ARK Genomic (UK) Market Value
| ARCG Etf | 353.55 2.78 0.78% |
| Symbol | ARK |
ARK Genomic '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 Genomic'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 ARK Genomic.
| 04/24/2025 |
| 07/23/2025 |
If you would invest 0.00 in ARK Genomic on April 24, 2025 and sell it all today you would earn a total of 0.00 from holding ARK Genomic Revolution or generate 0.0% return on investment in ARK Genomic over 90 days. ARK Genomic is related to or competes with Leverage Shares, GraniteShares, Leverage Shares, Leverage Shares, Leverage Shares, Leverage Shares, and GraniteShares. ARK Genomic is entity of United Kingdom. It is traded as Etf on LSE exchange. More
ARK Genomic 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 Genomic'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 ARK Genomic Revolution upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.17 | |||
| Information Ratio | 0.0571 | |||
| Maximum Drawdown | 12.08 | |||
| Value At Risk | (3.18) | |||
| Potential Upside | 3.78 |
ARK Genomic Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ARK Genomic's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ARK Genomic's standard deviation. In reality, there are many statistical measures that can use ARK Genomic historical prices to predict the future ARK Genomic's volatility.| Risk Adjusted Performance | 0.1254 | |||
| Jensen Alpha | 0.2729 | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | 0.0624 | |||
| Treynor Ratio | 1.65 |
ARK Genomic Revolution Backtested Returns
ARK Genomic appears to be very steady, given 3 months investment horizon. ARK Genomic Revolution secures Sharpe Ratio (or Efficiency) of 0.1, which signifies that the etf had a 0.1 % return per unit of return volatility over the last 3 months. We have found thirty technical indicators for ARK Genomic Revolution, which you can use to evaluate the volatility of the entity. Please makes use of ARK Genomic's Risk Adjusted Performance of 0.1254, semi deviation of 2.06, and Mean Deviation of 1.9 to double-check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of 0.18, which signifies not very significant fluctuations relative to the market. As returns on the market increase, ARK Genomic's returns are expected to increase less than the market. However, during the bear market, the loss of holding ARK Genomic is expected to be smaller as well.
Auto-correlation | -0.01 |
Very weak reverse predictability
ARK Genomic Revolution has very weak reverse predictability. Overlapping area represents the amount of predictability between ARK Genomic time series from 24th of April 2025 to 8th of June 2025 and 8th of June 2025 to 23rd 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 ARK Genomic Revolution price movement. The serial correlation of -0.01 indicates that just 1.0% of current ARK Genomic price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.01 | |
| Spearman Rank Test | -0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 111.66 |
ARK Genomic Revolution lagged returns against current returns
Autocorrelation, which is ARK Genomic 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 Genomic's etf expected returns. We can calculate the autocorrelation of ARK Genomic returns to help us make a trade decision. For example, suppose you find that ARK Genomic 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 Genomic 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 Genomic etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ARK Genomic etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ARK Genomic etf over time.
Current vs Lagged Prices |
| Timeline |
ARK Genomic Lagged Returns
When evaluating ARK Genomic's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ARK Genomic etf have on its future price. ARK Genomic 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 Genomic autocorrelation shows the relationship between ARK Genomic etf current value and its past values and can show if there is a momentum factor associated with investing in ARK Genomic Revolution.
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 ARK Genomic Revolution is a strong investment it is important to analyze ARK Genomic'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 ARK Genomic's future performance. For an informed investment choice regarding ARK Etf, refer to the following important reports:Check out ARK Genomic Correlation, ARK Genomic Volatility and ARK Genomic Alpha and Beta module to complement your research on ARK Genomic. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
ARK Genomic 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.