SMI's market value is the price at which a share of SMI trades on a public exchange. It measures the collective expectations of SMI investors about its performance. SMI is trading at 2185.00 as of the 28th of November 2024, a 0.14 percent decrease since the beginning of the trading day. The stock's open price was 2188.0. With this module, you can estimate the performance of a buy and hold strategy of SMI and determine expected loss or profit from investing in SMI over a given investment horizon. Check out World Market Map 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
SMI
SMI '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 SMI'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 SMI.
0.00
10/29/2024
No Change 0.00
0.0
In 31 days
11/28/2024
0.00
If you would invest 0.00 in SMI on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding SMI or generate 0.0% return on investment in SMI over 30 days.
SMI 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 SMI'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 SMI 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 SMI's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SMI's standard deviation. In reality, there are many statistical measures that can use SMI historical prices to predict the future SMI's volatility.
At this point, SMI is very steady. SMI owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.002, which indicates the firm had a 0.002% return per unit of volatility over the last 3 months. We have found twenty-three technical indicators for SMI, which you can use to evaluate the volatility of the company. Please validate SMI's variance of 3.29, and Risk Adjusted Performance of (0.001) to confirm if the risk estimate we provide is consistent with the expected return of 0.0035%. The entity has a beta of 0.22, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SMI's returns are expected to increase less than the market. However, during the bear market, the loss of holding SMI is expected to be smaller as well. SMI currently has a risk of 1.74%. Please validate SMI total risk alpha, maximum drawdown, potential upside, as well as the relationship between the treynor ratio and value at risk , to decide if SMI will be following its existing price patterns.
Auto-correlation
-0.23
Weak reverse predictability
SMI has weak reverse predictability. Overlapping area represents the amount of predictability between SMI time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 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 SMI price movement. The serial correlation of -0.23 indicates that over 23.0% of current SMI price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.23
Spearman Rank Test
0.1
Residual Average
0.0
Price Variance
167.41
SMI lagged returns against current returns
Autocorrelation, which is SMI 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 SMI's stock expected returns. We can calculate the autocorrelation of SMI returns to help us make a trade decision. For example, suppose you find that SMI 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
SMI 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 SMI stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SMI stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SMI stock over time.
Current vs Lagged Prices
Timeline
SMI Lagged Returns
When evaluating SMI's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SMI stock have on its future price. SMI 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, SMI autocorrelation shows the relationship between SMI stock current value and its past values and can show if there is a momentum factor associated with investing in SMI.
Regressed Prices
Timeline
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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.