Ark Autonomous Technology Etf Market Value
| ARKQ Etf | USD 68.45 2.69 4.09% |
| Symbol | ARK |
The market value of ARK Autonomous Technology is measured differently than its book value, which is the value of ARK that is recorded on the company's balance sheet. Investors also form their own opinion of ARK Autonomous' value that differs from its market value or its book value, called intrinsic value, which is ARK Autonomous' 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 ARK Autonomous' market value can be influenced by many factors that don't directly affect ARK Autonomous' 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 ARK Autonomous' value and its price as these two are different measures arrived at by different means. Investors typically determine if ARK Autonomous is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ARK Autonomous' 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.
ARK Autonomous '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 ARK Autonomous' 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 ARK Autonomous.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in ARK Autonomous on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding ARK Autonomous Technology or generate 0.0% return on investment in ARK Autonomous over 90 days. ARK Autonomous is related to or competes with ARK Fintech, ARK Next, ARK Genomic, ARK Innovation, and ARK Space. The fund is an actively-managed exchange-traded fund that will invest under normal circumstances primarily in domestic a... More
ARK Autonomous 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 ARK Autonomous' 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 ARK Autonomous Technology upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 11.12 | |||
| Value At Risk | (4.01) | |||
| Potential Upside | 3.32 |
ARK Autonomous Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ARK Autonomous' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ARK Autonomous' standard deviation. In reality, there are many statistical measures that can use ARK Autonomous historical prices to predict the future ARK Autonomous' volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.03) | |||
| Total Risk Alpha | 0.1756 | |||
| Treynor Ratio | (0.17) |
ARK Autonomous Technology Backtested Returns
ARK Autonomous Technology secures Sharpe Ratio (or Efficiency) of -0.11, which signifies that the etf had a -0.11 % return per unit of return volatility over the last 3 months. ARK Autonomous Technology exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm ARK Autonomous' Mean Deviation of 1.8, coefficient of variation of (1,151), and Risk Adjusted Performance of (0.07) to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 1.26, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, ARK Autonomous will likely underperform.
Auto-correlation | -0.42 |
Modest reverse predictability
ARK Autonomous Technology has modest reverse predictability. Overlapping area represents the amount of predictability between ARK Autonomous time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th 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 ARK Autonomous Technology price movement. The serial correlation of -0.42 indicates that just about 42.0% of current ARK Autonomous price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.42 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 30.17 |
ARK Autonomous Technology lagged returns against current returns
Autocorrelation, which is ARK Autonomous 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 ARK Autonomous' etf expected returns. We can calculate the autocorrelation of ARK Autonomous returns to help us make a trade decision. For example, suppose you find that ARK Autonomous 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 |
ARK Autonomous 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 ARK Autonomous etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ARK Autonomous etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ARK Autonomous etf over time.
Current vs Lagged Prices |
| Timeline |
ARK Autonomous Lagged Returns
When evaluating ARK Autonomous' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ARK Autonomous etf have on its future price. ARK Autonomous 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, ARK Autonomous autocorrelation shows the relationship between ARK Autonomous etf current value and its past values and can show if there is a momentum factor associated with investing in ARK Autonomous Technology.
Regressed Prices |
| Timeline |
Pair Trading with ARK Autonomous
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 ARK Autonomous 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 ARK Autonomous will appreciate offsetting losses from the drop in the long position's value.Moving together with ARK Etf
| 0.87 | VGT | Vanguard Information | PairCorr |
| 0.85 | XLK | Technology Select Sector | PairCorr |
| 0.87 | IYW | iShares Technology ETF | PairCorr |
| 0.89 | SMH | VanEck Semiconductor ETF | PairCorr |
| 0.88 | SOXX | iShares Semiconductor ETF | PairCorr |
Moving against ARK Etf
| 0.67 | BND | Vanguard Total Bond Sell-off Trend | PairCorr |
| 0.61 | IDOG | ALPS International Sector | PairCorr |
| 0.5 | INTF | iShares Edge MSCI | PairCorr |
| 0.41 | VEA | Vanguard FTSE Developed | PairCorr |
| 0.38 | GLD | SPDR Gold Shares | PairCorr |
The ability to find closely correlated positions to ARK Autonomous could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace ARK Autonomous 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 ARK Autonomous - 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 ARK Autonomous Technology to buy it.
The correlation of ARK Autonomous 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 ARK Autonomous moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if ARK Autonomous Technology 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 ARK Autonomous 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 ARK Autonomous Correlation, ARK Autonomous Volatility and ARK Autonomous Alpha and Beta module to complement your research on ARK Autonomous. You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
ARK Autonomous 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.