HDFC Mutual's market value is the price at which a share of HDFC Mutual trades on a public exchange. It measures the collective expectations of HDFC Mutual Fund investors about its performance. HDFC Mutual is trading at 72.62 as of the 4th of December 2024; that is 1.25 percent increase since the beginning of the trading day. The etf's open price was 71.72. With this module, you can estimate the performance of a buy and hold strategy of HDFC Mutual Fund and determine expected loss or profit from investing in HDFC Mutual over a given investment horizon. Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
HDFC
HDFC Mutual '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 HDFC Mutual's etf 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 HDFC Mutual.
0.00
06/07/2024
No Change 0.00
0.0
In 5 months and 29 days
12/04/2024
0.00
If you would invest 0.00 in HDFC Mutual on June 7, 2024 and sell it all today you would earn a total of 0.00 from holding HDFC Mutual Fund or generate 0.0% return on investment in HDFC Mutual over 180 days.
HDFC Mutual 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 HDFC Mutual's etf 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 HDFC Mutual Fund upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for HDFC Mutual's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as HDFC Mutual's standard deviation. In reality, there are many statistical measures that can use HDFC Mutual historical prices to predict the future HDFC Mutual's volatility.
HDFC Mutual Fund holds Efficiency (Sharpe) Ratio of -0.0637, which attests that the entity had a -0.0637% return per unit of return volatility over the last 3 months. HDFC Mutual Fund exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out HDFC Mutual's Coefficient Of Variation of (1,449), risk adjusted performance of (0.05), and Market Risk Adjusted Performance of (0.52) to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.16, which attests to not very significant fluctuations relative to the market. As returns on the market increase, HDFC Mutual's returns are expected to increase less than the market. However, during the bear market, the loss of holding HDFC Mutual is expected to be smaller as well.
Auto-correlation
-0.48
Modest reverse predictability
HDFC Mutual Fund has modest reverse predictability. Overlapping area represents the amount of predictability between HDFC Mutual time series from 7th of June 2024 to 5th of September 2024 and 5th of September 2024 to 4th 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 HDFC Mutual Fund price movement. The serial correlation of -0.48 indicates that about 48.0% of current HDFC Mutual price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.48
Spearman Rank Test
-0.5
Residual Average
0.0
Price Variance
10.4
HDFC Mutual Fund lagged returns against current returns
Autocorrelation, which is HDFC Mutual etf'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 HDFC Mutual's etf expected returns. We can calculate the autocorrelation of HDFC Mutual returns to help us make a trade decision. For example, suppose you find that HDFC Mutual has exhibited high autocorrelation historically, and you observe that the etf 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
HDFC Mutual 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 HDFC Mutual etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if HDFC Mutual etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in HDFC Mutual etf over time.
Current vs Lagged Prices
Timeline
HDFC Mutual Lagged Returns
When evaluating HDFC Mutual's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of HDFC Mutual etf have on its future price. HDFC Mutual 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, HDFC Mutual autocorrelation shows the relationship between HDFC Mutual etf current value and its past values and can show if there is a momentum factor associated with investing in HDFC Mutual Fund.
Regressed Prices
Timeline
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.