Cipher Short Term Debt from 2010 to 2024

CPH Stock  CAD 14.86  0.30  2.06%   
Cipher Pharmaceuticals Short Term Debt yearly trend continues to be very stable with very little volatility. Short Term Debt is likely to drop to about 89.3 K. During the period from 2010 to 2024, Cipher Pharmaceuticals Short Term Debt quarterly data regression pattern had range of 47.5 M and standard deviation of  12,944,580. View All Fundamentals
 
Short Term Debt  
First Reported
2004-03-31
Previous Quarter
95 K
Current Value
96 K
Quarterly Volatility
6.9 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Cipher Pharmaceuticals financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Cipher Pharmaceuticals' main balance sheet or income statement drivers, such as Depreciation And Amortization of 1.4 M, Interest Expense of 506.9 K or Selling General Administrative of 8.8 M, as well as many indicators such as Price To Sales Ratio of 4.78, Dividend Yield of 0.0458 or PTB Ratio of 1.26. Cipher financial statements analysis is a perfect complement when working with Cipher Pharmaceuticals Valuation or Volatility modules.
  
This module can also supplement various Cipher Pharmaceuticals Technical models . Check out the analysis of Cipher Pharmaceuticals Correlation against competitors.

Pair Trading with Cipher Pharmaceuticals

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 Cipher Pharmaceuticals 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 Cipher Pharmaceuticals will appreciate offsetting losses from the drop in the long position's value.

Moving against Cipher Stock

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The ability to find closely correlated positions to Cipher Pharmaceuticals could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cipher Pharmaceuticals 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 Cipher Pharmaceuticals - 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 Cipher Pharmaceuticals to buy it.
The correlation of Cipher Pharmaceuticals 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 Cipher Pharmaceuticals moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cipher Pharmaceuticals 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 Cipher Pharmaceuticals 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.
Pair CorrelationCorrelation Matching

Other Information on Investing in Cipher Stock

Cipher Pharmaceuticals financial ratios help investors to determine whether Cipher 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 Cipher with respect to the benefits of owning Cipher Pharmaceuticals security.