Financial distress determinants among SMEs: empirical evidence from Sweden

2020 ◽  
Vol 47 (3) ◽  
pp. 547-560 ◽  
Author(s):  
Darush Yazdanfar ◽  
Peter Öhman
Keyword(s):  
Financial Crisis ◽  
Financial Distress ◽  
Large Scale ◽  
Global Financial Crisis ◽  
Binary Logistic Regression ◽  
Data Availability ◽  
Cross Sectional ◽  
Data Set ◽  
Content Type ◽  
The Global Financial Crisis

PurposeThe purpose of this study is to empirically investigate determinants of financial distress among small and medium-sized enterprises (SMEs) during the global financial crisis and post-crisis periods.Design/methodology/approachSeveral statistical methods, including multiple binary logistic regression, were used to analyse a longitudinal cross-sectional panel data set of 3,865 Swedish SMEs operating in five industries over the 2008–2015 period.FindingsThe results suggest that financial distress is influenced by macroeconomic conditions (i.e. the global financial crisis) and, in particular, by various firm-specific characteristics (i.e. performance, financial leverage and financial distress in previous year). However, firm size and industry affiliation have no significant relationship with financial distress.Research limitationsDue to data availability, this study is limited to a sample of Swedish SMEs in five industries covering eight years. Further research could examine the generalizability of these findings by investigating other firms operating in other industries and other countries.Originality/valueThis study is the first to examine determinants of financial distress among SMEs operating in Sweden using data from a large-scale longitudinal cross-sectional database.

Financial crisis and SME capital structure: Swedish empirical evidence

2019 ◽  
Vol 46 (4) ◽  
pp. 925-941 ◽  
Author(s):  
Darush Yazdanfar ◽  
Peter Öhman ◽  
Saeid Homayoun
Keyword(s):  
Financial Crisis ◽  
Capital Structure ◽  
Large Scale ◽  
Global Financial Crisis ◽  
Ordinary Least Squares ◽  
Data Availability ◽  
Cross Sectional ◽  
Content Type ◽  
The Global Financial Crisis

Purpose The purpose of this paper is to empirically examine capital structure determinants of small- and medium-sized enterprises (SMEs) during and after the global financial crisis. Design/methodology/approach Statistical methods, including ordinary least squares and the generalised method of moments, were used to analyse a sample of over 40,800 Swedish SMEs operating in four industries during the 2008–2015 period. Findings The results indicate that the independent variables – i.e. financial crisis, profitability, size, tangibility and industry affiliation – to various degrees explain changes in short-term debt (STD) and long-term debt (LTD) ratios. In particular, the empirical findings indicate that the sampled SMEs tended to rely more on STD and LTD during (2008–2009) than after (2010–2015) the financial crisis. Research limitations/implications Due to data availability, the current study is limited to a sample of Swedish SMEs in four industries covering eight years. Further research could examine the generalisability of these findings by investigating other firms operating in other industries and other countries. Originality/value This study is one of few examining determinants of short- and long-term SME debt during and after the global financial crisis, using data from a large-scale cross-sectional database.

The 2008–2009 global financial crisis and the cost of debt capital among SMEs: Swedish evidence

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Darush Yazdanfar ◽  
Peter Öhman
Keyword(s):  
Financial Crisis ◽  
Large Scale ◽  
Global Financial Crisis ◽  
Dynamic Panel Data ◽  
Cost Of Debt ◽  
Cross Sectional ◽  
Content Type ◽  
Debt Capital ◽  
Using Data ◽  
The Cost

PurposeThe main purpose of this study is to describe and analyse the relationship between the 2008–2009 global financial crisis and small and medium-sized enterprises' cost of debt capital.Design/methodology/approachStatistical methods, including multiple OLS and dynamic panel data, were used to analyse a longitudinal cross-sectional panel dataset of 3865 Swedish SMEs operating in five industry sectors over the 2008–2015 period.FindingsThe results suggest that the cost of debt was influenced by the financial crisis and another macroeconomic factor, i.e. the interbank interest rate, and by firm-specific factors such as firm size and lagged cost of debt.Originality/valueTo the authors' best knowledge, this is one of few studies to examine the cost of debt among SMEs during the crisis and post-crisis periods using data from a large-scale, longitudinal, cross-sectional database.

The Global Financial Crisis: what have we learned so far?

