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Introduction: Decision making is always based on several factors which may affect the possible outcomes, especially in financial markets. Instead of having many criteria which may be required for decision making, “Multiple Criteria Decision Making” (MCDM) models might be used as a tool to reduce all criteria into a single one.

Purpose: The aim of this study is to measure the financial performance of commercial banks listed on Borsa Istanbul (BIST) by the MCDM.

Method: To this end, data from 15 different financial ratios from 11 commercial banks were used between the periods of 2002 and 2018. Both TOPSIS and gray relational analysis (GRA) models were used, which are commonly used in the literature for detecting the financial performance of listed banks in BIST based on their consolidated financial statements.

Results: According to the TOPSIS method, while the best bank is QNB Finansbank, HALKB, a public bank, was determined as the best bank using the GRA method. There is no significant correlation between financial performance indicators and market returns obtained by either method, with exceptions. There is no generally significant correlation detected between financial ratios and market returns. Accordingly, it is concluded that the bank stock prices in the study are shaped by the influence of external factors and expectations. The study results include information that can be used for different purposes among bank managers, academics and financial investors.

Introduction: Financial failure is a concept that may arise from many internal and external factors such as operational, financial, and economic items and may incur serious losses. Over-indebtedness arising from managerial misjudgments may cause high financial distress, insufficiency, and bankruptcy. In this regard, determination of effects of capital structure decisions on financial failure risk is crucial.

Aim: The main purpose of this study is to explore the relationship between capital structure decisions and financial failure risk. For this purpose, data from Borsa İstanbul (BIST) for listed food and beverage companies for the period from 2004 to 2019 is used. Another purpose of this study is to compare the financial failure models considering capital structure theories.

Method: In the study, capital structure decisions are associated with five different financial ratios; while the financial failure risk is proxied by financial failure scores of Altman (1968), Springate (1978), Ohlson (1980), Taffler (1983), and Zmijewski (1984). Therefore, five different panel data models are used for testing these hypotheses.

Findings: The results of panel data analysis reveal that capital structure decisions have statistically significant effects on financial failure risk for all models; however, those effects vary from one financial failure model to another. Also, the results show that in the models in which financial failure risk is proxied by the Altman (1968) and Taffler (1983) scores, the aggressive financial policies increase the financial failure risk. However, regarding the models in which financial failure risk is proxied by the Springate (1978), Ohlson (1980), and Zmijewski (1984) scores, aggressive financial policies decrease the financial failure risk.

Originality of the Study: To the best of our knowledge, this chapter is original and important in terms of revealing the effects of capital structure decisions on the financial failure risk and comparing the financial failure models.

Implications: The results revealed that the risk of financial failure models represented by Altman (1968) and Taffler (1983) scores are found to be statistically stronger and more successful in meeting theoretical expectations compared to other models. Therefore, it would be more appropriate to refer Altman’s (1968) and Taffler’s (1983) financial failure models in financial failure risk measurements.

This study investigates the impact of simultaneously replacing both midday single-price call auction and lunch break with multi-price continuous trading on intraday volatility–volume patterns as well as the intraday volatility–volume nexus.

The analysis utilises 150 m tick-by-tick transaction data related to 333 stocks traded on Borsa Istanbul Equity Market covering a period of 2 months prior to and following the change. In addition to graphic comparisons, the study uses difference in mean tests, panel-fixed generalized least squares (GLS), panel-random GLS and random-effects linear models with AR(1) disturbance regression estimations.

The results show that intraday volatility and trading volume form an inverse J-shape and are positively correlated. It is observed that the implementation of the regulation change decreased intraday volatility and increased trading volume. Additionally, the results indicate a negative volatility–liquidity and a positive volume–liquidity relationship, supporting the mixture of distribution hypothesis.

Enhanced market efficiency provides greater opportunity for investment and risk management. Investors can benefit from the findings on the intraday volatility–volume nexus, which is an indicator of informed trading, and regulatory authorities can use volume to oversight volatility.

This very rare regulation change of the simultaneous replacement of the lunch break and midday call auction with continuous trading is investigated in the context of intraday volume and volatility. This study also expands upon some important findings on the volume–volatility nexus for the Turkish Stock Market.

The purpose of the study is to present evidence on the International Financial Reporting Standards (IFRS) adoption and earnings quality relationship on an emerging country context focusing on firm characteristics.

