An analysis of stock market impact from supply chain disruptions in Japan

Author(s):  
Jiangxia Liu ◽  
Sourish Sarkar ◽  
Sanjay Kumar ◽  
Zhenhu Jin

Purpose The purpose of this paper is to explore the stock market impact of supply chain disruptions for public companies in Japan. The impact in the USA and Japan are also compared. Design/methodology/approach Using event study on a data set comprising of disruptions announced by Japanese and US companies during year 2000-2013, the authors measure the stock price reaction to supply chain disruptions. Findings The study finds that the Japanese companies, in an 11-day window around disruption announcement, witness an average abnormal return of −0.61 percent, which is statistically significant. In comparison to the USA, this stock decline is qualitatively smaller, yet statistically indifferent. The abnormal return is found significant in the two days before disruption announcement. However, a follow-up study with a refined data set (where the event date is the earlier of the announcement or disruption date) does not find any significant abnormal return prior to the event date. This difference from US market suggests the possibility of insider trading. Factors such as book-to-market ratio, industry type, and market capitalization did not affect the stock decline. Research limitations/implications The research is limited to a data set from Japan and the USA. Further generalization of findings may need studies focused on other countries. Practical implications The results are of interest for supply chain managers. The results should also help global investors in making investment decisions. Originality/value Most supply chain disruptions management research is focused on companies in western countries. The paper is the first to test the impact of supply chain disruptions in Japan.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hélène Flore Nguemgaing ◽  
Ana Claudia Sant’Anna

PurposeHow has COVID-19 impacted meat processors' stock returns? The authors evaluate the effects of supply chain disruptions (e.g. lockdowns and COVID-19 incidences among workers) on stock market prices of meat processors during the COVID-19 pandemic.Design/methodology/approachThis study uses an event study approach to examine the disruptions from COVID-19 through events such as plant shutdowns, the pandemic announcement, lockdown dates and the first case of COVID-19 outbreaks in meat processing plants. The dataset includes S&P 500, Google Trends, financial beta and data collected for 14 US publicly traded meat processing companies.FindingsResults show that nationwide events (e.g. announcement of the pandemic) had no statistically significant impact on average abnormal returns of meat processing companies. Individually, however, firms experienced negative abnormal returns. COVID-19-related events in individual meat processing companies had a temporary negative abnormal return in the days prior to the event.Originality/valueThis study has two main contributions. First, the authors estimate the effect of COVID-19 on the returns of meat processors. Second, the authors use Google Trends to estimate the expected stock markets returns of meat processing companies. This study provides insight to investors on the behavior of industry returns from events such as outbreaks that affect human health.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Benjamin Powers ◽  
Séverine Le Loarne-Lemaire ◽  
Adnane Maalaoui ◽  
Sascha Kraus

PurposeThis article contributes to the literature on entrepreneurship for people with disabilities through a better understanding of the impact of entrepreneurial self-efficacy perceptions on entrepreneurial intentions in populations with lower levels of self-esteem. It investigates the entrepreneurial intention and self-efficacy of a population of students suffering from dyslexia, which is a learning disability.Design/methodology/approachThe paper is based on the study of a data set of 796 male and female adolescents in the USA, aged 13–19 years, both with and without dyslexia. The sample is a convenient one. The whole sample replied to the questionnaire on their self-efficacy perception and their intention to create, one day, their own venture. They also self-declare their dyslexia. Regressions have been conducted to answer the research question.FindingsResults show that having dyslexia has a negative impact on entrepreneurial self-efficacy perceptions. They also reveal that self-efficacy perceptions mediate the relationship between dyslexia and entrepreneurial intentions and their three antecedents (social norms, control behavior and perceived ability).Research limitations/implicationsThe sample is composed of students from private schools and might socially be biased.Practical implicationsOur findings relaunch the debate on the necessity to develop education programs that consider the personal-level variables of students, specifically the development of entrepreneurial self-efficacy among adolescents with disabilitiesSocial implicationsSuch findings should help to better understand students who are suffering from dyslexia and help them find a place in society and economic life.Originality/valueThis is so far the first study that has been conducted on dyslexic adolescents.


