Alarum Graham Number from 2010 to 2024

ALAR Stock   13.63  1.57  10.33%   
Alarum Technologies Graham Number yearly trend continues to be relatively stable with very little volatility. Graham Number is likely to drop to 0.96. During the period from 2010 to 2024, Alarum Technologies Graham Number destribution of quarterly values had range of 2.8 K from its regression line and mean deviation of  767.15. View All Fundamentals
 
Graham Number  
First Reported
2010-12-31
Previous Quarter
1.01071584
Current Value
0.96
Quarterly Volatility
915.64834853
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Alarum Technologies financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Alarum Technologies' main balance sheet or income statement drivers, such as Depreciation And Amortization of 909.9 K, Selling General Administrative of 6.1 M or Selling And Marketing Expenses of 4.3 M, as well as many indicators such as Price To Sales Ratio of 1.12, Dividend Yield of 0.0 or PTB Ratio of 2.49. Alarum financial statements analysis is a perfect complement when working with Alarum Technologies Valuation or Volatility modules.
  
Check out the analysis of Alarum Technologies Correlation against competitors.
To learn how to invest in Alarum Stock, please use our How to Invest in Alarum Technologies guide.

Latest Alarum Technologies' Graham Number Growth Pattern

Below is the plot of the Graham Number of Alarum Technologies over the last few years. It is Alarum Technologies' Graham Number historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Alarum Technologies' overall financial position and show how it may be relating to other accounts over time.
Graham Number10 Years Trend
Slightly volatile
   Graham Number   
       Timeline  

Alarum Graham Number Regression Statistics

Arithmetic Mean866.22
Geometric Mean104.88
Coefficient Of Variation105.71
Mean Deviation767.15
Median841.00
Standard Deviation915.65
Sample Variance838,412
Range2.8K
R-Value(0.84)
Mean Square Error273,078
R-Squared0.70
Significance0.0001
Slope(171.00)
Total Sum of Squares11.7M

Alarum Graham Number History

2024 0.96
2023 1.01
2022 2.0
2021 3.12
2020 2.95
2019 17.05
2018 308.0

About Alarum Technologies Financial Statements

Alarum Technologies shareholders use historical fundamental indicators, such as Graham Number, to determine how well the company is positioned to perform in the future. Although Alarum Technologies investors may analyze each financial statement separately, they are all interrelated. The changes in Alarum Technologies' assets and liabilities, for example, are also reflected in the revenues and expenses on on Alarum Technologies' income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Graham Number 1.01  0.96 

Pair Trading with Alarum Technologies

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 Alarum Technologies 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 Alarum Technologies will appreciate offsetting losses from the drop in the long position's value.

Moving against Alarum Stock

  0.38FAAS DigiAsia Corp Symbol ChangePairCorr
  0.31VHAI VHAIPairCorr
The ability to find closely correlated positions to Alarum Technologies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Alarum Technologies 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 Alarum Technologies - 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 Alarum Technologies to buy it.
The correlation of Alarum Technologies 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 Alarum Technologies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Alarum Technologies 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 Alarum Technologies 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

Additional Tools for Alarum Stock Analysis

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