Ig Core Portfolio Fund Market Value
| 0P0000ZCS9 | 15.13 0.02 0.13% |
| Symbol | 0P0000ZCS9 |
IG Core '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 IG Core'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 IG Core.
| 01/25/2024 |
| 01/14/2026 |
If you would invest 0.00 in IG Core on January 25, 2024 and sell it all today you would earn a total of 0.00 from holding IG Core Portfolio or generate 0.0% return on investment in IG Core over 720 days.
IG Core 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 IG Core'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 IG Core Portfolio upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.4541 | |||
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 1.85 | |||
| Value At Risk | (0.61) | |||
| Potential Upside | 0.684 |
IG Core Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for IG Core's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IG Core's standard deviation. In reality, there are many statistical measures that can use IG Core historical prices to predict the future IG Core's volatility.| Risk Adjusted Performance | 0.0883 | |||
| Jensen Alpha | 0.0416 | |||
| Total Risk Alpha | (0) | |||
| Sortino Ratio | (0.09) | |||
| Treynor Ratio | 1.61 |
IG Core Portfolio Backtested Returns
At this stage we consider 0P0000ZCS9 Fund to be very steady. IG Core Portfolio retains Efficiency (Sharpe Ratio) of 0.15, which attests that the entity had a 0.15 % return per unit of price deviation over the last 3 months. We have found twenty-seven technical indicators for IG Core, which you can use to evaluate the volatility of the entity. Please check out IG Core's Standard Deviation of 0.4193, market risk adjusted performance of 1.62, and Semi Deviation of 0.3494 to validate if the risk estimate we provide is consistent with the expected return of 0.0547%. The fund owns a Beta (Systematic Risk) of 0.0272, which attests to not very significant fluctuations relative to the market. As returns on the market increase, IG Core's returns are expected to increase less than the market. However, during the bear market, the loss of holding IG Core is expected to be smaller as well.
Auto-correlation | 0.90 |
Excellent predictability
IG Core Portfolio has excellent predictability. Overlapping area represents the amount of predictability between IG Core time series from 25th of January 2024 to 19th of January 2025 and 19th of January 2025 to 14th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of IG Core Portfolio price movement. The serial correlation of 0.9 indicates that approximately 90.0% of current IG Core price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.9 | |
| Spearman Rank Test | 0.9 | |
| Residual Average | 0.0 | |
| Price Variance | 0.36 |
IG Core Portfolio lagged returns against current returns
Autocorrelation, which is IG Core 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 IG Core's fund expected returns. We can calculate the autocorrelation of IG Core returns to help us make a trade decision. For example, suppose you find that IG Core 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 |
IG Core 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 IG Core fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if IG Core fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in IG Core fund over time.
Current vs Lagged Prices |
| Timeline |
IG Core Lagged Returns
When evaluating IG Core's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IG Core fund have on its future price. IG Core 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, IG Core autocorrelation shows the relationship between IG Core fund current value and its past values and can show if there is a momentum factor associated with investing in IG Core Portfolio.
Regressed Prices |
| Timeline |
Pair Trading with IG Core
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 IG Core 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 IG Core will appreciate offsetting losses from the drop in the long position's value.Moving together with 0P0000ZCS9 Fund
| 0.97 | 0P0000706A | RBC Select Balanced | PairCorr |
| 0.81 | 0P0000S9O7 | PIMCO Monthly Income | PairCorr |
| 0.77 | 0P0000S9O5 | PIMCO Monthly Income | PairCorr |
| 0.75 | 0P000072KJ | RBC Canadian Dividend | PairCorr |
| 0.98 | 0P00007069 | RBC Portefeuille | PairCorr |
The ability to find closely correlated positions to IG Core could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace IG Core 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 IG Core - 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 IG Core Portfolio to buy it.
The correlation of IG Core 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 IG Core moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if IG Core Portfolio 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 IG Core 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.| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
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