Scientific Industries Stock Market Value
| SCND Stock | USD 0.90 0.05 5.26% |
| Symbol | Scientific |
Scientific Industries '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 Scientific Industries' otc 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 Scientific Industries.
| 10/01/2024 |
| 12/30/2024 |
If you would invest 0.00 in Scientific Industries on October 1, 2024 and sell it all today you would earn a total of 0.00 from holding Scientific Industries or generate 0.0% return on investment in Scientific Industries over 90 days. Scientific Industries is related to or competes with Solitron Devices, Micropac Industries, Ieh Corp, SCI Engineered, and Surge Components. Scientific Industries, Inc. engages in the design, manufacture, and marketing of benchtop laboratory equipment and biopr... More
Scientific Industries 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 Scientific Industries' otc 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 Scientific Industries upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 45.9 | |||
| Value At Risk | (10.08) | |||
| Potential Upside | 10.29 |
Scientific Industries Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Scientific Industries' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Scientific Industries' standard deviation. In reality, there are many statistical measures that can use Scientific Industries historical prices to predict the future Scientific Industries' volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.32) | |||
| Total Risk Alpha | (0.51) | |||
| Treynor Ratio | (0.22) |
Scientific Industries Backtested Returns
Scientific Industries owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0353, which indicates the firm had a -0.0353% return per unit of risk over the last 3 months. Scientific Industries exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Scientific Industries' Coefficient Of Variation of (2,830), risk adjusted performance of (0.02), and Variance of 61.57 to confirm the risk estimate we provide. The entity has a beta of 1.3, 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, Scientific Industries will likely underperform. At this point, Scientific Industries has a negative expected return of -0.28%. Please make sure to validate Scientific Industries' value at risk and the relationship between the accumulation distribution and relative strength index , to decide if Scientific Industries performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.07 |
Very weak reverse predictability
Scientific Industries has very weak reverse predictability. Overlapping area represents the amount of predictability between Scientific Industries time series from 1st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th 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 Scientific Industries price movement. The serial correlation of -0.07 indicates that barely 7.0% of current Scientific Industries price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.07 | |
| Spearman Rank Test | -0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Scientific Industries lagged returns against current returns
Autocorrelation, which is Scientific Industries otc 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 Scientific Industries' otc stock expected returns. We can calculate the autocorrelation of Scientific Industries returns to help us make a trade decision. For example, suppose you find that Scientific Industries has exhibited high autocorrelation historically, and you observe that the otc 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 |
Scientific Industries 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 Scientific Industries otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Scientific Industries otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Scientific Industries otc stock over time.
Current vs Lagged Prices |
| Timeline |
Scientific Industries Lagged Returns
When evaluating Scientific Industries' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Scientific Industries otc stock have on its future price. Scientific Industries 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, Scientific Industries autocorrelation shows the relationship between Scientific Industries otc stock current value and its past values and can show if there is a momentum factor associated with investing in Scientific Industries.
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.Other Information on Investing in Scientific OTC Stock
Scientific Industries financial ratios help investors to determine whether Scientific OTC 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 Scientific with respect to the benefits of owning Scientific Industries security.