Coffee Day (India) Market Value
| COFFEEDAY | 30.82 0.00 0.00% |
| Symbol | Coffee |
Coffee Day '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 Coffee Day's 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 Coffee Day.
| 10/24/2024 |
| 11/23/2024 |
If you would invest 0.00 in Coffee Day on October 24, 2024 and sell it all today you would earn a total of 0.00 from holding Coffee Day Enterprises or generate 0.0% return on investment in Coffee Day over 30 days. Coffee Day is related to or competes with Reliance Industries, Oil Natural, ICICI Bank, and Bharti Airtel. Coffee Day is entity of India. It is traded as Stock on NSE exchange. More
Coffee Day 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 Coffee Day's 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 Coffee Day Enterprises upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.18) | |||
| Maximum Drawdown | 10.02 | |||
| Value At Risk | (5.01) | |||
| Potential Upside | 4.99 |
Coffee Day Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Coffee Day's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Coffee Day's standard deviation. In reality, there are many statistical measures that can use Coffee Day historical prices to predict the future Coffee Day's volatility.| Risk Adjusted Performance | (0.1) | |||
| Jensen Alpha | (0.37) | |||
| Total Risk Alpha | (0.76) | |||
| Treynor Ratio | (2.06) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Coffee Day'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.
Coffee Day Enterprises Backtested Returns
Coffee Day Enterprises secures Sharpe Ratio (or Efficiency) of -0.14, which signifies that the company had a -0.14% return per unit of standard deviation over the last 3 months. Coffee Day Enterprises exposes nineteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Coffee Day's mean deviation of 1.8, and Risk Adjusted Performance of (0.1) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.17, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Coffee Day's returns are expected to increase less than the market. However, during the bear market, the loss of holding Coffee Day is expected to be smaller as well. At this point, Coffee Day Enterprises has a negative expected return of -0.35%. Please make sure to confirm Coffee Day's total risk alpha, and the relationship between the variance and skewness , to decide if Coffee Day Enterprises performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.83 |
Excellent reverse predictability
Coffee Day Enterprises has excellent reverse predictability. Overlapping area represents the amount of predictability between Coffee Day time series from 24th of October 2024 to 8th of November 2024 and 8th of November 2024 to 23rd 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 Coffee Day Enterprises price movement. The serial correlation of -0.83 indicates that around 83.0% of current Coffee Day price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.83 | |
| Spearman Rank Test | -0.67 | |
| Residual Average | 0.0 | |
| Price Variance | 1.21 |
Coffee Day Enterprises lagged returns against current returns
Autocorrelation, which is Coffee Day 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 Coffee Day's stock expected returns. We can calculate the autocorrelation of Coffee Day returns to help us make a trade decision. For example, suppose you find that Coffee Day 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 |
Coffee Day 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 Coffee Day stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Coffee Day stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Coffee Day stock over time.
Current vs Lagged Prices |
| Timeline |
Coffee Day Lagged Returns
When evaluating Coffee Day's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Coffee Day stock have on its future price. Coffee Day 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, Coffee Day autocorrelation shows the relationship between Coffee Day stock current value and its past values and can show if there is a momentum factor associated with investing in Coffee Day Enterprises.
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 Coffee Stock
Coffee Day financial ratios help investors to determine whether Coffee 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 Coffee with respect to the benefits of owning Coffee Day security.