| dc.description.abstract | Economic conditions and the Indonesian business world today has evolved in an environment full of changes . In the area of capital each company should be able to obtain additional capital resources or funds which amount is not small . Capital market allows the company long-term sources of funding are relatively cheap from financial instruments in various securities ( securities ) . To invest in the stock market investors require careful considerations . Accurate information that is necessary to know the extent to which the close relationship variables that cause fluctuations in the company's stock price to be purchased . Knowing the influence of these variables , investors can choose a strategy for determining which companies are considered healthy , as a place to invest . The objective of this study is to analyze the dominant variable from the variables that affect the fundamental and technical banking stock price movements have been registered on the Stock Exchange and how to analyze the nature of the relationship and the fundamental variables and technically able to explain the variance ( movement pattern ) on the company's stock price banking - industry company that has been listed in BEI . Object of research is consistent entry in the bank LQ 45 period 2008-2012 . The data used for this study is a secondary data panel . Panel data (pooled data) is a combination of time series data over a period of five years ie from 2008 to 2012 with the data cross ( cross section ) of the five banks in the group LQ 45 in Indonesia Stock Exchange . The method used in this study is the SEM ( Structural Equation Modeling ) with 8.80 Lisrell tools. The results of this study indicate that there are eight independent variables have a effect significant partially on stock prices . These variables are the share sales volume, money supply, deposit interest rates, the exchange rate againts the US Dollar, return on investment, inflation rate, current ratio and the stock price . variable share sales volume has a positive direction and influence of the dominant . The coefficient of determination value ( Adjusted R Square) of 0.97 indicates that contribution of independent variables in explaining the pattern of change in the dependent variable ( stock price ) is quite good . | en |
