STANDARD SUPPLY's market value is the price at which a share of STANDARD SUPPLY trades on a public exchange. It measures the collective expectations of STANDARD SUPPLY NK investors about its performance. STANDARD SUPPLY is trading at 1.62 as of the 19th of December 2024. This is a 1.82% down since the beginning of the trading day. The stock's lowest day price was 1.62. With this module, you can estimate the performance of a buy and hold strategy of STANDARD SUPPLY NK and determine expected loss or profit from investing in STANDARD SUPPLY over a given investment horizon. Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
STANDARD
STANDARD SUPPLY '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 STANDARD SUPPLY'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 STANDARD SUPPLY.
0.00
10/20/2024
No Change 0.00
0.0
In 2 months and 1 day
12/19/2024
0.00
If you would invest 0.00 in STANDARD SUPPLY on October 20, 2024 and sell it all today you would earn a total of 0.00 from holding STANDARD SUPPLY NK or generate 0.0% return on investment in STANDARD SUPPLY over 60 days.
STANDARD SUPPLY 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 STANDARD SUPPLY'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 STANDARD SUPPLY NK upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for STANDARD SUPPLY's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as STANDARD SUPPLY's standard deviation. In reality, there are many statistical measures that can use STANDARD SUPPLY historical prices to predict the future STANDARD SUPPLY's volatility.
STANDARD SUPPLY NK retains Efficiency (Sharpe Ratio) of -0.13, which indicates the firm had a -0.13% return per unit of risk over the last 3 months. STANDARD SUPPLY exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate STANDARD SUPPLY's standard deviation of 11.9, and Risk Adjusted Performance of (0.09) to confirm the risk estimate we provide. The entity owns a Beta (Systematic Risk) of 0.75, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, STANDARD SUPPLY's returns are expected to increase less than the market. However, during the bear market, the loss of holding STANDARD SUPPLY is expected to be smaller as well. At this point, STANDARD SUPPLY NK has a negative expected return of -1.6%. Please make sure to validate STANDARD SUPPLY's total risk alpha, potential upside, and the relationship between the standard deviation and maximum drawdown , to decide if STANDARD SUPPLY NK performance from the past will be repeated at future time.
Auto-correlation
0.28
Poor predictability
STANDARD SUPPLY NK has poor predictability. Overlapping area represents the amount of predictability between STANDARD SUPPLY time series from 20th of October 2024 to 19th of November 2024 and 19th of November 2024 to 19th of December 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 STANDARD SUPPLY NK price movement. The serial correlation of 0.28 indicates that nearly 28.0% of current STANDARD SUPPLY price fluctuation can be explain by its past prices.
Correlation Coefficient
0.28
Spearman Rank Test
0.41
Residual Average
0.0
Price Variance
0.01
STANDARD SUPPLY NK lagged returns against current returns
Autocorrelation, which is STANDARD SUPPLY 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 STANDARD SUPPLY's stock expected returns. We can calculate the autocorrelation of STANDARD SUPPLY returns to help us make a trade decision. For example, suppose you find that STANDARD SUPPLY 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
STANDARD SUPPLY 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 STANDARD SUPPLY stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if STANDARD SUPPLY stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in STANDARD SUPPLY stock over time.
Current vs Lagged Prices
Timeline
STANDARD SUPPLY Lagged Returns
When evaluating STANDARD SUPPLY's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of STANDARD SUPPLY stock have on its future price. STANDARD SUPPLY 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, STANDARD SUPPLY autocorrelation shows the relationship between STANDARD SUPPLY stock current value and its past values and can show if there is a momentum factor associated with investing in STANDARD SUPPLY NK.