Rayliant Quantamental Emerging Etf Market Value
| RAYE Etf | USD 25.03 0.13 0.52% |
| 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.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Rayliant Quantamental on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Rayliant Quantamental Emerging or generate 0.0% return on investment in Rayliant Quantamental over 30 days. Rayliant Quantamental is related to or competes with Xtrackers MSCI, FlexShares Morningstar, and First Trust. 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 Emerging upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.27) | |||
| Maximum Drawdown | 3.73 | |||
| Value At Risk | (1.49) | |||
| Potential Upside | 1.16 |
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 | (0.08) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | (0.74) |
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
Rayliant Quantamental maintains Sharpe Ratio (i.e., Efficiency) of -0.0541, which implies the entity had a -0.0541% return per unit of risk over the last 3 months. Rayliant Quantamental exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Rayliant Quantamental's Risk Adjusted Performance of (0.08), variance of 0.6285, and Coefficient Of Variation of (992.29) to confirm the risk estimate we provide. The etf holds a Beta of 0.12, 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 | 0.47 |
Average predictability
Rayliant Quantamental Emerging has average predictability. Overlapping area represents the amount of predictability between Rayliant Quantamental time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th of November 2024. 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 0.47 indicates that about 47.0% of current Rayliant Quantamental price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.47 | |
| Spearman Rank Test | -0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
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 Emerging.
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 Rayliant Quantamental is a strong investment it is important to analyze Rayliant Quantamental'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 Rayliant Quantamental's future performance. For an informed investment choice regarding Rayliant Etf, refer to the following important reports: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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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.