Stock price in time series data can be analyzed with the clustering method by using the autocorrelation function distance measurement method. The purpose of this study is to cluster stock prices with the same characteristics and analyze companies’ financial performance in each cluster and provide a reference to investors in making choices to develop their investments. This study uses time-series data from stock prices in the LQ45 index, which is continuously available and registered from January 2010 to December 2019, as many as 32 companies. The results of this study are obtained 3 clusters, where the first cluster contains 17 stocks, the second cluster contains six stocks, and the third cluster contains nine stocks. After clustering, the financial performance of each cluster is analyzed in 2019. The companies’ financial performance in the first cluster shows that the company has proper inventories, total assets, profit for the period, and can get great benefits. The third cluster shows that the company has a relatively good current ratio and demonstrates its ability to generate profits from the high assets and equity used. Meanwhile, the second cluster has quite high receivables.
ASEAN total trade is an instrument to provide a brief description of the development of trade in each ASEAN country. In order to realize a cohesive and integrated ASEAN economy through the free flow of goods trade in 2025.The hierarchical cluster method for times series data of total trade is used to grouping ASEAN countries into three groups with strong similarities and characteristics to the annual total trade in goods from 2008-2017 from the ASEAN Statistical Yearbook 2018. The cluster analysis by distance corresponding to time series data is performed. The first cluster consist of Brunei Darussalam, Indonesia, Singapore, Malaysia, and Thailand which had a high enough total trade among other ASEAN countries. The second cluster consists of the Philippines. Furthermore, the third cluster consists of Cambodia, Vietnam, Laos, and Myanmar. The second cluster has medium total trade and the third cluster has a fairly low total trade compared to other ASEAN countries. The performance total trade clustering in ASEAN countries is expected to be able to see the situation of the development of goods trade in ASEAN countries, this situation must be considered by ASEAN policies in increasing trade in goods.
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