markets. The study estimates the research model by employing the ordinary least square method with fixed effects to control for the heterogeneity that may confound the empirical outcomes.FindingsThe analysis reveals that firms with larger size and more cash reserves before the COVID-19 outbreak have better stock performance under the first wave; however, these advantages impede stock resilience during the second wave. Corporate governance practices significantly influence stock returns only in the first wave as their effects fade when the second wave emerges. The results also suggest that in economies with greater power distance, although stock price depreciation was milder in the first wave, it is more intense when new cases again surge after the first wave was contained.Practical implicationsThis paper provides practical implications for corporate managers, policymakers and governments concerning crisis management strategies for COVID-19 and future pandemics.Originality/valueThis study is the first to evaluate built-in corporate immunity before the COVID-19 shock under successive contagious waves. Besides, this study accentuates the importance of cultural understanding in weathering the ongoing pandemic across different markets.


2017 ◽  
Vol 8 (1) ◽  
pp. 76-88 ◽  
Author(s):  
Samuel Kwabena Obeng ◽  
Daniel Sakyi

Purpose The purpose of this paper is to examine macroeconomic determinants of interest rate spreads in Ghana for the period 1980-2013. Design/methodology/approach The autoregressive distributed lag bounds test approach to cointegration and the error correction model were used for the estimation. Findings The results indicate that exchange rate volatility, fiscal deficit, economic growth, and public sector borrowing from commercial banks, increase interest rate spreads in Ghana in both the long and short run. Institutional quality reduces interest rate spreads in the long run while lending interest rate volatility and monetary policy rate reduce interest rate spreads in the short run. Research limitations/implications The depreciation of the Ghana cedi must be controlled since its volatility increases spreads. There is a need for fiscal discipline since fiscal deficits increase interest rate spreads. Government must reduce its domestic borrowing because the associated crowding-out effect increases interest rate spreads. The central bank must improve its monitoring and regulation of the financial sector in order to reduce spreads. Originality/value The main novelty of the paper (compared to other studies on Ghana) lies on the one hand; analysing macroeconomic determinants of interest rate spreads and, on the other hand, controlling for the impact of institutional quality on interest rate spreads in Ghana.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Li Li Eng ◽  
Mahelet Fikru ◽  
Thanyaluk Vichitsarawong

Purpose The purpose of this paper is to examine the impact of sustainability disclosures and disclosure ratings on firm value. This paper compares the informativeness of sustainability disclosures in company reports versus environmental, social and governance (ESG) disclosure ratings. The authors examine the extent to which they provide incremental information. Design/methodology/approach The sample consists of panel data from over 2,600 publicly-listed non-financial US companies for the period 2014–2018. The authors obtain sustainability disclosures from Sustainability Accounting Standards Board (SASB) Navigator and ESG disclosure scores from Bloomberg. The authors regress market value and/or stock price on sustainability disclosures and ESG scores to evaluate information content. Findings ESG scores are positively associated with market value and price. Sustainability disclosures in the form of metrics and company-tailored narratives provide incremental information content on market value and/or price. Boilerplate disclosures reduce market value and price. Sustainability disclosures and ESG scores provide incremental information, suggesting that it would be beneficial to harmonize standards for reporting sustainability disclosures. Research limitations/implications The limitation is that the authors have only considered sustainability disclosures for a sample of US companies from two sources – SASB Navigator and Bloomberg. Practical implications The paper provides some evidence that may be pertinent to the debate on whether to harmonize the guidance on reporting sustainability issues. Social implications The paper provides evidence on the benefits to firms for reporting sustainability issues. Originality/value This paper is among the first to analyze company sustainability disclosures obtained from two different sources – SASB Navigator and ESG disclosure ratings – and compare them for relevance for company valuation. With SASB Navigator, the authors obtain further refinement into the nature of the information provided in the sustainability disclosures, that is, boilerplate, company-tailored or metrics disclosures.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jianmai Liu

Purpose As an important part of the disclosure of listed companies' annual reports, MD&A will disclose some "bad news" about the company. The purpose of this paper is to study whether such "bad news" can reduce information asymmetry and alleviate the risk of stock price crash remains to be seen. Design/methodology/approach Based on the sample of A-share listed companies from 2007 to 2016, the authors examine whether the negative information in MD&A could reduce stock price crash risk. Findings It is found that the negative information in MD&A does not reduce future crash, which indicates that the negative information in MD&A does not alleviate the information asymmetry. Further, it is also found this is due to the low readability of negative information which leads to the negative information not successfully released into the market timely. Only highly readable negative information can alleviate information asymmetry and suppress crash risk. In addition, the authors also find in the companies with more investor surveys negative tone is negatively correlated with crash risk, which means that investor surveys could help investors interpret the negative information in MD&A and alleviate stock price crash risk. Practical implications The practical significance of this article: this paper suggests that investors should carefully identify the quality of negative information in MD&A and pay attention to other quality characteristics besides credibility. This paper suggests that the regulator should pay attention not only to whether to disclose and the amount of disclosure but also to the quality of information disclosure, such as readability, so as to restrict management's strategic behavior in information disclosure. Originality/value First, different from previous studies on the impact of information disclosure on crash risk, this paper directly explores the impact of information in MD&A on stock price crash risk from the perspective of negative information disclosure that management most want to hide. It supplements the literature on the impact of information disclosure on stock price crash risk. Second, this paper studies the interaction between information tone and readability and its impact on the risk of stock price crash. Some studies believe that the credibility of negative news is higher and investors' reaction may be stronger. However, this paper finds that the disclosure of negative information may not be absorbed by the market because of the low readability. Third, this paper finds that investor surveys can help information users to interpret negative information and alleviate the risk of stock price crash, which shows that information disclosure of different channels will complement each other and improve information efficiency. Therefore, it advocates different information disclosure channels which has important practical significance for improving market pricing efficiency and reducing investment decision-making risk.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mehdi Barati ◽  
Hadiseh Fariditavana