2016 ◽  
Vol 34 (4) ◽  
pp. 321-346 ◽  
Author(s):  
Nicole Lux ◽  
Alex Moss

Purpose – The purpose of this paper is to test the relationship between liquidity in listed real estate markets, company size and geography during different market cycles, specifically pre-crisis (2002-2006) and post-crisis (2010-2014). Further, the study analyses the impact of stock liquidity on stock performance. In a previous study the authors examined the impact of liquidity on the valuation of European real estate shares. The result showed that there is a strong relationship between liquidity, valuation and market capitalisation post the Global Financial Crisis. Design/methodology/approach – The paper studies the linkages between regional market liquidity and company size for 60 listed real estate companies globally and determines the key drivers of company stock market liquidity pre- and post-crisis as well as the impact on stock performance. Analysis of variance is used to test cross-sectional independence in market liquidity combined with the Tukey’s post hoc test. The selected test indicators of liquidity to capture market depth and market tightness are daily stock turnover as percentage of market capitalisation and daily bid-ask spreads. Findings – Findings confirm previous studies that market liquidity factors are correlated globally over time indicating markets interdependence. However, sample groups by company size and geography form independent samples with different sample means, thus specific liquidity levels in each market may be different. First, stock turnover levels have not recovered post-crisis to pre-crisis levels in the majority of markets while spreads have continued moving downward to nearly insignificant levels in line with the rest of the equity market. Second, with regards to stock performance, the European bias previously detected is not apparent in the USA, and there is no evidence of the small cap vs large cap effect of small companies achieving superior returns, although smaller companies have outperformed in Europe and Asia in each of the last three years (2012-2014). Practical implications – The key implication is that although spread levels for smaller companies are higher, implying a slight risk premium when investing in small companies, this did not manifest into consistent superior stock market returns in the periods studied. In a mature market such as the USA or UK, liquidity levels in terms of stock turnover are higher and spreads are lower thus reducing trading costs, making them more attractive for investors. Originality/value – This research brings together previous analysis on stock market liquidity and stock performance on a global market level. It further tests the dependence of market liquidity on two key indicators, namely, geography and company size and analyses market changes with respect to liquidity pre- and post-crisis.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aswin Alora ◽  
Mukesh Kumar Barua

Purpose Supply chain disruptions can have severe negative consequences on companies. However, studies measuring the financial impacts of supply chain disruptions are largely confined to developed nations and large companies. Therefore, this study aims to analyze the impact of supply chain disruption on small companies in the context of an emerging nation. Further, an attempt has been made to classify supply chain disruptions and measure its impact by its type. Design/methodology/approach In this research, the event study on 335 supply chain disruption events for a 10 year period starting from 2009 to 2019 has been used. Findings The results state that the Indian small and medium companies lost −4.49% of shareholder wealth in disruption. The findings also indicate that the financial and environmental disruptions can have severe effect on shareholder wealth as compared to other category. Research limitations/implications The study is confined to a developing country. Considering multiple countries can provide comparative results and therefore a global consensus could be achieved. Practical implications The outcomes of the results help managers to plan and prioritize supply chain disruptions, regulatory authorities can plug any possible insider trading practices for small companies in the event of supply chain disruptions. Investors can plan and take prudent investing decisions based on the nature of the disruptions. Originality/value To the best of the knowledge, this is the first study measuring the supply chain disruption effects on smaller companies in an emerging nation. The study is also novel in incorporating financial disruptions and measuring source wise impact on shareholder wealth.


2019 ◽  
Vol 36 (7) ◽  
pp. 1053-1077 ◽  
Author(s):  
Binh An Thi Duong ◽  
Huy Quang Truong ◽  
Maria Sameiro ◽  
Paulo Sampaio ◽  
Ana Cristina Fernandes ◽  
...  

Purpose A single supply chain management (SCM) practice will have a certain impact on organizational performance (OP). However, since it is placed in a system that many other practices are conducted simultaneously, the practice itself will interact with other ones (i.e. affect/be affected). As a consequence, the efficiency of the affected practice is increased and it is expected to maximize the impact of SCM practices on OP. This mechanism is named the “resonant” influence that is a new approach in the SCM literature. The purpose of this paper is to test the above mechanism toward an insight into the relationship between SCM and OP. Design/methodology/approach Two models were compared: the competitive models only exist in direct effects; and the other contains relationships between practices that are able to show the mechanism of the resonant influence, i.e. the hypothetical model. A data set gained from Vietnamese garment enterprises was used to validate the mechanism of the resonant influence. Findings Empirical evidence from Vietnamese garment sector showed that the competitive models could explain 42.8, 26.3 and 34 percent variance of operational performance, customer satisfaction and financial performance, respectively. In the meantime, the hypothetical model containing the resonant influence is capable to explain 69.5, 33.1 and 57.3 percent. For the impact of each SCM practice on OP, all relationships in the hypothetical model are also greater than those in competitive ones. These results supported the mechanism of the resonant influence. Research limitations/implications This research provides an insight into the relationship between SCM practices and OP. By the resonant influence, the effectiveness of each affected SCM practice itself is magnified and OP is also increased remarkably. Practical implications Understanding the resonant influence, companies can apply this mechanism to enhance effectiveness of SCM practices at the lowest cost. To this end, the SCM practices should be implemented simultaneously as an integrated system rather than independent ones and the structural model proposed in this study is able to be used as “a guide map” for applying this mechanism. Originality/value This is one of pioneer empirical studies in the SCM literature that proposed and validated the concept of “resonant influence.”


