Answer:
Total variance= 391 unfavorable
Explanation:
Giving the following information:
Petrus Framing's cost formula for its supplies cost is $1,920 per month plus $11 per frame. For March, the company planned for activity of 632 frames, but the actual level of activity was 639 frames. The actual supplies cost for the month was $9,340.
Estimated= 1,920 + 639*11= 8,949
Real= 9,340
Total variance= real - estimated
Total variance= 9,340 - 8,949= 391 unfavorable
The process of buying an underpriced security and selling an equivalent overpriced security until the prices converge is known as arbitrage. This statement is true.
<h3>What Is Arbitrage?</h3>
The arbitrage approach, used in foreign exchange trading, allows investors to lock in profits by simultaneously buying and selling the same security, good, or currency on two different marketplaces. By using this strategy, traders can profit from the disparities in pricing for the same asset across the two different regions that are represented on each side of the trade.
Arbitrage is the practice of purchasing an underpriced security and selling an equivalently-priced asset until the prices converge. Trading on illegal insider knowledge may result in abnormal profits even if the efficient market theory is accurate in a semi-strong sense.
To know more about Arbitrage, refer:
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Answer:
money market account?
Explanation:
I'm not positive but you could try if nobody else has an answer haha
Answer:
TRUE
Explanation:
It is true that Patch management watches for the release of new updates from vendors, tests the patches, obtains approval, and then oversees the deployment and implementation of updates across the production environment.
Patch management can be defined as the process that helps acquire, test and install multiple patches (code changes) on existing applications and software tools on a computer, <u>enabling systems to stay updated </u>on existing patches and determining which patches are the appropriate ones.
A patch is a <u>set of changes to a computer program or its supporting data designed to update</u>, fix, or improve it; hence improving the functionality
Answer:
Standard deviation = 47.69% (Approx)
Explanation:
Given:
Portfolio of Apple stock w1 = 25% = 0.25
Portfolio of Tesla stock w2 = 75% = 0.75
Standard deviation return Apple σ1 = 35% = 0.35
Standard deviation return Tesla σ2 = 60% = 0.60
Correlation coefficient ρ12 = 0.22
Find:
Standard deviation
Computation:
Standard deviation = √w1²σ1² + w2²σ2² + 2w1σ1w2σ2ρ12
Standard deviation = 0.4769
Standard deviation = 47.69% (Approx)