Home Depot (UK) Probability of Future Stock Price Finishing Over 178.73
| 0R1G Stock | USD 178.57 82.12 31.50% |
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Home Depot Target Price Odds to finish over 178.73
The tendency of Home Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to move over $ 178.73 or more in 90 days |
| 178.57 | 90 days | 178.73 | about 28.93 |
Based on a normal probability distribution, the odds of Home Depot to move over $ 178.73 or more in 90 days from now is about 28.93 (This Home Depot probability density function shows the probability of Home Stock to fall within a particular range of prices over 90 days) . Probability of Home Depot price to stay between its current price of $ 178.57 and $ 178.73 at the end of the 90-day period is about 10.84 .
Assuming the 90 days trading horizon Home Depot has a beta of -0.0172. This suggests as returns on the benchmark increase, returns on holding Home Depot are expected to decrease at a much lower rate. During a bear market, however, Home Depot is likely to outperform the market. Additionally Home Depot has an alpha of 0.0114, implying that it can generate a 0.0114 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Home Depot Price Density |
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Predictive Modules for Home Depot
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Home Depot. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Home Depot Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Home Depot is not an exception. The market had few large corrections towards the Home Depot's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Home Depot, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Home Depot within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | -0.02 | |
σ | Overall volatility | 0.54 | |
Ir | Information ratio | -0.71 |
Home Depot Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Home Depot for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Home Depot can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| About 73.0% of the company shares are owned by institutions such as pension funds | |
| Latest headline from news.google.com: Here is What to Know Beyond Why The Home Depot, Inc. is a Trending Stock - Yahoo Finance |
Home Depot Technical Analysis
Home Depot's future price can be derived by breaking down and analyzing its technical indicators over time. Home Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Home Depot. In general, you should focus on analyzing Home Stock price patterns and their correlations with different microeconomic environments and drivers.
Home Depot Predictive Forecast Models
Home Depot's time-series forecasting models is one of many Home Depot's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Home Depot's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Things to note about Home Depot
Checking the ongoing alerts about Home Depot for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Home Depot help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| About 73.0% of the company shares are owned by institutions such as pension funds | |
| Latest headline from news.google.com: Here is What to Know Beyond Why The Home Depot, Inc. is a Trending Stock - Yahoo Finance |
Check out Home Depot Backtesting, Home Depot Valuation, Home Depot Correlation, Home Depot Hype Analysis, Home Depot Volatility, Home Depot History as well as Home Depot Performance. For more information on how to buy Home Stock please use our How to buy in Home Stock guide.You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.