Td Monthly Income Fund Market Value

0P00016N5D  CAD 14.11  0.05  0.35%   
TD Monthly's market value is the price at which a share of TD Monthly trades on a public exchange. It measures the collective expectations of TD Monthly Income investors about its performance. TD Monthly is trading at 14.11 as of the 4th of March 2025, a 0.35 percent decrease since the beginning of the trading day. The fund's open price was 14.16.
With this module, you can estimate the performance of a buy and hold strategy of TD Monthly Income and determine expected loss or profit from investing in TD Monthly over a given investment horizon. Check out TD Monthly Correlation, TD Monthly Volatility and TD Monthly Alpha and Beta module to complement your research on TD Monthly.
Symbol

Please note, there is a significant difference between TD Monthly's value and its price as these two are different measures arrived at by different means. Investors typically determine if TD Monthly is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, TD Monthly's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

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.
0.00
02/02/2025
No Change 0.00  0.0 
In 31 days
03/04/2025
0.00
If you would invest  0.00  in TD Monthly on February 2, 2025 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 30 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.

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.
Hype
Prediction
LowEstimatedHigh
13.7014.1114.52
Details
Intrinsic
Valuation
LowRealHigh
13.6714.0814.49
Details
Naive
Forecast
LowNextHigh
13.8414.2414.65
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
13.7914.0314.27
Details

TD Monthly Income Backtested Returns

TD Monthly Income retains Efficiency (Sharpe Ratio) of close to zero, which indicates the fund had a close to zero % return per unit of price deviation over the last 3 months. TD Monthly exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate TD Monthly's Downside Deviation of 0.4268, risk adjusted performance of 0.0068, and Mean Deviation of 0.2936 to confirm the risk estimate we provide. The entity owns a Beta (Systematic Risk) of 0.32, which indicates possible diversification benefits within a given portfolio. 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

    
  -0.25  

Weak reverse predictability

TD Monthly Income has weak reverse predictability. Overlapping area represents the amount of predictability between TD Monthly time series from 2nd of February 2025 to 17th of February 2025 and 17th of February 2025 to 4th 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 -0.25 indicates that over 25.0% of current TD Monthly price fluctuation can be explain by its past prices.
Correlation Coefficient-0.25
Spearman Rank Test-0.55
Residual Average0.0
Price Variance0.0

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

  0.890P000071LQ TD Revenu mensuelPairCorr
  0.780P000070CY CDSPI Canadian EquityPairCorr
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.
Pair CorrelationCorrelation Matching

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.
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum
Bond Analysis
Evaluate and analyze corporate bonds as a potential investment for your portfolios.
Insider Screener
Find insiders across different sectors to evaluate their impact on performance