Quadratic Deflation Etf Market Value
| BNDD Etf | USD 13.98 0.05 0.36% |
| Symbol | Quadratic |
The market value of Quadratic Deflation ETF is measured differently than its book value, which is the value of Quadratic that is recorded on the company's balance sheet. Investors also form their own opinion of Quadratic Deflation's value that differs from its market value or its book value, called intrinsic value, which is Quadratic Deflation'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 Quadratic Deflation's market value can be influenced by many factors that don't directly affect Quadratic Deflation'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 Quadratic Deflation's value and its price as these two are different measures arrived at by different means. Investors typically determine if Quadratic Deflation is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Quadratic Deflation'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.
Quadratic Deflation '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 Quadratic Deflation'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 Quadratic Deflation.
| 12/29/2022 |
| 12/18/2024 |
If you would invest 0.00 in Quadratic Deflation on December 29, 2022 and sell it all today you would earn a total of 0.00 from holding Quadratic Deflation ETF or generate 0.0% return on investment in Quadratic Deflation over 720 days. Quadratic Deflation is related to or competes with Vanguard Long, Vanguard Long, Vanguard Long, and Vanguard Intermediate. It invests in Treasuries of various maturities directly or through other ETFs that invest in Treasuries More
Quadratic Deflation 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 Quadratic Deflation'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 Quadratic Deflation ETF upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 4.23 | |||
| Value At Risk | (1.27) | |||
| Potential Upside | 1.43 |
Quadratic Deflation Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quadratic Deflation's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quadratic Deflation's standard deviation. In reality, there are many statistical measures that can use Quadratic Deflation historical prices to predict the future Quadratic Deflation's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.16) | |||
| Treynor Ratio | 0.5301 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Quadratic Deflation'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.
Quadratic Deflation ETF Backtested Returns
Quadratic Deflation ETF maintains Sharpe Ratio (i.e., Efficiency) of -0.061, which implies the entity had a -0.061% return per unit of risk over the last 3 months. Quadratic Deflation ETF exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Quadratic Deflation's Coefficient Of Variation of (1,063), risk adjusted performance of (0.07), and Variance of 0.7519 to confirm the risk estimate we provide. The etf holds a Beta of -0.17, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Quadratic Deflation are expected to decrease at a much lower rate. During the bear market, Quadratic Deflation is likely to outperform the market.
Auto-correlation | 0.46 |
Average predictability
Quadratic Deflation ETF has average predictability. Overlapping area represents the amount of predictability between Quadratic Deflation time series from 29th of December 2022 to 24th of December 2023 and 24th of December 2023 to 18th 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 Quadratic Deflation ETF price movement. The serial correlation of 0.46 indicates that about 46.0% of current Quadratic Deflation price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.46 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Quadratic Deflation ETF lagged returns against current returns
Autocorrelation, which is Quadratic Deflation 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 Quadratic Deflation's etf expected returns. We can calculate the autocorrelation of Quadratic Deflation returns to help us make a trade decision. For example, suppose you find that Quadratic Deflation 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 |
Quadratic Deflation 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 Quadratic Deflation etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Quadratic Deflation etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Quadratic Deflation etf over time.
Current vs Lagged Prices |
| Timeline |
Quadratic Deflation Lagged Returns
When evaluating Quadratic Deflation's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Quadratic Deflation etf have on its future price. Quadratic Deflation 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, Quadratic Deflation autocorrelation shows the relationship between Quadratic Deflation etf current value and its past values and can show if there is a momentum factor associated with investing in Quadratic Deflation ETF.
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 Quadratic Deflation ETF is a strong investment it is important to analyze Quadratic Deflation's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Quadratic Deflation's future performance. For an informed investment choice regarding Quadratic Etf, refer to the following important reports:Check out Quadratic Deflation Correlation, Quadratic Deflation Volatility and Quadratic Deflation Alpha and Beta module to complement your research on Quadratic Deflation. You can also try the Equity Analysis module to research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities.
Quadratic Deflation 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.