BRITANNIA INDUSTRIES
INVESTMENT MANAGEMENT
                                 DONE BY:
                            SIVA NANDINI S
                                  19CMH30
                                 INTRODUCTION
Britannia Industries Limited is an Indian company specialized in food industry, part
of the Wadia Group headed by Nusli Wadia. Founded in 1892 and headquartered
in Kolkata, it is one of India's oldest existing companies and best known for its
biscuit     products.   The    company      sells    its    Britannia and Tiger brands
of biscuits, breads and dairy products throughout India and abroad. Beginning with
the circumstances of its takeover by the Wadia Group in the early 1990s, the
company has been mired in several controversies connected to its management.
However, it still has a large market share and it is profitable.
PERFORMANCE IN STOCK MARKET:
Its annual income statement is Britannia Industries Ltd reported revenue of 131.4B
for FY 2021, an increase of 13.25% compared to FY 2020. Net income grew 32.89%
to 18.6B.
Its annual balance sheet is Britannia Industries Ltd reported total assets of 80.1B for
FY 2021, an increase of 2.12% compared to FY 2020.
Its annual cash flow is Britannia Industries Ltd reported cash flow of 18.5B for FY
2021, an increase of 24.69% compared to FY 2020.
Its annual earnings is Britannia Industries Ltd reported Earnings Per Share (EPS) of
77.4 for FY 2021, an increase of 31.52% compared to FY 2020.
               FOLLOWING ARE THE MARKET INDEX AND SHARE PRICES OF
                   BRITANNIA INDUSTRIES OF FEB AND MARCH 2022
                NSE        BRITANNIA
   DATE       INDEX (Y)   INDUSTRIES    Rm X    Rm Y    X- ͞X   Y- ͞Y   (X- ͞X)(Y-͞Y)   (X- ͞X)^2   X^2     Y^2      XY
                               (X)
22 feb,2022   17092.2         3489.75
23 feb,2022   17063.25       3511.15     0.61   -0.17    0.91   -0.14         -0.13         0.83     0.38    0.03   -0.10
24 feb,2022   16247.95          3446    -1.86   -4.78   -1.56   -4.75          7.39         2.42     3.44   22.83    8.87
25 feb,2022   16658.4        3422.75    -0.67   2.53    -0.37   2.56          -0.96         0.14     0.46    6.38   -1.70
28 feb,2022   16793.9        3427.45     0.14   0.81     0.44   0.84           0.37         0.19     0.02    0.66    0.11
2 Mar,2022    16605.95       3391.75    -1.04   -1.12   -0.74   -1.09          0.81         0.55     1.08    1.25    1.17
3 Mar,2022    16498.05        3366.4    -0.75   -0.65   -0.45   -0.62          0.28         0.20     0.56    0.42    0.49
4 Mar,2022    16245.35       3371.35     0.15   -1.53    0.45   -1.50         -0.67         0.20     0.02    2.35   -0.23
7 Mar,2022    15863.15       3153.45    -6.46   -2.35   -6.16   -2.32         14.32        37.99    41.77    5.54   15.21
8 Mar,2022    16013.45       3113.75    -1.26   0.95    -0.96   0.98          -0.94         0.92     1.58    0.90   -1.19
9 Mar,2022    16345.35       3123.85     0.32   2.07     0.62   2.10           1.31         0.39     0.11    4.30    0.67
10 Mar,2022   16594.9        3222.95     3.17   1.53     3.47   1.56           5.41        12.06    10.06    2.33    4.84
11 Mar,2022   16630.45        3199.9    -0.72   0.21    -0.42   0.24          -0.10         0.17     0.51    0.05   -0.15
14 Mar,2022   16871.3        3185.85    -0.44   1.45    -0.14   1.48          -0.21         0.02     0.19    2.10   -0.64
15 Mar,2022   16663          3222.85     1.16   -1.23    1.46   -1.20         -1.76         2.14     1.35    1.52   -1.43
16 Mar,2022   16975.35       3313.65     2.82   1.87     3.12   1.90           5.94         9.72     7.94    3.51    5.28
                                        -4.82   -0.41                         31.05        67.93 69.48      54.16 31.18
  ✓ ͞͞͞X = 0.30
  ✓ ͞͞͞Y = 0.03
  ✓ rim = 0.51
  ✓ σm = 2.06
  ✓ σy = 1.84
  ✓ Cov(RM,RI) = 1.94
  ✓ σ2M = 4.25
CORRELATION METHOD
                  β= 0.45
REGRESSION METHOD
                  β = 0.45
CO-VARIANCE METHOD
                  β = 0.45
INTERPRETATION
THE ABOVE RESULTS (β) SHOW THAT THE COMPANY IS BELOW THE
AVERAGE RISK