Easterly Snow Longshort Fund Market Value
| SNORX Fund | USD 33.75 0.22 0.65% |
| Symbol | Easterly |
Easterly Snow '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 Easterly Snow'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 Easterly Snow.
| 12/17/2023 |
| 12/11/2024 |
If you would invest 0.00 in Easterly Snow on December 17, 2023 and sell it all today you would earn a total of 0.00 from holding Easterly Snow Longshort or generate 0.0% return on investment in Easterly Snow over 360 days. Easterly Snow is related to or competes with SCOR PK, Morningstar Unconstrained, Thrivent High, Via Renewables, Bondbloxx ETF, Spring Valley, and 70082LAB3. The fund invests in equity securities, including common and preferred stocks, convertible securities, and shares of othe... More
Easterly Snow 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 Easterly Snow'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 Easterly Snow Longshort upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9433 | |||
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 7.91 | |||
| Value At Risk | (1.00) | |||
| Potential Upside | 1.29 |
Easterly Snow Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Easterly Snow's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Easterly Snow's standard deviation. In reality, there are many statistical measures that can use Easterly Snow historical prices to predict the future Easterly Snow's volatility.| Risk Adjusted Performance | 0.0321 | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | (0.09) | |||
| Treynor Ratio | 0.0311 |
Easterly Snow Longshort Backtested Returns
At this stage we consider Easterly Mutual Fund to be very steady. Easterly Snow Longshort secures Sharpe Ratio (or Efficiency) of 0.045, which denotes the fund had a 0.045% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Easterly Snow Longshort, which you can use to evaluate the volatility of the entity. Please confirm Easterly Snow's Mean Deviation of 0.5995, coefficient of variation of 2418.14, and Downside Deviation of 0.9433 to check if the risk estimate we provide is consistent with the expected return of 0.0425%. The fund shows a Beta (market volatility) of 0.91, which means possible diversification benefits within a given portfolio. Easterly Snow returns are very sensitive to returns on the market. As the market goes up or down, Easterly Snow is expected to follow.
Auto-correlation | 0.64 |
Good predictability
Easterly Snow Longshort has good predictability. Overlapping area represents the amount of predictability between Easterly Snow time series from 17th of December 2023 to 14th of June 2024 and 14th of June 2024 to 11th 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 Easterly Snow Longshort price movement. The serial correlation of 0.64 indicates that roughly 64.0% of current Easterly Snow price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.64 | |
| Spearman Rank Test | 0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 0.93 |
Easterly Snow Longshort lagged returns against current returns
Autocorrelation, which is Easterly Snow 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 Easterly Snow's mutual fund expected returns. We can calculate the autocorrelation of Easterly Snow returns to help us make a trade decision. For example, suppose you find that Easterly Snow 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 |
Easterly Snow 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 Easterly Snow mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Easterly Snow mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Easterly Snow mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Easterly Snow Lagged Returns
When evaluating Easterly Snow's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Easterly Snow mutual fund have on its future price. Easterly Snow 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, Easterly Snow autocorrelation shows the relationship between Easterly Snow mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Easterly Snow Longshort.
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 Easterly Mutual Fund
Easterly Snow financial ratios help investors to determine whether Easterly 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 Easterly with respect to the benefits of owning Easterly Snow security.
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