This paper investigated some determining factors that influence Indonesia Sharia Stock Index (ISSI). Some macroeconomic variables are used as an independent variable such as central bank interest rates, inflation, currency exchange rate, and return rates of Bank Indonesia Sharia Certificates (SBIS). This study conducted the Error Correction Model (ECM)  to analyze times series data during October 2013 and September 2017. The findings showed that Indonesia Sharia Stock Index (ISSI) is influenced significantly and negatively by central bank interest rates in long term analysis. Similarly, in short term analysis, the central bank interest rates affect significantly and negatively on ISSI as well as the currency exchange rates. On the other hand, SBIS return rates and inflation are indicated to have a non-significant negative effect on ISSI. This study suggested that investors of ISSI consider Central Bank interest rates, inflation, rupiah exchange rates, and SBIS rates of return to predict the stock price so investors can make the right decisions in their investment policies. This paper also recommended the Indonesian Central Bank to effectively manage their monetary policy and promote ISSI as an alternative investment which is resistant by the negative effect of inflation in short term analysis.

Competition in small and medium-sized businesses (SMEs) is growing in the era of transition. As a result, these advances are putting pressure on the retail sector to find new and efficient solutions to boost retail and customer experience. Meanwhile, in Central Java, Indonesia, there is one specific SME type that is part of the nation's cultural heritage, namely Batik SME. This study aims to determine the effect of Intangible Assets and Innovation Orientation on the Competitive Advantages of Batik SMEs in Central Java, Indonesia. This study's method was an explanatory survey method with a type of decompression-verification study from primary data obtained from Batik SMEs and using PLS SEM in analyzing the data of the book. The results of this study indicate that Intangible Assets with Path coefficient (β) = 0.320, P value <0.001 (<α = 0.05), and Innovation Orientation with Path coefficient (β) = 0.28 P value <0.038 (<α = 0.05), have a positive effect on Competitive Advantage with coefficient (β) = 0.46, P value <0.001 (<α = 0.05). This result means that the better Intangible Assets would improve the Batik SME Competitive Advantage. Besides, the Orientation owned by Batik SME would increase the Competitive Advantage. Batik SME in Central Java should improve the quality of their Intangible Asset and Innovation Orientation to increase their Competitive Advantage.

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This study is an experimental test done on the secondary data of banking sector of Islamabad Stock Exchange for year 2017 and applied different techniques on the given data record by using Generalized Extreme Value Distribution (GEV), Gumble Distribution (GBL), Generalized Pareto Distribution (GPD), Exponential Distribution (EXP), Gamma Distribution (GAM), Weibull Distribution (WBL) on the data of four banks Habib Bank, Allied Bank, Bank Alfalah and Askari Bank. This data is concerning the closing quotations and returns of four banks registered in Islamabad Stock Exchange. We try to fit different distributions on the data and founnd the best fit distribution. We estimated the parameters of each distribution and also find the standard deviations of each distribution by using R Language and find which distribution is the best fit distribution on the basis of standard deviation distribution. We analyzed that shape wise GEV is the most suitable distribution, scale wise EXP distribution the best and location wise the best one is Gumbal distribution. This article shows that the overall GEV is the best distribution to model correctly the data.

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