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Atif Saleem Butt

PurposeThis paper explores the steps/countermeasures taken by firms to address supply chain disruptions in the wake of COVID-19.Design/methodology/approachThis study employs a case study methodology and employs 46 semi-structured interviews with senior managers of the three buying firms, four distribution centres and four supplying firms based in four countries (Pakistan, Sri Lanka, China and India).FindingsResults reveal that manufacturers are refining production schedules to meet the production challenges. Distributors are working with secondary suppliers to meet the inventory shortage. Finally, supplying firms are evaluating the impact of demand, focusing on short-term demand-supply strategy, preparing for channel shifts, opening up additional channels of communication with key customers, understanding immediate customer’s demand and priorities and finally becoming more agile.Research limitations/implicationsThere are some limitations to this study. First, the results of this study cannot be generalized to a wider population. Second, this study explores the interpretations of senior managers based in four Asian countries only.Practical implicationsSupply chain firms can use these findings to understand how COVID-19 is affecting firms. Firms can also use the suggestions provided in this study to mitigate the impact of COVID-19 and make the best out of this pandemic.Originality/valueThis study contributes to the supply chain disruption literature by exploring the robust countermeasure taken by supply chain firms amid COVID-19 outbreak. In particular, it explores such countermeasures from the perspective of three different entities (buyer, supplier and distributor) based in four different countries in the South Asian region.


2014 ◽  
Vol 19 (2) ◽  
pp. 142-152 ◽  
Author(s):  
Kathryn A. Marley ◽  
Peter T. Ward ◽  
James A. Hill

Purpose – Existing supply chain literature provides examples of countermeasures that firms can adopt to mitigate abnormal or catastrophic supply chain disruptions. However, none address reducing interactive complexity prior to adopting countermeasures to mitigate everyday or normal supply chain disruptions. Most mitigation strategies focus on adding capabilities or resources to protect an organization. Here, the authors aim to consider an alternative strategy of examining current processes to determine whether processes can be simplified by using the normal accident theory and its constructs of interactive complexity and coupling as a theoretical basis. Design/methodology/approach – The authors develop a model based on the normal accident theory and use logistic regression to test their propositions in the context of a steel processing plant and its customers. Findings – The findings show the importance of reducing interactive complexity to mitigate supply chain disruptions. However, high inventory is not considered a significant countermeasure, and high inventory levels may increase the likelihood of causing a disruption downstream. These findings support the lean management approach of operating under low inventory levels while eliminating complexity to make problems more visible, causing fewer disruptions. Originality/value – While others have examined the impact of mitigation strategies conceptually, no study has captured information from actual supply chain disruptions to assess how interactive complexity and inventory levels affect disruption potential at downstream customers' facilities. Capturing information from supply chain disruptions enables managers to assess the situation as the disruption is occurring. The authors suggest a strategy in which countermeasures that increase slack in the system should be considered only after the system is sufficiently simplified to mitigate disruptions.


2020 ◽  
Vol 25 (50) ◽  
pp. 279-294
Author(s):  
Aiza Shabbir ◽  
Shazia Kousar ◽  
Syeda Azra Batool

