iShares Russell 1000 ETF is Red Cedar Investment Management LLCs 2nd Largest Position
| MBXCX Fund | USD 38.83 0.06 0.15% |
Slightly above 62% of Catalystmillburn's investor base is looking to short. The analysis of overall sentiment of trading Catalystmillburn Hedge Strategy mutual fund suggests that many investors are alarmed at this time. Catalystmillburn's investing sentiment can be driven by a variety of factors including economic data, Catalystmillburn's earnings reports, geopolitical events, and overall market trends.
Catalystmillburn |
Red Cedar Investment Management LLC decreased its holdings in iShares Russell 1000 ETF by 0.6 percent in the third quarter, Holdings Channel.com reports. The institutional investor owned 527,447 shares of the companys stock after selling 3,369 shares during the period. iShares Russell 1000 ETF makes up 21.0 percent of Red Cedar Investment Management
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Catalystmillburn Fundamental Analysis
We analyze Catalystmillburn's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Catalystmillburn using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Catalystmillburn 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.
Probability Of Bankruptcy
Probability Of Bankruptcy Comparative Analysis
Catalystmillburn is regarded fourth largest fund in probability of bankruptcy among similar 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.
Catalystmillburn Hedge Potential Pair-trading
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Catalystmillburn mutual fund to make a market-neutral strategy. Peer analysis of Catalystmillburn could also be used in its relative valuation, which is a method of valuing Catalystmillburn by comparing valuation metrics with similar companies.
Peers
Catalystmillburn Related Equities
| BRBCX | Blackrock Tactical | 0.36 | ||||
| MBXIX | Catalystmillburn | 0.12 | ||||
| MBXAX | Catalystmillburn | 0.15 | ||||
| MBXCX | Catalystmillburn | 0.15 | ||||
| MBXFX | Catalystmillburn | 0.16 | ||||
| PBAIX | Blackrock Tactical | 0.27 | ||||
| PCBSX | Blackrock Tactical | 0.27 | ||||
| PCBAX | Blackrock Tactical | 0.27 |
Other Information on Investing in Catalystmillburn Mutual Fund
Catalystmillburn financial ratios help investors to determine whether Catalystmillburn 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 Catalystmillburn with respect to the benefits of owning Catalystmillburn security.
| Equity Valuation Check real value of public entities based on technical and fundamental data | |
| Bollinger Bands Use Bollinger Bands indicator to analyze target price for a given investing horizon | |
| Transaction History View history of all your transactions and understand their impact on performance | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |