scholarly journals Corporate Failure

2013 ◽  
Vol 2 (3) ◽  
pp. 103-110
Author(s):  
Ben Jabeour Sami

A number of authors suggested that the impact of the macroeconomic factors on the incidence of the financial distress, and afterward in case of failure of companies. However, macroeconomic factors rarely, if ever, appear as variables in predictive models that seek to identify distress and failure; modellers generally suggest that the impact of macroeconomic factors has already been taken into account by financial ratio variables. This article presents a systematic study of this domain, by examining the link between the failure of companies and macroeconomic factors for the French companies to identify the most important variables and to estimate their utility in a predictive context. The results of the study suggest that several macroeconomic variables are strictly associated to the failure, and have a predictive value by specifying the relation between the financial distress and the failure.

2016 ◽  
Vol 2 (3) ◽  
pp. 103
Author(s):  
Ben Jabeour Sami

<p>A number of authors suggested that the impact of the macroeconomic factors on the incidence of the financial distress, and afterward in case of failure of companies. However, macroeconomic factors rarely, if ever, appear as variables in predictive models that seek to identify distress and failure; modellers generally suggest that the impact of macroeconomic factors has already been taken into account by financial ratio variables. This article presents a systematic study of this domain, by examining the link between the failure of companies and macroeconomic factors for the French companies to identify the most important variables and to estimate their utility in a predictive context. The results of the study suggest that several macroeconomic variables are strictly associated to the failure, and have a predictive value by specifying the relation between the financial distress and the failure.</p>


2009 ◽  
Vol 12 (03) ◽  
pp. 417-454 ◽  
Author(s):  
Bi-Huei Tsai ◽  
Cheng-Few Lee ◽  
Lili Sun

This study investigates the usefulness of auditors' opinions, market factors, macroeconomic factors, and industry factors in predicting financial distress of Taiwanese firms. Specifically, two non-traditional auditors' opinions are evaluated: "long-term investment audited by other auditors" ("other auditor"), and "realized investment income based on non-audited financial statements" ("no auditor").The results of the 22 discrete-time hazard models show that "other auditor" opinions have incremental contribution in predicting financial distress, in addition to "going concern" opinions. This suggests that "other auditor" opinions possess higher risk of overstating earnings and firms with such income items are more likely to fail. Besides, we find that the macroeconomic factors studied significantly explain financial distress. Particularly, the survivals of electronic firms are more sensitive to earnings due to higher earnings fluctuations in such firms. Finally, models with auditors' opinions, market factors, macroeconomic factors, and industry factors perform better than the financial ratio-only model in financial distress prediction.


2008 ◽  
Vol 47 (4II) ◽  
pp. 501-513 ◽  
Author(s):  
Arshad Hasan ◽  
Zafar Mueen Nasir

The relationship between macroeconomic variables and the equity prices has attracted the curiosity of academicians and practitioners since the publication of seminal paper of Chen, et al. (1986). Many empirical studies those tested the relationship reveal that asset pricing theories do not properly identify macroeconomic factors that influence equity prices [Roll and Ross (1980); Fama (1981); Chen, et al. (1986); Hamao (1986); Faff (1988); Chen (1991); Maysami and Koh (2000) and Paul and Mallik (2001)]. In most of these studies, variable selection and empirical analyses is based on economic rationale, financial theory and investors’ intuition. These studies generally apply Eagle and Granger (1987) procedure or Johanson and Jusilieus (1990, 1991) approach in Vector Auto Regressor (VAR) Framework. In Pakistan, Fazal (2006) and Nishat (2001) explored the relationship between macroeconomic factors and equity prices by using Johanson and Jusilieus (1990, 1991) procedure. The present study tests the relationship between macroeconomic variables such as inflation, industrial production, oil prices, short term interest rate, exchange rates, foreign portfolio investment, money supply and equity prices by using Auto Regressive Distributive Lag (ARDL) bounds testing procedure proposed by Pesaran, Shin, and Smith (1996, 2001). The ARDL approach in an errorcorrection setting has been widely applied to examine the impact of macroeconomic factors on economic growth but it is strongly underutilised in the capital market filament of literature. This methodology has a number of advantages over the other models. First, determining the order of integration of macroeconomic factors and equity market returns is not an important issue here because the Pesaran ARDL approach yields consistent estimates of the long-run coefficients that are asymptotically normal irrespective of whether the underlying regressors are I(0) or I(1) and of the extent of cointegration. Secondly, the ARDL approach allows exploring correct dynamic structure while many econometric procedures do not allow to clearly distinguish between long run and short run relationships.


