Home Product (Thailand) Market Value
HMPRO Stock | THB 7.75 0.30 3.73% |
Symbol | Home |
Home Product '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 Product'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 Product.
12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Home Product on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Home Product Center or generate 0.0% return on investment in Home Product over 90 days. Home Product is related to or competes with CP ALL, Bangkok Dusit, Central Pattana, Advanced Info, and Minor International. Home Product Center Public Company Limited operates as a home improvement retailer in Thailand More
Home Product 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 Product'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 Product Center upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.08) | |||
Maximum Drawdown | 9.76 | |||
Value At Risk | (4.30) | |||
Potential Upside | 4.0 |
Home Product Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Home Product's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Home Product's standard deviation. In reality, there are many statistical measures that can use Home Product historical prices to predict the future Home Product's volatility.Risk Adjusted Performance | (0.09) | |||
Jensen Alpha | (0.19) | |||
Total Risk Alpha | 0.0164 | |||
Treynor Ratio | (0.28) |
Home Product Center Backtested Returns
Home Product Center holds Efficiency (Sharpe) Ratio of -0.12, which attests that the entity had a -0.12 % return per unit of risk over the last 3 months. Home Product Center exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Home Product's Standard Deviation of 2.59, risk adjusted performance of (0.09), and Market Risk Adjusted Performance of (0.27) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 1.12, which attests to a somewhat significant risk relative to the market. Home Product returns are very sensitive to returns on the market. As the market goes up or down, Home Product is expected to follow. At this point, Home Product Center has a negative expected return of -0.31%. Please make sure to check out Home Product's potential upside, as well as the relationship between the rate of daily change and period momentum indicator , to decide if Home Product Center performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.32 |
Below average predictability
Home Product Center has below average predictability. Overlapping area represents the amount of predictability between Home Product time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 2025. 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 Product Center price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current Home Product price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.32 | |
Spearman Rank Test | 0.24 | |
Residual Average | 0.0 | |
Price Variance | 0.11 |
Home Product Center lagged returns against current returns
Autocorrelation, which is Home Product 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 Product's stock expected returns. We can calculate the autocorrelation of Home Product returns to help us make a trade decision. For example, suppose you find that Home Product 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 Product 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 Product stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Home Product stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Home Product stock over time.
Current vs Lagged Prices |
Timeline |
Home Product Lagged Returns
When evaluating Home Product's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Home Product stock have on its future price. Home Product 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 Product autocorrelation shows the relationship between Home Product stock current value and its past values and can show if there is a momentum factor associated with investing in Home Product Center.
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 ArchitectOther Information on Investing in Home Stock
Home Product financial ratios help investors to determine whether Home 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 Home with respect to the benefits of owning Home Product security.