Emerald Banking And Fund Market Value
| HSSIX Fund | USD 23.15 0.22 0.94% |
| Symbol | Emerald |
Emerald Banking '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 Emerald Banking'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 Emerald Banking.
| 03/16/2024 |
| 04/15/2024 |
If you would invest 0.00 in Emerald Banking on March 16, 2024 and sell it all today you would earn a total of 0.00 from holding Emerald Banking And or generate 0.0% return on investment in Emerald Banking over 30 days. Emerald Banking is related to or competes with Rmb Mendon, and Towle Deep. The fund has adopted an investment policy that it will, under normal conditions, invest at least 80 percent of the value of its assets in stocks of companies principally engaged in banking or financial services, and collective investment vehicles such as mutual funds and exchange-traded funds that invest in companies that are principally engaged in banking and financial services. More
Emerald Banking 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 Emerald Banking'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 Emerald Banking And upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 7.2 | |||
| Value At Risk | (2.60) | |||
| Potential Upside | 2.55 |
Emerald Banking Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Emerald Banking's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Emerald Banking's standard deviation. In reality, there are many statistical measures that can use Emerald Banking historical prices to predict the future Emerald Banking's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.23) | |||
| Total Risk Alpha | (0.30) | |||
| Treynor Ratio | (0.1) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Emerald Banking'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.
Emerald Banking And Backtested Returns
Emerald Banking And secures Sharpe Ratio (or Efficiency) of -0.0748, which denotes the fund had a -0.0748% return per unit of risk over the last 3 months. Emerald Banking And exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Emerald Banking's Mean Deviation of 1.09, standard deviation of 1.52, and Variance of 2.3 to check the risk estimate we provide. The fund shows a Beta (market volatility) of 1.37, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Emerald Banking will likely underperform.
Auto-correlation | -0.72 |
Almost perfect reverse predictability
Emerald Banking And has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Emerald Banking time series from 16th of March 2024 to 31st of March 2024 and 31st of March 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 Emerald Banking And price movement. The serial correlation of -0.72 indicates that around 72.0% of current Emerald Banking price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.72 | |
| Spearman Rank Test | -0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 0.19 |
Emerald Banking And lagged returns against current returns
Autocorrelation, which is Emerald Banking 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 Emerald Banking's mutual fund expected returns. We can calculate the autocorrelation of Emerald Banking returns to help us make a trade decision. For example, suppose you find that Emerald Banking 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 |
Emerald Banking 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 Emerald Banking mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Emerald Banking mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Emerald Banking mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Emerald Banking Lagged Returns
When evaluating Emerald Banking's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Emerald Banking mutual fund have on its future price. Emerald Banking 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, Emerald Banking autocorrelation shows the relationship between Emerald Banking mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Emerald Banking And.
Regressed Prices |
| Timeline |
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Emerald Banking 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.