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• for calculation correlation degree between comprehensive income and price<br />

per share, the independent variable is the comprehensive income per share<br />

and the dependent variable is the price per share (Annex 3).<br />

The price per shares for the entities under study was taken from the site of the London<br />

Stock Exchange (www.londonstockexchange.com). Basic earning per share for the<br />

2009 financial year was taken from income statement. Total comprehensive income<br />

per share was calculated by relating total comprehensive income to the number of<br />

shares. The values for total comprehensive income, net income, total other<br />

comprehensive income and for each element of other comprehensive income (changes<br />

in revaluation surplus, actuarial gains and losses on defined benefit plans, gains and<br />

losses arising from translating the financial statements of a foreign operation, gains<br />

and losses on remeasuring available-for-sale financial assets, the effective portion of<br />

gains and losses on hedging instruments in a cash flow hedge, tax relating to<br />

components of other comprehensive income) were taken from the statement of<br />

comprehensive income.<br />

In order to show how much the change of the basic earning per share or the<br />

comprehensive income per share influences the stock market we used the simple<br />

regression model. The simple regression analysis which assesses the possibility of a<br />

link between two variables, we make by Regression fonction in EXCEL.<br />

In order to show to what extent the change of the basic earning per share influences<br />

the price per share we named the function:<br />

YNI= a + bXNI<br />

where:<br />

YNI – price per share (dependent variable)<br />

XNI – basic earning per share (independent variable)<br />

a, b – parameters for the simple regresion between market stock and basic<br />

earning per share<br />

In order to show to what extent the change of the comprehensive income per share<br />

influences the price per share we named the function:<br />

YCI = α + βXCI<br />

where:<br />

YCI – price per share (dependent variable)<br />

XCI – comprehensive income per share (independent variable)<br />

α,β – parameters for the simple regresion between market stock and<br />

comprehensive income per share<br />

~ 975 ~

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