Alps Industries (India) Market Value
| ALPSINDUS | 3.99 0.20 5.28% |
| Symbol | Alps |
Alps Industries '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 Industries' stock 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 Industries.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Alps Industries on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Alps Industries Limited or generate 0.0% return on investment in Alps Industries over 30 days. Alps Industries is related to or competes with Tata Communications, LT Foods, Bikaji Foods, Shyam Telecom, Ortel Communications, Hindustan Foods, and Tree House. Alps Industries is entity of India. It is traded as Stock on NSE exchange. More
Alps Industries 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 Industries' stock 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 Alps Industries Limited upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 14.43 | |||
| Value At Risk | (5.00) | |||
| Potential Upside | 4.98 |
Alps Industries Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alps Industries' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alps Industries' standard deviation. In reality, there are many statistical measures that can use Alps Industries historical prices to predict the future Alps Industries' volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.24) | |||
| Total Risk Alpha | (0.58) | |||
| Treynor Ratio | (0.08) |
Alps Industries Backtested Returns
At this point, Alps Industries is relatively risky. Alps Industries secures Sharpe Ratio (or Efficiency) of 0.0016, which signifies that the company had a 0.0016% return per unit of risk over the last 3 months. We have found twenty-two technical indicators for Alps Industries Limited, which you can use to evaluate the volatility of the firm. Please confirm Alps Industries' Risk Adjusted Performance of (0.01), mean deviation of 2.21, and Standard Deviation of 3.05 to double-check if the risk estimate we provide is consistent with the expected return of 0.0049%. The firm shows a Beta (market volatility) of 1.18, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Alps Industries will likely underperform. Alps Industries right now shows a risk of 3.14%. Please confirm Alps Industries information ratio, potential upside, as well as the relationship between the Potential Upside and day median price , to decide if Alps Industries will be following its price patterns.
Auto-correlation | -0.84 |
Excellent reverse predictability
Alps Industries Limited has excellent reverse predictability. Overlapping area represents the amount of predictability between Alps Industries time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 Alps Industries price movement. The serial correlation of -0.84 indicates that around 84.0% of current Alps Industries price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.84 | |
| Spearman Rank Test | -0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Alps Industries lagged returns against current returns
Autocorrelation, which is Alps Industries stock'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 Industries' stock expected returns. We can calculate the autocorrelation of Alps Industries returns to help us make a trade decision. For example, suppose you find that Alps Industries has exhibited high autocorrelation historically, and you observe that the stock 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 Industries 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 Industries stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alps Industries stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alps Industries stock over time.
Current vs Lagged Prices |
| Timeline |
Alps Industries Lagged Returns
When evaluating Alps Industries' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alps Industries stock have on its future price. Alps Industries 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 Industries autocorrelation shows the relationship between Alps Industries stock current value and its past values and can show if there is a momentum factor associated with investing in Alps Industries Limited.
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 Stock
Alps Industries financial ratios help investors to determine whether Alps Stock 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 with respect to the benefits of owning Alps Industries security.