Predicting Movie Success Using Regression Techniques

This study aimed to obtain empirical evidence on the influence of fundamental factors, systematic risk and macroeconomics on the returns Islamic stock of companies incorporated in the Jakarta Islamic Index in 2010-2014. The variables used were the fundamental factors that are proxied by Earning Per Share (EPS), Return on Equity (ROE), Debt to Equity Ratio (DER); Systematic risk is proxied by Beta Shares; macroeconomic factors is proxied by the inflation rate and the exchange rate. The samples of this study are the enterprises incorporated in Jakarta Islamic Index (JII) at the Indonesian Stock Exchange. The sampling method was using purposive sampling. There were 12 samples of Islamic stocks that meet the criteria to be used as samples. The analysis model used is multiple linear regression techniques and the type of data used is secondary data. The study found that all variables, which are Earning Per Share (EPS), Return on Equity (ROE), Debt to Equity Ratio (DER), Beta stock, inflation and the exchange rate do not significantly affect the return of sharia stock either simultaneously or partially.

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Construction of a Historic Netherlands Property Index Using Repeated Measures Regression Techniques

10.15396/eres2002_130 ◽

2002 ◽

Cited By ~ 1

Keyword(s):

Repeated Measures ◽

Regression Techniques ◽

Property Index

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Commercial Development at Rural and Small-Town Interstate Exits

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1649-12 ◽

1998 ◽

Vol 1649 (1) ◽

pp. 95-104 ◽

Cited By ~ 3

Author(s):

David T. Hartgen ◽

Ji Youn Kim

Keyword(s):

Fast Food ◽

Small Town ◽

Local Market ◽

Network Access ◽

Commercial Development ◽

Gas Stations ◽

Trade Area ◽

Fast Food Restaurants ◽

Regression Techniques ◽

Site Competition

Commercial development at 63 rural and small-town Interstate exits is quantified and related to local market wealth, size, geography, access, traffic, site competition, and other development. Five development types (gas stations, convenience stores, fast food restaurants, sit-down restaurants, and motels) are studied. The geographic information system TransCAD 3.0 is used to determine network access and local trade area characteristics. Models are then estimated for each development type using classification and regression techniques separately and in combination. Model estimates are then compared with actual development. Results show that the relationships are complex, often nonlinear; and show high correlation between development types. The findings should be useful for planning exit land use, coordinating market assessments, determining the value of land, and assessing sites for business placement.

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