Loading...

Messages

Proposals

Stuck in your homework and missing deadline?

Get Urgent Help In Your Essays, Assignments, Homeworks, Dissertation, Thesis Or Coursework Writing

100% Plagiarism Free Writing - Free Turnitin Report - Professional And Experienced Writers - 24/7 Online Support

The impact of monetary policy on stock markets of Japan, USA and UK

Category: Marketing Paper Type: Dissertation & Thesis Writing Reference: HARVARD Words: 5900

          There are the various constructs that are adopted for measuring the performance of all countries which are selected as sample in this study as Japan, United Satiates of America (USA) and United Kingdom (UK). The dynamics of each country’s economic performance can be easily captured by these constructs which are; inflation, output gap, unemployment and IT. The research sturdy is conducted by using the secondary which is leading towards the preexisting data that is used for another projects. Both of the research method are used in this study as quantitative and qualitative. In order to attain the final results the sector data is used. Particularly, time series data is used. The datasets are between-2018 and collected as quarterly. This study discusses about the 2008 FED crisis and there is comparisons between three countries in the form of before and after 2008(Kibbe, 2011).

The performance of the country is affected by the monetary policy as well as stock market is one of the most important major indicators that can affect the country’s performance(Kerongo Maatwa Meshack, 2016). The country’s economic performance variables inflation rate, output growth and real exchange rate is effecting the monetary policy and due to this stock markets are also effected. E-views is used to analyzing the data because it’s referred as the one of the most important and authentic software for analyzing the time series data(Eviews, 2019). It is one of the ideal packages to efficiently and quickly managing data.  E-views used to perform statistical analysis and econometrics.  This tool is also used for model simulations and generating forecast. Tables for publication and high quality graphs can be generated by using this software. This tool is used for inclusion and various other applications

Empirical strategy the impact of monetary policy on stock markets of Japan, USA and UK

        The empirical strategy is commonly followed by the equation of regression which is also known as the estimation equation. It can be explains about the intercepts as what the person is thinking about the x and y variables, particularly for that at where Y is the dependent variable and X is the independent variable. The Structural Vector Auto Regression (SVAR) is applied on this data. For each countries the impulse rate functions is estimated by utilizing the data for particular period of 1990-2018. The first difference of algorithm is the growth rate. The order of the variables in the VAR model is similar to the studies of (Chuku, 2009).

Stationary Test of the impact of monetary policy on stock markets of Japan, USA and UK

        Stationary Test is the one of the most important tests which is used to measure the effectiveness and authentication of the data.This tests tells about either regression can be applied on the particular data or not.  If the significance level is less than 0.05 it shows data is accurate for regression analysis. As depicted in the study of the (Lee, 2010)

The effects of monetary policy on Stock markets of Japan, USA and UK

                   

Interpretation of the impact of monetary policy on stock markets of Japan, USA and UK

The above given graph is representing the level of the Inflation, Output Gap, Unemployment and IT along with its years in Japan. The values are not constant in this graph for all of these variables. It represents the gradual and abrupt fluctuations. As in the above image the Output Gap remains between -1 to 2 during 1994- 2008. Meanwhile in 2009 there were abrupt fluctuations and the value of output Gap reached at -6 than it reached at 1 in 2010.  There is gradual fluctuations in the unemployment which shows unemployment’s is occur all time in Japan from 1994 to 2018. There is gradual fluctuation occurs in the inflation rate of the Japan during 1994 to 2018 but in 2009 it reached at -2 which shows the bad conditions of Japan meanwhile in 2014 it was 3 and the situation of country was good. These results are more similar with the study of (Gambacorta, 2014).

                              

United Kingdom (UK)

The above given graph is representing the level of the Inflation, Output Gap, Unemployment and IT along with its years in UK. With the references of the study of(Miyao, 2002) the values are not constant in this graph for all of these variables. It represents the gradual and abrupt fluctuations. As in the above image the Output Gap remains 0 to 1.7 during 1994-2008. Meanwhile in 2009 there were abrupt fluctuations and the value of output Gap reached at -3 than it reached at -1.6 in 2010.  There is abrupt fluctuations in the unemployment which shows unemployment’s is occur all time in UK from 1994 to 2018. In 1994 the unemployment rate was 10. There is gradual fluctuation occurs in the inflation rate of the UK during 1994 to 2018 but in 2009 it reached at 4.2 which shows the good conditions of UK.  The stock market price as IT was least in UK as 1-2.

                     

United Sates of America (USA)

The above given graph is representing the level of the Inflation, Output Gap, Unemployment and IT along with its years in USA. The values are not constant in this graph for all of these variables. It represents the gradual and abrupt fluctuations. As in the above image the Output Gap remains 0 to 2.1 during 1994-2000. Meanwhile in 2009 there were abrupt fluctuations and the value of output Gap reached at -3 than it reached at 0in 2018.  There is abrupt fluctuations in the unemployment which shows unemployment’s is occur all time in USA from 1994 to 2018. In 2010 the unemployment rate was 10. There is gradual fluctuation occurs in the inflation rate of the USA during 1994 to 2018 but in 2009 it reached at -1 which shows the good conditions of USA.  The stock market price as IT was least in USA as 1-2. As depicted in the study of (Caggiano, 2014)

Vector auto regression

Japan

Dependent Variable: IT

 

 

Method: Least Squares

 

 

Date: 08/23/19   Time: 15:25

 

 

Sample (adjusted): 1995Q1 2018Q4

 

Included observations: 93 after adjustments

 

 

 

 

 

 

 

 

 

 

 

Variable

Coefficient

Std. Error

t-Statistic

Prob.

 

 

 

 

 

 

 

 

 

 

C

-3.198354

0.638574

-5.008584

0.0000

INFLATION

0.007516

0.116024

0.064777

0.9485

OUTPUTGAP

0.207719

0.073821

2.813841

0.0060

UNEMPLOYMENT

0.762235

0.150138

5.076889

0.0000

 

 

 

 

 

 

 

 

 

 

R-squared

0.285089

Mean dependent var

-0.030866

Adjusted R-squared

0.260991

S.D. dependent var

1.053339

S.E. of regression

0.905510

Akaike info criterion

2.681421

Sum squared resid

72.97536

Schwarz criterion

2.790350

Log likelihood

-120.6861

Hannan-Quinn criter.

2.725403

F-statistic

11.83036

Durbin-Watson stat

0.154003

Prob(F-statistic)

0.000001

 

 

 

 

 

 

 

 

 

 

 

 

 

 

United States of America

Dependent Variable: IT

 

 

Method: Least Squares

 

 

Date: 08/21/19   Time: 19:32

 

 

Sample (adjusted): 1995Q1 2018Q4

 

Included observations: 96 after adjustments

 

 

 

 

 

 

 

 

 

 

 

Variable

Coefficient

Std. Error

t-Statistic

Prob.

 

 

 

 

 

 

 

 

 

 

C

1.557590

0.178373

8.732200

0.0000

INFLATION

0.163609

0.036893

4.434746

0.0000

OUTPUTGAP

-0.126177

0.042790

-2.948764

0.0040

UNEMPLOYMENT

-0.104735

0.025696

-4.076004

0.0001

 

 

 

 

 

 

 

 

 

 

R-squared

0.308955

Mean dependent var

1.315118

Adjusted R-squared

0.286421

S.D. dependent var

0.411912

S.E. of regression

0.347957

Akaike info criterion

0.767296

Sum squared resid

11.13880

Schwarz criterion

0.874144

Log likelihood

-32.83023

Hannan-Quinn criter.

0.810486

F-statistic

13.71058

Durbin-Watson stat

0.167650

Prob(F-statistic)

0.000000

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

United Kingdom

Dependent Variable: IT

 

 

Method: Least Squares

 

 

Date: 08/23/19   Time: 16:56

 

 

Sample (adjusted): 1995Q1 2018Q4

 

Included observations: 96 after adjustments

 

 

 

 

 

 

 

 

 

 

 

Variable

Coefficient

Std. Error

t-Statistic

Prob.

 

 

 

 

 

 

 

 

 

 

C

0.456824

0.270394

1.689475

0.0945

INFLATION

-0.016956

0.077510

-0.218761

0.8273

OUTPUTGAP

0.086012

0.055271

1.556190

0.1231

UNEMPLOYENT

0.145141

0.050279

2.886734

0.0049

 

 

 

 

 

 

 

 

 

 

R-squared

0.100192

Mean dependent var

1.296884

Adjusted R-squared

0.070850

S.D. dependent var

0.548872

S.E. of regression

0.529071

Akaike info criterion

1.605385

Sum squared resid

25.75227

Schwarz criterion

1.712233

Log likelihood

-73.05848

Hannan-Quinn criter.

1.648575

F-statistic

3.414676

Durbin-Watson stat

0.049627

Prob(F-statistic)

0.020674

 

 

 

 

 

 

 

 

 

 

 

 

 

Interpretation of the impact of monetary policy on stock markets of Japan, USA and UK

After conducting the regression analysis for all of these countries Japan, Uk, and USA it has been observed that one standard deviation of monetary policy is statically significant for all countries as for UK it is variants 0.5% from its mean value, in USA it variants 0.4% and 1.05% for Japan. The coefficients (inflation, output gap, and unemployment) values are 0.007516, 0.207719 and 0.762235 respectively. It shows that there is positive relationship among monetary policy and stick market price in Japan and the level of significance for two variables are less than 0.05 meanwhile for 0.9485 for inflation rate. It represents that there is positiverelationship among inflation rate and stock market price in Japan but not significant. As indicated in the study of (Kurihara, 2006). The value of the R square is 0.285089 it means due to the 1% change in IT (stock market price) inflation, output gap, and unemployment will be changed 28%.

The coefficients (inflation, output gap, and unemployment) values are 0.163609, -0.126177and -0.104735 respectively. It shows that there is positive relationship among inflation and stock market price in USA meanwhile output gap, and unemployment have negative relationship with stock market priceand the level of significance for all variables are less than 0.05. It represents that there is positive significant relationship among inflation rate and stock market price in USA but there is negative significant relationship among output gap, unemployment and stock market price. The value of the R square is 0.308955it means due to the 1% change in IT (stock market price) inflation, output gap, and unemployment will be changed 30% in United States of America(Roy, 2012).

The coefficients (inflation, output gap, and unemployment) values are -0.016956, 0.086012 and 0.145141 respectively. It shows that there is positive relationship among output gap, unemployment and stock market price in UK meanwhile inflation have negative relationship with stock market price and the level of significance for two variables are greater than 0.05 meanwhile for unemployment significant value is 0.0049. It represents that there is positive insignificant relationship among output gap and stock market price in United Kingdom but there is negative insignificant relationship among Inflation and stock market price in UK. Unemployment has positive significant relationship with IT (Stock market price). The value of the R square is 0.100192 it means due to the 1% change in IT (stock market price) inflation, output gap, and unemployment will be changed 10% in UK. The results are seemed as (Ioannidis, 2008)

Wald Test of the impact of monetary policy on stock markets of Japan, USA and UK

 

Wald Test:

 

 

Equation: Untitled

 

 

 

 

 

 

 

 

 

Test Statistic

Value

df

Probability

 

 

 

 

 

 

 

 

F-statistic

19.74850

(2, 89)

0.0000

Chi-square

39.49700

2

0.0000

 

 

 

 

 

 

 

 

 

 

 

 

Null Hypothesis: C(2)=C(3)=0.5

 

Null Hypothesis Summary:

 

 

 

 

 

 

 

 

 

Normalized Restriction (= 0)

Value

Std. Err.

