Motherson Sumi Systems Stock price target by 2023

Motherson Sumi System is a joint venture between Samvardhana Motherson International Ltd of India and Sumitomo wining system Ltd of Japan.

How to get historical Motherson Sumi Systems Stock price in python?

There is a number of ways to get historical Motherson Sumi Systems Stock price in python. you see code.

df = yf.download('MOTHERSUMI.NS',

 start='2010-01-01',

 end='2021-09-08',

 adjusted=True,

 progress=False)

We have gotten data from yahoo finance.

See data structural MOTHERSUMI

This is Motherson Sumi's stock-price monthly chart.

<matplotlib.axes._subplots.AxesSubplot at 0x7f4bea8a4450>

 Describing monthly Residual, seasonal trends,s and observed mothersonsumi charts is called Multiplicative Decomposition.

Motherson Sumi Systems Stock price target  by 2022

This chart forecasting price, rolling mean,s, and rolling standard deviation.

Regression Analisis

<matplotlib.axes._subplots.AxesSubplot at 0x7f4cb848d3d0>

What is the future of mother Sumi stock?

Mothersonsumi stock price forecast charts

Here describing components of yearly, monthly, weekly, and trends.

Now see mothersonsumi stock price and actual prediction

[Text(0, 0.5, 'Stock Price '),
 Text(0.5, 0, 'Date'),
 Text(0.5, 1.0, 'Stock Price - actual vs. predicted')]

This is an ADF test to use forecast.

Test Statistic -0.937269 p-value 0.775452 # of Lags Used 0.000000 # of Observations Used 2879.000000 Critical Value (1%) -3.432623 Critical Value (5%) -2.862544 Critical Value (10%) -2.567305 dtype: float64

Correlation

KPSS TEST

 InterpolationWarning:

p-value is smaller than the indicated p-value

Test Statistic            7.177769
p-value                   0.010000
# of Lags                28.000000
Critical Value (10%)      0.347000
Critical Value (5%)       0.463000
Critical Value (2.5%)     0.574000
Critical Value (1%)       0.739000
dtype: float64

Beta =1.403554948944072

MOTHERSON SUMI CAPM ANALYSIS

OLS Regression Results ============================================================================== Dep. Variable: asset R-squared: 0.359 Model: OLS Adj. R-squared: 0.355 Method: Least Squares F-statistic: 77.43 Date: Sat, 18 Sep 2021 Prob (F-statistic): 5.02e-15 Time: 12:41:14 Log-Likelihood: 131.63 No. Observations: 140 AIC: -259.3 Df Residuals: 138 BIC: -253.4 Df Model: 1 Covariance Type: nonrobust ============================================================================== coef std err t P>|t| [0.025 0.975] ------------------------------------------------------------------------------ const 0.0108 0.008 1.314 0.191 -0.005 0.027 market 1.4036 0.160 8.800 0.000 1.088 1.719 ============================================================================== Omnibus: 7.706 Durbin-Watson: 2.259 Prob(Omnibus): 0.021 Jarque-Bera (JB): 10.663 Skew: 0.288 Prob(JB): 0.00484 Kurtosis: 4.223 Cond. No. 19.8 ==============================================================================

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