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The Efficient Market Hypothesis, developed by Fama, is a market in which prices reflect the current information and where abnormal returns are not possible. In case the securities value reflects the information fully, the existence of the efficient market is mentioned. Within the framework of market mechanism, if these concepts are not sufficient, behavioral finance has emerged focusing on the effect on stock prices. A brand is a symbol, a name or a combination of a merchandise for distinguishing it from the like.Owning a brand is more than a logo or symbol.The brand covers the entire business and affects the perception of customers. Brand value is the value of the brand's name, symbol and reputation.. Thus, the arrangements within the company that can be useful within the company could be done in a timely manner. Creating a brand and brand value has been a powerful competitive tool for businesses.Brand Finance, covers Turkey's most valuable 100 brands. To measure the strength and value of these brands, it annually determines the value of the world's largest brands and publishes its ranking. In this research, the effects of the increase, decrease and constant brand power on the share prices of companies listed in the BIST 100 index in the list of Brand Finance Turkey 100 in the years 2012-2017 were analyzed. According to the findings, it is seen that the changes in brand ranking have an effect on market performance of firms.
  

This study analyses the impact of credit risk management on financial performance of commercial banks in Kosovo, and comparing the relationship between the determinants of credit risk management and financial performance by using CAMEL indicators. Panel data of 85 observations from 2008 to 2012 of ten commercial banks was analysed using multiple regression model. Findings through multiple regression analysis are presented in forms of tables and regression equations. The study also elaborates whether capital adequacy, asset quality, management efficiency, earnings and liquidity have strong or weak relationship with financial performance of commercial banks. The study concludes that CAMEL model can be used as a system of assessment and rating of credit risk management by commercial banks in Kosovo.

Application of IAS 41-Agriculture in developed countries contrast with agricultural  entities conditions in developing countries especially for Indonesia. The adoption of IAS 41 makes DSAK-IAI issue PSAK 69 Agriculture intended for agricultural entities so that they can measure and record related biological assets of a company. However, the application of PSAK 69 to agricultural companies also facing problems such as changes in accounting treatment especially for accounting method which are changed form historical value to fair value. The purpose of this study is to provide an overview of accounting treatment of biological asset in Jember plantation companies in state-owned plantation companies in Jember and Bondowoso regencies, namely PTPN 12 and PTPN 11 (PG Pradjekan). The methode used was descriptive qualitative. The researchs showed that differences in biological assets of each company can cause differences in the recording of biological assets. The differences between the two companies are in terms of plant type, plant age and costs incurred in each type of plant. However, in other cases, the accounting treatment of biological assets in PTPN 11 (PG Pradjekan) and PTPN 12 has similarity on recording biological assets at acquisition cost method. This study shows that currently both companies are still  used accounting records with a historical value approach that accumulates all costs incurred from the nursery process until the plants are transformed into yielding crops.
  

In the globalization and ASEAN Economic Community era, the competitiveness of Indonesian industries to sell goods and services is facing more severe challenges. It is partly due to the low performance of Indonesian logistics sector, and one of the contributing factors to the unsatisfactory logistics is poor logistics infrastructure. In this regard, this paper has several research objectives. The first is to analyze the performance of Indonesia logistics infrastructure in the past decade. The second is to analyze Indonesian logistics infrastructure development with its relevant fiscal policy support and evaluate its short-term progress. The research method adopted in this study is descriptive analytical method. In comparison with other countries, especially ASEAN region, the performance of Indonesian logistics infrastructure over the past decade tends to be steadily incompetitive, below the average of ASEAN countries. It is found to be one of the prime determinants of the high logistics costs in Indonesia. The government serious attention and the consistency of its policy towards improving logistics infrastructure during the 2014-2019 period has been partially seen, but the program sustainability is required in subsequent periods. In the short term, a temporary evaluation until 2017 of the sea toll program integrated with the construction of logistics infrastructure shows a positive impact. The positive impact is indicated from the decreasing prices of basic necessities in the eastern region of Indonesia by 20%-40%, and the economic revival of Eastern Indonesia region due to currently cheaper transportation costs.

Data quality in banking and financial sector is one of the most researched topics nowadays. With the increasing regulatory burden and increased importance of targeted sales, data quality directly influences funds and performance of banking system. In this paper, the author is aiming to define universal reasons and causes of data quality problem and apply the case to local Azerbaijani banks taking into account local managers’ personal view based on their banking experience. Key finding of the research is that unintegrated software, wrong data insertion, aging of data with the growing speed of market, corporate governance and inability to calculate true costs of low data quality to the local banks are the reasons of data quality issue in the local banks. Moreover, main costs of the data quality issue are time and money, appearance of hidden data factories, obstacles to apply and measure KPIs, uncorrelations in sensitivity analysis and ineffective marketing strategies.

The success of SMEs is determined by the business capital and able to give value added to the business more productively. Various financing pattern schemes for SMEs have been provided in various regions and all economic sectors. However, the development of SMEs credit is still concentrated in several regions in Indonesia this can lead to inequality in the growth of SMEs. This study aims to analyze the convergence of absolute beta and conditional beta in the Provinces in Indonesia and calculate the half-time or time required to achieve steady-state conditions of the SME credit convergence process. Convergence test used is beta conditional convergence and absolute convergence with the monthly time period during 2017.1 until 2017.7. The determinant of SMEs convergence of credit in Indonesia is a number of third-party funds. The model used is dynamic panel data regression and the estimation method used is Arellano-Bond Generalized Method of Moment (AB-GMM). The results of the study show that during the study period, there has been a convergence credit process in Indonesia for both absolute and conditional convergence models. The conditional beta-convergence model provides a smaller beta value than the absolute model. The speed of credit growth convergence between provinces in Indonesia with half-time of 6.94 months for the absolute model and the half-time of 6.96 months for the conditional model

Capital structure management is one of the most crucial corporate financial management functions in a firm since appropriate debt policy is reported to maximize the value of a firm. Kenya is ranked second in Africa after South Africa in regards to financial deepness. This means that the cost of debt should not have adverse effect financial performance. This observation raises fundamental question: does debt financing leads to poor financial performance in Kenya? This research sought to investigate the role of observed leverage on financial performance of listed non- financial firms in Kenya. The study tested capital structure theories and therefore adopted a positivists approach, guided by causal research design. The study population was 35 non-financial sub-sector firms out of the 65 firms listed at the NSE, Kenya. 18 firms were excluded in this study since they belong to banking and insurance sub-sectors, which have a highly regulated capital structure. Secondary data collection sheet was used to collect data for each of the variables from audited financial statements of the listed firms for a 10-year period (2006-2015). Panel regression analysis revealed that observed leverage measured by (LDR) had a significant positive coefficient with performance metrics. However, the leverage measure using TDR showed a negative and significant role on performance metrics. This study recommends that for listed firms to improve their financial performance, they should use more long-term debts than short-term debts.