Private companies invested in Bank of Qingdao Co., Ltd. copped the brunt of last weeks HK407m market ... - Simply Wall St

690D Stock   1.76  0.01  0.57%   
About 51% of Qingdao Haier's investor base is interested to short. The analysis of current outlook of investing in Qingdao Haier Co suggests that many traders are impartial regarding Qingdao Haier's prospects. The current market sentiment, together with Qingdao Haier's historical and current headlines, can help investors time the market. In addition, many technical investors use Qingdao Haier stock news signals to limit their universe of possible portfolio assets.
Qingdao Haier stock news, alerts, and headlines are usually related to its technical, predictive, social, and fundamental indicators. It can reflect on the current distribution of Qingdao daily returns and investor perception about the current price of Qingdao Haier Co as well as its diversification or hedging effects on your existing portfolios.
  
Private companies invested in Bank of Qingdao Co., Ltd. copped the brunt of last weeks HK407m market ... Simply Wall St

Read at news.google.com
Google News at Macroaxis
  

Qingdao Haier Fundamental Analysis

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

Qingdao Haier 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.

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

Complementary Tools for Qingdao Stock analysis

When running Qingdao Haier's price analysis, check to measure Qingdao Haier'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 Qingdao Haier is operating at the current time. Most of Qingdao Haier's value examination focuses on studying past and present price action to predict the probability of Qingdao Haier's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Qingdao Haier's price. Additionally, you may evaluate how the addition of Qingdao Haier to your portfolios can decrease your overall portfolio volatility.
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
Portfolio Manager
State of the art Portfolio Manager to monitor and improve performance of your invested capital
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation