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butalik [34]
3 years ago
10

A portfolio with a beta of 1.26

Business
1 answer:
Vanyuwa [196]3 years ago
7 0

Answer:

The answer is C: is considerably more risky than the overall market.

Explanation:

The beta of a portfolio is the weighted sum of the individual asset betas, According to the proportions of the investments in the portfolio. A beta of “1” indicates that its volatility is like the benchmarks. A number higher than “1” indicates more volatility, while lower numbers indicate more price stability. Diversification can help make your portfolios less volatile, allowing you to see steady growth without seeing wild swings in the value of your savings.

A zero-beta portfolio is a portfolio constructed to have zero systematic risk or, in other words, a beta of zero. A zero-beta portfolio would have the same expected return as the risk-free rate.

Investors can determine the volatility of their whole portfolios by examining the beta of each holding. The calculation is simply a matter of adding up the beta for each stock and adjusting according to how much of each you own (weighted average).

In this case, the answer is: is considerably more risky than the overall market. A beta of 1,26 is 126% more risky than a free risk option, and 26% more risky than the overall market. It depends on the investor's resilience to risk whether the difference with the overall market is considerable or not.

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Rom4ik [11]
We have to make a system of equations:
x + y = 7;  where x stays for pounds of Kenyan coffee, and y stays for pounds of Sri Lankan coffee. And: 3.50 * x + 5.60 * y = 33.95 ( total cost ).
From the 1st equation: x = 7 - y. We have to substitute it into the 2nd equation:
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3 years ago
If _________ is constrained, we should __________ the staffing level to lower capacity.
Goryan [66]
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Two variables have a correlation coefficient equal to -0.65 from a sample size of 10. Which one
elixir [45]

Answer:

Because the test statistic is less than the critical value, we can reject the null hypothesis  and conclude that the population correlation coefficient is less than zero.

Explanation:

Because the question is based on the hypothesis test of the significance of the correlation coefficient to decide whether the linear relationship in the sample data is strong enough to use to model the relationship in the population. If the tests concludes that the correlation coefficient is not significantly different from zero, it means that the correlation coefficient is not significant.

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