Robert Gahagan - Ginnie Mae Fund Manager
| BGNAX Fund | USD 8.63 0.01 0.12% |
Mr. Gahagan, Senior Vice President and Senior Portfolio Manager, joined American Century Investments in 1983.He became a portfolio manager in 1991.He has a bachelors degree in economics and an MBA from the University of Missouri Kansas City.
| Phone | 800-345-2021 |
Ginnie Mae Management Performance (%)
Similar Money Managers
| Found 1 records | One Year Return | ||
| Jeffrey Houston | Diversified Bond Fund | N/A | |
Ginnie 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 Ginnie Mae 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 | 9.95 M | ||||
| Annual Yield | 0 % | ||||
| Year To Date Return | 4.15 % | ||||
| One Year Return | (1.95) % | ||||
| Three Year Return | (4.39) % | ||||
| Five Year Return | (1.24) % | ||||
| Ten Year Return | 2.49 % | ||||
| Net Asset | 464.47 M | ||||
| Last Dividend Paid | 0.01 | ||||
| Cash Position Weight | 0.69 % |
Pair Trading with Ginnie Mae
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 Ginnie Mae 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 Ginnie Mae will appreciate offsetting losses from the drop in the long position's value.Moving together with Ginnie Mutual Fund
| 0.87 | CDBCX | Diversified Bond | PairCorr |
The ability to find closely correlated positions to Ginnie Mae could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ginnie Mae 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 Ginnie Mae - 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 Ginnie Mae Fund to buy it.
The correlation of Ginnie Mae 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 Ginnie Mae moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ginnie Mae 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 Ginnie Mae 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 Ginnie Mae Fund. 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 Ginnie Mae Fund information on this page should be used as a complementary analysis to other Ginnie Mae'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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.