Microsoft Stock Market Value
MSFT Stock | USD 417.32 0.90 0.22% |
Symbol | Microsoft |
Microsoft Price To Book Ratio
Is Microsoft's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Microsoft. If investors know Microsoft will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Microsoft listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.332 | Dividend Share 2.86 | Earnings Share 11.08 | Revenue Per Share 30.612 | Quarterly Revenue Growth 0.176 |
The market value of Microsoft is measured differently than its book value, which is the value of Microsoft that is recorded on the company's balance sheet. Investors also form their own opinion of Microsoft's value that differs from its market value or its book value, called intrinsic value, which is Microsoft's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Microsoft's market value can be influenced by many factors that don't directly affect Microsoft's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Microsoft's value and its price as these two are different measures arrived at by different means. Investors typically determine if Microsoft is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Microsoft's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Microsoft 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Microsoft's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Microsoft.
02/18/2024 |
| 03/19/2024 |
If you would invest 0.00 in Microsoft on February 18, 2024 and sell it all today you would earn a total of 0.00 from holding Microsoft or generate 0.0% return on investment in Microsoft over 30 days. Microsoft is related to or competes with Global Blue, Block, Aurora Mobile, Veritone, Nextnav Acquisition, DigitalOcean Holdings, and Marqeta. Microsoft Corporation develops, licenses, and supports software, services, devices, and solutions worldwide More
Microsoft Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Microsoft's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Microsoft upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.14 | |||
Information Ratio | 0.0257 | |||
Maximum Drawdown | 5.31 | |||
Value At Risk | (2.15) | |||
Potential Upside | 2.11 |
Microsoft Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Microsoft's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Microsoft's standard deviation. In reality, there are many statistical measures that can use Microsoft historical prices to predict the future Microsoft's volatility.Risk Adjusted Performance | 0.0972 | |||
Jensen Alpha | 0.0764 | |||
Total Risk Alpha | (0.09) | |||
Sortino Ratio | 0.0269 | |||
Treynor Ratio | 0.2496 |
Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Microsoft's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy. Please use the tools below to analyze the current value of Microsoft in the context of predictive analytics.
Microsoft Backtested Returns
Microsoft appears to be very steady, given 3 months investment horizon. Microsoft has Sharpe Ratio of 0.17, which conveys that the firm had 0.17% return per unit of risk over the last 3 months. Our standpoint towards estimating the volatility of a stock is to use all available market data together with stock-specific technical indicators that cannot be diversified away. We have found twenty-eight technical indicators for Microsoft, which you can use to evaluate the future volatility of the firm. Please exercise Microsoft's Downside Deviation of 1.14, risk adjusted performance of 0.0972, and Mean Deviation of 0.8911 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Microsoft holds a performance score of 13. The company secures a Beta (Market Risk) of 0.66, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Microsoft returns are expected to increase less than the market. However, during the bear market, the loss on holding Microsoft will be expected to be smaller as well. Although it is important to respect Microsoft price patterns, it is better to be realistic regarding the information on the equity's historical price patterns. Please exercises Microsoft value at risk, and the relationship between the jensen alpha and skewness to make a quick decision on whether Microsoft current price movements will revert.
Auto-correlation | 0.51 |
Modest predictability
Microsoft has modest predictability. Overlapping area represents the amount of predictability between Microsoft time series from 18th of February 2024 to 4th of March 2024 and 4th of March 2024 to 19th of March 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Microsoft price movement. The serial correlation of 0.51 indicates that about 51.0% of current Microsoft price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.51 | |
Spearman Rank Test | 0.72 | |
Residual Average | 0.0 | |
Price Variance | 49.92 |
Microsoft lagged returns against current returns
Autocorrelation, which is Microsoft stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Microsoft's stock expected returns. We can calculate the autocorrelation of Microsoft returns to help us make a trade decision. For example, suppose you find that Microsoft stock has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the stock movement to match the lagging time series.
Current and Lagged Values |
Timeline |
Microsoft regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Microsoft stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Microsoft stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Microsoft stock over time.
Current vs Lagged Prices |
Timeline |
Microsoft Lagged Returns
When evaluating Microsoft's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Microsoft stock have on its future price. Microsoft autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Microsoft autocorrelation shows the relationship between Microsoft stock current value and its past values and can show if there is a momentum factor associated with investing in Microsoft.
Regressed Prices |
Timeline |
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Try AI Portfolio ArchitectCheck out Microsoft Correlation, Microsoft Volatility and Microsoft Alpha and Beta module to complement your research on Microsoft. For more information on how to buy Microsoft Stock please use our How to Invest in Microsoft guide.Note that the Microsoft information on this page should be used as a complementary analysis to other Microsoft's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
Complementary Tools for Microsoft Stock analysis
When running Microsoft's price analysis, check to measure Microsoft'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 Microsoft is operating at the current time. Most of Microsoft's value examination focuses on studying past and present price action to predict the probability of Microsoft's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Microsoft's price. Additionally, you may evaluate how the addition of Microsoft to your portfolios can decrease your overall portfolio volatility.
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Microsoft technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.