Simplify Exchange Traded Etf Market Value
| IOPP Etf | 28.79 0.37 1.30% |
| Symbol | Simplify |
The market value of Simplify Exchange Traded is measured differently than its book value, which is the value of Simplify that is recorded on the company's balance sheet. Investors also form their own opinion of Simplify Exchange's value that differs from its market value or its book value, called intrinsic value, which is Simplify Exchange'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 Simplify Exchange's market value can be influenced by many factors that don't directly affect Simplify Exchange'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 Simplify Exchange's value and its price as these two are different measures arrived at by different means. Investors typically determine if Simplify Exchange is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Simplify Exchange'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.
Simplify Exchange '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 Simplify Exchange'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 Simplify Exchange.
| 10/24/2024 |
| 11/23/2024 |
If you would invest 0.00 in Simplify Exchange on October 24, 2024 and sell it all today you would earn a total of 0.00 from holding Simplify Exchange Traded or generate 0.0% return on investment in Simplify Exchange over 30 days. Simplify Exchange is related to or competes with IShares MSCI, Invesco India, and Columbia India. Simplify Exchange is entity of United States More
Simplify Exchange 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 Simplify Exchange'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 Simplify Exchange Traded upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.21) | |||
| Maximum Drawdown | 5.25 | |||
| Value At Risk | (1.34) | |||
| Potential Upside | 1.3 |
Simplify Exchange Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Simplify Exchange's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Simplify Exchange's standard deviation. In reality, there are many statistical measures that can use Simplify Exchange historical prices to predict the future Simplify Exchange's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | (0.13) |
Simplify Exchange Traded Backtested Returns
Simplify Exchange Traded owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.081, which indicates the etf had a -0.081% return per unit of risk over the last 3 months. Simplify Exchange Traded exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Simplify Exchange's Risk Adjusted Performance of (0.04), coefficient of variation of (1,737), and Variance of 0.7555 to confirm the risk estimate we provide. The entity has a beta of 0.45, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Simplify Exchange's returns are expected to increase less than the market. However, during the bear market, the loss of holding Simplify Exchange is expected to be smaller as well.
Auto-correlation | -0.31 |
Poor reverse predictability
Simplify Exchange Traded has poor reverse predictability. Overlapping area represents the amount of predictability between Simplify Exchange time series from 24th of October 2024 to 8th of November 2024 and 8th of November 2024 to 23rd 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 Simplify Exchange Traded price movement. The serial correlation of -0.31 indicates that nearly 31.0% of current Simplify Exchange price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.31 | |
| Spearman Rank Test | 0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
Simplify Exchange Traded lagged returns against current returns
Autocorrelation, which is Simplify Exchange 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 Simplify Exchange's etf expected returns. We can calculate the autocorrelation of Simplify Exchange returns to help us make a trade decision. For example, suppose you find that Simplify Exchange 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 |
Simplify Exchange 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 Simplify Exchange etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Simplify Exchange etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Simplify Exchange etf over time.
Current vs Lagged Prices |
| Timeline |
Simplify Exchange Lagged Returns
When evaluating Simplify Exchange's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Simplify Exchange etf have on its future price. Simplify Exchange 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, Simplify Exchange autocorrelation shows the relationship between Simplify Exchange etf current value and its past values and can show if there is a momentum factor associated with investing in Simplify Exchange Traded.
Regressed Prices |
| Timeline |
Pair Trading with Simplify Exchange
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 Simplify Exchange 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 Simplify Exchange will appreciate offsetting losses from the drop in the long position's value.Moving together with Simplify Etf
| 0.97 | INDA | iShares MSCI India | PairCorr |
| 0.94 | EPI | WisdomTree India Earnings | PairCorr |
| 0.95 | INDSX | Financial Investors Trust | PairCorr |
| 0.95 | SMIN | iShares MSCI India | PairCorr |
| 0.96 | PIN | Invesco India ETF | PairCorr |
Moving against Simplify Etf
| 0.78 | BTC | Grayscale Bitcoin Mini | PairCorr |
| 0.72 | IXSE | IXSE | PairCorr |
| 0.61 | SHLD | Global X Funds | PairCorr |
| 0.53 | WINN | Harbor Long Term | PairCorr |
The ability to find closely correlated positions to Simplify Exchange could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Simplify Exchange 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 Simplify Exchange - 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 Simplify Exchange Traded to buy it.
The correlation of Simplify Exchange 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 Simplify Exchange moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Simplify Exchange Traded 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 Simplify Exchange 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 Simplify Exchange Correlation, Simplify Exchange Volatility and Simplify Exchange Alpha and Beta module to complement your research on Simplify Exchange. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
Simplify Exchange 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.