Smc Corp Stock Market Value
SMECF Stock | USD 550.00 20.49 3.87% |
Symbol | SMC |
SMC Corp '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 SMC Corp's pink sheet 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 SMC Corp.
04/04/2024 |
| 05/04/2024 |
If you would invest 0.00 in SMC Corp on April 4, 2024 and sell it all today you would earn a total of 0.00 from holding SMC Corp or generate 0.0% return on investment in SMC Corp over 30 days. SMC Corp is related to or competes with Cummins, Chart Industries, Nuscale Power, and GE Aerospace. SMC Corporation manufactures, processes, and sells automatic control equipment, sintered filters, and various types of f... More
SMC Corp 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 SMC Corp's pink sheet 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 SMC Corp upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 2.75 | |||
Information Ratio | (0.02) | |||
Maximum Drawdown | 11.21 | |||
Value At Risk | (4.18) | |||
Potential Upside | 4.56 |
SMC Corp Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SMC Corp's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SMC Corp's standard deviation. In reality, there are many statistical measures that can use SMC Corp historical prices to predict the future SMC Corp's volatility.Risk Adjusted Performance | 0.0116 | |||
Jensen Alpha | (0.1) | |||
Total Risk Alpha | (0.28) | |||
Sortino Ratio | (0.02) | |||
Treynor Ratio | 0.0044 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SMC Corp's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
SMC Corp Backtested Returns
We consider SMC Corp very steady. SMC Corp retains Efficiency (Sharpe Ratio) of 0.0079, which indicates the firm had a 0.0079% return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for SMC Corp, which you can use to evaluate the volatility of the company. Please validate SMC Corp's downside deviation of 2.75, and Risk Adjusted Performance of 0.0116 to confirm if the risk estimate we provide is consistent with the expected return of 0.0207%. The entity owns a Beta (Systematic Risk) of 1.47, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, SMC Corp will likely underperform. SMC Corp currently owns a risk of 2.61%. Please validate SMC Corp standard deviation, value at risk, kurtosis, as well as the relationship between the sortino ratio and semi variance , to decide if SMC Corp will be following its current price history.
Auto-correlation | -0.83 |
Excellent reverse predictability
SMC Corp has excellent reverse predictability. Overlapping area represents the amount of predictability between SMC Corp time series from 4th of April 2024 to 19th of April 2024 and 19th of April 2024 to 4th of May 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 SMC Corp price movement. The serial correlation of -0.83 indicates that around 83.0% of current SMC Corp price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.83 | |
Spearman Rank Test | -0.68 | |
Residual Average | 0.0 | |
Price Variance | 329.42 |
SMC Corp lagged returns against current returns
Autocorrelation, which is SMC Corp pink sheet'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 SMC Corp's pink sheet expected returns. We can calculate the autocorrelation of SMC Corp returns to help us make a trade decision. For example, suppose you find that SMC Corp has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
SMC Corp 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 SMC Corp pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SMC Corp pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SMC Corp pink sheet over time.
Current vs Lagged Prices |
Timeline |
SMC Corp Lagged Returns
When evaluating SMC Corp's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SMC Corp pink sheet have on its future price. SMC Corp 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, SMC Corp autocorrelation shows the relationship between SMC Corp pink sheet current value and its past values and can show if there is a momentum factor associated with investing in SMC Corp.
Regressed Prices |
Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards SMC Corp in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, SMC Corp's short interest history, or implied volatility extrapolated from SMC Corp options trading.
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Check out SMC Corp Correlation, SMC Corp Volatility and SMC Corp Alpha and Beta module to complement your research on SMC Corp. Note that the SMC Corp information on this page should be used as a complementary analysis to other SMC Corp's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Complementary Tools for SMC Pink Sheet analysis
When running SMC Corp's price analysis, check to measure SMC Corp's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy SMC Corp is operating at the current time. Most of SMC Corp's value examination focuses on studying past and present price action to predict the probability of SMC Corp's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SMC Corp's price. Additionally, you may evaluate how the addition of SMC Corp to your portfolios can decrease your overall portfolio volatility.
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SMC Corp technical pink sheet 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, pink sheet market cycles, or different charting patterns.