ZF North America Market Value
| 98877DAC9 | 99.37 0.07 0.07% |
| Symbol | 98877DAC9 |
98877DAC9 '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 98877DAC9'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 98877DAC9.
| 11/04/2024 |
| 12/04/2024 |
If you would invest 0.00 in 98877DAC9 on November 4, 2024 and sell it all today you would earn a total of 0.00 from holding ZF North America or generate 0.0% return on investment in 98877DAC9 over 30 days. 98877DAC9 is related to or competes with Franklin Street, CECO Environmental, Tandy Leather, Bassett Furniture, Ross Stores, Kontoor Brands, and Hooker Furniture. More
98877DAC9 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 98877DAC9'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 ZF North America upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.84 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 12.55 | |||
| Value At Risk | (1.59) | |||
| Potential Upside | 1.08 |
98877DAC9 Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for 98877DAC9's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as 98877DAC9's standard deviation. In reality, there are many statistical measures that can use 98877DAC9 historical prices to predict the future 98877DAC9's volatility.| Risk Adjusted Performance | 0.0117 | |||
| Jensen Alpha | 0.0174 | |||
| Total Risk Alpha | (0.23) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | (0.03) |
ZF North America Backtested Returns
ZF North America retains Efficiency (Sharpe Ratio) of -0.0373, which signifies that the bond had a -0.0373% return per unit of price deviation over the last 3 months. 98877DAC9 exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm 98877DAC9's Semi Deviation of 1.65, coefficient of variation of 12639.86, and Risk Adjusted Performance of 0.0117 to double-check the risk estimate we provide. The bond owns a Beta (Systematic Risk) of -0.13, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning 98877DAC9 are expected to decrease at a much lower rate. During the bear market, 98877DAC9 is likely to outperform the market.
Auto-correlation | 0.07 |
Virtually no predictability
ZF North America has virtually no predictability. Overlapping area represents the amount of predictability between 98877DAC9 time series from 4th of November 2024 to 19th of November 2024 and 19th of November 2024 to 4th 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 ZF North America price movement. The serial correlation of 0.07 indicates that barely 7.0% of current 98877DAC9 price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.07 | |
| Spearman Rank Test | 0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 2.14 |
ZF North America lagged returns against current returns
Autocorrelation, which is 98877DAC9 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 98877DAC9's bond expected returns. We can calculate the autocorrelation of 98877DAC9 returns to help us make a trade decision. For example, suppose you find that 98877DAC9 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 |
98877DAC9 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 98877DAC9 bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if 98877DAC9 bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in 98877DAC9 bond over time.
Current vs Lagged Prices |
| Timeline |
98877DAC9 Lagged Returns
When evaluating 98877DAC9's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of 98877DAC9 bond have on its future price. 98877DAC9 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, 98877DAC9 autocorrelation shows the relationship between 98877DAC9 bond current value and its past values and can show if there is a momentum factor associated with investing in ZF North America.
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 98877DAC9 Bond
98877DAC9 financial ratios help investors to determine whether 98877DAC9 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 98877DAC9 with respect to the benefits of owning 98877DAC9 security.