Qs Small Capitalization Fund Equity Positions Weight
| LGSCX Fund | USD 14.01 0.04 0.28% |
Qs Small Capitalization fundamentals help investors to digest information that contributes to Qs Us' financial success or failures. It also enables traders to predict the movement of LGSCX Mutual Fund. The fundamental analysis module provides a way to measure Qs Us' 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 Qs Us mutual fund.
LGSCX |
Qs Small Capitalization Mutual Fund Equity Positions Weight Analysis
Qs Us' Percentage of fund asset invested in equity instruments. About 80% of global funds and ETFs carry equity instruments on their balance sheet.
More About Equity Positions Weight | All Equity Analysis
Stock Percentage | = | % of Equities | in the fund |
Current Qs Us Equity Positions Weight | 99.06 % |
Most of Qs Us' fundamental indicators, such as Equity Positions Weight, 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, Qs Small Capitalization is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Funds with most asset allocated to stocks can be subclassified into many different categories such as market capitalization or investment style.
| Competition |
According to the company disclosure, Qs Small Capitalization has an Equity Positions Weight of 99%. This is much higher than that of the Legg Mason family and significantly higher than that of the Small Blend category. The equity positions weight for all United States funds is notably lower than that of the firm.
LGSCX Equity Positions Weight Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Qs Us' direct or indirect competition against its Equity Positions Weight to detect undervalued stocks with similar characteristics or determine the mutual funds which would be a good addition to a portfolio. Peer analysis of Qs Us could also be used in its relative valuation, which is a method of valuing Qs Us by comparing valuation metrics of similar companies.Qs Small is currently under evaluation in equity positions weight among similar funds.
Fund Asset Allocation for Qs Us
The fund invests 99.06% of asset under management in tradable equity instruments, with the rest of investments concentrated in cash (0.94%) .Asset allocation divides Qs Us' 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.
LGSCX Fundamentals
| Price To Earning | 16.52 X | |||
| Price To Book | 1.63 X | |||
| Price To Sales | 0.70 X | |||
| Total Asset | 160.61 M | |||
| Annual Yield | 0.01 % | |||
| Year To Date Return | 19.34 % | |||
| One Year Return | 33.97 % | |||
| Three Year Return | 5.40 % | |||
| Five Year Return | 12.49 % | |||
| Ten Year Return | 7.54 % | |||
| Net Asset | 215.69 M | |||
| Cash Position Weight | 0.94 % | |||
| Equity Positions Weight | 99.06 % |
About Qs Us Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Qs Small Capitalization's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Qs Us using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Qs Small Capitalization 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 LGSCX Mutual Fund
Qs Us financial ratios help investors to determine whether LGSCX 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 LGSCX with respect to the benefits of owning Qs Us security.
| Content Syndication Quickly integrate customizable finance content to your own investment portal | |
| Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
| Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
| 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 |