HDFC Nifty's market value is the price at which a share of HDFC Nifty trades on a public exchange. It measures the collective expectations of HDFC Nifty 100 investors about its performance. HDFC Nifty is trading at 26.12 as of the 11th of December 2024. This is a 0.15 percent increase since the beginning of the trading day. The etf's lowest day price was 26.0. With this module, you can estimate the performance of a buy and hold strategy of HDFC Nifty 100 and determine expected loss or profit from investing in HDFC Nifty 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 Nifty '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 Nifty'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 Nifty.
0.00
08/19/2023
No Change 0.00
0.0
In 1 year 3 months and 26 days
12/11/2024
0.00
If you would invest 0.00 in HDFC Nifty on August 19, 2023 and sell it all today you would earn a total of 0.00 from holding HDFC Nifty 100 or generate 0.0% return on investment in HDFC Nifty over 480 days.
HDFC Nifty 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 Nifty'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 Nifty 100 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 Nifty's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as HDFC Nifty's standard deviation. In reality, there are many statistical measures that can use HDFC Nifty historical prices to predict the future HDFC Nifty's volatility.
HDFC Nifty 100 holds Efficiency (Sharpe) Ratio of -0.0275, which attests that the entity had a -0.0275% return per unit of return volatility over the last 3 months. HDFC Nifty 100 exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out HDFC Nifty's Market Risk Adjusted Performance of (0.08), coefficient of variation of (8,621), and insignificant Risk Adjusted Performance to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.28, which attests to not very significant fluctuations relative to the market. As returns on the market increase, HDFC Nifty's returns are expected to increase less than the market. However, during the bear market, the loss of holding HDFC Nifty is expected to be smaller as well.
Auto-correlation
-0.82
Excellent reverse predictability
HDFC Nifty 100 has excellent reverse predictability. Overlapping area represents the amount of predictability between HDFC Nifty time series from 19th of August 2023 to 15th of April 2024 and 15th of April 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 HDFC Nifty 100 price movement. The serial correlation of -0.82 indicates that around 82.0% of current HDFC Nifty price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.82
Spearman Rank Test
0.11
Residual Average
0.0
Price Variance
1.39
HDFC Nifty 100 lagged returns against current returns
Autocorrelation, which is HDFC Nifty 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 Nifty's etf expected returns. We can calculate the autocorrelation of HDFC Nifty returns to help us make a trade decision. For example, suppose you find that HDFC Nifty 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 Nifty 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 Nifty etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if HDFC Nifty etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in HDFC Nifty etf over time.
Current vs Lagged Prices
Timeline
HDFC Nifty Lagged Returns
When evaluating HDFC Nifty's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of HDFC Nifty etf have on its future price. HDFC Nifty 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 Nifty autocorrelation shows the relationship between HDFC Nifty etf current value and its past values and can show if there is a momentum factor associated with investing in HDFC Nifty 100.
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.