Kopernik Global All Cap Fund Price To Earning
| KGGAX Fund | USD 11.99 0.11 0.93% |
Kopernik Global All Cap fundamentals help investors to digest information that contributes to Kopernik Global's financial success or failures. It also enables traders to predict the movement of Kopernik Mutual Fund. The fundamental analysis module provides a way to measure Kopernik Global'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 Kopernik Global mutual fund.
Kopernik |
Kopernik Global All Cap Mutual Fund Price To Earning Analysis
Kopernik Global's Price to Earnings ratio is typically used for current valuation of a company and is one of the most popular ratios that investors monitor daily. Holding a low PE stock is less risky because when a company's profitability falls, it is likely that earnings will also go down as well. In other words, if you start from a lower position, your downside risk is limited. There are also some investors who believe that low Price to Earnings ratio reflects the low pricing because a given company is in trouble. On the other hand, a higher PE ratio means that investors are paying more for each unit of profit.
Current Kopernik Global Price To Earning | 10.69 X |
Most of Kopernik Global's fundamental indicators, such as Price To Earning, 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, Kopernik Global All Cap is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Generally speaking, the Price to Earnings ratio gives investors an idea of what the market is willing to pay for the company's current earnings.
| Competition |
Based on the latest financial disclosure, Kopernik Global All Cap has a Price To Earning of 10.69 times. This is much higher than that of the Kopernik family and significantly higher than that of the Foreign Small/Mid Value category. The price to earning for all United States funds is notably lower than that of the firm.
Kopernik Price To Earning Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Kopernik Global's direct or indirect competition against its Price To Earning to detect undervalued stocks with similar characteristics or determine the mutual funds which would be a good addition to a portfolio. Peer analysis of Kopernik Global could also be used in its relative valuation, which is a method of valuing Kopernik Global by comparing valuation metrics of similar companies.Kopernik Global is currently under evaluation in price to earning among similar funds.
Fund Asset Allocation for Kopernik Global
The fund consists of 87.51% investments in stocks, with the rest of investments allocated between different money market instruments and various exotic instruments.Asset allocation divides Kopernik Global's investment portfolio among different asset categories to balance risk and reward by investing in a diversified mix of instruments that align with the investor's goals, risk tolerance, and time horizon. Mutual funds, which pool money from multiple investors to buy a diversified portfolio of securities, use asset allocation strategies to manage the risk and return of their portfolios.
Mutual funds allocate their assets by investing in a diversified portfolio of securities, such as stocks, bonds, cryptocurrencies and cash. The specific mix of these securities is determined by the fund's investment objective and strategy. For example, a stock mutual fund may invest primarily in equities, while a bond mutual fund may invest mainly in fixed-income securities. The fund's manager, responsible for making investment decisions, will buy and sell securities in the fund's portfolio as market conditions and the fund's objectives change.
Kopernik Fundamentals
| Price To Earning | 10.69 X | |||
| Price To Book | 0.64 X | |||
| Price To Sales | 0.72 X | |||
| Total Asset | 79.19 M | |||
| Annual Yield | 0.04 % | |||
| Year To Date Return | 1.28 % | |||
| One Year Return | 9.07 % | |||
| Three Year Return | 2.79 % | |||
| Five Year Return | 11.43 % | |||
| Net Asset | 2.1 B | |||
| Cash Position Weight | 5.93 % | |||
| Equity Positions Weight | 87.51 % |
About Kopernik Global Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Kopernik Global All Cap's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Kopernik Global using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Kopernik Global All Cap 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 Kopernik Global 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, Kopernik Global's short interest history, or implied volatility extrapolated from Kopernik Global options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Kopernik Global All Cap. 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. Note that the Kopernik Global All information on this page should be used as a complementary analysis to other Kopernik Global'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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.