scholarly journals Underestimating risk leading to the collapse of a market leader in tourism

2022 ◽  
Vol 132 ◽  
pp. 01011
Author(s):  
Jana Janíková ◽  
Marek Vochozka ◽  
Martin Votava

The topic of this paper, underestimating risk leading to the collapse of the market leader in tourism, is demonstrated on the example of the British travel agency Thomas Cook, which at one time was one of the oldest and largest travel agencies in the world. The aim of this paper is to analyze the development of the stock prices of Thomas Cook from May 13, 2018 to May 19, 2019 and the factors that had an impact on the share price of this company in the monitored period. The base source of data are the share prices of the travel agency Thomas Cook in the specified period from May 13, 2018 to May 19, 2019 published by MarketWatch. A statistical description of time series is used, a moving average trend line is displayed, and a cause-and-effect analysis evaluating the impact of the published information on the value of Thomas Cook’s stocks is carried out. The general lesson for companies resulting from this contribution is that every negative event, announcement or piece of information has a negative impact on the value of a company’s shares and a collapse could happen even to the leader of a given industry. The collapse of Thomas Cook provides lessons for companies doing business in tourism, so that in the event of a planned merger, a suitable company is selected, the company’s funds are under control and development trends in the field are monitored.

2019 ◽  
Vol 45 (7) ◽  
pp. 950-965 ◽  
Author(s):  
Praveen Kumar ◽  
Mohammad Firoz

Purpose The purpose of this paper is to analyze the relationship between Certified Emission Reductions (CERs) information and a firm’s stock prices. Design/methodology/approach The present study is based on 193 CERs announcements by Indian firms over a 13-year period 2005–2017. The event study methodology is used to examine the impact of CERs announcements on a firm’s share prices. Findings The study suggests that the issuance of CERs did not produce any significant abnormal return. More specifically, the outcomes of event study shows that over a two-day event window from the event day to the day after the event (i.e. days 0 to 1), the mean and median of AARs are −0.25 and −0.34 percent, respectively. The abnormal returns on day 1 are not statistically significant as per the t-test. Moreover, the mean and median of abnormal returns after one day (−1) are negative, indicating that investors react negatively to CERs announcements. However, the mean and median of CAARs over both the two-day (i.e. days −1 to 0 and days 0 to +1) and three-day (i.e. days −1 to +1) event windows are positive, but not statistically significant based on the t-test. Research limitations/implications The findings of the study are quite comprehensive, relatively used only market-based criteria of a firm’s financial performance, e.g., share price, at times, inhibits generalizing the results. Originality/value To the best of the author’s knowledge, the present study is a first of its kind to investigate the relationship between the CERs information and a firm’s stock prices.


2016 ◽  
Vol 3 (1) ◽  
pp. 124
Author(s):  
Muhammad Asif ◽  
Kashif Arif ◽  
Waqar Akbar

Purpose—The purpose of this paper is to examine the relationship between accounting information and share price. In order to achieve this, a model that includes specific accounting ratios (earning per share, book value per share, capital employed per share and operating cash flow per share) and shares a price is developed. Design/methodology/approach—The data were collected from the companies listed in KSE-30 index. The time frame spans from 2006 to 2013 and OLS regression models were used to examine the relationshipsFindings—The resulting evidence suggest that accounting information parameters have significant influence on share price and they have joint explanatory power in determining stock prices. This research finds the consistent results with pervious empirical researches.Originality/value—The present study adds to the existing literature by examining the impact of accounting information on share prices within the context of an emerging capital market such as Pakistan Stock Exchange using KSE-30 companies. This is believed to be the first study which considers the aforementioned issues in the Pakistan’s capital market environment.


2021 ◽  
Vol 16 (1) ◽  
pp. 255-269
Author(s):  
Konstantin Melching ◽  
Tristan Nguyen

Abstract This paper examines the relation between dividend payments and stock prices of all firms in the German prime standard DAX 30 in the time period from 2012 to 2019. The irrelevance theory introduced by Miller and Modigliani states that dividend payments must not have an impact on stock prices in a perfect market. In contrast, the signaling theory and the dividend puzzle indicate that dividend payments are likely to have a profound impact on the stock price. According to our findings the ex-dividend decrease of stock prices was significantly smaller than the dividend payment. Nevertheless, the results support the impact of the dividend payment on the share price. Firstly, the existence of the ex-dividend markdown is a proof that dividend payments cause share price losses. Secondly, the study explains in particular that high dividend payments result in high share prices over the examined period. Thirdly, our analysis demonstrates a positive correlation between the dividend and the stock price development according to the signaling theory. Considering the above- mentioned results, we can conclude that the share price of a company is highly affected by the decision making of the company regarding the dividend policy.