2015 ◽  
Vol 11 (2) ◽  
pp. 134-161 ◽  
Author(s):  
Karyn L. Neuhauser
Keyword(s):  
Financial Crisis ◽  
Large Scale ◽  
Global Financial Crisis ◽  
Financial System ◽  
Future Research ◽  
Financial Assets ◽  
Content Type ◽  
The Subject ◽  
The Global Financial Crisis ◽  
Number Of Citations

Purpose – The purpose of this paper is to provide a cohesive review of the major findings in the literature concerning the Global Financial Crisis. Design/methodology/approach – Papers published in top-rated finance and economics journal since the crisis up to the present were reviewed. A large number of these were selected for inclusion, primarily based on the number of citations they had received adjusted for the amount of time elapsed since their publication, but also partly based on how well they fit in with the narrative. Findings – Much has been done to investigate the causes of the Global Financial Crisis, its effects on various aspects of the financial system, and the effectiveness of regulatory measures undertaken to restore the financial system. While more remains to be done, the existing body of research paints an interesting picture of what happened and why it happened, describes the interrelationships between the mortgage markets and financial markets created by the large scale securitization of financial assets, identifies the problems created by these inter-linkages and offers possible solutions, and assesses the effectiveness of the regulatory response to the crisis. Originality/value – This study summarizes a vast amount of literature using a framework that allows the reader to quickly absorb a large amount of information as well as identify specific works that they may wish to examine more closely. By providing a picture of what has been done, it may also assist the reader in identifying areas that should be the subject of future research.

scholarly journals Inefficiency patterns in family-owned banks in Bangladesh

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mette Asmild ◽  
Dorte Kronborg ◽  
Tasmina Mahbub ◽  
Kent Matthews
Keyword(s):  
Financial Crisis ◽  
Business Models ◽  
Global Financial Crisis ◽  
Time Window ◽  
Management Practice ◽  
Data Set ◽  
Content Type ◽  
Empirical Results ◽  
The Difference ◽  
The Global Financial Crisis

PurposeMulti-directional efficiency analysis (MEA) is an alternative methodology to data envelopment analysis (DEA) that investigates the improvement potentials in each input and output dimension and identifies a benchmark proportional to these potential improvements. This results in a more nuanced picture of the sources of the inefficiency providing opportunities for additional conclusions about which variables the inefficiency is mainly located on. MEA provides insights into not only the level of the inefficiency but also the patterns within the inefficiency, i.e. its sources and location. This paper applies this methodology to Bangladeshi banks to understand the differences in the inefficiency patterns between different subgroups.Design/methodology/approachThis paper analyses the difference in the pattern of inefficiency between the older family-dominated banks and the newer non-family-owned banks in Bangladesh using the recently developed MEAs technology, which enables analysis of patterns within inefficiencies rather than only levels of (in)efficiency. The empirical results show that whilst there are few significant differences in the levels of variable-specific efficiency scores between the two subgroups, there are clearer differences on the inefficiency contributions from particular outputs in most of the study period and also on most variables in the time window of 2007–2009. This finding provides clues to differences in business models and management practice between the two types of banks in Bangladesh.FindingsThe empirical results show that whilst there are few significant differences in the levels of variable-specific efficiency scores between the two subgroups (older family-dominated banks and the newer non-family-owned banks), there are clearer differences on the inefficiency contributions from particular outputs in most of the study period and also on most variables in the time window of 2007–2009, during the Global Financial Crisis (GFCs). This finding provides clues to differences in business models and management practice between the two types of banks in Bangladesh.Practical implicationsDEA is a conventional tool for benchmarking in management science. However, conventional benchmarking exercises based on DEA do not reveal significant differences in the sources of inefficiency that show differences in business models. While DEA remains the most utilized technique in the efficiency literature, we think that a more flexible and deeper analysis requires something like MEA.Originality/valueThe contribution is twofold. First, examination of performances of family-owned firms is a well-established but analysis of performances of family-dominated banks is relative scarce. Secondly, isolating the sources of inefficiency which differs between types of banks even if there is no difference in inefficiency levels is absolutely new for a complete data set of conventional banks in Bangladesh. It turns out that there are few (significant) differences between the groups in terms of the inefficiency levels, whereas clear patterns emerge in terms of differences in inefficiency contributions between family-dominated and non-family-owned banks, during the Global Financial Crisis

scholarly journals Alternative measures for predicting financial distress in the case of Malaysian Islamic banks: assessing the impact of global financial crisis

