Suharnomo Suharnomo

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.