Rogers Sugar Stock Market Value
| RSI Stock | CAD 6.29 0.05 0.80% |
| Symbol | Rogers |
Rogers Sugar Price To Book Ratio
Rogers Sugar '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 Rogers Sugar'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 Rogers Sugar.
| 12/15/2022 |
| 12/04/2024 |
If you would invest 0.00 in Rogers Sugar on December 15, 2022 and sell it all today you would earn a total of 0.00 from holding Rogers Sugar or generate 0.0% return on investment in Rogers Sugar over 720 days. Rogers Sugar is related to or competes with Extendicare, Pizza Pizza, Chemtrade Logistics, Sienna Senior, and NorthWest Healthcare. Rogers Sugar Inc. engages in refining, packaging, and marketing sugar and maple products More
Rogers Sugar 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 Rogers Sugar'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 Rogers Sugar upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7197 | |||
| Information Ratio | 0.1251 | |||
| Maximum Drawdown | 3.81 | |||
| Value At Risk | (1.05) | |||
| Potential Upside | 1.28 |
Rogers Sugar Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Rogers Sugar's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Rogers Sugar's standard deviation. In reality, there are many statistical measures that can use Rogers Sugar historical prices to predict the future Rogers Sugar's volatility.| Risk Adjusted Performance | 0.1839 | |||
| Jensen Alpha | 0.2332 | |||
| Total Risk Alpha | 0.0929 | |||
| Sortino Ratio | 0.1748 | |||
| Treynor Ratio | (5.76) |
Rogers Sugar Backtested Returns
Rogers Sugar appears to be not too volatile, given 3 months investment horizon. Rogers Sugar maintains Sharpe Ratio (i.e., Efficiency) of 0.22, which implies the firm had a 0.22% return per unit of risk over the last 3 months. We have found thirty technical indicators for Rogers Sugar, which you can use to evaluate the volatility of the company. Please evaluate Rogers Sugar's Semi Deviation of 0.2839, risk adjusted performance of 0.1839, and Coefficient Of Variation of 420.5 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Rogers Sugar holds a performance score of 17. The company holds a Beta of -0.0398, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Rogers Sugar are expected to decrease at a much lower rate. During the bear market, Rogers Sugar is likely to outperform the market. Please check Rogers Sugar's total risk alpha, expected short fall, market facilitation index, as well as the relationship between the value at risk and daily balance of power , to make a quick decision on whether Rogers Sugar's historical price patterns will revert.
Auto-correlation | -0.53 |
Good reverse predictability
Rogers Sugar has good reverse predictability. Overlapping area represents the amount of predictability between Rogers Sugar 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 Rogers Sugar price movement. The serial correlation of -0.53 indicates that about 53.0% of current Rogers Sugar price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.53 | |
| Spearman Rank Test | -0.2 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Rogers Sugar lagged returns against current returns
Autocorrelation, which is Rogers Sugar 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 Rogers Sugar's stock expected returns. We can calculate the autocorrelation of Rogers Sugar returns to help us make a trade decision. For example, suppose you find that Rogers Sugar 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 |
Rogers Sugar 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 Rogers Sugar stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Rogers Sugar stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Rogers Sugar stock over time.
Current vs Lagged Prices |
| Timeline |
Rogers Sugar Lagged Returns
When evaluating Rogers Sugar's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Rogers Sugar stock have on its future price. Rogers Sugar 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, Rogers Sugar autocorrelation shows the relationship between Rogers Sugar stock current value and its past values and can show if there is a momentum factor associated with investing in Rogers Sugar.
Regressed Prices |
| Timeline |
Pair Trading with Rogers Sugar
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 Rogers Sugar 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 Rogers Sugar will appreciate offsetting losses from the drop in the long position's value.Moving together with Rogers Stock
| 0.62 | FFH-PJ | Fairfax Financial | PairCorr |
| 0.61 | FFH-PH | Fairfax Financial | PairCorr |
| 0.65 | FFH-PF | Fairfax Financial | PairCorr |
The ability to find closely correlated positions to Rogers Sugar could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Rogers Sugar 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 Rogers Sugar - 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 Rogers Sugar to buy it.
The correlation of Rogers Sugar 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 Rogers Sugar moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Rogers Sugar 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 Rogers Sugar 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.Other Information on Investing in Rogers Stock
Rogers Sugar financial ratios help investors to determine whether Rogers 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 Rogers with respect to the benefits of owning Rogers Sugar security.