REC Silicon (Norway) Market Value
| RECSI Stock | NOK 4.80 0.30 6.67% |
| Symbol | REC |
REC Silicon '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 REC Silicon'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 REC Silicon.
| 12/17/2023 |
| 12/11/2024 |
If you would invest 0.00 in REC Silicon on December 17, 2023 and sell it all today you would earn a total of 0.00 from holding REC Silicon ASA or generate 0.0% return on investment in REC Silicon over 360 days. REC Silicon is related to or competes with Aker Carbon, Nordic Semiconductor, Kongsberg Gruppen, Napatech, Elkem ASA, Scatec Solar, and Solstad Offsho. REC Silicon ASA, together with its subsidiaries, produces and sells silicon materials for the solar and electronics indu... More
REC Silicon 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 REC Silicon'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 REC Silicon ASA upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 60.92 | |||
| Value At Risk | (12.46) | |||
| Potential Upside | 7.36 |
REC Silicon Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for REC Silicon's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as REC Silicon's standard deviation. In reality, there are many statistical measures that can use REC Silicon historical prices to predict the future REC Silicon's volatility.| Risk Adjusted Performance | 0.0048 | |||
| Jensen Alpha | 0.3057 | |||
| Total Risk Alpha | (1.41) | |||
| Treynor Ratio | 0.0192 |
REC Silicon ASA Backtested Returns
REC Silicon ASA retains Efficiency (Sharpe Ratio) of -0.0028, which implies the firm had a -0.0028% return per unit of risk over the last 3 months. REC Silicon exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check REC Silicon's market risk adjusted performance of 0.0292, and Coefficient Of Variation of (16,509) to confirm the risk estimate we provide. The company owns a Beta (Systematic Risk) of -3.21, which implies a somewhat significant risk relative to the market. As returns on the market increase, returns on owning REC Silicon are expected to decrease by larger amounts. On the other hand, during market turmoil, REC Silicon is expected to outperform it. At this point, REC Silicon ASA has a negative expected return of -0.0237%. Please make sure to check REC Silicon's total risk alpha, as well as the relationship between the kurtosis and day typical price , to decide if REC Silicon ASA performance from the past will be repeated in the future.
Auto-correlation | 0.38 |
Below average predictability
REC Silicon ASA has below average predictability. Overlapping area represents the amount of predictability between REC Silicon time series from 17th of December 2023 to 14th of June 2024 and 14th of June 2024 to 11th of December 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 REC Silicon ASA price movement. The serial correlation of 0.38 indicates that just about 38.0% of current REC Silicon price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.38 | |
| Spearman Rank Test | 0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 2.34 |
REC Silicon ASA lagged returns against current returns
Autocorrelation, which is REC Silicon 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 REC Silicon's stock expected returns. We can calculate the autocorrelation of REC Silicon returns to help us make a trade decision. For example, suppose you find that REC Silicon 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 |
REC Silicon 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 REC Silicon stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if REC Silicon stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in REC Silicon stock over time.
Current vs Lagged Prices |
| Timeline |
REC Silicon Lagged Returns
When evaluating REC Silicon's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of REC Silicon stock have on its future price. REC Silicon 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, REC Silicon autocorrelation shows the relationship between REC Silicon stock current value and its past values and can show if there is a momentum factor associated with investing in REC Silicon ASA.
Regressed Prices |
| Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectOther Information on Investing in REC Stock
REC Silicon financial ratios help investors to determine whether REC 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 REC with respect to the benefits of owning REC Silicon security.