Does accounting details play an allocative role in predicting macroeconomic indicators? Evidence of Bayesian and classical econometrics in Iran

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahdi Salehi ◽  
Ali Daemi Gah ◽  
Farzana Akbari ◽  
Nader Naghshbandi
Keyword(s):  
Predictive Power ◽  
Positive Impact ◽  
Stock Exchange ◽  
Firm Level ◽  
Bayesian Approaches ◽  
Content Type ◽  
Earnings Growth ◽  
Related Data ◽  
Level Data ◽  
Macroeconomic Indicators

Purpose The purpose of this study is to analyze the predictability of firm level data for determining macroeconomic indicators such as unemployment. Design/methodology/approach This study uses quarterly GDP and unemployment data manually collected from the Statistical Center of Iran (SCI). Accounting numbers are also collected from the Tehran Stock Exchange library for the 2004-2015 period. Dispersion of earnings growth provides related data about labour reallocation, unemployment change and finally aggregate output. To summarize, this study attempts to examine the effect of these variables using classical and Bayesian approaches. Findings At a firm level, our results suggest that sectoral shift in previous years is likely to increase labour reallocation in subsequent years. At the macro level, the results reveal that dispersion of earnings growth and labour reallocation has a negative and positive impact on unemployment changes, respectively. However, the study suggests no significant relationship between stock return and unemployment changes. Consequently, we determine that the real estimates of macroeconomic indicators have predictive power because nominal estimates are not statistically associated with firm-level details. Finally, the results obtained from classical and Bayesian approaches suggest similar findings, thus confirming the robustness of our conclusions. Note that, based on Bayesian approach, the nominal reallocation has predictive power in unemployment rate. Originality/value The study is the first conducted in a developing country and the results provide important insight into current line of accounting literature.

The determinants of ESG in the banking sector of MENA region: a trend or necessity?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rim El Khoury ◽  
Nohade Nasrallah ◽  
Bahaaeddin Alareeni
Keyword(s):  
Banking Sector ◽  
Negative Impact ◽  
Positive Impact ◽  
Mena Region ◽  
Firm Level ◽  
Content Type ◽  
Country Level ◽  
Driving Mechanisms ◽  
Level Data ◽  
Level Of Economic Development

Purpose As reporting environmental, social and governance (ESG) information is not yet mandatory in all countries, it is intriguing to understand ESG’s underlying driving mechanisms. This study aims to investigate ESG determinants in the banking sector of the Middle East and North Africa countries. Design/methodology/approach The authors gather data for 38 listed banks for the period 2011–2019. The data used is threefold as follows: data related to ESG; firm-level; and country-level data. While ESG and firm’s level data are taken from Refinitiv, country-level data are extracted from the World Bank. Using panel regression, the authors test the effect of firm- and country-specific variables on the overall ESG score and its pillars. Findings Results indicate that banks’ ESG scores are negatively affected by performance and positively affected by size. The level of economic development exerts a negative impact on the environmental pillar while the social development exerts a positive impact on ESG and governance pillar. Corruption is the only country-level that gathers a homogenous effect on ESG scores. Finally, the three pillars follow heterogeneous patterns. Originality/value This study extends the scope of previous studies by introducing new country-level independent variables to contribute to the understanding of ESG antecedents.

scholarly journals Bank concentration and SME financing availability: the impact of promotion of financial inclusion in China

2020 ◽  
Vol 38 (6) ◽  
pp. 1329-1349
Author(s):  
Zhiqiang Lu ◽  
Junjie Wu ◽  
Jia Liu
Keyword(s):  
Positive Impact ◽  
Substitution Effect ◽  
Financial Inclusion ◽  
Firm Level ◽  
Content Type ◽  
Level Data ◽  
The Impact ◽  
The Relationship ◽  
Bank Concentration ◽  
Sme Financing

PurposeThe promotion of financial inclusion can disturb the composition of traditional bank concentration and change the relationship between bank concentration and the availability of small and medium-sized enterprise (SME) financing. This paper concentrates on a less frequently explored area of research by examining the relationships between bank concentration, financial inclusion and SME financing availability respectively, and the interaction between bank concentration and financial inclusion after the implementation of a financial inclusion strategy in China.Design/methodology/approachUsing firm-level data from 1,509 listed SMEs in China from 2007 to 2017 and applying rigorous analyses, we identify how bank concentration affects SME financing availability under the promotion of financial inclusion and also the mechanisms involved.FindingsWe find that bank concentration and financial inclusion respectively have positive impacts on the credit available to listed SMEs, indicating that the promotion of financial inclusion in China has reached a new high watermark. The positive impact of bank concentration is reduced when the level of financial inclusion is high. Conversely, a higher level of financial inclusion favours SME credit availability at only a low degree of bank concentration. Our findings suggest that financial inclusion has a substitution effect on bank concentration and has enabled us to add new interpretations to relevant theories; namely, the Market Power and Information Theories respectively.Originality/valueThis study provides new insights into the relationship between bank concentration and SME finance availability under the promotion of financial inclusion.

