KLP AksjeNorge (Ireland) Market Value
| 0P0000HNUP | 3,837 1.15 0.03% |
| Symbol | KLP |
KLP AksjeNorge '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 KLP AksjeNorge'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 KLP AksjeNorge.
| 11/16/2024 |
| 12/16/2024 |
If you would invest 0.00 in KLP AksjeNorge on November 16, 2024 and sell it all today you would earn a total of 0.00 from holding KLP AksjeNorge Indeks or generate 0.0% return on investment in KLP AksjeNorge over 30 days.
KLP AksjeNorge 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 KLP AksjeNorge'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 KLP AksjeNorge Indeks upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7403 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 3.29 | |||
| Value At Risk | (1.22) | |||
| Potential Upside | 1.02 |
KLP AksjeNorge Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for KLP AksjeNorge's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as KLP AksjeNorge's standard deviation. In reality, there are many statistical measures that can use KLP AksjeNorge historical prices to predict the future KLP AksjeNorge's volatility.| Risk Adjusted Performance | 0.0773 | |||
| Jensen Alpha | 0.0627 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | (17.33) |
KLP AksjeNorge Indeks Backtested Returns
KLP AksjeNorge is very steady at the moment. KLP AksjeNorge Indeks has Sharpe Ratio of 0.0723, which conveys that the entity had a 0.0723% return per unit of volatility over the last 3 months. We have found twenty-seven technical indicators for KLP AksjeNorge, which you can use to evaluate the volatility of the fund. Please verify KLP AksjeNorge's risk adjusted performance of 0.0773, and Mean Deviation of 0.5246 to check out if the risk estimate we provide is consistent with the expected return of 0.0481%. The fund secures a Beta (Market Risk) of -0.0036, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning KLP AksjeNorge are expected to decrease at a much lower rate. During the bear market, KLP AksjeNorge is likely to outperform the market.
Auto-correlation | -0.17 |
Insignificant reverse predictability
KLP AksjeNorge Indeks has insignificant reverse predictability. Overlapping area represents the amount of predictability between KLP AksjeNorge time series from 16th of November 2024 to 1st of December 2024 and 1st of December 2024 to 16th 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 KLP AksjeNorge Indeks price movement. The serial correlation of -0.17 indicates that over 17.0% of current KLP AksjeNorge price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.17 | |
| Spearman Rank Test | -0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 792.75 |
KLP AksjeNorge Indeks lagged returns against current returns
Autocorrelation, which is KLP AksjeNorge 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 KLP AksjeNorge's fund expected returns. We can calculate the autocorrelation of KLP AksjeNorge returns to help us make a trade decision. For example, suppose you find that KLP AksjeNorge 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 |
KLP AksjeNorge 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 KLP AksjeNorge fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if KLP AksjeNorge fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in KLP AksjeNorge fund over time.
Current vs Lagged Prices |
| Timeline |
KLP AksjeNorge Lagged Returns
When evaluating KLP AksjeNorge's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of KLP AksjeNorge fund have on its future price. KLP AksjeNorge 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, KLP AksjeNorge autocorrelation shows the relationship between KLP AksjeNorge fund current value and its past values and can show if there is a momentum factor associated with investing in KLP AksjeNorge Indeks.
Regressed Prices |
| Timeline |
Pair Trading with KLP AksjeNorge
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if KLP AksjeNorge position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in KLP AksjeNorge will appreciate offsetting losses from the drop in the long position's value.Moving together with KLP Fund
| 0.73 | IE00B065CV35 | Franklin Floating Rate | PairCorr |
| 0.73 | IE0032578035 | Franklin Floating Rate | PairCorr |
| 0.73 | IE00B000C709 | Franklin Floating Rate | PairCorr |
The ability to find closely correlated positions to KLP AksjeNorge could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace KLP AksjeNorge when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back KLP AksjeNorge - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling KLP AksjeNorge Indeks to buy it.
The correlation of KLP AksjeNorge is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as KLP AksjeNorge moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if KLP AksjeNorge Indeks moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for KLP AksjeNorge can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.| Investing Opportunities Build portfolios using our predefined set of ideas and optimize them against your investing preferences | |
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