Coca Cola (Greece) Market Value
| EEE Stock | EUR 32.46 0.08 0.25% |
| Symbol | Coca |
Coca Cola '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 Coca Cola'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 Coca Cola.
| 11/26/2023 |
| 05/24/2024 |
If you would invest 0.00 in Coca Cola on November 26, 2023 and sell it all today you would earn a total of 0.00 from holding Coca Cola HBC AG or generate 0.0% return on investment in Coca Cola over 180 days. Coca Cola is related to or competes with National Bank, EL D, Lampsa Hellenic, Selected Textiles, Eurobank Ergasias, Vogiatzoglou Systems, and Alpha Trust. Coca-Cola HBC AG produces, distributes, and sells non-alcoholic ready-to-drink beverages More
Coca Cola 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 Coca Cola'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 Coca Cola HBC AG upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.41 | |||
| Information Ratio | 0.208 | |||
| Maximum Drawdown | 10.09 | |||
| Value At Risk | (1.96) | |||
| Potential Upside | 2.11 |
Coca Cola Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Coca Cola's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Coca Cola's standard deviation. In reality, there are many statistical measures that can use Coca Cola historical prices to predict the future Coca Cola's volatility.| Risk Adjusted Performance | 0.1533 | |||
| Jensen Alpha | 0.3428 | |||
| Total Risk Alpha | 0.2288 | |||
| Sortino Ratio | 0.2081 | |||
| Treynor Ratio | (7.54) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Coca Cola'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.
Coca Cola HBC Backtested Returns
We consider Coca Cola very steady. Coca Cola HBC secures Sharpe Ratio (or Efficiency) of 0.16, which signifies that the company had a 0.16% return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for Coca Cola HBC AG, which you can use to evaluate the volatility of the firm. Please confirm Coca Cola's mean deviation of 0.962, and Risk Adjusted Performance of 0.1533 to double-check if the risk estimate we provide is consistent with the expected return of 0.19%. Coca Cola has a performance score of 12 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.0452, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Coca Cola are expected to decrease at a much lower rate. During the bear market, Coca Cola is likely to outperform the market. Coca Cola HBC right now shows a risk of 1.24%. Please confirm Coca Cola HBC downside deviation, information ratio, and the relationship between the semi deviation and coefficient of variation , to decide if Coca Cola HBC will be following its price patterns.
Auto-correlation | 0.12 |
Insignificant predictability
Coca Cola HBC AG has insignificant predictability. Overlapping area represents the amount of predictability between Coca Cola time series from 26th of November 2023 to 24th of February 2024 and 24th of February 2024 to 24th of May 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 Coca Cola HBC price movement. The serial correlation of 0.12 indicates that less than 12.0% of current Coca Cola price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.12 | |
| Spearman Rank Test | 0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 2.27 |
Coca Cola HBC lagged returns against current returns
Autocorrelation, which is Coca Cola 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 Coca Cola's stock expected returns. We can calculate the autocorrelation of Coca Cola returns to help us make a trade decision. For example, suppose you find that Coca Cola 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 |
Coca Cola 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 Coca Cola stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Coca Cola stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Coca Cola stock over time.
Current vs Lagged Prices |
| Timeline |
Coca Cola Lagged Returns
When evaluating Coca Cola's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Coca Cola stock have on its future price. Coca Cola 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, Coca Cola autocorrelation shows the relationship between Coca Cola stock current value and its past values and can show if there is a momentum factor associated with investing in Coca Cola HBC AG.
Regressed Prices |
| Timeline |
Pair Trading with Coca Cola
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Coca Cola position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Coca Cola will appreciate offsetting losses from the drop in the long position's value.Moving together with Coca Stock
| 0.9 | ETE | National Bank | PairCorr |
| 0.78 | EUROB | Eurobank Ergasias | PairCorr |
The ability to find closely correlated positions to Coca Cola could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Coca Cola when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Coca Cola - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Coca Cola HBC AG to buy it.
The correlation of Coca Cola is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Coca Cola moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Coca Cola HBC moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Coca Cola can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Coca Cola Correlation, Coca Cola Volatility and Coca Cola Alpha and Beta module to complement your research on Coca Cola. Note that the Coca Cola HBC information on this page should be used as a complementary analysis to other Coca Cola'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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Complementary Tools for Coca Stock analysis
When running Coca Cola's price analysis, check to measure Coca Cola's 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 Coca Cola is operating at the current time. Most of Coca Cola's value examination focuses on studying past and present price action to predict the probability of Coca Cola's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Coca Cola's price. Additionally, you may evaluate how the addition of Coca Cola to your portfolios can decrease your overall portfolio volatility.
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Coca Cola technical stock 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, stock market cycles, or different charting patterns.