Yunhong Green Cti Stock Market Value
YHGJ Stock | 0.69 0.03 4.55% |
Symbol | Yunhong |
Yunhong Green CTI Price To Book Ratio
Is Housewares & Specialties space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Yunhong Green. If investors know Yunhong will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Yunhong Green listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (0.07) | Revenue Per Share | Quarterly Revenue Growth 0.321 | Return On Assets | Return On Equity |
The market value of Yunhong Green CTI is measured differently than its book value, which is the value of Yunhong that is recorded on the company's balance sheet. Investors also form their own opinion of Yunhong Green's value that differs from its market value or its book value, called intrinsic value, which is Yunhong Green's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Yunhong Green's market value can be influenced by many factors that don't directly affect Yunhong Green's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Yunhong Green's value and its price as these two are different measures arrived at by different means. Investors typically determine if Yunhong Green is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Yunhong Green's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Yunhong Green '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 Yunhong Green's stock 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 Yunhong Green.
03/26/2024 |
| 02/19/2025 |
If you would invest 0.00 in Yunhong Green on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Yunhong Green CTI or generate 0.0% return on investment in Yunhong Green over 330 days. Yunhong Green is related to or competes with Park Electrochemical, Toro, Norfolk Southern, Academy Sports, Perseus Mining, Ryanair Holdings, and Mesa Air. Yunhong Green is entity of United States More
Yunhong Green 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 Yunhong Green's stock 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 Yunhong Green CTI upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 7.75 | |||
Information Ratio | 0.0342 | |||
Maximum Drawdown | 35.13 | |||
Value At Risk | (7.69) | |||
Potential Upside | 11.11 |
Yunhong Green Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Yunhong Green's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Yunhong Green's standard deviation. In reality, there are many statistical measures that can use Yunhong Green historical prices to predict the future Yunhong Green's volatility.Risk Adjusted Performance | 0.0354 | |||
Jensen Alpha | 0.2399 | |||
Total Risk Alpha | 0.1082 | |||
Sortino Ratio | 0.0307 | |||
Treynor Ratio | 0.2873 |
Yunhong Green CTI Backtested Returns
Yunhong Green appears to be out of control, given 3 months investment horizon. Yunhong Green CTI shows Sharpe Ratio of 0.0365, which attests that the company had a 0.0365 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Yunhong Green CTI, which you can use to evaluate the volatility of the company. Please utilize Yunhong Green's Market Risk Adjusted Performance of 0.2973, mean deviation of 4.55, and Downside Deviation of 7.75 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Yunhong Green holds a performance score of 2. The firm maintains a market beta of 0.88, which attests to possible diversification benefits within a given portfolio. Yunhong Green returns are very sensitive to returns on the market. As the market goes up or down, Yunhong Green is expected to follow. Please check Yunhong Green's maximum drawdown and the relationship between the semi variance and day typical price , to make a quick decision on whether Yunhong Green's historical returns will revert.
Auto-correlation | 0.75 |
Good predictability
Yunhong Green CTI has good predictability. Overlapping area represents the amount of predictability between Yunhong Green time series from 26th of March 2024 to 7th of September 2024 and 7th of September 2024 to 19th of February 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 Yunhong Green CTI price movement. The serial correlation of 0.75 indicates that around 75.0% of current Yunhong Green price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.75 | |
Spearman Rank Test | 0.75 | |
Residual Average | 0.0 | |
Price Variance | 0.02 |
Yunhong Green CTI lagged returns against current returns
Autocorrelation, which is Yunhong Green stock'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 Yunhong Green's stock expected returns. We can calculate the autocorrelation of Yunhong Green returns to help us make a trade decision. For example, suppose you find that Yunhong Green has exhibited high autocorrelation historically, and you observe that the stock 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 |
Yunhong Green 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 Yunhong Green stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Yunhong Green stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Yunhong Green stock over time.
Current vs Lagged Prices |
Timeline |
Yunhong Green Lagged Returns
When evaluating Yunhong Green's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Yunhong Green stock have on its future price. Yunhong Green 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, Yunhong Green autocorrelation shows the relationship between Yunhong Green stock current value and its past values and can show if there is a momentum factor associated with investing in Yunhong Green CTI.
Regressed Prices |
Timeline |
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Yunhong Green technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.