The shares carry a beta of 1.18, yet only 38 percent of their variance moves with the market, as GB550's Unit 5 risk and return analysis shows for the barge operator. Searches like "gb 550 unit 5 assignment example", "gb550 unit 5 sample" and "gb550 unit 5 example" land here.
What a finished GB550 Unit 5 risk and return analysis looks like
About five pages built on a summary table and a short portfolio section. Monthly returns over five years give the shares a mean of 0.92 percent and an annualized standard deviation of 29.8 percent; the market index shows 0.81 and 15.6. Correlation of 0.62 yields a beta of 1.18, but squared it says only 38.4 percent of the shares' variance moves with the market; the rest, a residual deviation near 23.4 percent, comes from river levels, grain exports and single contracts. Beta's standard error of about 0.20 puts a 95 percent band from 0.80 to 1.57. An adjusted beta of 1.12 is reported beside the raw figure. The capital asset pricing model, at a 4.4 percent risk-free rate and a 5.0 percent premium, requires 10.32 percent, or 10.02 on the adjusted beta.
How a GB550 Unit 5 example is structured
The analysis moves from total risk to the part the market pays for, and every step keeps the barge operator in view. A data section states the window, the index, the return frequency and the source, because a beta without them cannot be checked. Total risk comes first, with mean and standard deviation for both series. The regression section then reports beta, the correlation behind it and the share of variance it explains, followed by a paragraph naming what drives the rest. A portfolio section combines the shares with the index at 10, 25 and 50 percent weights, showing that portfolio deviation stays below the weighted average of the two. The pricing section converts beta into a required return, raw and adjusted, and a closing paragraph says which figure goes forward to the cost of capital and why.
Window and source stated
Sixty monthly returns against a broad index, ending with the most recent month, are named first so any reader could rerun the estimate.
Total risk, both series
A 29.8 percent deviation against the market's 15.6 shows how far the shares swing, before the paper asks how much of that swing matters to a diversified holder.
Beta and what it leaves out
Beta of 1.18 explains 38.4 percent of variance; low water, export demand and customer concentration account for the remainder, each named with an example.
Mixing with the index
Holding 25 percent in the shares gives a portfolio deviation of 17.33 percent, below the 19.15 a weighted average would suggest, because correlation is 0.62.
Raw or adjusted
Both 10.32 and 10.02 percent are shown, and the paper carries the raw figure forward while noting how wide the estimate's band really is.
Where marks go in GB550 Unit 5
Standard deviation offered as the whole measure of risk is where these analyses tend to part company with the rubric, since the unit usually wants the split between risk the market prices and risk diversification removes. Betas quoted from a website with no window, index or date cannot be checked and are often marked as unsupported. Required returns computed with the full market return where the premium belongs inflate every later figure. Portfolio arithmetic that averages deviations instead of combining them through correlation overstates portfolio risk and misses the point of the section. Papers that report beta to three decimals without acknowledging its standard error suggest more precision than sixty months provide. Interpretations framed as whether to hold the shares move outside the unit's question, which concerns what risk costs the firm.
Get a GB550 Unit 5 example written to your instructions
Upload the return data or the beta source your section uses, the company, the Unit 5 prompt and the rubric. What returns is an analysis that separates total from systematic risk, combines the shares with the market where the prompt allows, and prices beta into a required return. Initial custom samples cost nothing; allow roughly 24-48h.
GB550 Unit 5 questions, answered
Should I compute beta myself or use a published one?
Either can work, depending on the prompt. Computing it from monthly returns shows the method and lets you state the window; a published beta saves time but should be cited with its provider and date. The sample computes its own and would compare it with a published figure if one existed. Graders mainly want the choice stated and the source traceable.
What is an adjusted beta?
A raw estimate pulled partway toward 1.0, reflecting the tendency of betas to drift toward the market average over time. A common version weights the raw figure by two-thirds and 1.0 by one-third, which turns 1.18 into 1.12 in the sample. Some data providers report adjusted figures by default, so it matters which one a paper uses.
Why does most of the variance not count?
Because an investor holding many stocks sees firm-specific swings offset one another. A drought that strands barges hurts this company but barely moves a broad portfolio. The capital asset pricing model pays only for the part that moves with the market, which is why the sample's 29.8 percent deviation leads to a required return set by beta alone.