2020 ◽  
Vol 11 (9) ◽  
pp. 1827-1845
Author(s):  
Mehmet Asutay ◽  
Jaizah Othman
Keyword(s):  
Financial Crisis ◽  
Financial Distress ◽  
Global Financial Crisis ◽  
Islamic Banks ◽  
Content Type ◽  
Macroeconomic Variables ◽  
Explanatory Variables ◽  
Alternative Funding ◽  
The Global Financial Crisis ◽  
The Impact

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.

scholarly journals Access to bank finance for UK SMEs in the wake of the recent financial crisis

2016 ◽  
Vol 22 (6) ◽  
pp. 903-932 ◽  
Author(s):  
Marc Cowling ◽  
Weixi Liu ◽  
Ning Zhang
Keyword(s):  
Financial Crisis ◽  
Small Business ◽  
Large Scale ◽  
Global Financial Crisis ◽  
Credit Rationing ◽  
Economic Downturn ◽  
Content Type ◽  
External Finance ◽  
Risk Rating ◽  
The Global Financial Crisis

Purpose The purpose of this paper is to investigate how entrepreneurs demand for external finance changed as the economy continued to be mired in its third and fourth years of the global financial crisis (GFC) and whether or not external finance has become more difficult to access as the recession progressed. Design/methodology/approach Using a large-scale survey data on over 30,000 UK small- and medium-sized enterprises between July 2011 and March 2013, the authors estimate a series of conditional probit models to empirically test the determinants of the supply of, and demand for external finance. Findings Older firms and those with a higher risk rating, and a record of financial delinquency, were more likely to have a demand for external finance. The opposite was true for women-led businesses and firms with positive profits. In general finance was more readily available to older firms post-GFC, but banks were very unwilling to advance money to firms with a high-risk rating or a record of any financial delinquency. It is estimated that a maximum of 42,000 smaller firms were denied credit, which was significantly lower than the peak of 119,000 during the financial crisis. Originality/value This paper provides timely evidence that adds to the general understanding of what really happens in the market for small business financing three to five years into an economic downturn and in the early post-GFC period, from both a demand and supply perspective. This will enable the authors to consider what the potential impacts of credit rationing on the small business sector are and also identify areas where government action might be appropriate.

Earnings management by top Chinese listed firms in response to the global financial crisis

2016 ◽  
Vol 24 (3) ◽  
pp. 226-251 ◽  
Author(s):  
Guanglu (Luke) Xu ◽  
Xudong Ji
Keyword(s):  
Financial Crisis ◽  
Earnings Management ◽  
Cash Flow ◽  
Global Financial Crisis ◽  
Ordinary Least Squares ◽  
Chinese Government ◽  
Data Set ◽  
Content Type ◽  
Listed Firms ◽  
The Global Financial Crisis

Purpose The main aim of this study was to examine the earnings management behaviours, including both accrual-based and cash flow-based earnings management, of Chinese firms during the Global Financial Crisis (GFC). Design/methodology/approach A data set of 1,392 firm-year observations derived from a large sample of China's top listed firms (based on total assets) was constructed and investigated via univariate and ordinary least squares regression analyses. Findings Two distinct conclusions can be drawn from the results of the study. First, the top Chinese listed firms did engage in earnings management, as indicated by comparisons of the means of the absolute values of both accrual-based and cash flow-based earnings management indicators in the periods before and after 2008 when the GFC started. Second, investigation of earnings management directions revealed that in response to the GFC, the firms from construction-related industries and the airline industry manipulated earnings upwards through either accrual-based and/or cash flow-based earnings management activities. On the other hand, firms in the household durables industry engaged in earnings-reducing activities. These findings reflect the effect of the stimulus package launched by the Chinese Government in an effort to combat the GFC. In addition, the results indicate that firm characteristics such as size, leverage, profitability and growth affected the earnings management behaviours of the firms analysed in the study. Originality/value The empirically derived findings of this study contribute to the literature pertaining to the effects of the GFC on earnings management practices in China, which has remained relatively scant to date.

Global financial crisis, ownership structure and firm financial performance

2017 ◽  
Vol 34 (4) ◽  
pp. 447-465 ◽  
Author(s):  
Ali Salman Saleh ◽  
Enver Halili ◽  
Rami Zeitun ◽  
Ruhul Salim
Keyword(s):  
Financial Crisis ◽  
Financial Performance ◽  
Ownership Structure ◽  
Family Firms ◽  
Global Financial Crisis ◽  
Ownership Concentration ◽  
Financial Leverage ◽  
Content Type ◽  
Crisis Period ◽  
The Global Financial Crisis

