- published: 10 Mar 2016
- views: 1279
QRadar Open Mic replay: 7.2.5 Features. Part 3 - Historical Correlation. Open Mic presentation: https://ibm.biz/BdXvRU Discusses Historical Correlation and how users can run events through a new CRE instance to generate offenses for historical data. This is a new feature added to the User Interface for users in QRadar 7.2.5.
This video provides an overview of the results of a correlation study that compared the Bradley Siderograph and the Advanced Astro Indicator against 60 securities for 2015. NOTE: At the end of the video I meant to say that I found the "Long Terms and No Opposite Weights" to be the most interesting Advanced Astro Indicator (i.e., I didn't mean to say "Long Terms and No Oppositions.").
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This video explains the basics of correlation, and shows how to find the correlation between two assets step by step. Join us in the discussion on InformedTrades: http://www.informedtrades.com/851244-how-find-correlation-between-two-assets-step-step.html Practice trading using a free Forex demo account: http://tracking.leadfinance.com/SH3S
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Examples of positively correlated assets and negatively correlated assets, and what that means for diversification.
This is a bit messy, but I recently managed to find some of the files that I used for an article on using Eclipses in the Anglo-Saxon Chronicles to calibrate that historical document, and possibly other events, to the one absolute constant; the movement of time expressed in the sky. There are a lot of difficulties with this approach, and this is only a quick over view. It is not a proof or a rebuttal. When I saw the 'Missing/Faked History' videos I obviously thought of my own work I did on this article about 20 years ago. To investigate and establish the fundamental truth behind the solar eclipse entries, it would require a doctorate level of investigation. I will aim to do a follow up video on this as soon as I have more time and resource, but I had to just rush this one out!
We discuss linear correlation between two variables, least squares linear regression and non-linear transformations.
Discusses how to download two companies' stock returns from Yahoo Finance, and calculate (a) the variance and standard deviation of each stock, and (b) the covariance and correlation of the returns of both stocks. Some good books on Excel and Finance: Financial Modeling - by Benninga: http://amzn.to/2tByGQ2 Principles of Finance with Excel - by Benninga: http://amzn.to/2uaCyo6
From http://www.nitrosecurity.com/resources/webcasts/detecting-advanced-threats-using-risk-score-correlation-and-siem/ New Risk Score Correlation technology, as part of a high performance SIEM, can continuously monitor and quantify network activity in real time to uncover potential risks and threats. It helps detect suspicious activity levels associated with key users and assets that represent the most significant business risks, and alerts analysts when closer inspection is needed. Risk Score Correlation complements current rule-based correlation engines to make threat detection more effective and efficient and can be applied to both real-time and historical event data.
Today we’re going to talk about data relationships and what we can learn from them. We’ll focus on correlation, which is a measure of how two variables move together, and we’ll also introduce some useful statistical terms you’ve probably heard of like regression coefficient, correlation coefficient (r), and r^2. But first, we’ll need to introduce a useful way to represent bivariate continuous data - the scatter plot. The scatter plot has been called “the most useful invention in the history of statistical graphics” but that doesn’t necessarily mean it can tell us everything. Just because two data sets move together doesn’t necessarily mean one CAUSES the other. This gives us one of the most important tenets of statistics: correlation does not imply causation. Crash Course is on Patreon! ...
Uses Excel to illustrate correlation between Exxon stock returns and a fictitious company's stock returns. Plots a graph of stock returns to provide a graphical understanding of this concept.
Is the Historical Timeline presented to Us Correct? Are We really in the 21st Century? Old Maps and Illustrations give Us a very Different Picture. Isaac Newton Chronological Studies. http://chronologia.org/en/ http://www.ilya.it/chrono/enpages/weristwer.html#N
Bad historical assumptions about why things happen - after all, ice cream consumption was blamed for causing polio once upon a time. Clip from the 2010 documentary "Freakonomics: The Movie". A dream team of directors explore the hidden side of everything.
An introduction to Volatility and Correlation using components of the corresponding module found under Optimal MRM's market risk e-Learning service. The full presentation includes risk measurement exercises in Excel and guides subscribers as they practice the concepts and techniques presented in a hands-on manner. We invite you to attend a complimentary e-Learning demo module (http://www.optimalmrm.com/services/elearning-catalog/17-banks/22-basel/) to experience how Optimal MRM delivers a practical understanding of risk in a rich and interactive manner.
Correlation ratio (corr indicator) measures the most recent price move against price moves in the same period in the historical data. It compares price move in last few price bars defined by the parameter "corrLen" against the historical data and plots the correlation ratio.Correlation ratio values falls within the range zero to one. Extreme values in the correlation ratio indicates significant deviation from usual price moves in the asset. It is a statistical measure, not a technical indicator. However in trading, when correlation ratio reaches an extreme level, price reversal or consolidation is anticipated. Deviations from normal price behavior indicates an overbought or oversold market condition. Thus it can be used for counter trend trading and profit booking. It works well in conjun...
The definition, visualization and demonstration of a calculation of the correlation matrix in Excel. We discuss the three types of models, including historical, single-index and multi-factor. For investment and financial modeling of stocks and portfolios. Of course you can use the =COVARIANCE.S function or =CORREL but to truly learn investment modeling knowing this calculation is vital. https://factorpad.com/fin/glossary/correlation-matrix.html Topics covered in our investment glossary: Excel tutorial, Python examples, portfolio theory, portfolio return, portfolio risk, correlation, regression, linear algebra, alpha signal, risk models, performance attribution. Glossary: https://factorpad.com/fin/glossary/index.html Innovators: https://factorpad.com/fin/innovators/index.html https:...
This Great Companies, Inc. Fundamental Research graph supports the old adage; earnings are optional but cash is king, and L-3 generates strong operating cash flows (Dark Orange area marked with O) and importantly free cash flow (Orange Line marked F) that closely approximates earnings per share. So even though debt represents 44% of their total capital, they clearly generate more than adequate cash flows to handle it.
Learn more about the concept of correlation and how it impacts an investor's portfolio. Historical correlation can be calculated, although future correlation can only be estimated. Discover how important the theory of correlation is for your portfolio and how you might use ETF's to increase portfolio diversification.