Spectra Systems Stock Market Value
| SCTQ Stock | USD 2.03 0.00 0.00% |
| Symbol | Spectra |
Spectra Systems '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 Spectra Systems' 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 Spectra Systems.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Spectra Systems on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Spectra Systems or generate 0.0% return on investment in Spectra Systems over 30 days. Spectra Systems is related to or competes with Apple, Microsoft, Alphabet, and Meta Platforms. Spectra Systems Corporation invents, develops, and sells integrated optical systems in Rhode Island and internationally More
Spectra Systems 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 Spectra Systems' 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 Spectra Systems upside and downside potential and time the market with a certain degree of confidence.
Spectra Systems Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Spectra Systems' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Spectra Systems' standard deviation. In reality, there are many statistical measures that can use Spectra Systems historical prices to predict the future Spectra Systems' volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Spectra Systems' 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.
Spectra Systems Backtested Returns
We have found three technical indicators for Spectra Systems, which you can use to evaluate the volatility of the company. The entity has a beta of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and Spectra Systems are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Spectra Systems has no correlation between past and present. Overlapping area represents the amount of predictability between Spectra Systems 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 Spectra Systems price movement. The serial correlation of 0.0 indicates that just 0.0% of current Spectra Systems price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Spectra Systems lagged returns against current returns
Autocorrelation, which is Spectra Systems 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 Spectra Systems' otc stock expected returns. We can calculate the autocorrelation of Spectra Systems returns to help us make a trade decision. For example, suppose you find that Spectra Systems 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 |
Spectra Systems 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 Spectra Systems otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Spectra Systems otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Spectra Systems otc stock over time.
Current vs Lagged Prices |
| Timeline |
Spectra Systems Lagged Returns
When evaluating Spectra Systems' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Spectra Systems otc stock have on its future price. Spectra Systems 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, Spectra Systems autocorrelation shows the relationship between Spectra Systems otc stock current value and its past values and can show if there is a momentum factor associated with investing in Spectra Systems.
Regressed Prices |
| Timeline |
Pair Trading with Spectra Systems
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Spectra Systems position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Spectra Systems will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Spectra Systems could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Spectra Systems when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Spectra Systems - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Spectra Systems to buy it.
The correlation of Spectra Systems is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Spectra Systems moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Spectra Systems moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Spectra Systems can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Spectra OTC Stock Analysis
When running Spectra Systems' price analysis, check to measure Spectra Systems' 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 Spectra Systems is operating at the current time. Most of Spectra Systems' value examination focuses on studying past and present price action to predict the probability of Spectra Systems' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Spectra Systems' price. Additionally, you may evaluate how the addition of Spectra Systems to your portfolios can decrease your overall portfolio volatility.