Yoke Core Etf Market Value
| YOKE Etf | 27.50 0.07 0.25% |
| Symbol | YOKE |
The market value of YOKE Core ETF is measured differently than its book value, which is the value of YOKE that is recorded on the company's balance sheet. Investors also form their own opinion of YOKE Core's value that differs from its market value or its book value, called intrinsic value, which is YOKE Core'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 YOKE Core's market value can be influenced by many factors that don't directly affect YOKE Core'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 YOKE Core's value and its price as these two are different measures arrived at by different means. Investors typically determine if YOKE Core is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, YOKE Core'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.
YOKE Core '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 YOKE Core's etf 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 YOKE Core.
| 11/30/2025 |
| 12/30/2025 |
If you would invest 0.00 in YOKE Core on November 30, 2025 and sell it all today you would earn a total of 0.00 from holding YOKE Core ETF or generate 0.0% return on investment in YOKE Core over 30 days. YOKE Core is related to or competes with Innovator, Invesco India, STF Tactical, Direxion Daily, First Trust, First Trust, and Northern Lights. YOKE Core is entity of United States. It is traded as Etf on NASDAQ exchange. More
YOKE Core 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 YOKE Core's etf 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 YOKE Core ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8262 | |||
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 2.87 | |||
| Value At Risk | (1.36) | |||
| Potential Upside | 1.1 |
YOKE Core Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for YOKE Core's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as YOKE Core's standard deviation. In reality, there are many statistical measures that can use YOKE Core historical prices to predict the future YOKE Core's volatility.| Risk Adjusted Performance | 0.0245 | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.0177 |
YOKE Core ETF Backtested Returns
At this point, YOKE Core is very steady. YOKE Core ETF shows Sharpe Ratio of 0.0188, which attests that the etf had a 0.0188 % return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for YOKE Core ETF, which you can use to evaluate the volatility of the etf. Please check out YOKE Core's Downside Deviation of 0.8262, risk adjusted performance of 0.0245, and Mean Deviation of 0.5509 to validate if the risk estimate we provide is consistent with the expected return of 0.0135%. The entity maintains a market beta of 0.82, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, YOKE Core's returns are expected to increase less than the market. However, during the bear market, the loss of holding YOKE Core is expected to be smaller as well.
Auto-correlation | 0.36 |
Below average predictability
YOKE Core ETF has below average predictability. Overlapping area represents the amount of predictability between YOKE Core time series from 30th of November 2025 to 15th of December 2025 and 15th of December 2025 to 30th 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 YOKE Core ETF price movement. The serial correlation of 0.36 indicates that just about 36.0% of current YOKE Core price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.36 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
YOKE Core ETF lagged returns against current returns
Autocorrelation, which is YOKE Core etf'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 YOKE Core's etf expected returns. We can calculate the autocorrelation of YOKE Core returns to help us make a trade decision. For example, suppose you find that YOKE Core has exhibited high autocorrelation historically, and you observe that the etf 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 |
YOKE Core 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 YOKE Core etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if YOKE Core etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in YOKE Core etf over time.
Current vs Lagged Prices |
| Timeline |
YOKE Core Lagged Returns
When evaluating YOKE Core's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of YOKE Core etf have on its future price. YOKE Core 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, YOKE Core autocorrelation shows the relationship between YOKE Core etf current value and its past values and can show if there is a momentum factor associated with investing in YOKE Core ETF.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether YOKE Core ETF is a strong investment it is important to analyze YOKE Core's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact YOKE Core's future performance. For an informed investment choice regarding YOKE Etf, refer to the following important reports:Check out YOKE Core Correlation, YOKE Core Volatility and YOKE Core Alpha and Beta module to complement your research on YOKE Core. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
YOKE Core technical etf 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, etf market cycles, or different charting patterns.