Banking Fund Investor Fund Market Value
| RYKIX Fund | USD 81.89 0.50 0.61% |
| Symbol | Banking |
Banking 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 Banking 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 Banking Fund.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Banking Fund on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Banking Fund Investor or generate 0.0% return on investment in Banking Fund over 30 days. Banking Fund is related to or competes with Financial Services, Health Care, Retailing Fund, Technology Fund, and Telecommunications. The fund invests substantially all of its net assets in equity securities of Banking Companies that are traded in the Un... More
Banking 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 Banking 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 Banking Fund Investor upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.42 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 6.09 | |||
| Value At Risk | (2.03) | |||
| Potential Upside | 2.29 |
Banking Fund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Banking Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Banking Fund's standard deviation. In reality, there are many statistical measures that can use Banking Fund historical prices to predict the future Banking Fund's volatility.| Risk Adjusted Performance | 0.014 | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.0062 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Banking 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.
Banking Fund Investor Backtested Returns
Banking Fund Investor secures Sharpe Ratio (or Efficiency) of -0.0203, which signifies that the fund had a -0.0203% return per unit of risk over the last 3 months. Banking Fund Investor exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Banking Fund's Mean Deviation of 0.8971, risk adjusted performance of 0.014, and Downside Deviation of 1.42 to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 1.33, which signifies 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, Banking Fund will likely underperform.
Auto-correlation | -0.2 |
Insignificant reverse predictability
Banking Fund Investor has insignificant reverse predictability. Overlapping area represents the amount of predictability between Banking Fund time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th 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 Banking Fund Investor price movement. The serial correlation of -0.2 indicates that over 20.0% of current Banking Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.2 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 4.09 |
Banking Fund Investor lagged returns against current returns
Autocorrelation, which is Banking 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 Banking Fund's mutual fund expected returns. We can calculate the autocorrelation of Banking Fund returns to help us make a trade decision. For example, suppose you find that Banking 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 |
Banking 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 Banking Fund mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Banking 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 Banking Fund mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Banking Fund Lagged Returns
When evaluating Banking Fund's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Banking Fund mutual fund have on its future price. Banking 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, Banking Fund autocorrelation shows the relationship between Banking Fund mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Banking Fund Investor.
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 Banking 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, Banking Fund's short interest history, or implied volatility extrapolated from Banking Fund options trading.
Currently Active Assets on Macroaxis
Check out Banking Fund Correlation, Banking Fund Volatility and Banking Fund Alpha and Beta module to complement your research on Banking Fund. You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
Banking 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.