This study aimed to examine the variables as determinant of Profit Distribution Management of theSharia Commercial Bank in Indonesia in the 2013-2016 periods. The variables studied consisted ofthe proportion of third party funds, the effectiveness of third party funds, the capital adequacy ratioand the ratio of operational costs to operating income. Samples were collected using purposivesampling technique. Data analysis technique used is multiple linear regression. The results showedthat the proportion of third party funds, the effectiveness of third party funds which was proxied byFinancing to Deposit Ratio (FDR) and Capital Adequacy Ratio (CAR) individually had a positiveand significant effect on Profit Distribution Management. In addition it was found that the ratio ofoperational costs to operating income (BOPO) had no significant effect on Profit DistributionManagement. The value of Adjusted R2 was 0,254 which means that variation of Profit DistributionManagement which can be explained by variable used in research was 25,4% while the rest equal to74,6% explained by other variables not used in the model of this research.

The aim of this study was to determine the effect of liquidity, profitability, leverage, operating capacity, and managerial agency costs on financial distress in manufacturing companies listed on Indonesia Stock Exchange. The research period used was 2015-2017. The type of this research was associative causal with quantitative approach. The population of this study includes all manufacturing companies listed on Indonesia Stock Exchange. The sampling technique used was purposive sampling, and obtained as many as 84 companies, consists of 42 companies that experienced financial distress, and 42 companies that didn’t experience financial distress as comparison company. Data analysis conducted through logistic regression. Based on this research, it was concluded that liquidity proxied by current ratio had no effect to financial distress. Profitability proxied by return on asset had no effect on financial distress. Leverage proxied by debt to asset ratio had a significant and possitiveeffect on financial distress. Operating capacity proxied with total asset turnover had no effect on financial distress. Managerial Agency costs had no effect on financial distress. The Nagelkerke R Square’s score in this study was 0.491 which means that the ability of liquidity, profitability, leverage, operating capacity, and managerial agency were able to explain the variable of financial distress condition by 49.1%. The remaining of 50.9% dependent variables were explained by other factors outside the model.

Subject and purpose of work: This paper explores whether herding behavior is formed according to the type of investor, how long the transmission of herding behavior occurs, and identifies how big the reaction of herding behavior is and how the flow of herding behavior connects between investors. Materials and methods: The population in this study are companies whose shares are listed in the LQ45 index list for the period January 2015 to December 2017 on the Indonesia Stock Exchange. To find out further about herding behavior, a VAR test will be conducted in this study. Results: The results of herding behavior analysis, based on the type of investor on the Indonesia Stock Exchange, show that there is herding behavior in each type of similar investor. Moreover, there is a certain period for the spread of herding behavior by type of shareholder. Conclusions: The most influential variables on the four types of successive investors are domestic institutional investors, individual foreigners, domestic individuals, and foreign institutions. The four types of investors respond differently to herding behavior.

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