Quantitative Techniques for Managers_Stock Market Data Analysis_Assingment.pptx
Company Name: ADANITRANS (Adani
transmission company. Currently, it is one of the
largest private sector power transmission
companies operating in India, it was founded by
Gautam Adani in December 2015 after separating
the decade-old transmission business from Adani
In finance, a stock index, or stock market index,
is an index that measures a stock market, or a
subset of the stock market, that helps investors
compare current stock price levels with past prices
to calculate market performance.
represents the next rung of liquid securities after
the NIFTY 50. It consists of 50 companies
representing approximately 10% of the traded
value of all stocks on the National Stock
Exchange of India. The NIFTY Next 50 is owned
and operated by India Index Services and Products
Please find below the comparison between Nifty
Next Fifty’s Closing price and Adani
Transmission Ltd.’s Closing price for the time
period of 3rd Jan, 2022 to 30th Aug, 2022.
that 50% closing price lie below 40615.4250
(Median) and 50% lie above 40615.4250 for Nifty
Next 50. For ADANITRANS, 50% closing price
lie below 2309.1000 (Median) and 50% lie above
understand that in 95% of the cases the closing
value will be between 40073.8274 to 40744.5402
for Nifty Next 50 and 2379.0546 to 2541.0394 for
ADANITRANS. This is a huge range because of
the standard deviation being 2174.92343 and
525.26885 for Nifty Next 50 and ADANITRANS.
By 5% Trimmed Mean, we can understand that
this is not normal data as there is a huge difference
between Mean and 5% Trimmed Mean for both
Nifty Next 50 and ADANITRANS.
Standard Deviation explains us the spread of the
data/score from the mean score and Variance is
square of Std Deviation, Variance gives us the
picture of the variability of the data.
between 1st Quartile and 3rd Quartile. Interquartile
rang for Nifty Next 50 is very high (3741.40) in
comparison to that of ADANITRANS (704.43).
Larger Interquartile range in a group indicates
greater spread of scores indicating higher
variability in data.
The Sig (Significance) value of Kolmogorov-
Smirnov and Shapiro-Wilk is less than 0.05,
which means that the data is not normal, we will
have to reject the assumption of Null Hypothesis.
(present below), we can observe that the data
point is not falling on 45-degree line of Q-Q plot
and in the detrended Q-Q plot we can observe that
the data point is not falling on the horizontal line.
This signals the departure from normality.
Interquartile Range 3741.40
Skewness -.333 .190 Kurtosis
-.951 .377ADANITRANS Mean
2460.0470 41.01661 Closing Price
95% Confidence Lower Bound
2379.0546 Interval for Mean
Upper Bound 2541.0394 5%
Trimmed Mean 2426.5486
Median 2309.1000 Variance
275907.365 Std. Deviation
1731.10 Maximum 3960.70
Regression helps us study the cause-and-
effect relationship between the variables.
Square is the measure of total influence of
independent variable on the dependant variable. R
square is the percentage of influence explained by
the independent variable in the dependant
Independent Variable is Nifty Next Fifty and
Dependant Variable is ADANITRANS.
Durbin Watson test value is 0.17 which is in the
range of -3.29 and +3.29, so we can conclude that
the sample is independent.
10.5% of ADANITRANS closing value can be
accounted by the Nifty Next 50 closing value. Std
Error of Estimate is quite high as 498.36682, this
indicates the error in prediction.
we can say that the regression as a whole is
significant up to 99% level so it is statistically
significant and we have rejected the null
hypothesis that all the variable is equal to zero and
model is essentially explaining none of the
variation in our dependant variable.
We can conclude that Nifty Next Fifty closing
price’s 1 unit has 0.078 unit of positive
effect/influence on ADANITRANS closing price.
1 standard deviation change in Nifty Next Fifty
closing price is going to cause 0.325 standard
deviation change in ADANITRANS closing price.