USA08163AA41 Market Value
| A08163AA4 | 95.40 1.90 1.95% |
| Symbol | A08163AA4 |
A08163AA4 '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 A08163AA4'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 A08163AA4.
| 02/23/2024 |
| 04/23/2024 |
If you would invest 0.00 in A08163AA4 on February 23, 2024 and sell it all today you would earn a total of 0.00 from holding USA08163AA41 or generate 0.0% return on investment in A08163AA4 over 60 days. A08163AA4 is related to or competes with Olympic Steel, FARO Technologies, Kaiser Aluminum, Gerdau SA, Gfl Environmental, and Uber Technologies. More
A08163AA4 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 A08163AA4'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 USA08163AA41 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 7.6 | |||
| Value At Risk | (2.69) | |||
| Potential Upside | 2.92 |
A08163AA4 Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for A08163AA4's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as A08163AA4's standard deviation. In reality, there are many statistical measures that can use A08163AA4 historical prices to predict the future A08163AA4's volatility.| Risk Adjusted Performance | 0.0032 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.25) | |||
| Treynor Ratio | (0.37) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of A08163AA4'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.
USA08163AA41 Backtested Returns
USA08163AA41 retains Efficiency (Sharpe Ratio) of -0.0054, which signifies that the bond had a -0.0054% return per unit of risk over the last 3 months. A08163AA4 exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm A08163AA4's Coefficient Of Variation of (18,602), standard deviation of 1.78, and Risk Adjusted Performance of 0.0032 to double-check the risk estimate we provide. The bond owns a Beta (Systematic Risk) of 0.0536, which signifies not very significant fluctuations relative to the market. As returns on the market increase, A08163AA4's returns are expected to increase less than the market. However, during the bear market, the loss of holding A08163AA4 is expected to be smaller as well.
Auto-correlation | -0.23 |
Weak reverse predictability
USA08163AA41 has weak reverse predictability. Overlapping area represents the amount of predictability between A08163AA4 time series from 23rd of February 2024 to 24th of March 2024 and 24th of March 2024 to 23rd 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 USA08163AA41 price movement. The serial correlation of -0.23 indicates that over 23.0% of current A08163AA4 price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | -0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 6.89 |
USA08163AA41 lagged returns against current returns
Autocorrelation, which is A08163AA4 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 A08163AA4's bond expected returns. We can calculate the autocorrelation of A08163AA4 returns to help us make a trade decision. For example, suppose you find that A08163AA4 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 |
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A08163AA4 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 A08163AA4 bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if A08163AA4 bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in A08163AA4 bond over time.
Current vs Lagged Prices |
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A08163AA4 Lagged Returns
When evaluating A08163AA4's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of A08163AA4 bond have on its future price. A08163AA4 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, A08163AA4 autocorrelation shows the relationship between A08163AA4 bond current value and its past values and can show if there is a momentum factor associated with investing in USA08163AA41.
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 A08163AA4 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, A08163AA4's short interest history, or implied volatility extrapolated from A08163AA4 options trading.
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.Check out A08163AA4 Correlation, A08163AA4 Volatility and A08163AA4 Alpha and Beta module to complement your research on A08163AA4. Note that the USA08163AA41 information on this page should be used as a complementary analysis to other A08163AA4's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
A08163AA4 technical bond 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, bond market cycles, or different charting patterns.