Huddlestock Fintech (Norway) Market Value
| HUDL Stock | NOK 0.49 0.01 2.00% |
| Symbol | Huddlestock |
Huddlestock Fintech '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 Huddlestock Fintech'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 Huddlestock Fintech.
| 08/02/2023 |
| 11/24/2024 |
If you would invest 0.00 in Huddlestock Fintech on August 2, 2023 and sell it all today you would earn a total of 0.00 from holding Huddlestock Fintech As or generate 0.0% return on investment in Huddlestock Fintech over 480 days. Huddlestock Fintech is related to or competes with Elliptic Laboratories, Pexip Holding, Elkem ASA, Vow ASA, North Energy, Arcticzymes Technologies, and Eqva ASA. Huddlestock Fintech As, a financial technology company, provides end-to-end asset management solutions More
Huddlestock Fintech 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 Huddlestock Fintech'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 Huddlestock Fintech As upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 25.85 | |||
| Value At Risk | (10.77) | |||
| Potential Upside | 9.52 |
Huddlestock Fintech Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Huddlestock Fintech's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Huddlestock Fintech's standard deviation. In reality, there are many statistical measures that can use Huddlestock Fintech historical prices to predict the future Huddlestock Fintech's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (1.15) | |||
| Treynor Ratio | 0.6205 |
Huddlestock Fintech Backtested Returns
Huddlestock Fintech holds Efficiency (Sharpe) Ratio of -0.0547, which attests that the entity had a -0.0547% return per unit of risk over the last 3 months. Huddlestock Fintech exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Huddlestock Fintech's Risk Adjusted Performance of (0.02), standard deviation of 5.98, and Market Risk Adjusted Performance of 0.6305 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of -0.34, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Huddlestock Fintech are expected to decrease at a much lower rate. During the bear market, Huddlestock Fintech is likely to outperform the market. At this point, Huddlestock Fintech has a negative expected return of -0.32%. Please make sure to check out Huddlestock Fintech's coefficient of variation, jensen alpha, treynor ratio, as well as the relationship between the standard deviation and total risk alpha , to decide if Huddlestock Fintech performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.90 |
Excellent predictability
Huddlestock Fintech As has excellent predictability. Overlapping area represents the amount of predictability between Huddlestock Fintech time series from 2nd of August 2023 to 29th of March 2024 and 29th of March 2024 to 24th 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 Huddlestock Fintech price movement. The serial correlation of 0.9 indicates that approximately 90.0% of current Huddlestock Fintech price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.9 | |
| Spearman Rank Test | 0.85 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Huddlestock Fintech lagged returns against current returns
Autocorrelation, which is Huddlestock Fintech 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 Huddlestock Fintech's stock expected returns. We can calculate the autocorrelation of Huddlestock Fintech returns to help us make a trade decision. For example, suppose you find that Huddlestock Fintech 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 |
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Huddlestock Fintech 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 Huddlestock Fintech stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Huddlestock Fintech stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Huddlestock Fintech stock over time.
Current vs Lagged Prices |
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Huddlestock Fintech Lagged Returns
When evaluating Huddlestock Fintech's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Huddlestock Fintech stock have on its future price. Huddlestock Fintech 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, Huddlestock Fintech autocorrelation shows the relationship between Huddlestock Fintech stock current value and its past values and can show if there is a momentum factor associated with investing in Huddlestock Fintech As.
Regressed Prices |
| Timeline |
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Huddlestock Fintech financial ratios help investors to determine whether Huddlestock 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 Huddlestock with respect to the benefits of owning Huddlestock Fintech security.