CFA Level I · CFA Level I Exam · Applications of Simple Linear Regression in Finance
A researcher finds that the residuals from a linear regression of company revenue on years since founding fan out and show a curved pattern, while revenue grows at a roughly constant percentage rate. The most appropriate remedy is to:
The best remedy is to use the natural log of revenue as the dependent variable, creating a log-lin model. Constant percentage growth is exponential, and taking logs makes it linear, which should reduce the curved, fanning residual pattern.
- Aadd an intercept dummy variable to the linear model
- Bre-estimate using the natural log of revenue as the dependent variableCorrect
- Cre-estimate using the natural log of years as the independent variable only
Explanation
Constant percentage growth implies exponential growth, which a log-lin model linearizes by taking the log of the dependent variable. Option C is a lin-log form and suits diminishing absolute effects, not constant growth rates. Option A does not address curvature.
Did you get it right without looking?
One question tells you little. A timed set on Applications of Simple Linear Regression in Finance shows your real accuracy, how long you take and where you lose marks.
More Applications of Simple Linear Regression in Finance questions
- A log-log regression of the quantity of a fund's units demanded on the fund's fee level gives ln(Quantity) = 5.2 − 1.4 × ln(Fee). Holding ot…
- An analyst regresses a stock's excess returns on market excess returns using 60 monthly observations. The estimated slope coefficient is 1.2…
- In a simple linear regression of a stock's excess returns on the market's excess returns, the sum of squares total (SST) is 80 and the sum o…
- An analyst estimates the regression ln(Y) = b0 + b1X, where X is the number of years since a firm's founding and Y is its revenue. This func…
- In a log-log regression of ln(quantity demanded) on ln(price), the estimated slope is -1.4. The slope is best interpreted as:
- A regression of a fund's returns on a benchmark's returns yields an intercept (alpha) of 0.9% with a t-statistic of 1.40. The critical t-val…