Icdx Stock Market Value

Symbol

ICDX

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 ICDX'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 ICDX.

ICDX Upside/Downside Indicators

ICDX Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for ICDX's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ICDX's standard deviation. In reality, there are many statistical measures that can use ICDX historical prices to predict the future ICDX's volatility.

Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ICDX'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.

Autocorrelation, which is ICDX 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 ICDX's pink sheet expected returns. We can calculate the autocorrelation of ICDX returns to help us make a trade decision. For example, suppose you find that ICDX 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.

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If ICDX pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ICDX pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ICDX pink sheet over time.

When evaluating ICDX's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ICDX pink sheet have on its future price. ICDX 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, ICDX autocorrelation shows the relationship between ICDX pink sheet current value and its past values and can show if there is a momentum factor associated with investing in ICDX.

When running ICDX's price analysis, check to measure ICDX'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 ICDX is operating at the current time. Most of ICDX's value examination focuses on studying past and present price action to predict the probability of ICDX's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move ICDX's price. Additionally, you may evaluate how the addition of ICDX to your portfolios can decrease your overall portfolio volatility.