2019 ◽  
Vol 8 (3) ◽  
pp. 61
Author(s):  
Sunita Mall ◽  
Tushar R. Panigrahi ◽  
Stephina Thomas

Credit risk can be effectively managed by evaluating and predicting the credit worthiness of a customer or a corporate. Credit scores are calculated to assess the credit worthiness. It helps the financial institutes to know the amount and dimensions of risk involved in different credit transactions. Credit scoring helps the financial institutes to decide whether or not to lend. It also helps in deciding the price of a particular exposure, the appropriate credit facility and different risk tools.  This research paper focuses on identifying the triggers of credit default. It also focuses on checking and predicting the financial solvency of the borrowers of non-banking financial companies and assigning the credit worthiness to these companies. The data is collected from a Mumbai based NBFC. The data for the study are extracted from balance sheet and profit &loss statement of these companies. The data includes the financial ratio variables for forty companies. Altman's Z-score is used to find credit worthiness and DuPont technique is used to find the main causes of financial distress. The results of this research highlights that the borrowing companies having a lower return on equity (ROE) are prone to be in distress zone. This research would help the financial institutions to identify the most likely defaulter companies and to segment the clients/companies in safe, grey and distressed zones. The results are robust to sub-samples.


2018 ◽  
Vol 5 (1) ◽  
pp. 44
Author(s):  
Lutfullah Lutf ◽  
Hafizullah Omarkhil

This study comparatively focuses on the impact of macroeconomic determinants and the internal indicators on bank performance. It comparatively evaluates the differential effects of macroeconomic variables and bank specific variables. Thus, considering five-five banks from each system, a comparative performance investigation between conventional & Islamic banks is the aim of this paper. To determine the short-run and long-run impact of these factors, co-integration & general to specific approach are adopted. This study also considers bank specific and macroeconomic variables in two separate models (Return on Assets and Return on Equity). Our objective is to find whether or not Islamic banks are performing well in the country as compared to their conventional counterparts. The results indicate that in the long run, Gross Domestic Product, and inflation, is positively related to performance, while Interest rate has no effect on the performance of banking sector in Pakistan. Similarly, bank size, capital adequacy, expenses, interest income and non-interest income are the bank related factors that significantly influence the performance of financial sector.


Author(s):  
Piotr Bórawski ◽  
Mariola Grzybowska-Brzezińska ◽  
James William Dunn ◽  
Spiro E. Stefanou

The objective of the paper is to recognize the role of internal and external factors in the trade balance. The analysis of the trade balance is useful to help formulate goals and premises of economy policy to properly allocate production means to eliminate the negative effects of trade liberalization. The authors have studied data about trade of agricultural commodities in the years 2000–2010. To measure the impact of macroeconomic variables used a regression model. The macroeconomic factors included: X1 (inflation), X2 (investment in agriculture and hunting), X3 (GDP) and X4 (exchange rate) and X5 (FAO food price index). We wanted to recognize the impact of macroeconomic factors on: Y1 (total export), Y2 (total import), Y3 (trade balance).


2020 ◽  
Vol 11 (9) ◽  
pp. 1827-1845
Author(s):  
Mehmet Asutay ◽  
Jaizah Othman

