Financial Industries Fund Market Value
| FIDCX Fund | USD 17.98 0.01 0.06% |
| Symbol | Financial |
Financial Industries '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 Financial Industries' 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 Financial Industries.
| 11/06/2023 |
| 11/30/2024 |
If you would invest 0.00 in Financial Industries on November 6, 2023 and sell it all today you would earn a total of 0.00 from holding Financial Industries Fund or generate 0.0% return on investment in Financial Industries over 390 days. Financial Industries is related to or competes with Qs Us, Arrow Managed, Balanced Fund, T Rowe, and Bbh Partner. The fund normally invests at least 80 percent of its net assets in equity securities of U.S More
Financial Industries 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 Financial Industries' 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 Financial Industries Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8858 | |||
| Information Ratio | 0.0915 | |||
| Maximum Drawdown | 9.68 | |||
| Value At Risk | (1.29) | |||
| Potential Upside | 1.89 |
Financial Industries Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Financial Industries' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Financial Industries' standard deviation. In reality, there are many statistical measures that can use Financial Industries historical prices to predict the future Financial Industries' volatility.| Risk Adjusted Performance | 0.1541 | |||
| Jensen Alpha | 0.0603 | |||
| Total Risk Alpha | 0.0283 | |||
| Sortino Ratio | 0.1361 | |||
| Treynor Ratio | 0.1685 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Financial Industries' 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.
Financial Industries Backtested Returns
Financial Industries appears to be very steady, given 3 months investment horizon. Financial Industries secures Sharpe Ratio (or Efficiency) of 0.2, which denotes the fund had a 0.2% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Financial Industries Fund, which you can use to evaluate the volatility of the entity. Please utilize Financial Industries' Downside Deviation of 0.8858, mean deviation of 0.8574, and Coefficient Of Variation of 510.1 to check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 1.47, 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, Financial Industries will likely underperform.
Auto-correlation | 0.77 |
Good predictability
Financial Industries Fund has good predictability. Overlapping area represents the amount of predictability between Financial Industries time series from 6th of November 2023 to 19th of May 2024 and 19th of May 2024 to 30th 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 Financial Industries price movement. The serial correlation of 0.77 indicates that around 77.0% of current Financial Industries price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.77 | |
| Spearman Rank Test | 0.87 | |
| Residual Average | 0.0 | |
| Price Variance | 1.27 |
Financial Industries lagged returns against current returns
Autocorrelation, which is Financial Industries 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 Financial Industries' mutual fund expected returns. We can calculate the autocorrelation of Financial Industries returns to help us make a trade decision. For example, suppose you find that Financial Industries 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 |
Financial Industries 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 Financial Industries mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Financial Industries mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Financial Industries mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Financial Industries Lagged Returns
When evaluating Financial Industries' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Financial Industries mutual fund have on its future price. Financial Industries 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, Financial Industries autocorrelation shows the relationship between Financial Industries mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Financial Industries Fund.
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 Financial Mutual Fund
Financial Industries financial ratios help investors to determine whether Financial 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 Financial with respect to the benefits of owning Financial Industries security.
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