LO Funds (Switzerland) Market Value
| 0P00001R8Q | 203.64 0.39 0.19% |
| Symbol | 0P00001R8Q |
LO Funds '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 LO Funds' 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 LO Funds.
| 01/05/2023 |
| 12/25/2024 |
If you would invest 0.00 in LO Funds on January 5, 2023 and sell it all today you would earn a total of 0.00 from holding LO Funds Swiss or generate 0.0% return on investment in LO Funds over 720 days.
LO Funds 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 LO Funds' 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 LO Funds Swiss upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 3.24 | |||
| Value At Risk | (1.32) | |||
| Potential Upside | 0.8577 |
LO Funds Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for LO Funds' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as LO Funds' standard deviation. In reality, there are many statistical measures that can use LO Funds historical prices to predict the future LO Funds' volatility.| Risk Adjusted Performance | (0.1) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.12) | |||
| Treynor Ratio | 0.9935 |
LO Funds Swiss Backtested Returns
LO Funds Swiss retains Efficiency (Sharpe Ratio) of -0.18, which conveys that the entity had a -0.18% return per unit of price deviation over the last 3 months. LO Funds exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify LO Funds' Information Ratio of (0.19), market risk adjusted performance of 1.0, and Mean Deviation of 0.5132 to check out the risk estimate we provide. The fund owns a Beta (Systematic Risk) of -0.0906, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning LO Funds are expected to decrease at a much lower rate. During the bear market, LO Funds is likely to outperform the market.
Auto-correlation | -0.21 |
Weak reverse predictability
LO Funds Swiss has weak reverse predictability. Overlapping area represents the amount of predictability between LO Funds time series from 5th of January 2023 to 31st of December 2023 and 31st of December 2023 to 25th 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 LO Funds Swiss price movement. The serial correlation of -0.21 indicates that over 21.0% of current LO Funds price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.21 | |
| Spearman Rank Test | -0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 56.74 |
LO Funds Swiss lagged returns against current returns
Autocorrelation, which is LO Funds 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 LO Funds' fund expected returns. We can calculate the autocorrelation of LO Funds returns to help us make a trade decision. For example, suppose you find that LO Funds 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 |
LO Funds 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 LO Funds fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if LO Funds fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in LO Funds fund over time.
Current vs Lagged Prices |
| Timeline |
LO Funds Lagged Returns
When evaluating LO Funds' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of LO Funds fund have on its future price. LO Funds 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, LO Funds autocorrelation shows the relationship between LO Funds fund current value and its past values and can show if there is a momentum factor associated with investing in LO Funds Swiss.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
| Sign In To Macroaxis Sign in to explore Macroaxis' wealth optimization platform and fintech modules | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity |