Yellow Stock Market Value
| YELLQ Stock | 0.03 0.02 200.00% |
| Symbol | Yellow |
Yellow '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 Yellow'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 Yellow.
| 11/26/2025 |
| 12/26/2025 |
If you would invest 0.00 in Yellow on November 26, 2025 and sell it all today you would earn a total of 0.00 from holding Yellow or generate 0.0% return on investment in Yellow over 30 days.
Yellow 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 Yellow'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 Yellow upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 41.73 | |||
| Information Ratio | 0.1561 | |||
| Maximum Drawdown | 566.67 | |||
| Value At Risk | (66.67) | |||
| Potential Upside | 200.0 |
Yellow Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Yellow's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Yellow's standard deviation. In reality, there are many statistical measures that can use Yellow historical prices to predict the future Yellow's volatility.| Risk Adjusted Performance | 0.1204 | |||
| Jensen Alpha | 16.35 | |||
| Total Risk Alpha | 5.76 | |||
| Sortino Ratio | 0.3781 | |||
| Treynor Ratio | (2.23) |
Yellow Backtested Returns
Yellow is out of control given 3 months investment horizon. Yellow shows Sharpe Ratio of 0.16, which attests that the company had a 0.16 % return per unit of risk over the last 3 months. We were able to break down and interpolate twenty-seven different technical indicators, which can help you to evaluate if expected returns of 15.86% are justified by taking the suggested risk. Use Yellow Mean Deviation of 48.62, market risk adjusted performance of (2.22), and Downside Deviation of 41.73 to evaluate company specific risk that cannot be diversified away. Yellow holds a performance score of 12 on a scale of zero to a hundred. The firm maintains a market beta of -7.12, which attests to a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Yellow are expected to decrease by larger amounts. On the other hand, during market turmoil, Yellow is expected to outperform it. Use Yellow value at risk, as well as the relationship between the skewness and day typical price , to analyze future returns on Yellow.
Auto-correlation | 0.70 |
Good predictability
Yellow has good predictability. Overlapping area represents the amount of predictability between Yellow time series from 26th of November 2025 to 11th of December 2025 and 11th of December 2025 to 26th of December 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 Yellow price movement. The serial correlation of 0.7 indicates that around 70.0% of current Yellow price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.7 | |
| Spearman Rank Test | 0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Yellow lagged returns against current returns
Autocorrelation, which is Yellow 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 Yellow's pink sheet expected returns. We can calculate the autocorrelation of Yellow returns to help us make a trade decision. For example, suppose you find that Yellow 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 |
Yellow 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 Yellow pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Yellow pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Yellow pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Yellow Lagged Returns
When evaluating Yellow's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Yellow pink sheet have on its future price. Yellow 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, Yellow autocorrelation shows the relationship between Yellow pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Yellow.
Regressed Prices |
| Timeline |
Pair Trading with Yellow
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 Yellow 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 Yellow will appreciate offsetting losses from the drop in the long position's value.Moving together with Yellow Pink Sheet
| 0.68 | AMZN | Amazon Inc Aggressive Push | PairCorr |
Moving against Yellow Pink Sheet
| 0.54 | META | Meta Platforms | PairCorr |
| 0.51 | RGC | Regencell Bioscience Trending | PairCorr |
| 0.48 | GSVRF | Guanajuato Silver | PairCorr |
| 0.46 | ALVLF | Big Ridge Gold | PairCorr |
| 0.43 | ASTI | Ascent Solar Technol Trending | PairCorr |
The ability to find closely correlated positions to Yellow could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Yellow 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 Yellow - 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 Yellow to buy it.
The correlation of Yellow 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 Yellow moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Yellow 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 Yellow 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 Yellow Pink Sheet Analysis
When running Yellow's price analysis, check to measure Yellow'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 Yellow is operating at the current time. Most of Yellow's value examination focuses on studying past and present price action to predict the probability of Yellow's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Yellow's price. Additionally, you may evaluate how the addition of Yellow to your portfolios can decrease your overall portfolio volatility.