RTSI Index (Russia) Market Value
| RTSI Index | 1,160 6.22 0.54% |
| Symbol | RTSI |
RTSI Index '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 RTSI Index's index 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 RTSI Index.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in RTSI Index on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding RTSI Index or generate 0.0% return on investment in RTSI Index over 30 days.
RTSI Index 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 RTSI Index's index 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 RTSI Index upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7944 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 4.68 | |||
| Value At Risk | (1.10) | |||
| Potential Upside | 1.36 |
RTSI Index Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for RTSI Index's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as RTSI Index's standard deviation. In reality, there are many statistical measures that can use RTSI Index historical prices to predict the future RTSI Index's volatility.| Risk Adjusted Performance | 0.0233 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.05) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of RTSI Index'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.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as RTSI Index. Your research has to be compared to or analyzed against RTSI Index's peers to derive any actionable benefits. When done correctly, RTSI Index's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in RTSI Index.
RTSI Index Backtested Returns
RTSI Index maintains Sharpe Ratio (i.e., Efficiency) of 0.0425, which implies the entity had a 0.0425% return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for RTSI Index, which you can use to evaluate the volatility of the index. The index holds a Beta of 0.0, which implies not very significant fluctuations relative to the market. the returns on MARKET and RTSI Index are completely uncorrelated.
Auto-correlation | -0.32 |
Poor reverse predictability
RTSI Index has poor reverse predictability. Overlapping area represents the amount of predictability between RTSI Index time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th of April 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 RTSI Index price movement. The serial correlation of -0.32 indicates that nearly 32.0% of current RTSI Index price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.32 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 17.71 |
RTSI Index lagged returns against current returns
Autocorrelation, which is RTSI Index index'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 RTSI Index's index expected returns. We can calculate the autocorrelation of RTSI Index returns to help us make a trade decision. For example, suppose you find that RTSI Index has exhibited high autocorrelation historically, and you observe that the index 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 |
RTSI Index 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 RTSI Index index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if RTSI Index index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in RTSI Index index over time.
Current vs Lagged Prices |
| Timeline |
RTSI Index Lagged Returns
When evaluating RTSI Index's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of RTSI Index index have on its future price. RTSI Index 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, RTSI Index autocorrelation shows the relationship between RTSI Index index current value and its past values and can show if there is a momentum factor associated with investing in RTSI Index.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards RTSI Index in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, RTSI Index's short interest history, or implied volatility extrapolated from RTSI Index options trading.
Currently Active Assets on Macroaxis
Check out Your Equity Center to better understand how to build diversified portfolios. Also, note that the market value of any index could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
RTSI Index technical index 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, index market cycles, or different charting patterns.