Spac And New Etf Market Value
| SPCX Etf | USD 25.32 0.15 0.60% |
| Symbol | SPAC |
The market value of SPAC and New is measured differently than its book value, which is the value of SPAC that is recorded on the company's balance sheet. Investors also form their own opinion of SPAC's value that differs from its market value or its book value, called intrinsic value, which is SPAC'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 SPAC's market value can be influenced by many factors that don't directly affect SPAC'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 SPAC's value and its price as these two are different measures arrived at by different means. Investors typically determine if SPAC is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPAC'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.
SPAC '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 SPAC'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 SPAC.
| 04/23/2025 |
| 07/22/2025 |
If you would invest 0.00 in SPAC on April 23, 2025 and sell it all today you would earn a total of 0.00 from holding SPAC and New or generate 0.0% return on investment in SPAC over 90 days. SPAC is related to or competes with Xtrackers Emerging, Formidable ETF, PIMCO RAFI, Fidelity MSCI, KraneShares CSI, First Trust, and SPDR SP. Under normal circumstances, at least 80 percent of the funds net assets, plus borrowings for investment purposes, will b... More
SPAC 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 SPAC'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 SPAC and New upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.18 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 5.41 | |||
| Value At Risk | (1.30) | |||
| Potential Upside | 1.54 |
SPAC Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPAC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPAC's standard deviation. In reality, there are many statistical measures that can use SPAC historical prices to predict the future SPAC's volatility.| Risk Adjusted Performance | 0.0856 | |||
| Jensen Alpha | 0.1028 | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | (0.71) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SPAC'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.
SPAC and New Backtested Returns
At this stage we consider SPAC Etf to be very steady. SPAC and New retains Efficiency (Sharpe Ratio) of 0.0971, which indicates the etf had a 0.0971 % return per unit of risk over the last 3 months. We have found thirty technical indicators for SPAC, which you can use to evaluate the volatility of the etf. Please validate SPAC's risk adjusted performance of 0.0856, and Downside Deviation of 1.18 to confirm if the risk estimate we provide is consistent with the expected return of 0.1%. The entity owns a Beta (Systematic Risk) of -0.12, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SPAC are expected to decrease at a much lower rate. During the bear market, SPAC is likely to outperform the market.
Auto-correlation | -0.23 |
Weak reverse predictability
SPAC and New has weak reverse predictability. Overlapping area represents the amount of predictability between SPAC time series from 23rd of April 2025 to 7th of June 2025 and 7th of June 2025 to 22nd of July 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 SPAC and New price movement. The serial correlation of -0.23 indicates that over 23.0% of current SPAC price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | -0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 0.16 |
SPAC and New lagged returns against current returns
Autocorrelation, which is SPAC 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 SPAC's etf expected returns. We can calculate the autocorrelation of SPAC returns to help us make a trade decision. For example, suppose you find that SPAC 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 |
SPAC 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 SPAC etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SPAC etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SPAC etf over time.
Current vs Lagged Prices |
| Timeline |
SPAC Lagged Returns
When evaluating SPAC's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SPAC etf have on its future price. SPAC 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, SPAC autocorrelation shows the relationship between SPAC etf current value and its past values and can show if there is a momentum factor associated with investing in SPAC and New.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether SPAC and New offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SPAC's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Spac And New Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Spac And New Etf:Check out SPAC Correlation, SPAC Volatility and SPAC Alpha and Beta module to complement your research on SPAC. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
SPAC 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.