Strategic Income Opportunities Fund Market Value
| JIPRX Fund | USD 9.76 0.05 0.51% |
| Symbol | Strategic |
Strategic Income '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 Strategic Income's mutual fund 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 Strategic Income.
| 10/18/2023 |
| 04/15/2024 |
If you would invest 0.00 in Strategic Income on October 18, 2023 and sell it all today you would earn a total of 0.00 from holding Strategic Income Opportunities or generate 0.0% return on investment in Strategic Income over 180 days. Strategic Income is related to or competes with Regional Bank, Regional Bank, Multimanager Lifestyle, Multimanager Lifestyle, Multimanager Lifestyle, Multimanager Lifestyle, and Multimanager Lifestyle. The fund invests at least 80 percent of its assets in the following types of securities, which may be denominated in U.S More
Strategic Income 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 Strategic Income's mutual fund 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 Strategic Income Opportunities upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.33) | |||
| Maximum Drawdown | 1.31 | |||
| Value At Risk | (0.51) | |||
| Potential Upside | 0.3064 |
Strategic Income Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Strategic Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Strategic Income's standard deviation. In reality, there are many statistical measures that can use Strategic Income historical prices to predict the future Strategic Income's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | (0.05) | |||
| Treynor Ratio | (0.09) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Strategic Income'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.
Strategic Me Opportu Backtested Returns
Strategic Me Opportu owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0529, which indicates the fund had a -0.0529% return per unit of risk over the last 3 months. Strategic Income Opportunities exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Strategic Income's Risk Adjusted Performance of (0.03), variance of 0.0707, and Coefficient Of Variation of (2,992) to confirm the risk estimate we provide. The entity has a beta of 0.22, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Strategic Income's returns are expected to increase less than the market. However, during the bear market, the loss of holding Strategic Income is expected to be smaller as well.
Auto-correlation | 0.52 |
Modest predictability
Strategic Income Opportunities has modest predictability. Overlapping area represents the amount of predictability between Strategic Income time series from 18th of October 2023 to 16th of January 2024 and 16th of January 2024 to 15th 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 Strategic Me Opportu price movement. The serial correlation of 0.52 indicates that about 52.0% of current Strategic Income price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.52 | |
| Spearman Rank Test | 0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Strategic Me Opportu lagged returns against current returns
Autocorrelation, which is Strategic Income mutual fund'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 Strategic Income's mutual fund expected returns. We can calculate the autocorrelation of Strategic Income returns to help us make a trade decision. For example, suppose you find that Strategic Income has exhibited high autocorrelation historically, and you observe that the mutual fund 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 |
Strategic Income 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 Strategic Income mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Strategic Income mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Strategic Income mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Strategic Income Lagged Returns
When evaluating Strategic Income's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Strategic Income mutual fund have on its future price. Strategic Income 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, Strategic Income autocorrelation shows the relationship between Strategic Income mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Strategic Income Opportunities.
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 Strategic Income 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, Strategic Income's short interest history, or implied volatility extrapolated from Strategic Income options trading.
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Strategic Income technical mutual fund 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, fund market cycles, or different charting patterns.