Exchange Income Stock Market Value
| EIF Stock | CAD 56.87 0.25 0.44% |
| Symbol | Exchange |
Exchange Income Price To Book Ratio
Exchange Income '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 Exchange Income'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 Exchange Income.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Exchange Income on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Exchange Income or generate 0.0% return on investment in Exchange Income over 30 days. Exchange Income is related to or competes with Capital Power, Keyera Corp, Parkland Fuel, and TFI International. Exchange Income Corporation engages in aerospace and aviation services and equipment, and manufacturing businesses world... More
Exchange Income 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 Exchange Income'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 Exchange Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9083 | |||
| Information Ratio | 0.114 | |||
| Maximum Drawdown | 5.82 | |||
| Value At Risk | (1.40) | |||
| Potential Upside | 1.99 |
Exchange Income Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Exchange Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Exchange Income's standard deviation. In reality, there are many statistical measures that can use Exchange Income historical prices to predict the future Exchange Income's volatility.| Risk Adjusted Performance | 0.1866 | |||
| Jensen Alpha | 0.2214 | |||
| Total Risk Alpha | 0.0769 | |||
| Sortino Ratio | 0.1273 | |||
| Treynor Ratio | 2.16 |
Exchange Income Backtested Returns
Exchange Income appears to be very steady, given 3 months investment horizon. Exchange Income secures Sharpe Ratio (or Efficiency) of 0.25, which denotes the company had a 0.25% return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for Exchange Income, which you can use to evaluate the volatility of the firm. Please utilize Exchange Income's Downside Deviation of 0.9083, semi deviation of 0.6232, and Mean Deviation of 0.7392 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Exchange Income holds a performance score of 19. The firm shows a Beta (market volatility) of 0.11, which means not very significant fluctuations relative to the market. As returns on the market increase, Exchange Income's returns are expected to increase less than the market. However, during the bear market, the loss of holding Exchange Income is expected to be smaller as well. Please check Exchange Income's treynor ratio, expected short fall, and the relationship between the jensen alpha and potential upside , to make a quick decision on whether Exchange Income's price patterns will revert.
Auto-correlation | 0.17 |
Very weak predictability
Exchange Income has very weak predictability. Overlapping area represents the amount of predictability between Exchange Income time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th of November 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 Exchange Income price movement. The serial correlation of 0.17 indicates that over 17.0% of current Exchange Income price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.17 | |
| Spearman Rank Test | 0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 0.2 |
Exchange Income lagged returns against current returns
Autocorrelation, which is Exchange Income 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 Exchange Income's stock expected returns. We can calculate the autocorrelation of Exchange Income returns to help us make a trade decision. For example, suppose you find that Exchange Income 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 |
Exchange Income 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 Exchange Income stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Exchange Income stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Exchange Income stock over time.
Current vs Lagged Prices |
| Timeline |
Exchange Income Lagged Returns
When evaluating Exchange Income's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Exchange Income stock have on its future price. Exchange Income 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, Exchange Income autocorrelation shows the relationship between Exchange Income stock current value and its past values and can show if there is a momentum factor associated with investing in Exchange Income.
Regressed Prices |
| Timeline |
Pair Trading with Exchange Income
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 Exchange Income 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 Exchange Income will appreciate offsetting losses from the drop in the long position's value.Moving together with Exchange Stock
The ability to find closely correlated positions to Exchange Income could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Exchange Income 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 Exchange Income - 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 Exchange Income to buy it.
The correlation of Exchange Income 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 Exchange Income moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Exchange Income 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 Exchange Income 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 Exchange Stock
Exchange Income financial ratios help investors to determine whether Exchange 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 Exchange with respect to the benefits of owning Exchange Income security.