# Getty Stock Market Value

GTC Stock | CAD 0.045 0.005 10.00% |

Symbol | Getty |

## Getty Copper '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 Getty Copper'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 Getty Copper.

05/10/2023 |
| 06/09/2023 |

If you would invest

**0.00**in Getty Copper on**May 10, 2023**and sell it all today you would**earn a total of 0.00**from holding Getty Copper or generate**0.0%**return on investment in Getty Copper over**30**days. Getty Copper is related to or competes with Niocorp Developments, Ascendant Resources, and Titan Mining. Getty Copper Inc. engages in the acquisition and exploration of natural resource properties in Canada More## Getty Copper 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 Getty Copper'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 Getty Copper upside and downside potential and time the market with a certain degree of confidence.

Downside Deviation | 30.74 | |||

Information Ratio | 0.0559 | |||

Maximum Drawdown | 106.67 | |||

Value At Risk | (20.00) | |||

Potential Upside | 25.0 |

## Getty Copper Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Getty Copper's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Getty Copper's standard deviation. In reality, there are many statistical measures that can use Getty Copper historical prices to predict the future Getty Copper's volatility.Risk Adjusted Performance | 0.061 | |||

Jensen Alpha | 0.7992 | |||

Total Risk Alpha | 0.7929 | |||

Sortino Ratio | 0.026 | |||

Treynor Ratio | (0.23) |

Sophisticated investors, who have witnessed many market ups and downs, frequently view the market will even out over time. This tendency of Getty Copper'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. Please use the tools below to analyze the current value of Getty Copper in the context of predictive analytics.

Please note, it is not enough to conduct a financial or market analysis of a single entity such as Getty Copper. Your research has to be compared to or analyzed against Getty Copper's peers to derive any actionable benefits. When done correctly, Getty Copper's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Getty Copper.

## Getty Copper Backtested Returns

Getty Copper appears to be out of control, given 3 months investment horizon. Getty Copper holds Efficiency (Sharpe) Ratio of 0.0584, which attests that the entity had 0.0584% of return per unit of risk over the last 3 months. Our standpoint towards determining the volatility of a stock is to use all available market data together with stock-specific technical indicators that cannot be diversified away. By evaluating Getty Copper technical indicators you can presently evaluate if the expected return of 0.86% is justified by implied risk. Please utilize Getty Copper's Risk Adjusted Performance of 0.061, downside deviation of 30.74, and Market Risk Adjusted Performance of (0.22) to validate if our risk estimates are consistent with your expectations.

On a scale of 0 to 100, Getty Copper holds a performance score of 4. The company retains a Market Volatility (i.e., Beta) of -3.5085, which attests to a somewhat significant risk relative to the market. Let's try to break down what Getty's beta means in this case. As returns on the market increase, returns on owning Getty Copper are expected to decrease by larger amounts. On the other hand, during market turmoil, Getty Copper is expected to outperform it. Although it is vital to follow Getty Copper current price history, it is good to be conservative about what you can do with the information regarding equity current price movements. The philosophy towards determining future performance of any stock is to evaluate the business as a whole together with its past performance, including all available fundamental and technical indicators. We have found twenty-one technical indicators for Getty Copper, which you can use to evaluate the performance of the firm. Please utilizes Getty Copper variance, maximum drawdown, as well as the relationship between the Maximum Drawdown and semi variance to make a quick decision on whether Getty Copper current trending patterns will revert.

## Auto-correlation | 0.70 |

### Good predictability

Getty Copper has good predictability. Overlapping area represents the amount of predictability between Getty Copper time series from 10th of May 2023 to 25th of May 2023 and 25th of May 2023 to 9th of June 2023. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Getty Copper price movement. The serial correlation of

**0.7**indicates that around 70.0% of current Getty Copper price fluctuation can be explain by its past prices.Correlation Coefficient | 0.7 | |

Spearman Rank Test | 0.67 | |

Residual Average | 0.0 | |

Price Variance | 0.0 |

## Getty Copper lagged returns against current returns

Autocorrelation, which is Getty Copper 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 Getty Copper's stock expected returns. We can calculate the autocorrelation of Getty Copper returns to help us make a trade decision. For example, suppose you find that Getty Copper stock 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 stock movement to match the lagging time series.

Current and Lagged Values |

Timeline |

## Getty Copper 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 Getty Copper stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Getty Copper stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Getty Copper stock over time.

Current vs Lagged Prices |

Timeline |

## Getty Copper Lagged Returns

When evaluating Getty Copper's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Getty Copper stock have on its future price. Getty Copper 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, Getty Copper autocorrelation shows the relationship between Getty Copper stock current value and its past values and can show if there is a momentum factor associated with investing in Getty Copper.

Regressed Prices |

Timeline |

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Getty Copper in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Getty Copper's short interest history, or implied volatility extrapolated from Getty Copper options trading.

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Macroaxis puts the power of mathematics on your side. We analyze your portfolios and positions such as Getty Copper using complex mathematical models and algorithms, but make them easy to understand. There is no real person involved in your portfolio analysis. We perform a number of calculations to compute absolute and relative portfolio volatility, correlation between your assets, value at risk, expected return as well as over 100 different fundamental and technical indicators.## Build Optimal Portfolios

### Align your risk with return expectations

Check out Getty Copper Correlation, Getty Copper Volatility and Getty Copper Alpha and Beta module to complement your research on Getty Copper. You can also try the Money Managers module to screen money managers from public funds and ETFs managed around the world.

## Complementary Tools for Getty Stock analysis

When running Getty Copper's price analysis, check to measure Getty Copper'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 Getty Copper is operating at the current time. Most of Getty Copper's value examination focuses on studying past and present price action to predict the probability of Getty Copper's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Getty Copper's price. Additionally, you may evaluate how the addition of Getty Copper to your portfolios can decrease your overall portfolio volatility.

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Getty Copper 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.