Rayliant Quantamental China Etf Market Value
| RAYC Etf | USD 14.40 0.06 0.41% |
| Symbol | Rayliant |
The market value of Rayliant Quantamental is measured differently than its book value, which is the value of Rayliant that is recorded on the company's balance sheet. Investors also form their own opinion of Rayliant Quantamental's value that differs from its market value or its book value, called intrinsic value, which is Rayliant Quantamental'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 Rayliant Quantamental's market value can be influenced by many factors that don't directly affect Rayliant Quantamental'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 Rayliant Quantamental's value and its price as these two are different measures arrived at by different means. Investors typically determine if Rayliant Quantamental is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Rayliant Quantamental'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.
Rayliant Quantamental '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 Rayliant Quantamental'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 Rayliant Quantamental.
| 12/27/2024 |
| 03/27/2025 |
If you would invest 0.00 in Rayliant Quantamental on December 27, 2024 and sell it all today you would earn a total of 0.00 from holding Rayliant Quantamental China or generate 0.0% return on investment in Rayliant Quantamental over 90 days. Rayliant Quantamental is related to or competes with IShares MSCI, Franklin FTSE, and Simplify Exchange. The fund invests, under normal circumstances, at least 80 percent of its net assets plus any borrowings for investment p... More
Rayliant Quantamental 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 Rayliant Quantamental'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 Rayliant Quantamental China upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.13 | |||
| Information Ratio | 0.0309 | |||
| Maximum Drawdown | 5.03 | |||
| Value At Risk | (1.94) | |||
| Potential Upside | 1.75 |
Rayliant Quantamental Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Rayliant Quantamental's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Rayliant Quantamental's standard deviation. In reality, there are many statistical measures that can use Rayliant Quantamental historical prices to predict the future Rayliant Quantamental's volatility.| Risk Adjusted Performance | 0.0343 | |||
| Jensen Alpha | 0.033 | |||
| Total Risk Alpha | 0.0358 | |||
| Sortino Ratio | 0.0309 | |||
| Treynor Ratio | 0.1717 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Rayliant Quantamental'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.
Rayliant Quantamental Backtested Returns
At this point, Rayliant Quantamental is very steady. Rayliant Quantamental maintains Sharpe Ratio (i.e., Efficiency) of close to zero, which implies the entity had a close to zero % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Rayliant Quantamental, which you can use to evaluate the volatility of the etf. Please check Rayliant Quantamental's Risk Adjusted Performance of 0.0343, semi deviation of 1.03, and Coefficient Of Variation of 2658.62 to confirm if the risk estimate we provide is consistent with the expected return of 0.0054%. The etf holds a Beta of 0.19, which implies not very significant fluctuations relative to the market. As returns on the market increase, Rayliant Quantamental's returns are expected to increase less than the market. However, during the bear market, the loss of holding Rayliant Quantamental is expected to be smaller as well.
Auto-correlation | -0.03 |
Very weak reverse predictability
Rayliant Quantamental China has very weak reverse predictability. Overlapping area represents the amount of predictability between Rayliant Quantamental time series from 27th of December 2024 to 10th of February 2025 and 10th of February 2025 to 27th 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 Rayliant Quantamental price movement. The serial correlation of -0.03 indicates that only 3.0% of current Rayliant Quantamental price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.03 | |
| Spearman Rank Test | 0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Rayliant Quantamental lagged returns against current returns
Autocorrelation, which is Rayliant Quantamental 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 Rayliant Quantamental's etf expected returns. We can calculate the autocorrelation of Rayliant Quantamental returns to help us make a trade decision. For example, suppose you find that Rayliant Quantamental 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 |
Rayliant Quantamental 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 Rayliant Quantamental etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Rayliant Quantamental etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Rayliant Quantamental etf over time.
Current vs Lagged Prices |
| Timeline |
Rayliant Quantamental Lagged Returns
When evaluating Rayliant Quantamental's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Rayliant Quantamental etf have on its future price. Rayliant Quantamental 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, Rayliant Quantamental autocorrelation shows the relationship between Rayliant Quantamental etf current value and its past values and can show if there is a momentum factor associated with investing in Rayliant Quantamental China.
Regressed Prices |
| Timeline |
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Check out Rayliant Quantamental Correlation, Rayliant Quantamental Volatility and Rayliant Quantamental Alpha and Beta module to complement your research on Rayliant Quantamental. You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
Rayliant Quantamental 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.