If a firm's beta was calculated as 1.6 in a regression equation, a commonly-used adjustment technique incorporating a weighting on long-run beta of 1.0 would provide an adjusted beta of

between 1 and 1.6

Explanation:

The Market Beta is 1.0 which is why in the long run, betas will equal 1 and so will move steadily towards 1 overtime.

The adjustment technique will therefore show a beta between 1 and 1.6 because the 1.6 will move on to 1 overtime.

To explain, the adjustment technique is as follows;

Adjusted beta = 2/3(sample beta) + 1/3(1)

= 2/3(1.6) + 1/3

= 1.4

The adjusted beta of 1.4 is between 1 and 1.6.

a manufacturer of printed circuit boards uses exponential smoothing with trend to forecast monthly demand of its product. at the end of december, the company wishes to forecast sales for january. the estimate of trend through november has been 200 additional boards sold per month. average sales have been around 1000 units per month. the demand for december was 1100 units. the company uses α = 0.20 and β = 0.10. make a forecast including trend for the month of january.