Electronics Fund Class Fund Market Value
RYSCX Fund | USD 324.88 4.32 1.35% |
Symbol | Electronics |
Electronics Fund '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 Electronics Fund'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 Electronics Fund.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in Electronics Fund on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Electronics Fund Class or generate 0.0% return on investment in Electronics Fund over 30 days. Electronics Fund is related to or competes with Alger Health, Health Biotchnology, Tekla Healthcare, Live Oak, Deutsche Health, Invesco Global, and Hartford Healthcare. Under normal circumstances, the fund invests substantially all of its net assets in equity securities of Electronics Com... More
Electronics Fund 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 Electronics Fund'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 Electronics Fund Class upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 1.64 | |||
Information Ratio | 0.0775 | |||
Maximum Drawdown | 8.82 | |||
Value At Risk | (2.39) | |||
Potential Upside | 3.48 |
Electronics Fund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Electronics Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Electronics Fund's standard deviation. In reality, there are many statistical measures that can use Electronics Fund historical prices to predict the future Electronics Fund's volatility.Risk Adjusted Performance | 0.0909 | |||
Jensen Alpha | 0.2327 | |||
Total Risk Alpha | (0.14) | |||
Sortino Ratio | 0.0863 | |||
Treynor Ratio | 1.0 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Electronics Fund'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.
Electronics Fund Class Backtested Returns
Electronics Fund appears to be very steady, given 3 months investment horizon. Electronics Fund Class secures Sharpe Ratio (or Efficiency) of 0.14, which denotes the fund had a 0.14% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Electronics Fund Class, which you can use to evaluate the volatility of the entity. Please utilize Electronics Fund's Mean Deviation of 1.45, coefficient of variation of 662.03, and Downside Deviation of 1.64 to check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 0.27, which means not very significant fluctuations relative to the market. As returns on the market increase, Electronics Fund's returns are expected to increase less than the market. However, during the bear market, the loss of holding Electronics Fund is expected to be smaller as well.
Auto-correlation | 0.48 |
Average predictability
Electronics Fund Class has average predictability. Overlapping area represents the amount of predictability between Electronics Fund time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 Electronics Fund Class price movement. The serial correlation of 0.48 indicates that about 48.0% of current Electronics Fund price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.48 | |
Spearman Rank Test | 0.47 | |
Residual Average | 0.0 | |
Price Variance | 24.3 |
Electronics Fund Class lagged returns against current returns
Autocorrelation, which is Electronics Fund 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 Electronics Fund's mutual fund expected returns. We can calculate the autocorrelation of Electronics Fund returns to help us make a trade decision. For example, suppose you find that Electronics Fund 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 |
Electronics Fund 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 Electronics Fund mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Electronics Fund mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Electronics Fund mutual fund over time.
Current vs Lagged Prices |
Timeline |
Electronics Fund Lagged Returns
When evaluating Electronics Fund's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Electronics Fund mutual fund have on its future price. Electronics Fund 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, Electronics Fund autocorrelation shows the relationship between Electronics Fund mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Electronics Fund Class.
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 Electronics Fund 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, Electronics Fund's short interest history, or implied volatility extrapolated from Electronics Fund options trading.
Currently Active Assets on Macroaxis
Check out Electronics Fund Correlation, Electronics Fund Volatility and Electronics Fund Alpha and Beta module to complement your research on Electronics Fund. Note that the Electronics Fund Class information on this page should be used as a complementary analysis to other Electronics Fund's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Complementary Tools for Electronics Mutual Fund analysis
When running Electronics Fund's price analysis, check to measure Electronics Fund's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Electronics Fund is operating at the current time. Most of Electronics Fund's value examination focuses on studying past and present price action to predict the probability of Electronics Fund's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Electronics Fund's price. Additionally, you may evaluate how the addition of Electronics Fund to your portfolios can decrease your overall portfolio volatility.
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Electronics Fund 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.