HL Multi (UK) Market Value
0P0001RI3W | 120.84 0.51 0.42% |
Symbol | 0P0001RI3W |
HL Multi '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 HL Multi'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 HL Multi.
12/08/2024 |
| 01/07/2025 |
If you would invest 0.00 in HL Multi on December 8, 2024 and sell it all today you would earn a total of 0.00 from holding HL Multi Index Moderately or generate 0.0% return on investment in HL Multi over 30 days.
HL Multi 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 HL Multi'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 HL Multi Index Moderately upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.4401 | |||
Information Ratio | 0.0481 | |||
Maximum Drawdown | 3.19 | |||
Value At Risk | (0.82) | |||
Potential Upside | 0.7663 |
HL Multi Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for HL Multi's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as HL Multi's standard deviation. In reality, there are many statistical measures that can use HL Multi historical prices to predict the future HL Multi's volatility.Risk Adjusted Performance | 0.0791 | |||
Jensen Alpha | 0.0412 | |||
Total Risk Alpha | 0.0306 | |||
Sortino Ratio | 0.053 | |||
Treynor Ratio | 3.11 |
HL Multi Index Backtested Returns
Currently, HL Multi Index Moderately is very steady. HL Multi Index retains Efficiency (Sharpe Ratio) of 0.1, which attests that the entity had a 0.1% return per unit of price deviation over the last 3 months. We have found twenty-seven technical indicators for HL Multi, which you can use to evaluate the volatility of the entity. Please check out HL Multi's Standard Deviation of 0.4845, market risk adjusted performance of 3.12, and Semi Deviation of 0.3389 to validate if the risk estimate we provide is consistent with the expected return of 0.0478%. The fund owns a Beta (Systematic Risk) of 0.0133, which attests to not very significant fluctuations relative to the market. As returns on the market increase, HL Multi's returns are expected to increase less than the market. However, during the bear market, the loss of holding HL Multi is expected to be smaller as well.
Auto-correlation | -0.4 |
Poor reverse predictability
HL Multi Index Moderately has poor reverse predictability. Overlapping area represents the amount of predictability between HL Multi time series from 8th of December 2024 to 23rd of December 2024 and 23rd of December 2024 to 7th of January 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of HL Multi Index price movement. The serial correlation of -0.4 indicates that just about 40.0% of current HL Multi price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.4 | |
Spearman Rank Test | -0.05 | |
Residual Average | 0.0 | |
Price Variance | 0.15 |
HL Multi Index lagged returns against current returns
Autocorrelation, which is HL Multi 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 HL Multi's fund expected returns. We can calculate the autocorrelation of HL Multi returns to help us make a trade decision. For example, suppose you find that HL Multi 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 |
HL Multi 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 HL Multi fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if HL Multi fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in HL Multi fund over time.
Current vs Lagged Prices |
Timeline |
HL Multi Lagged Returns
When evaluating HL Multi's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of HL Multi fund have on its future price. HL Multi 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, HL Multi autocorrelation shows the relationship between HL Multi fund current value and its past values and can show if there is a momentum factor associated with investing in HL Multi Index Moderately.
Regressed Prices |
Timeline |
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