 

 

 

 

 

 

 

 

-0.5 + C(2)

-0.492484

0.116024

-0.5 + C(3)

-0.292281

0.073821

 

 

 

 

 

 

 

 

Restrictions are linear in coefficients.

The above given tables is representing the analysis of the Wald Test in Japan. In order to the appearance of the variables the coefficients are assigned in the specificationsFor the PR terms the coefficients are labeled as C(2)=C(3)=0.5. It is indicated by the low probability values which is 0.000 that the null hypothesis is strongly rejected because it is equal to 0.5. Such kind of the results can carefully accepted without any extra analysis. It is reported by the above given analysis the standard error for C (2) is 0.116024 and C (3)is 0.073821. In the residual of the estimated equation the presence of theserial correlation indicated. The null hypothesis rejected in case of the uncorrected, serial correlation for residuals. Invalid statics inference for the coefficients of(De Maio, 2008).

 

Wald Test:

 

 

Equation: Untitled

 

 

 

 

 

 

 

 

 

Test Statistic

Value

df

Probability

 

 

 

 

 

 

 

 

F-statistic

228.7279

(2, 92)

0.0000

Chi-square

457.4558

2

0.0000

 

 

 

 

 

 

 

 

 

 

 

 

Null Hypothesis: C(2)=C(3)=0.5

 

Null Hypothesis Summary:

 

 

 

 

 

 

 

 

 

Normalized Restriction (= 0)

Value

Std. Err.

 

 

 

 

 

 

 

 

-0.5 + C(2)

-0.336391

0.036893

-0.5 + C(3)

-0.626177

0.042790

 

 

 

 

 

 

 

 

Restrictions are linear in coefficients.

The above given tables is representing the analysis of the Wald Test in USA.  In order to the appearance of the variables the coefficients are assigned in the specifications For the PR terms the coefficients are labeled as C(2)=C(3)=0.5. It is indicated by the low probability values which is 0.000 that the null hypothesis is strongly rejected because it is equal to 0.5. Such kind of the results can carefully accepted without any extra analysis. It is reported by the above given analysis the standard error for C (2) is 0.036893 and C (3) is 0.042790. In the residual of the estimated equation the presence of the serial correlation indicated. The null hypothesis rejected in case of the uncorrected, serial correlation for residuals. Invalid statics inference for the coefficients.

 

Wald Test:

 

 

Equation: Untitled

 

 

 

 

 

 

 

 

 

Test Statistic

Value

df

Probability

 

 

 

 

 

 

 

 

F-statistic

60.78016

(2, 92)

0.0000

Chi-square

121.5603

2

0.0000

 

 

 

 

 

 

 

 

 

 

 

 

Null Hypothesis: C(2)=C(3)=0.5

 

Null Hypothesis Summary:

 

 

 

 

 

 

 

 

 

Normalized Restriction (= 0)

Value

Std. Err.

 

 

 

 

 

 

 

 

-0.5 + C(2)

-0.516956

0.077510

-0.5 + C(3)

-0.413988

0.055271

 

 

 

 

 

 

 

 

Restrictions are linear in coefficients.

Interpretation of the impact of monetary policy on stock markets of Japan, USA and UK

The above given tables is representing the analysis of the Wald Test in UK.  In order to the appearance of the variables the coefficients are assigned in the specifications For the PR terms the coefficients are labeled as C(2)=C(3)=0.5. It is indicated by the low probability values which is 0.000 that the null hypothesis is strongly rejected because it is equal to 0.5. Such kind of the results can carefully accepted without any extra analysis. It is reported by the above given analysis the standard error for C (2) is 0.077510 and C (3) is 0.055271. In the residual of the estimated equation the presence of the serial correlation indicated. The null hypothesis rejected in case of the uncorrected, serial correlation for residuals. Invalid statics inference for the coefficients.

                

Interpretation of the impact of monetary policy on stock markets of Japan, USA and UK

The above said graph represents the annual data on the X-axis and the time period span from the year 1996 to 2018. The variables of interest include inflation, output gap and unemployment. The above graph belongs to JAPAN and it is containing the information against three parameters i.e., residual, actual and fitted. The graph values against these determinants demonstrate that they all are showing the same behavior i.e., they are gradually increasing or decreasing to a certain level against a specified year. The residual and the actual graphs have shown the abrupt fluctuations at certain points. For the year 2003, residual value got decreased and reached to a negative value (-1) from 2. For the year 2016, actual value got decreased and reached to 0 from 2.

               

Interpretation of the impact of monetary policy on stock markets of Japan, USA and UK

The above graph belongs to UK and it is also containing the information against three parameters i.e., residual, actual and fitted. The graph values against these determinants also demonstrate that they all are showing the same behavior i.e., they are gradually increasing or decreasing to a certain level against a specified year. There is no abrupt behavior for any parameter rather it is the gradual one. The fluctuation to the values of market shares is slow for every of the year.

