Gryphon Tangible Book Value Per Share from 2010 to 2024

GRYP Stock   0.66  0.01  1.49%   
Gryphon Digital Tangible Book Value Per Share yearly trend continues to be relatively stable with very little volatility. Tangible Book Value Per Share is likely to grow to -0.03 this year. During the period from 2010 to 2024, Gryphon Digital Tangible Book Value Per Share destribution of quarterly values had r-value of  0.1 from its regression line and median of  1.45. View All Fundamentals
 
Tangible Book Value Per Share  
First Reported
2010-12-31
Previous Quarter
(0.03)
Current Value
(0.03)
Quarterly Volatility
819.4906398
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Gryphon Digital financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Gryphon Digital's main balance sheet or income statement drivers, such as Interest Income of 1 M, Interest Expense of 0.0 or Selling General Administrative of 8.2 M, as well as many indicators such as Price To Sales Ratio of 30.07, Dividend Yield of 0.0 or Days Sales Outstanding of 36.01. Gryphon financial statements analysis is a perfect complement when working with Gryphon Digital Valuation or Volatility modules.
  
Check out the analysis of Gryphon Digital Correlation against competitors.

Latest Gryphon Digital's Tangible Book Value Per Share Growth Pattern

Below is the plot of the Tangible Book Value Per Share of Gryphon Digital Mining over the last few years. It is Gryphon Digital's Tangible Book Value Per Share historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Gryphon Digital's overall financial position and show how it may be relating to other accounts over time.
Tangible Book Value Per Share10 Years Trend
Very volatile
   Tangible Book Value Per Share   
       Timeline  

Gryphon Tangible Book Value Per Share Regression Statistics

Arithmetic Mean265.33
Coefficient Of Variation308.85
Mean Deviation422.76
Median1.45
Standard Deviation819.49
Sample Variance671,565
Range3.2K
R-Value0.1
Mean Square Error716,070
R-Squared0.01
Significance0.72
Slope18.23
Total Sum of Squares9.4M

Gryphon Tangible Book Value Per Share History

2024 -0.0267
2023 -0.0281
2022 -0.24
2021 2.02
2019 390.12
2018 3186.46

About Gryphon Digital Financial Statements

Gryphon Digital shareholders use historical fundamental indicators, such as Tangible Book Value Per Share, to determine how well the company is positioned to perform in the future. Although Gryphon Digital investors may analyze each financial statement separately, they are all interrelated. The changes in Gryphon Digital's assets and liabilities, for example, are also reflected in the revenues and expenses on on Gryphon Digital's 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
Tangible Book Value Per Share(0.03)(0.03)

Pair Trading with Gryphon Digital

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 Gryphon Digital 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 Gryphon Digital will appreciate offsetting losses from the drop in the long position's value.

Moving together with Gryphon Stock

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Moving against Gryphon Stock

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

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