Purpose This paper aims to investigate the financial performance of listed firms on the Australian Securities Exchange (ASX) over two sample periods (1998-2007 and 2008-2010) before and during the global financial crisis periods. Design/methodology/approach The generalized method of moments (GMM) has been used to examine the relationship between family ownership and a firm’s performance during the financial crisis period, reflecting on the higher risk exposure associated with capital markets. Findings Applying firm-based measures of financial performance (ROA and ROE), the empirical results show that family firms with ownership concentration performed better than nonfamily firms with dispersed ownership structures. The results also show that ownership concentration has a positive and significant impact on family- and nonfamily-owned firms during the crisis period. In addition, financial leverage had a positive and significant effect on the performance of Australian family-owned firms during both periods. However, if the impact of the crisis by sector is taking into account, the financial leverage only becomes significant for the nonmining family firms during the pre-crisis period. The results also reveal that family businesses are risk-averse business organizations. These findings are consistent with the underlying economic theories. Originality/value This paper contributes to the debate whether the ownership structure affects firms’ financial performance such as ROE and ROA during the global financial crisis by investigating family and nonfamily firms listed on the Australian capital market. It also identifies several influential drivers of financial performance in both normal and crisis periods. Given the paucity of studies in the area of family business, the empirical results of this research provide useful information for researchers, practitioners and investors, who are operating in capital markets for family and nonfamily businesses.

How firms borrow in international bond markets

2018 ◽  
Vol 26 (1) ◽  
pp. 135-169
Author(s):  
Alberto Fuertes ◽  
Jose María Serena
Keyword(s):  
Emerging Economies ◽  
Design Methodology ◽  
Choice Behavior ◽  
Global Financial Crisis ◽  
Securities And Exchange Commission ◽  
Bond Markets ◽  
Data Set ◽  
Content Type ◽  
Parametric Analyses ◽  
The Global Financial Crisis

Purpose This paper aims to investigate how firms from emerging economies choose among different international bond markets: global, US144A and Eurobond markets. The authors explore if the ranking in regulatory stringency –global bonds have the most stringent regulations and Eurobonds have the most lenient regulations – leads to a segmentation of borrowers. Design/methodology/approach The authors use a novel data set from emerging economy firms, treating them as consolidated entities. The authors also obtain descriptive evidence and perform univariate non-parametric analyses, conditional and multinomial logit analyses to study firms’ marginal debt choice decisions. Findings The authors show that firms with poorer credit quality, less ability to absorb flotation costs and more informational asymmetries issue debt in US144A and Eurobond markets. On the contrary, firms issuing global bonds – subject to full Securities and Exchange Commission requirements – are financially sounder and larger. This exercise also shows that following the global crisis, firms from emerging economies are more likely to tap less regulated debt markets. Originality/value This is, to the authors’ knowledge, the first study that examines if the ranking in stringency of regulation – global bonds have the most stringent regulations and Eurobonds have the most lenient regulations – is consistent with an ordinal choice by firms. The authors also explore if this ranking is monotonic in all determinants or there are firm-specific features which make firms unlikely to borrow in a given market. Finally, the authors analyze if there are any changes in the debt-choice behavior of firms after the global financial crisis.

Financial Early Warning System for Risk Detection and Prevention from Financial Crisis

Data Mining ◽  
2013 ◽  
pp. 1559-1590
Author(s):  
Nermin Ozgulbas ◽  
Ali Serhan Koyuncugil
Keyword(s):  
Financial Crisis ◽  
Early Warning ◽  
Financial Distress ◽  
Business Performance ◽  
Global Financial Crisis ◽  
Stock Exchange ◽  
Warning System ◽  
Chi Square ◽  
Risk Detection ◽  
The Global Financial Crisis

Risk management has become a vital topic for all enterprises especially in financial crisis periods. All enterprises need systems to warn against risks, detect signs and prevent from financial distress. Before the global financial crisis that began 2008, small and medium-sized enterprises (SMEs) have already fought with important financial issues. The global financial crisis and the ensuring flight away from risk have affected SMEs more than larger enterprises When we consider these effects, besides the issues of poor business performance, insufficient information and insufficiencies of managers in finance education, it is clear that early warning systems (EWS) are vital for SMEs for detection risk and prevention from financial crisis. The aim of this study is to develop and present a financial EWS for risk detection via data mining. For this purpose, data of SMEs listed in Istanbul Stock Exchange (ISE) and Chi-Square Automatic Interaction Detector (CHAID) Decision Tree Algorithm were used. By using EWS, we determined the risk profiles and risk signals for risk detection and road maps for risk prevention from financial crisis.

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