Td Index Fund E Fund Market Value
| TDB902 Fund | 151.39 0.65 0.43% |
| Symbol | TDB902 |
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.
| 09/12/2024 |
| 12/11/2024 |
If you would invest 0.00 in TD Index on September 12, 2024 and sell it all today you would earn a total of 0.00 from holding TD Index Fund E or generate 0.0% return on investment in TD Index over 90 days.
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 E upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6664 | |||
| Information Ratio | 0.1501 | |||
| Maximum Drawdown | 4.46 | |||
| Value At Risk | (0.84) | |||
| Potential Upside | 1.17 |
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 | 0.2355 | |||
| Jensen Alpha | 0.1556 | |||
| Total Risk Alpha | 0.1086 | |||
| Sortino Ratio | 0.159 | |||
| Treynor Ratio | 0.3891 |
TD Index Fund Backtested Returns
TD Index appears to be very steady, given 3 months investment horizon. TD Index Fund retains Efficiency (Sharpe Ratio) of 0.29, which indicates the fund had a 0.29% return per unit of price deviation over the last 3 months. We have found twenty-eight technical indicators for TD Index, which you can use to evaluate the volatility of the fund. Please review TD Index's Downside Deviation of 0.6664, mean deviation of 0.4831, and Risk Adjusted Performance of 0.2355 to confirm if our risk estimates are consistent with your expectations. The entity owns a Beta (Systematic Risk) of 0.57, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, TD Index's returns are expected to increase less than the market. However, during the bear market, the loss of holding TD Index is expected to be smaller as well.
Auto-correlation | 0.84 |
Very good predictability
TD Index Fund E has very good predictability. Overlapping area represents the amount of predictability between TD Index time series from 12th of September 2024 to 27th of October 2024 and 27th of October 2024 to 11th 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 TD Index Fund price movement. The serial correlation of 0.84 indicates that around 84.0% of current TD Index price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.84 | |
| Spearman Rank Test | 0.84 | |
| Residual Average | 0.0 | |
| Price Variance | 13.04 |
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 E.
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 TDB902 Fund
| 0.93 | 0P0000706A | RBC Select Balanced | PairCorr |
| 0.93 | 0P00007069 | RBC Portefeuille | PairCorr |
| 0.92 | 0P0000IUYO | Edgepoint Global Por | PairCorr |
| 0.86 | 0P0001FAU8 | TD Comfort Balanced | PairCorr |
| 0.98 | 0P00012UCU | RBC Global Equity | PairCorr |
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 E 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.| Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
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