Purpose The purpose of the study is to find out the impact of gold and oil prices on the stock market. Design/methodology/approach This study uses the data on gold prices, stock exchange and oil prices for the period 1991–2016. This study applied descriptive statistics, augmented Dickey–Fuller test, correlation and autoregressive distributed lag test. Findings The data analysis results showed that gold and oil prices have a significant impact on the stock market. Research limitations/implications Following empirical evidence of this study, the authors recommend that investors should invest in gold because the main reason is that hike in inflation reduces the real value of money, and people seek to invest in alternative investment avenues like gold to preserve the value of their assets and earn additional returns. This suggests that investment in gold can be used as a tool to decline inflation pressure to a sustainable level. This study was restricted to use small sample data owing to the availability of data from 1991 to 2017 and could not use structural break unit root tests with two structural break and structural break cointegration approach, as these tests require high-frequency data set. Originality/value This study provides information to the investors who want to get the benefit of diversification by investing in gold, oil and stock market. In the current era, gold prices and oil prices are fluctuating day by day, and investors think that stock returns may or may not be affected by these fluctuations. This study is unique because it focusses on current issues and takes the current data in this research to help investment institutions or portfolio managers.


2016 ◽  
Vol 42 (8) ◽  
pp. 817-829 ◽  
Author(s):  
Kenneth M Washer ◽  
Srinivas Nippani ◽  
Robert R Johnson

Purpose – Several articles in the popular press have detailed an end-of-year anomaly known as the Santa Claus Rally, a period best defined as the last five trading days of December and the first two trading days of January. The purpose of this paper is to examine US stock market returns over this period from 1926 to 2014. Design/methodology/approach – The authors examine the Santa Claus Rally by relating it to firm size in the stock markets of the USA. The Santa Claus Rally consists of the last five trading days in December and the first two in January. The authors use t-tests, non-parametric test and regression analysis to determine if investors in small firms get superior returns over the period 1926-2014. Findings – The authors find that returns are generally higher during the period and that the effect is considerably stronger for small-firm portfolios relative to large capitalization portfolios. The authors also provide convincing evidence that the three most important trading days (especially for small stock portfolios) are the last trading day in December and the first two trading days in January. Research limitations/implications – The authors only check the markets in the USA. Market makers can use this to get significantly high returns during the Christmas-New Year period. The study shows for the first time that there is a size effect as part of the Santa Claus Rally. Practical implications – This is the first study to show that Santa Claus Rally exists for a long time in the USA. It is the first study to show that there is a size effect in Santa Claus Rally. Market participants could get significantly higher returns by investing or being invested in the stock market during this period. Social implications – The impact of the holiday season on stock market returns. Originality/value – This is the first major academic study to examine Santa Claus Rally in this much detail. The authors not only show that the rally exists, the authors show that it is based on firm size and has been in existence for nearly 90 years in the USA.


Author(s):  
Sanjay Kumar ◽  
Jiangxia Liu ◽  
Jess Scutella

Purpose – Supply chain structure, characteristics, and applicable policies differ between developing and developed countries. While most supply chain management research is directed toward supply chains in developed countries, the authors wish to explore the financial impact of disruptions on supply chains in a developing country. The purpose of this paper is to highlight the importance of effective supply chain management practices that could help avoid or mitigate disruptions in Indian companies. The authors study the stock market impact of supply chain disruptions in Indian companies. The authors also aim to understand the difference in financial implications from disruptions between companies in India and the USA. Design/methodology/approach – Event study methodology is applied on supply chain disruptions data from Indian companies. The data are compiled from public news release in Indian press. A data set of 301 disruptions for a ten-year period from 2003-2012 is analyzed. Stock valuation of a company is used to assess the financial impact. Findings – The results show that Indian companies on average lose −2.88 percent of shareholder wealth in an 11-day window covering the event day and five days pre- and post-disruption announcement. A significant stock decline was observed as early as three days prior to announcement, indicating possibility of insider trading and information differentials between investors. Irrespective of the location and responsibility of a disruption, companies experience significant negative returns. Company size, book-to-market ratio, and debt-to-equity ratio were found to be insignificant in affecting the stock market reactions to disruptions. The authors also compiled supply chain disruptions data for US companies. When compared to the US companies, Indian companies register a significantly higher stock decline in the event of a disruption. Research limitations/implications – Supply chain disruptions data from India and the USA are analyzed. Broad applicability of results across countries may require studying other developing countries. The research demonstrates potential effectiveness of investment in supply chain management initiatives. It also motivates research focussed specifically on supply chains in developing countries. Practical implications – Supply chain decision makers in India could benefit from investment in disruptions management and mitigation practices. The results provide a valuation of effective supply chain management. The findings provide guidance for investors in making decisions when supply chains face disruptions. Originality/value – The paper studies the financial consequences of supply chain disruptions in a developing country. The study is valuable because of increasing globalization, outsourcing, and the economic role of developing countries.


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