2019 ◽  
Vol 11 (11) ◽  
pp. 3122 ◽  
Author(s):  
Truzaar Dordi ◽  
Olaf Weber

Several prominent institutional investors concerned about climate change have announced their intention or have divested from fossil fuel shares, to limit their exposure to the industry. The act of fossil fuel divestment may directly depress share prices or stigmatize the industry’s reputation, resulting in lower share value. While there has been considerable research conducted on the performance of the fossil fuel industry, there is not yet any empirical evidence that divestment announcements influence share prices. Adopting an event study methodology, this study measures abnormal deviations in stock prices of the top 200 global oil, gas, and coal companies by proven reserves, on days of prominent divestment announcements. Events are analyzed independently and in aggregate. The results make several notable contributions. While many events experienced short-term negative abnormal returns around the event day, the effects of events were more pronounced over longer event windows following the New York Climate March, suggesting a shift in investor perception. The results also find that divestment announcements related to campaigns, pledges, and endorsements all have a significant effect over the short-term event window. Finally, the results control for the general underperformance of the industry over the estimation window, attesting that the price change is caused by divestment announcements. Several robustness tests using alternate expected returns models and statistical tests were conducted to ensure the accuracy of the result. Overall, this study finds that divestment announcements decrease the share price of the fossil fuel companies, and thus, we conclude that ‘divestors’ can influence the share price of their target companies. Theoretically, the result adds new knowledge regarding the efficacy of the efficient market hypothesis in relation to divestment.


Author(s):  
Mohammad Ahsan

The Covid-19 pandemic has had a negative impact on the economy and other business sectors including the impact felt by BUMN. Research on the influence of internal and external factors of BUMN on BUMN stock prices was carried out using secondary data and observations on 12 BUMNs consisting of the steel and cement, construction, mining and food and health sectors. According to the data, the BUMN share price experienced a decline during the Covid-19 pandemic where the most affected were BUMN in the construction sector (-128%), mining (-74%), steel and cement          (-60%) and the food and health sector (-15%). This study explores internal and external factors in BUMN that have the potential to influence stock prices by analyzing the quantity using linear regression equations with the help of the SPSS statistical application. Several internal and external factors in SOEs that affect BUMN stock prices are current ratio (CR), return on assets (ROA), debt to equity ratio (DER), foreign exchange rates, inflation, economic growth and and the Covid-19 pandemic. The results show that there is an influence of internal and external factors of BUMN on BUMN stock prices and the most dominant factor affecting stock prices is the foreign exchange rate of 34.36%, economic growth of 32.11% and the Covid-19 pandemic of 1.84%. Meanwhile, the internal factors that have influence are ROA of 0.25% and DER of 0.15.


Author(s):  
سعدالله ألنعيمي

The study aims to analyzing the reciprocal relationship between the nominal exchange rate of the Turkish lira versus the U.S. dollar and the stock prices of the companies listed on the Istanbul Stock Exchange (ISE) expressed in the general market index for the period from 2005 to 2020 with 192 monthly observations, based on the traditional theory and the theory of portfolio balance model in theoretical interpretation for that relationship, aiming to identify the effect of the exchange rate on stock prices, as well as to analyze the causal relationship between those variables and to identify which of them is the cause or which is the result, using the Autoregressive Distributed Lag (ARDL) model. The research found that the exchange rate has a positive effect on stock prices in the long term, despite the emergence of the negative impact in the short term, but the long-term relationship has corrected the course of the short-term relationship with a time period not exceeding one month, in addition to proving that this relationship takes one direction. From the exchange rate towards stock prices, that is, the exchange rate is the reason and stock prices are the result, therefore the results of this research helps investors to predict future trends of stock prices depending on the exchange rate changes, and it also enables the companies, especially those with foreign transactions, to manage price risks the exchange rate in order to avoid its negative impact on its share price, as it represents an obstacle to achieving its main goal of maximizing the share price


2017 ◽  
Vol 16 (2) ◽  
pp. 573-602
Author(s):  
Rafaela Augusta Cunha Silveira ◽  
Renata Turola Takamatsu ◽  
Bruna Camargos Avelino