Purpose The global financial crisis of 2008 still has an impact on the financial systems around the world, for which funding liquidity has been mentioned as one of the main concerns during that period. This study aims to consider the impact of and extent to which the funding structure of Islamic banks along with deposit structure, macroeconomic variables, other bank-specific variables, including alternative funding mix variables (in terms of funding structure measured as financing/deposit ratio), could play a part in explaining the financial conditions and predicting the failures and performances of Islamic banks in the case of Malaysia under the distress created by the global financial crisis. Design/methodology/approach Multivariate logit model was used with a sample including 17 full-fledged Islamic banks in Malaysia for the period from December 2005 to September 2010 by using quarterly data. Findings This study found that the funding mix variable (financing/deposit ratio), the composition of deposits, alternative bank-specific variables and alternative funding mix variables are statistically significant. In contrast, none of the macroeconomic variables is found to have a significant impact on bank liquidity. In the final models, the variables that showed significant performance were selected as explanatory variables. The results of McFadden R-squared for both selected models showed an excellent fit to predict the Islamic banks’ performance. Originality/value This empirical study contributes to the literature in two ways: to the best of the authors’ knowledge, this is the first study to examine the role of the funding structures of Islamic banks in determining their performance; and it also examines the effect of deposit composition (the mudharabah and non-mudharabah deposits) on Islamic banks’ performance.


2020 ◽  
Vol 12 (1) ◽  
pp. 131-143 ◽  
Author(s):  
Mohd Edil Abd Sukor ◽  
Zahida Abu Sujak ◽  
Kamaruzaman Noordin

Purpose The purpose of this paper is to empirically examine the return and dividend characteristics of two different types of Malaysian real estate investment trust (REIT) series, namely, conventional and Islamic, against macroeconomic variables over the period 2011-2017. Design/methodology/approach The required data are derived from Datastream database. Multiple regression analysis is used to determine the impact of macroeconomic variables on financial performance of 13 Malaysian REIT series. Findings Results show that the macroeconomic variables are able to predict future returns and dividends of Malaysian REITs. The analysis also suggests that Islamic REITs are seen to be less sensitive to macroeconomic variables and display better portfolio diversification benefits as compared to their conventional counterpart. The ongoing implications for large-cap and small-cap REITs are also highlighted. Research limitations/implications The main limitation of the study is the small percentage of Islamic REITs sample due to limited period of observation available. However, the two Islamic REITs included are representative of Islamic REITs in Malaysia as both of them are listed in the Bursa Malaysia with asset size and market capitalization values more than RM1bn. Practical implications The results of this study may serve as a useful input for financial market players on making strategic business decisions especially with regards to differences between conventional and Islamic REITs characteristics. Originality/value The main contribution of this paper is to explore the relationship between REITs and macroeconomic factors on a unique capital market (Malaysia) that allows comparison between conventional and its Islamic counterpart.


2019 ◽  
Vol 14 (6) ◽  
pp. 99 ◽  
Author(s):  
Ahmad M. Al-Kandari ◽  
Sadeq J. Abul

The Kuwaiti Stock Exchange was established in April 1977 and is among the oldest stock exchanges in the GCC countries. This study aims to add new evidence about the impact of macroeconomic factors on the Kuwaiti Stock Exchange. It examines empirically the dynamic relationship between the Kuwaiti Stock Exchange Index and the main macroeconomic variables. These variables included M2, the three-month deposit interest rate, oil prices, the US Dollar vs Kuwaiti Dinar exchange rate and the inflation rate. By applying the Johansen cointegration test, together with the Var Error Correction Model (VECM), the study found that there a long-run unidirectional relationship exists between the Kuwaiti Stock Exchange Index and the aforementioned macroeconomic variables. This study also confirmed the existence of a short-run relationship between oil prices and stock prices in Kuwait.


2019 ◽  
Vol 8 (3) ◽  
pp. 2033-2038

This research paper, using monthly returns of macroeconomic variables, Nifty, and stock price from 3 sectors, examines the impact of macroeconomic determinants on Nifty and banking sector stocks from May 2009 to July 2018. The paper also analyses the granger cause between macroeconomic variables and Nifty; macroeconomic variables and Indian banking sector stocks. This paper also extends the research work in finding out the impact before and during Narendra Modi government. Johansen’s co-integration and granger causality tests were applied for this research work. The results of Johansen’s co-integration proved that there is a long relation between selected macroeconomic factors, i.e. bank rate, repo rate, and reverse repo rate, and Indian stock market and also on banking sector share price. There is granger cause before Modi Government and during Modi Government. It is concluded that, a positive significant relationship exists between macroeconomic determinants and Indian stock market.


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