Commodity Return Financials
CCRSX Fund | USD 18.80 0.13 0.70% |
Commodity |
Please note that you must use caution to infer results of funds future performance. Investment returns and principal value will fluctuate so that investors' shares, when sold, may be worth more or less than their original cost.
Commodity Return Fund Summary
Commodity Return competes with Credit Suisse, Credit Suisse, Credit Suisse, Credit Suisse, and Credit Suisse. The fund is designed to achieve positive total return relative to the performance of the Bloomberg Commodity Index Total Return . The advisor intends to invest its assets in a combination of commodity-linked derivative instruments and fixed income securities. The Advisor intends to gains exposure to commodities markets by investing through the Subsidiary and in structured notes linked to the BCOM Index, other commodity indices, or the value of a particular commodity or commodity futures contract or subset of commodities or commodity futures contracts. The fund is non-diversified.Specialization | Commodities Broad Basket, Commodities Broad Basket |
Instrument | USA Mutual Fund View All |
Exchange | NMFQS Exchange |
ISIN | US22544K8889 |
Business Address | Credit Suisse Trust |
Mutual Fund Family | Credit Suisse (New York, NY) |
Mutual Fund Category | Commodities Broad Basket |
Benchmark | Dow Jones Industrial |
Phone | 877 870 2874 |
Currency | USD - US Dollar |
Commodity Return Key Financial Ratios
Commodity Financial Ratios Relationships
Comparative valuation techniques use various fundamental indicators to help in determining Commodity Return's current stock value. Our valuation model uses many indicators to compare Commodity Return value to that of its competitors to determine the firm's financial worth. You can analyze the relationship between different fundamental ratios across Commodity Return competition to find correlations between indicators driving Commodity Return's intrinsic value. More Info.Commodity Return Strategy is rated below average in annual yield among similar funds. It is the top fund in year to date return among similar funds creating about 477.53 of Year To Date Return per Annual Yield. The reason why the comparable model can be used in almost all circumstances is due to the vast number of multiples that can be utilized, such as the price-to-earnings (P/E), price-to-book (P/B), price-to-sales (P/S), price-to-cash flow (P/CF), and many others. The P/E ratio is the most commonly used of these ratios because it focuses on the Commodity Return's earnings, one of the primary drivers of an investment's value.Commodity Return Strategy Systematic Risk
Commodity Return's systematic risk plays a vital role in portfolio allocation when considering its stock to be added to a well-diversified portfolio. Commodity Return volatility which cannot be eliminated through diversification, requires returns over the risk-free rate. Over the long run, a well-diversified portfolio provides returns that match its exposure to systematic risk. In this case, investors face a trade-off between expected returns and systematic risk and, therefore, can only reduce a portfolio's exposure to systematic risk by sacrificing expected returns on the portfolio.
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Beta measures systematic risk based on how returns on Commodity Return Strategy correlated with the market. If Beta is less than 0 Commodity Return generally moves in the opposite direction as compared to the market. If Commodity Return Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Commodity Return Strategy is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Commodity Return is generally in the same direction as the market. If Beta > 1 Commodity Return moves generally in the same direction as, but more than the movement of the benchmark.
Commodity Return July 20, 2025 Opportunity Range
Along with financial statement analysis, the daily predictive indicators of Commodity Return help investors to analyze its daily demand and supply, volume, patterns, and price swings to determine the real value of Commodity Return Strategy. We use our internally-developed statistical techniques to arrive at the intrinsic value of Commodity Return Strategy based on widely used predictive technical indicators. In general, we focus on analyzing Commodity Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Commodity Return's daily price indicators and compare them against related drivers.
Downside Deviation | 0.7932 | |||
Information Ratio | (0.08) | |||
Maximum Drawdown | 4.42 | |||
Value At Risk | (0.84) | |||
Potential Upside | 1.39 |
Other Information on Investing in Commodity Mutual Fund
Commodity Return financial ratios help investors to determine whether Commodity 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 Commodity with respect to the benefits of owning Commodity Return security.
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