Saean Group Stock Market Value
| SEAN Stock | 3.10 0.00 0.00% |
| Symbol | Saean |
Saean '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 Saean'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 Saean.
| 01/04/2023 |
| 11/24/2024 |
If you would invest 0.00 in Saean on January 4, 2023 and sell it all today you would earn a total of 0.00 from holding Saean Group or generate 0.0% return on investment in Saean over 690 days.
Saean 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 Saean'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 Saean Group upside and downside potential and time the market with a certain degree of confidence.
Saean Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Saean's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Saean's standard deviation. In reality, there are many statistical measures that can use Saean historical prices to predict the future Saean's volatility.Saean Group Backtested Returns
We have found three technical indicators for Saean Group, 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 Saean are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Saean Group has no correlation between past and present. Overlapping area represents the amount of predictability between Saean time series from 4th of January 2023 to 15th of December 2023 and 15th of December 2023 to 24th 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 Saean Group price movement. The serial correlation of 0.0 indicates that just 0.0% of current Saean price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | -0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Saean Group lagged returns against current returns
Autocorrelation, which is Saean 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 Saean's pink sheet expected returns. We can calculate the autocorrelation of Saean returns to help us make a trade decision. For example, suppose you find that Saean 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 |
Saean 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 Saean pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Saean pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Saean pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Saean Lagged Returns
When evaluating Saean's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Saean pink sheet have on its future price. Saean 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, Saean autocorrelation shows the relationship between Saean pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Saean Group.
Regressed Prices |
| Timeline |
Pair Trading with Saean
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 Saean 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 Saean will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Saean could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Saean 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 Saean - 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 Saean Group to buy it.
The correlation of Saean 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 Saean moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Saean Group 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 Saean 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.