Resumo O rating de crédito expressa uma opinião, por intermédio de escalas, sobre a qualidade do crédito de empresas, utilizado-a como medida de avaliação de risco no mercado. Agências de classificação de risco de crédito, como a Moody’s, divulgam os ratings que atribuem às empresas. Primeiramente, essas agências emitem o new rating, que representa o primeiro rating da companhia, e, posteriormente, essa emissão pode apresentar variações, denominadas upgrades e downgrades, relativas a boas e más notícias, respectivamente. Além disso, os ratings podem ser colocados em uma Watchlist quando, em breve, pode haver uma mudança do rating para downgrade ou para upgrade. O objetivo com este estudo consistiu, diante do que foi tratado, em abordar o impacto do rating de crédito sobre os preços das ações de empresas listadas na bolsa de valores brasileira. Para alcançar o objetivo proposto, foi analisada uma amostra de 44 empresas comercializadas na BM&FBovespa e 65 ratings nacionais de longo prazo emitidos pela Moody’s entre 2000 e 2015. Utilizou-se a metodologia de estudo de eventos, com os retornos normais calculados pelo modelo de retornos ajustados ao risco e ao mercado, e o Teste-F e o Teste-T para verificar a significância dos resultados. As análises finais evidenciaram que os preços das ações não são afetados de forma significativa pelas divulgações dos new ratings, downgrades, upgrades, on watch – possible downgrades e on watch – possible upgrades em nenhuma janela do evento, indicando que os ratings, para a amostra analisada, não trazem novas informações ao mercado.Palavras-chave: Ações. Rating. Estudo de eventos. Retornos anormais. Abstract Credit ratings are used as a mean to investors get new information on the companies by reducing the information asymmetry in the market. Thus, the rating is an important mean of business information with investors, enabling share prices relating to companies react to it. Branches of credit rating as Moody's, disclose the ratings they assign to companies. First, the agency issues the new rating, which represents the company's first rating, then this issue may vary, upgrades and downgrades calls relating to good and bad news respectively. In addition, the ratings could be placed in a Watchlist when, soon there may be a change to the rating downgrade or upgrade. The purpose of this study was to discuss the impact that the credit rating has on stock prices of companies listed on the Brazilian stock exchange. For a sample of 44 companies traded on BM&FBovespa and 65 long-term national ratings issued by Moody's between 2000 and 2015, we used the event study methodology, with normal returns calculated by the model of returns adjusted for risk and market the F-Test and T-Test to test the significance of the results. The final analysis showed that stock prices are not significantly affected by the disclosures of new ratings, downgrades, upgrades, on watch – possible downgrades and on watch – possible upgrades in any event window, indicating that the ratings do not bring new information to the market.Keywords: Stocks. Rating. Event studies. Abnormal returns.


Author(s):  
Thị Lam Hồ ◽  
Thùy Phương Trâm Hồ

Dividend policy is one of the most important policies in corporate finance management. Understanding the impact of dividend policy on the distribution of profits, corporate value and thus on the stock price is important for business managers to make policies and for investors to make investment decisions. This study is conducted to evaluate the impact of dividend policy on share prices for companies listed on Vietnam’s stock market in the period from 2010 to 2018, based on the availability of continuous dividend payment data. Using the FGLS method with panel data of 100 companies listed on the HoSE and HNX, we find evidence of the impact of dividend policy on stock prices, supporting supports the bird in the hand and the signal detection theories. The findings of this study help to suggest a few recommendations for business managers and investors.


2021 ◽  
pp. 79-99
Author(s):  
Minhaz-Ul Haq

This paper attempts to picture the impact of the market risk of ten commercial banks located in Bangladesh with the help of a non-parametric model known as the Historical Simulation Approach over the course of eight years. These banks' daily stock prices were used as inputs and analyzed in Microsoft Excel by means of Percentile and LN function. The study revealed market risk exposure as third, second-and first-generation banks from the least to the highest. It also pointed out the ups and downs of these banks' share prices in the selected period. Further analysis showed the portfolio VaR estimation for different time intervals. JEL classification numbers: G32. Keywords: Value-at-risk, Historical Simulation, Market Risk, Confidence Interval.


2021 ◽  
Vol 11 (1) ◽  
pp. 41-53
Author(s):  
Popy Marsela ◽  
One Yantri

This study aims to determine the effect of Profitability, Liquidity and Solvability on the share prices of sector Transportation on the Indonesia Stock Exchange (IDX) period 2014-2018. The Share Prices as the dependent variable is proxied by Closing Price. The independent variables in this Profitability, Liquidity and Solvability. The Profitability is proxied by Return On Asset (ROA), Liquidity is proxied by Current Ration (CR), Solvability is proxied by Debt to Equity Ratio (DER). The research method uses a quantitative method approach. The results of this experiment showed that the independent variable Profitability has a significant positive effect on stock prices with a significance of 0.000 < 0.00. Liquidity has not a significant negative effect on stock prices with a significance value of 0.181 > 0.005. Solvability has a significant positive effect on stock prices with a significance of 0.001 < 0.005. Profitability, Liquidity, and Solvability together significantly influence the Share Price with a significance value of 0.000 < 0.005.


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