Research Affiliates Deletions Etf Market Value
| NIXT Etf | 27.89 0.01 0.04% |
| Symbol | Research |
The market value of Research Affiliates is measured differently than its book value, which is the value of Research that is recorded on the company's balance sheet. Investors also form their own opinion of Research Affiliates' value that differs from its market value or its book value, called intrinsic value, which is Research Affiliates' 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 Research Affiliates' market value can be influenced by many factors that don't directly affect Research Affiliates' 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 Research Affiliates' value and its price as these two are different measures arrived at by different means. Investors typically determine if Research Affiliates is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Research Affiliates' 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.
Research Affiliates '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 Research Affiliates' 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 Research Affiliates.
| 11/03/2024 |
| 12/03/2024 |
If you would invest 0.00 in Research Affiliates on November 3, 2024 and sell it all today you would earn a total of 0.00 from holding Research Affiliates Deletions or generate 0.0% return on investment in Research Affiliates over 30 days. Research Affiliates is related to or competes with FT Vest, Northern Lights, Dimensional International, JPMorgan Fundamental, Matthews China, Davis Select, and Dimensional ETF. Research Affiliates is entity of United States More
Research Affiliates 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 Research Affiliates' 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 Research Affiliates Deletions upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.07 | |||
| Information Ratio | 0.0741 | |||
| Maximum Drawdown | 5.9 | |||
| Value At Risk | (1.74) | |||
| Potential Upside | 2.05 |
Research Affiliates Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Research Affiliates' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Research Affiliates' standard deviation. In reality, there are many statistical measures that can use Research Affiliates historical prices to predict the future Research Affiliates' volatility.| Risk Adjusted Performance | 0.1444 | |||
| Jensen Alpha | 0.0752 | |||
| Total Risk Alpha | 0.0295 | |||
| Sortino Ratio | 0.0775 | |||
| Treynor Ratio | 0.1846 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Research Affiliates' 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.
Research Affiliates Backtested Returns
Research Affiliates appears to be very steady, given 3 months investment horizon. Research Affiliates maintains Sharpe Ratio (i.e., Efficiency) of 0.18, which implies the entity had a 0.18% return per unit of risk over the last 3 months. We have found thirty technical indicators for Research Affiliates, which you can use to evaluate the volatility of the etf. Please evaluate Research Affiliates' Risk Adjusted Performance of 0.1444, coefficient of variation of 541.16, and Semi Deviation of 0.8511 to confirm if our risk estimates are consistent with your expectations. The etf holds a Beta of 1.07, which implies a somewhat significant risk relative to the market. Research Affiliates returns are very sensitive to returns on the market. As the market goes up or down, Research Affiliates is expected to follow.
Auto-correlation | 0.18 |
Very weak predictability
Research Affiliates Deletions has very weak predictability. Overlapping area represents the amount of predictability between Research Affiliates time series from 3rd of November 2024 to 18th of November 2024 and 18th of November 2024 to 3rd of December 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 Research Affiliates price movement. The serial correlation of 0.18 indicates that over 18.0% of current Research Affiliates price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.18 | |
| Spearman Rank Test | 0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 0.4 |
Research Affiliates lagged returns against current returns
Autocorrelation, which is Research Affiliates 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 Research Affiliates' etf expected returns. We can calculate the autocorrelation of Research Affiliates returns to help us make a trade decision. For example, suppose you find that Research Affiliates 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 |
Research Affiliates 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 Research Affiliates etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Research Affiliates etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Research Affiliates etf over time.
Current vs Lagged Prices |
| Timeline |
Research Affiliates Lagged Returns
When evaluating Research Affiliates' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Research Affiliates etf have on its future price. Research Affiliates 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, Research Affiliates autocorrelation shows the relationship between Research Affiliates etf current value and its past values and can show if there is a momentum factor associated with investing in Research Affiliates Deletions.
Regressed Prices |
| Timeline |
Thematic Opportunities
Explore Investment Opportunities
Check out Research Affiliates Correlation, Research Affiliates Volatility and Research Affiliates Alpha and Beta module to complement your research on Research Affiliates. You can also try the Content Syndication module to quickly integrate customizable finance content to your own investment portal.
Research Affiliates 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.