Precious Metals And Stock Market Value
| MMP-UN Stock | CAD 1.80 0.01 0.55% |
| Symbol | Precious |
Precious Metals And Price To Book Ratio
Precious Metals '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 Precious Metals' stock 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 Precious Metals.
| 09/03/2024 |
| 12/02/2024 |
If you would invest 0.00 in Precious Metals on September 3, 2024 and sell it all today you would earn a total of 0.00 from holding Precious Metals And or generate 0.0% return on investment in Precious Metals over 90 days. Precious Metals is related to or competes with Leons Furniture, CVW CleanTech, Salesforce, Brookfield Office, and Advent Wireless. Precious Metals and Mining Trust is a closed ended equity fund launched and managed by Sentry Investments Inc More
Precious Metals 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 Precious Metals' stock 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 Precious Metals And upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.36 | |||
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 10.32 | |||
| Value At Risk | (3.16) | |||
| Potential Upside | 3.41 |
Precious Metals Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Precious Metals' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Precious Metals' standard deviation. In reality, there are many statistical measures that can use Precious Metals historical prices to predict the future Precious Metals' volatility.| Risk Adjusted Performance | 0.0072 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.34) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | (0.06) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Precious Metals' 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.
Precious Metals And Backtested Returns
At this point, Precious Metals is risky. Precious Metals And maintains Sharpe Ratio (i.e., Efficiency) of 0.0055, which implies the firm had a 0.0055% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Precious Metals And, which you can use to evaluate the volatility of the company. Please check Precious Metals' Risk Adjusted Performance of 0.0072, coefficient of variation of 76138.55, and Semi Deviation of 1.75 to confirm if the risk estimate we provide is consistent with the expected return of 0.011%. The company holds a Beta of 0.13, which implies not very significant fluctuations relative to the market. As returns on the market increase, Precious Metals' returns are expected to increase less than the market. However, during the bear market, the loss of holding Precious Metals is expected to be smaller as well. Precious Metals And right now holds a risk of 2.0%. Please check Precious Metals And jensen alpha, semi variance, day typical price, as well as the relationship between the maximum drawdown and accumulation distribution , to decide if Precious Metals And will be following its historical price patterns.
Auto-correlation | -0.14 |
Insignificant reverse predictability
Precious Metals And has insignificant reverse predictability. Overlapping area represents the amount of predictability between Precious Metals time series from 3rd of September 2024 to 18th of October 2024 and 18th of October 2024 to 2nd 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 Precious Metals And price movement. The serial correlation of -0.14 indicates that less than 14.0% of current Precious Metals price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.14 | |
| Spearman Rank Test | -0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Precious Metals And lagged returns against current returns
Autocorrelation, which is Precious Metals stock'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 Precious Metals' stock expected returns. We can calculate the autocorrelation of Precious Metals returns to help us make a trade decision. For example, suppose you find that Precious Metals has exhibited high autocorrelation historically, and you observe that the stock 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 |
Precious Metals 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 Precious Metals stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Precious Metals stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Precious Metals stock over time.
Current vs Lagged Prices |
| Timeline |
Precious Metals Lagged Returns
When evaluating Precious Metals' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Precious Metals stock have on its future price. Precious Metals 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, Precious Metals autocorrelation shows the relationship between Precious Metals stock current value and its past values and can show if there is a momentum factor associated with investing in Precious Metals And.
Regressed Prices |
| Timeline |
Pair Trading with Precious Metals
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Precious Metals position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Precious Metals will appreciate offsetting losses from the drop in the long position's value.Moving against Precious Stock
The ability to find closely correlated positions to Precious Metals could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Precious Metals when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Precious Metals - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Precious Metals And to buy it.
The correlation of Precious Metals is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Precious Metals moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Precious Metals And moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Precious Metals can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Precious Stock
Precious Metals financial ratios help investors to determine whether Precious Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Precious with respect to the benefits of owning Precious Metals security.