ARCTIC HIGH (Norway) Market Value
| IE00B3VBZH49 | 2,027 4.05 0.20% |
| Symbol | ARCTIC |
ARCTIC HIGH '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 ARCTIC HIGH's fund 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 ARCTIC HIGH.
| 01/06/2023 |
| 11/26/2024 |
If you would invest 0.00 in ARCTIC HIGH on January 6, 2023 and sell it all today you would earn a total of 0.00 from holding ARCTIC HIGH RETURN or generate 0.0% return on investment in ARCTIC HIGH over 690 days.
ARCTIC HIGH 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 ARCTIC HIGH's fund 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 ARCTIC HIGH RETURN upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1411 | |||
| Information Ratio | (0.72) | |||
| Maximum Drawdown | 0.5739 | |||
| Value At Risk | (0.17) | |||
| Potential Upside | 0.2426 |
ARCTIC HIGH Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ARCTIC HIGH's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ARCTIC HIGH's standard deviation. In reality, there are many statistical measures that can use ARCTIC HIGH historical prices to predict the future ARCTIC HIGH's volatility.| Risk Adjusted Performance | 0.1486 | |||
| Jensen Alpha | 0.0235 | |||
| Total Risk Alpha | 0.0035 | |||
| Sortino Ratio | (0.67) | |||
| Treynor Ratio | 6.47 |
ARCTIC HIGH RETURN Backtested Returns
At this stage we consider ARCTIC Fund to be very steady. ARCTIC HIGH RETURN retains Efficiency (Sharpe Ratio) of 0.2, which signifies that the fund had a 0.2% return per unit of risk over the last 3 months. We have found twenty-six technical indicators for ARCTIC HIGH, which you can use to evaluate the volatility of the entity. Please confirm ARCTIC HIGH's standard deviation of 0.1319, and Market Risk Adjusted Performance of 6.48 to double-check if the risk estimate we provide is consistent with the expected return of 0.0254%. The fund owns a Beta (Systematic Risk) of 0.0037, which signifies not very significant fluctuations relative to the market. As returns on the market increase, ARCTIC HIGH's returns are expected to increase less than the market. However, during the bear market, the loss of holding ARCTIC HIGH is expected to be smaller as well.
Auto-correlation | 0.99 |
Perfect predictability
ARCTIC HIGH RETURN has perfect predictability. Overlapping area represents the amount of predictability between ARCTIC HIGH time series from 6th of January 2023 to 17th of December 2023 and 17th of December 2023 to 26th of November 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 ARCTIC HIGH RETURN price movement. The serial correlation of 0.99 indicates that 99.0% of current ARCTIC HIGH price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.99 | |
| Spearman Rank Test | 0.99 | |
| Residual Average | 0.0 | |
| Price Variance | 2192.69 |
ARCTIC HIGH RETURN lagged returns against current returns
Autocorrelation, which is ARCTIC HIGH fund'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 ARCTIC HIGH's fund expected returns. We can calculate the autocorrelation of ARCTIC HIGH returns to help us make a trade decision. For example, suppose you find that ARCTIC HIGH has exhibited high autocorrelation historically, and you observe that the fund 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 |
ARCTIC HIGH 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 ARCTIC HIGH fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ARCTIC HIGH fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ARCTIC HIGH fund over time.
Current vs Lagged Prices |
| Timeline |
ARCTIC HIGH Lagged Returns
When evaluating ARCTIC HIGH's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ARCTIC HIGH fund have on its future price. ARCTIC HIGH 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, ARCTIC HIGH autocorrelation shows the relationship between ARCTIC HIGH fund current value and its past values and can show if there is a momentum factor associated with investing in ARCTIC HIGH RETURN.
Regressed Prices |
| Timeline |
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