Are female leaders more efficient in family firms than in non-family firms?

2018 ◽  
Vol 18 (2) ◽  
pp. 185-205 ◽  
Author(s):  
Per-Olof Bjuggren ◽  
Louise Nordström ◽  
Johanna Palmberg
Keyword(s):  
Family Firms ◽  
Positive Impact ◽  
Female Leadership ◽  
Female Leaders ◽  
Firm Level ◽  
Content Type ◽  
Corporate Leaders ◽  
Listed Firms ◽  
Level Data ◽  
The Impact

Purpose The aim of this study is to investigate whether female leaders are more efficient in family firms than in non-family firms. Design/methodology/approach This paper uses a unique database of ownership and leadership in private Swedish firms that makes it possible to analyze differences in firm performance due to female leadership in family and non-family firms. The analysis is based on survey data merged with micro-level data on Swedish firms. Only firms with five or more employees are included in the analysis. The sample contains more than 1,000 firms. Findings The descriptive statistics show that there are many more male than female corporate leaders. However, the regression analysis indicates that female leadership has a much more positive impact on the performance of family firms than on that for non-family firms, where the effect is ambiguous. Originality/value Comparative studies examining the impact of female leadership on firm-level performance in family and non-family firms are rare, and those that exist are most often either qualitative or focused on large, listed firms. By investigating the role of female directors in family and non-family firms, the study adds to the literature on management, corporate governance and family firms.

scholarly journals The herding behaviour on Pakistan stock exchange – using firm-level data

2020 ◽  
Vol 10 (1) ◽  
pp. 71
Author(s):  
Attaullah Shah ◽  
Naimat U. Khan ◽  
Fasiha Kiran
Keyword(s):  
Stock Exchange ◽  
Firm Level ◽  
Level Data ◽  
Firm Level Data

Transactional dynamics in European R & D networks: an assessment of Eureka

2015 ◽  
Vol 18 (3) ◽  
pp. 330-354
Author(s):  
Bruno Brandão Fischer ◽  
José Molero
Keyword(s):  
Transaction Costs ◽  
Transaction Cost Economics ◽  
Empirical Support ◽  
Research Area ◽  
Dynamic Interactions ◽  
Firm Level ◽  
Content Type ◽  
Dynamic Framework ◽  
Level Data ◽  
Ex Ante

Purpose – The purpose of this paper is to verify the impacts of the transaction costs rationale on economic agents’ innovative results when they engage in European R & D networks, supplying both firms and policymakers with empirical support for improved decision making toward economic competitiveness and construction of the European research area. Furthermore, unlike many transaction cost economics assessments, the authors evaluate the existence of transaction costs following a dynamic framework of analysis (instead of using solely ex ante governance choice as a driver of inter-firm “friction” management), offering a novel perspective on these phenomena. Design/methodology/approach – Data consist of firm-level information from Eureka’s Final Reports (1995-2006) for Spanish, Italian, French, British and German firms. Empirical assessments were performed through a two-step approach of direct and indirect effects of network management and potential sources of disturbances. Ordinal regressions were applied in order to identify transaction costs’ relevance as drivers of firms’ technological and commercial outcomes, as well as on managerial quality of alliances. Statistical controls include microeconomic and project-specific variables. Findings – Results highlight the role played by transactional aspects as drivers of companies’ outcomes and managerial complexity. Furthermore, the authors find robust evidence that formal ex ante governance structures are incapable of satisfactorily addressing dynamic disturbances that take place within R & D networks. Whereas such findings are directly related to existing transaction costs, the authors find no support for the usual variables attributed to increased complexity in international inter-firm relationships. Research limitations/implications – Self-selection issues are inherently related to the research instrument (i.e. Eureka’s Reports), while further firm-level data could not be obtained since confidentiality issues protected companies’ names and sectors. Also, network-level data are not available, allowing the evaluation of individual perceptions only. Originality/value – While literature addresses the issue of transaction costs in R & D networks via theoretical assumptions and rough proxies, this assessment offers an in-depth evaluation of a set of valuable indicators with direct implications for researchers, managers and policymakers. Main contributions concern the identification of dynamic interactions (and their respective disturbances) as a key feature of the overall performance of R & D networks, stressing the non-linearity of economic processes in these hybrid relationships, an issue that has been poorly tackled by previous empirical investigations.

