Johcm Emerging Markets Fund Chance Of Distress
| JOEAX Fund | USD 11.70 0.04 0.34% |
Johcm |
Johcm Emerging Markets Mutual Fund chance of distress Analysis
Johcm Emerging'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 Johcm Emerging Probability Of Bankruptcy | Less than 22% |
Most of Johcm Emerging'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, Johcm Emerging Markets is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of Johcm Emerging 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 Johcm Emerging 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 Johcm Emerging Markets 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.
| Competition |
Based on the latest financial disclosure, Johcm Emerging Markets has a Probability Of Bankruptcy of 22.0%. This is much higher than that of the JOHCM Funds family and significantly higher than that of the Diversified Emerging Mkts category. The probability of bankruptcy for all United States funds is notably lower than that of the firm.
Johcm Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Johcm Emerging'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 Johcm Emerging could also be used in its relative valuation, which is a method of valuing Johcm Emerging by comparing valuation metrics of similar companies.Johcm Emerging is currently under evaluation in probability of bankruptcy among similar funds.
Johcm Fundamentals
| Price To Earning | 11.16 X | ||||
| Price To Book | 1.36 X | ||||
| Price To Sales | 0.95 X | ||||
| Total Asset | 21.32 M | ||||
| Annual Yield | 0.01 % | ||||
| Year To Date Return | 7.66 % | ||||
| One Year Return | 12.41 % | ||||
| Three Year Return | (0.83) % | ||||
| Five Year Return | 3.81 % | ||||
| Net Asset | 863.82 M | ||||
| Last Dividend Paid | 0.12 | ||||
| Cash Position Weight | 3.00 % | ||||
| Equity Positions Weight | 97.00 % |
About Johcm Emerging Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Johcm Emerging Markets's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Johcm Emerging using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Johcm Emerging Markets 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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Johcm Mutual Fund
Johcm Emerging financial ratios help investors to determine whether Johcm Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Johcm with respect to the benefits of owning Johcm Emerging security.
| Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
| Fundamental Analysis View fundamental data based on most recent published financial statements | |
| FinTech Suite Use AI to screen and filter profitable investment opportunities | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |