Swp Growth Income Etf Market Value
| SWP Etf | USD 26.05 0.35 1.36% |
| Symbol | SWP |
The market value of SWP Growth Income is measured differently than its book value, which is the value of SWP that is recorded on the company's balance sheet. Investors also form their own opinion of SWP Growth's value that differs from its market value or its book value, called intrinsic value, which is SWP Growth'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 SWP Growth's market value can be influenced by many factors that don't directly affect SWP Growth'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 SWP Growth's value and its price as these two are different measures arrived at by different means. Investors typically determine if SWP Growth is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SWP Growth'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.
SWP Growth '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 SWP Growth'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 SWP Growth.
| 05/26/2024 |
| 11/22/2024 |
If you would invest 0.00 in SWP Growth on May 26, 2024 and sell it all today you would earn a total of 0.00 from holding SWP Growth Income or generate 0.0% return on investment in SWP Growth over 180 days. SWP Growth is related to or competes with Franklin Templeton, Tidal Trust, IShares Dividend, Altrius Global, Invesco Exchange, Franklin International, and Madison ETFs. Stanley Black Decker, Inc. provides tools and storage, engineered fastening and infrastructure, and security solutions w... More
SWP Growth 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 SWP Growth'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 SWP Growth Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.5536 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 3.4 | |||
| Value At Risk | (0.77) | |||
| Potential Upside | 0.8665 |
SWP Growth Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SWP Growth's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SWP Growth's standard deviation. In reality, there are many statistical measures that can use SWP Growth historical prices to predict the future SWP Growth's volatility.| Risk Adjusted Performance | 0.0811 | |||
| Jensen Alpha | 0.0161 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.1151 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SWP Growth'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.
SWP Growth Income Backtested Returns
Currently, SWP Growth Income is very steady. SWP Growth Income owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.15, which indicates the etf had a 0.15% return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for SWP Growth Income, which you can use to evaluate the volatility of the etf. Please validate SWP Growth's risk adjusted performance of 0.0811, and Coefficient Of Variation of 913.15 to confirm if the risk estimate we provide is consistent with the expected return of 0.1%. The entity has a beta of 0.54, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SWP Growth's returns are expected to increase less than the market. However, during the bear market, the loss of holding SWP Growth is expected to be smaller as well.
Auto-correlation | 0.00 |
No correlation between past and present
SWP Growth Income has no correlation between past and present. Overlapping area represents the amount of predictability between SWP Growth time series from 26th of May 2024 to 24th of August 2024 and 24th of August 2024 to 22nd 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 SWP Growth Income price movement. The serial correlation of 0.0 indicates that just 0.0% of current SWP Growth price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SWP Growth Income lagged returns against current returns
Autocorrelation, which is SWP Growth 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 SWP Growth's etf expected returns. We can calculate the autocorrelation of SWP Growth returns to help us make a trade decision. For example, suppose you find that SWP Growth 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 |
SWP Growth 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 SWP Growth etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SWP Growth etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SWP Growth etf over time.
Current vs Lagged Prices |
| Timeline |
SWP Growth Lagged Returns
When evaluating SWP Growth's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SWP Growth etf have on its future price. SWP Growth 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, SWP Growth autocorrelation shows the relationship between SWP Growth etf current value and its past values and can show if there is a momentum factor associated with investing in SWP Growth Income.
Regressed Prices |
| Timeline |
Pair Trading with SWP Growth
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 SWP Growth 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 SWP Growth will appreciate offsetting losses from the drop in the long position's value.Moving against SWP Etf
| 0.34 | VTIP | Vanguard Short Term Sell-off Trend | PairCorr |
The ability to find closely correlated positions to SWP Growth could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SWP Growth 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 SWP Growth - 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 SWP Growth Income to buy it.
The correlation of SWP Growth 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 SWP Growth moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SWP Growth Income 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 SWP Growth 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.Check out SWP Growth Correlation, SWP Growth Volatility and SWP Growth Alpha and Beta module to complement your research on SWP Growth. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
SWP Growth 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.