                        

United Sates of America (USA)

Interpretation of the impact of monetary policy on stock markets of Japan, USA and UK

The above graph belongs to USA and it is also containing the information against three parameters i.e., residual, actual and fitted. The graph values against these determinants also demonstrate that they all are showing the same behavior i.e., they are gradually increasing or decreasing to a certain level against a specified year. There is no abrupt behavior for any parameter rather it is the gradual one. The fluctuation to the values of market shares is slow for every of the year

Chow Breakpoint Test: 2018Q1

 

Null Hypothesis: No breaks at specified breakpoints

Varying regressors: All equation variables

 

Equation Sample: 1995Q1 2018Q4

 

 

 

 

 

 

 

 

 

 

 

F-statistic

4.802704

 

Prob. F(4,85)

0.0015

Log likelihood ratio

18.95011

 

Prob. Chi-Square(4)

0.0008

Wald Statistic

19.21082

 

Prob. Chi-Square(4)

0.0007

 

 

 

 

 


 

 

 

 

 

 

 

 

 

 

Interpretation of the impact of monetary policy on stock markets of Japan, USA and UK

The above said Chow test is helping to determine the existence of the break points in the study data. For every test that is a part of break-point, F-Test value is the same. It is also used as an assumption for Chow test. The value of F-statistics is change for every Country (Japan, UK and USA). The degree of freedom (Prob. F) is (4, 85) for Japan and it is different for the other countries of the current study. For Japan, the p-value of F-statistics is 0.0015. This value is less than 5%. So, H0 is rejected. This rejection of null hypothesis indicates that there exist structural breaks in the data for Japan.

 

Dependent Variable: IT

 

 

Method: Least Squares

 

 

Date: 08/21/19   Time: 01:17

 

 

Sample (adjusted): 1995Q2 2018Q4

 

Included observations: 92 after adjustments

 

 

 

 

 

 

 

 

 

 

 

Variable

Coefficient

Std. Error

t-Statistic

Prob.

 

 

 

 

 

 

 

 

 

 

C

-2.939135

0.654929

-4.487719

0.0000

INFLATION

0.087255

0.119650

0.729249

0.4678

OUTPUTGAP

0.005255

0.013701

0.383521

0.7023

UNEMPLOYMENT

0.694131

0.153520

4.521447

0.0000

S(-1)

-0.004368

0.004588

-0.952040

0.3437

 

 

 

 

 

 

 

 

 

 

R-squared

0.264380

Mean dependent var

-0.047285

Adjusted R-squared

0.230559

S.D. dependent var

1.047076

S.E. of regression

0.918473

Akaike info criterion

2.720606

Sum squared resid

73.39249

Schwarz criterion

2.857660

Log likelihood

-120.1479

Hannan-Quinn criter.

2.775922

F-statistic

7.816902

Durbin-Watson stat

0.108578

Prob(F-statistic)

0.000020

 

 

 

 

 

 

 

 

 

Interpretation of the impact of monetary policy on stock markets of Japan, USA and UK

The above said table shows that the value of probability statistics for unemployment is less than 0.05 which shows that there exists data significance for this study variable. This value is greater than 0.05 for the other study variables which shows insignificance. The overall value of R-square shows that for 1% change in the independent variables (inflation, output gap and unemployment) there exists 26% change in the dependent variable IT for Japan data.

 

Chow Breakpoint Test: 2008Q1

 

Null Hypothesis: No breaks at specified breakpoints

Varying regressors: All equation variables

 

Equation Sample: 1995Q1 2018Q4

 

 

 

 

 

 

 

 

 

 

 

F-statistic

84.89420

 

Prob. F(4,88)

0.0000

Log likelihood ratio

151.7565

 

Prob. Chi-Square(4)

0.0000

Wald Statistic

339.5768

 

Prob. Chi-Square(4)

0.0000

 

 

 

 

 

 

 

 

 

 

 

Interpretation of the impact of monetary policy on stock markets of Japan, USA and UK

The above table shows that the value of F-statistics is change for UK. It is 84.89420. The degree of freedom (Prob. F) is (4, 88) for United Kingdom and it is similar to United States of America. For UK, the p-value of F-statistics is 0.0000. This value is less than 5%. So, H0 is rejected. This rejection of null hypothesis indicates that there exist structural breaks in the data for United Kingdom

Dependent Variable: IT

 

 

Method: Least Squares

 

 

Date: 08/23/19   Time: 17:07

 

 

Sample (adjusted): 1995Q2 2018Q4

 

Included observations: 95 after adjustments

 

 

 

 

 

 

 

 

 

 

 

Variable

Coefficient

Std. Error

t-Statistic

Prob.

 

 

 

 

 

 

 

 

 

 

C

0.531592

0.283179

1.877227

0.0637

INFLATION

-0.014072

0.078689

-0.178830

0.8585

OUTPUTGAP

0.070926

0.059655

1.188943

0.2376

UNEMPLOYENT

0.129796

0.052894

2.453909

0.0161

S(-1)

0.001737

0.004089

0.424815

0.6720

 

 

 

 

 

 

 

 

 

 

R-squared

0.086156

Mean dependent var

1.287811

Adjusted R-squared

0.045541

S.D. dependent var

0.544497

S.E. of regression

0.531954

Akaike info criterion

1.626678

Sum squared resid

25.46780

Schwarz criterion

1.761093

Log likelihood

-72.26721

Hannan-Quinn criter.

1.680992

F-statistic

2.121277

Durbin-Watson stat

0.046975

Prob(F-statistic)

0.084604

 

 

 

 

 

 

 

 

 

Interpretation of the impact of monetary policy on stock markets of Japan, USA and UK

The above said table shows that the value of probability statistics for all the independent variables is greater than 0.05 which shows data insignificance for these variables with the dependent variable IT. The overall value of R-square shows that for 1% change in the independent variables (inflation, output gap and unemployment) there exists 0.08 points change in the dependent variable IT for UK data.

