Ci One North Etf Market Value
| ONEB Etf | CAD 49.29 0.07 0.14% |
| Symbol | ONEB |
CI ONE '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 ONE's etf 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 ONE.
| 12/14/2022 |
| 12/03/2024 |
If you would invest 0.00 in CI ONE on December 14, 2022 and sell it all today you would earn a total of 0.00 from holding CI ONE North or generate 0.0% return on investment in CI ONE over 720 days. CI ONE is related to or competes with BMO Short, BMO High, IShares Core, Harvest Global, IShares Canadian, Global X, and Altagas Cum. The ONE North American Core Plus Bond ETF seeks to provide a stable rate of return, primarily through income, and to a l... More
CI ONE 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 ONE's etf 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 ONE North upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2304 | |||
| Information Ratio | (0.50) | |||
| Maximum Drawdown | 1.0 | |||
| Value At Risk | (0.35) | |||
| Potential Upside | 0.3688 |
CI ONE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CI ONE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CI ONE's standard deviation. In reality, there are many statistical measures that can use CI ONE historical prices to predict the future CI ONE's volatility.| Risk Adjusted Performance | 0.0278 | |||
| Jensen Alpha | 0.0046 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.47) | |||
| Treynor Ratio | 1.15 |
CI ONE North Backtested Returns
As of now, ONEB Etf is very steady. CI ONE North retains Efficiency (Sharpe Ratio) of 0.0758, which signifies that the etf had a 0.0758% return per unit of price deviation over the last 3 months. We have found twenty-seven technical indicators for CI ONE, which you can use to evaluate the volatility of the entity. Please confirm CI ONE's Standard Deviation of 0.2177, market risk adjusted performance of 1.16, and Coefficient Of Variation of 1445.21 to double-check if the risk estimate we provide is consistent with the expected return of 0.0161%. The etf owns a Beta (Systematic Risk) of 0.0044, which signifies not very significant fluctuations relative to the market. As returns on the market increase, CI ONE's returns are expected to increase less than the market. However, during the bear market, the loss of holding CI ONE is expected to be smaller as well.
Auto-correlation | 0.19 |
Very weak predictability
CI ONE North has very weak predictability. Overlapping area represents the amount of predictability between CI ONE time series from 14th of December 2022 to 9th of December 2023 and 9th of December 2023 to 3rd 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 ONE North price movement. The serial correlation of 0.19 indicates that over 19.0% of current CI ONE price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.19 | |
| Spearman Rank Test | 0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 0.79 |
CI ONE North lagged returns against current returns
Autocorrelation, which is CI ONE etf'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 ONE's etf expected returns. We can calculate the autocorrelation of CI ONE returns to help us make a trade decision. For example, suppose you find that CI ONE has exhibited high autocorrelation historically, and you observe that the etf 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 ONE 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 ONE etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CI ONE etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CI ONE etf over time.
Current vs Lagged Prices |
| Timeline |
CI ONE Lagged Returns
When evaluating CI ONE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CI ONE etf have on its future price. CI ONE 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 ONE autocorrelation shows the relationship between CI ONE etf current value and its past values and can show if there is a momentum factor associated with investing in CI ONE North.
Regressed Prices |
| Timeline |
Pair Trading with CI ONE
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 ONE 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 ONE will appreciate offsetting losses from the drop in the long position's value.Moving together with ONEB Etf
The ability to find closely correlated positions to CI ONE 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 ONE 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 ONE - 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 ONE North to buy it.
The correlation of CI ONE 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 ONE moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CI ONE North 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 ONE 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.Other Information on Investing in ONEB Etf
CI ONE financial ratios help investors to determine whether ONEB Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in ONEB with respect to the benefits of owning CI ONE security.