Jpmorgan Realty Income Etf Market Value
| JPRE Etf | USD 48.60 0.28 0.58% |
| Symbol | JPMorgan |
The market value of JPMorgan Realty Income is measured differently than its book value, which is the value of JPMorgan that is recorded on the company's balance sheet. Investors also form their own opinion of JPMorgan Realty's value that differs from its market value or its book value, called intrinsic value, which is JPMorgan Realty'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 JPMorgan Realty's market value can be influenced by many factors that don't directly affect JPMorgan Realty'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 JPMorgan Realty's value and its price as these two are different measures arrived at by different means. Investors typically determine if JPMorgan Realty is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, JPMorgan Realty'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.
JPMorgan Realty '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 JPMorgan Realty'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 JPMorgan Realty.
| 01/27/2025 |
| 02/26/2025 |
If you would invest 0.00 in JPMorgan Realty on January 27, 2025 and sell it all today you would earn a total of 0.00 from holding JPMorgan Realty Income or generate 0.0% return on investment in JPMorgan Realty over 30 days. JPMorgan Realty is related to or competes with JPMorgan Market, JP Morgan, JPMorgan Inflation, JPMorgan BetaBuilders, and Nuveen Short. The fund seeks to achieve its objective by investing substantially all of its assets, and in any event under normal circ... More
JPMorgan Realty 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 JPMorgan Realty'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 JPMorgan Realty Income upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 4.96 | |||
| Value At Risk | (1.65) | |||
| Potential Upside | 1.35 |
JPMorgan Realty Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for JPMorgan Realty's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as JPMorgan Realty's standard deviation. In reality, there are many statistical measures that can use JPMorgan Realty historical prices to predict the future JPMorgan Realty's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.02) | |||
| Treynor Ratio | 0.1286 |
JPMorgan Realty Income Backtested Returns
JPMorgan Realty Income holds Efficiency (Sharpe) Ratio of -0.0747, which attests that the entity had a -0.0747 % return per unit of volatility over the last 3 months. JPMorgan Realty Income exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out JPMorgan Realty's risk adjusted performance of (0), and Market Risk Adjusted Performance of 0.1386 to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of -0.12, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning JPMorgan Realty are expected to decrease at a much lower rate. During the bear market, JPMorgan Realty is likely to outperform the market.
Auto-correlation | -0.06 |
Very weak reverse predictability
JPMorgan Realty Income has very weak reverse predictability. Overlapping area represents the amount of predictability between JPMorgan Realty time series from 27th of January 2025 to 11th of February 2025 and 11th of February 2025 to 26th of February 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of JPMorgan Realty Income price movement. The serial correlation of -0.06 indicates that barely 6.0% of current JPMorgan Realty price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.06 | |
| Spearman Rank Test | 0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
JPMorgan Realty Income lagged returns against current returns
Autocorrelation, which is JPMorgan Realty 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 JPMorgan Realty's etf expected returns. We can calculate the autocorrelation of JPMorgan Realty returns to help us make a trade decision. For example, suppose you find that JPMorgan Realty 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 |
JPMorgan Realty 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 JPMorgan Realty etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if JPMorgan Realty etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in JPMorgan Realty etf over time.
Current vs Lagged Prices |
| Timeline |
JPMorgan Realty Lagged Returns
When evaluating JPMorgan Realty's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of JPMorgan Realty etf have on its future price. JPMorgan Realty 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, JPMorgan Realty autocorrelation shows the relationship between JPMorgan Realty etf current value and its past values and can show if there is a momentum factor associated with investing in JPMorgan Realty Income.
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 JPMorgan Realty Income is a strong investment it is important to analyze JPMorgan Realty'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 JPMorgan Realty's future performance. For an informed investment choice regarding JPMorgan Etf, refer to the following important reports:Check out JPMorgan Realty Correlation, JPMorgan Realty Volatility and JPMorgan Realty Alpha and Beta module to complement your research on JPMorgan Realty. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
JPMorgan Realty 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.