HUNTINGTON BANCSHARES INC Market Value
446150AM6 | 98.46 0.99 1.00% |
Symbol | HUNTINGTON |
HUNTINGTON '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 HUNTINGTON's bond 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 HUNTINGTON.
11/21/2024 |
| 12/21/2024 |
If you would invest 0.00 in HUNTINGTON on November 21, 2024 and sell it all today you would earn a total of 0.00 from holding HUNTINGTON BANCSHARES INC or generate 0.0% return on investment in HUNTINGTON over 30 days. HUNTINGTON is related to or competes with Everspin Technologies, United Microelectronics, Lucid, Visteon Corp, American Axle, Jabil Circuit, and Wabash National. More
HUNTINGTON 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 HUNTINGTON's bond 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 HUNTINGTON BANCSHARES INC upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.10) | |||
Maximum Drawdown | 2.2 | |||
Value At Risk | (0.25) | |||
Potential Upside | 0.3924 |
HUNTINGTON Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for HUNTINGTON's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as HUNTINGTON's standard deviation. In reality, there are many statistical measures that can use HUNTINGTON historical prices to predict the future HUNTINGTON's volatility.Risk Adjusted Performance | (0.03) | |||
Jensen Alpha | (0.02) | |||
Total Risk Alpha | (0.03) | |||
Treynor Ratio | (0.10) |
HUNTINGTON BANCSHARES INC Backtested Returns
HUNTINGTON BANCSHARES INC holds Efficiency (Sharpe) Ratio of -0.073, which attests that the entity had a -0.073% return per unit of volatility over the last 3 months. HUNTINGTON BANCSHARES INC exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out HUNTINGTON's risk adjusted performance of (0.03), and Market Risk Adjusted Performance of (0.09) to validate the risk estimate we provide. The bond retains a Market Volatility (i.e., Beta) of 0.2, which attests to not very significant fluctuations relative to the market. As returns on the market increase, HUNTINGTON's returns are expected to increase less than the market. However, during the bear market, the loss of holding HUNTINGTON is expected to be smaller as well.
Auto-correlation | -0.71 |
Almost perfect reverse predictability
HUNTINGTON BANCSHARES INC has almost perfect reverse predictability. Overlapping area represents the amount of predictability between HUNTINGTON time series from 21st of November 2024 to 6th of December 2024 and 6th of December 2024 to 21st of December 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 HUNTINGTON BANCSHARES INC price movement. The serial correlation of -0.71 indicates that around 71.0% of current HUNTINGTON price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.71 | |
Spearman Rank Test | -0.23 | |
Residual Average | 0.0 | |
Price Variance | 0.11 |
HUNTINGTON BANCSHARES INC lagged returns against current returns
Autocorrelation, which is HUNTINGTON bond'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 HUNTINGTON's bond expected returns. We can calculate the autocorrelation of HUNTINGTON returns to help us make a trade decision. For example, suppose you find that HUNTINGTON has exhibited high autocorrelation historically, and you observe that the bond 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 |
HUNTINGTON 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 HUNTINGTON bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if HUNTINGTON bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in HUNTINGTON bond over time.
Current vs Lagged Prices |
Timeline |
HUNTINGTON Lagged Returns
When evaluating HUNTINGTON's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of HUNTINGTON bond have on its future price. HUNTINGTON 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, HUNTINGTON autocorrelation shows the relationship between HUNTINGTON bond current value and its past values and can show if there is a momentum factor associated with investing in HUNTINGTON BANCSHARES INC.
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 HUNTINGTON Bond
HUNTINGTON financial ratios help investors to determine whether HUNTINGTON Bond 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 HUNTINGTON with respect to the benefits of owning HUNTINGTON security.