James Alpha Structured Fund Market Value
| JSVCX Fund | USD 9.82 0.01 0.10% |
| Symbol | James |
James Alpha '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 James Alpha'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 James Alpha.
| 02/29/2024 |
| 11/25/2024 |
If you would invest 0.00 in James Alpha on February 29, 2024 and sell it all today you would earn a total of 0.00 from holding James Alpha Structured or generate 0.0% return on investment in James Alpha over 270 days. James Alpha is related to or competes with James Alpha, James Alpha, James Alpha, James Alpha, James Alpha, James Alpha, and James Alpha. The fund seeks to achieve its investment objectives, under normal conditions, by investing in structured credit securiti... More
James Alpha 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 James Alpha'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 James Alpha Structured upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1484 | |||
| Information Ratio | (0.85) | |||
| Maximum Drawdown | 0.7134 | |||
| Value At Risk | (0.20) | |||
| Potential Upside | 0.206 |
James Alpha Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for James Alpha's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as James Alpha's standard deviation. In reality, there are many statistical measures that can use James Alpha historical prices to predict the future James Alpha's volatility.| Risk Adjusted Performance | 0.0913 | |||
| Jensen Alpha | 0.0191 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.72) | |||
| Treynor Ratio | (0.28) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of James Alpha'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.
James Alpha Structured Backtested Returns
At this stage we consider James Mutual Fund to be very steady. James Alpha Structured holds Efficiency (Sharpe) Ratio of 0.17, which attests that the entity had a 0.17% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for James Alpha Structured, which you can use to evaluate the volatility of the entity. Please check out James Alpha's Risk Adjusted Performance of 0.0913, coefficient of variation of 540.17, and Market Risk Adjusted Performance of (0.27) to validate if the risk estimate we provide is consistent with the expected return of 0.0209%. The fund retains a Market Volatility (i.e., Beta) of -0.0472, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning James Alpha are expected to decrease at a much lower rate. During the bear market, James Alpha is likely to outperform the market.
Auto-correlation | 0.43 |
Average predictability
James Alpha Structured has average predictability. Overlapping area represents the amount of predictability between James Alpha time series from 29th of February 2024 to 13th of July 2024 and 13th of July 2024 to 25th 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 James Alpha Structured price movement. The serial correlation of 0.43 indicates that just about 43.0% of current James Alpha price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.43 | |
| Spearman Rank Test | 0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
James Alpha Structured lagged returns against current returns
Autocorrelation, which is James Alpha 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 James Alpha's mutual fund expected returns. We can calculate the autocorrelation of James Alpha returns to help us make a trade decision. For example, suppose you find that James Alpha 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 |
James Alpha 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 James Alpha mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if James Alpha mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in James Alpha mutual fund over time.
Current vs Lagged Prices |
| Timeline |
James Alpha Lagged Returns
When evaluating James Alpha's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of James Alpha mutual fund have on its future price. James Alpha 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, James Alpha autocorrelation shows the relationship between James Alpha mutual fund current value and its past values and can show if there is a momentum factor associated with investing in James Alpha Structured.
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.Other Information on Investing in James Mutual Fund
James Alpha financial ratios help investors to determine whether James Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in James with respect to the benefits of owning James Alpha security.
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