Renaissance Ipo Etf Market Value
| IPO Etf | USD 38.93 1.38 3.68% |
| Symbol | Renaissance |
The market value of Renaissance IPO ETF is measured differently than its book value, which is the value of Renaissance that is recorded on the company's balance sheet. Investors also form their own opinion of Renaissance IPO's value that differs from its market value or its book value, called intrinsic value, which is Renaissance IPO'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 Renaissance IPO's market value can be influenced by many factors that don't directly affect Renaissance IPO'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 Renaissance IPO's value and its price as these two are different measures arrived at by different means. Investors typically determine if Renaissance IPO is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Renaissance IPO'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.
Renaissance IPO '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 Renaissance IPO'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 Renaissance IPO.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Renaissance IPO on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Renaissance IPO ETF or generate 0.0% return on investment in Renaissance IPO over 90 days. Renaissance IPO is related to or competes with Global X, Amplify Online, WisdomTree Cloud, First Trust, and ProShares Online. The fund seeks to replicate as closely as possible, before fees and expenses, the price and yield performance of the ind... More
Renaissance IPO 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 Renaissance IPO'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 Renaissance IPO ETF upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 8.44 | |||
| Value At Risk | (3.82) | |||
| Potential Upside | 2.35 |
Renaissance IPO Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Renaissance IPO's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Renaissance IPO's standard deviation. In reality, there are many statistical measures that can use Renaissance IPO historical prices to predict the future Renaissance IPO's volatility.| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (0.16) | |||
| Total Risk Alpha | (0.02) | |||
| Treynor Ratio | (0.26) |
Renaissance IPO ETF Backtested Returns
Renaissance IPO ETF maintains Sharpe Ratio (i.e., Efficiency) of -0.13, which implies the entity had a -0.13 % return per unit of risk over the last 3 months. Renaissance IPO ETF exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Renaissance IPO's Coefficient Of Variation of (773.45), risk adjusted performance of (0.11), and Variance of 4.1 to confirm the risk estimate we provide. The etf holds a Beta of 1.05, which implies a somewhat significant risk relative to the market. Renaissance IPO returns are very sensitive to returns on the market. As the market goes up or down, Renaissance IPO is expected to follow.
Auto-correlation | -0.35 |
Poor reverse predictability
Renaissance IPO ETF has poor reverse predictability. Overlapping area represents the amount of predictability between Renaissance IPO time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Renaissance IPO ETF price movement. The serial correlation of -0.35 indicates that nearly 35.0% of current Renaissance IPO price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.35 | |
| Spearman Rank Test | -0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 12.21 |
Renaissance IPO ETF lagged returns against current returns
Autocorrelation, which is Renaissance IPO 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 Renaissance IPO's etf expected returns. We can calculate the autocorrelation of Renaissance IPO returns to help us make a trade decision. For example, suppose you find that Renaissance IPO 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 |
Renaissance IPO 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 Renaissance IPO etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Renaissance IPO etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Renaissance IPO etf over time.
Current vs Lagged Prices |
| Timeline |
Renaissance IPO Lagged Returns
When evaluating Renaissance IPO's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Renaissance IPO etf have on its future price. Renaissance IPO 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, Renaissance IPO autocorrelation shows the relationship between Renaissance IPO etf current value and its past values and can show if there is a momentum factor associated with investing in Renaissance IPO ETF.
Regressed Prices |
| Timeline |
Pair Trading with Renaissance IPO
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 Renaissance IPO 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 Renaissance IPO will appreciate offsetting losses from the drop in the long position's value.Moving together with Renaissance Etf
| 0.92 | VOT | Vanguard Mid Cap | PairCorr |
| 0.95 | IWP | iShares Russell Mid | PairCorr |
| 0.95 | ARKK | ARK Innovation ETF | PairCorr |
| 0.94 | IJK | iShares SP Mid | PairCorr |
| 0.87 | JKH | iShares Morningstar Mid | PairCorr |
Moving against Renaissance Etf
| 0.7 | AMPD | Tidal Trust II | PairCorr |
| 0.6 | IDOG | ALPS International Sector | PairCorr |
| 0.59 | JCHI | JP Morgan Exchange | PairCorr |
| 0.58 | PMBS | PIMCO Mortgage Backed | PairCorr |
| 0.55 | FXY | Invesco CurrencyShares | PairCorr |
The ability to find closely correlated positions to Renaissance IPO could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Renaissance IPO 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 Renaissance IPO - 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 Renaissance IPO ETF to buy it.
The correlation of Renaissance IPO 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 Renaissance IPO moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Renaissance IPO ETF 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 Renaissance IPO 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 Renaissance IPO Correlation, Renaissance IPO Volatility and Renaissance IPO Alpha and Beta module to complement your research on Renaissance IPO. You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
Renaissance IPO 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.