Proshares Sp Kensho Etf Market Value
| MAKX Etf | USD 42.16 0.69 1.66% |
| Symbol | ProShares |
The market value of ProShares SP Kensho is measured differently than its book value, which is the value of ProShares that is recorded on the company's balance sheet. Investors also form their own opinion of ProShares' value that differs from its market value or its book value, called intrinsic value, which is ProShares' 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 ProShares' market value can be influenced by many factors that don't directly affect ProShares' 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 ProShares' value and its price as these two are different measures arrived at by different means. Investors typically determine if ProShares is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ProShares' 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.
ProShares '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 ProShares' 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 ProShares.
| 10/25/2024 |
| 11/24/2024 |
If you would invest 0.00 in ProShares on October 25, 2024 and sell it all today you would earn a total of 0.00 from holding ProShares SP Kensho or generate 0.0% return on investment in ProShares over 30 days. ProShares is related to or competes with ProShares Big, ProShares, ProShares Smart, ProShares, and ProShares MSCI. The fund invests in financial instruments that ProShare Advisors believes, in combination, should track the performance ... More
ProShares 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 ProShares' 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 ProShares SP Kensho upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.41 | |||
| Information Ratio | 0.0814 | |||
| Maximum Drawdown | 6.88 | |||
| Value At Risk | (2.09) | |||
| Potential Upside | 2.22 |
ProShares Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ProShares' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ProShares' standard deviation. In reality, there are many statistical measures that can use ProShares historical prices to predict the future ProShares' volatility.| Risk Adjusted Performance | 0.1353 | |||
| Jensen Alpha | 0.0535 | |||
| Total Risk Alpha | 0.0087 | |||
| Sortino Ratio | 0.0853 | |||
| Treynor Ratio | 0.1553 |
ProShares SP Kensho Backtested Returns
ProShares appears to be very steady, given 3 months investment horizon. ProShares SP Kensho maintains Sharpe Ratio (i.e., Efficiency) of 0.16, which implies the entity had a 0.16% return per unit of risk over the last 3 months. We have found thirty technical indicators for ProShares SP Kensho, which you can use to evaluate the volatility of the etf. Please evaluate ProShares' Risk Adjusted Performance of 0.1353, coefficient of variation of 587.59, and Semi Deviation of 1.16 to confirm if our risk estimates are consistent with your expectations. The etf holds a Beta of 1.55, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, ProShares will likely underperform.
Auto-correlation | 0.47 |
Average predictability
ProShares SP Kensho has average predictability. Overlapping area represents the amount of predictability between ProShares time series from 25th of October 2024 to 9th of November 2024 and 9th of November 2024 to 24th of November 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 ProShares SP Kensho price movement. The serial correlation of 0.47 indicates that about 47.0% of current ProShares price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.47 | |
| Spearman Rank Test | 0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 0.53 |
ProShares SP Kensho lagged returns against current returns
Autocorrelation, which is ProShares 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 ProShares' etf expected returns. We can calculate the autocorrelation of ProShares returns to help us make a trade decision. For example, suppose you find that ProShares 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 |
ProShares 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 ProShares etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ProShares etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ProShares etf over time.
Current vs Lagged Prices |
| Timeline |
ProShares Lagged Returns
When evaluating ProShares' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ProShares etf have on its future price. ProShares 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, ProShares autocorrelation shows the relationship between ProShares etf current value and its past values and can show if there is a momentum factor associated with investing in ProShares SP Kensho.
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 ProShares SP Kensho offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of ProShares' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Proshares Sp Kensho Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Proshares Sp Kensho Etf:Check out ProShares Correlation, ProShares Volatility and ProShares Alpha and Beta module to complement your research on ProShares. You can also try the Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
ProShares 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.