Pacific Funds Floating Fund Chance Of Distress
| PLBCX Fund | USD 9.52 0.01 0.11% |
Pacific |
Pacific Funds Floating Mutual Fund chance of distress Analysis
Pacific Funds' 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 Pacific Funds Probability Of Bankruptcy | Less than 16% |
Most of Pacific Funds' 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, Pacific Funds Floating is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of Pacific Funds 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 Pacific Funds 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 Pacific Funds Floating 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, Pacific Funds Floating has a Probability Of Bankruptcy of 16.0%. This is much higher than that of the Pacific Funds Series Trust family and significantly higher than that of the Bank Loan category. The probability of bankruptcy for all United States funds is notably lower than that of the firm.
Pacific Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Pacific Funds' 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 Pacific Funds could also be used in its relative valuation, which is a method of valuing Pacific Funds by comparing valuation metrics of similar companies.Pacific Funds is currently under evaluation in probability of bankruptcy among similar funds.
Pacific Fundamentals
| Total Asset | 112.31 M | ||||
| Annual Yield | 0.08 % | ||||
| Year To Date Return | 2.52 % | ||||
| One Year Return | 10.77 % | ||||
| Three Year Return | 4.98 % | ||||
| Five Year Return | 3.86 % | ||||
| Net Asset | 3.88 B | ||||
| Last Dividend Paid | 0.02 | ||||
| Cash Position Weight | 7.02 % | ||||
| Bond Positions Weight | 9.63 % |
About Pacific Funds Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Pacific Funds Floating's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Pacific Funds using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Pacific Funds Floating 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 Pacific Funds 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, Pacific Funds' short interest history, or implied volatility extrapolated from Pacific Funds options trading.
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Check out Your Equity Center to better understand how to build diversified portfolios, which includes a position in Pacific Funds Floating. 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 main economic indicators. Note that the Pacific Funds Floating information on this page should be used as a complementary analysis to other Pacific Funds' 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.