Td Index Fund Market Value
| 0P000071W8 | CAD 139.89 2.32 1.63% |
| Symbol | 0P000071W8 |
TD Index '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 Index'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 Index.
| 12/18/2024 |
| 03/18/2025 |
If you would invest 0.00 in TD Index on December 18, 2024 and sell it all today you would earn a total of 0.00 from holding TD Index Fund or generate 0.0% return on investment in TD Index over 90 days. TD Index is related to or competes with Global Iman. The fundamental investment objective is to provide long-term growth of capital by primarily purchasing U.S More
TD Index 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 Index'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 Index Fund upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 4.1 | |||
| Value At Risk | (1.53) | |||
| Potential Upside | 1.49 |
TD Index Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for TD Index's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as TD Index's standard deviation. In reality, there are many statistical measures that can use TD Index historical prices to predict the future TD Index's volatility.| Risk Adjusted Performance | (0.12) | |||
| Jensen Alpha | (0.14) | |||
| Total Risk Alpha | (0.02) | |||
| Treynor Ratio | 6.63 |
TD Index Fund Backtested Returns
TD Index Fund retains Efficiency (Sharpe Ratio) of -0.0993, which indicates the fund had a -0.0993 % return per unit of price deviation over the last 3 months. TD Index exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate TD Index's Standard Deviation of 0.938, mean deviation of 0.7354, and Risk Adjusted Performance of (0.12) to confirm the risk estimate we provide. The entity owns a Beta (Systematic Risk) of -0.0212, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning TD Index are expected to decrease at a much lower rate. During the bear market, TD Index is likely to outperform the market.
Auto-correlation | -0.75 |
Almost perfect reverse predictability
TD Index Fund has almost perfect reverse predictability. Overlapping area represents the amount of predictability between TD Index time series from 18th of December 2024 to 1st of February 2025 and 1st of February 2025 to 18th 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 Index Fund price movement. The serial correlation of -0.75 indicates that around 75.0% of current TD Index price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.75 | |
| Spearman Rank Test | -0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 20.8 |
TD Index Fund lagged returns against current returns
Autocorrelation, which is TD Index 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 Index's fund expected returns. We can calculate the autocorrelation of TD Index returns to help us make a trade decision. For example, suppose you find that TD Index 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 Index 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 Index fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if TD Index fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in TD Index fund over time.
Current vs Lagged Prices |
| Timeline |
TD Index Lagged Returns
When evaluating TD Index's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of TD Index fund have on its future price. TD Index 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 Index autocorrelation shows the relationship between TD Index fund current value and its past values and can show if there is a momentum factor associated with investing in TD Index Fund.
Regressed Prices |
| Timeline |
Pair Trading with TD Index
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 Index 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 Index will appreciate offsetting losses from the drop in the long position's value.Moving together with 0P000071W8 Fund
| 0.66 | 0P0000OXA6 | PHN Multi Style | PairCorr |
Moving against 0P000071W8 Fund
The ability to find closely correlated positions to TD Index 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 Index 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 Index - 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 Index Fund to buy it.
The correlation of TD Index 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 Index moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if TD Index Fund 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 Index 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 0P000071W8 Fund
TD Index financial ratios help investors to determine whether 0P000071W8 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 0P000071W8 with respect to the benefits of owning TD Index security.
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