Investors overconfidence behaviour at Bombay Stock Exchange

2018 ◽  
Vol 14 (5) ◽  
pp. 613-632 ◽  
Author(s):  
Venkata Narasimha Chary Mushinada ◽  
Venkata Subrahmanya Sarma Veluri
Keyword(s):  
Private Information ◽  
Trading Volume ◽  
Negative Impact ◽  
Stock Exchange ◽  
Public Information ◽  
Response Analysis ◽  
Content Type ◽  
Daily Data ◽  
Level Data ◽  
Attribution Bias

PurposeThe purpose of the paper is to empirically test the overconfidence hypothesis at Bombay Stock Exchange (BSE).Design/methodology/approachThe study applies bivariate vector autoregression to perform the impulse-response analysis and EGARCH models to understand whether there is self-attribution bias and overconfidence behavior among the investors.FindingsThe study shows the empirical evidence in support of overconfidence hypothesis. The results show that the overconfident investors overreact to private information and underreact to the public information. Based on EGARCH specifications, it is observed that self-attribution bias, conditioned by right forecasts, increases investors’ overconfidence and the trading volume. Finally, the analysis of the relation between return volatility and trading volume shows that the excessive trading of overconfident investors makes a contribution to the observed excessive volatility.Research limitations/implicationsThe study focused on self-attribution and overconfidence biases using monthly data. Further studies can be encouraged to test the proposed hypotheses on daily data and also other behavioral biases.Practical implicationsInsights from the study suggest that the investors should perform a post-analysis of each investment so that they become aware of past behavioral mistakes and stop continuing the same. This might help investors to minimize the negative impact of self-attribution and overconfidence on their expected utility.Originality/valueTo the best of the authors’ knowledge, this is the first study to examine the investors’ overconfidence behavior at market-level data in BSE, India.

Sponsor ownership and IPO initial return: evidence from Pakistan stock exchange

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Waqas Mehmood ◽  
Rasidah Mohd-Rashid ◽  
Abd Halim Ahmad ◽  
Saqib Amin
Keyword(s):  
Initial Public Offering ◽  
Positive Impact ◽  
Stock Exchange ◽  
Point Of View ◽  
Least Square ◽  
Content Type ◽  
Interaction Variable ◽  
Regulatory Changes ◽  
Initial Return ◽  
Regulation Changes

Purpose The purpose of this paper was to examine whether or not the sponsor lock-up ratio, lock-up period, regulation changes and interaction variable (oversubscription [OSR]) affected initial public offering (IPO) initial return. Design/methodology/approach A complete sample of 111 listed IPOs in Pakistan stock exchange from 1996 to 2018 was incorporated. Based on the cross-section data, this paper estimated using ordinary least square and quantile least square for robustness. In addition to that, this paper estimated the data using stepwise least square to inspect the signalling aspect of the lock-up ratio, lock-up period and regulation changes on IPO initial return. Findings This study showed that the lock-up ratio, lock-up period and regulatory changes had a positive impact on the IPO’s initial return. Furthermore, the assertion of interaction variable (regulation changes × OSR) and (lock-up period × OSR) was a negatively significant factor in influencing the IPO’s initial return. The results of this paper were robust to endogeneity bias. Practical implications The finding of this study proposed that sponsors of IPOs can be a strong signal of risk or quality, which was consistent with the signalling theory prediction. Concurrently, investors must be aware of the total proportions of lock-up ratio so that they can estimate the chances of getting the highest initial return on IPOs. From the regulators’ point of view, it is suggested that the lock-up ratio and the lock-up period should be determined with a deeper understanding and incorporated into the equity guidelines as it is evident that these factors are priced by the market. Originality/value Studies on the effect of sponsors have always been centred on well-recognized firms. Therefore, using the IPO samples listed in Pakistan, this paper contributes to the IPO literature by investigating the lock-up ratio of the sponsor, the lock-up period and the regulatory changes to the initial IPO return. Additionally, OSR has been introduced as an interaction variable among the sponsors’ lock-up period and regulations changes to explain the ongoing IPO initial return phenomenon.

Accounting conservatism and money laundering risk

2020 ◽  
Vol 33 (2) ◽  
pp. 343-361
Author(s):  
Meysam Bolgorian ◽  
Ali Mayeli
Keyword(s):  
Money Laundering ◽  
Stock Exchange ◽  
Risk Measure ◽  
Negative Relationship ◽  
Accounting Conservatism ◽  
Firm Characteristics ◽  
Firm Level ◽  
Content Type ◽  
Listed Firms ◽  
Specific Effects

