Frigo Pak (Turkey) Market Value
| FRIGO Stock | TRY 8.14 0.07 0.87% |
| Symbol | Frigo |
Frigo Pak '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 Frigo Pak'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 Frigo Pak.
| 12/15/2022 |
| 12/04/2024 |
If you would invest 0.00 in Frigo Pak on December 15, 2022 and sell it all today you would earn a total of 0.00 from holding Frigo Pak Gida Maddeleri or generate 0.0% return on investment in Frigo Pak over 720 days. Frigo Pak is related to or competes with Pamel Yenilenebilir, Yesil Yatirim, and Kent Gida. Frigo-Pak Gida Maddeleri Sanayi ve Ticaret A.S More
Frigo Pak 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 Frigo Pak'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 Frigo Pak Gida Maddeleri upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.77 | |||
| Information Ratio | 0.0471 | |||
| Maximum Drawdown | 12.67 | |||
| Value At Risk | (3.98) | |||
| Potential Upside | 4.77 |
Frigo Pak Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Frigo Pak's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Frigo Pak's standard deviation. In reality, there are many statistical measures that can use Frigo Pak historical prices to predict the future Frigo Pak's volatility.| Risk Adjusted Performance | 0.0759 | |||
| Jensen Alpha | 0.2852 | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | 0.0446 | |||
| Treynor Ratio | (0.40) |
Frigo Pak Gida Backtested Returns
Frigo Pak is somewhat reliable at the moment. Frigo Pak Gida secures Sharpe Ratio (or Efficiency) of 0.0479, which denotes the company had a 0.0479% return per unit of risk over the last 3 months. We have found thirty technical indicators for Frigo Pak Gida Maddeleri, which you can use to evaluate the volatility of the firm. Please confirm Frigo Pak's Downside Deviation of 2.77, coefficient of variation of 1108.17, and Mean Deviation of 1.95 to check if the risk estimate we provide is consistent with the expected return of 0.12%. Frigo Pak has a performance score of 3 on a scale of 0 to 100. The firm shows a Beta (market volatility) of -0.56, which means possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Frigo Pak are expected to decrease at a much lower rate. During the bear market, Frigo Pak is likely to outperform the market. Frigo Pak Gida right now shows a risk of 2.58%. Please confirm Frigo Pak Gida potential upside, and the relationship between the total risk alpha and kurtosis , to decide if Frigo Pak Gida will be following its price patterns.
Auto-correlation | -0.55 |
Good reverse predictability
Frigo Pak Gida Maddeleri has good reverse predictability. Overlapping area represents the amount of predictability between Frigo Pak time series from 15th of December 2022 to 10th of December 2023 and 10th of December 2023 to 4th of December 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 Frigo Pak Gida price movement. The serial correlation of -0.55 indicates that about 55.0% of current Frigo Pak price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.55 | |
| Spearman Rank Test | 0.02 | |
| Residual Average | 0.0 | |
| Price Variance | 0.47 |
Frigo Pak Gida lagged returns against current returns
Autocorrelation, which is Frigo Pak 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 Frigo Pak's stock expected returns. We can calculate the autocorrelation of Frigo Pak returns to help us make a trade decision. For example, suppose you find that Frigo Pak 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 |
Frigo Pak 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 Frigo Pak stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Frigo Pak stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Frigo Pak stock over time.
Current vs Lagged Prices |
| Timeline |
Frigo Pak Lagged Returns
When evaluating Frigo Pak's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Frigo Pak stock have on its future price. Frigo Pak 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, Frigo Pak autocorrelation shows the relationship between Frigo Pak stock current value and its past values and can show if there is a momentum factor associated with investing in Frigo Pak Gida Maddeleri.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Other Information on Investing in Frigo Stock
Frigo Pak financial ratios help investors to determine whether Frigo 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 Frigo with respect to the benefits of owning Frigo Pak security.