Short Term Bond Fund Market Value

Short Term's market value is the price at which a share of Short Term trades on a public exchange. It measures the collective expectations of Short Term Bond Fund investors about its performance.
With this module, you can estimate the performance of a buy and hold strategy of Short Term Bond Fund and determine expected loss or profit from investing in Short Term over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. 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.
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Pair Trading with Short Term

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 Short Term 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 Short Term will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Short Term could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Short Term 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 Short Term - 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 Short Term Bond Fund to buy it.
The correlation of Short Term 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 Short Term moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Short Term Bond 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 Short Term 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.
Pair CorrelationCorrelation Matching
Check out Short Term Correlation, Short Term Volatility and Short Term Alpha and Beta module to complement your research on Short Term.
Note that the Short Term Bond information on this page should be used as a complementary analysis to other Short Term'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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Short Term technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.
A focus of Short Term technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Short Term trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...