CSIF III (Switzerland) Market Value
| 0P0000ZGJ5 | 1,214 12.26 1.00% |
| Symbol | CSIF |
CSIF III '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 CSIF III'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 CSIF III.
| 11/26/2024 |
| 12/26/2024 |
If you would invest 0.00 in CSIF III on November 26, 2024 and sell it all today you would earn a total of 0.00 from holding CSIF III Real or generate 0.0% return on investment in CSIF III over 30 days.
CSIF III 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 CSIF III'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 CSIF III Real upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 4.55 | |||
| Value At Risk | (1.36) | |||
| Potential Upside | 1.14 |
CSIF III Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CSIF III's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CSIF III's standard deviation. In reality, there are many statistical measures that can use CSIF III historical prices to predict the future CSIF III's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.11) | |||
| Treynor Ratio | (0.87) |
CSIF III Real Backtested Returns
CSIF III Real secures Sharpe Ratio (or Efficiency) of -0.0959, which signifies that the fund had a -0.0959% return per unit of return volatility over the last 3 months. CSIF III Real exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm CSIF III's Coefficient Of Variation of (1,030), mean deviation of 0.4899, and Risk Adjusted Performance of (0.08) to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of 0.0916, which signifies not very significant fluctuations relative to the market. As returns on the market increase, CSIF III's returns are expected to increase less than the market. However, during the bear market, the loss of holding CSIF III is expected to be smaller as well.
Auto-correlation | 0.82 |
Very good predictability
CSIF III Real has very good predictability. Overlapping area represents the amount of predictability between CSIF III time series from 26th of November 2024 to 11th of December 2024 and 11th of December 2024 to 26th 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 CSIF III Real price movement. The serial correlation of 0.82 indicates that around 82.0% of current CSIF III price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.82 | |
| Spearman Rank Test | 0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 487.44 |
CSIF III Real lagged returns against current returns
Autocorrelation, which is CSIF III 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 CSIF III's fund expected returns. We can calculate the autocorrelation of CSIF III returns to help us make a trade decision. For example, suppose you find that CSIF III 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 |
CSIF III 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 CSIF III fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CSIF III fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CSIF III fund over time.
Current vs Lagged Prices |
| Timeline |
CSIF III Lagged Returns
When evaluating CSIF III's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CSIF III fund have on its future price. CSIF III 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, CSIF III autocorrelation shows the relationship between CSIF III fund current value and its past values and can show if there is a momentum factor associated with investing in CSIF III Real.
Regressed Prices |
| Timeline |
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