Paper Title
Social Media And Online News Correlation On The Performance Of Sector Indexes In Indonesia

Abstract
The purpose of this study is specifically identifying whether the sentiments of social media and online news have positive correlation on the performance of sector indexes in Indonesia. This study compiles public’s conversations in social media and the financial articles provided in online news about several companies or stocks during 3 months (January – March 2015), and then their sentiments will be measured by using developed keyword in Bahasa. The focuses on this study are only two sector indexes in Indonesia: financial sector (JKFINA) and infrastructure, utility, and transportation sector (JKINFA). The contribution made in this study is the data of each company are pooled into one sector, so the performance of sector indexes will be the outcome variable. The results of this study are (1) sentiments from social media and online news have positive correlation on the performance of sector indexes, (2) the correlation of social media’s sentiments is approximately similar with the online news’ sentiments, and (3) if both sentiments (social media and online news) are combined, they generate the stronger correlation. Keywords- social media, online news, performance of sector indexes, behavioral finance, sentiment analysis