Home Depot (UK) Market Value
0R1G Stock | USD 178.57 2.25 1.28% |
Symbol | Home |
Home Depot '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 Home Depot'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 Home Depot.
12/09/2022 |
| 11/28/2024 |
If you would invest 0.00 in Home Depot on December 9, 2022 and sell it all today you would earn a total of 0.00 from holding Home Depot or generate 0.0% return on investment in Home Depot over 720 days. Home Depot is related to or competes with Ondine Biomedical, Europa Metals, Lendinvest PLC, Neometals, Coor Service, Albion Technology, and Jupiter Fund. Home Depot is entity of United Kingdom. It is traded as Stock on IL exchange. More
Home Depot 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 Home Depot'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 Home Depot upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.71) | |||
Maximum Drawdown | 1.28 |
Home Depot Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Home Depot's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Home Depot's standard deviation. In reality, there are many statistical measures that can use Home Depot historical prices to predict the future Home Depot's volatility.Risk Adjusted Performance | 0.0554 | |||
Jensen Alpha | 0.0075 | |||
Total Risk Alpha | (0.02) | |||
Treynor Ratio | 0.6013 |
Home Depot Backtested Returns
As of now, Home Stock is very steady. Home Depot holds Efficiency (Sharpe) Ratio of 0.13, which attests that the entity had a 0.13% return per unit of risk over the last 3 months. We have found twenty-one technical indicators for Home Depot, which you can use to evaluate the volatility of the firm. Please check out Home Depot's Standard Deviation of 0.157, market risk adjusted performance of 0.6113, and Risk Adjusted Performance of 0.0554 to validate if the risk estimate we provide is consistent with the expected return of 0.0203%. Home Depot has a performance score of 9 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of 0.0155, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Home Depot's returns are expected to increase less than the market. However, during the bear market, the loss of holding Home Depot is expected to be smaller as well. Home Depot right now retains a risk of 0.16%. Please check out Home Depot variance, jensen alpha, and the relationship between the standard deviation and information ratio , to decide if Home Depot will be following its current trending patterns.
Auto-correlation | 0.97 |
Excellent predictability
Home Depot has excellent predictability. Overlapping area represents the amount of predictability between Home Depot time series from 9th of December 2022 to 4th of December 2023 and 4th of December 2023 to 28th of November 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 Home Depot price movement. The serial correlation of 0.97 indicates that 97.0% of current Home Depot price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.97 | |
Spearman Rank Test | 0.99 | |
Residual Average | 0.0 | |
Price Variance | 6.21 |
Home Depot lagged returns against current returns
Autocorrelation, which is Home Depot 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 Home Depot's stock expected returns. We can calculate the autocorrelation of Home Depot returns to help us make a trade decision. For example, suppose you find that Home Depot 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 price movement to match the lagging time series.
Current and Lagged Values |
Timeline |
Home Depot 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 Home Depot stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Home Depot stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Home Depot stock over time.
Current vs Lagged Prices |
Timeline |
Home Depot Lagged Returns
When evaluating Home Depot's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Home Depot stock have on its future price. Home Depot 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, Home Depot autocorrelation shows the relationship between Home Depot stock current value and its past values and can show if there is a momentum factor associated with investing in Home Depot.
Regressed Prices |
Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Home Depot Correlation, Home Depot Volatility and Home Depot Alpha and Beta module to complement your research on Home Depot. For more information on how to buy Home Stock please use our How to buy in Home Stock guide.You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
Home Depot 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.