Morgan Stanley China Fund Filter Stocks by Fundamentals
Morgan Stanley China fundamentals help investors to digest information that contributes to Morgan Stanley's financial success or failures. It also enables traders to predict the movement of Morgan Fund. The fundamental analysis module provides a way to measure Morgan Stanley's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Morgan Stanley fund.
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Morgan Fundamentals
| Shares Outstanding | 21.88 M | ||||
| Shares Owned By Institutions | 85.89 % | ||||
| Number Of Shares Shorted | 22.02 K | ||||
| Gross Profit | 42.44 M | ||||
| Short Ratio | 1.10 X | ||||
| Number Of Employees | 15 | ||||
| Beta | 1.01 | ||||
| Market Capitalization | 351.64 M | ||||
| Total Asset | 304.94 M | ||||
| Retained Earnings | (423 K) | ||||
| Annual Yield | 0.03 % | ||||
| Year To Date Return | 0.07 % | ||||
| One Year Return | (15.67) % | ||||
| Three Year Return | (15.18) % | ||||
| Five Year Return | (8.12) % | ||||
| Last Dividend Paid | 1.34 |
About Morgan Stanley Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Morgan Stanley China's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Morgan Stanley using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Morgan Stanley China based on its fundamental data. In general, a quantitative approach, as applied to this fund, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Morgan Stanley in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Morgan Stanley's short interest history, or implied volatility extrapolated from Morgan Stanley options trading.
Pair Trading with Morgan Stanley
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 Morgan Stanley 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 Morgan Stanley will appreciate offsetting losses from the drop in the long position's value.Moving against Morgan Fund
| 0.58 | NTG | Tortoise Mlp Closed | PairCorr |
| 0.54 | FGRIX | Fidelity Growth Me | PairCorr |
| 0.43 | VFINX | Vanguard 500 Index | PairCorr |
| 0.43 | VFIAX | Vanguard 500 Index | PairCorr |
| 0.42 | FPURX | Fidelity Puritan | PairCorr |
The ability to find closely correlated positions to Morgan Stanley could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Morgan Stanley 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 Morgan Stanley - 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 Morgan Stanley China to buy it.
The correlation of Morgan Stanley 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 Morgan Stanley moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Morgan Stanley China 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 Morgan Stanley 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 Morgan Stanley China. Also, note that the market value of any fund could be tightly coupled with the direction of predictive economic indicators such as signals in nation. For more detail on how to invest in Morgan Fund please use our How to Invest in Morgan Stanley guide.Note that the Morgan Stanley China information on this page should be used as a complementary analysis to other Morgan Stanley'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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.