Dunham Monthly Distribution Fund Chance Of Distress
| DNMDX Fund | USD 28.89 0.01 0.03% |
Dunham |
Dunham Monthly Distribution Mutual Fund chance of distress Analysis
Dunham Monthly's Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.
More About Probability Of Bankruptcy | All Equity Analysis
Probability Of Bankruptcy | = | Normalized | | Z-Score |
Current Dunham Monthly Probability Of Bankruptcy | Less than 22% |
Most of Dunham Monthly's fundamental indicators, such as Probability Of Bankruptcy, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Dunham Monthly Distribution is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of Dunham Monthly probability of bankruptcy is based on Altman Z-Score and Piotroski F-Score, but not limited to these measures. To be applied to a broader range of industries and markets, we use several other techniques to enhance the accuracy of predicting Dunham Monthly odds of financial distress. These include financial statement analysis, different types of price predictions, earning estimates, analysis consensus, and basic intrinsic valuation. Please use the options below to get a better understanding of different measures that drive the calculation of Dunham Monthly Distribution financial health.
The Probability of Bankruptcy SHOULD NOT be confused with the actual chance of a company to file for chapter 7, 11, 12, or 13 bankruptcy protection. Macroaxis simply defines Financial Distress as an operational condition where a company is having difficulty meeting its current financial obligations towards its creditors or delivering on the expectations of its investors. Macroaxis derives these conditions daily from both public financial statements as well as analysis of stock prices reacting to market conditions or economic downturns, including short-term and long-term historical volatility. Other factors taken into account include analysis of liquidity, revenue patterns, R&D expenses, and commitments, as well as public headlines and social sentiment.
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Based on the latest financial disclosure, Dunham Monthly Distribution has a Probability Of Bankruptcy of 22.0%. This is much higher than that of the Dunham Funds family and significantly higher than that of the Event Driven category. The probability of bankruptcy for all United States funds is notably lower than that of the firm.
Dunham Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Dunham Monthly's direct or indirect competition against its Probability Of Bankruptcy to detect undervalued stocks with similar characteristics or determine the mutual funds which would be a good addition to a portfolio. Peer analysis of Dunham Monthly could also be used in its relative valuation, which is a method of valuing Dunham Monthly by comparing valuation metrics of similar companies.Dunham Monthly is currently under evaluation in probability of bankruptcy among similar funds.
Dunham Fundamentals
| Price To Earning | 15.51 X | ||||
| Price To Book | 2.28 X | ||||
| Price To Sales | 0.96 X | ||||
| Total Asset | 153.51 M | ||||
| Annual Yield | 0.09 % | ||||
| Year To Date Return | 0.20 % | ||||
| One Year Return | 2.74 % | ||||
| Three Year Return | 0.59 % | ||||
| Five Year Return | 1.49 % | ||||
| Ten Year Return | 3.47 % | ||||
| Net Asset | 192.23 M | ||||
| Cash Position Weight | 43.52 % | ||||
| Equity Positions Weight | 56.48 % |
About Dunham Monthly Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Dunham Monthly Distribution's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Dunham Monthly using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Dunham Monthly Distribution based on its fundamental data. In general, a quantitative approach, as applied to this mutual 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 Dunham Monthly 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, Dunham Monthly's short interest history, or implied volatility extrapolated from Dunham Monthly options trading.
Pair Trading with Dunham Monthly
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 Dunham Monthly 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 Dunham Monthly will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Dunham Monthly could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Dunham Monthly 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 Dunham Monthly - 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 Dunham Monthly Distribution to buy it.
The correlation of Dunham Monthly 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 Dunham Monthly moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dunham Monthly Distr 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 Dunham Monthly 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 Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Dunham Monthly Distribution. 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 unemployment. Note that the Dunham Monthly Distr information on this page should be used as a complementary analysis to other Dunham Monthly'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.