Bank of America Boosts Keysight Technologies Price Target to 160.00

GSSFXDelisted Fund  USD 7.74  0.00  0.00%   
Slightly above 56% of Gotham Short's investor base is looking to short. The analysis of overall sentiment of trading Gotham Short Strategies mutual fund suggests that many investors are alarmed at this time. Gotham Short's investing sentiment can be driven by a variety of factors including economic data, Gotham Short's earnings reports, geopolitical events, and overall market trends.
  
Keysight Technologies had its target price hoisted by Bank of America from 150.00 to 160.00 in a report issued on Wednesday,Benzinga reports. The firm presently has an underperform rating on the scientific and technical instruments companys stock. Bank of Americas target price would indicate a potential downside of 4.76 percent from

Read at thelincolnianonline.com
news
  

Gotham Short Fundamental Analysis

We analyze Gotham Short's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Gotham Short using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Gotham Short 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

Gotham Short 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.

Gotham Short Strategies 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 Gotham Short mutual fund to make a market-neutral strategy. Peer analysis of Gotham Short could also be used in its relative valuation, which is a method of valuing Gotham Short by comparing valuation metrics with similar companies.
Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as signals in census.
You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.

Other Consideration for investing in Gotham Mutual Fund

If you are still planning to invest in Gotham Short Strategies check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Gotham Short's history and understand the potential risks before investing.
Equity Valuation
Check real value of public entities based on technical and fundamental data
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Portfolio Rebalancing
Analyze risk-adjusted returns against different time horizons to find asset-allocation targets