Igen Networks Corp Stock Market Value
IGEN Stock | USD 0.0001 0.00 0.00% |
Symbol | IGEN |
IGEN Networks '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 IGEN Networks' 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 IGEN Networks.
11/14/2024 |
| 12/14/2024 |
If you would invest 0.00 in IGEN Networks on November 14, 2024 and sell it all today you would earn a total of 0.00 from holding IGEN Networks Corp or generate 0.0% return on investment in IGEN Networks over 30 days. IGEN Networks Corp. develops and markets software services for the automotive and fleet management industry in the Unite... More
IGEN Networks 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 IGEN Networks' 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 IGEN Networks Corp upside and downside potential and time the market with a certain degree of confidence.
IGEN Networks Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IGEN Networks' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IGEN Networks' standard deviation. In reality, there are many statistical measures that can use IGEN Networks historical prices to predict the future IGEN Networks' volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of IGEN Networks' 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.
IGEN Networks Corp Backtested Returns
IGEN Networks Corp holds Efficiency (Sharpe) Ratio of 0.11, which attests that the entity had a 0.11% return per unit of return volatility over the last 3 months. We were able to analyze and collect data for three different technical indicators, which can help you to evaluate if expected returns of 14.06% are justified by taking the suggested risk. The company retains a Market Volatility (i.e., Beta) of 0.0, which attests to not very significant fluctuations relative to the market. the returns on MARKET and IGEN Networks are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
IGEN Networks Corp has no correlation between past and present. Overlapping area represents the amount of predictability between IGEN Networks time series from 14th of November 2024 to 29th of November 2024 and 29th of November 2024 to 14th 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 IGEN Networks Corp price movement. The serial correlation of 0.0 indicates that just 0.0% of current IGEN Networks 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 |
IGEN Networks Corp lagged returns against current returns
Autocorrelation, which is IGEN Networks 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 IGEN Networks' pink sheet expected returns. We can calculate the autocorrelation of IGEN Networks returns to help us make a trade decision. For example, suppose you find that IGEN Networks 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 |
IGEN Networks 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 IGEN Networks pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IGEN Networks pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IGEN Networks pink sheet over time.
Current vs Lagged Prices |
Timeline |
IGEN Networks Lagged Returns
When evaluating IGEN Networks' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IGEN Networks pink sheet have on its future price. IGEN Networks 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, IGEN Networks autocorrelation shows the relationship between IGEN Networks pink sheet current value and its past values and can show if there is a momentum factor associated with investing in IGEN Networks Corp.
Regressed Prices |
Timeline |
Pair Trading with IGEN Networks
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 IGEN Networks 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 IGEN Networks will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to IGEN Networks could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace IGEN Networks 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 IGEN Networks - 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 IGEN Networks Corp to buy it.
The correlation of IGEN Networks 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 IGEN Networks moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if IGEN Networks Corp 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 IGEN Networks 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.Other Information on Investing in IGEN Pink Sheet
IGEN Networks financial ratios help investors to determine whether IGEN Pink Sheet 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 IGEN with respect to the benefits of owning IGEN Networks security.