Financial analysis of SONY Corporation

        The Japanese multinational corporation by the name of the Sony Corporation is the one of the leading companies and its very well-known company all over the world. The Sony Corporation’s headquarter located in Tokyo, Minato and Konan. Their line of products includes as professional s and consumer electronic products and services. It also involved financial, gaming and entertainment services.

    The stock prices of the Sony are roundabout to the 6758 according to the TYO. Mr. Kenichioro Yoshida is known as the chief executive officer of the Sony Corporation. The chair person of the Sony is Kaz Hirai. The subsidiaries of the Sony are Sony picture, Columbia pictures and Sony mobile etc. Masura Lbuka and Akio Morita are the well known personality whose are known as the founder of the Sony Corporation. The ranges of the competitors of the Sony are increasing day by day the well known competitors of the Sony Corporation are Apple, Samsung, LG electronics and Canon (Sony 2018).

    This study has required the financial report of the Sony Corporation against their sales according to the several economic indicators which are;

Average Weekly Hours, Manufacturing
Average weekly initial claims for unemployment insurance
Manufacturers' new orders, consumer goods and materials
ISM index of new orders
Manufacturers' new orders, nondefense capital goods excluding aircraft orders
Building permits, new private housing units
Stock prices, 500 common stocks
Leading credit index
Interest rate spread, 10-year Treasury bonds less federal funds
Average consumer expectations for business conditions

        The time series data is used for the analysis of the above given indicators and these all data have collected from the various website as; Morning stars, Fred economic data and Yhoo Finance. Mostly data is collected by Fred economic data the data for the sales of the company was collected from the morning stars. After collecting the data the regression test is applied on all indicators by using the software of the Microsoft for checking the affects of these indicators on the sales of the Sony Corporation. After implementing the regression test the forecasting of the income statement have been calculated.

        This data is collected for the periods of the five years. The all analysis is calculated yearly.  At last these predicted prices are useful for comparing the market price for taking the decision of the either the stock is overpriced, fairly priced and under priced. These all procedure and analysis are enough to conducting the finical report of the Sony Corporation against the sales.

Interpretation of the regression of SONY Corporation

        In the given analysis of the regression it shows they effect of the independent variable on the dependent variable. Independent variable is stock price and dependent is sales of the Sony corporation.  In the table of regression t stat shows the validity of the variable and p value is used to checking the significance level of the variable and these values shows this variable is highly significant.  The value f statics shows the good fitness of the model as well as adjusted R square value shows the influence of the independent variable on the dependent variable (Estout 2018).

The regression analysis for Leading Index is showing as of SONY Corporation

Interpretation of the regression of SONY Corporation

        In the given analysis of the regression it shows they effect of the independent variable on the dependent variable. Independent variable is leading index and dependent is sales of the Sony corporation.  In the table of regression t stat shows the validity of the variable and p value is used to checking the significance level of the variable and these values shows this variable is highly significant.  The value f statics shows the good fitness of the model as well as adjusted R square value shows the influence of the independent variable on the dependent variable. It shows these variables have negative influence on the dependent variable (Estout 2018).

The regression analysis for Interest rate spread is showing as of SONY Corporation

Interpretation of the regression of SONY Corporation

        In the given analysis of the regression it shows they effect of the independent variable on the dependent variable. Independent variable is Average Weekly Hours, Manufacturing and dependent is sales of the Sony Corporation.  In the table of regression t stat shows the validity of the variable and p value is used to checking the significance level of the variable and these values shows this variable is highly significant.  The value f statics shows the good fitness of the model as well as adjusted R square value shows the influence of the independent variable on the dependent variable. It shows these variables have negative influence on the dependent variable (Estout 2018)

Interpretation of SONY Corporation

        In the above table the forecasted income statement is presented which shows that in the upcoming years the sales of Sony Corporation are growing with the rate of 12 years. The growth rate is estimated by keeping the previous growth rates of the revenue in mind.  The EPS of the organization has also increased with the rate of 12 %.  Over the past several years it can be seen that the revenue of the organization has increased which means that in the upcoming years the revenue of Sony Corporation will grow instead of decline. The net income of the corporation also increased significantly therefore by keeping the increasing trend in mind the net income of the corporation is forecast.

References of SONY Corporation

Estout. 2018. Documentation for estout. http://repec.org/bocode/e/estout/hlp_estout.html.

Sony. 2018. Home. https://www.sony.com/.