Beta Drugs (India) Market Value
| BETA Stock | 1,706 43.70 2.63% |
| 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.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in Beta Drugs on December 17, 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 90 days. Beta Drugs is related to or competes with Rajnandini Metal, Ratnamani Metals, Manaksia Coated, Shyam Metalics, LLOYDS METALS, and Madhav Copper. 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.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 16.49 | |||
| Value At Risk | (4.93) | |||
| Potential Upside | 9.3 |
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 | (0.07) | |||
| Jensen Alpha | (0.34) | |||
| Total Risk Alpha | 0.1444 | |||
| Treynor Ratio | (20.71) |
Beta Drugs Backtested Returns
Beta Drugs secures Sharpe Ratio (or Efficiency) of -0.0716, which signifies that the company had a -0.0716 % return per unit of risk over the last 3 months. Beta Drugs exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Beta Drugs' Standard Deviation of 3.85, risk adjusted performance of (0.07), and Mean Deviation of 2.83 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.0163, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Beta Drugs' returns are expected to increase less than the market. However, during the bear market, the loss of holding Beta Drugs is expected to be smaller as well. At this point, Beta Drugs has a negative expected return of -0.28%. Please make sure to confirm Beta Drugs' potential upside, kurtosis, and the relationship between the value at risk and skewness , to decide if Beta Drugs performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.59 |
Modest predictability
Beta Drugs has modest predictability. Overlapping area represents the amount of predictability between Beta Drugs time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 2025. 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 0.59 indicates that roughly 59.0% of current Beta Drugs price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.59 | |
| Spearman Rank Test | 0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 13.3 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.