Philippine TV company shut down by Duterte to sell internet arm - Nikkei Asia

VILR Stock  ILS 17,220  20.00  0.12%   
About 62% of Villar's investor base is looking to short. The analysis of current outlook of investing in Villar suggests that many traders are alarmed regarding Villar's prospects. The current market sentiment, together with Villar's historical and current headlines, can help investors time the market. In addition, many technical investors use Villar stock news signals to limit their universe of possible portfolio assets.
  
Philippine TV company shut down by Duterte to sell internet arm Nikkei Asia

Read at news.google.com
Google News at Macroaxis
  

Villar Fundamental Analysis

We analyze Villar's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Villar using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Villar based on its fundamental data. In general, a quantitative approach, as applied to this company, 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

Villar is currently under evaluation in probability of bankruptcy category among its peers. 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.

Villar 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 Villar stock to make a market-neutral strategy. Peer analysis of Villar could also be used in its relative valuation, which is a method of valuing Villar by comparing valuation metrics with similar companies.

Complementary Tools for Villar Stock analysis

When running Villar's price analysis, check to measure Villar's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Villar is operating at the current time. Most of Villar's value examination focuses on studying past and present price action to predict the probability of Villar's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Villar's price. Additionally, you may evaluate how the addition of Villar to your portfolios can decrease your overall portfolio volatility.
Latest Portfolios
Quick portfolio dashboard that showcases your latest portfolios
Price Ceiling Movement
Calculate and plot Price Ceiling Movement for different equity instruments
Fundamentals Comparison
Compare fundamentals across multiple equities to find investing opportunities
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm