SFP Tech (Malaysia) Market Value
0251 Stock | 0.29 0.02 7.41% |
Symbol | SFP |
SFP Tech '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 SFP Tech'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 SFP Tech.
12/19/2024 |
| 03/19/2025 |
If you would invest 0.00 in SFP Tech on December 19, 2024 and sell it all today you would earn a total of 0.00 from holding SFP Tech Holdings or generate 0.0% return on investment in SFP Tech over 90 days. SFP Tech is related to or competes with Mercury Industries, IHH Healthcare, Melewar Industrial, Aeon Credit, Public Bank, and Sports Toto. More
SFP Tech 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 SFP Tech'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 SFP Tech Holdings upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.25) | |||
Maximum Drawdown | 19.27 | |||
Value At Risk | (9.09) | |||
Potential Upside | 3.85 |
SFP Tech Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SFP Tech's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SFP Tech's standard deviation. In reality, there are many statistical measures that can use SFP Tech historical prices to predict the future SFP Tech's volatility.Risk Adjusted Performance | (0.23) | |||
Jensen Alpha | (1.10) | |||
Total Risk Alpha | (0.73) | |||
Treynor Ratio | (1.20) |
SFP Tech Holdings Backtested Returns
SFP Tech Holdings owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.3, which indicates the firm had a -0.3 % return per unit of standard deviation over the last 3 months. SFP Tech Holdings exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SFP Tech's risk adjusted performance of (0.23), and Variance of 19.71 to confirm the risk estimate we provide. The entity has a beta of 1.0, which indicates possible diversification benefits within a given portfolio. SFP Tech returns are very sensitive to returns on the market. As the market goes up or down, SFP Tech is expected to follow. At this point, SFP Tech Holdings has a negative expected return of -1.37%. Please make sure to validate SFP Tech's standard deviation, total risk alpha, maximum drawdown, as well as the relationship between the jensen alpha and treynor ratio , to decide if SFP Tech Holdings performance from the past will be repeated at future time.
Auto-correlation | 0.75 |
Good predictability
SFP Tech Holdings has good predictability. Overlapping area represents the amount of predictability between SFP Tech time series from 19th of December 2024 to 2nd of February 2025 and 2nd of February 2025 to 19th 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 SFP Tech Holdings price movement. The serial correlation of 0.75 indicates that around 75.0% of current SFP Tech price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.75 | |
Spearman Rank Test | 0.6 | |
Residual Average | 0.0 | |
Price Variance | 0.03 |
SFP Tech Holdings lagged returns against current returns
Autocorrelation, which is SFP Tech 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 SFP Tech's stock expected returns. We can calculate the autocorrelation of SFP Tech returns to help us make a trade decision. For example, suppose you find that SFP Tech 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 |
SFP Tech 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 SFP Tech stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SFP Tech stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SFP Tech stock over time.
Current vs Lagged Prices |
Timeline |
SFP Tech Lagged Returns
When evaluating SFP Tech's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SFP Tech stock have on its future price. SFP Tech 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, SFP Tech autocorrelation shows the relationship between SFP Tech stock current value and its past values and can show if there is a momentum factor associated with investing in SFP Tech Holdings.
Regressed Prices |
Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in SFP Stock
SFP Tech financial ratios help investors to determine whether SFP 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 SFP with respect to the benefits of owning SFP Tech security.