Chow Breakpoint Test: 2008Q1

 

Null Hypothesis: No breaks at specified breakpoints

Varying regressors: All equation variables

 

Equation Sample: 1995Q1 2018Q4

 

 

 

 

 

 

 

 

 

 

 

F-statistic

48.95387

 

Prob. F(4,88)

0.0000

Log likelihood ratio

112.4148

 

Prob. Chi-Square(4)

0.0000

Wald Statistic

195.8155

 

Prob. Chi-Square(4)

0.0000

 

 

 

 

 

 

 

 

 

 


Interpretation of the impact of monetary policy on stock markets of Japan, USA and UK

The above table shows that the value of F-statistics is change for United States of America. It is 48.95387. The degree of freedom (Prob. F) is (4, 88) for United States of America and it is similar to United Kingdom. For USA, the p-value of F-statistics is 0.0000. This value is less than 5%. So, H0 is rejected. This rejection of null hypothesis indicates that there exist structural breaks in the data for United States of America.

 

Dependent Variable: IT

 

 

Method: Least Squares

 

 

Date: 08/21/19   Time: 19:37

 

 

Sample (adjusted): 1995Q2 2018Q4

 

Included observations: 95 after adjustments

 

 

 

 

 

 

 

 

 

 

 

Variable

Coefficient

Std. Error

t-Statistic

Prob.

 

 

 

 

 

 

 

 

 

 

C

1.551502

0.178057

8.713507

0.0000

INFLATION

0.158599

0.036976

4.289289

0.0000

OUTPUTGAP

-0.129676

0.045180

-2.870180

0.0051

UNEMPLOYMENT

-0.103921

0.025581

-4.062450

0.0001

S(-1)

0.000834

0.002389

0.349022

0.7279

 

 

 

 

 

 

 

 

 

 

R-squared

0.309782

Mean dependent var

1.307775

Adjusted R-squared

0.279106

S.D. dependent var

0.407732

S.E. of regression

0.346187

Akaike info criterion

0.767520

Sum squared resid

10.78608

Schwarz criterion

0.901935

Log likelihood

-31.45720

Hannan-Quinn criter.

0.821834

F-statistic

10.09839

Durbin-Watson stat

0.166569

Prob(F-statistic)

0.000001

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Interpretation of the impact of monetary policy on stock markets of Japan, USA and UK

The above said table shows that the value of probability statistics for inflation is less than 0.05 which shows that there exists data significance for this study variable. This value is greater than 0.05 for the other study variables which shows insignificance. The overall value of R-square shows that for 1% change in the independent variables (inflation, output gap and unemployment) there exists 3% change in the dependent variable IT for United States of America data

Heteroskedasticity Test: White of the impact of monetary policy on stock markets of Japan, USA and UK

Japan

Heteroskedasticity Test: White

 

Null hypothesis: Homoskedasticity

 

 

 

 

 

 

 

 

 

 

 

F-statistic

8.942305

Prob. F(14,77)

0.0000

Obs*R-squared

56.96404

Prob. Chi-Square(14)

0.0000

Scaled explained SS

62.30831

Prob. Chi-Square(14)

0.0000

 

 

 

 

 

 

 

 

 

 

United Kingdom

 

 

 

 

 

 

 

Heteroskedasticity Test: White

 

 

 

 

 

 

 

Null hypothesis: Homoskedasticity

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

F-statistic

3.386089

Prob. F(14,80)

0.0003

 

 

Obs*R-squared

35.34782

Prob. Chi-Square(14)

0.0013

 

 

Scaled explained SS

15.51256

Prob. Chi-Square(14)

0.3440

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

USA

Heteroskedasticity Test: White

 

Null hypothesis: Homoskedasticity

 

 

 

 

 

 

 

 

 

 

 

F-statistic

4.385772

Prob. F(14,80)

0.0000

Obs*R-squared

41.25208

Prob. Chi-Square(14)

0.0002

Scaled explained SS

22.11176

Prob. Chi-Square(14)

0.0763

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Interpretation of the impact of monetary policy on stock markets of Japan, USA and UK

        The white test is referred as the statistical test which can establishes either errors in the variance of the regression model is constant or not.The value of the F statics for data of Japan is 8.942305 and it shows the fitness of the model for further analysis.  The value of the Obs R- squared is 56.96404 it represent that there is 56% effects on the independent variables.The probability Chi-squared is less than 0.05. The value of the F statics for data of UK is 3.386089 and it shows the fitness of the model for further analysis.  The value of the Obs R- squared is 35.34782 it represent that there is 35% effects on the independent variables. The probability Chi-squared is less than 0.05.The probability Chi-squared is less than 0.05. The value of the F statics for data of USA is 4.385772 and it shows the fitness of the model for further analysis.  The value of the Obs R- squared is 41.25208 it represent that there is 41% effects on the independent variables. The probability Chi-squared is less than 0.05.

