John Smet - Bond Fund Fund Manager
CFAAX Fund | USD 10.98 0.04 0.36% |
John H. Smet is a fixedincome portfolio manager at Capital Group. He has 34 years of investment experience and 32 years at Capital. Earlier in his career, as a fixedincome investment analyst at Capital, John covered mortgagebacked securities and railroads. He holds an MBA in finance and a bachelors degree in economics from the University of WisconsinMadison. He also holds the Chartered Financial Analyst designation and is a member of the Los Angeles Society of Financial Analysts. John is based in Los Angeles.
Phone | 800-421-4225 |
Bond Fund Management Performance (%)
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Bond Fund Performance Indicators
The ability to make a profit is the ultimate goal of any investor. But to identify the right mutual fund is not an easy task. Is Bond Fund a good investment? Although profit is still the single most important financial element of any organization, multiple performance indicators can help investors identify the equity that they will appreciate over time.
Total Asset | 75.45 B | ||||
Annual Yield | 0 % | ||||
Year To Date Return | 4.66 % | ||||
One Year Return | (1.31) % | ||||
Three Year Return | (3.64) % | ||||
Five Year Return | 0.42 % | ||||
Ten Year Return | 3.92 % | ||||
Net Asset | 38.92 B | ||||
Cash Position Weight | 2.86 % | ||||
Equity Positions Weight | 0.06 % |
Pair Trading with Bond Fund
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Bond Fund position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Bond Fund will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Bond Fund could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bond Fund when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Bond Fund - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Bond Fund Of to buy it.
The correlation of Bond Fund is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Bond Fund moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bond Fund moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Bond Fund can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Bond Fund Of. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as signals in nation. Note that the Bond Fund information on this page should be used as a complementary analysis to other Bond Fund's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.