To measure loss avoidance, the earnings distribution approach is followed. Data includes all the nonfinancial firms listed on the Borsa İstanbul (BIST) for the period covering 1998–2010. The sample is divided into subsegments according to size and leverage, considering the potential impact of different financial reporting incentives. Furthermore, mandatory and voluntary adopters are examined separately.

The results indicate lower loss aversion in the post-IFRS period. Furthermore, we found that incentives dominate accounting standards in determining financial reporting quality. The decrease in loss aversion after IFRS adoption is more significant for large firms compared to small firms, low leverage firms compared to high leverage firms, and for mandatory IFRS adopter firms compared to voluntary IFRS adopters.

Research provides inconsistent evidence on the relationship between IFRS adoption and earnings quality. Turkey represents an interesting environment to test the impact of IFRS adoption, as the Turkish accounting system has followed a historical path from a Continental European accounting system to an Anglo-Saxon accounting system. The current Turkish accounting system exhibits features of both these systems. Additionally, IFRS adoption was optional in 2003 and mandatory in 2005 in line with EU regulations, and the changes in the reporting environment are supported by the regulatory developments and institutional changes in Turkey.

Introduction: Data of companies in the Informatics index between 2008 and 2017 fiscal years were analyzed. In the analysis, the following ratios were used as traditional performance evaluation criteria: Return on assets, return on equity, earnings per share, price to earnings ratio, market to book value ratio, and return on sales rate. In addition, economic value added (EVA) was also used. The companies in the Informatics index are divided into sub-sectors according to by field of activity. These sub-sectors are software, communication, and hardware marketing.

Aim: To analyze the power of traditional performance evaluation methods to explain the market value added (MVA).

Method: Regression analysis and autocorrelation tests were used as research methods. These were done with IBM SPSS Statistics 25.

Findings: Models and rates that explain the MVA with the most meaningful results were calculated. These models and ratios are as follows: For the software sub-sector, a market to book value ratio was 77.8%; for the hardware marketing sub-sector, earnings per share was 65.4%; for the communication sub-sector, a market to book value ratio was 92.5%. Market to book value was the independent variable that describes the best MVA value of the two sub-sectors.

Originality of the Study: In this study, the average of the values of all companies in the BIST Informatics Index is not taken. By dividing into sub-sectors, value deterioration from the sector difference is prevented. It is stronger in terms of statistical science.

Implications: Researchers can look for and model the relationship between traditional evaluation criteria and EVA or other value-based evaluation criteria in the same index or other indices.

Introduction – Emerging markets are under the influence of many external factors in global market conditions. International interest rates and price fluctuations in major stock market indices are also among these factors. The FED policies shape the international capital movements in particular, which significantly affects the emerging markets. For this reason, emerging stock markets may show different reactions especially in times of crisis.

Purpose – The purpose of this study is to investigate whether the BIST30 index acted in accordance with the overreaction hypothesis (ORH) against the return changes in the Dow Jones Industrial Average (DJIA) index in the process of the 2008 global financial crisis.

Methodology – The data set of the study was analysed by dividing it into two periods. The first period is the monetary expansion period between 17 August 2007, when the Federal Reserve (FED) reduced the interest rate for the first time, until 22 May 2013 when the FED announced that it would reduce the bond purchases. The second period is the monetary contraction period including the dates between 23 May 2013 and 1 June 2017. An error correction model (ECM) was established in both periods for the indices, determined as cointegrated. The validity of the ORH was tested by Cumulative Abnormal Return (CAR) Analysis.

Findings – According to the ECM, the authors identified that the effect of short-term changes in the DJIA return in the monetary expansion period on BIST30 index return was higher than that in the monetary contraction period. However, according to the findings obtained from the CAR analysis results, the BIST30 index did not generally act in accordance with the ORH against the DJIA. Findings can be appreciated as a decision-making tool especially for investment specialists and investors interested in securities investments.

In this information era, innovation is among the most important factors for an organization to increase its performance. In this chapter, it is explored how to improve the business innovation in organizations effectively by using suitable management strategies in an emerging economy selected as Turkey. Among many strategies set and implemented for the ease of innovation, in this chapter, it is revealed that some have more direct and efficient effects. Among these strategies and practices there exist, strategic and innovative human resource management, goal setting for innovation, supporting employee creativity, empowering employees for innovation, developing effective organizational communication, leading for innovation, building an innovative organizational culture and establishing teams for innovation. These practices are derived from the selected Borsa Istanbul (BIST) Companies in Turkey. Strategies of five companies which are indexed in BIST30 and BIST Sustainability Index, and additionally, which are all candidates of innovation leader in their sector, were taken as examples reflecting the innovative atmosphere in Turkey.