PurposeThe purpose of this study is to first assess how the US healthcare financing system is influenced by income variation. Then, it examines whether or not the impact of income variation is asymmetric.Design/methodology/approachFor the analyses of this paper, the autoregressive distributed lag (ARDL) model is implemented to a data set covering the period from 1960 to 2018.FindingsThe results provide evidence that major funding sources of aggregate healthcare expenditure (HCE) respond differently to changes in income. The results also imply that the effect of income is not always symmetric.Originality/valueMany studies have attempted to identify the relationship between income and HCE. A common feature of past studies is that they have only focused on aggregate HCE, while one might be interested in knowing how major funders of aggregate HCE would be affected by changes in income. Another common feature of past studies is that they have assumed that the relationship between income and HCE is symmetric.


2020 ◽  
Vol 32 (3) ◽  
pp. 457-476
Author(s):  
Nithya Shankar ◽  
Bill Francis

Purpose The paper aims to investigate the impact of economic policy uncertainty (EPU) (i.e. uncertainty due to government policies) on fine wine prices. Design/methodology/approach The paper uses the Baker et al. (2016) monthly news-based measure of EPU for the leading wine markets: the USA, the UK, France, Germany and China in conjunction with monthly fine wine pricing data from the London International Vintners Exchange (Liv-ex). The wine sub-indices used are the Liv-ex 500 (Bordeaux), Burgundy 150, Champagne 50, Rhone 100, Italy 100, California 50, Port 50 and Rest of the World 50. The Prais–Winsten and Cochrane–Orcutt regressions are used for our analyses to correct for effects of serial correlation. Time lags are chosen based on the appropriate information criterion. Findings Changes in EPU levels negatively impact changes in the Liv-ex 500 index for all our leading wine markets except France, the Champagne 50 index for the UK and the Burgundy 150 and the Rhone 100 indices for Germany, with the effects being significant for at least up to a quarter before EPU is detected. The authors did not find significant results for the EPU of France. Practical implications The paper aims to provide insights into whether EPU creates opportunities or threats for investors and wineries. Originality/value A forward-looking news-based EPU measure is used to gain insights into how the different Liv-ex sub-indices react to increases in uncertainty centered around government policies across a sample of different countries.


2019 ◽  
Vol 36 (2) ◽  
pp. 114-129 ◽  
Author(s):  
Mobeen Ur Rehman ◽  
Nicholas Apergis

Purpose This paper aims to explore the impact of investor sentiments on economic policy uncertainty (EPU). The analysis also considers the momentum effect, stock market returns volatility and equity pricing inefficiencies across markets, which, to the best of the authors’ knowledge, has not been addressed in the literature. The role of these control variables has collectively been considered to have important behavioral implications for international investors Design/methodology/approach Quantile regressions are used for estimation purpose, as it provides robust and more efficient estimates rather than those coming from the traditional regression model. Findings The momentum effect is negative and significant only at higher quantiles, while oil prices are positive and significant across all quantiles. The exchange rate exerts a negative and significant effect on EPU, whereas equity price volatility (i.e. investor sentiment) exerts a negative and significant impact on EPU in most of the quantiles. Research limitations/implications The results have important implications for international investors and policymakers, especially in terms of the breakdown of economic policy uncertainty across different sample markets. The breakdown of complete sample period into sub-samples acts as a robust analysis and documents the similarity of the results for the Asian and developed markets cases, but not in the case of the European markets. Practical implications The findings imply the importance of financial stability that impacts the accumulation of systemic risks and adds smoothness to the financial cycle in particular geographical areas. Originality/value The contribution of this paper is threefold. First, existing literature highlights and empirically tests the impact of economic policy uncertainty on different market, macro-economic and global control variables. The analysis, however, performs it in the reverse order, i.e. analyzing the impact of the momentum effect (investor sentiment variables), equity market inefficiencies and volatility (market variables) and exchange rates and Brent oil (control variables). Second, to check the sensitivity of economic policy uncertainty, the analysis analyzes a wide range of markets, segregated as emerging, developed and European regions over the sample period to generate region-wise implications. Finally, the analysis explores the relationship of aforementioned variables with economic policy uncertainty keeping in view the non-linear structure and prior evidence and investor sentiments and economic policy uncertainty in the regression model.


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