Metallurgical Correlations
| MLLUY Stock | USD 3.39 0.00 0.00% |
The correlation of Metallurgical is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Metallurgical moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Metallurgical of moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Average diversification
The correlation between Metallurgical of and NYA is 0.13 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Metallurgical of and NYA in the same portfolio, assuming nothing else is changed.
Metallurgical |
The ability to find closely correlated positions to Metallurgical could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Metallurgical when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Metallurgical - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Metallurgical of to buy it.
Moving together with Metallurgical Pink Sheet
| 0.62 | MSFT | Microsoft Aggressive Push | PairCorr |
| 0.73 | META | Meta Platforms | PairCorr |
| 0.75 | HD | Home Depot Sell-off Trend | PairCorr |
| 0.81 | IBM | International Business Sell-off Trend | PairCorr |
Moving against Metallurgical Pink Sheet
| 0.77 | BKLRF | Berkeley Energy | PairCorr |
| 0.63 | GOOG | Alphabet Class C | PairCorr |
| 0.54 | LNDNF | Lundin Energy AB | PairCorr |
| 0.54 | AXP | American Express Financial Report 19th of July 2024 | PairCorr |
| 0.48 | AWCMF | Alumina Limited | PairCorr |
| 0.44 | AWCMY | Alumina Limited PK | PairCorr |
| 0.55 | PG | Procter Gamble Sell-off Trend | PairCorr |
| 0.48 | CVX | Chevron Corp Financial Report 26th of July 2024 | PairCorr |
| 0.41 | MRK | Merck Company Financial Report 6th of August 2024 | PairCorr |
Related Correlations Analysis
| 0.23 | 0.41 | 0.47 | -0.23 | CPA | ||
| 0.23 | 0.82 | 0.78 | -0.7 | UAL | ||
| 0.41 | 0.82 | 0.94 | -0.9 | DAL | ||
| 0.47 | 0.78 | 0.94 | -0.88 | SKYW | ||
| -0.23 | -0.7 | -0.9 | -0.88 | ALGT | ||
| Click cells to compare fundamentals | Check Volatility | Backtest Portfolio |
Correlation Matchups
Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.High positive correlations
| High negative correlations
|
Risk-Adjusted Indicators
There is a big difference between Metallurgical Pink Sheet performing well and Metallurgical Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Metallurgical's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| CPA | 1.23 | 0.04 | 0.04 | 0.10 | 1.73 | 2.42 | 9.37 | |||
| UAL | 1.95 | 0.30 | 0.19 | 0.25 | 1.58 | 4.71 | 20.30 | |||
| DAL | 1.16 | 0.32 | 0.25 | 0.30 | 0.93 | 3.05 | 6.48 | |||
| SKYW | 1.32 | 0.29 | 0.20 | 0.27 | 1.23 | 3.16 | 8.30 | |||
| ALGT | 1.81 | (0.55) | 0.00 | (0.22) | 0.00 | 3.49 | 12.15 |
Be your own money manager
Our tools can tell you how much better you can do entering a position in Metallurgical without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.Did you try this?
Run Sectors Now
SectorsList of equity sectors categorizing publicly traded companies based on their primary business activities |
| All Next | Launch Module |
Metallurgical Corporate Management
Elected by the shareholders, the Metallurgical's board of directors comprises two types of representatives: Metallurgical inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Metallurgical. The board's role is to monitor Metallurgical's management team and ensure that shareholders' interests are well served. Metallurgical's inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, Metallurgical's outside directors are responsible for providing unbiased perspectives on the board's policies.
| Wanzhu Fan | Deputy Department | Profile | |
| Xiaohu Bai | VP | Profile | |
| Jianguang Chen | Chairman | Profile | |
| Gang Zeng | Joint Sec | Profile | |
| Zeng Jianzhong | VP | Profile |
Already Invested in Metallurgical of?
The danger of trading Metallurgical of is mainly related to its market volatility and Company specific events. As an investor, you must understand the concept of risk-adjusted return before you start trading. The most common way to measure the risk of Metallurgical is by using the Sharpe ratio. The ratio expresses how much excess return you acquire for the extra volatility you endure for holding a more risker asset than Metallurgical. The Sharpe ratio is calculated by using standard deviation and excess return to determine reward per unit of risk. To understand how volatile Metallurgical is, you must compare it to a benchmark. Traditionally, the risk-free rate of return is the rate of return on the shortest-dated U.S. Treasury, such as a 3-year bond.
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Metallurgical of. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in employment. You can also try the USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
Complementary Tools for Metallurgical Pink Sheet analysis
When running Metallurgical's price analysis, check to measure Metallurgical'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 Metallurgical is operating at the current time. Most of Metallurgical's value examination focuses on studying past and present price action to predict the probability of Metallurgical's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Metallurgical's price. Additionally, you may evaluate how the addition of Metallurgical to your portfolios can decrease your overall portfolio volatility.
| Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
| Economic Indicators Top statistical indicators that provide insights into how an economy is performing | |
| Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
| Global Correlations Find global opportunities by holding instruments from different markets | |
| USA ETFs Find actively traded Exchange Traded Funds (ETF) in USA | |
| Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
| Content Syndication Quickly integrate customizable finance content to your own investment portal | |
| Share Portfolio Track or share privately all of your investments from the convenience of any device |