Alpskotak India Growth Fund Market Value
| INDAX Fund | USD 17.84 0.02 0.11% |
| Symbol | Alpskotak |
Alpskotak 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 Alpskotak 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 Alpskotak India.
| 05/06/2022 |
| 04/25/2024 |
If you would invest 0.00 in Alpskotak India on May 6, 2022 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 Alpskotak India over 720 days. Alpskotak India is related to or competes with Alpskotak India, Alpskotak India, Alpskotak India, Financial Investors, Riverfront Asset, and Alpscorecommodity. Under normal circumstances, the fund will invest at least 80 percent of its net assets, plus any borrowings for investme... More
Alpskotak 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 Alpskotak 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.
| Downside Deviation | 0.7861 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 3.17 | |||
| Value At Risk | (1.18) | |||
| Potential Upside | 1.04 |
Alpskotak India Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alpskotak India's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alpskotak India's standard deviation. In reality, there are many statistical measures that can use Alpskotak India historical prices to predict the future Alpskotak India's volatility.| Risk Adjusted Performance | 0.0413 | |||
| Jensen Alpha | 0.0074 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.0992 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Alpskotak India's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Alpskotak India Growth Backtested Returns
We consider Alpskotak India very steady. Alpskotak India Growth secures Sharpe Ratio (or Efficiency) of 0.0931, which signifies that the fund had a 0.0931% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Alpskotak India Growth, which you can use to evaluate the volatility of the entity. Please confirm Alpskotak India's Risk Adjusted Performance of 0.0413, mean deviation of 0.5283, and Downside Deviation of 0.7861 to double-check if the risk estimate we provide is consistent with the expected return of 0.0631%. The fund shows a Beta (market volatility) of 0.35, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Alpskotak India's returns are expected to increase less than the market. However, during the bear market, the loss of holding Alpskotak India is expected to be smaller as well.
Auto-correlation | 0.01 |
Virtually no predictability
Alpskotak India Growth has virtually no predictability. Overlapping area represents the amount of predictability between Alpskotak India time series from 6th of May 2022 to 1st of May 2023 and 1st of May 2023 to 25th of April 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 0.01 indicates that just 1.0% of current Alpskotak India price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.01 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.88 |
Alpskotak India Growth lagged returns against current returns
Autocorrelation, which is Alpskotak 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 Alpskotak India's mutual fund expected returns. We can calculate the autocorrelation of Alpskotak India returns to help us make a trade decision. For example, suppose you find that Alpskotak 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 |
Alpskotak 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 Alpskotak India mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alpskotak 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 Alpskotak India mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Alpskotak India Lagged Returns
When evaluating Alpskotak India's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alpskotak India mutual fund have on its future price. Alpskotak 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, Alpskotak India autocorrelation shows the relationship between Alpskotak 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 |
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Try AI Portfolio ArchitectCheck out Alpskotak India Correlation, Alpskotak India Volatility and Alpskotak India Alpha and Beta module to complement your research on Alpskotak India. Note that the Alpskotak India Growth information on this page should be used as a complementary analysis to other Alpskotak India's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
Alpskotak India technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.