Beta = Covariance/Variance where: Covariance=A measure of an investment's return in relation to the market Variance is a measurement of how the market deviates from its mean.
Compute the beta for ABC Company stock ?
The standard deviation of returns for the asset could be divided by the standard deviation of returns for the benchmark to determine beta. The correlation between the security's returns and the benchmark's returns of 32.21 percent is multiplied to arrive at the final number.
Given that AAPL's beta of 0.6035 suggests the stock theoretically experiences 40 percent less volatility than SPY, AAPL would be regarded as being less volatile than SPY in this situation.
A stock with a beta greater than 1.0 fluctuates more than the market over time. A stock's beta is less than 1.0 if it moves less than the market. High-beta equities typically carry higher risks but also have a bigger potential reward. Although they carry less risk, low-beta equities often offer lesser returns.
Because of this, beta is frequently employed as a risk-reward ratio, which aids investors in deciding how much risk they are ready to accept in order to reap the potential rewards. It's crucial to take stock price volatility into account when determining risk. Beta is a useful proximate for risk if you view of risk as the likelihood that a stock would depreciate in value.
Beta = Covariance/Variance where: Covariance=A measure of an investment's return in relation to the market Variance is a measurement of how the market deviates from its mean.
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Explanation:
The journal entries are shown below:
1. Salaries expense A/c Dr $1,200 ($400 × 3 days)
To Salary payable A/c Dr $1,200
(Being the accrued salary is recorded)
The 3 days are calculated from December 28 to December 31
2. Salaries expense A/c Dr $4,400 ($400 × 11 days)
Salary payable A/c Dr $1,200
To Cash A/c $5,600
(Being the payment is recorded)
3. Now the adjusted balance of Salaries Payable is
= Salaries Payable before adjustment in 2015 + Adjusted balance
= $0 + $1,200
= $1,200
Answer:
For every $1.00 spent in manufacturing, another $2.79 is added to the economy
Explanation:
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