Karora Resources Stock Market Value
| KRR Stock | CAD 5.57 0.06 1.09% |
| Symbol | Karora |
Karora Resources Price To Book Ratio
Karora Resources '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 Karora Resources' 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 Karora Resources.
| 04/30/2023 |
| 04/24/2024 |
If you would invest 0.00 in Karora Resources on April 30, 2023 and sell it all today you would earn a total of 0.00 from holding Karora Resources or generate 0.0% return on investment in Karora Resources over 360 days. Karora Resources is related to or competes with Calibre Mining, Victoria Gold, K92 Mining, and Jaguar Mining. Karora Resources Inc. operates as a multi-operational mineral resource company in Australia More
Karora Resources 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 Karora Resources' 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 Karora Resources upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.73 | |||
| Information Ratio | 0.1174 | |||
| Maximum Drawdown | 13.65 | |||
| Value At Risk | (4.43) | |||
| Potential Upside | 4.96 |
Karora Resources Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Karora Resources' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Karora Resources' standard deviation. In reality, there are many statistical measures that can use Karora Resources historical prices to predict the future Karora Resources' volatility.| Risk Adjusted Performance | 0.1002 | |||
| Jensen Alpha | 0.307 | |||
| Total Risk Alpha | 0.0485 | |||
| Sortino Ratio | 0.1171 | |||
| Treynor Ratio | 0.3424 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Karora Resources' 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.
Karora Resources Backtested Returns
Karora Resources appears to be slightly risky, given 3 months investment horizon. Karora Resources has Sharpe Ratio of 0.18, which conveys that the firm had a 0.18% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Karora Resources, which you can use to evaluate the volatility of the firm. Please exercise Karora Resources' Mean Deviation of 2.1, downside deviation of 2.73, and Risk Adjusted Performance of 0.1002 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Karora Resources holds a performance score of 13. The company secures a Beta (Market Risk) of 1.17, which conveys a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Karora Resources will likely underperform. Please check Karora Resources' semi variance, and the relationship between the maximum drawdown and accumulation distribution , to make a quick decision on whether Karora Resources' current price movements will revert.
Auto-correlation | -0.56 |
Good reverse predictability
Karora Resources has good reverse predictability. Overlapping area represents the amount of predictability between Karora Resources time series from 30th of April 2023 to 27th of October 2023 and 27th of October 2023 to 24th of April 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 Karora Resources price movement. The serial correlation of -0.56 indicates that roughly 56.0% of current Karora Resources price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.56 | |
| Spearman Rank Test | -0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 0.19 |
Karora Resources lagged returns against current returns
Autocorrelation, which is Karora Resources 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 Karora Resources' stock expected returns. We can calculate the autocorrelation of Karora Resources returns to help us make a trade decision. For example, suppose you find that Karora Resources 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 |
Karora Resources 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 Karora Resources stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Karora Resources stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Karora Resources stock over time.
Current vs Lagged Prices |
| Timeline |
Karora Resources Lagged Returns
When evaluating Karora Resources' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Karora Resources stock have on its future price. Karora Resources 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, Karora Resources autocorrelation shows the relationship between Karora Resources stock current value and its past values and can show if there is a momentum factor associated with investing in Karora Resources.
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 Karora Resources 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, Karora Resources' short interest history, or implied volatility extrapolated from Karora Resources options trading.
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Complementary Tools for Karora Stock analysis
When running Karora Resources' price analysis, check to measure Karora Resources' 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 Karora Resources is operating at the current time. Most of Karora Resources' value examination focuses on studying past and present price action to predict the probability of Karora Resources' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Karora Resources' price. Additionally, you may evaluate how the addition of Karora Resources to your portfolios can decrease your overall portfolio volatility.
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Karora Resources 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.