Since 30th September
2018, Michael Weaver have been a leading manager. Michael Weaver working at the
company named as FMR Co as a profile manager. With this designation, Mr Weaver
have multiple responsibilities including to ensure the high production
portfolio of the company, Fidelity Bond ETF co-management and same role of co-management
in the Fidelity’s collateralized strategic of loan obligation. Mr. Weaver had
also served in some high income group at different top management level
position such as he was working in Automotive as a portfolio manager and he had
been on this position for around 4 years from 2009 to 2013. However, he had
great experience in the investment industry as he has been working in this
filed since 1998 and later on in 2005 he joined the Fidelity. Before entering
into the professional field, Weaver has completed his education in economics
and from the Wharton School he received BS Economics degree.
Morningstar Style Box of Fidelity High Income
Morningstar is one of the
prominent name in the finance investment industry and it has been working as
partner of Yahoo and accordingly it share its data and information regarding
the investments on the Yahoo Finance platform. Furthermore, the advanced form
of the Morning star is Morningstar Style Box and it is working somehow
differently by guiding about the focus of the investment funds by addressing
the securities in the fund.
Morningstar Category of Fidelity High Income
On the base of the securities
about the portfolio the Morningstar category is assigned because the investment
objectives might not provide complete prospectus of the fund. Subsequently, the Morning category is
effective not only for the investors but at the same time, it is helpful to the
other investment professional to understand the difference between the funds. The
morning start category enables the investment professionals and investors to
understand the associated risk, to develop diversified portfolio, and to
recognize the efficiently working high potential funds. Moreover, the funds are
placed in the category on the base of the statistics and compositions of the
portfolio of the last three years. Subsequently, in case if there is fund with
less than a three years life, then estimation is used regarding the future
performance of the funds and subsequently on the base of the estimation it is
given the permanent category. Moreover, the changes could be made in the
portfolio on the base of the category assignment.
Single Index Model of Fidelity High Income
Following this, the SIM is called
the single Index model with used for a simple asset pricing with an aim to
measure the return of stock as well as the risk. This model was first
introduced in 1963 by William Sharpe and since then it has been using as an
effective model for the finance industry.
Moreover, it is found that the
market (beta) has considerable influence on the equations stock return and at
the same time it has strong expected alpha value and the residual which is the
unexpected component. Following this, the performance of the each stock linked
with the market index performance. SIM is often used by the security analysts
to evaluate the stock, conduct event studies and for computing stock beta.
SUMMARY OUTPUT
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Regression
Statistics
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Multiple R
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0.625548
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R Square
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0.39131
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Adjusted R Square
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0.380631
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Standard Error
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1.276827
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Observations
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59
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ANOVA
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df
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SS
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MS
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F
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Significance F
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Regression
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1
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59.73982
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59.73982
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36.64376
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1.18E-07
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Residual
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57
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92.92632
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1.630286
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Total
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58
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152.6661
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Coefficients
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Standard Error
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t Stat
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P-value
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Lower 95%
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Upper 95%
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Lower 95.0%
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Upper 95.0%
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Intercept
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-0.01698
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0.180712
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-0.09395
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0.92548
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-0.37885
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0.344892
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-0.37885
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0.344892
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Mkt-RF
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0.359822
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0.059441
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6.053409
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1.18E-07
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0.240793
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0.478851
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0.240793
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0.478851
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Assumption of Fidelity High Income
On the base of the single-index model’s assumptions it is found
that there is a single facto of the macro-economics that effect the risk and
this factor of the macro-economic can be defined by the rate of return by focusing the
market index i.e. S&P 500.
Moreover, it is found that with
this model the stock could be sub-divided according to the anticipated excess
return of the stock of the individual with the reason to strong factors which
is presented by the alpha and the it also address the micro-economic events and
their unexpected factors.
Fama French 3 factor Model of Fidelity High Income
Eugene Fama has designed a model
along with the Kenneth French to explain the return of stock and subquently,
the Fama-French-three factor model is used in portfolio and asset pricing. The
designed of this model i.e. French and Fama were the two famous University of
Chicago’s professors. In the model they have discussed about the three factors
that are; Market Risk, Small versus big companies outperformance and the small/book
market versus high/book market outperformance. Moreover, this model does not
consider the size and the ratio of the book and market.
SUMMARY OUTPUT
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Regression
Statistics
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Multiple R
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0.632631
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R Square
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0.400222
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Adjusted R Square
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0.355794
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Standard Error
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1.302176
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Observations
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59
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ANOVA
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df
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SS
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MS
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F
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Significance F
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Regression
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4
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61.10032
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15.27508
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9.00832
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1.2E-05
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Residual
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54
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91.56582
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1.695663
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Total
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58
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152.6661
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Coefficients
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Standard Error
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t Stat
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P-value
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Lower 95%
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Upper 95%
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Lower 95.0%
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Upper 95.0%
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Intercept
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-0.09136
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0.210687
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-0.43365
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0.66627
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-0.51377
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0.331038
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-0.51377
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0.331038
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Mkt-RF
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0.367386
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0.063038
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5.828043
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3.21E-07
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0.241003
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0.493768
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0.241003
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0.493768
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SMB
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-0.04833
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0.075901
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-0.63675
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0.526979
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-0.2005
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0.103842
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-0.2005
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0.103842
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HML
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0.006822
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0.074925
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0.091052
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0.927788
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-0.14339
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0.157038
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-0.14339
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0.157038
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RF
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3.700389
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6.209529
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0.595921
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0.553718
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-8.74897
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16.14975
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-8.74897
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16.14975
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Assumption of Fidelity High Income
It is found from the three factor
model of the Fama-French that around ninety percent of the portfolio of the
diversified returns is compared with the seventy of the average CAMP.
Following this, the small sized show
positive return and at the same time the it shows the positive related ratios
and high book market ratio. Moreover, in the analysis of the β it is found that
higher beta is correlated and in the β test return shows no relationship.
Following this, it is assumed that the under the predictive power of the β the
stock are patronized.