Purpose This paper aims to investigate the relationship between accounting conservatism and money laundering risk. For this goal, the authors construct an index for measuring money laundering risk at the firm level for Iranian listed firms in the Tehran Stock Exchange. Design/methodology/approach In this study, the authors use a sample of 924 firm-year observation of Iranian listed firms for the period of 2012-2017. The authors use three approaches for testing our prediction that more conservative firms are less likely to be involved in money laundering activities. A balanced panel regression model has been used for testing the prediction. Findings The paper results suggest that there is a negative relationship between conditional conservatism and money laundering risk. Furthermore, the authors have shown that the result is robust to controlling for different firm characteristics variables and also industry specific effects. Research limitations/implications Further research in other financial markets is needed to confirm the results generally. Practical implications The evidence in this paper indicates that the degree of accounting conservatism contains important information which can be used by the investors and regulators for managing and controlling the risk of money laundering in the firms. Originality/value By constructing a money laundering risk measure at the firm level for the first time, the authors provide evidence on relationship between conservatism and money laundering risk in Iran.

Corporate tax planning and corporate tax disclosure

2019 ◽  
Vol 28 (2) ◽  
pp. 327-364
Author(s):  
Mahfoudh Hussein Mgammal
Keyword(s):  
Positive Impact ◽  
Positive Influence ◽  
Tax Planning ◽  
Corporate Tax ◽  
Effective Tax Rate ◽  
Firm Level ◽  
Data Set ◽  
Content Type ◽  
The Impact ◽  
Practical Implications

Purpose This paper aims to examine the impact of corporate tax planning (TP) on tax disclosure (TD). Using tax expenses data set, with the detailed effective tax rate (ETR) by reconciling individual items of income and expenses. Design/methodology/approach A firm-level panel data set is used to analyse 286 non-financial listed companies on Bursa Malaysia that spans the period 2010-2012. Multivariate statistical analyses were run on the sample data. The empirical understanding of TD depends on public sources of data in the financial statement, characterized in the aggregated note of tax expenses. Fitting with Malaysian environment, the authors measured TD using modified ETR reconciling items. Findings Results show that TP, exhibit a robust positive influence on TD. This suggests that TP is related to lower corporate TD. In addition, companies with high TP attempt to mitigate the disclosure problem by increasing various TD. The authors further find significant positive impact between each of firm size and industry dummy, on TD. This means that company-specific characteristics are significant factors affecting corporate TD. Research limitations/implications This study contributes to the literature on the effect of TP on TD. It depends on both the signalling theory and the Scholes–Wolfson framework, which are the main theories concerned with TP and TD. Therefore, from a theoretical side, the authors add to the current theories by verifying that users are the party influenced whether positively or negatively, by the extent of TD or the extent of TP activities through Malaysian organizations. Practical implications The evidence found in this paper has important policy and practical implications for the authorities, researchers, decision makers and company managers. The findings can provide them some relevant insights on the importance of TP actions from companies’ perspective and contribute to the discussion of who verifies and deduces from TD directed by companies. Originality/value This paper originality is regarded as the first attempt to examine the impact of TP on TD in a developing country such as Malaysia. Malaysian setting is an interesting one to examine because Malaysia could be similar to other countries in Southeast Asia. Results contribute significant insights to the discussion about TD regarding, which parties are responsible for the verification of TD by firms, and which parties benefit from this disclosure. Findings suggest that companies face a trade-off between tax benefits and TD when selecting the type of their TP.

Is disposition related to momentum in Chinese market?

2015 ◽  
Vol 41 (6) ◽  
pp. 600-614 ◽  
Author(s):  
Liu Liu Kong ◽  
Min Bai ◽  
Peiming Wang
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Disposition Effect ◽  
Chinese Stock Market ◽  
Momentum Effect ◽  
Chinese Market ◽  
Firm Level ◽  
Content Type ◽  
Level Data ◽  
The Relationship

Purpose – The purpose of this paper is to examine whether the framework of Prospect Theory and Mental Accounting proposed by Grinblatt and Han (2005) can be applied to analyzing the relationship between the disposition effect and momentum in the Chinese stock market. Design/methodology/approach – The paper applies the methodology proposed by Grinblatt and Han (2005). Findings – Using firm-level data, with a sample period from January 1998 to June 2013, the authors find evidence that the momentum effect in the Chinese stock market is not driven by the disposition effect, contradicting the findings of Grinblatt and Han (2005) concerning the US stock market. The discrepancies in the findings between the Chinese and US stock markets are robust and independent of sample periods. Research limitations/implications – The findings suggest that Grinblatt and Han’s model may not be applicable to the Chinese stock market. This is possibly because of the regulatory differences between the two stock markets and cross-national variation in investor behavior; in particular, the short-selling prohibition in the Chinese stock market and greater reference point adaptation to unrealized gains/losses among Chinese compared to Americans. Originality/value – This study provides evidence of the inapplicability of Grinblatt and Han’s model for the Chinese stock market, and shows the differences in the relationship between disposition effect and momentum between the Chinese and US stock markets.

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