Pacer Cash Cows Etf Market Value
HERD Etf | USD 40.42 0.29 0.72% |
Symbol | Pacer |
The market value of Pacer Cash Cows is measured differently than its book value, which is the value of Pacer that is recorded on the company's balance sheet. Investors also form their own opinion of Pacer Cash's value that differs from its market value or its book value, called intrinsic value, which is Pacer Cash's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Pacer Cash's market value can be influenced by many factors that don't directly affect Pacer Cash's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Pacer Cash's value and its price as these two are different measures arrived at by different means. Investors typically determine if Pacer Cash is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Pacer Cash's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Pacer Cash '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 Pacer Cash's etf 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 Pacer Cash.
11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in Pacer Cash on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding Pacer Cash Cows or generate 0.0% return on investment in Pacer Cash over 30 days. Pacer Cash is related to or competes with Horizon Kinetics, Simplify Exchange, IMGP DBi, Quadratic Interest, and KFA Mount. The index is based on a proprietary methodology developed and maintained by Index Design Group, an affiliate of Pacer Ad... More
Pacer Cash 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 Pacer Cash's etf 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 Pacer Cash Cows upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.8328 | |||
Information Ratio | (0.08) | |||
Maximum Drawdown | 3.31 | |||
Value At Risk | (1.17) | |||
Potential Upside | 1.32 |
Pacer Cash Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pacer Cash's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pacer Cash's standard deviation. In reality, there are many statistical measures that can use Pacer Cash historical prices to predict the future Pacer Cash's volatility.Risk Adjusted Performance | 0.056 | |||
Jensen Alpha | (0.04) | |||
Total Risk Alpha | (0.09) | |||
Sortino Ratio | (0.09) | |||
Treynor Ratio | 0.0717 |
Pacer Cash Cows Backtested Returns
At this point, Pacer Cash is very steady. Pacer Cash Cows maintains Sharpe Ratio (i.e., Efficiency) of 0.0928, which implies the entity had a 0.0928% return per unit of risk over the last 3 months. We have found thirty technical indicators for Pacer Cash Cows, which you can use to evaluate the volatility of the etf. Please check Pacer Cash's Semi Deviation of 0.7794, coefficient of variation of 1397.15, and Risk Adjusted Performance of 0.056 to confirm if the risk estimate we provide is consistent with the expected return of 0.0788%. The etf holds a Beta of 0.74, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Pacer Cash's returns are expected to increase less than the market. However, during the bear market, the loss of holding Pacer Cash is expected to be smaller as well.
Auto-correlation | 0.60 |
Good predictability
Pacer Cash Cows has good predictability. Overlapping area represents the amount of predictability between Pacer Cash time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st 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 Pacer Cash Cows price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current Pacer Cash price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.6 | |
Spearman Rank Test | 0.64 | |
Residual Average | 0.0 | |
Price Variance | 0.24 |
Pacer Cash Cows lagged returns against current returns
Autocorrelation, which is Pacer Cash etf'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 Pacer Cash's etf expected returns. We can calculate the autocorrelation of Pacer Cash returns to help us make a trade decision. For example, suppose you find that Pacer Cash has exhibited high autocorrelation historically, and you observe that the etf 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 |
Pacer Cash 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 Pacer Cash etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pacer Cash etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pacer Cash etf over time.
Current vs Lagged Prices |
Timeline |
Pacer Cash Lagged Returns
When evaluating Pacer Cash's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pacer Cash etf have on its future price. Pacer Cash 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, Pacer Cash autocorrelation shows the relationship between Pacer Cash etf current value and its past values and can show if there is a momentum factor associated with investing in Pacer Cash Cows.
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.When determining whether Pacer Cash Cows is a strong investment it is important to analyze Pacer Cash's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Pacer Cash's future performance. For an informed investment choice regarding Pacer Etf, refer to the following important reports:Check out Pacer Cash Correlation, Pacer Cash Volatility and Pacer Cash Alpha and Beta module to complement your research on Pacer Cash. You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.
Pacer Cash technical etf 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, etf market cycles, or different charting patterns.