Jennifer JD - Meta Platforms Chief Officer
| META Stock | 32.90 0.62 1.92% |
Executive
Jennifer JD is Chief Officer of Meta Platforms CDR
| Age | 55 |
| Phone | 650 543 4800 |
| Web | https://investor.fb.com |
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Management Performance
| Return On Equity | 0.36 | ||||
| Return On Asset | 0.17 |
Meta Platforms CDR Leadership Team
Elected by the shareholders, the Meta Platforms' board of directors comprises two types of representatives: Meta Platforms inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Meta. The board's role is to monitor Meta Platforms' management team and ensure that shareholders' interests are well served. Meta Platforms' inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, Meta Platforms' outside directors are responsible for providing unbiased perspectives on the board's policies.
| Henry Moniz, Chief Officer | ||
| Andrew Bosworth, Chief Officer | ||
| Christopher Cox, Chief Officer | ||
| Aaron Anderson, Chief Officer | ||
| Jennifer Newstead, Chief Officer | ||
| Jennifer JD, Chief Officer | ||
| Atish Banerjea, Chief Officer | ||
| Janelle Gale, Head People | ||
| Deborah Crawford, Vice Relations | ||
| Mark Zuckerberg, Chairman Founder | ||
| Javier Olivan, Chief Officer | ||
| David Wehner, Chief Officer | ||
| Alexander Schultz, Growth, Product | ||
| Susan Li, Chief Officer |
Meta Stock Performance Indicators
The ability to make a profit is the ultimate goal of any investor. But to identify the right stock is not an easy task. Is Meta Platforms a good investment? Although profit is still the single most important financial element of any organization, multiple performance indicators can help investors identify the equity that they will appreciate over time.
| Return On Equity | 0.36 | ||||
| Return On Asset | 0.17 | ||||
| Profit Margin | 0.36 % | ||||
| Operating Margin | 0.43 % | ||||
| Current Valuation | 2.08 T | ||||
| Shares Outstanding | 53.89 B | ||||
| Price To Book | 7.69 X | ||||
| Price To Sales | 13.57 X | ||||
| Revenue | 156.23 B | ||||
| Gross Profit | 127.33 B |
Pair Trading with Meta Platforms
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Meta Platforms position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Meta Platforms will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Meta Platforms could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Meta Platforms 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 Meta Platforms - 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 Meta Platforms CDR to buy it.
The correlation of Meta Platforms 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 Meta Platforms moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Meta Platforms CDR 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.
Correlation analysis and pair trading evaluation for Meta Platforms can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Meta Stock
Meta Platforms financial ratios help investors to determine whether Meta Stock 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 Meta with respect to the benefits of owning Meta Platforms security.