Breusch-Godfrey Serial Correlation LM Test of the impact of monetary policy on stock markets of Japan, USA and UK

Japan

Breusch-Godfrey Serial Correlation LM Test:

 

Null hypothesis: No serial correlation at up to 2 lags

 

 

 

 

 

 

 

 

 

 

F-statistic

98.87671

Prob. F(2,85)

0.0000

Obs*R-squared

64.34339

Prob. Chi-Square(2)

0.0000

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

UK

Breusch-Godfrey Serial Correlation LM Test:

 

Null hypothesis: No serial correlation at up to 2 lags

 

 

 

 

 

 

 

 

 

 

F-statistic

717.3880

Prob. F(2,88)

0.0000

Obs*R-squared

89.51003

Prob. Chi-Square(2)

0.0000

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

USA

Breusch-Godfrey Serial Correlation LM Test:

 

Null hypothesis: No serial correlation at up to 2 lags

 

 

 

 

 

 

 

 

 

 

F-statistic

242.7437

Prob. F(2,88)

0.0000

Obs*R-squared

80.42252

Prob. Chi-Square(2)

0.0000

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Interpretation of the impact of monetary policy on stock markets of Japan, USA and UK

This is the test which is used to auto correlation in case of any errors in the model of regression. The use of residual made by it from the model that is beings considered in regression analysis and from all of these test statistics is derived in the form ofF-statistics. The value of the F-statistics is98.87671 for the data of Japan which is more than 10 and it represent that null hypothesis is true for full model. The F-statics value is 717.3880, 242.7437 for UK and USA respectively. It means null hypothesis is true for this complete model.

HAC standard errors & covariance (Bartlett kernel, Newey-West fixed

Japan

Dependent Variable: IT

 

 

Method: Least Squares

 

 

Date: 08/23/19   Time: 15:44

 

 

Sample (adjusted): 1995Q2 2018Q4

 

Included observations: 92 after adjustments

 

HAC standard errors & covariance (Bartlett kernel, Newey-West fixed

bandwidth = 4.0000)

 

 

 

 

 

 

 

 

 

 

 

 

Variable

Coefficient

Std. Error

t-Statistic

Prob.

 

 

 

 

 

 

 

 

 

 

C

-3.477724

1.741795

-1.996633

0.0490

INFLATION

0.018872

0.172436

0.109444

0.9131

OUTPUTGAP

0.256079

0.101065

2.533815

0.0131

UNEMPLOYMENT

0.821844

0.386524

2.126241

0.0363

S(-1)

-0.006265

0.005145

-1.217750

0.2266

 

 

 

 

 

 

 

 

 

 

R-squared

0.357275

Mean dependent var

-0.047285

Adjusted R-squared

0.327725

S.D. dependent var

1.047076

S.E. of regression

0.858523

Akaike info criterion

2.585609

Sum squared resid

64.12437

Schwarz criterion

2.722662

Log likelihood

-113.9380

Hannan-Quinn criter.

2.640925

F-statistic

12.09031

Durbin-Watson stat

0.228105

Prob(F-statistic)

0.000000

Wald F-statistic

3.255777

Prob(Wald F-statistic)

0.015433

 

 

 

 

 

 

 

 

 

 

 

 

 

United Kingdom of the impact of monetary policy on stock markets of Japan, USA and UK

Dependent Variable: IT

 

 

Method: Least Squares

 

 

Date: 08/23/19   Time: 17:12

 

 

Sample (adjusted): 1995Q2 2018Q4

 

Included observations: 95 after adjustments

 

HAC standard errors & covariance (Bartlett kernel, Newey-West fixed

bandwidth = 4.0000)

 

 

 

 

 

 

 

 

 

 

 

 

Variable

Coefficient

Std. Error

t-Statistic

Prob.

 

 

 

 

 

 

 

 

 

 

C

0.531592

0.637258

0.834186

0.4064

INFLATION

-0.014072

0.143074

-0.098354

0.9219

OUTPUTGAP

0.070926

0.078531

0.903163

0.3689

UNEMPLOYENT

0.129796

0.120081

1.080906

0.2826

S(-1)

0.001737

0.005650

0.307451

0.7592

 

 

 

 

 

 

 

 

 

 

R-squared

0.086156

Mean dependent var

1.287811

Adjusted R-squared

0.045541

S.D. dependent var

0.544497

S.E. of regression

0.531954

Akaike info criterion

1.626678

Sum squared resid

25.46780

Schwarz criterion

1.761093

Log likelihood

-72.26721

Hannan-Quinn criter.

1.680992

F-statistic

2.121277

Durbin-Watson stat

0.046975

Prob(F-statistic)

0.084604

Wald F-statistic

0.634759

Prob(Wald F-statistic)

0.639007

 

 

 

 

 

 

 

 

 

 

 

 

 

United States of America of the impact of monetary policy on stock markets of Japan, USA and UK

Dependent Variable: IT

 

 

Method: Least Squares

 

 

Date: 08/21/19   Time: 19:42

 

 

Sample (adjusted): 1995Q2 2018Q4

 

Included observations: 95 after adjustments

 

HAC standard errors & covariance (Bartlett kernel, Newey-West fixed

bandwidth = 4.0000)

 

 

 

 

 

 

 

 

 

 

 

 

Variable

Coefficient

Std. Error

t-Statistic

Prob.

 

 

 

 

 

 

 

 

 

 

C

1.551502

0.357423

4.340800

0.0000

INFLATION

0.158599

0.052325

3.031043

0.0032

OUTPUTGAP

-0.129676

0.066942

-1.937123

0.0559

UNEMPLOYMENT

-0.103921

0.049994

-2.078670

0.0405

S(-1)

0.000834

0.003357

0.248414

0.8044

 

 

 

 

 

 

 

 

 

 

R-squared

0.309782

Mean dependent var

1.307775

Adjusted R-squared

0.279106

S.D. dependent var

0.407732

S.E. of regression

0.346187

Akaike info criterion

0.767520

Sum squared resid

10.78608

Schwarz criterion

0.901935

Log likelihood

-31.45720

Hannan-Quinn criter.

0.821834

F-statistic

10.09839

Durbin-Watson stat

0.166569

Prob(F-statistic)

0.000001

Wald F-statistic

4.673895

Prob(Wald F-statistic)

0.001790

 

 

 

 

 

 

 

 

 

 

 

 

 

Interpretation of the impact of monetary policy on stock markets of Japan, USA and UK

The above given result of the HAC standard errors & covariance illustrates the test statics as well as values of associated probability.  The test statistics are carried by using the test regression that is reported below.The R square is observed by this labeled by the statistic. It represent that no serial correlation is occurred. The (effectively) zero probability value strongly indicates the presence of serial correlation in the residuals(Gregoriou, 2009).

Standard errors & covariance computed using estimation weighting matrix

instrument specification: inflation(-1) inflation(-2) output gap(-1) output gap(-2) unemployment(-1) unemployment(-2)

 

Japan

Dependent Variable: IT

 

 

Method: Generalized Method of Moments

 

Date: 08/23/19   Time: 15:48

 

 

Sample (adjusted): 1995Q3 2018Q4

 

Included observations: 91 after adjustments

 

Linear estimation with 1 weight update

 

Estimation weighting matrix: HAC (Bartlett kernel, Newey-West fixed

bandwidth = 4.0000)

 

 

Standard errors & covariance computed using estimation weighting matrix

Instrument specification: INFLATION(-1) INFLATION(-2) OUTPUTGAP(-1)

OUTPUTGAP(-2) UNEMPLOYMENT(-1) UNEMPLOYMENT(-2)

Constant added to instrument list

 

 

 

 

 

 

 

 

 

 

 

Variable

Coefficient

Std. Error

t-Statistic

Prob.

 

 

 

 

 

 

 

 

 

 

C

-3.675220

1.406869

-2.612339

0.0106

INFLATION

0.040330

0.164805

0.244716

0.8073

OUTPUTGAP

0.368843

0.120402

3.063430

0.0029

UNEMPLOYMENT

0.859934

0.326642

2.632654

0.0100

S(-1)

-0.023762

0.008375

-2.837433

0.0057

 

 

 

 

 

 

 

 

 

 

R-squared

0.246751

Mean dependent var

-0.060842

Adjusted R-squared

0.211717

S.D. dependent var

1.044726

S.E. of regression

0.927564

Sum squared resid

73.99222

Durbin-Watson stat

0.447644

J-statistic

0.005530

Instrument rank

7

Prob(J-statistic)

0.997239

 

 

 

 

 

 

 

 

 

 

USA

Dependent Variable: IT

 

 

Method: Generalized Method of Moments

 

Date: 08/21/19   Time: 19:44

 

 

Sample (adjusted): 1995Q3 2018Q4

 

Included observations: 94 after adjustments

 

Linear estimation with 1 weight update

 

Estimation weighting matrix: HAC (Bartlett kernel, Newey-West fixed

bandwidth = 4.0000)

 

 

Standard errors & covariance computed using estimation weighting matrix

Instrument specification: INFLATION(-1) INFLATION(-2) OUTPUTGAP(-1)

OUTPUTGAP(-2) UNEMPLOYMENT(-1) UNEMPLOYMENT(-2)

Constant added to instrument list

 

 

 

 

 

 

 

 

 

 

 

Variable

Coefficient

Std. Error

t-Statistic

Prob.

 

 

 

 

 

 

 

 

 

 

C

1.898206

0.301026

6.305779

0.0000

INFLATION

0.140782

0.048610

2.896158

0.0047

OUTPUTGAP

-0.163490

0.062988

-2.595574

0.0110

UNEMPLOYMENT

-0.148646

0.045212

-3.287744

0.0014

 

 

 

 

 

 

 

 

 

 

R-squared

0.261979

Mean dependent var

1.301581

Adjusted R-squared

0.237378

S.D. dependent var

0.405399

S.E. of regression

0.354027

Sum squared resid

11.28018

Durbin-Watson stat

0.158024

J-statistic

8.560404

Instrument rank

7

Prob(J-statistic)

0.035744

 

 

 

 

 

 

 

 

 

 

UK

Dependent Variable: IT

 

 

Method: Generalized Method of Moments

 

Date: 08/23/19   Time: 17:14

 

 

Sample (adjusted): 1995Q3 2018Q4

 

Included observations: 94 after adjustments

 

Linear estimation with 1 weight update

 

Estimation weighting matrix: HAC (Bartlett kernel, Newey-West fixed

bandwidth = 4.0000)

 

 

Standard errors & covariance computed using estimation weighting matrix

Instrument specification: INFLATION(-1) INFLATION(-2) OUTPUTGAP(-1)

OUTPUTGAP(-2) UNEMPLOYENT(-1) UNEMPLOYENT(-2)

Constant added to instrument list

 

 

 

 

 

 

 

 

 

 

 

Variable

Coefficient

Std. Error

t-Statistic

Prob.

 

 

 

 

 

 

 

 

 

 

C

0.506287

0.653400

0.774851

0.4405

INFLATION

0.006609

0.117480

0.056257

0.9553

OUTPUTGAP

0.080926

0.089713

0.902047

0.3695

UNEMPLOYENT

0.132242

0.125488

1.053824

0.2948

S(-1)

-0.001851

0.006020

-0.307455

0.7592

 

 

 

 

 

 

 

 

 

 

R-squared

0.061600

Mean dependent var

1.279071

Adjusted R-squared

0.019425

S.D. dependent var

0.540677

S.E. of regression

0.535400

Sum squared resid

25.51211

Durbin-Watson stat

0.052117

J-statistic

0.238791

Instrument rank

7

Prob(J-statistic)

0.887457

 

 

 

 

 

 

 

 

 

 

Interpretation of the impact of monetary policy on stock markets of Japan, USA and UK

        The above given analysis are representing that all of the variables has positive significant relationship with the dependent variables and it shows if the unemployment and inflation sustain up to specified limit than the stock price will increase. If it will not sustain from its specified limit than the stock price will decrease.

Summary of the results of the impact of monetary policy on stock markets of Japan, USA and UK

        The results are analyzed by using the E-views because this tool is also used for model simulations and generating forecast.  There are four constructs that are chosen as variables in this study and these are; inflation, output gap, unemployment and IT. IT is dependent variable meanwhile the remaining three are independent variables. It is one of the ideal packages to efficiently and quickly managing data. The equation of the regression is used as the empirical strategy in this study. All of tests are conducted by using the VAR and SVAR model of regression. Firstly, the stationary test is applied to measure the effectiveness and authentication of the data. This tests tells about either regression can be applied on the particular data or not. All of the values are shown as significant because these are less than 0.05 which shows data is reliable for regression and cross correlation analysis.

        The effects of monetary policy on Stock markets are measured by generating the trends line among the time (years) and values. The scale is set out with the difference of 2. All of the trends lines are not constant because the fluctuation is existed in these trends lines. There is gradual fluctuation occurs in the inflation rate of the Japan during 1994 to 2018 but in 2009 it reached at -2 which shows the bad conditions of Japan and it was due to 2008 FED crisis. In 2009 there were abrupt fluctuations and the value of output Gap reached at -3 than it reached at -1.6 in 2010 in United Kingdom.

        In 2009 there were abrupt fluctuations and the value of output Gap reached at -3.  The regression results shows the positive relationship of dependent and independent variables as; there is positive relationship among monetary policy and stick market price in Japan and the level of significance for two variables are less than 0.05 meanwhile for 0.9485 for inflation rate. It means inflation rate has positive insignificant relationship with the IT. The results are concluded by the data of Japan all of the variables has positive significant relationship with IT meanwhile according to the financial report of USA output gap and unemployment have negative and inflation has positive significant relationship. According to the financial report of UK Inflation rate have significant negative relationship with IT.

        The Wald Test is conducted to measure the probability of data. It is indicated by the low probability value which is 0.000 that the null hypothesis is strongly rejected because it is equal to 0.5. Such kind of the results can carefully accept without any extra analysis. The null hypothesis is strongly rejected because it is equal to 0.5 for the data of all countries. The residual and the actual graphs have shown the abrupt fluctuations at certain points. For the year 2003, residual value got decreased and reached to a negative value (-1) from 2. The fluctuation to the values of market shares is slow for every of the year. Chow test is helping to determine the existence of the break points in the study data. For every test that is a part of break-point, F-Test value is the same. The value of F-statistics is change for every Country (Japan, UK and USA).

References of the impact of monetary policy on stock markets of Japan, USA and UK

Caggiano, G. C. E. &. G. N., 2014. Uncertainty shocks and unemployment dynamics in US recessions.. Journal of Monetary Economics, 67(1), pp. 78-92..

Chuku, C. A., 2009. Measuring the effects of monetary policy innovations in Nigeria: A structural vector autoregressive (SVAR) approach.. African Journal of Accounting, Economics, Finance and Banking Research, 5(5).

De Maio, A. &. I. S., 2008. Coincidence of the Rao test, Wald test, and GLRT in partially homogeneous environment.. IEEE Signal Processing Letters, 15, , pp. 385-388..

Eviews, 2019. An Introduction to EViews. [Online]
Available at: https://www.eviews.com/home.html

Gambacorta, L. H. B. &. P. G., 2014. The effectiveness of unconventional monetary policy at the zero lower bound: A cross‐country analysis.. Journal of Money, Credit and Banking, 46(4), pp. 615-642..

Gregoriou, A. K. A. M. R. &. M. A., 2009. Monetary policy shocks and stock returns: evidence from the British market.. Financial Markets and Portfolio Management,, 23(4), pp. 401-410.

Ioannidis, C. &. K. A., 2008. The impact of monetary policy on stock prices. Journal of policy modeling, 30(1), pp. 33-53..

Kerongo Maatwa Meshack, M. W. N., 2016. THE EFFECT OF MONETARY POLICY ON FINANCIAL PERFORMANCE OF THE COMMERCIAL BANKS LISTED ON THE NAIROBI SECURITIES EXCHANGE. International Journal of Finance and Accounting, Vol.1(1), pp. 74 - 87,.

Kibbe, M., 2011. The Federal Reserve Deserves Blame For The Financial Crisis, s.l.: forbes.

Kurihara, Y., 2006. The relationship between exchange rate and stock prices during the quantitative easing policy in Japan.. International Journal of Business, 11(4), p. 375..

Lee, C. C. L. J. D. &. L. C. C., 2010. Stock prices and the efficient market hypothesis: Evidence from a panel stationary test with structural breaks.. Japan and the world economy, 22(1), pp. 49-58..

Miyao, R., 2002. The effects of monetary policy in Japan.. Journal of Money, Credit and Banking,, pp. 376-392..

Roy, A. G., 2012. US Foreign Indebtedness, Monetary Policy, and Economic Growth.. Journal of Economic & Management Perspectives, 6(2), pp. , 196.

 

 

 

Our Top Online Essay Writers.

Discuss your homework for free! Start chat

Top Rated Expert

ONLINE

Top Rated Expert

1869 Orders Completed

ECFX Market

ONLINE

Ecfx Market

63 Orders Completed

Assignments Hut

ONLINE

Assignments Hut

1428 Orders Completed