Graniteshares Platinum Trust Etf Market Value
| PLTM Etf | USD 8.99 0.01 0.11% |
| Symbol | GraniteShares |
The market value of GraniteShares Platinum is measured differently than its book value, which is the value of GraniteShares that is recorded on the company's balance sheet. Investors also form their own opinion of GraniteShares Platinum's value that differs from its market value or its book value, called intrinsic value, which is GraniteShares Platinum'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 GraniteShares Platinum's market value can be influenced by many factors that don't directly affect GraniteShares Platinum'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 GraniteShares Platinum's value and its price as these two are different measures arrived at by different means. Investors typically determine if GraniteShares Platinum is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, GraniteShares Platinum'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.
GraniteShares Platinum '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 GraniteShares Platinum'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 GraniteShares Platinum.
| 01/09/2023 |
| 11/29/2024 |
If you would invest 0.00 in GraniteShares Platinum on January 9, 2023 and sell it all today you would earn a total of 0.00 from holding GraniteShares Platinum Trust or generate 0.0% return on investment in GraniteShares Platinum over 690 days. GraniteShares Platinum is related to or competes with Abrdn Physical, Abrdn Physical, Sprott Physical, and GraniteShares Gold. The Shares are intended to constitute a simple and cost-effective means of making an investment similar to an investment... More
GraniteShares Platinum 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 GraniteShares Platinum'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 GraniteShares Platinum Trust upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 6.27 | |||
| Value At Risk | (2.44) | |||
| Potential Upside | 2.36 |
GraniteShares Platinum Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GraniteShares Platinum's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GraniteShares Platinum's standard deviation. In reality, there are many statistical measures that can use GraniteShares Platinum historical prices to predict the future GraniteShares Platinum's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.29) | |||
| Treynor Ratio | (0.16) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of GraniteShares Platinum'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.
GraniteShares Platinum Backtested Returns
As of now, GraniteShares Etf is not too volatile. GraniteShares Platinum holds Efficiency (Sharpe) Ratio of 0.0312, which attests that the entity had a 0.0312% return per unit of standard deviation over the last 3 months. We have found twenty-three technical indicators for GraniteShares Platinum, which you can use to evaluate the volatility of the entity. Please check out GraniteShares Platinum's risk adjusted performance of (0.02), and Market Risk Adjusted Performance of (0.15) to validate if the risk estimate we provide is consistent with the expected return of 0.0468%. The etf retains a Market Volatility (i.e., Beta) of 0.34, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, GraniteShares Platinum's returns are expected to increase less than the market. However, during the bear market, the loss of holding GraniteShares Platinum is expected to be smaller as well.
Auto-correlation | -0.17 |
Insignificant reverse predictability
GraniteShares Platinum Trust has insignificant reverse predictability. Overlapping area represents the amount of predictability between GraniteShares Platinum time series from 9th of January 2023 to 20th of December 2023 and 20th of December 2023 to 29th 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 GraniteShares Platinum price movement. The serial correlation of -0.17 indicates that over 17.0% of current GraniteShares Platinum price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.17 | |
| Spearman Rank Test | -0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 0.18 |
GraniteShares Platinum lagged returns against current returns
Autocorrelation, which is GraniteShares Platinum 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 GraniteShares Platinum's etf expected returns. We can calculate the autocorrelation of GraniteShares Platinum returns to help us make a trade decision. For example, suppose you find that GraniteShares Platinum 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 |
GraniteShares Platinum 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 GraniteShares Platinum etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GraniteShares Platinum etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GraniteShares Platinum etf over time.
Current vs Lagged Prices |
| Timeline |
GraniteShares Platinum Lagged Returns
When evaluating GraniteShares Platinum's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GraniteShares Platinum etf have on its future price. GraniteShares Platinum 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, GraniteShares Platinum autocorrelation shows the relationship between GraniteShares Platinum etf current value and its past values and can show if there is a momentum factor associated with investing in GraniteShares Platinum Trust.
Regressed Prices |
| Timeline |
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GraniteShares Platinum 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.