Oslo Exchange (Norway) Market Value
| OSEFX Index | 1,316 8.51 0.65% |
| Symbol | Oslo |
Oslo Exchange '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 Oslo Exchange's index 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 Oslo Exchange.
| 02/27/2024 |
| 04/27/2024 |
If you would invest 0.00 in Oslo Exchange on February 27, 2024 and sell it all today you would earn a total of 0.00 from holding Oslo Exchange Mutual or generate 0.0% return on investment in Oslo Exchange over 60 days.
Oslo Exchange 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 Oslo Exchange's index 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 Oslo Exchange Mutual upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.617 | |||
| Information Ratio | 0.0262 | |||
| Maximum Drawdown | 2.83 | |||
| Value At Risk | (0.87) | |||
| Potential Upside | 0.936 |
Oslo Exchange Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Oslo Exchange's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Oslo Exchange's standard deviation. In reality, there are many statistical measures that can use Oslo Exchange historical prices to predict the future Oslo Exchange's volatility.| Risk Adjusted Performance | 0.116 | |||
| Total Risk Alpha | 0.0237 | |||
| Sortino Ratio | 0.0234 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Oslo Exchange's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Oslo Exchange. Your research has to be compared to or analyzed against Oslo Exchange's peers to derive any actionable benefits. When done correctly, Oslo Exchange's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Oslo Exchange Mutual.
Oslo Exchange Mutual Backtested Returns
Oslo Exchange Mutual maintains Sharpe Ratio (i.e., Efficiency) of 0.19, which implies the entity had a 0.19% return per unit of risk over the last 3 months. We have found twenty-five technical indicators for Oslo Exchange Mutual, which you can use to evaluate the volatility of the index. The index holds a Beta of 0.0, which implies not very significant fluctuations relative to the market. the returns on MARKET and Oslo Exchange are completely uncorrelated.
Auto-correlation | 0.10 |
Insignificant predictability
Oslo Exchange Mutual has insignificant predictability. Overlapping area represents the amount of predictability between Oslo Exchange time series from 27th of February 2024 to 28th of March 2024 and 28th of March 2024 to 27th of April 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 Oslo Exchange Mutual price movement. The serial correlation of 0.1 indicates that less than 10.0% of current Oslo Exchange price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.1 | |
| Spearman Rank Test | 0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 75.17 |
Oslo Exchange Mutual lagged returns against current returns
Autocorrelation, which is Oslo Exchange index'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 Oslo Exchange's index expected returns. We can calculate the autocorrelation of Oslo Exchange returns to help us make a trade decision. For example, suppose you find that Oslo Exchange has exhibited high autocorrelation historically, and you observe that the index 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 |
Oslo Exchange 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 Oslo Exchange index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Oslo Exchange index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Oslo Exchange index over time.
Current vs Lagged Prices |
| Timeline |
Oslo Exchange Lagged Returns
When evaluating Oslo Exchange's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Oslo Exchange index have on its future price. Oslo Exchange 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, Oslo Exchange autocorrelation shows the relationship between Oslo Exchange index current value and its past values and can show if there is a momentum factor associated with investing in Oslo Exchange Mutual.
Regressed Prices |
| Timeline |
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Oslo Exchange technical index 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, index market cycles, or different charting patterns.