Introduction
of the ANZ Bank
The ANZ Bank is a multinational
banking service providing institute. The ANZ Bank is headquartered in
Australia. Although, it also works in New Zealand. ANZ Bank is listed in the
Australian stock exchange for the sell of its equity. In this report, financial
information and financing decisions of the bank are analyzed in detail. The
beta is calculated based on regression analysis. While the value of beta is
used to represent regression analysis [a statistical test] with relevant financial
ratios of the bank. The present work also includes details about the
observation of graphs.
Meaning
of Beta of the ANZ Bank
The beta is a commonly used term in
the business The meaning behind this term are different. For instance, in the
business CAPM model, the term beta represents volatility. While in the
securities and stock analysis it also represents the systematic risk factor. Organizations
use beta values to project possible risk factors for investment in the stock
equity of a company. Somehow, shares are traded on the market values which can
fluctuate in response to several internal and external environmental factors
such as the company's reputation, inflation rate, or natural events. While beta
mainly shows the volatility in the share prices of a company over the time duration
because of these factors, therefore, beta is considered as a representative of
risk factor associated with stock (Montgomery, Peck, & Vining, 2013).
Type
of Beta of the ANZ Bank
Beta has some common types such as
debt beta, equity beta, and asset. In part 1, we have calculated the equity
beta for the ANZ Bank. Somehow, our analysis also relates to asset beta and
debt beta. The equity beta is the measure of stock price volatility in the
selected time duration. The higher level of volatility represents a greater
risk for investment therefore investors measure beta to understand the stock
price trend. In part 1 of this project, stock price volatility is calculated.
While the stock prices are also taken to measure the risk beta by the use of
statistical testing “regression analysis”. Therefore it can be said that the
found beta in part 1 was an equity beta.
Meaning
of The Financial Ratios of the ANZ Bank
The financial ratios used in the
analysis are a debt to equity ratio, times interest earned ratio, price to earnings
ratio and market value to book value ratio. The meanings of these financial
ratios are presented below (Accountingtools.com, 2018):
1)
Debt to Equity Ratio
The debt to
equity ratio is a measure to represent the level of business operation financed
by the debt versus equity.
2)
Times Interest Earned Ratio
The time interest
earned ratio is meant to provide information about the company’s capability to
meet its debt obligations while using its current income (Tracy, 2012).
3)
Price to earnings ratio
The price to
earnings ratio shows how much investors of common stock holders will earn on
each dollar they spent in the company's assets. A higher ratio indicates higher
earnings for each dollar of assets [including the plant assets and non-current
assets e.g. inventory].
4)
Market value to book value
The market value
to book value ratio is also named as book ratio. This ratio is a representative
of the difference between the company's calculated value or worth in the
reports against calculated value by the market.
Meaning
of R-Square of The Regression
Statistical measures are commonly
in use of business administration and managers to evaluate the impact of a
variable on the second variable. Regression analysis is mainly the statistical
measures representing variance and difference between two variables. R-squared regression
shows the level of closeness between the selected variables. For instance, in
this case, it measures how close the beta values are to the calculated ratio. In
the community of researchers, an R square value greater than 50% is considered
acceptable. Somehow, in business analysis (such as for beta we used) even a 30%
regression value is also important as companies do not afford to a wrong
decision in the highly competitive markets.
R-Square
and The P-Value For The Slope
The R-square and p-value are the two
indicators of regression analysis to represent a slope. The following table
represents the results of regression analysis in the R-square and p-value taken
in part 1 for ANZ Bank [based on the financial data from 2010 to 2019]. The
comment of these values is presented below in detail.
Regression
|
R-Square
|
p-value
|
Comment
|
Beta vs
P/E
|
0.598842254
|
0.00862139
|
Significant
|
Beta vs
D/E
|
0.314429705
|
0.09175086
|
Significant
|
Beta vs
TIE
|
0.000218904
|
0.96764212
|
Insignificant
|
Beta vs
MV/BV
|
0.00472763
|
0.85030144
|
Insignificant
|
Table
1
R-Square Value and P-value
Detailed Comment:
Based on the above presented
R-square value and p-value of the beta vs P/E it can be said that the tested
relationship is significant as the alpha value is greater than p-value
(0.0086). Thus it is clear that changes occurred in the values of beta also bring
changes in the values of price to earnings ratio for the relevant time
duration. While on the other, the relationship between beta values and debt to
equity is also significant. The r-square value for beta vs D/E is 0.3144 which
is greater than the p-value 0.0917.
Thus conclusively it can be
said that a strong and significant regressive relationship exists between these
two selected variables. In the third row, the r-square and p-value are presented
for beta vs TIE. The regression is insignificant for beta and times interest
earned. Although, the results are insignificant for the beta vs MV/BV variables
as p-value is greater than the alpha value.
Observation
of The Graphs of the ANZ Bank
The observation of the graph
represents that values of price earnings ratio [for ANZ Bank] and beta are
correlated. Both of these variables were representing an increase and decrease
at the same time duration therefore it can be said that both are correlated
with each other. While the graphs also show that beta movement and times
interest earned ratio had a huge difference over the selected time duration.
The time interest earned ratio values were between 40 to 50. However, beta
values were lower than 3. Thus, in this graph beta line for ANZ Bank was
all-the time stick to the bottom area.
Moreover, based on the observation of line
chart showing debt to equity and beta graph it can be said that debt to equity had
a negative or opposite trend of movement than beta values during 10 year
duration. Somehow, the values of both of these variables are between 0.5 to
2.5. Because of similar values, the trend is quite clear in this line chart. However,
the debt to equity ratio is not representing an overall increasing trend. Debt
to equity ratio was only stable during 2013 and 2016 from overall selected time
duration.
Conclusion
of the ANZ Bank
The whole discussion concludes that
the regression model and financial ratio analysis are the common methods
employed by the managerial staff of the organizations to evaluate the business
performance and financial outcomes. The beta and financial ratios are also
calculated for ANZ Bank. The beta is a measure for volatility which also
indicate risk factor. In this report, equity beta related analysis are
presented in detail. Summarizing findings, price to earnings ratio has a
significant relationship with beta. The regression analysis also concluded that
market value to book value ratio does not have any significant relationship
with the beta as p-value was lower than the alpha value.
Accountingtools.com. (2018). Ratio analysis.
Retrieved from www.accountingtools.com:
https://www.accountingtools.com/articles/ratio-analysis.html
Montgomery, D. C., Peck, E. A., & Vining, G. G.
(2013). Introduction to Linear Regression Analysis. John Wiley &
Sons.
Tracy, A. (2012). Ratio Analysis Fundamentals:
How 17 Financial Ratios Can Allow You to Analyse Any Business on the Planet.
RatioAnalysis.net.