Grandeur Peak Emerging Fund Filter Stocks by Fundamentals

GPEOX Fund  USD 12.30  0.01  0.08%   
Grandeur Peak Emerging fundamentals help investors to digest information that contributes to Grandeur Peak's financial success or failures. It also enables traders to predict the movement of Grandeur Mutual Fund. The fundamental analysis module provides a way to measure Grandeur Peak'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 Grandeur Peak mutual fund.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

Did you try this?

Run Idea Optimizer Now

   

Idea Optimizer

Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio
All  Next Launch Module

Fund Asset Allocation for Grandeur Peak

The fund consists of 95.4% investments in stocks, with the rest of investments allocated between different money market instruments.
Asset allocation divides Grandeur Peak'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.

Grandeur Fundamentals

About Grandeur Peak Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Grandeur Peak Emerging's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Grandeur Peak using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Grandeur Peak Emerging 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 Grandeur Mutual Fund

Grandeur Peak financial ratios help investors to determine whether Grandeur 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 Grandeur with respect to the benefits of owning Grandeur Peak security.
Stocks Directory
Find actively traded stocks across global markets
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Earnings Calls
Check upcoming earnings announcements updated hourly across public exchanges
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm