Td Monthly Income Fund Market Value
| 0P00016N5D | CAD 13.73 0.04 0.29% |
| Symbol | 0P00016N5D |
TD Monthly '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 TD Monthly'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 TD Monthly.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in TD Monthly on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding TD Monthly Income or generate 0.0% return on investment in TD Monthly over 90 days. TD Monthly is related to or competes with Global Healthcare, and CI Global. The fundamental investment objective is to seek to provide a consistent level of monthly income with capital appreciatio... More
TD Monthly 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 TD Monthly'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 TD Monthly Income upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1199 | |||
| Maximum Drawdown | 2.08 | |||
| Value At Risk | (0.93) | |||
| Potential Upside | 0.641 |
TD Monthly Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for TD Monthly's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as TD Monthly's standard deviation. In reality, there are many statistical measures that can use TD Monthly historical prices to predict the future TD Monthly's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | 0.0022 | |||
| Treynor Ratio | (1.75) |
TD Monthly Income Backtested Returns
TD Monthly Income retains Efficiency (Sharpe Ratio) of -0.0751, which indicates the fund had a -0.0751 % return per unit of price deviation over the last 3 months. TD Monthly exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate TD Monthly's Standard Deviation of 0.4538, risk adjusted performance of (0.09), and Mean Deviation of 0.3406 to confirm the risk estimate we provide. The entity owns a Beta (Systematic Risk) of 0.0312, which indicates not very significant fluctuations relative to the market. As returns on the market increase, TD Monthly's returns are expected to increase less than the market. However, during the bear market, the loss of holding TD Monthly is expected to be smaller as well.
Auto-correlation | -0.8 |
Almost perfect reverse predictability
TD Monthly Income has almost perfect reverse predictability. Overlapping area represents the amount of predictability between TD Monthly time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of TD Monthly Income price movement. The serial correlation of -0.8 indicates that around 80.0% of current TD Monthly price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.8 | |
| Spearman Rank Test | -0.5 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
TD Monthly Income lagged returns against current returns
Autocorrelation, which is TD Monthly 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 TD Monthly's fund expected returns. We can calculate the autocorrelation of TD Monthly returns to help us make a trade decision. For example, suppose you find that TD Monthly 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 |
TD Monthly 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 TD Monthly fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if TD Monthly fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in TD Monthly fund over time.
Current vs Lagged Prices |
| Timeline |
TD Monthly Lagged Returns
When evaluating TD Monthly's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of TD Monthly fund have on its future price. TD Monthly 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, TD Monthly autocorrelation shows the relationship between TD Monthly fund current value and its past values and can show if there is a momentum factor associated with investing in TD Monthly Income.
Regressed Prices |
| Timeline |
Pair Trading with TD Monthly
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 TD Monthly 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 TD Monthly will appreciate offsetting losses from the drop in the long position's value.Moving together with 0P00016N5D Fund
| 0.89 | 0P000071LQ | TD Revenu mensuel | PairCorr |
The ability to find closely correlated positions to TD Monthly could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace TD Monthly 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 TD Monthly - 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 TD Monthly Income to buy it.
The correlation of TD Monthly 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 TD Monthly moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if TD Monthly Income 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 TD Monthly 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 0P00016N5D Fund
TD Monthly financial ratios help investors to determine whether 0P00016N5D Fund 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 0P00016N5D with respect to the benefits of owning TD Monthly security.
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