Network Cn Stock Market Value
| NWCN Stock | USD 0.18 0.01 5.26% |
| Symbol | Network |
Network CN '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 Network CN'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 Network CN.
| 03/13/2023 |
| 03/02/2025 |
If you would invest 0.00 in Network CN on March 13, 2023 and sell it all today you would earn a total of 0.00 from holding Network CN or generate 0.0% return on investment in Network CN over 720 days. Network CN is related to or competes with Braskem SA, Abcellera Biologics, Catalyst Pharmaceuticals, Centessa Pharmaceuticals, CF Industries, Air Products, and Alto Neuroscience,. Network CN Inc., together with its subsidiaries, provides out-of-home advertising services to corporate customers in the... More
Network CN 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 Network CN'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 Network CN upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 47.99 | |||
| Information Ratio | 0.1367 | |||
| Maximum Drawdown | 415.08 | |||
| Value At Risk | (46.88) | |||
| Potential Upside | 70.0 |
Network CN Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Network CN's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Network CN's standard deviation. In reality, there are many statistical measures that can use Network CN historical prices to predict the future Network CN's volatility.| Risk Adjusted Performance | 0.1103 | |||
| Jensen Alpha | 7.58 | |||
| Total Risk Alpha | 9.2 | |||
| Sortino Ratio | 0.1565 | |||
| Treynor Ratio | 1.87 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Network CN'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.
Network CN Backtested Returns
Network CN is out of control given 3 months investment horizon. Network CN has Sharpe Ratio of 0.12, which conveys that the firm had a 0.12 % return per unit of risk over the last 3 months. We were able to break down twenty-nine different technical indicators, which can help you to evaluate if expected returns of 6.89% are justified by taking the suggested risk. Use Network CN Risk Adjusted Performance of 0.1103, mean deviation of 23.39, and Downside Deviation of 47.99 to evaluate company specific risk that cannot be diversified away. Network CN holds a performance score of 9 on a scale of zero to a hundred. The company secures a Beta (Market Risk) of 4.01, which conveys 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, Network CN will likely underperform. Use Network CN potential upside, as well as the relationship between the kurtosis and day typical price , to analyze future returns on Network CN.
Auto-correlation | 0.04 |
Virtually no predictability
Network CN has virtually no predictability. Overlapping area represents the amount of predictability between Network CN time series from 13th of March 2023 to 7th of March 2024 and 7th of March 2024 to 2nd of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Network CN price movement. The serial correlation of 0.04 indicates that only as little as 4.0% of current Network CN price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.04 | |
| Spearman Rank Test | -0.71 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Network CN lagged returns against current returns
Autocorrelation, which is Network CN 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 Network CN's pink sheet expected returns. We can calculate the autocorrelation of Network CN returns to help us make a trade decision. For example, suppose you find that Network CN 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 |
Network CN 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 Network CN pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Network CN pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Network CN pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Network CN Lagged Returns
When evaluating Network CN's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Network CN pink sheet have on its future price. Network CN 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, Network CN autocorrelation shows the relationship between Network CN pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Network CN.
Regressed Prices |
| Timeline |
Pair Trading with Network CN
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 Network CN 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 Network CN will appreciate offsetting losses from the drop in the long position's value.Moving against Network Pink Sheet
The ability to find closely correlated positions to Network CN could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Network CN 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 Network CN - 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 Network CN to buy it.
The correlation of Network CN 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 Network CN moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Network CN 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 Network CN 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 Network Pink Sheet
Network CN financial ratios help investors to determine whether Network 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 Network with respect to the benefits of owning Network CN security.