Td North American Fund Market Value
| TDNA Fund | 37.67 0.31 0.83% |
| Symbol | TDNA |
TD North '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 North'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 North.
| 12/13/2025 |
| 01/12/2026 |
If you would invest 0.00 in TD North on December 13, 2025 and sell it all today you would earn a total of 0.00 from holding TD North American or generate 0.0% return on investment in TD North over 30 days.
TD North 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 North'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 North American upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.757 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 3.73 | |||
| Value At Risk | (1.23) | |||
| Potential Upside | 1.44 |
TD North Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for TD North's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as TD North's standard deviation. In reality, there are many statistical measures that can use TD North historical prices to predict the future TD North's volatility.| Risk Adjusted Performance | 0.0556 | |||
| Jensen Alpha | 0.0068 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.0971 |
TD North American Backtested Returns
As of now, TDNA Fund is very steady. TD North American retains Efficiency (Sharpe Ratio) of 0.0973, which indicates the fund had a 0.0973 % return per unit of price deviation over the last 3 months. We have found twenty-eight technical indicators for TD North, which you can use to evaluate the volatility of the fund. Please validate TD North's Risk Adjusted Performance of 0.0556, downside deviation of 0.757, and Mean Deviation of 0.6672 to confirm if the risk estimate we provide is consistent with the expected return of 0.0773%. The entity owns a Beta (Systematic Risk) of 0.53, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, TD North's returns are expected to increase less than the market. However, during the bear market, the loss of holding TD North is expected to be smaller as well.
Auto-correlation | 0.84 |
Very good predictability
TD North American has very good predictability. Overlapping area represents the amount of predictability between TD North time series from 13th of December 2025 to 28th of December 2025 and 28th of December 2025 to 12th 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 TD North American price movement. The serial correlation of 0.84 indicates that around 84.0% of current TD North price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.84 | |
| Spearman Rank Test | 0.85 | |
| Residual Average | 0.0 | |
| Price Variance | 0.16 |
TD North American lagged returns against current returns
Autocorrelation, which is TD North 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 North's fund expected returns. We can calculate the autocorrelation of TD North returns to help us make a trade decision. For example, suppose you find that TD North 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 North 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 North fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if TD North fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in TD North fund over time.
Current vs Lagged Prices |
| Timeline |
TD North Lagged Returns
When evaluating TD North's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of TD North fund have on its future price. TD North 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 North autocorrelation shows the relationship between TD North fund current value and its past values and can show if there is a momentum factor associated with investing in TD North American.
Regressed Prices |
| Timeline |
Pair Trading with TD North
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 North 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 North will appreciate offsetting losses from the drop in the long position's value.Moving together with TDNA Fund
| 0.66 | 0P0000706A | RBC Select Balanced | PairCorr |
| 0.64 | 0P0000S9O7 | PIMCO Monthly Income | PairCorr |
| 0.68 | 0P000072KJ | RBC Canadian Dividend | PairCorr |
| 0.68 | 0P00007069 | RBC Portefeuille | PairCorr |
The ability to find closely correlated positions to TD North 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 North 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 North - 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 North American to buy it.
The correlation of TD North 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 North moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if TD North American 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 North 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.| AI Portfolio Prophet Use AI to generate optimal portfolios and find profitable investment opportunities | |
| Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
| Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals |