Ci Synergy American Fund Market Value
| 0P000075Q1 | 42.39 0.00 0.00% |
| Symbol | 0P000075Q1 |
CI Synergy '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 CI Synergy'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 CI Synergy.
| 11/19/2023 |
| 12/13/2024 |
If you would invest 0.00 in CI Synergy on November 19, 2023 and sell it all today you would earn a total of 0.00 from holding CI Synergy American or generate 0.0% return on investment in CI Synergy over 390 days.
CI Synergy 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 CI Synergy'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 CI Synergy American upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8544 | |||
| Information Ratio | 0.1285 | |||
| Maximum Drawdown | 4.99 | |||
| Value At Risk | (1.24) | |||
| Potential Upside | 1.38 |
CI Synergy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CI Synergy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CI Synergy's standard deviation. In reality, there are many statistical measures that can use CI Synergy historical prices to predict the future CI Synergy's volatility.| Risk Adjusted Performance | 0.1937 | |||
| Jensen Alpha | 0.1977 | |||
| Total Risk Alpha | 0.0923 | |||
| Sortino Ratio | 0.1231 | |||
| Treynor Ratio | 2.27 |
CI Synergy American Backtested Returns
At this point, CI Synergy is very steady. CI Synergy American retains Efficiency (Sharpe Ratio) of 0.2, which signifies that the fund had a 0.2% return per unit of price deviation over the last 3 months. We have found twenty-five technical indicators for CI Synergy, which you can use to evaluate the volatility of the entity. Please confirm CI Synergy's Coefficient Of Variation of 377.25, market risk adjusted performance of 2.28, and Standard Deviation of 0.8185 to double-check if the risk estimate we provide is consistent with the expected return of 0.16%. The fund owns a Beta (Systematic Risk) of 0.0913, which signifies not very significant fluctuations relative to the market. As returns on the market increase, CI Synergy's returns are expected to increase less than the market. However, during the bear market, the loss of holding CI Synergy is expected to be smaller as well.
Auto-correlation | 0.72 |
Good predictability
CI Synergy American has good predictability. Overlapping area represents the amount of predictability between CI Synergy time series from 19th of November 2023 to 1st of June 2024 and 1st of June 2024 to 13th 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 CI Synergy American price movement. The serial correlation of 0.72 indicates that around 72.0% of current CI Synergy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.72 | |
| Spearman Rank Test | 0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 2.24 |
CI Synergy American lagged returns against current returns
Autocorrelation, which is CI Synergy 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 CI Synergy's fund expected returns. We can calculate the autocorrelation of CI Synergy returns to help us make a trade decision. For example, suppose you find that CI Synergy 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 |
CI Synergy 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 CI Synergy fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CI Synergy fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CI Synergy fund over time.
Current vs Lagged Prices |
| Timeline |
CI Synergy Lagged Returns
When evaluating CI Synergy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CI Synergy fund have on its future price. CI Synergy 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, CI Synergy autocorrelation shows the relationship between CI Synergy fund current value and its past values and can show if there is a momentum factor associated with investing in CI Synergy American.
Regressed Prices |
| Timeline |
Pair Trading with CI Synergy
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 CI Synergy 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 CI Synergy will appreciate offsetting losses from the drop in the long position's value.Moving together with 0P000075Q1 Fund
| 0.95 | 0P0000706A | RBC Select Balanced | PairCorr |
| 0.95 | 0P00007069 | RBC Portefeuille | PairCorr |
| 0.88 | 0P0000IUYO | Edgepoint Global Por | PairCorr |
| 0.89 | 0P0001FAU8 | TD Comfort Balanced | PairCorr |
| 0.99 | 0P00012UCU | RBC Global Equity | PairCorr |
The ability to find closely correlated positions to CI Synergy could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CI Synergy 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 CI Synergy - 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 CI Synergy American to buy it.
The correlation of CI Synergy 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 CI Synergy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CI Synergy American 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 CI Synergy 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.| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
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