Alpskotak India Growth Fund Market Value

INDIX Fund  USD 20.62  0.22  1.08%   
Alps/kotak India's market value is the price at which a share of Alps/kotak India trades on a public exchange. It measures the collective expectations of Alpskotak India Growth investors about its performance. Alps/kotak India is trading at 20.62 as of the 27th of November 2024; that is 1.08 percent increase since the beginning of the trading day. The fund's open price was 20.4.
With this module, you can estimate the performance of a buy and hold strategy of Alpskotak India Growth and determine expected loss or profit from investing in Alps/kotak India over a given investment horizon. Check out Alps/kotak India Correlation, Alps/kotak India Volatility and Alps/kotak India Alpha and Beta module to complement your research on Alps/kotak India.
Symbol

Please note, there is a significant difference between Alps/kotak India's value and its price as these two are different measures arrived at by different means. Investors typically determine if Alps/kotak India is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Alps/kotak India'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.

Alps/kotak India '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 Alps/kotak India's mutual 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 Alps/kotak India.
0.00
09/28/2024
No Change 0.00  0.0 
In 2 months and 2 days
11/27/2024
0.00
If you would invest  0.00  in Alps/kotak India on September 28, 2024 and sell it all today you would earn a total of 0.00 from holding Alpskotak India Growth or generate 0.0% return on investment in Alps/kotak India over 60 days. Alps/kotak India is related to or competes with Calamos Global, Rbc Global, Ultra-short Fixed, Ab Select, Us Vector, Vanguard Equity, and Doubleline Core. Under normal circumstances, the fund will invest at least 80 percent of its net assets, plus any borrowings for investme... More

Alps/kotak India 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 Alps/kotak India's mutual 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 Alpskotak India Growth upside and downside potential and time the market with a certain degree of confidence.

Alps/kotak India Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Alps/kotak India's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alps/kotak India's standard deviation. In reality, there are many statistical measures that can use Alps/kotak India historical prices to predict the future Alps/kotak India's volatility.
Hype
Prediction
LowEstimatedHigh
0.000.000.92
Details
Intrinsic
Valuation
LowRealHigh
0.000.000.92
Details
Naive
Forecast
LowNextHigh
19.6620.5821.50
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
19.7920.2120.64
Details

Alpskotak India Growth Backtested Returns

Alpskotak India Growth secures Sharpe Ratio (or Efficiency) of -0.003, which signifies that the fund had a -0.003% return per unit of risk over the last 3 months. Alpskotak India Growth exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Alps/kotak India's Downside Deviation of 1.01, risk adjusted performance of 0.0043, and Mean Deviation of 0.6929 to double-check the risk estimate we provide. The fund shows a Beta (market volatility) of -0.0046, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Alps/kotak India are expected to decrease at a much lower rate. During the bear market, Alps/kotak India is likely to outperform the market.

Auto-correlation

    
  0.13  

Insignificant predictability

Alpskotak India Growth has insignificant predictability. Overlapping area represents the amount of predictability between Alps/kotak India time series from 28th of September 2024 to 28th of October 2024 and 28th of October 2024 to 27th of November 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 Alpskotak India Growth price movement. The serial correlation of 0.13 indicates that less than 13.0% of current Alps/kotak India price fluctuation can be explain by its past prices.
Correlation Coefficient0.13
Spearman Rank Test0.09
Residual Average0.0
Price Variance0.04

Alpskotak India Growth lagged returns against current returns

Autocorrelation, which is Alps/kotak India mutual 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 Alps/kotak India's mutual fund expected returns. We can calculate the autocorrelation of Alps/kotak India returns to help us make a trade decision. For example, suppose you find that Alps/kotak India has exhibited high autocorrelation historically, and you observe that the mutual 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  

Alps/kotak India 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 Alps/kotak India mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alps/kotak India mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alps/kotak India mutual fund over time.
   Current vs Lagged Prices   
       Timeline  

Alps/kotak India Lagged Returns

When evaluating Alps/kotak India's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alps/kotak India mutual fund have on its future price. Alps/kotak India 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, Alps/kotak India autocorrelation shows the relationship between Alps/kotak India mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Alpskotak India Growth.
   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.

Other Information on Investing in Alps/kotak Mutual Fund

Alps/kotak India financial ratios help investors to determine whether Alps/kotak Mutual 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 Alps/kotak with respect to the benefits of owning Alps/kotak India security.
Investing Opportunities
Build portfolios using our predefined set of ideas and optimize them against your investing preferences
Equity Forecasting
Use basic forecasting models to generate price predictions and determine price momentum