Federated Institutional High Fund Market Value
| FIHBX Fund | USD 8.92 0.01 0.11% |
| Symbol | Federated |
Federated Institutional '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 Federated Institutional'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 Federated Institutional.
| 10/31/2023 |
| 11/24/2024 |
If you would invest 0.00 in Federated Institutional on October 31, 2023 and sell it all today you would earn a total of 0.00 from holding Federated Institutional High or generate 0.0% return on investment in Federated Institutional over 390 days. Federated Institutional is related to or competes with Janus High, Northeast Investors, High Yield, Ab Sustainable, and Northern High. The fund invests primarily in a diversified portfolio of high yield corporate bonds , which include debt securities issu... More
Federated Institutional 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 Federated Institutional'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 Federated Institutional High upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.188 | |||
| Information Ratio | (0.66) | |||
| Maximum Drawdown | 0.783 | |||
| Value At Risk | (0.22) | |||
| Potential Upside | 0.3367 |
Federated Institutional Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Federated Institutional's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Federated Institutional's standard deviation. In reality, there are many statistical measures that can use Federated Institutional historical prices to predict the future Federated Institutional's volatility.| Risk Adjusted Performance | 0.0865 | |||
| Jensen Alpha | 0.0087 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.56) | |||
| Treynor Ratio | 0.2696 |
Federated Institutional Backtested Returns
At this stage we consider Federated Mutual Fund to be very steady. Federated Institutional secures Sharpe Ratio (or Efficiency) of 0.12, which denotes the fund had a 0.12% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Federated Institutional High, which you can use to evaluate the volatility of the entity. Please confirm Federated Institutional's Mean Deviation of 0.1195, standard deviation of 0.1586, and Coefficient Of Variation of 614.0 to check if the risk estimate we provide is consistent with the expected return of 0.0192%. The fund shows a Beta (market volatility) of 0.0587, which means not very significant fluctuations relative to the market. As returns on the market increase, Federated Institutional's returns are expected to increase less than the market. However, during the bear market, the loss of holding Federated Institutional is expected to be smaller as well.
Auto-correlation | 0.82 |
Very good predictability
Federated Institutional High has very good predictability. Overlapping area represents the amount of predictability between Federated Institutional time series from 31st of October 2023 to 13th of May 2024 and 13th of May 2024 to 24th 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 Federated Institutional price movement. The serial correlation of 0.82 indicates that around 82.0% of current Federated Institutional price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.82 | |
| Spearman Rank Test | 0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Federated Institutional lagged returns against current returns
Autocorrelation, which is Federated Institutional 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 Federated Institutional's mutual fund expected returns. We can calculate the autocorrelation of Federated Institutional returns to help us make a trade decision. For example, suppose you find that Federated Institutional 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 |
Federated Institutional 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 Federated Institutional mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Federated Institutional mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Federated Institutional mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Federated Institutional Lagged Returns
When evaluating Federated Institutional's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Federated Institutional mutual fund have on its future price. Federated Institutional 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, Federated Institutional autocorrelation shows the relationship between Federated Institutional mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Federated Institutional High.
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 Federated Mutual Fund
Federated Institutional financial ratios help investors to determine whether Federated 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 Federated with respect to the benefits of owning Federated Institutional security.
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