Ice Fish (Norway) Market Value
| IFISH Stock | NOK 27.80 1.00 3.47% |
| Symbol | Ice |
Ice Fish '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 Ice Fish's stock 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 Ice Fish.
| 09/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in Ice Fish on September 28, 2024 and sell it all today you would earn a total of 0.00 from holding Ice Fish Farm or generate 0.0% return on investment in Ice Fish over 60 days. Ice Fish is related to or competes with Masoval AS, Arctic Fish, Elkem ASA, Integrated Wind, Vow ASA, and North Energy. The company was incorporated in 2020 and is headquartered in Seltjarnarnes, Iceland More
Ice Fish 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 Ice Fish's stock 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 Ice Fish Farm upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.75 | |||
| Information Ratio | (0.0004) | |||
| Maximum Drawdown | 29.87 | |||
| Value At Risk | (7.52) | |||
| Potential Upside | 11.94 |
Ice Fish Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ice Fish's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ice Fish's standard deviation. In reality, there are many statistical measures that can use Ice Fish historical prices to predict the future Ice Fish's volatility.| Risk Adjusted Performance | 0.0268 | |||
| Jensen Alpha | 0.2027 | |||
| Total Risk Alpha | (0.73) | |||
| Sortino Ratio | (0.0005) | |||
| Treynor Ratio | (0.17) |
Ice Fish Farm Backtested Returns
Ice Fish appears to be not too volatile, given 3 months investment horizon. Ice Fish Farm holds Efficiency (Sharpe) Ratio of 0.0404, which attests that the entity had a 0.0404% return per unit of risk over the last 3 months. We have found thirty technical indicators for Ice Fish Farm, which you can use to evaluate the volatility of the firm. Please utilize Ice Fish's Risk Adjusted Performance of 0.0268, downside deviation of 4.75, and Market Risk Adjusted Performance of (0.16) to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Ice Fish holds a performance score of 3. The company retains a Market Volatility (i.e., Beta) of -0.7, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Ice Fish are expected to decrease at a much lower rate. During the bear market, Ice Fish is likely to outperform the market. Please check Ice Fish's downside variance, day median price, and the relationship between the treynor ratio and kurtosis , to make a quick decision on whether Ice Fish's current trending patterns will revert.
Auto-correlation | 0.15 |
Insignificant predictability
Ice Fish Farm has insignificant predictability. Overlapping area represents the amount of predictability between Ice Fish time series from 28th of September 2024 to 28th of October 2024 and 28th of October 2024 to 27th 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 Ice Fish Farm price movement. The serial correlation of 0.15 indicates that less than 15.0% of current Ice Fish price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.15 | |
| Spearman Rank Test | 0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 0.64 |
Ice Fish Farm lagged returns against current returns
Autocorrelation, which is Ice Fish stock'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 Ice Fish's stock expected returns. We can calculate the autocorrelation of Ice Fish returns to help us make a trade decision. For example, suppose you find that Ice Fish has exhibited high autocorrelation historically, and you observe that the stock 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 |
Ice Fish 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 Ice Fish stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ice Fish stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ice Fish stock over time.
Current vs Lagged Prices |
| Timeline |
Ice Fish Lagged Returns
When evaluating Ice Fish's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ice Fish stock have on its future price. Ice Fish 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, Ice Fish autocorrelation shows the relationship between Ice Fish stock current value and its past values and can show if there is a momentum factor associated with investing in Ice Fish Farm.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectOther Information on Investing in Ice Stock
Ice Fish financial ratios help investors to determine whether Ice Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Ice with respect to the benefits of owning Ice Fish security.