Beta Drugs (India) Market Value
| BETA Stock | 2,173 88.30 4.24% |
| Symbol | Beta |
Please note, there is a significant difference between Beta Drugs' value and its price as these two are different measures arrived at by different means. Investors typically determine if Beta Drugs is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Beta Drugs' 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.
Beta Drugs '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 Beta Drugs' 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 Beta Drugs.
| 05/30/2024 |
| 11/26/2024 |
If you would invest 0.00 in Beta Drugs on May 30, 2024 and sell it all today you would earn a total of 0.00 from holding Beta Drugs or generate 0.0% return on investment in Beta Drugs over 180 days. Beta Drugs is related to or competes with Karur Vysya, Karnataka Bank, Sapphire Foods, Geojit Financial, ADF Foods, Bikaji Foods, and Federal Bank. Beta Drugs is entity of India. It is traded as Stock on NSE exchange. More
Beta Drugs 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 Beta Drugs' 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 Beta Drugs upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.7 | |||
| Information Ratio | 0.1653 | |||
| Maximum Drawdown | 15.99 | |||
| Value At Risk | (4.49) | |||
| Potential Upside | 8.63 |
Beta Drugs Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Beta Drugs' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Beta Drugs' standard deviation. In reality, there are many statistical measures that can use Beta Drugs historical prices to predict the future Beta Drugs' volatility.| Risk Adjusted Performance | 0.1602 | |||
| Jensen Alpha | 0.7489 | |||
| Total Risk Alpha | 0.1569 | |||
| Sortino Ratio | 0.2329 | |||
| Treynor Ratio | (36.96) |
Beta Drugs Backtested Returns
Beta Drugs appears to be very steady, given 3 months investment horizon. Beta Drugs secures Sharpe Ratio (or Efficiency) of 0.18, which signifies that the company had a 0.18% return per unit of risk over the last 3 months. By analyzing Beta Drugs' technical indicators, you can evaluate if the expected return of 0.66% is justified by implied risk. Please makes use of Beta Drugs' Downside Deviation of 2.7, mean deviation of 3.0, and Risk Adjusted Performance of 0.1602 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Beta Drugs holds a performance score of 14. The firm shows a Beta (market volatility) of -0.0202, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Beta Drugs are expected to decrease at a much lower rate. During the bear market, Beta Drugs is likely to outperform the market. Please check Beta Drugs' total risk alpha, treynor ratio, value at risk, as well as the relationship between the sortino ratio and maximum drawdown , to make a quick decision on whether Beta Drugs' price patterns will revert.
Auto-correlation | 0.80 |
Very good predictability
Beta Drugs has very good predictability. Overlapping area represents the amount of predictability between Beta Drugs time series from 30th of May 2024 to 28th of August 2024 and 28th of August 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 Beta Drugs price movement. The serial correlation of 0.8 indicates that around 80.0% of current Beta Drugs price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.8 | |
| Spearman Rank Test | 0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 27.8 K |
Beta Drugs lagged returns against current returns
Autocorrelation, which is Beta Drugs 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 Beta Drugs' stock expected returns. We can calculate the autocorrelation of Beta Drugs returns to help us make a trade decision. For example, suppose you find that Beta Drugs 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 |
Beta Drugs 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 Beta Drugs stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Beta Drugs stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Beta Drugs stock over time.
Current vs Lagged Prices |
| Timeline |
Beta Drugs Lagged Returns
When evaluating Beta Drugs' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Beta Drugs stock have on its future price. Beta Drugs 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, Beta Drugs autocorrelation shows the relationship between Beta Drugs stock current value and its past values and can show if there is a momentum factor associated with investing in Beta Drugs.
Regressed Prices |
| Timeline |
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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.Additional Tools for Beta Stock Analysis
When running Beta Drugs' price analysis, check to measure Beta Drugs' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Beta Drugs is operating at the current time. Most of Beta Drugs' value examination focuses on studying past and present price action to predict the probability of Beta Drugs' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Beta Drugs' price. Additionally, you may evaluate how the addition of Beta Drugs to your portfolios can decrease your overall portfolio volatility.