Social media (SM) networks offer a golden opportunity for firms that particularly engage in international activities to set up sustainable customer relationships and improve competitiveness. The purpose of this study is to examine the influence of SM adoption on the export intensity (EI) of firms listed on Borsa Istanbul (BIST) for the years 2010–2020. The authors use social media index (SMI) to measure SM adoption and firm size (FSize) as a moderator on exploring the interaction of SM and EI.

Using a sample of 150 firms listed on the BIST Industrials Index, this study explores how the adoption of SM affects EI by using panel data analysis over the period of 2010–2020.

The results indicate that the SMI has a positive and significant effect on the EI. FSize positively moderates the interaction of SMI and EI, indicating that large firms benefit more from the SM in increasing export performance. The findings reflect high potential of EI improvement through adopting right SM policies in emerging markets.

The sample covers only public companies listed on the BIST Industrials Index. Future studies may extend the coverage and include multiple emerging markets to draw generalized results for the export-oriented firms. This research also analyzes solely four SM networks, i.e. Facebook, Instagram, Twitter and YouTube. However, there are many other SM networks that firms use in online marketing in foreign markets. Finally, this research did not discuss the potential factors that could influence the use of SM in emerging market firms.

This study denotes the significant role of SM adoption on the EI of firms in an emerging market setting from the perspective of resource-based view. It presents an insightful approach in understanding the mission played by SM networks in enhancing the EI of Turkish firms. Policymakers may use the findings to develop public support programs to promote the adoption and implementation of the SM among exporting firms in emerging markets.

The study provides evidence on the effects of SM adoption on the EI from the perspective of emerging countries. It also helps to gain a deeper understanding of how different SM platforms contribute to the internationalization of firms.

Building on resource dependence theory and contingency theory (CT) and focusing on an emerging market setting, this study investigates how demographic board diversity (BD) influences the export intensity (EI) of firms listed on Borsa Istanbul (BIST), with the moderating effect of firm size, as a contingency factor, on this interaction.

Using a sample of 65 exporting firms listed on the BIST Industrials Index, this study explores how demographic attributes of board members, represented by the board diversity index (BDI), affects EI by employing panel data analysis over the period of 2016–2020.

The results suggest that there is a negative relationship between BD and EI, but firm size has a positive moderating effect on the association of BD and EI, indicating that large firms with diverse boards are more prone to access foreign markets and make export. The findings further indicate that board size and CEO duality have a negative and significant effect on EI, while marketing intensity has a positive and significant impact.

The sample covers only public companies listed on the BIST Industrials Index, and the impact of board characteristics on the EI is analyzed for a limited time frame, i.e. from 2016 to 2020.

The findings help business executives better understand the contribution of the firm size on the interaction of BD and EI and offers valuable insights to companies to gain a competitive edge in international markets.

The study provides evidence on the effects of board attributes on the EI from the perspective of emerging countries. It also helps to gain a deeper understanding of how board dynamics contribute to the internationalization of companies.

This paper aims to examine the effect of dividend policy on firm value for financial sector in an emerging country. Furthermore, it examines the moderating effect of IFRS adoption and the abolishment of mandatory dividend payment policy with considering the Lintner model of dividend smoothing.

Data were collected from 111 firms listed on Borsa Istanbul in the financial sector in Turkey over 1995–2017. Using an explanatory research design, this study performs various multivariate regression techniques to investigate the proposed relationships.

The outcomes demonstrate a positive and significant association between dividend policy and firm value. In addition, the relationship has strengthened after IFRS adoption, indicating that accounting information such as dividend-based ratios prepared under IFRS is more value relevant. The empirical outcomes supported the Lintner model, which is persistent with the signalling hypothesis. Moreover, the findings state that the abolishment of mandatory dividend payment in 2009 strengthened the association between dividend policy and firm value for financial institutions in Turkey.

These results provide an insight to the investors and managers that the effect of IFRS adoption and other policy changes could be greater on the association between dividend policy and firm value. The study empirically tests Lintner model of dividend smoothing for financial firms in an emerging economy.

This study contributes to the literature through providing vital insights on the relationship between dividend policy and firm value and empirically revisiting the Lintner model for financial sector in a developing economy, specifically Turkey. Furthermore, it addresses the influence of IFRS implementation on the association between dividend policy and firm value. These findings are robust to alternative sampling methods and to controlling for other factors which influence firm value.