Sugeng Wahyudi

Financial resources have become one of the funding policies considered by companies. The financial resources can come from internal and external sources. Leverage is used as one of the policies to get external source of funds. By using leverage, companies have additional funds that can be used for their operations and investments. When a company decided to use leverage as a financing policy, it is expected to get enough funds to finance its business. Raising the funds will lead to better company’s financial performance. However, on the other hand, by raising funds, the company also needs to consider the risks. Thus, leverage is related to risk. Then, risk is one of the considerations for investors to think about.
This research aims to examine the effect of risk leverage and hopefully can give illustration for investors in analyzing the risks of investors’ preferences. Besides, other variables used are size and profitability. These two variables are also the ground for considering risks. With pooled data analysis, this research was conducted on manufacturing companies listed on the Indonesia Stock Exchange during the five-year period from 2012 until 2016. The result shows that leverage, profitability and size have significant effects on risk.

This study aims to examine whether the Autoregressive Integrated Moving Average (ARIMA) model is appropriate to be applied in the Indonesia Stock Exchange, especially for the socially resposible investment stocks. For the ARIMA model combines the autoregressive and moving average method, so it is viewed as a useful tool to predict the stock prices. Those methods are frequently used methods to forecast the stock prices. The data used in this study were daily SRI-KEHATI Index during the period of June 8, 2009 to July 17, 2017. The results showed that the daily SRI-KEHATI Index data were not stationary data, thus this data needed to be transformed. The transformation was done by using the first seasonal differencing transformation process. After being transformed, those data became stationary. Furthermore, this study found that ARIMA (3,1,1) was a model, which might be appropriate and fit with the data condition. This method was also relevant to be applied in the Indonesia Stock Exchange in order to forecast the stock prices.

State-owned enterprises (SOEs) play a strategic role in the Indonesian economy. In Indonesia, SOEs have contributed around 16.41% for the Indonesian state budget. Many Indonesian state-owned enterprises (SOEs) have listed their stocks on the Indonesia Stock Exchange. However, the study on the performance of SOEs’ stocks is still relatively limited and tends to use indicators such as Sharpe Index, Treynor Ratio or Jensen Index. In addition to using indicators such as Sharpe Index, Treynor Ratio or Jensen Index, this study examines the performance of SOEs’ stocks using Adjusted Sharpe Index, Adjusted Jensen Index and Sortino Ratio that can measure the downside risk of those stocks. The objective of this study is to analyze the performance of the SOEs’ stocks in Indonesia. The sample in this research were 19 SOEs’ stocks listed on Indonesia Stock Exchange during the period from January 2013 until April 2019. The result of this research indicated that INAF (PT Indo Farma) stocks had the best performance when measured by using all measurement methods. The performing stocks came from the construction sector and the pharmaceutical sector. Therefore, investors are suggested to give more attention to SOEs from the pharmaceutical sector and the construction sector.

This study aims to contribute to the emergence of the literature focusing on exploring the factors influencing the financing decision, as well as examining the relationship between the firm size, profitability and firm growth towards the corporate debt. Questions such as how relevant firm size, profitability and firm growth to debt are, quantitatively, had not been fully answered in the business literature. The purpose of this study is to fill this large gap by examining the role of the firm size, profitability, investment and firm growth for the corporate debt. This study tries to examine the determinants of debt in the financial literature which include size, growth, business risk, and profitability in accordance with the capital structure theory, in manufacturing firms in Indonesia. The sample contained financial data from 150 firms for the period 2012–2017. The results showed that the manufacturing firms in Indonesia had high debt levels, especially the size, profitability, firm growth and profitability had proven to be the debt determinants, which also confirmed the Pecking Order Theory. This study also found that the management preference of manufacturing firms in Indonesia for risk was the risk-seeker or risk-neutral ones. This finding implies that the choice of funding sources originating from debt still provided greater returns compared to the capital cost needed due to business uncertainties.

This study aims to examine the effect of several variables such as profitability, firm size, asset structure, and commodity price (coal) on the capital structure with the debt to equity ratio (DER) as a proxy in the coal mining companies listed on the Indonesian capital market (i.e., the Indonesia Stock Exchange (IDX). The different results of previous studies related to the effect of some independent variables such as the firm size, profitability, asset structure, and dividend policy, such as dividend payout ratio to the DER, yield the research gaps that require further research. Data in this research were taken from the official public listed company’s annual reports on the IDX website. By employing the multiple regression techniques, this study found that only profitability and asset structure significantly affect the capital structure (proxied by DER). The effect of profitability was negative, while the effect of asset structure was positive. Based on these results, the managers may start considering re-balancing the use of external funds if the profitability level increases. Further, they also need to maintain the company’s asset structure and balance its’ fixed assets so that the capital structure is well maintained. In general, the findings supported the pecking order theory.