Microchips Moorthy to Leave as CEO, With Chairman Retaking Role
| SGTTX Fund | USD 86.84 0.71 0.82% |
Slightly above 50% of Columbia Seligman's investors are presently thinking to get in. The analysis of overall sentiment of trading Columbia Seligman Global mutual fund suggests that some investors are interested at this time. Columbia Seligman's investing sentiment can be driven by a variety of factors including economic data, Columbia Seligman's earnings reports, geopolitical events, and overall market trends.
Columbia |
-- Microchip Technology Inc. Chief Executive Officer Ganesh Moorthy will step down after three years in the role, with Chairman Steve Sanghi returning to the position. Most Read from BloombergNew Yorks Transit Agency Approves 9 Congestion TollParis to Replace Parking Spaces With TreesIn Cleveland, a Forgotten Streetcar Bridge Gets a Long-Awaited LiftAmtrak Wins 300 Million to Fix Its Unreliable NJ-to-NYC ServiceA Bugs Eye View of Mexico Citys Modernist ArchitectureMoorthy will r
Read at finance.yahoo.com
 |
Columbia Seligman Fundamental Analysis
We analyze Columbia Seligman's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Columbia Seligman using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Columbia Seligman 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
Columbia Seligman is currently under evaluation 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.
Columbia Seligman Global 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 Columbia Seligman mutual fund to make a market-neutral strategy. Peer analysis of Columbia Seligman could also be used in its relative valuation, which is a method of valuing Columbia Seligman by comparing valuation metrics with similar companies.
Peers
Columbia Seligman Related Equities
| SGTRX | Columbia Seligman | 0.83 | ||||
| CSGZX | Columbia Seligman | 0.82 | ||||
| SHTCX | Columbia Seligman | 0.81 | ||||
| SCIOX | Columbia Seligman | 0.00 | ||||
| CCHRX | Columbia Seligman | 0.00 |
Other Information on Investing in Columbia Mutual Fund
Columbia Seligman financial ratios help investors to determine whether Columbia 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 Columbia with respect to the benefits of owning Columbia Seligman security.
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
| AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |