Our beta calculator allows you to determine the volatility of returns of an individual stock with respect to the whole market. It is calculated by comparing the returns of the stock to the returns of a market index such as the S&P 500.
“In the stock market context, beta is a measure of the volatility of a stock relative to the overall market”
A higher beta of a company indicates that there a greater risks and expected returns. If the market stock is higher than 1.0 beta, then it can be interpreted as more volatile than the S&P 500.
Our beta portfolio calculator is designed with a user-friendly interface that allows you to get fast calculations. You need to insert some values that are given as follows:
Beta = Covariance (Re, Rm) / Variance (Rm)
Where:
The volatility of a stock relative to the market can be measured easily by using a stock beta calculator because it helps you to make informed investment decisions. If you come for manual calculation you can use the example below:
Suppose you are considering investing in a small technology company and you know small companies tend to have higher betas than larger companies. Therefore, you consider the company's return and market returns.
The dataset includes both the dependent and independent variables:
Obs. | $$ r_M $$ | $$ r_S $$ |
---|---|---|
1 | 8 | 12 |
2 | 6 | 8 |
3 | 10 | 15 |
4 | -3 | -5 |
5 | 9 | 10 |
Based on the given sample values, generate the table below for the estimated regression coefficients
Obs. | $$ r_M $$ | $$ r_S $$ | Xᵢ² | Yᵢ² | Xᵢ · Yᵢ |
---|---|---|---|---|---|
1 | 8 | 12 | 64 | 144 | 96 |
2 | 6 | 8 | 36 | 64 | 48 |
3 | 10 | 15 | 100 | 225 | 150 |
4 | -3 | -5 | 9 | 25 | 15 |
5 | 9 | 10 | 81 | 100 | 90 |
Sum = | 30 | 40 | 290 | 558 | 399 |
The sum of squares calculated from the above table is
$$ SS_{XX} = \sum^n_{i=1}X_i^2 - \dfrac{1}{n} \left(\sum^n_{i=1}X_i \right)^2 $$
$$ = 290 - \dfrac{1}{5} (30)^2 $$
$$ = 110 $$
$$ SS_{YY} = \sum^n_{i=1}Y_i^2 - \dfrac{1}{n} \left(\sum^n_{i=1}Y_i \right)^2 $$
$$ = 558 - \dfrac{1}{5} (40)^2 $$
$$ = 238 $$
$$ SS_{XY} = \sum^n_{i=1}X_iY_i - \dfrac{1}{n} \left(\sum^n_{i=1}X_i \right) \left(\sum^n_{i=1}Y_i \right) $$
$$ = 399 - \dfrac{1}{5} (30) (40) $$
$$ = 159 $$
The formula provided determines the coefficient of the slope
$$ \hat{\beta}_1 = \dfrac{SS_{XY}}{SS_{XX}} $$
$$ = \dfrac{159}{110} $$
$$ = 1.445 $$
A zero beta portfolio is a portfolio that is used for zero systematic risks and it would have the same expected returns as the risk-free rate.
Our beta coefficient calculator proves helpful for many investors like:
When the general market price falls then an investment that is used to enhance the price is known as negative beta. It is a rare chance to have a negative beta because it is an indication of an inverse relation to the market.
Indeed.com: What is beta in finance? How beta works, Beta formula, Types of beta coefficient values, Who uses beta? Benefits of using beta.
Wikipedia: Beta (finance), Interpretation of values, Importance as a risk measure, Technical aspects, Choice of the market portfolio and risk-free rate, Empirical estimation, The use in performance measurement.
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